1 00:00:00,440 --> 00:00:04,080 Speaker 1: Hi everyone, it's Katiekuric. If you're looking for smart, comfortable 2 00:00:04,120 --> 00:00:07,360 Speaker 1: shoes made for the way we really live, you've got 3 00:00:07,360 --> 00:00:10,720 Speaker 1: to check out easyspirit dot com. They've got everything you 4 00:00:10,800 --> 00:00:14,760 Speaker 1: need for fall in extended widths and sizes. Enter the 5 00:00:14,800 --> 00:00:18,680 Speaker 1: comfort Zone and shop sneakers, loafers, comfort heels, and more 6 00:00:18,720 --> 00:00:22,640 Speaker 1: at easyspirit dot com. Today, listeners get twenty percent off 7 00:00:22,680 --> 00:00:31,680 Speaker 1: with the code next twenty. Hi everyone, I'm Katikuric and 8 00:00:31,800 --> 00:00:39,240 Speaker 1: this is Next Question. Welcome everyone to this live taping 9 00:00:39,280 --> 00:00:43,600 Speaker 1: of Next Question with me Katiekuric. I am very excited 10 00:00:43,800 --> 00:00:48,000 Speaker 1: to be having this important conversation produced in partnership with 11 00:00:48,120 --> 00:00:50,800 Speaker 1: Easy Spirit here at the Pailey Center for Media in 12 00:00:50,840 --> 00:00:54,840 Speaker 1: New York City in honor Breast Cancer Awareness Month. And 13 00:00:54,920 --> 00:00:59,040 Speaker 1: in our audience are lots of breast cancer survivors, people 14 00:00:59,080 --> 00:01:02,360 Speaker 1: who may be in treatment right now, and people who 15 00:01:02,360 --> 00:01:07,160 Speaker 1: are trying to raise money and awareness for this disease. This, 16 00:01:07,280 --> 00:01:09,800 Speaker 1: of course, is a topic that is very near and 17 00:01:09,880 --> 00:01:13,840 Speaker 1: dear to my heart. Literally, as some of you might 18 00:01:13,920 --> 00:01:16,280 Speaker 1: know and some of you listeners out there, I was 19 00:01:16,319 --> 00:01:20,440 Speaker 1: diagnosed with stage one A breast cancer in twenty twenty two. 20 00:01:21,200 --> 00:01:23,920 Speaker 1: I had spent the previous twenty four years as a 21 00:01:23,959 --> 00:01:28,199 Speaker 1: cancer advocate after losing my husband when he was forty 22 00:01:28,240 --> 00:01:32,280 Speaker 1: two years old to colon cancer, going as far as 23 00:01:32,319 --> 00:01:37,080 Speaker 1: getting a colonoscopy on the Today Show, because let's face it, 24 00:01:37,200 --> 00:01:42,040 Speaker 1: nothing says good morning like showing your calling on national 25 00:01:42,120 --> 00:01:48,800 Speaker 1: television at seven thirty am. Then a number of years later, 26 00:01:49,200 --> 00:01:52,440 Speaker 1: after a mammogram and a breast ultrasound, I went from 27 00:01:52,520 --> 00:01:57,800 Speaker 1: advocate to patient myself. I was really grateful through my 28 00:01:58,080 --> 00:02:01,400 Speaker 1: breast cancer journey to have access us to incredible care. 29 00:02:02,120 --> 00:02:05,200 Speaker 1: And one of our guests today is actually my rest surgeon, 30 00:02:05,280 --> 00:02:09,520 Speaker 1: doctor Lisa Newman, who held my hand and gave me 31 00:02:09,840 --> 00:02:14,040 Speaker 1: a ton of confidence and reassurance throughout the entire process. 32 00:02:14,680 --> 00:02:18,640 Speaker 1: I cannot say enough nice things about Lisa, who said 33 00:02:18,639 --> 00:02:22,960 Speaker 1: I could call her Lisa. 34 00:02:21,680 --> 00:02:22,840 Speaker 2: An easy spirit. 35 00:02:23,040 --> 00:02:26,560 Speaker 1: I am very grateful they've been able to help fund 36 00:02:26,639 --> 00:02:31,320 Speaker 1: some of doctor Newman's critically important life saving research. The 37 00:02:31,360 --> 00:02:34,239 Speaker 1: two of us are joined by another one of doctor 38 00:02:34,280 --> 00:02:39,320 Speaker 1: Newman's patients. It's like a little Lisa Newman fanclick very much. 39 00:02:39,960 --> 00:02:44,560 Speaker 1: Sharon Joseph. Sharon is the CEO of Boys and Girls 40 00:02:44,600 --> 00:02:47,520 Speaker 1: Club of Harlem and is still in the middle of 41 00:02:47,560 --> 00:02:51,320 Speaker 1: her treatment. So thank you both so much for joining 42 00:02:51,400 --> 00:02:53,799 Speaker 1: us today. And since this is a live podcast, I 43 00:02:53,880 --> 00:02:56,440 Speaker 1: think it's okay to ask you all to give these 44 00:02:56,560 --> 00:03:09,239 Speaker 1: ladies around ubform and our hope is that so many 45 00:03:09,320 --> 00:03:12,280 Speaker 1: women will listen to this podcast, So I hope you'll 46 00:03:12,320 --> 00:03:15,880 Speaker 1: spread the word because we hope to impart a lot 47 00:03:15,919 --> 00:03:21,520 Speaker 1: of important, as I said, life saving information to everyone listening. 48 00:03:21,720 --> 00:03:26,600 Speaker 1: So I think, Sharon, many of us our media thought 49 00:03:27,040 --> 00:03:30,240 Speaker 1: after being diagnosed, is I have cancer? 50 00:03:30,360 --> 00:03:30,720 Speaker 2: Now what? 51 00:03:31,600 --> 00:03:35,160 Speaker 1: And I'm hoping that today's conversation will shed some light 52 00:03:35,280 --> 00:03:39,960 Speaker 1: not only on the physical changes and treatment that you undergo, 53 00:03:40,200 --> 00:03:43,320 Speaker 1: but the mental and emotional toll it can also have 54 00:03:43,400 --> 00:03:47,360 Speaker 1: on you. You were diagnosed earlier this year, Sharon, tell me 55 00:03:47,400 --> 00:03:51,640 Speaker 1: about that day and how you felt hearing the news. 56 00:03:54,120 --> 00:03:57,440 Speaker 3: Needless to say, I was shocked. I don't know what 57 00:03:57,520 --> 00:03:59,880 Speaker 3: I thought a cancer pation looked like, but I didn't 58 00:04:00,120 --> 00:04:04,080 Speaker 3: you looked like me, which is such an arrogant assumption. 59 00:04:05,040 --> 00:04:09,560 Speaker 3: I had watched my mother have breast cancer and metastasized 60 00:04:09,600 --> 00:04:13,000 Speaker 3: her brain. I'd taken a BRACA test and it came 61 00:04:13,040 --> 00:04:16,720 Speaker 3: back negative, so I really thought I was clear. So 62 00:04:18,120 --> 00:04:21,400 Speaker 3: I knew I had dense bress, and I consistently had 63 00:04:21,440 --> 00:04:24,200 Speaker 3: my mammograms, and ironically, they had told me that I 64 00:04:24,240 --> 00:04:27,040 Speaker 3: couldn't get my mammogram until November December of this year, 65 00:04:27,800 --> 00:04:30,880 Speaker 3: and I advocated for having it earlier and I wound 66 00:04:30,960 --> 00:04:34,119 Speaker 3: up having it on Mother's Day. And I remember joking around, going, 67 00:04:34,160 --> 00:04:36,599 Speaker 3: this is the best Mother's Day gift I can give myself. 68 00:04:36,880 --> 00:04:39,359 Speaker 3: I didn't realize how true that statement was going to become. 69 00:04:40,120 --> 00:04:43,360 Speaker 3: And I always have a mammogram and ultra sound together. 70 00:04:44,680 --> 00:04:47,240 Speaker 3: And so I was on my way to church and 71 00:04:47,279 --> 00:04:50,880 Speaker 3: they kept bringing me back into the room and I'm like, hey, guys, 72 00:04:51,520 --> 00:04:55,040 Speaker 3: what's going on here? I gotta go, And then they 73 00:04:55,040 --> 00:04:57,680 Speaker 3: said we found something and I wasn't surprised. I have 74 00:04:57,800 --> 00:05:00,000 Speaker 3: dense bress. And then they sent me for a buyof 75 00:05:00,120 --> 00:05:04,320 Speaker 3: see and then I was joking around there too, still thinking, 76 00:05:04,440 --> 00:05:06,039 Speaker 3: you know, this is just what happens when you have 77 00:05:06,120 --> 00:05:10,240 Speaker 3: dense breass. And then I got the news. And when 78 00:05:10,240 --> 00:05:15,479 Speaker 3: I got it, I was shocked, but I was also like, going, okay, mom, 79 00:05:15,680 --> 00:05:17,840 Speaker 3: this is you right telling me now. You make your 80 00:05:17,839 --> 00:05:20,400 Speaker 3: own decisions. You were judgmental, but mind, let's see how 81 00:05:20,400 --> 00:05:26,520 Speaker 3: you handle this. And I remember my radiologist. I had 82 00:05:26,520 --> 00:05:29,080 Speaker 3: asked her for her help. I said, well, where do 83 00:05:29,160 --> 00:05:31,520 Speaker 3: I start? I need a good recommendation of a doctor. 84 00:05:32,080 --> 00:05:33,600 Speaker 3: And she said, the best one I know is doctor 85 00:05:33,680 --> 00:05:37,880 Speaker 3: Lisa Numan. And She's like, she's really busy, but I'm gonna, 86 00:05:38,279 --> 00:05:40,200 Speaker 3: you know, tell her about you and you call her. 87 00:05:40,640 --> 00:05:44,280 Speaker 3: And I called her, and from the very first moment 88 00:05:44,320 --> 00:05:47,080 Speaker 3: I met her, I was like wow, but I was emotional. 89 00:05:47,560 --> 00:05:53,040 Speaker 3: I went from being a little overwhelmed to then jumping 90 00:05:53,040 --> 00:05:56,039 Speaker 3: into a problem solving mode. Okay, this is a problem. 91 00:05:56,160 --> 00:05:57,560 Speaker 3: What am I going to do? What steps am I 92 00:05:57,600 --> 00:06:02,080 Speaker 3: going to take? And realizing that I wasn't going to 93 00:06:02,120 --> 00:06:05,000 Speaker 3: do this by myself, and thinking about all the people 94 00:06:05,040 --> 00:06:07,400 Speaker 3: that I needed to be here for, like my daughter, 95 00:06:08,760 --> 00:06:14,720 Speaker 3: a daughter's and wondering, okay, what do I do? I'm strong, 96 00:06:14,960 --> 00:06:20,840 Speaker 3: I can do this, but you're alone, you're sad, you're mad, 97 00:06:22,040 --> 00:06:25,320 Speaker 3: You're going why me? And then there's a why not me? 98 00:06:26,000 --> 00:06:27,480 Speaker 3: And how are we going to turn this around? That 99 00:06:27,560 --> 00:06:30,000 Speaker 3: I'm not a victim, I'm a victor, And how am 100 00:06:30,000 --> 00:06:32,240 Speaker 3: I going to use this to bless somebody else? And 101 00:06:32,360 --> 00:06:33,760 Speaker 3: that's how we started this journey. 102 00:06:34,839 --> 00:06:35,680 Speaker 2: That's beautiful. 103 00:06:35,760 --> 00:06:42,760 Speaker 1: Actually, Karen A couple of questions. So my understanding was 104 00:06:43,120 --> 00:06:50,000 Speaker 1: your mom kept her breast cancer diagnosis a secret that 105 00:06:50,600 --> 00:06:53,919 Speaker 1: when you were helping her and driving her to the 106 00:06:54,000 --> 00:06:58,960 Speaker 1: doctor's office or driving her to the hospital, she never 107 00:06:59,120 --> 00:07:02,799 Speaker 1: came out and said to you, Sharon, this is what 108 00:07:03,080 --> 00:07:03,760 Speaker 1: is going on. 109 00:07:04,360 --> 00:07:06,920 Speaker 2: Tell me about that. I left my mother. 110 00:07:09,040 --> 00:07:12,120 Speaker 3: My mother, and I think I inherited too, this kind 111 00:07:12,120 --> 00:07:14,880 Speaker 3: of strong woman persona that many of us in this 112 00:07:14,960 --> 00:07:18,640 Speaker 3: room probably also have. And we're Caribbean, and so it's 113 00:07:18,680 --> 00:07:21,320 Speaker 3: not only strong woman persona, but it's keep it to yourself. 114 00:07:22,160 --> 00:07:24,200 Speaker 3: And maybe she thought she was also protecting me, but 115 00:07:24,280 --> 00:07:26,440 Speaker 3: she said, I have a procedure and I said where, 116 00:07:26,440 --> 00:07:28,920 Speaker 3: because I'm nosy. She told me it was all the 117 00:07:28,920 --> 00:07:30,880 Speaker 3: way downtown and she was going to take two buses 118 00:07:30,920 --> 00:07:33,520 Speaker 3: and a train and I said, no way, Mom, I said, 119 00:07:33,520 --> 00:07:35,320 Speaker 3: what's the procedure? She said, do don't worry about it. 120 00:07:36,000 --> 00:07:38,960 Speaker 3: I'm okay. And so I literally drove my mother down 121 00:07:39,920 --> 00:07:42,920 Speaker 3: and she got out the car, and I started calling 122 00:07:42,920 --> 00:07:46,120 Speaker 3: all my relatives, including my relatives in the Caribbean, and 123 00:07:46,160 --> 00:07:48,200 Speaker 3: I'm like, Mommy's having a procedure and I don't know 124 00:07:48,240 --> 00:07:51,280 Speaker 3: what this is. Do you know what this is? And 125 00:07:51,320 --> 00:07:54,640 Speaker 3: finally someone said, we think your mom has breast cancer 126 00:07:54,760 --> 00:07:56,720 Speaker 3: and she's doing something about it. 127 00:07:57,640 --> 00:07:59,960 Speaker 2: And that was it. You never discussed it with her. 128 00:08:00,600 --> 00:08:04,240 Speaker 3: I went upstairs and found her in the room, and 129 00:08:04,880 --> 00:08:09,000 Speaker 3: when she was coming out and I'm like, mom, she's like, 130 00:08:09,040 --> 00:08:14,760 Speaker 3: I'm fine, what happened today? Oh, don't worry. 