1 00:00:05,080 --> 00:00:08,319 Speaker 1: All of that ultra processed food that is all part 2 00:00:08,400 --> 00:00:10,680 Speaker 1: of our diets. And I look around the room today, 3 00:00:11,160 --> 00:00:14,400 Speaker 1: people in the room here that are in your thirties 4 00:00:14,400 --> 00:00:17,639 Speaker 1: and forties, your number one risk of cancer mortality is 5 00:00:17,680 --> 00:00:18,759 Speaker 1: actually colling cancer. 6 00:00:18,800 --> 00:00:23,840 Speaker 2: Now, Hi everyone, I'm Katie Couric, and this is next question. 7 00:00:26,600 --> 00:00:30,319 Speaker 2: Since March is Colorectal Cancer Awareness Month, I wanted to 8 00:00:30,360 --> 00:00:34,040 Speaker 2: talk about a cause. Though important to me, I became 9 00:00:34,080 --> 00:00:38,080 Speaker 2: a fierce advocate for calling cancer awareness and screening after 10 00:00:38,159 --> 00:00:41,920 Speaker 2: my husband Jay died of this disease in nineteen ninety 11 00:00:41,960 --> 00:00:44,920 Speaker 2: eight when he was just forty two years old. It 12 00:00:45,040 --> 00:00:48,159 Speaker 2: shattered me and our girls, who were only six and 13 00:00:48,240 --> 00:00:51,680 Speaker 2: two at the time. So, as many of you know, 14 00:00:51,760 --> 00:00:55,600 Speaker 2: I became a screen queen of sorts, and increasing awareness 15 00:00:55,600 --> 00:00:58,600 Speaker 2: and spreading the gospel of early detection has become a 16 00:00:58,640 --> 00:01:03,200 Speaker 2: true mission for me. Today we're focusing on the symptoms, 17 00:01:03,360 --> 00:01:07,880 Speaker 2: the diagnostic tools, the treatments, and most urgently, why the 18 00:01:07,959 --> 00:01:11,080 Speaker 2: number of co directal cancer cases are going in the 19 00:01:11,120 --> 00:01:15,040 Speaker 2: wrong direction, especially in people under the age of fifty. 20 00:01:15,800 --> 00:01:19,920 Speaker 2: Joining the conversation is the CEO of Exact Sciences, Kevin Conroy. 21 00:01:20,360 --> 00:01:23,240 Speaker 2: Kevin is a business leader here in Madison is overseeing 22 00:01:23,280 --> 00:01:27,160 Speaker 2: in critical growth at his company. Kevin, of course, didn't 23 00:01:27,160 --> 00:01:30,279 Speaker 2: get the memo on the second commandment here at EPIC 24 00:01:30,360 --> 00:01:35,560 Speaker 2: because Exact Sciences shareholders just approved an acquisition by Abbott Laboratories. 25 00:01:36,400 --> 00:01:39,479 Speaker 2: Kevin has been a tremendous partner and a true blue 26 00:01:39,520 --> 00:01:42,080 Speaker 2: friend to me in the effort to get and keep 27 00:01:42,120 --> 00:01:46,480 Speaker 2: people talking about co directal cancer. Judy Faulkner, of course, 28 00:01:46,600 --> 00:01:49,520 Speaker 2: is the founder and CEO of Epic Systems. She's here 29 00:01:49,560 --> 00:01:52,920 Speaker 2: to talk about the role AI and large data sets 30 00:01:53,120 --> 00:01:56,160 Speaker 2: will be playing as we try to understand why this 31 00:01:56,360 --> 00:02:00,920 Speaker 2: disease is showing up more in younger people. And finally, 32 00:02:00,960 --> 00:02:04,000 Speaker 2: doctor Caitlin Murphy is a professor in the Departments of 33 00:02:04,200 --> 00:02:08,240 Speaker 2: Pediatrics and Public Health Services at the University of Chicago. 34 00:02:08,720 --> 00:02:12,560 Speaker 2: She holds a PhD in epidemiology from unc Chapel Hill 35 00:02:12,560 --> 00:02:15,919 Speaker 2: and a master's in public health from UT Health Houston. 36 00:02:16,280 --> 00:02:18,679 Speaker 2: And we'll be talking about the latest research and the 37 00:02:18,800 --> 00:02:22,400 Speaker 2: rising incidents of colorectal cancer and the quest to figure 38 00:02:22,440 --> 00:02:26,040 Speaker 2: out why this is happening. So please give our panel 39 00:02:26,080 --> 00:02:29,400 Speaker 2: a round of applause. Thank you all so much for 40 00:02:29,440 --> 00:02:33,720 Speaker 2: indulging me and for being here, and for talking about, 41 00:02:33,919 --> 00:02:36,760 Speaker 2: as I said, an issue that is so important to 42 00:02:36,760 --> 00:02:40,040 Speaker 2: me and I've become sort of synonymous with So you 43 00:02:40,080 --> 00:02:41,919 Speaker 2: look like you're kind of tearing up, Kevin. 44 00:02:42,240 --> 00:02:45,680 Speaker 1: I'm sitting here amazed that I am on this panel. 45 00:02:45,919 --> 00:02:49,080 Speaker 2: All right, Well, don't be ridiculous. You should be and 46 00:02:49,200 --> 00:02:51,840 Speaker 2: we'll talk to you about a lot of things, how 47 00:02:51,880 --> 00:02:54,960 Speaker 2: Exact Sciences has really changed the face of this disease. 48 00:02:55,080 --> 00:02:57,560 Speaker 2: So thank you for that. But first I wanted to 49 00:02:57,600 --> 00:03:01,679 Speaker 2: talk with doctor Murphy. Let's talk about this alarming statistic 50 00:03:01,800 --> 00:03:04,840 Speaker 2: that came out last year. Colorectal cancer is now the 51 00:03:04,960 --> 00:03:09,280 Speaker 2: leading cause of cancer deaths in people under the age 52 00:03:09,280 --> 00:03:12,760 Speaker 2: of fifty in this country, and we're seeing similar patterns 53 00:03:12,840 --> 00:03:15,960 Speaker 2: all over the world. There are a lot of theories 54 00:03:16,320 --> 00:03:18,880 Speaker 2: about why this is happening, and I wondered if we could, 55 00:03:18,960 --> 00:03:20,960 Speaker 2: Caitlin just run through them, and may I call you 56 00:03:21,040 --> 00:03:24,640 Speaker 2: Caitlin doctor Murphy. Yes, of course, So let's talk about 57 00:03:24,680 --> 00:03:25,720 Speaker 2: the various theories. 58 00:03:26,360 --> 00:03:28,680 Speaker 3: Well, I've been in the trenches doing work on this 59 00:03:28,760 --> 00:03:31,600 Speaker 3: for a long time, and my thinking about the theories 60 00:03:31,639 --> 00:03:35,640 Speaker 3: has really evolved over the last ten years or so. 61 00:03:35,680 --> 00:03:38,920 Speaker 3: When I first started studying coloactual cancer and young people, 62 00:03:39,040 --> 00:03:42,560 Speaker 3: I was really convinced that there was a smoking gun 63 00:03:42,720 --> 00:03:45,560 Speaker 3: of a risk factor, so one thing out there that 64 00:03:45,680 --> 00:03:49,280 Speaker 3: explained all of the increase in incidence in mortality rates, 65 00:03:49,280 --> 00:03:52,520 Speaker 3: as you're pointing out. But really, as I've studied this 66 00:03:52,640 --> 00:03:55,280 Speaker 3: disease over the last couple of years, it's been clear 67 00:03:55,320 --> 00:03:59,320 Speaker 3: that there's probably thousands of possibilities, and I think what 68 00:03:59,360 --> 00:04:02,000 Speaker 3: we need to do now is eliminate what some of 69 00:04:02,040 --> 00:04:05,560 Speaker 3: those top suspects could be. So I think it's the environment, 70 00:04:05,720 --> 00:04:08,320 Speaker 3: and how can we think about identifying maybe some of 71 00:04:08,360 --> 00:04:12,360 Speaker 3: the top clues or suspects in the environment that might contribute. 72 00:04:12,800 --> 00:04:15,520 Speaker 2: Let's talk about that, because you hear that and you think, well, 73 00:04:15,560 --> 00:04:18,360 Speaker 2: I want them out of my environment. So what are they? 74 00:04:19,080 --> 00:04:21,360 Speaker 3: We really don't know. I think maybe we can take 75 00:04:21,400 --> 00:04:23,800 Speaker 3: a step back, and first, there was a lot of 76 00:04:23,880 --> 00:04:29,719 Speaker 3: thought initially that things like obesity, physical inactivity, diet risk 77 00:04:29,800 --> 00:04:33,000 Speaker 3: factors that we know are related to col directal cancer 78 00:04:33,080 --> 00:04:36,760 Speaker 3: and older adults are also related to co directal cancer 79 00:04:36,800 --> 00:04:39,560 Speaker 3: and young people, and it makes sense to think that 80 00:04:39,600 --> 00:04:43,120 Speaker 3: those are the contributors because they've been increasing in our 81 00:04:43,160 --> 00:04:46,359 Speaker 3: population at the same time that the incidence rates have 82 00:04:46,440 --> 00:04:49,320 Speaker 3: been increasing. But we've learned in the last couple of 83 00:04:49,360 --> 00:04:52,520 Speaker 3: years or so that yes, those do contribute, but they 84 00:04:52,600 --> 00:04:56,200 Speaker 3: don't explain all of the increase that we're seeing, and 85 00:04:56,240 --> 00:04:58,320 Speaker 3: so that's left a lot of us in the research 86 00:04:58,360 --> 00:05:01,320 Speaker 3: field thinking that there's something else in the environment that 87 00:05:01,400 --> 00:05:05,640 Speaker 3: may contribute. What that is I have no idea, unfortunately, 88 00:05:05,800 --> 00:05:08,560 Speaker 3: but I think there's a lot of opportunity to apply 89 00:05:08,720 --> 00:05:11,440 Speaker 3: some of the new technologies and tools we have to 90 00:05:11,480 --> 00:05:14,799 Speaker 3: at least figure out what again might be those top suspects. 91 00:05:15,040 --> 00:05:17,280 Speaker 2: I want to mention some of the theories because as 92 00:05:17,320 --> 00:05:20,760 Speaker 2: you all can imagine, I'm obsessed with this topic and 93 00:05:21,120 --> 00:05:23,440 Speaker 2: i read constantly about it, and I'm just going to 94 00:05:23,520 --> 00:05:26,359 Speaker 2: throw out some of the reasons that people are looking into. 95 00:05:26,440 --> 00:05:28,640 Speaker 2: For example, there was a big article in jama in 96 00:05:28,680 --> 00:05:34,359 Speaker 2: November about ultraprocessed foods. As you mentioned, obesity, low fiber. 