131 00:08:16,120 --> 00:08:20,239 Speaker 1: That's so interesting. You know, culturally, it sounds like there's 132 00:08:20,280 --> 00:08:26,280 Speaker 1: still a lot of secrecy surrounding cancer diagnosis, And when 133 00:08:26,280 --> 00:08:29,480 Speaker 1: you think about it, it's not all that's surprising, because 134 00:08:29,520 --> 00:08:33,920 Speaker 1: I think it's really within the last gosh, maybe twenty 135 00:08:33,960 --> 00:08:40,160 Speaker 1: five years, and it's hard to remember how people just 136 00:08:40,200 --> 00:08:46,120 Speaker 1: didn't discuss cancer and they were sort of embarrassed or 137 00:08:46,760 --> 00:08:52,200 Speaker 1: secretive about it. And then, as Sharon mentioned, culturally for 138 00:08:52,360 --> 00:08:58,080 Speaker 1: some black women, it's still like that. Can you describe 139 00:08:58,240 --> 00:09:01,680 Speaker 1: what you've seen among your patient population with that trend 140 00:09:02,000 --> 00:09:03,480 Speaker 1: or the women you've been studying? 141 00:09:04,040 --> 00:09:05,319 Speaker 4: Yeah? Thanksana. 142 00:09:05,360 --> 00:09:09,240 Speaker 5: First of all, your story sharing is just incredible. Thank 143 00:09:09,240 --> 00:09:11,520 Speaker 5: you for sharing it is so so very powerful. 144 00:09:11,640 --> 00:09:12,319 Speaker 4: Appreciate it. 145 00:09:12,920 --> 00:09:16,920 Speaker 5: But it is true that unfortunately, many women do feel 146 00:09:17,280 --> 00:09:21,600 Speaker 5: this stigma associated with a breast cancer diagnosis. And I 147 00:09:21,640 --> 00:09:24,720 Speaker 5: can remember in my own family similaria is a lot 148 00:09:24,760 --> 00:09:29,520 Speaker 5: of the reluctance to say the word I can call 149 00:09:29,640 --> 00:09:32,280 Speaker 5: my mom talking about the Big Sea. It was as 150 00:09:32,360 --> 00:09:35,960 Speaker 5: if saying the word was somehow going to make it 151 00:09:36,160 --> 00:09:38,720 Speaker 5: real and ignoring it was going to make the problem 152 00:09:38,760 --> 00:09:42,160 Speaker 5: going go away. And one of the organizations that I 153 00:09:42,240 --> 00:09:45,640 Speaker 5: work with quite a bit, the Sisters Network, Incorporated, which 154 00:09:45,679 --> 00:09:49,599 Speaker 5: is an African American breast cancer survivor's organization, a national organization. 155 00:09:50,160 --> 00:09:54,920 Speaker 5: Their logo is to stop the silence, specifically to counteract 156 00:09:55,080 --> 00:10:00,360 Speaker 5: that pervasive impression that you shouldn't talk about breast can answer. 157 00:10:00,800 --> 00:10:04,280 Speaker 5: We are empowering ourselves if we talk about the diagnosis 158 00:10:04,320 --> 00:10:07,360 Speaker 5: and we share with each other how to protect ourselves 159 00:10:07,400 --> 00:10:09,880 Speaker 5: against the threat of breast cancer. And we do have 160 00:10:10,360 --> 00:10:14,679 Speaker 5: so many ways that we can protect ourselves. Between screening, treatment, 161 00:10:15,040 --> 00:10:19,679 Speaker 5: survivorship medalities, we can protect ourselves against this disease. 162 00:10:19,400 --> 00:10:22,360 Speaker 1: And just talking about it is so critically important. I 163 00:10:22,400 --> 00:10:25,679 Speaker 1: remember reading in The Emperor of All Maladies. I might 164 00:10:25,679 --> 00:10:29,360 Speaker 1: have mentioned this to you before, Lisa, by Siddartha Mukherjee. 165 00:10:29,400 --> 00:10:31,360 Speaker 1: It's a great book. You want to pull a surprise. 166 00:10:31,640 --> 00:10:35,320 Speaker 1: It's about the history of cancer. It's fascinating and in 167 00:10:35,360 --> 00:10:39,000 Speaker 1: the nineteen fifties when women who had breast cancer were 168 00:10:39,040 --> 00:10:42,440 Speaker 1: looking for a support group. I think the New York 169 00:10:42,480 --> 00:10:45,480 Speaker 1: Times wouldn't allow them to put in the classifies that 170 00:10:45,559 --> 00:10:49,960 Speaker 1: they were looking for other breast cancer patients. They would 171 00:10:49,960 --> 00:10:53,920 Speaker 1: have to say looking for women who have been diagnosed 172 00:10:53,960 --> 00:10:58,120 Speaker 1: with cancer of the chest cavity, because they didn't want 173 00:10:58,160 --> 00:11:01,880 Speaker 1: to write the word breast, which is just so unbelievable. 174 00:11:01,880 --> 00:11:04,079 Speaker 1: And that was in the nineteen fifties. So we have 175 00:11:04,200 --> 00:11:08,760 Speaker 1: come a long way, but clearly not far enough when 176 00:11:08,800 --> 00:11:13,360 Speaker 1: it comes to bringing this topic out into the open. 177 00:11:13,760 --> 00:11:16,319 Speaker 1: And when I heard Sharon's story, I was like, Wow, 178 00:11:17,080 --> 00:11:21,120 Speaker 1: she actually is one of those women who has done 179 00:11:21,160 --> 00:11:25,480 Speaker 1: everything right because she knows she has dense breast. Forty 180 00:11:25,520 --> 00:11:27,920 Speaker 1: two percent of women over the age of forty have 181 00:11:28,040 --> 00:11:29,920 Speaker 1: dense breast, and we're going to talk about that some 182 00:11:30,000 --> 00:11:34,040 Speaker 1: more in a moment. But because of that, she got 183 00:11:34,360 --> 00:11:38,840 Speaker 1: a mammogram and an ultrasound, which was your usual routine 184 00:11:39,000 --> 00:11:42,520 Speaker 1: every year or every two years, or every year I guess, right. 185 00:11:42,320 --> 00:11:44,280 Speaker 3: A year, almost every six months if I could. 186 00:11:44,240 --> 00:11:47,480 Speaker 1: Really And was it because of the family history that 187 00:11:47,559 --> 00:11:49,880 Speaker 1: you got both of them or how. 188 00:11:49,720 --> 00:11:50,560 Speaker 2: Did you find out? 189 00:11:50,600 --> 00:11:52,720 Speaker 1: By the way, this is going to be very instructive 190 00:11:52,800 --> 00:11:55,559 Speaker 1: because so many women don't really know about dense breass. 191 00:11:55,720 --> 00:11:57,560 Speaker 1: How did you find out you had dense breass? 192 00:11:59,040 --> 00:12:02,960 Speaker 3: Really through my doc when we talked about it. I 193 00:12:03,040 --> 00:12:06,280 Speaker 3: had had a benign syst in my left breast and 194 00:12:06,600 --> 00:12:10,200 Speaker 3: we've been monitoring that. And again because my mother's breast 195 00:12:10,280 --> 00:12:15,600 Speaker 3: cancer atasthtsized to her brain, I was very very aggressive 196 00:12:15,640 --> 00:12:17,960 Speaker 3: about trying to make sure I had my mammograms and 197 00:12:18,040 --> 00:12:22,320 Speaker 3: ultrasounds both on the same day so that I could 198 00:12:22,320 --> 00:12:26,199 Speaker 3: constantly test, and also doing self checks. So I was 199 00:12:26,320 --> 00:12:27,640 Speaker 3: very religious about them. 200 00:12:27,840 --> 00:12:32,040 Speaker 1: That's wonderful because first of all, just so everyone knows, 201 00:12:32,160 --> 00:12:35,320 Speaker 1: and Lisa should be saying this, but I'm like the 202 00:12:35,559 --> 00:12:40,600 Speaker 1: dense breast lunatic now because I have dense breasts. And 203 00:12:41,000 --> 00:12:43,240 Speaker 1: number one, if you have dense breast, you have a 204 00:12:43,320 --> 00:12:47,680 Speaker 1: higher risk of being diagnosed with breast cancer. Number Two, 205 00:12:48,120 --> 00:12:53,920 Speaker 1: a mammogram alone can't necessarily tell if you have any 206 00:12:54,000 --> 00:12:58,000 Speaker 1: kind of abnormality. So I have all at and like 207 00:12:58,600 --> 00:13:01,240 Speaker 1: people feel their breasts and they're kind of lumpy and 208 00:13:01,320 --> 00:13:03,360 Speaker 1: big or they're whatever, and they think. 209 00:13:03,200 --> 00:13:04,199 Speaker 2: Oh, I have dense press. 210 00:13:04,280 --> 00:13:07,040 Speaker 1: You can only find out through a mammogram if you 211 00:13:07,160 --> 00:13:10,000 Speaker 1: actually have dense press and as I said, nearly half 212 00:13:10,040 --> 00:13:13,439 Speaker 1: of women over the age of forty fall into this category. 213 00:13:14,000 --> 00:13:18,400 Speaker 1: And so you really need additional screening and we're going to. 214 00:13:18,400 --> 00:13:19,200 Speaker 2: Talk about that. 215 00:13:19,840 --> 00:13:23,160 Speaker 1: Well, why don't we just talk about that now, because Lisa, 216 00:13:23,360 --> 00:13:28,360 Speaker 1: it's very upsetting to me A that so many women 217 00:13:28,440 --> 00:13:32,040 Speaker 1: don't know that. And the FDA changed their rule requiring 218 00:13:32,080 --> 00:13:35,560 Speaker 1: women to be notified that they have dense press and 219 00:13:35,640 --> 00:13:38,520 Speaker 1: it all has to be done in the same language now, right, 220 00:13:38,679 --> 00:13:41,360 Speaker 1: that was I think done in the spring of last year, 221 00:13:41,960 --> 00:13:44,400 Speaker 1: put into effect maybe in September. 222 00:13:44,440 --> 00:13:47,520 Speaker 2: Actually it became icial rules. Thank you. I've got all 223 00:13:47,559 --> 00:13:50,520 Speaker 2: these experts in audience. I should just have asked you all. 224 00:13:51,760 --> 00:13:55,880 Speaker 1: But anyway, you know, Sharon knew this already, but so 225 00:13:55,960 --> 00:13:59,080 Speaker 1: many women don't. How can we spread the word A 226 00:13:59,640 --> 00:14:01,400 Speaker 1: that you need to find out if you have dense 227 00:14:01,440 --> 00:14:07,559 Speaker 1: breasts and be about additional screening and see insurance companies 228 00:14:07,679 --> 00:14:09,840 Speaker 1: need to pay for additional screening. 229 00:14:09,960 --> 00:14:12,560 Speaker 2: It's so unfair and so wrong. 230 00:14:13,160 --> 00:14:17,560 Speaker 5: Yeah, so you stated the main issues perfectly as you 231 00:14:17,600 --> 00:14:18,400 Speaker 5: always do, Katie. 232 00:14:18,480 --> 00:14:20,200 Speaker 2: Oh, thank you, Lisa, but. 233 00:14:22,680 --> 00:14:24,560 Speaker 4: It's so true. But yeah, you're right. 234 00:14:24,800 --> 00:14:29,320 Speaker 5: The Foot and Drug Administration of enacted policies such that 235 00:14:29,520 --> 00:14:32,880 Speaker 5: all mimography units have to now report on breast density 236 00:14:32,920 --> 00:14:36,800 Speaker 5: to patients that are undergoing mamographic evaluation, and it became 237 00:14:36,960 --> 00:14:40,080 Speaker 5: official for all states just a couple of weeks ago, 238 00:14:40,120 --> 00:14:40,360 Speaker 5: So that. 239 00:14:40,360 --> 00:14:41,440 Speaker 4: Is a wonderful advance. 240 00:14:41,840 --> 00:14:44,560 Speaker 5: However, women are then left with having to sort out 241 00:14:44,880 --> 00:14:47,160 Speaker 5: what do I do next now that I've been told 242 00:14:47,200 --> 00:14:51,880 Speaker 5: that my mammogram shows breast density. I would recommend that 243 00:14:52,000 --> 00:14:55,640 Speaker 5: you speak to your radiologist, Sharon did. Speak to your 244 00:14:55,640 --> 00:14:59,920 Speaker 5: healthcare provider, because there are options in terms of addition 245 00:15:00,400 --> 00:15:03,360 Speaker 5: enhanced breast imaging, such as breast ultrasound. 246 00:15:03,640 --> 00:15:05,520 Speaker 4: Some women will need breast MRI. 247 00:15:06,200 --> 00:15:10,040 Speaker 5: There are innovative ways of performing mammograms, such as contrast 248 00:15:10,120 --> 00:15:15,120 Speaker 5: enhanced mimography, and these modalities can sometimes help improve the 249 00:15:15,160 --> 00:15:19,480 Speaker 5: ability to evaluate the mammogram. As you also correctly stated, 250 00:15:19,840 --> 00:15:23,720 Speaker 5: having that breast density not only makes a regular routine 251 00:15:23,720 --> 00:15:26,960 Speaker 5: mammogram more difficult to interpret, but it's a risk factor 252 00:15:27,160 --> 00:15:29,960 Speaker 5: indicating that you're att more likely to develop breast cancer 253 00:15:30,000 --> 00:15:33,480 Speaker 5: in the future. So speak with your healthcare provider if 254 00:15:33,480 --> 00:15:35,840 Speaker 5: you are told that you have dense breast find out 255 00:15:35,840 --> 00:15:39,000 Speaker 5: what your options are and make sure that these options 256 00:15:39,080 --> 00:15:42,160 Speaker 5: and issues are documented, because the way that they're documented 257 00:15:42,240 --> 00:15:46,400 Speaker 5: can influence whether or not your insurance plan will reimburse 258 00:15:46,440 --> 00:15:48,600 Speaker 5: will pay for the additional testing business. 259 00:15:49,240 --> 00:15:52,440 Speaker 1: I know that in some states it's required that they 260 00:15:52,480 --> 00:15:57,760 Speaker 1: pay insurance for additional screening. I interviewed somebody in Ohio 261 00:15:58,120 --> 00:16:00,600 Speaker 1: I think you were on the podcast with her actually, 262 00:16:01,040 --> 00:16:06,200 Speaker 1: who really fought to have insurance pay for additional screening 263 00:16:06,240 --> 00:16:10,160 Speaker 1: because she was diagnosed with stage four breast cancer. They 264 00:16:10,240 --> 00:16:14,640 Speaker 1: kept missing it on the mammogram. So I really admire 265 00:16:14,720 --> 00:16:17,320 Speaker 1: her and the women in other states have worked to 266 00:16:17,360 --> 00:16:18,160 Speaker 1: make this happen. 267 00:16:18,680 --> 00:16:21,600 Speaker 3: I'll also say that even though I got the mammogram 268 00:16:21,680 --> 00:16:26,800 Speaker 3: and the ultrasound, the MRI showed more. Yeah, So if 269 00:16:26,800 --> 00:16:29,600 Speaker 3: we had just left it to the mammogram and the ultrasound, 270 00:16:29,760 --> 00:16:32,840 Speaker 3: it would have only shown a very small portion. The 271 00:16:32,960 --> 00:16:34,840 Speaker 3: MRI showed that there was a lot more than they 272 00:16:34,880 --> 00:16:38,120 Speaker 3: initially thought. So that's additionally why it's important. 273 00:16:38,320 --> 00:16:40,760 Speaker 1: Yeah, but I think wouldn't a standard of care be 274 00:16:41,080 --> 00:16:46,480 Speaker 1: if someone like Sharon presented with something suspicious on both 275 00:16:46,480 --> 00:16:50,000 Speaker 1: the mammogram and the breast ultrasound, she would almost automatically 276 00:16:50,080 --> 00:16:53,840 Speaker 1: be given an MRI to kind of validate the findings. 277 00:16:53,920 --> 00:16:54,720 Speaker 2: Or am I crazy? 278 00:16:55,200 --> 00:16:58,480 Speaker 5: Now, that is often the strategy, But the decision about 279 00:16:58,640 --> 00:17:01,760 Speaker 5: MRIs in the base of a breast cancer diagnosis is 280 00:17:01,800 --> 00:17:06,679 Speaker 5: definitely a nuanced, challenging decision to make, but often it 281 00:17:06,720 --> 00:17:11,600 Speaker 5: is very, very helpful. Breast MRI is absolutely valuable in 282 00:17:11,680 --> 00:17:15,000 Speaker 5: women that have known breast cancer predisposition such as a 283 00:17:15,040 --> 00:17:20,640 Speaker 5: strong family history, a known genetic susceptibility, mutation carriers such 284 00:17:20,640 --> 00:17:24,480 Speaker 5: as a BRCA mutation, women that have had prior therapeutic 285 00:17:24,560 --> 00:17:26,000 Speaker 5: radiation to the chest wall. 286 00:17:26,359 --> 00:17:27,879 Speaker 4: These are all markers. 287 00:17:27,520 --> 00:17:30,240 Speaker 5: Of women that will benefit from MRI in addition to 288 00:17:30,280 --> 00:17:33,400 Speaker 5: MAMMOGRAHAM to early detect a new breast cancer. 289 00:17:34,200 --> 00:17:37,720 Speaker 1: You know, I know that women, white women, and black 290 00:17:37,760 --> 00:17:42,720 Speaker 1: women are diagnosed at the same rate with breast cancer, 291 00:17:42,880 --> 00:17:47,600 Speaker 1: but black women have a forty percent higher mortality rate. 292 00:17:48,080 --> 00:17:50,760 Speaker 1: I discovered this when you were treating me for my 293 00:17:50,880 --> 00:17:55,960 Speaker 1: breast cancer, and it was so disconcerting. Can you explain 294 00:17:56,720 --> 00:17:58,159 Speaker 1: why this is the case. 295 00:17:58,600 --> 00:18:02,160 Speaker 5: Yeah, well, there are a lot of reasons at which 296 00:18:02,200 --> 00:18:05,399 Speaker 5: I am happy to discuss, But first of all, I 297 00:18:05,480 --> 00:18:08,480 Speaker 5: just have to say I was so struck in getting 298 00:18:08,480 --> 00:18:10,960 Speaker 5: to know you through your treatment experience, how passionate you 299 00:18:11,040 --> 00:18:14,800 Speaker 5: became about addressing breast cancer disparities and learning about breast 300 00:18:14,840 --> 00:18:18,960 Speaker 5: cancer disparities. This woman, as she's getting ready to start 301 00:18:18,960 --> 00:18:22,000 Speaker 5: her breast cancer surgery, she's talking about how she wants 302 00:18:22,040 --> 00:18:24,600 Speaker 5: to use her experience to advocate for women so that 303 00:18:24,640 --> 00:18:28,320 Speaker 5: all women have access to the treatment options that she 304 00:18:28,480 --> 00:18:29,919 Speaker 5: was able to avail herself of. 305 00:18:31,280 --> 00:18:32,360 Speaker 4: It's still mind volve them. 306 00:18:32,320 --> 00:18:35,960 Speaker 5: To me, how gracious you are, how you think of everybody? 307 00:18:36,000 --> 00:18:38,679 Speaker 1: Were getting me to sleep, you know, making me count 308 00:18:38,760 --> 00:18:43,159 Speaker 1: for ten backwards, and I was like, you guys, it's terrible. 309 00:18:46,119 --> 00:18:47,160 Speaker 2: So many women. 310 00:18:47,560 --> 00:18:50,600 Speaker 1: Well, you know, I felt so lucky that I had 311 00:18:51,000 --> 00:18:55,280 Speaker 1: the good fortune and honestly the financial wherewithal an insurance 312 00:18:55,359 --> 00:19:00,359 Speaker 1: coverage to get the very best treatment available. And I 313 00:19:00,400 --> 00:19:04,800 Speaker 1: couldn't stop thinking what would I have done if I 314 00:19:04,840 --> 00:19:08,840 Speaker 1: had had to wait to get my lump back to me, 315 00:19:09,200 --> 00:19:11,840 Speaker 1: if I had to wait to get my mammogram, if 316 00:19:11,880 --> 00:19:16,399 Speaker 1: my doctor didn't automatically give me a breast ultrasound every 317 00:19:16,440 --> 00:19:20,000 Speaker 1: time I was checked. And you know, your health should 318 00:19:20,040 --> 00:19:23,840 Speaker 1: not be determined by your zip code or your bank account, 319 00:19:24,080 --> 00:19:27,720 Speaker 1: and it so often is. And that's why I am 320 00:19:27,800 --> 00:19:31,639 Speaker 1: so passionate about not only giving the people the information 321 00:19:31,800 --> 00:19:36,520 Speaker 1: they need, but supporting them because it's just unfair that 322 00:19:37,200 --> 00:19:40,360 Speaker 1: a person of means is a survivor and a person 323 00:19:40,400 --> 00:19:45,879 Speaker 1: who doesn't have means is often not. And it's just 324 00:19:46,080 --> 00:19:51,719 Speaker 1: the inequities are maddening to me. Well, and I'm going 325 00:19:51,760 --> 00:19:54,520 Speaker 1: to talk about your research in a second, but let's 326 00:19:54,560 --> 00:19:58,560 Speaker 1: talk about the reasons that Black women have a forty 327 00:19:58,600 --> 00:20:02,600 Speaker 1: percent higher mortality. Some of it has to do with 328 00:20:02,960 --> 00:20:05,800 Speaker 1: their breast density, right, and some of it has to 329 00:20:05,800 --> 00:20:06,680 Speaker 1: do with access. 330 00:20:07,000 --> 00:20:08,639 Speaker 2: Can you just talk about that, Lisa. 331 00:20:09,040 --> 00:20:13,959 Speaker 5: There are many complex reasons explaining these breast cancer disparities 332 00:20:14,000 --> 00:20:17,480 Speaker 5: that you described, and indeed, breast cancer mortality rates death 333 00:20:17,560 --> 00:20:21,080 Speaker 5: rates are forty percent higher in African American women compared 334 00:20:21,080 --> 00:20:24,680 Speaker 5: to White American women. Now, the incidents rates actually used 335 00:20:24,680 --> 00:20:27,840 Speaker 5: to be lower for breast cancer and Black women compared 336 00:20:27,840 --> 00:20:31,080 Speaker 5: to white women, but there's been a disproportion so interesting incidence, 337 00:20:31,359 --> 00:20:34,320 Speaker 5: so that now the rates are equal. But we've had 338 00:20:34,320 --> 00:20:37,560 Speaker 5: this widening of the mortality gap, and it's because of 339 00:20:37,600 --> 00:20:42,240 Speaker 5: a lot of different factors. The disproportionately high prevalence of 340 00:20:42,320 --> 00:20:47,840 Speaker 5: socioeconomic disadvantages in the African American community, higher poverty rates, 341 00:20:49,000 --> 00:20:53,239 Speaker 5: higher rates of being uninsured or under insured, all of 342 00:20:53,240 --> 00:20:57,359 Speaker 5: these factors definitely contribute to delays and breast cancer diagnosis, 343 00:20:57,720 --> 00:21:01,520 Speaker 5: delays in completing treatment, and this will result in higher 344 00:21:01,560 --> 00:21:02,720 Speaker 5: mortality rates. 345 00:21:02,440 --> 00:21:06,920 Speaker 1: So poverty, but it's also these social determinants of going on. 346 00:21:07,000 --> 00:21:12,760 Speaker 5: Yes, yeah, so we still unfortunately continue to see discriminatory 347 00:21:12,880 --> 00:21:16,600 Speaker 5: patterns in the healthcare system. African American women are less 348 00:21:16,680 --> 00:21:20,480 Speaker 5: likely to be offered genetic testing, African American women are 349 00:21:20,600 --> 00:21:24,760 Speaker 5: less likely to have mimmography in the highest quality centers, 350 00:21:25,080 --> 00:21:27,760 Speaker 5: and African American women are less likely to be offered 351 00:21:27,800 --> 00:21:31,040 Speaker 5: cutting edge breast cancer treatments, such as in the setting 352 00:21:31,119 --> 00:21:35,320 Speaker 5: of clinical trials and clinical research. So we definitely have 353 00:21:35,359 --> 00:21:38,359 Speaker 5: to address all of those inequities in the healthcare system, 354 00:21:38,560 --> 00:21:41,520 Speaker 5: number one, if we're going to achieve. 355 00:21:41,240 --> 00:21:42,400 Speaker 4: Breast health equity. 356 00:21:43,240 --> 00:21:46,760 Speaker 5: But there are other factors, and there are several characteristics 357 00:21:46,760 --> 00:21:50,119 Speaker 5: that describe the breast cancer burden of the African American community, 358 00:21:50,400 --> 00:21:53,360 Speaker 5: indicating that there are tumor biology factors that we need 359 00:21:53,400 --> 00:21:57,720 Speaker 5: to understand through research. African American women are more likely 360 00:21:57,800 --> 00:22:01,040 Speaker 5: to be diagnosed with breast cancer at younger ages. We 361 00:22:01,119 --> 00:22:05,040 Speaker 5: are more likely to have biologically aggressive tumors called triple 362 00:22:05,080 --> 00:22:08,840 Speaker 5: negative breast cancers and male breast cancer is actually more 363 00:22:08,880 --> 00:22:12,640 Speaker 5: common in the African American community. So my own research 364 00:22:12,680 --> 00:22:16,399 Speaker 5: actually looks at studying the breast cancer burden of women 365 00:22:16,720 --> 00:22:20,080 Speaker 5: in different regions of the continent of Africa, and we've 366 00:22:20,160 --> 00:22:23,920 Speaker 5: learned that women from West Africa, which is the homeland 367 00:22:23,960 --> 00:22:28,040 Speaker 5: for the ancestors of most African Americans, the triple negative 368 00:22:28,040 --> 00:22:31,400 Speaker 5: breast cancers are most common in that part of the continent, 369 00:22:31,720 --> 00:22:36,520 Speaker 5: and it's because of specific genetic variants that developed in 370 00:22:36,560 --> 00:22:40,920 Speaker 5: the ancestors of West Africans related to having to develop 371 00:22:40,960 --> 00:22:42,840 Speaker 5: resistance to infectious. 372 00:22:42,280 --> 00:22:43,679 Speaker 4: Diseases like malaria. 