97 00:05:34,880 --> 00:05:38,400 Speaker 2: People are talking and looking at microplastics and how they're 98 00:05:38,400 --> 00:05:43,360 Speaker 2: interacting with something called the microbiome forever chemicals pfas, and 99 00:05:43,400 --> 00:05:46,520 Speaker 2: how they might be affecting sort of our microbiome and 100 00:05:46,600 --> 00:05:51,440 Speaker 2: our biology. I've also heard from doctors at Memorial Sloan 101 00:05:51,520 --> 00:05:55,880 Speaker 2: kettering about the over prescription of antibiotics that somehow that's 102 00:05:56,120 --> 00:05:59,120 Speaker 2: affecting our bacteria. You know that doctors were kind of 103 00:05:59,120 --> 00:06:02,520 Speaker 2: handing them out like handy, even for viral infections where 104 00:06:02,520 --> 00:06:06,159 Speaker 2: they weren't going to be particularly efficacious. So I even 105 00:06:06,240 --> 00:06:10,600 Speaker 2: talked to a doctor, a researcher, scientist. I started Stand 106 00:06:10,680 --> 00:06:15,040 Speaker 2: Up to Cancer, which is an organization that has scientists 107 00:06:15,160 --> 00:06:19,279 Speaker 2: collaborate in all areas of cancer research. And to brag 108 00:06:19,320 --> 00:06:21,680 Speaker 2: for a second, we've raised over eight hundred million dollars 109 00:06:21,760 --> 00:06:26,440 Speaker 2: for collaborative research. Thank you. She was saying interestingly enough 110 00:06:26,560 --> 00:06:31,600 Speaker 2: that scientists are even looking, Caitlin at screens and how 111 00:06:31,800 --> 00:06:37,520 Speaker 2: screens might be affecting our circadian rhythms, and how that 112 00:06:37,640 --> 00:06:41,800 Speaker 2: might have an impact on our biology and potentially this 113 00:06:41,920 --> 00:06:45,000 Speaker 2: lack of sleep on our microbiome. So I just sort 114 00:06:45,000 --> 00:06:47,600 Speaker 2: of read a laundry list of all the different theories 115 00:06:47,640 --> 00:06:49,719 Speaker 2: out there, and I'm just curious what you think. 116 00:06:50,240 --> 00:06:52,760 Speaker 3: Yeah, I think you're exactly right. There's a laundry list 117 00:06:52,760 --> 00:06:55,719 Speaker 3: of possibilities. And now I think we're at a moment 118 00:06:55,760 --> 00:06:58,280 Speaker 3: in science where we need to kind of narrow in 119 00:06:58,320 --> 00:07:01,120 Speaker 3: on one of those things in your laundry lists. 120 00:07:01,279 --> 00:07:03,920 Speaker 2: But it might be multifactorial, right, I mean, it might 121 00:07:03,960 --> 00:07:06,479 Speaker 2: be a whole confluence of things exactly. 122 00:07:06,480 --> 00:07:08,440 Speaker 3: I don't think it's a smoking gun, like I said, 123 00:07:08,440 --> 00:07:11,600 Speaker 3: but a lot of different possibilities. The challenge I think 124 00:07:11,640 --> 00:07:14,920 Speaker 3: in science has been that historically we study one thing 125 00:07:14,960 --> 00:07:17,720 Speaker 3: at a time. So we've been taught as scientist to 126 00:07:17,800 --> 00:07:20,800 Speaker 3: test one hypothesis and then move on to the next. 127 00:07:21,160 --> 00:07:23,320 Speaker 3: But I don't think we have time in this case 128 00:07:23,360 --> 00:07:26,600 Speaker 3: to test one thing at a time, and we really 129 00:07:26,600 --> 00:07:28,960 Speaker 3: need to think about how can we use different tools, 130 00:07:29,120 --> 00:07:32,760 Speaker 3: different methods to discover the thousands of possibilities that it 131 00:07:32,880 --> 00:07:33,160 Speaker 3: might be. 132 00:07:33,640 --> 00:07:36,720 Speaker 2: And that's where a huge data set and a company 133 00:07:36,800 --> 00:07:38,680 Speaker 2: like epic Judy comes in. 134 00:07:38,840 --> 00:07:39,040 Speaker 4: Right. 135 00:07:39,280 --> 00:07:44,320 Speaker 2: Epidemiological studies are notoriously difficult to conduct. They take years 136 00:07:44,320 --> 00:07:47,240 Speaker 2: and years. They have to get so many different people 137 00:07:47,320 --> 00:07:50,680 Speaker 2: to participate, right, Caitlin, and kind of give all this 138 00:07:50,880 --> 00:07:53,800 Speaker 2: personal info about what they may be eating on all 139 00:07:53,880 --> 00:07:57,480 Speaker 2: kinds of things. How does a large data set that 140 00:07:57,560 --> 00:08:01,960 Speaker 2: you all have accumulated here is possibility for that to 141 00:08:01,960 --> 00:08:04,640 Speaker 2: help us understand why this is happening, Judy. 142 00:08:05,280 --> 00:08:08,520 Speaker 4: Yeah, and I think that our customers who share their 143 00:08:08,600 --> 00:08:12,440 Speaker 4: data with us and have people who can do the research, 144 00:08:12,600 --> 00:08:16,400 Speaker 4: have a wonderful opportunity to look at that data and 145 00:08:16,480 --> 00:08:18,920 Speaker 4: help make some of the decisions that need to be made. 146 00:08:19,080 --> 00:08:22,040 Speaker 2: Because I know a lot of those doctors I queried 147 00:08:22,120 --> 00:08:26,240 Speaker 2: before our conversation, they were so excited about the research 148 00:08:26,440 --> 00:08:31,440 Speaker 2: aspect of EPIC and the database that you all have accumulated. 149 00:08:31,920 --> 00:08:35,920 Speaker 2: You haven't even started to necessarily turn that engine on 150 00:08:36,040 --> 00:08:37,600 Speaker 2: as much as it could be. Right. 151 00:08:38,040 --> 00:08:41,440 Speaker 4: If you look at epicresearch dot org, you'll see a 152 00:08:41,440 --> 00:08:44,040 Speaker 4: lot of the studies that we do and some of 153 00:08:44,080 --> 00:08:47,480 Speaker 4: the studies that are various customers do as well as 154 00:08:47,480 --> 00:08:49,839 Speaker 4: sometimes if you just read an article, you read, oh, 155 00:08:49,880 --> 00:08:52,320 Speaker 4: this was using epic stata at the end of the article. 