373 00:22:44,119 --> 00:22:48,880 Speaker 5: But these variants have downstream consequences on the breast tissue 374 00:22:49,000 --> 00:22:52,560 Speaker 5: immune landscape such that it predisposes to the breast to 375 00:22:52,640 --> 00:22:56,879 Speaker 5: developing these triple negative breast cancers. So these international research 376 00:22:56,920 --> 00:22:59,920 Speaker 5: programs will actually teach us about the genetic root cause 377 00:23:00,520 --> 00:23:04,359 Speaker 5: of aggressive tumors like triple negative breast cancer, and it'll 378 00:23:04,359 --> 00:23:07,200 Speaker 5: teach us how to prevent and treat these tumors better. 379 00:23:07,720 --> 00:23:11,199 Speaker 1: The research you're doing is so interesting, So are you 380 00:23:11,320 --> 00:23:16,920 Speaker 1: taking different populations globally and looking at sort of there 381 00:23:17,240 --> 00:23:21,160 Speaker 1: or are you focus mostly on the continent of Africa. 382 00:23:21,240 --> 00:23:25,880 Speaker 5: We are definitely expanding more globally. We have several partners 383 00:23:25,960 --> 00:23:28,840 Speaker 5: now in different regions of Africa, because Africa is a 384 00:23:28,920 --> 00:23:34,240 Speaker 5: huge continent, tremendous diversity in terms of lifestyle, culture and genetics, 385 00:23:34,280 --> 00:23:38,280 Speaker 5: because it's the founder homeland for all of human kind. 386 00:23:38,640 --> 00:23:42,359 Speaker 5: Of course, so we do study breast cancer in East Africa, 387 00:23:42,400 --> 00:23:45,560 Speaker 5: West Africa, Central Africa, but we are also expanding to 388 00:23:45,600 --> 00:23:49,119 Speaker 5: study the breast cancer burden in Mexico and in South America. 389 00:23:50,040 --> 00:23:54,840 Speaker 5: These genetics of ancestry definitely play a role in susceptibility 390 00:23:54,880 --> 00:23:57,679 Speaker 5: for different patterns of the disease, and we have to 391 00:23:57,760 --> 00:24:01,720 Speaker 5: look at all of these internationally dis patient populations to 392 00:24:01,840 --> 00:24:05,520 Speaker 5: truly understand the root causes of cancer comprehensibly. 393 00:24:05,960 --> 00:24:08,840 Speaker 2: So basically, all breasts are not created equal. 394 00:24:09,520 --> 00:24:10,280 Speaker 4: I mean very true. 395 00:24:10,400 --> 00:24:12,240 Speaker 2: It's true, and I'm talking at. 396 00:24:12,160 --> 00:24:28,320 Speaker 1: A cellular level right and at a genetic level. At 397 00:24:28,320 --> 00:24:31,600 Speaker 1: Easy Spirit, they know comfort isn't just about footwear. It's 398 00:24:31,640 --> 00:24:35,120 Speaker 1: about empowering women to take action in their lives. That's 399 00:24:35,160 --> 00:24:38,560 Speaker 1: why this Breast Cancer Awareness Month, I'm proud to support 400 00:24:38,600 --> 00:24:42,119 Speaker 1: their Move for Pink initiative, helping to drive real change 401 00:24:42,160 --> 00:24:43,400 Speaker 1: for women everywhere. 402 00:24:43,920 --> 00:24:45,200 Speaker 4: For the third year in a row. 403 00:24:45,359 --> 00:24:48,720 Speaker 1: Easy Spirit has been giving back, donating a portion of 404 00:24:48,760 --> 00:24:52,760 Speaker 1: proceeds from their limited edition sneakers to support doctor Lisa 405 00:24:52,840 --> 00:24:57,480 Speaker 1: Newman's groundbreaking breast cancer research. I know firsthand how important 406 00:24:57,480 --> 00:25:00,159 Speaker 1: this work is. I've actually had my own journey with 407 00:25:00,200 --> 00:25:04,480 Speaker 1: breast cancer, and doctor Newman was my doctor. Easy Spirit 408 00:25:04,600 --> 00:25:07,520 Speaker 1: being a part of this important conversation helps shine a 409 00:25:07,600 --> 00:25:11,159 Speaker 1: light on how women can mobilize to drive change and 410 00:25:11,359 --> 00:25:14,879 Speaker 1: ultimately find a cure. I move for my health, for 411 00:25:15,000 --> 00:25:17,400 Speaker 1: my family, and for all the women out there who 412 00:25:17,440 --> 00:25:21,160 Speaker 1: are fighting their own battles. Walking, running, even a quick stroll. 413 00:25:21,400 --> 00:25:25,320 Speaker 1: It's how I stay motivated, stay strong, and stay connected 414 00:25:25,359 --> 00:25:28,560 Speaker 1: to what matters. Easy Spirit makes it easy for me 415 00:25:28,640 --> 00:25:31,640 Speaker 1: to keep moving with sizes and styles for every woman. 416 00:25:31,720 --> 00:25:35,199 Speaker 1: They're truly designed for the way we live. Easy Spirit 417 00:25:35,320 --> 00:25:39,440 Speaker 1: is the original comfort footwear brand, proudly designing women's footwear 418 00:25:39,480 --> 00:25:42,240 Speaker 1: that's comfortable, right out of the box and made to 419 00:25:42,359 --> 00:25:46,520 Speaker 1: keep you moving. Easy Spirit understands every woman has her 420 00:25:46,560 --> 00:25:50,400 Speaker 1: own unique needs, her own unique footprint. That's why they 421 00:25:50,440 --> 00:25:55,080 Speaker 1: offer solutions like extended sizes and wits, orthoughtic friendly silhouettes, 422 00:25:55,359 --> 00:25:58,400 Speaker 1: arch support, and much more like their Move for Pink 423 00:25:58,440 --> 00:26:02,720 Speaker 1: initiative Cancer Awareness Month. When you step into comfort with 424 00:26:02,800 --> 00:26:05,719 Speaker 1: easy spirit, you're taking a step in the right direction 425 00:26:06,119 --> 00:26:19,480 Speaker 1: for breast cancer research too. Another thing, I was curious 426 00:26:19,560 --> 00:26:22,680 Speaker 1: if some of the social determinants of health, you know, 427 00:26:22,960 --> 00:26:26,440 Speaker 1: like higher smoking rates or obesity rates, or the fact 428 00:26:26,520 --> 00:26:29,400 Speaker 1: that there are so many food deserts and the intersection 429 00:26:30,040 --> 00:26:34,680 Speaker 1: sadly of poverty and race, if that is also contributing 430 00:26:34,800 --> 00:26:42,119 Speaker 1: to not only access to healthcare and to preventative screening, 431 00:26:42,560 --> 00:26:47,920 Speaker 1: but also is that having an impact on the specific 432 00:26:48,119 --> 00:26:50,120 Speaker 1: cellular activity in breasts. 433 00:26:51,080 --> 00:26:51,920 Speaker 2: Does that make sense? 434 00:26:52,040 --> 00:26:55,520 Speaker 5: Oh, you stated it perfectly. It is so true. That's 435 00:26:55,560 --> 00:26:59,800 Speaker 5: absolutely correct. Environment definitely plays a role in breast cancer. 436 00:27:00,240 --> 00:27:03,800 Speaker 5: And there is a very large, exciting, growing body of 437 00:27:03,840 --> 00:27:08,360 Speaker 5: research looking at how certain neighborhood characteristics related to poverty 438 00:27:08,480 --> 00:27:13,239 Speaker 5: related to nutritional insecurity and food deserts. These characteristics are 439 00:27:13,280 --> 00:27:16,360 Speaker 5: not only associated with obesity rates, which is another risk 440 00:27:16,400 --> 00:27:21,400 Speaker 5: factor for getting breast cancer, but these neighborhood characteristics are 441 00:27:21,440 --> 00:27:25,880 Speaker 5: also inherently related to likelihood of developing certain breast cancer patterns. 442 00:27:26,280 --> 00:27:29,919 Speaker 1: And also another problem I know is getting women of 443 00:27:29,960 --> 00:27:33,440 Speaker 1: color in clinical trials, right, I mean, it's hard enough 444 00:27:33,480 --> 00:27:37,960 Speaker 1: to get anyone in clinical trials, but particularly challenging for 445 00:27:38,320 --> 00:27:45,359 Speaker 1: the black community to participate. Why has that been so challenging, Lisa. 446 00:27:46,280 --> 00:27:51,000 Speaker 5: Again, Katie, for so many complex reasons. They're destinately the 447 00:27:51,040 --> 00:27:53,080 Speaker 5: medical communityificant distrust. 448 00:27:53,240 --> 00:27:55,440 Speaker 4: Yes, and for appropriate reasons. 449 00:27:55,440 --> 00:27:59,280 Speaker 5: In the past, there have been horrific abuses in clinical 450 00:27:59,400 --> 00:28:06,040 Speaker 5: research tex Tuskegee, the Tuskegee experience, and so rightfully, many individuals, 451 00:28:06,119 --> 00:28:10,280 Speaker 5: especially from communities of color, are suspicious of clinical research. 452 00:28:10,840 --> 00:28:16,439 Speaker 5: But we can absolve the medical professional community from responsibility either. 453 00:28:16,800 --> 00:28:20,159 Speaker 5: There are actually many studies showing that one of the 454 00:28:20,200 --> 00:28:25,600 Speaker 5: biggest barriers to an African American cancer patient participating in 455 00:28:25,640 --> 00:28:31,359 Speaker 5: the clinical trial is the absence of the physician offering 456 00:28:31,480 --> 00:28:35,480 Speaker 5: a clinical trial to that patient. Some physicians just don't 457 00:28:35,520 --> 00:28:38,320 Speaker 5: want to take the time to explain the clinical trial. 458 00:28:38,840 --> 00:28:42,080 Speaker 5: Some physicians are fearful that bringing up a clinical trial 459 00:28:42,120 --> 00:28:46,320 Speaker 5: will somehow alienate the patient and generate more is distrust. 460 00:28:46,680 --> 00:28:47,720 Speaker 4: But we have to get over that. 461 00:28:48,160 --> 00:28:51,600 Speaker 5: Clinical trials are part of standard of care and we 462 00:28:51,720 --> 00:28:53,760 Speaker 5: have to offer them to everybody. 463 00:28:54,160 --> 00:28:56,760 Speaker 1: The other thing I know that you care deeply about 464 00:28:57,040 --> 00:29:01,920 Speaker 1: is to have more black doctors, because I think people 465 00:29:02,080 --> 00:29:08,640 Speaker 1: feel often more comfortable when their doctor has a similar 466 00:29:08,680 --> 00:29:12,479 Speaker 1: experience than they do, and that is actually increasing, but 467 00:29:12,680 --> 00:29:14,640 Speaker 1: not at a fast enough rate, is it. 468 00:29:14,840 --> 00:29:16,320 Speaker 4: Yeah, that is so true. 469 00:29:16,800 --> 00:29:20,680 Speaker 5: Just as we need better gender balances in the healthcare 470 00:29:20,880 --> 00:29:26,040 Speaker 5: professional community, we also need more diversity in the healthcare workforce. 471 00:29:26,440 --> 00:29:28,840 Speaker 4: And I do think that it's true that many. 472 00:29:28,800 --> 00:29:32,240 Speaker 5: Patients want to have a match in terms of not 473 00:29:32,320 --> 00:29:34,800 Speaker 5: only the gender, but often the race, ethnicity of their 474 00:29:34,840 --> 00:29:38,280 Speaker 5: position to their own experiences and identity. 475 00:29:38,800 --> 00:29:41,240 Speaker 4: But the patient population. 476 00:29:40,880 --> 00:29:43,760 Speaker 5: Overall, I think will have greater trust in the healthcare 477 00:29:43,800 --> 00:29:46,720 Speaker 5: system if they see a healthcare system that reflects their 478 00:29:46,800 --> 00:29:48,720 Speaker 5: neighborhoods and their communities. 479 00:29:49,080 --> 00:29:51,720 Speaker 1: Sharon, is that one of the reasons that going to 480 00:29:51,840 --> 00:29:55,320 Speaker 1: doctor Newman appealed to you? Did you feel more of 481 00:29:55,360 --> 00:29:58,880 Speaker 1: a connection with a woman of color as your surgeon? 482 00:30:00,360 --> 00:30:03,600 Speaker 1: She's okay, no, I'm curious. 483 00:30:03,800 --> 00:30:06,400 Speaker 2: I mean, did that enter into it at all? 484 00:30:08,520 --> 00:30:11,240 Speaker 3: Yes? But more importantly what entered into and she didn't know, 485 00:30:11,360 --> 00:30:15,520 Speaker 3: was that I did research on her. I went online, 486 00:30:15,760 --> 00:30:18,600 Speaker 3: and when I saw that her study what she was doing, 487 00:30:19,160 --> 00:30:22,160 Speaker 3: I thought, wow, not only is she a woman of color, 488 00:30:22,680 --> 00:30:25,560 Speaker 3: but also, you know, let's be honest, she is the 489 00:30:25,640 --> 00:30:29,800 Speaker 3: lead person in her field at her hospital, so her 490 00:30:29,840 --> 00:30:32,600 Speaker 3: expertise was important to me. The fact that she was 491 00:30:32,600 --> 00:30:35,240 Speaker 3: doing research around this was important to me. But that 492 00:30:35,280 --> 00:30:38,360 Speaker 3: wasn't enough for me. So I went to some other 493 00:30:38,440 --> 00:30:44,040 Speaker 3: doctors at other hospitals. And then, funny enough, gender is 494 00:30:44,040 --> 00:30:46,320 Speaker 3: important because when I went to the male doctor at 495 00:30:46,320 --> 00:30:49,360 Speaker 3: a very nice hospital, instead of telling me I had 496 00:30:49,400 --> 00:30:51,360 Speaker 3: dense bruss, he kept telling you, I had complex br us. 497 00:30:51,440 --> 00:30:53,440 Speaker 3: And a woman doesn't want to know she has complex 498 00:30:53,480 --> 00:30:54,520 Speaker 3: for us. 499 00:30:54,560 --> 00:30:59,080 Speaker 1: Okay, I don't know, nice and a little nicer than 500 00:30:59,280 --> 00:31:02,920 Speaker 1: I was as a woman who gets called complicated. 501 00:31:03,000 --> 00:31:05,920 Speaker 3: I was like, okay, now my breast complicated too, So 502 00:31:06,080 --> 00:31:09,080 Speaker 3: I was kind of taking that issue. But he didn't 503 00:31:09,120 --> 00:31:12,600 Speaker 3: handle me with the same care that doctor Newman handled me. 504 00:31:13,200 --> 00:31:15,680 Speaker 3: And then what was interesting was that he also was 505 00:31:15,720 --> 00:31:19,000 Speaker 3: specializing in the same type of research, but for Jewish women, 506 00:31:19,600 --> 00:31:23,720 Speaker 3: and I thought, wow, that's amazing, and I really appreciated 507 00:31:23,760 --> 00:31:25,840 Speaker 3: that he was doing that. But I was like, well, 508 00:31:25,880 --> 00:31:28,880 Speaker 3: he's specializing in Jewish women, and I've just talked to 509 00:31:28,880 --> 00:31:31,840 Speaker 3: a woman who's a woman who's handling me with a 510 00:31:31,840 --> 00:31:36,120 Speaker 3: lot of care and compassion. She has the expertise, and 511 00:31:36,200 --> 00:31:39,600 Speaker 3: more importantly, she is doing research about women like myself. 512 00:31:40,160 --> 00:31:44,440 Speaker 4: So where do I go? It seems easy enough, and 513 00:31:44,480 --> 00:31:45,120 Speaker 4: I already. 514 00:31:44,920 --> 00:31:46,680 Speaker 3: Knew I was going to her, but I just wanted 515 00:31:46,720 --> 00:31:51,160 Speaker 3: a second opinion. And then her peers in the industry 516 00:31:51,240 --> 00:31:54,200 Speaker 3: kept telling me she was amazing, so she didn't even 517 00:31:54,240 --> 00:31:56,920 Speaker 3: have to tell me she was amazing. Her peers in 518 00:31:56,960 --> 00:31:59,160 Speaker 3: the industry at the other hospitals were like, well, if 519 00:31:59,160 --> 00:32:00,400 Speaker 3: you're not going to go with us, she is one 520 00:32:00,440 --> 00:32:02,280 Speaker 3: of the best in the industry. 521 00:32:02,400 --> 00:32:06,480 Speaker 1: So I'm curious, Lisa, and why you decided. I mean, 522 00:32:06,560 --> 00:32:08,960 Speaker 1: first of all, you're a brilliant person. You could study 523 00:32:09,160 --> 00:32:13,120 Speaker 1: whatever you wanted. I'm sure, why did you decide to 524 00:32:13,920 --> 00:32:19,960 Speaker 1: really investigate the disparities in white women and women of 525 00:32:20,000 --> 00:32:21,800 Speaker 1: color when it came to breast cancer. 526 00:32:21,920 --> 00:32:22,720 Speaker 2: What was it? 527 00:32:23,280 --> 00:32:26,400 Speaker 1: Did you have an aha moment? Did you treat somebody, 528 00:32:26,520 --> 00:32:29,720 Speaker 1: did you read the statistics? What made you think I 529 00:32:29,880 --> 00:32:31,640 Speaker 1: need to dig deeper into this. 530 00:32:32,880 --> 00:32:35,480 Speaker 5: It was actually a little bit of everything you just described. 531 00:32:35,480 --> 00:32:37,600 Speaker 5: But before I get into that, I just want to 532 00:32:37,600 --> 00:32:40,040 Speaker 5: thank both of you for your comments, and I also 533 00:32:40,120 --> 00:32:42,600 Speaker 5: want to specifically give a shout out to Sharon for 534 00:32:42,640 --> 00:32:44,680 Speaker 5: the way she kept it so real with me. She 535 00:32:44,800 --> 00:32:47,600 Speaker 5: did her homework and investigated other centers and then she 536 00:32:47,720 --> 00:32:49,960 Speaker 5: came back and told me what she liked about my 537 00:32:50,080 --> 00:32:52,840 Speaker 5: program and what she didn't like about my program. 538 00:32:53,920 --> 00:32:56,280 Speaker 4: She was very honest about things that we needed to 539 00:32:56,960 --> 00:32:57,320 Speaker 4: work on. 540 00:32:57,720 --> 00:32:59,160 Speaker 5: Well, I'm not even going to say what they were, 541 00:32:59,200 --> 00:33:02,160 Speaker 5: because I've correct to everything that she told me about it. 542 00:33:04,640 --> 00:33:08,480 Speaker 5: But for me, it was a long journey to coming 543 00:33:08,560 --> 00:33:12,120 Speaker 5: to where my career is today and back. I won't 544 00:33:12,120 --> 00:33:13,840 Speaker 5: say how long ago, but it was more than twenty 545 00:33:13,960 --> 00:33:16,680 Speaker 5: years ago. When I was first starting on my career, 546 00:33:16,800 --> 00:33:19,400 Speaker 5: I was a general surgeon taking care of a lot 547 00:33:19,440 --> 00:33:24,160 Speaker 5: of different types of surgical problems, and back then we 548 00:33:24,280 --> 00:33:27,719 Speaker 5: didn't have an appreciation for the types of race related 549 00:33:27,760 --> 00:33:31,680 Speaker 5: differences in breast cancer burden that you described today, and 550 00:33:31,720 --> 00:33:35,239 Speaker 5: those are very well documented today, but that back then 551 00:33:35,280 --> 00:33:38,360 Speaker 5: we didn't understand them very well. We didn't understand the 552 00:33:38,360 --> 00:33:40,920 Speaker 5: fact that breast cancer is actually comprised of a whole 553 00:33:41,000 --> 00:33:45,240 Speaker 5: spectrum of different subtypes, and we just didn't understand why 554 00:33:45,280 --> 00:33:49,280 Speaker 5: some breast cancers were more poorly controlled than others. And 555 00:33:49,480 --> 00:33:52,840 Speaker 5: my general surgery practice was based in Brooklyn, New York, where, 556 00:33:52,880 --> 00:33:56,880 Speaker 5: of course we have a beautiful and robustly diverse patient population, 557 00:33:57,560 --> 00:34:02,240 Speaker 5: and every day I was struck in my own practice 558 00:34:02,400 --> 00:34:05,480 Speaker 5: by how my black breast cancer patients were being diagnosed 559 00:34:05,480 --> 00:34:09,480 Speaker 5: at younger ages. They were often diagnosed with bulkier tumors, 560 00:34:09,920 --> 00:34:13,200 Speaker 5: and they were developing recurrences of their breast cancer more frequently. 561 00:34:14,040 --> 00:34:16,960 Speaker 5: And so I decided to pursue additional training and research 562 00:34:17,280 --> 00:34:21,520 Speaker 5: so that I could have a dedicated career studying breast 563 00:34:21,520 --> 00:34:26,839 Speaker 5: cancer and dedicated to surgical management of the disease. So 564 00:34:26,920 --> 00:34:31,960 Speaker 5: that twenty year journey twenty plus your journey actually has 565 00:34:32,000 --> 00:34:34,960 Speaker 5: evolved into this international breast cancer research and a lot 566 00:34:35,000 --> 00:34:37,120 Speaker 5: of research looking at the genetics of the disease. 567 00:34:37,880 --> 00:34:41,320 Speaker 1: I know that it's true in the case of calling cancer, 568 00:34:41,480 --> 00:34:45,480 Speaker 1: that younger and younger people are being diagnosed, which is 569 00:34:45,600 --> 00:34:50,680 Speaker 1: really upsetting people in their twenties and thirties and forties. 570 00:34:51,040 --> 00:34:53,440 Speaker 1: You know, you have to get a screening, colonoscopy or 571 00:34:53,600 --> 00:34:58,400 Speaker 1: some kind of calling screening at age forty five because 572 00:34:58,400 --> 00:35:02,200 Speaker 1: of these numbers, they lowered the age for your first screening. 573 00:35:03,040 --> 00:35:07,120 Speaker 1: And I'm curious if this is true for breast cancer, 574 00:35:08,280 --> 00:35:12,800 Speaker 1: and if you have any idea why younger and younger 575 00:35:12,800 --> 00:35:16,560 Speaker 1: people seem to be getting diagnosed with these diseases. 576 00:35:17,200 --> 00:35:19,280 Speaker 4: Well, you are again correct. 577 00:35:19,680 --> 00:35:22,880 Speaker 5: We are seeing a similar pattern in breast cancer as 578 00:35:22,920 --> 00:35:26,520 Speaker 5: what you described in colon cancer, with higher and increasing 579 00:35:27,000 --> 00:35:30,720 Speaker 5: population based incidence rates of breast cancer in younger women, 580 00:35:31,120 --> 00:35:34,040 Speaker 5: women that are still in the pre menopausal age ranges. 581 00:35:34,400 --> 00:35:39,200 Speaker 5: We don't completely understand the explanations, but we are assuming 582 00:35:39,280 --> 00:35:42,200 Speaker 5: at this point in time that it's related to a 583 00:35:42,239 --> 00:35:49,120 Speaker 5: constellation of factors. Diet, lifestyle, environmental exposures, obesity rates are 584 00:35:49,200 --> 00:35:52,040 Speaker 5: unfortunately on the rise in the United States, and all 585 00:35:52,080 --> 00:35:55,400 Speaker 5: of these factors, in addition to our genetics, we'll be 586 00:35:55,440 --> 00:35:56,239 Speaker 5: playing a role in. 587 00:35:56,360 --> 00:35:59,520 Speaker 1: I wonder when you say environmental factors, I feel like it. 588 00:36:00,280 --> 00:36:02,640 Speaker 1: You know, it's frustrating to me because we've seen these 589 00:36:02,719 --> 00:36:05,360 Speaker 1: numbers for a few years now, and I've talked to 590 00:36:05,440 --> 00:36:08,280 Speaker 1: a lot of scientists because of stand Up to Cancer 591 00:36:08,400 --> 00:36:14,200 Speaker 1: and my own cancer activism, and some say it might 592 00:36:14,280 --> 00:36:21,000 Speaker 1: be the over prescription of antibiotics. Other people say maybe 593 00:36:21,040 --> 00:36:27,720 Speaker 1: process foods. We're hearing a lot about alcohol consumption and cancer. 594 00:36:27,760 --> 00:36:30,359 Speaker 1: I think a big study just came out about that 595 00:36:30,480 --> 00:36:33,719 Speaker 1: and how closely linked they are. When do you think 596 00:36:33,760 --> 00:36:37,000 Speaker 1: we're going to And I wonder about pesticides, and I 597 00:36:37,040 --> 00:36:40,800 Speaker 1: wonder about these forever chemicals. What are they called p fasts? 598 00:36:40,880 --> 00:36:45,520 Speaker 1: Is that what they're called? Anybody, come on audience, P 599 00:36:45,719 --> 00:36:50,800 Speaker 1: fast right, pfas I guess, And everything from leggings to 600 00:36:51,440 --> 00:36:56,759 Speaker 1: you know, rubber mats and all kinds of household products. 601 00:36:57,160 --> 00:36:58,600 Speaker 2: When do you think, I know, it's. 602 00:36:58,480 --> 00:37:02,040 Speaker 1: Really hard at semiologists struggle with this, But when do 603 00:37:02,080 --> 00:37:05,440 Speaker 1: you think we'll have a better idea about why this 604 00:37:05,520 --> 00:37:08,960 Speaker 1: is happening because it has such a huge impact on 605 00:37:09,120 --> 00:37:14,319 Speaker 1: screening recommendations and overall awareness for a younger population. 606 00:37:15,040 --> 00:37:20,839 Speaker 5: Yeah, these are incredibly difficult questions to address, and yes, 607 00:37:21,000 --> 00:37:25,160 Speaker 5: epidemiologists are continuing to struggle with them. It is correct 608 00:37:25,239 --> 00:37:29,680 Speaker 5: that excessive and increasing rates of alcohol consumption on a 609 00:37:29,719 --> 00:37:35,200 Speaker 5: daily basis will increase breast cancer risk. Obesity increases breast 610 00:37:35,200 --> 00:37:39,120 Speaker 5: cancer risk. Leading a sedentary lifestyle with the lack of 611 00:37:39,160 --> 00:37:42,920 Speaker 5: adequate exercise on a daily basis, All of those patterns 612 00:37:42,920 --> 00:37:45,759 Speaker 5: will increase breast cancer risk. The things that do not 613 00:37:46,120 --> 00:37:49,680 Speaker 5: seem to affect breast cancer risk would be wearing a 614 00:37:49,680 --> 00:37:52,840 Speaker 5: brazier or not wearing a brazier, or different types of 615 00:37:53,040 --> 00:37:53,759 Speaker 5: brazil If. 616 00:37:53,719 --> 00:37:55,640 Speaker 2: People think that really has an impact. 