156 00:08:52,760 --> 00:08:58,959 Speaker 2: Do you collaborate with researchers like Caitlin at other academic institutions. 157 00:08:58,480 --> 00:09:00,920 Speaker 4: Yes, some of our staff do. We do have a 158 00:09:00,960 --> 00:09:04,360 Speaker 4: small research group that works with some of the research 159 00:09:04,400 --> 00:09:07,760 Speaker 4: folks from our customer base. Plus we've worked with the 160 00:09:07,800 --> 00:09:08,600 Speaker 4: CDC a bit. 161 00:09:09,240 --> 00:09:11,920 Speaker 2: That's awesome because I think we need all the help 162 00:09:11,960 --> 00:09:15,240 Speaker 2: we can get. Right Meanwhile, Kevin, you know, in addition 163 00:09:15,559 --> 00:09:20,280 Speaker 2: to the number of people under fifty really increasing, the 164 00:09:20,320 --> 00:09:25,079 Speaker 2: American Cancer Society even more recently released a report that 165 00:09:25,200 --> 00:09:28,800 Speaker 2: said the number of colorectal cancer cases and patients between 166 00:09:28,840 --> 00:09:32,800 Speaker 2: the ages of fifty and sixty five has also increased, 167 00:09:32,920 --> 00:09:36,480 Speaker 2: as has the mortality rate. And I'm curious why you 168 00:09:36,520 --> 00:09:37,480 Speaker 2: think that's happening. 169 00:09:38,240 --> 00:09:41,960 Speaker 1: The issue is a real issue that the age is lowering, 170 00:09:42,400 --> 00:09:46,280 Speaker 1: and part of it is probably because we have done 171 00:09:46,280 --> 00:09:48,800 Speaker 1: such a good job of screening people over time that 172 00:09:48,920 --> 00:09:52,720 Speaker 1: older people are well protected because they've been screened. That's 173 00:09:52,760 --> 00:09:54,880 Speaker 1: part of it. But the other part of it is 174 00:09:54,880 --> 00:09:58,400 Speaker 1: there something going on in diets or the environment or 175 00:09:58,720 --> 00:10:03,280 Speaker 1: the microbiome that is causing younger people, including people under 176 00:10:03,440 --> 00:10:08,040 Speaker 1: sixty five, to get colon cancer. One researcher at Mail 177 00:10:08,120 --> 00:10:12,679 Speaker 1: Clinic said, Kevin, people at the Mail Clinic think that sugar, 178 00:10:13,240 --> 00:10:18,240 Speaker 1: a lot of sugar causes an insulin response. Insulin hits 179 00:10:18,280 --> 00:10:22,280 Speaker 1: the lining of the gut of your colon, which causes 180 00:10:22,360 --> 00:10:27,200 Speaker 1: cells to turn over a lot faster, which then just 181 00:10:27,280 --> 00:10:31,000 Speaker 1: because the cells die, you need new cells and you 182 00:10:31,120 --> 00:10:34,600 Speaker 1: have a random chance of a mutation in one of 183 00:10:34,640 --> 00:10:38,120 Speaker 1: the genes that protects against colon cancer. And he said, 184 00:10:38,200 --> 00:10:40,000 Speaker 1: you can look at the inside of the gut of 185 00:10:40,040 --> 00:10:44,120 Speaker 1: somebody who is fifty today, it looks like the gut 186 00:10:44,200 --> 00:10:47,800 Speaker 1: of an eighty year old from nineteen fifty. So all 187 00:10:47,840 --> 00:10:51,000 Speaker 1: of that ultra processed food that is all part of 188 00:10:51,080 --> 00:10:54,120 Speaker 1: our diets. And I look around the room today, people 189 00:10:54,320 --> 00:10:57,559 Speaker 1: in the room here that are in your thirties and forties, 190 00:10:57,559 --> 00:11:01,360 Speaker 1: your number one risk of cancer mortality is actually colon cancer, 191 00:11:01,400 --> 00:11:05,560 Speaker 1: now you know, and lung cancer mortality in younger people 192 00:11:05,720 --> 00:11:09,199 Speaker 1: has just plummeted, I think from first to third or fourth, 193 00:11:09,320 --> 00:11:13,960 Speaker 1: and for leukemia that has just plummeted, I think from 194 00:11:14,320 --> 00:11:18,520 Speaker 1: third to fifth. And so colon cancer just keeps increasing. 195 00:11:18,960 --> 00:11:21,960 Speaker 1: And so there must be something here in the diet 196 00:11:22,120 --> 00:11:25,320 Speaker 1: and the environment which means, okay, how do you protect 197 00:11:25,360 --> 00:11:27,600 Speaker 1: against it? It may be twenty years before we know 198 00:11:27,720 --> 00:11:28,240 Speaker 1: the answer. 199 00:11:34,000 --> 00:11:36,400 Speaker 2: Hi everyone, it's me Katie Couric. You know, if you've 200 00:11:36,400 --> 00:11:39,160 Speaker 2: been following me on social media, you know I love 201 00:11:39,240 --> 00:11:42,400 Speaker 2: to cook, or at least try, especially alongside some of 202 00:11:42,400 --> 00:11:46,120 Speaker 2: my favorite chefs and foodies like Benny Blanco, Jake Cohen, 203 00:11:46,240 --> 00:11:50,640 Speaker 2: Lighty Hoyke, Alison Roman and Ininagarten. So I started a 204 00:11:50,679 --> 00:11:54,280 Speaker 2: free newsletter called good Taste to share recipes, tips and 205 00:11:54,360 --> 00:11:58,560 Speaker 2: kitchen mustaves. Just sign up at Katiecuric dot com slash 206 00:11:58,679 --> 00:12:01,719 Speaker 2: good Taste. That's k A t I e c o 207 00:12:01,840 --> 00:12:06,480 Speaker 2: u ric dot com slash good Taste. I promise your 208 00:12:06,559 --> 00:12:19,480 Speaker 2: taste buds will be happy you did. What's interesting to me, Kevin, 209 00:12:19,600 --> 00:12:22,200 Speaker 2: is you know between the ages of fifty and sixty five, 210 00:12:22,280 --> 00:12:25,800 Speaker 2: and this is apparently due to an uptick and rectal cancer, 211 00:12:25,960 --> 00:12:29,920 Speaker 2: the cancer that killed Catherine O'Hara. These people, this cohort 212 00:12:30,320 --> 00:12:33,440 Speaker 2: is squarely in the middle of the key screening population. 