617 00:37:56,040 --> 00:37:59,239 Speaker 5: It seems to cycle like every couple of years. There 618 00:37:59,239 --> 00:38:03,200 Speaker 5: are these yet on the internet about risk of braziers 619 00:38:03,239 --> 00:38:06,040 Speaker 5: and breast cancer risk, but yet non association. 620 00:38:06,280 --> 00:38:07,800 Speaker 2: Yeah, but sometimes when. 621 00:38:07,680 --> 00:38:10,120 Speaker 1: I used to take walks, I would stick my iPhone 622 00:38:10,160 --> 00:38:13,160 Speaker 1: and my bra and then I kind of wondered, Oh, 623 00:38:13,200 --> 00:38:16,640 Speaker 1: I wondered if that actually had an impact on my 624 00:38:16,760 --> 00:38:17,480 Speaker 1: breast cancer. 625 00:38:17,880 --> 00:38:18,640 Speaker 2: Do you think it did? 626 00:38:19,440 --> 00:38:20,000 Speaker 4: I don't think so. 627 00:38:20,719 --> 00:38:22,880 Speaker 3: I do not think so. But I asked you about 628 00:38:22,880 --> 00:38:25,480 Speaker 3: the diet. Ho I think I asked you about my dietoke. 629 00:38:26,040 --> 00:38:27,880 Speaker 3: I was like, drinking twenty years of di coke? Did 630 00:38:27,880 --> 00:38:29,000 Speaker 3: that lead to my breast cancer? 631 00:38:29,320 --> 00:38:29,919 Speaker 2: But you never? 632 00:38:30,320 --> 00:38:33,160 Speaker 1: I mean, I think what's what the problem is. There's 633 00:38:33,400 --> 00:38:37,040 Speaker 1: you know, people fill in the lack of knowledge with 634 00:38:37,040 --> 00:38:42,600 Speaker 1: with uh, you know, ideas and speculation, and I think 635 00:38:42,800 --> 00:38:44,719 Speaker 1: we really need to focus on that. 636 00:38:45,280 --> 00:38:46,680 Speaker 2: Are people studying this. 637 00:38:47,360 --> 00:38:51,960 Speaker 5: They are very aggressively, but it's so difficult to get 638 00:38:52,040 --> 00:38:56,239 Speaker 5: a consistent and definitive handle on the answers because so 639 00:38:56,320 --> 00:39:00,799 Speaker 5: many of these factors are poorly recalled by individuals. They're 640 00:39:00,840 --> 00:39:06,160 Speaker 5: poorly documented, so it's difficult to accurately assess the quantity 641 00:39:06,239 --> 00:39:14,839 Speaker 5: of different dietary components, the exposures to different pesticides, right, 642 00:39:14,960 --> 00:39:16,160 Speaker 5: things that are in the environment. 643 00:39:16,200 --> 00:39:19,640 Speaker 1: You believe in breast cancer clusters, you know, where you 644 00:39:19,760 --> 00:39:22,520 Speaker 1: see a lot of breast cancer like Long Island by 645 00:39:22,560 --> 00:39:27,000 Speaker 1: the way. Yes, that is that there have been reported 646 00:39:27,239 --> 00:39:32,600 Speaker 1: a lot of cases in certain geographic areas or in neighborhoods, 647 00:39:32,719 --> 00:39:36,799 Speaker 1: and you know, but it's never quite proven. And is 648 00:39:36,840 --> 00:39:40,960 Speaker 1: that something that you think warrants more study. 649 00:39:41,320 --> 00:39:45,480 Speaker 5: Yeah, absolutely warrants more study. And the clusters are very real. 650 00:39:46,080 --> 00:39:49,200 Speaker 5: It becomes difficult to tease out though why those clusters 651 00:39:49,239 --> 00:39:53,479 Speaker 5: occur because neighborhoods exist with people living in the same 652 00:39:53,600 --> 00:39:57,839 Speaker 5: environment for so many different reasons. Families like to live 653 00:39:57,920 --> 00:40:02,120 Speaker 5: together if they have certain lifestyles in common, or cultures 654 00:40:02,160 --> 00:40:05,600 Speaker 5: in common, race ethnicities often want to be in the 655 00:40:05,640 --> 00:40:08,360 Speaker 5: same neighborhood with each other. So there are just so 656 00:40:08,560 --> 00:40:12,400 Speaker 5: many factors that go behind the reasons why a neighborhood 657 00:40:12,520 --> 00:40:17,040 Speaker 5: is characterized by one pattern versus a different pattern. 658 00:40:17,040 --> 00:40:18,799 Speaker 1: But it does make you wonder, like is there an 659 00:40:18,880 --> 00:40:22,520 Speaker 1: environmental fact as way here? Is it like a certain 660 00:40:22,600 --> 00:40:27,719 Speaker 1: kind of plant maybe nearby that or pesticides anyway, It's 661 00:40:28,040 --> 00:40:31,040 Speaker 1: as I said, it's a lot of speculation. Let's focus 662 00:40:31,160 --> 00:40:35,640 Speaker 1: on for the remaining time we have on the best 663 00:40:35,680 --> 00:40:39,600 Speaker 1: way to prevent breast cancer and the best way to 664 00:40:39,680 --> 00:40:44,640 Speaker 1: prevent a recurrence of breast cancer, because I think both 665 00:40:44,680 --> 00:40:48,719 Speaker 1: of those are so important. We're all wearing our nice, comfortable, 666 00:40:48,880 --> 00:40:52,919 Speaker 1: easy spirit shoes, and that makes me want to ask 667 00:40:53,000 --> 00:40:57,560 Speaker 1: you about exercise and the role of being a physical 668 00:40:57,640 --> 00:41:01,040 Speaker 1: activity in terms of not only breast cancer, but a 669 00:41:01,040 --> 00:41:02,600 Speaker 1: whole host of diseases. 670 00:41:03,360 --> 00:41:03,960 Speaker 4: Yeah. 671 00:41:04,280 --> 00:41:08,479 Speaker 5: Yeah, exercise and continuing to move, being on the move 672 00:41:08,760 --> 00:41:11,799 Speaker 5: is good for the mind, body, and soul, and it 673 00:41:12,080 --> 00:41:17,440 Speaker 5: very definitely is valuable in preventing breast cancer and in 674 00:41:17,800 --> 00:41:20,520 Speaker 5: having a better outcome if you have been diagnosed with 675 00:41:20,560 --> 00:41:25,200 Speaker 5: breast cancer. Now, I don't want women and breast cancer 676 00:41:25,280 --> 00:41:29,120 Speaker 5: survivors to feel that everything is on their shoulders and 677 00:41:29,360 --> 00:41:32,160 Speaker 5: in terms of preventing a recurrence of a breast cancer 678 00:41:32,239 --> 00:41:35,799 Speaker 5: or preventing it from being diagnosed altogether, because some things 679 00:41:35,840 --> 00:41:39,560 Speaker 5: are simply out of our control. But absolutely we can 680 00:41:39,960 --> 00:41:44,960 Speaker 5: provide ourselves some protection against a breast cancer diagnosis with 681 00:41:45,200 --> 00:41:51,360 Speaker 5: a healthy lifestyle, balanced diet, and continuing to be screened. 682 00:41:51,600 --> 00:41:54,400 Speaker 5: Because there is no doubt about it that early detection 683 00:41:54,520 --> 00:41:58,320 Speaker 5: of a breast cancer, regardless of the breast cancer subtype, 684 00:41:58,400 --> 00:42:01,880 Speaker 5: early detection of that breast cancer is a huge factor 685 00:42:02,080 --> 00:42:05,760 Speaker 5: in likelihood of successful treatment, and if a breast cancer 686 00:42:05,840 --> 00:42:09,520 Speaker 5: has been diagnosed, a woman has to be vigilant about 687 00:42:09,560 --> 00:42:13,400 Speaker 5: her breast evaluation for both breasts for the rest of 688 00:42:13,440 --> 00:42:16,080 Speaker 5: her life. She not only could develop a recurrence of 689 00:42:16,120 --> 00:42:18,680 Speaker 5: the breast cancer in that breast or in other parts 690 00:42:18,680 --> 00:42:19,759 Speaker 5: of the body, but. 691 00:42:19,680 --> 00:42:21,880 Speaker 4: She can develop a whole new breast cancer. And it 692 00:42:21,960 --> 00:42:23,680 Speaker 4: always breaks my heart when. 693 00:42:23,840 --> 00:42:26,760 Speaker 5: I hear breast cancer patients say that they just didn't 694 00:42:26,840 --> 00:42:29,359 Speaker 5: realize that they have to be on the lookout for 695 00:42:29,480 --> 00:42:31,239 Speaker 5: a new cancer developing. 696 00:42:32,200 --> 00:42:33,319 Speaker 4: There's a Lenser's key. 697 00:42:33,560 --> 00:42:39,160 Speaker 1: Yeah, there's exercise, and there's exercise, like for me taking 698 00:42:39,239 --> 00:42:42,960 Speaker 1: a nice walk around Central Park and looking at all 699 00:42:43,040 --> 00:42:46,920 Speaker 1: the people and the squirrels and the birds. But how 700 00:42:47,239 --> 00:42:52,440 Speaker 1: like how intense should your exercise be? Because I think 701 00:42:52,480 --> 00:42:57,480 Speaker 1: there's a big spectrum right from lazy to intense. Right, 702 00:42:57,800 --> 00:43:00,719 Speaker 1: So do you have to really get your heart rate up? 703 00:43:00,920 --> 00:43:04,120 Speaker 1: And can you give us some advice on that, Lisa, 704 00:43:05,040 --> 00:43:07,400 Speaker 1: or is it kind of out of your well. 705 00:43:08,200 --> 00:43:11,360 Speaker 5: I don't think that you have to be manic about 706 00:43:11,400 --> 00:43:18,400 Speaker 5: your exercise regimen, but making sure that you walk regularly 707 00:43:18,480 --> 00:43:23,960 Speaker 5: throughout the day, take a flight, or two upstairs every day. 708 00:43:25,280 --> 00:43:26,040 Speaker 4: That will help. 709 00:43:26,640 --> 00:43:29,239 Speaker 1: And if you break a sweat, it's a good thing, right. 710 00:43:29,719 --> 00:43:34,160 Speaker 1: I don't like very sweat straightforward parameter. Okay, let's just 711 00:43:34,200 --> 00:43:37,480 Speaker 1: talk quickly about diet and alcohol and sort of what 712 00:43:37,520 --> 00:43:40,759 Speaker 1: you recommend. Should I not be eating bacon because it 713 00:43:40,840 --> 00:43:44,640 Speaker 1: is my favorite food, it is my very favorite food. 714 00:43:45,640 --> 00:43:49,280 Speaker 2: Well, it's all about balance, because I don't. 715 00:43:49,120 --> 00:43:52,440 Speaker 3: Want to hear the answer to that one. I love bacon. Oh, 716 00:43:52,440 --> 00:43:54,000 Speaker 3: but I'm good. I took off both of us, so 717 00:43:54,040 --> 00:43:54,439 Speaker 3: I'm good. 718 00:43:55,719 --> 00:43:58,680 Speaker 1: Bacon is probably not good for a lot of different things. 719 00:43:58,760 --> 00:44:02,600 Speaker 5: But yeah, it's all about balance in life and not 720 00:44:02,760 --> 00:44:06,880 Speaker 5: overdoing it with any type of food on a daily basis, 721 00:44:07,400 --> 00:44:10,320 Speaker 5: but especially fried foods, things like and fatty foods. 722 00:44:10,320 --> 00:44:12,360 Speaker 4: You don't want to overdo those on a daily basis. 723 00:44:12,760 --> 00:44:13,680 Speaker 4: Same with alcohol. 724 00:44:13,719 --> 00:44:18,680 Speaker 5: There are some cardiovascular benefits to some alcohol intake, but 725 00:44:19,520 --> 00:44:22,240 Speaker 5: more than a couple of glasses on a daily basis 726 00:44:22,280 --> 00:44:24,960 Speaker 5: is going to be bad for a number of different 727 00:44:25,360 --> 00:44:30,640 Speaker 5: health issues, including breast cancer. Risk of diet that has 728 00:44:30,719 --> 00:44:33,239 Speaker 5: a lot of fresh fruits and vegetables in it is 729 00:44:33,520 --> 00:44:39,440 Speaker 5: excellent fiber. Fiber isn't a fiber? Yeah, yeah, And in general, 730 00:44:39,680 --> 00:44:43,160 Speaker 5: all of the dietary patterns that are good for cardiovascular 731 00:44:43,239 --> 00:44:44,760 Speaker 5: health are good for breast health. 732 00:44:45,360 --> 00:44:48,840 Speaker 1: Let me ask you about genetic testing because I feel 733 00:44:48,880 --> 00:44:51,399 Speaker 1: like a lot of people don't get genetic testing. They 734 00:44:51,400 --> 00:44:55,560 Speaker 1: think it's too expensive or they think, you know, honestly, 735 00:44:55,719 --> 00:44:59,480 Speaker 1: they sort of don't want to know. So who is 736 00:44:59,560 --> 00:45:04,359 Speaker 1: genetic testing right for? And what would you tell your 737 00:45:04,400 --> 00:45:09,120 Speaker 1: patients or anyone listening to our conversation about genetic testing. 738 00:45:10,400 --> 00:45:15,279 Speaker 5: Well, fortunately, the costs of genetic testing have plummeted since 739 00:45:15,320 --> 00:45:19,400 Speaker 5: the Supreme Court ruling in twenty thirteen opening up genetic 740 00:45:19,480 --> 00:45:22,920 Speaker 5: testing to be performed by a number of different companies. 741 00:45:23,080 --> 00:45:26,879 Speaker 5: The prices have plummeted, and we have large scale panels 742 00:45:27,080 --> 00:45:29,920 Speaker 5: for genes that can be evaluated to look for hereditary 743 00:45:29,960 --> 00:45:34,040 Speaker 5: susceptibility for a variety of different cancers, not only breast cancer, 744 00:45:34,080 --> 00:45:40,960 Speaker 5: but we can identify hereditary predisposition for ovarian cancer, colon cancer, melanoma. Now, 745 00:45:40,960 --> 00:45:45,480 Speaker 5: there are some people who believe that everybody should be 746 00:45:45,560 --> 00:45:49,279 Speaker 5: genetically tested, at least for certain genes when they reach 747 00:45:49,400 --> 00:45:53,279 Speaker 5: adult life. We haven't quite gotten to the point where 748 00:45:53,320 --> 00:45:57,520 Speaker 5: that is broadly available to the general population. At this 749 00:45:57,640 --> 00:46:01,560 Speaker 5: point in time, the United States and Services Task Force 750 00:46:01,640 --> 00:46:06,200 Speaker 5: does recommend that anybody with Oshkenazi Jewish background should consider 751 00:46:06,239 --> 00:46:11,120 Speaker 5: getting tested for specific BRCA mutations once they reach age thirty, 752 00:46:11,160 --> 00:46:13,400 Speaker 5: because there's a very high risk. 753 00:46:13,480 --> 00:46:16,200 Speaker 1: For your risk of breast and ovarian goes up to 754 00:46:16,280 --> 00:46:18,960 Speaker 1: eighty percent if you'r BRACK a positive right. 755 00:46:18,840 --> 00:46:22,200 Speaker 5: Exactly, That is so true if you do have a 756 00:46:22,280 --> 00:46:27,000 Speaker 5: strong family history of breast cancer ovarian cancer, I mean 757 00:46:27,120 --> 00:46:30,239 Speaker 5: multiple relatives with either of those cancers. If there are 758 00:46:30,239 --> 00:46:33,600 Speaker 5: any men in your family with breast cancer, if you 759 00:46:33,719 --> 00:46:38,440 Speaker 5: have in your extended family tree many individuals diagnosed with 760 00:46:38,480 --> 00:46:42,160 Speaker 5: even other cancers such as coerectol or melanoma, those would 761 00:46:42,160 --> 00:46:45,120 Speaker 5: all be features indicating that you should consider getting genetic 762 00:46:45,160 --> 00:46:49,200 Speaker 5: testing done. If there's a bilateral breast cancer in the family, 763 00:46:49,560 --> 00:46:53,440 Speaker 5: breast cancer being diagnosed at younger ages, for women that 764 00:46:53,640 --> 00:46:57,200 Speaker 5: are themselves diagnosed with breast cancer at young ages, or 765 00:46:57,320 --> 00:47:01,400 Speaker 5: triple negative breast cancers, these are all so features indicating 766 00:47:01,440 --> 00:47:04,960 Speaker 5: that you might be more likely to have hereditary predisposition. 767 00:47:05,680 --> 00:47:08,480 Speaker 5: Now I am a breast surgeon, The American Society of 768 00:47:08,520 --> 00:47:11,640 Speaker 5: Breast Surgeons advocates in favor of all women who've been 769 00:47:11,680 --> 00:47:16,160 Speaker 5: diagnosed with breast cancer, regardless of age, racial ethnic background, 770 00:47:16,320 --> 00:47:19,440 Speaker 5: regardless of their pattern of breast cancer. If they are 771 00:47:19,440 --> 00:47:22,080 Speaker 5: diagnosed with breast cancer, they should be offered genetic testing. 772 00:47:22,160 --> 00:47:24,239 Speaker 5: And so I do offer genetic testing to all of 773 00:47:24,239 --> 00:47:24,920 Speaker 5: my patients. 774 00:47:25,160 --> 00:47:28,480 Speaker 1: I would like to make another argument for genetic testing though, 775 00:47:28,640 --> 00:47:34,319 Speaker 1: if I may, I do you know I think what 776 00:47:34,360 --> 00:47:38,680 Speaker 1: people don't understand is the vast majority of cancers involve 777 00:47:38,800 --> 00:47:44,279 Speaker 1: no family history. I think it's something like seventy eight 778 00:47:44,440 --> 00:47:47,520 Speaker 1: or eighty percent of calling cancer cases. And I know 779 00:47:47,560 --> 00:47:52,600 Speaker 1: a lot about this because my husband have no family history. Similarly, 780 00:47:52,880 --> 00:47:56,960 Speaker 1: the majority of breast cancer cases have no family history. 781 00:47:57,440 --> 00:48:02,160 Speaker 1: So isn't it smart before you get diagnosed to see 782 00:48:02,200 --> 00:48:05,719 Speaker 1: if you have any genetic mutations that may make you 783 00:48:06,400 --> 00:48:10,759 Speaker 1: at greater risk for any of these cancers so you 784 00:48:11,000 --> 00:48:16,160 Speaker 1: can schedule your screenings accordingly, So you might have to 785 00:48:16,200 --> 00:48:19,520 Speaker 1: be more vigilant. For example, I had genetic testing, I 786 00:48:19,640 --> 00:48:21,880 Speaker 1: believe it or not, have a higher risk of colling 787 00:48:21,920 --> 00:48:25,719 Speaker 1: cancer slightly because I have some genetic mutation and new 788 00:48:25,800 --> 00:48:28,640 Speaker 1: mutations are being discovered all the time. 789 00:48:29,040 --> 00:48:30,279 Speaker 2: So to me, it's kind of. 790 00:48:30,239 --> 00:48:33,399 Speaker 1: A no brainer to say, well, boy, I better not 791 00:48:33,560 --> 00:48:37,080 Speaker 1: forget to get my colling cancer, screening my colonoscopy or 792 00:48:37,080 --> 00:48:39,160 Speaker 1: my colon guard, whatever I choose to do. 793 00:48:40,000 --> 00:48:42,040 Speaker 2: So isn't that a good argument? 794 00:48:42,040 --> 00:48:44,000 Speaker 1: I remember, by the way, my parents were late for 795 00:48:44,040 --> 00:48:46,720 Speaker 1: their colonoscopies or whatever, and I was like, you guys 796 00:48:46,760 --> 00:48:49,759 Speaker 1: know how embarrassing it would be for me if you've 797 00:48:49,760 --> 00:48:51,600 Speaker 1: got diagnosed with calling cancer. 798 00:48:51,680 --> 00:48:54,600 Speaker 2: Come on, anyway, it's all about me. 799 00:48:56,239 --> 00:49:01,640 Speaker 1: So why wouldn't people recommend screening before they get diagnosed 800 00:49:01,719 --> 00:49:05,319 Speaker 1: with something so they can be armed with better information 801 00:49:05,520 --> 00:49:07,840 Speaker 1: that could potentially save their lives. 802 00:49:08,000 --> 00:49:13,120 Speaker 5: Ye, you are correct again, genetic testing a way. 803 00:49:12,600 --> 00:49:18,320 Speaker 4: Yes you are. In my book, you already are, but correct. 804 00:49:18,560 --> 00:49:22,000 Speaker 5: Genetic testing can save lives, and it does save lives 805 00:49:22,160 --> 00:49:25,400 Speaker 5: as we learn more about it. People who have hereditary 806 00:49:25,400 --> 00:49:29,440 Speaker 5: predisposition for different cancers can detect those cancers earlier with 807 00:49:29,600 --> 00:49:34,320 Speaker 5: enhanced screening. Some of these genetic markers serve as markers 808 00:49:34,320 --> 00:49:38,000 Speaker 5: for specific treatments that will be necessary if a cancer 809 00:49:38,040 --> 00:49:42,239 Speaker 5: is diagnosed, and we have good ways of preventing different cancers. 810 00:49:42,800 --> 00:49:45,879 Speaker 5: Individuals that are at higher risk for ovarian cancer if 811 00:49:45,920 --> 00:49:48,560 Speaker 5: they remove their ovaries, that is a wonderful way to 812 00:49:48,800 --> 00:49:53,160 Speaker 5: prevent ovarian cancer. And it's been shown to have survival advantages. 813 00:49:54,360 --> 00:49:56,800 Speaker 5: People that are at high risk for breast cancer are 814 00:49:56,840 --> 00:50:01,760 Speaker 5: candidates often to take special medication that can prevent breast cancer. 815 00:50:01,719 --> 00:50:04,799 Speaker 1: Or you know, to even make lifestyle changes, right. You know, 816 00:50:04,880 --> 00:50:07,040 Speaker 1: if you know that, you can say I'm going to 817 00:50:07,080 --> 00:50:10,319 Speaker 1: make sure I'm really vigilant about my diet and exercise. 818 00:50:11,000 --> 00:50:13,359 Speaker 3: But I will say as someone who I did the test, 819 00:50:13,520 --> 00:50:15,920 Speaker 3: I did the genetic testing and came back negative the 820 00:50:15,960 --> 00:50:19,000 Speaker 3: first time, So I don't want people to get comfortable 821 00:50:19,360 --> 00:50:21,920 Speaker 3: to take it and it comes back negative. 822 00:50:21,640 --> 00:50:24,240 Speaker 2: Like I do a false sense gave me a false. 823 00:50:23,760 --> 00:50:27,000 Speaker 3: It did, and then I took it again once I 824 00:50:27,040 --> 00:50:30,560 Speaker 3: did find out, but this time I took a full panel, right, 825 00:50:30,640 --> 00:50:33,520 Speaker 3: So when you take it, take the full panel. And 826 00:50:33,560 --> 00:50:35,239 Speaker 3: I did it the second time not for me, but 827 00:50:35,440 --> 00:50:38,440 Speaker 3: my daughter, right because I needed to know and make 828 00:50:38,480 --> 00:50:41,160 Speaker 3: sure my daughter had as much family history as she 829 00:50:41,239 --> 00:50:44,279 Speaker 3: could possibly have. So I would definitely encourage everyone to 830 00:50:44,320 --> 00:50:46,760 Speaker 3: have it. And when you have it, take the full panel, 831 00:50:46,800 --> 00:50:50,920 Speaker 3: because now we've discovered that I have some unknown genetic 832 00:50:51,520 --> 00:50:53,640 Speaker 3: and that we're going to need more people to do 833 00:50:53,800 --> 00:50:56,000 Speaker 3: genetic testing so we can figure out what my own 834 00:50:56,080 --> 00:50:58,200 Speaker 3: known and I'm at risk for right. 835 00:50:58,680 --> 00:51:02,520 Speaker 1: You know, you mentioned Sharon so beautifully at the beginning 836 00:51:02,560 --> 00:51:05,640 Speaker 1: of this conversation that you're trying to serve others and 837 00:51:06,400 --> 00:51:11,839 Speaker 1: help your community understand the importance of early detection about 838 00:51:11,920 --> 00:51:15,480 Speaker 1: getting screened. And I'm curious, how are you doing that, 839 00:51:15,800 --> 00:51:21,440 Speaker 1: because it's so important that women of color that we 840 00:51:21,600 --> 00:51:24,560 Speaker 1: reach out to them and make sure they know where 841 00:51:24,560 --> 00:51:27,200 Speaker 1: to go to get screened, make sure they know where 842 00:51:27,200 --> 00:51:32,040 Speaker 1: to go if they're uninsured or underinsured or insured, you know, 843 00:51:32,520 --> 00:51:36,759 Speaker 1: And I'm curious what you think are the most effective 844 00:51:36,840 --> 00:51:38,120 Speaker 1: ways to reach women. 845 00:51:38,640 --> 00:51:41,160 Speaker 3: Well, I mean, first, it starts with the conversation. So 846 00:51:41,480 --> 00:51:44,759 Speaker 3: like my mother, I was also very very private, and 847 00:51:44,960 --> 00:51:47,360 Speaker 3: when I discovered I had breast cancer, I actually, for 848 00:51:47,400 --> 00:51:50,120 Speaker 3: the first time my life decided to be public and 849 00:51:50,239 --> 00:51:53,240 Speaker 3: so I started sharing with everyone. Then I had breast 850 00:51:53,280 --> 00:51:57,040 Speaker 3: cancer and well, my doctor was my treatment. My daughter 851 00:51:57,200 --> 00:52:00,400 Speaker 3: created a WhatsApp communication because I didn't how to do 852 00:52:00,440 --> 00:52:05,000 Speaker 3: it with all my friends and telling them to get mammograms. 853 00:52:05,280 --> 00:52:07,880 Speaker 3: Before my surgery, I had a bye bye Boobs party 854 00:52:08,520 --> 00:52:11,319 Speaker 3: and I invited men and women to come to say 855 00:52:11,360 --> 00:52:15,279 Speaker 3: bye bye to my twins, but also to once again 856 00:52:15,360 --> 00:52:17,480 Speaker 3: talk about the importance of early detection. 857 00:52:17,840 --> 00:52:20,240 Speaker 4: And making it less. 858 00:52:20,040 --> 00:52:23,120 Speaker 3: Scary for folks. And everyone knew that my mom had 859 00:52:23,360 --> 00:52:27,160 Speaker 3: allowed hers to metastasize and what it caused me, and 860 00:52:27,200 --> 00:52:30,160 Speaker 3: so what they felt was like Wow. I had people 861 00:52:30,239 --> 00:52:33,759 Speaker 3: go get their mammograms and make appointments. I also run 862 00:52:33,800 --> 00:52:36,160 Speaker 3: a boys and girls club, so I have lots of 863 00:52:36,200 --> 00:52:39,480 Speaker 3: thousands of families there. So we are now having community 864 00:52:39,560 --> 00:52:43,719 Speaker 3: days where we're bringing in health professionals to talk about diabetes, 865 00:52:44,080 --> 00:52:47,560 Speaker 3: breast cancer, asking the American Cancer to bring the van 866 00:52:47,760 --> 00:52:49,920 Speaker 3: so we can do free screenings because a lot of 867 00:52:49,920 --> 00:52:52,920 Speaker 3: our parents are living the poverty line. And I know 868 00:52:53,040 --> 00:52:55,920 Speaker 3: for a fact that my father also died from cancer, 869 00:52:56,320 --> 00:52:59,759 Speaker 3: and both my mother and my father did not necessarily 870 00:52:59,840 --> 00:53:02,720 Speaker 3: go to the best places and didn't get the best device, 871 00:53:03,320 --> 00:53:06,719 Speaker 3: and they listened only to one doctor who wasn't necessarily 872 00:53:06,719 --> 00:53:10,280 Speaker 3: giving them the best device. And so I think sometimes 873 00:53:10,320 --> 00:53:13,360 Speaker 3: as African Americans were scared and we live by fear. 874 00:53:14,000 --> 00:53:16,359 Speaker 3: And so I also am a minister in a church, 875 00:53:16,719 --> 00:53:18,520 Speaker 3: and so I talk about it in the church. 