213 00:12:33,640 --> 00:12:36,040 Speaker 2: Do you think that people are getting screened less? What 214 00:12:36,080 --> 00:12:37,040 Speaker 2: do you think is going on? 215 00:12:37,120 --> 00:12:40,640 Speaker 1: Well, the incidence going up is probably because more people 216 00:12:40,679 --> 00:12:43,720 Speaker 1: are getting screened. So when you do a jolt of screening, 217 00:12:43,840 --> 00:12:45,760 Speaker 1: what do you do is you pull forward and you 218 00:12:45,880 --> 00:12:48,520 Speaker 1: find a lot more cancers than you would find if 219 00:12:48,520 --> 00:12:50,240 Speaker 1: you just let them occur naturally. 220 00:12:50,600 --> 00:12:54,000 Speaker 2: And this includes early stage cancers, right, that's right when 221 00:12:54,000 --> 00:12:56,000 Speaker 2: the American Cancer Society says this. 222 00:12:56,280 --> 00:12:58,880 Speaker 1: Yes, So, for example, when you introduce a new screening 223 00:12:58,880 --> 00:13:01,559 Speaker 1: test like colo Guide, And to put this in perspective, 224 00:13:01,600 --> 00:13:03,400 Speaker 1: if you go back twelve years ago when coal Guard 225 00:13:03,520 --> 00:13:07,000 Speaker 1: was first launched, there are about five to six million 226 00:13:07,080 --> 00:13:10,960 Speaker 1: screening colonoscopies in the US every year. Today, there are 227 00:13:11,000 --> 00:13:14,480 Speaker 1: five to six million screening colonosopies in the US every year, 228 00:13:14,880 --> 00:13:17,600 Speaker 1: but there's also now this year will be about six 229 00:13:17,679 --> 00:13:21,680 Speaker 1: million coal guard tests Ballpark. I'm not giving guidance to 230 00:13:21,679 --> 00:13:24,560 Speaker 1: anybody about how many screening tests we're going to do, 231 00:13:24,679 --> 00:13:27,120 Speaker 1: but what that tells you is we got this BOLDUS 232 00:13:27,200 --> 00:13:30,120 Speaker 1: of people's screened twenty three million people in the last 233 00:13:30,120 --> 00:13:33,480 Speaker 1: twelve years. So you're going to find more cancers, but 234 00:13:33,520 --> 00:13:35,600 Speaker 1: you're going to find them earlier when they're treatable. And 235 00:13:35,640 --> 00:13:38,880 Speaker 1: to put this in perspective, a stage one colon cancer 236 00:13:39,400 --> 00:13:43,520 Speaker 1: ninety eight percent survival rate. Almost never do you get chemotherapy. 237 00:13:43,679 --> 00:13:47,960 Speaker 1: It's surgery is curative. Stage four colon cancer when it 238 00:13:48,000 --> 00:13:53,400 Speaker 1: has spread, eight percent survival. So this is a disease 239 00:13:53,600 --> 00:13:57,120 Speaker 1: that can be eradicated. And the one other cancer, there's 240 00:13:57,160 --> 00:14:00,320 Speaker 1: been one cancer that's been nearly eradicated, cervical can. You 241 00:14:00,320 --> 00:14:02,080 Speaker 1: don't hear about it a lot. There are forty five 242 00:14:02,160 --> 00:14:04,320 Speaker 1: hundred deaths a year in the US, but if you 243 00:14:04,360 --> 00:14:06,920 Speaker 1: go back into the nineteen fifties, cervical cancer was the 244 00:14:07,000 --> 00:14:10,319 Speaker 1: number one cause of death in women. There were forty 245 00:14:10,360 --> 00:14:13,720 Speaker 1: five thousand deaths. And then came along this test called 246 00:14:13,720 --> 00:14:18,160 Speaker 1: the pap smear. Doctor peploc and cow He invented the 247 00:14:18,240 --> 00:14:22,160 Speaker 1: test and pretty soon everybody got screened. The disease is 248 00:14:22,320 --> 00:14:25,200 Speaker 1: so slow growing it takes ten to fifteen years to 249 00:14:25,240 --> 00:14:28,320 Speaker 1: go from that lesion to cancer, and you can remove 250 00:14:28,360 --> 00:14:31,200 Speaker 1: the lesion, so we can do the same thing for 251 00:14:31,320 --> 00:14:33,920 Speaker 1: colon cancer. And I'll just say one more thing. I 252 00:14:34,000 --> 00:14:35,240 Speaker 1: know I'm going on too long. 253 00:14:35,120 --> 00:14:35,960 Speaker 2: But oh, you're fine. 254 00:14:36,000 --> 00:14:38,040 Speaker 1: I was at dinner with Judy and a group of 255 00:14:38,080 --> 00:14:40,600 Speaker 1: people about I want to say, about seven or eight 256 00:14:40,680 --> 00:14:44,080 Speaker 1: years ago, and I explained the problem that we had 257 00:14:44,120 --> 00:14:47,120 Speaker 1: that we were building code to integrate with every health 258 00:14:47,120 --> 00:14:51,000 Speaker 1: system in the US. And Judy looked at me and said, Kevin, 259 00:14:51,680 --> 00:14:55,240 Speaker 1: that is going to break and I said, I know, 260 00:14:56,320 --> 00:15:00,520 Speaker 1: but you won't let us become a customer. And he said, 261 00:15:00,880 --> 00:15:05,400 Speaker 1: let me think about that. And thirty days later, Alan 262 00:15:05,840 --> 00:15:09,640 Speaker 1: Hutchison called me and said, Kevin, not only do we 263 00:15:09,680 --> 00:15:11,960 Speaker 1: want you to become a customer, but we want to 264 00:15:12,080 --> 00:15:16,600 Speaker 1: create an electronic ordering capability so that we take the 265 00:15:16,640 --> 00:15:19,320 Speaker 1: friction out of ordering. We were getting all of our 266 00:15:19,440 --> 00:15:23,440 Speaker 1: orders basically by facts and results by facts. And I 267 00:15:23,480 --> 00:15:26,200 Speaker 1: remember saying to Alan at the time, this decision is 268 00:15:26,240 --> 00:15:29,200 Speaker 1: going to play a role in disease eradication. And so 269 00:15:29,360 --> 00:15:30,560 Speaker 1: Judy thank you. 270 00:15:31,560 --> 00:15:34,360 Speaker 2: And so I can plug col of Guard because I'm 271 00:15:34,400 --> 00:15:37,120 Speaker 2: sure Kevin doesn't really want to. But the reason it's 272 00:15:37,160 --> 00:15:41,000 Speaker 2: so important is there are many people who for whatever reason, 273 00:15:41,720 --> 00:15:44,760 Speaker 2: can't afford a kolonoscopy, can't take time off from work, 274 00:15:44,840 --> 00:15:47,960 Speaker 2: don't have people who will pick them up, They're afraid. 275 00:15:48,440 --> 00:15:51,160 Speaker 2: There are all sorts of sort of cultural reasons why 276 00:15:51,200 --> 00:15:55,000 Speaker 2: some people are reticent to get a colonoscopy. So you 277 00:15:55,040 --> 00:15:57,880 Speaker 2: were saving a lot of lives with coll of Guard, 278 00:15:57,960 --> 00:16:00,400 Speaker 2: So thank you for that. But let's talk at the 279 00:16:00,440 --> 00:16:04,160 Speaker 2: screening age. Because the screening age was lowered to forty 280 00:16:04,200 --> 00:16:06,600 Speaker 2: five everyone a couple of years ago. You get your 281 00:16:06,640 --> 00:16:11,160 Speaker 2: baseline calling cancer screening at age forty five. Now, only 282 00:16:11,240 --> 00:16:13,960 Speaker 2: one fifth of the people between the ages of forty 283 00:16:13,960 --> 00:16:17,160 Speaker 2: five and fifty have been screened. So if you fall 284 00:16:17,200 --> 00:16:21,480 Speaker 2: into that category, or your parents do, or your siblings, 285 00:16:21,520 --> 00:16:24,880 Speaker 2: you know, please urge them to get screens starting at 286 00:16:24,880 --> 00:16:27,680 Speaker 2: age forty five. Why do you think that number is 287 00:16:27,760 --> 00:16:31,200 Speaker 2: so bad, Caitlin, I mean one fifth of the people. 288 00:16:31,280 --> 00:16:33,360 Speaker 2: Do you think that the word hasn't gotten out? Do 289 00:16:33,400 --> 00:16:36,480 Speaker 2: you think doctors aren't educated enough? What is happening? 290 00:16:36,760 --> 00:16:38,560 Speaker 3: I think that maybe some of it. But if you 291 00:16:38,600 --> 00:16:40,680 Speaker 3: think about a forty five year old sort of in 292 00:16:40,720 --> 00:16:43,840 Speaker 3: the peak of their career. They may have young children 293 00:16:43,880 --> 00:16:47,120 Speaker 3: at home, they may have aging parents that they're caring for. 294 00:16:47,520 --> 00:16:49,880 Speaker 3: There are a lot of competing demands at that time 295 00:16:49,920 --> 00:16:52,360 Speaker 3: of life where maybe taking a day off to get 296 00:16:52,360 --> 00:16:56,400 Speaker 3: a colonoscopy isn't as important as maybe the other demand's 297 00:16:56,440 --> 00:16:58,360 Speaker 3: right in front of you. And I don't think the 298 00:16:58,480 --> 00:17:02,560 Speaker 3: awareness about alternatives to colonoscopy guys really infiltrated maybe that 299 00:17:02,680 --> 00:17:05,360 Speaker 3: age group yet, so things like colon guard or other 300 00:17:05,440 --> 00:17:09,879 Speaker 3: stool based tests as being sort of easier, more convenient alternatives. 301 00:17:10,280 --> 00:17:13,520 Speaker 2: I told you I wanted justin Timberlake to do a 302 00:17:13,520 --> 00:17:18,240 Speaker 2: whole ad campaign called shit in a Box. Don't you 303 00:17:18,280 --> 00:17:22,000 Speaker 2: think that would be clever? But Kevin didn't really go 304 00:17:22,080 --> 00:17:27,439 Speaker 2: for it. I was going to say poop, but I 305 00:17:27,520 --> 00:17:31,600 Speaker 2: thought why not? Anyway, what do you think it is, 306 00:17:31,720 --> 00:17:35,320 Speaker 2: Kevin that people forty five to fifty aren't getting screened? 307 00:17:35,440 --> 00:17:39,040 Speaker 1: Let me ask how many people in the room here today? 