876 00:53:18,680 --> 00:53:21,680 Speaker 1: I was going to say, Black churches to me, would 877 00:53:21,680 --> 00:53:23,839 Speaker 1: be a great place to spread the word. 878 00:53:23,920 --> 00:53:26,200 Speaker 2: Maybe you could travel around to a bunch of. 879 00:53:26,880 --> 00:53:31,160 Speaker 3: So I've been motivational speaking on this topic, and it's 880 00:53:31,200 --> 00:53:33,319 Speaker 3: really about the fact that and when I said it 881 00:53:33,320 --> 00:53:36,279 Speaker 3: at church, all these older women came up to me, go, 882 00:53:36,480 --> 00:53:39,960 Speaker 3: I had breast cancer, And I'm like, I've been sent 883 00:53:40,080 --> 00:53:43,600 Speaker 3: up here, y'all to tell me, Like I was trying 884 00:53:43,600 --> 00:53:45,320 Speaker 3: to figure out if I get a tattoo, no nipples, 885 00:53:45,320 --> 00:53:47,359 Speaker 3: all these things I had questions about, and y'all sitting 886 00:53:47,360 --> 00:53:49,480 Speaker 3: here and y'all knew I was having a double mis actomy. 887 00:53:49,480 --> 00:53:50,239 Speaker 2: You don't want to tell me. 888 00:53:51,360 --> 00:53:54,799 Speaker 3: But I think that the more I've been comfortable with 889 00:53:54,840 --> 00:53:57,319 Speaker 3: it and I've been sharing, I had surgery yesterday, by 890 00:53:57,360 --> 00:54:02,040 Speaker 3: the way, but I'm telling every I'm on the ones app. 891 00:54:02,200 --> 00:54:02,880 Speaker 2: I'm not only. 892 00:54:02,880 --> 00:54:05,400 Speaker 3: Instagram because I don't know how to do social media, 893 00:54:05,640 --> 00:54:08,839 Speaker 3: but I'm sharing, And I think taking the stigma out 894 00:54:08,880 --> 00:54:12,719 Speaker 3: of it, taking the fear out of it not being. 895 00:54:12,920 --> 00:54:17,799 Speaker 1: And also having a sense of humor clean breaks I 896 00:54:17,840 --> 00:54:19,800 Speaker 1: think that breaks the ice for people. 897 00:54:19,960 --> 00:54:21,719 Speaker 3: It really does, because I told everyone I had to 898 00:54:21,719 --> 00:54:24,799 Speaker 3: have emergency surgery yesterday, and I told everyone's because I 899 00:54:24,800 --> 00:54:27,000 Speaker 3: only had cancer in my right breast and my left 900 00:54:27,000 --> 00:54:28,920 Speaker 3: breast was fine, So my left breast got mad at 901 00:54:28,960 --> 00:54:31,000 Speaker 3: me for cutting it off. And then I wound up 902 00:54:31,000 --> 00:54:34,160 Speaker 3: getting an affection, so I had to take take care 903 00:54:34,160 --> 00:54:38,000 Speaker 3: of it yesterday. So but I have decided that I'm 904 00:54:38,040 --> 00:54:40,560 Speaker 3: going to laugh and I am going to enjoy it, 905 00:54:40,560 --> 00:54:42,279 Speaker 3: but I'm going to share, and I'm going to ask 906 00:54:42,320 --> 00:54:44,480 Speaker 3: people to go get their mammograms. I'm going to ask 907 00:54:44,560 --> 00:54:48,160 Speaker 3: them to have opinions, to do the research, do their homework, 908 00:54:48,320 --> 00:54:51,520 Speaker 3: get the genetic testing. And also, don't be afraid to 909 00:54:51,640 --> 00:54:55,239 Speaker 3: share with your children. They've got a note too, You've 910 00:54:55,360 --> 00:54:57,040 Speaker 3: you know, like I think sometimes with parents we want 911 00:54:57,040 --> 00:54:59,280 Speaker 3: to love them and protect them and keep it to ourselves, 912 00:54:59,360 --> 00:55:02,600 Speaker 3: but we owe them to talk to them and to 913 00:55:02,719 --> 00:55:04,080 Speaker 3: share in our journey. 914 00:55:05,200 --> 00:55:05,960 Speaker 2: Before we go. 915 00:55:06,040 --> 00:55:08,760 Speaker 1: I want to ask you one question, Lisa, about the future, 916 00:55:08,880 --> 00:55:12,839 Speaker 1: because I've been reading obviously a lot about AI. Who 917 00:55:12,960 --> 00:55:16,960 Speaker 1: hasn't and now with the expanded use of AI when 918 00:55:17,040 --> 00:55:20,120 Speaker 1: it comes to things like screening and pathology, etc. 919 00:55:21,400 --> 00:55:23,279 Speaker 2: It's very exciting. 920 00:55:23,680 --> 00:55:28,520 Speaker 1: I know that I read that AI can make early 921 00:55:28,600 --> 00:55:33,480 Speaker 1: detection easier and that it can even be used to 922 00:55:33,680 --> 00:55:39,120 Speaker 1: predict who might actually be diagnosed with breast cancer before 923 00:55:39,200 --> 00:55:43,360 Speaker 1: they even exhibit any symptoms, which is mind boggling to me. 924 00:55:43,800 --> 00:55:46,160 Speaker 1: Can you talk a little bit about how you see 925 00:55:46,200 --> 00:55:48,760 Speaker 1: the role of AI changing your field. 926 00:55:49,120 --> 00:55:51,920 Speaker 4: Oh, it's the enormous, Katie. 927 00:55:52,200 --> 00:55:55,920 Speaker 5: Yes, AI holds great promise in being able to improve 928 00:55:56,200 --> 00:56:00,239 Speaker 5: breast cancer outcomes. And as you mentioned with mammograms for example, 929 00:56:00,800 --> 00:56:05,040 Speaker 5: wouldn't it be incredible if, based upon a screening mammogram 930 00:56:05,080 --> 00:56:08,120 Speaker 5: and a woman that's totally healthy, if we could predict 931 00:56:08,200 --> 00:56:10,640 Speaker 5: the thirteen percent of the women in this country that 932 00:56:10,719 --> 00:56:14,640 Speaker 5: are destined to develop breast cancer and then prevent. 933 00:56:14,480 --> 00:56:16,080 Speaker 4: The cancer from developing in them. 934 00:56:16,640 --> 00:56:21,680 Speaker 5: And this is the promise of the artificial intelligence algorithms. 935 00:56:21,680 --> 00:56:23,840 Speaker 5: Now we're not quite there yet, but that is the 936 00:56:23,920 --> 00:56:28,720 Speaker 5: direction that we're going in. And artificial intelligence big data 937 00:56:28,800 --> 00:56:32,200 Speaker 5: algorithms are very useful in being able to evaluate and 938 00:56:32,239 --> 00:56:38,360 Speaker 5: read pathology biopsy specimens. But just as AI holds incredible promise, 939 00:56:38,920 --> 00:56:43,680 Speaker 5: it also holds great risks and if we don't do 940 00:56:43,760 --> 00:56:47,880 Speaker 5: it right, we're going to worsen the disparities that already exist. 941 00:56:48,400 --> 00:56:52,600 Speaker 5: If we develop these AI algorithms based upon data from 942 00:56:52,920 --> 00:56:58,440 Speaker 5: limited populations skinny women, women that are more affluent, women 943 00:56:58,480 --> 00:57:03,320 Speaker 5: with only European ancest we're going to be very limited 944 00:57:03,360 --> 00:57:05,799 Speaker 5: in what we can learn from these algorithms and we're 945 00:57:05,800 --> 00:57:08,360 Speaker 5: going to worsen some of the disparities that already exist. 946 00:57:08,440 --> 00:57:09,880 Speaker 2: That's such an important point. 947 00:57:09,960 --> 00:57:13,680 Speaker 1: Do you think that the tech world is mindful of 948 00:57:13,760 --> 00:57:18,160 Speaker 1: that as they start developing these tools, because I feel 949 00:57:18,160 --> 00:57:22,400 Speaker 1: like the word is out that these disparities exist and 950 00:57:22,440 --> 00:57:26,400 Speaker 1: that the large language models, whatever you call them, really 951 00:57:26,480 --> 00:57:28,480 Speaker 1: have to include a diverse population. 952 00:57:29,120 --> 00:57:29,960 Speaker 4: Yeah. 953 00:57:30,240 --> 00:57:35,800 Speaker 5: I hope that they are robustly aware of these risks, 954 00:57:36,160 --> 00:57:40,200 Speaker 5: but I'm not too sure because unfortunately, they often end 955 00:57:40,280 --> 00:57:44,000 Speaker 5: up relying upon data sets that already exist, and these 956 00:57:44,080 --> 00:57:48,400 Speaker 5: pre existing data sets are frequently very limited in the 957 00:57:48,400 --> 00:57:51,400 Speaker 5: individuals that have contributed data. So we have to be 958 00:57:51,440 --> 00:57:54,560 Speaker 5: working together to generate new data sets that are more 959 00:57:54,600 --> 00:57:58,240 Speaker 5: broadly inclusive of women that live in different environments, the 960 00:57:58,440 --> 00:58:01,400 Speaker 5: women that consume different types of diets, women that have 961 00:58:01,480 --> 00:58:03,200 Speaker 5: different ancestral backgrounds. 962 00:58:04,520 --> 00:58:06,800 Speaker 4: These data sets have to be generated de novo. 963 00:58:07,240 --> 00:58:08,640 Speaker 2: Yeah, such a good point. 964 00:58:08,920 --> 00:58:12,680 Speaker 1: Well, Sharon Joseph and doctor Lisa Newman, you both are 965 00:58:12,760 --> 00:58:16,040 Speaker 1: such rock stars. Thank you so much for such an 966 00:58:16,080 --> 00:58:22,000 Speaker 1: important informative conversation about breast cancer for Breast Cancer Awareness Month. 967 00:58:22,040 --> 00:58:25,320 Speaker 1: Thank you for the research you're doing, Sharon, thank you 968 00:58:25,400 --> 00:58:29,439 Speaker 1: for your advocacy, and everyone here. Thank you for being 969 00:58:29,480 --> 00:58:32,160 Speaker 1: a part of this conversation. I hope you'll go out 970 00:58:32,200 --> 00:58:34,880 Speaker 1: and spread the word to all of your friends and 971 00:58:34,960 --> 00:58:35,880 Speaker 1: family members. 972 00:58:35,960 --> 00:58:39,120 Speaker 2: So thank you, thank you, and thank. 973 00:58:38,920 --> 00:58:43,560 Speaker 4: You for being so fabulous. Your sake so many lives. 974 00:58:43,240 --> 00:58:47,080 Speaker 5: Katie, just by being who you are. 975 00:58:56,160 --> 00:58:59,360 Speaker 1: Thanks for listening everyone. If you have a question for me, 976 00:59:00,040 --> 00:59:02,320 Speaker 1: object you want us to cover, or you want to 977 00:59:02,360 --> 00:59:05,640 Speaker 1: share your thoughts about how you navigate this crazy world 978 00:59:06,000 --> 00:59:08,920 Speaker 1: reach out. You can leave a short message at six 979 00:59:09,040 --> 00:59:12,600 Speaker 1: oh nine five P one two five five five, or 980 00:59:12,640 --> 00:59:15,240 Speaker 1: you can send me a DM on Instagram. I would 981 00:59:15,280 --> 00:59:18,320 Speaker 1: love to hear from you. Next Question is a production 982 00:59:18,440 --> 00:59:22,920 Speaker 1: of iHeartMedia and Katie Couric Media. The executive producers are Me, 983 00:59:23,240 --> 00:59:27,880 Speaker 1: Katie Kuric, and Courtney Ltz. Our supervising producer is Ryan Martz, 984 00:59:28,400 --> 00:59:33,240 Speaker 1: and our producers are Adriana Fazzio and Meredith Barnes. Julian 985 00:59:33,280 --> 00:59:38,400 Speaker 1: Weller composed our theme music. For more information about today's episode, 986 00:59:38,600 --> 00:59:40,959 Speaker 1: or to sign up for my newsletter wake Up Call, 987 00:59:41,440 --> 00:59:44,280 Speaker 1: go to the description in the podcast app or visit 988 00:59:44,440 --> 00:59:47,600 Speaker 1: us at Katiecuric dot com. You can also find me 989 00:59:47,680 --> 00:59:51,400 Speaker 1: on Instagram and all my social media channels. For more 990 00:59:51,480 --> 00:59:56,800 Speaker 1: podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or 991 00:59:56,840 --> 01:00:02,040 Speaker 1: wherever you listen to your favorite shows. Hi everyone, it's 992 01:00:02,120 --> 01:00:04,400 Speaker 1: Katie Couric. I'd like to talk to you for a 993 01:00:04,440 --> 01:00:09,240 Speaker 1: moment about Easy Spirit. 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