308 00:17:39,240 --> 00:17:41,880 Speaker 1: Raise your hand if you knew the screening age drop 309 00:17:41,920 --> 00:17:43,359 Speaker 1: from age fifty to forty five. 310 00:17:43,840 --> 00:17:46,080 Speaker 2: Well, this is a very smart group of people. I 311 00:17:46,400 --> 00:17:46,719 Speaker 2: like that. 312 00:17:47,119 --> 00:17:49,359 Speaker 1: I'm really happy to hear that. You know, part of 313 00:17:49,400 --> 00:17:51,480 Speaker 1: it is a lot of people that in that age 314 00:17:51,480 --> 00:17:53,800 Speaker 1: group go to the doctor every three or four years, 315 00:17:53,880 --> 00:17:56,320 Speaker 1: and if their doc doesn't talk to them about colon 316 00:17:56,359 --> 00:18:00,600 Speaker 1: cancer screening, you've missed it. And then they're the urgency 317 00:18:00,840 --> 00:18:03,280 Speaker 1: just isn't there. People think it's not going to happen 318 00:18:03,320 --> 00:18:07,240 Speaker 1: to me. Well, one in sixteen or one in seventeen 319 00:18:07,320 --> 00:18:11,000 Speaker 1: people here will be diagnosed with calling cancer in your lifetime, 320 00:18:11,359 --> 00:18:14,320 Speaker 1: and if you don't get screened, the odds of being 321 00:18:14,440 --> 00:18:18,040 Speaker 1: detected late stage go up massively. 322 00:18:18,800 --> 00:18:22,320 Speaker 2: I want to ask you about lowering the screening age. 323 00:18:22,680 --> 00:18:25,320 Speaker 2: You know, if in fact this has become an epidemic. 324 00:18:25,800 --> 00:18:28,760 Speaker 2: It's the number one cancer killer of people under fifty, 325 00:18:29,200 --> 00:18:34,159 Speaker 2: and certainly anecdotally, almost every huge medical institution now is 326 00:18:34,200 --> 00:18:38,720 Speaker 2: an early onset collorectal cancer department. You know, I've heard 327 00:18:38,760 --> 00:18:41,480 Speaker 2: stories of people in their early thirties getting it. I 328 00:18:41,520 --> 00:18:44,640 Speaker 2: talked to an oncology fellow from Monta Fiori who told 329 00:18:44,640 --> 00:18:46,520 Speaker 2: me she had to tell a twenty one year old 330 00:18:46,560 --> 00:18:51,000 Speaker 2: boy that he had stage four calling cancer. No family history, 331 00:18:51,119 --> 00:18:54,919 Speaker 2: no Lynch syndrome or familio polyposis, which puts you at 332 00:18:54,960 --> 00:18:59,960 Speaker 2: an increased risk, So why can't we lower the screening age. 333 00:18:59,800 --> 00:19:03,600 Speaker 1: The essential challenge with screening is that it costs money, 334 00:19:04,119 --> 00:19:07,680 Speaker 1: and so there's always just two variables that really matter 335 00:19:08,280 --> 00:19:11,080 Speaker 1: is what is the impact of screening and what is 336 00:19:11,119 --> 00:19:14,720 Speaker 1: the cost or the harms of screening, And so there's 337 00:19:14,720 --> 00:19:18,720 Speaker 1: always a balance. And what happened was that the increase 338 00:19:18,760 --> 00:19:22,399 Speaker 1: in the number of people being diagnosed the prevalence of 339 00:19:22,440 --> 00:19:24,639 Speaker 1: the disease in forty five to forty nine year olds 340 00:19:24,720 --> 00:19:28,520 Speaker 1: went up enough so that that balance between the impact 341 00:19:28,520 --> 00:19:32,080 Speaker 1: of screening and the cost of screening tipped over to 342 00:19:32,359 --> 00:19:36,880 Speaker 1: be more impactful than screening people aged seventy to seventy five, 343 00:19:36,920 --> 00:19:40,000 Speaker 1: which was recommended, And so the main guideline group said, well, 344 00:19:40,000 --> 00:19:42,160 Speaker 1: if it's good for seventy to seventy five year olds, 345 00:19:42,800 --> 00:19:45,000 Speaker 1: it's good for forty five to forty nine year olds. 346 00:19:45,000 --> 00:19:48,240 Speaker 1: And when you think about it that impact, you look 347 00:19:48,280 --> 00:19:52,919 Speaker 1: at life years gained and if you're forty two and 348 00:19:52,960 --> 00:19:56,080 Speaker 1: you're diagnosed with stage one cancer, you get a lot 349 00:19:56,160 --> 00:19:59,520 Speaker 1: more gained there. You get forty or forty five years 350 00:19:59,560 --> 00:20:02,200 Speaker 1: of gain there. So if you drop it to forty, 351 00:20:02,520 --> 00:20:06,200 Speaker 1: now that that age group is at higher risk and 352 00:20:06,280 --> 00:20:08,679 Speaker 1: you can do it with the lower cost test. So 353 00:20:09,040 --> 00:20:13,480 Speaker 1: you take colguard is a five hundred dollars test, colonoscopy 354 00:20:13,720 --> 00:20:15,840 Speaker 1: depending on where you go, is a twenty five hundred 355 00:20:15,880 --> 00:20:21,040 Speaker 1: dollars test. Now colonoscopy. There just are not enough gastroinrologists 356 00:20:21,040 --> 00:20:23,240 Speaker 1: in the US to screen everybody. We have a fixed 357 00:20:23,280 --> 00:20:26,840 Speaker 1: capacity of five to six million tests. That's a problem 358 00:20:26,880 --> 00:20:28,959 Speaker 1: when you have fifty million people not up to date 359 00:20:29,080 --> 00:20:32,840 Speaker 1: with screening. We have the ability with a test like 360 00:20:32,920 --> 00:20:35,280 Speaker 1: colo guard or what's called the fit test, which I 361 00:20:35,280 --> 00:20:37,760 Speaker 1: think is a bad test, don't use it, but to 362 00:20:37,920 --> 00:20:41,480 Speaker 1: screen a lot more people, and to start screening at 363 00:20:41,520 --> 00:20:45,760 Speaker 1: maybe even thirty five and then maybe seven years later 364 00:20:45,880 --> 00:20:49,280 Speaker 1: gets screened, and then once you hit forty five, get 365 00:20:49,320 --> 00:20:52,840 Speaker 1: screened every three years, which is what Colguard is recommended for. 366 00:20:53,760 --> 00:20:57,000 Speaker 2: Judy, do you ever use the epic data to change 367 00:20:57,000 --> 00:21:00,439 Speaker 2: public policy? In other words, can you make a vincing 368 00:21:00,640 --> 00:21:04,240 Speaker 2: argument where you have all this information about a whole 369 00:21:04,280 --> 00:21:07,919 Speaker 2: slew of patients to then say this needs to be 370 00:21:08,000 --> 00:21:10,480 Speaker 2: done differently? You have, haven't you? In the past. 371 00:21:10,600 --> 00:21:13,040 Speaker 4: We did that with fentanyl very successfully. 372 00:21:13,400 --> 00:21:14,280 Speaker 2: Tell me about that. 373 00:21:14,920 --> 00:21:19,080 Speaker 4: Well, we found that fentanyl was being examined for tested 374 00:21:19,119 --> 00:21:21,680 Speaker 4: for when people came in with drug overdose to the 375 00:21:21,960 --> 00:21:25,360 Speaker 4: EDS five percent at the time, but it was responsible 376 00:21:25,400 --> 00:21:29,040 Speaker 4: for forty five percent of the deaths. And so we 377 00:21:29,200 --> 00:21:32,240 Speaker 4: published that and I don't know where it is now, 378 00:21:32,280 --> 00:21:35,600 Speaker 4: but several states were changing their policy and what the 379 00:21:35,720 --> 00:21:39,679 Speaker 4: requirements were for fentanyl testing. And if you look at 380 00:21:39,720 --> 00:21:42,560 Speaker 4: the studies that are coming out now on the number 381 00:21:42,600 --> 00:21:46,320 Speaker 4: of deaths from overdose, they've gone way down and the 382 00:21:46,359 --> 00:21:48,120 Speaker 4: big changes with ventanyl. 383 00:21:48,680 --> 00:21:53,120 Speaker 2: So you can envision Kevin right using data to convince 384 00:21:53,200 --> 00:21:55,800 Speaker 2: well right now, I think who knows what you can 385 00:21:55,880 --> 00:21:59,920 Speaker 2: convince Robert F. Kennedy Junior to do, But I mean 386 00:22:00,200 --> 00:22:03,840 Speaker 2: you can can see where you could use data to 387 00:22:03,920 --> 00:22:07,840 Speaker 2: make a compelling reason to change public policy. 388 00:22:08,520 --> 00:22:12,960 Speaker 1: And this is the power of epic. So our customers 389 00:22:13,080 --> 00:22:16,120 Speaker 1: are doing this. Health systems all over the country are 390 00:22:16,280 --> 00:22:20,760 Speaker 1: using I think it's called healthy Planet. Healthy Planet allows 391 00:22:20,800 --> 00:22:22,800 Speaker 1: you to take a look at a population within a 392 00:22:22,840 --> 00:22:26,280 Speaker 1: health system and identify people within a certain age bracket 393 00:22:26,320 --> 00:22:29,160 Speaker 1: that are not up to date with screening, and then 394 00:22:29,320 --> 00:22:34,159 Speaker 1: they're initiating an electronic order for all of their patients 395 00:22:34,320 --> 00:22:39,040 Speaker 1: who fit into that category, and it automatically then electronically 396 00:22:39,040 --> 00:22:45,040 Speaker 1: triggers US shipping collection kits to hundreds thousands, tens of thousands, 397 00:22:45,080 --> 00:22:48,919 Speaker 1: in one case four hundred thousand collection kits being shipped 398 00:22:48,960 --> 00:22:52,000 Speaker 1: out over a two week period. So the power of 399 00:22:52,119 --> 00:22:55,960 Speaker 1: EPIC is just amazing. I do believe if you fast 400 00:22:56,040 --> 00:22:58,359 Speaker 1: forward twenty years, because of the power of EPIC and 401 00:22:58,400 --> 00:23:01,119 Speaker 1: the power of Cologuard, you're going to have a story 402 00:23:01,119 --> 00:23:05,200 Speaker 1: of calling cancer moving clearly in the direction of cervical 403 00:23:05,240 --> 00:23:08,240 Speaker 1: cancer a disease of the people that aren't being screened, 404 00:23:08,240 --> 00:23:11,200 Speaker 1: and that will be the rare case, not the common case. 405 00:23:18,200 --> 00:23:20,280 Speaker 2: If you want to get smarter every morning with a 406 00:23:20,320 --> 00:23:23,600 Speaker 2: breakdown of the news and fascinating takes on health and 407 00:23:23,640 --> 00:23:27,000 Speaker 2: wellness and pop culture, sign up for our daily newsletter 408 00:23:27,080 --> 00:23:41,080 Speaker 2: wake Up Call by going to Katiecuric dot com. Wearable Technology. 409 00:23:41,119 --> 00:23:46,359 Speaker 2: I was curious about EPIC interfacing with wearable technology companies. Judy, 410 00:23:46,560 --> 00:23:49,560 Speaker 2: like the fitfit founders, recently announced the launch of a 411 00:23:49,640 --> 00:23:53,040 Speaker 2: new AI startup called Loofu that aims to help families 412 00:23:53,359 --> 00:23:57,159 Speaker 2: proactively monitor their health. Can you see a time where 413 00:23:57,280 --> 00:24:01,560 Speaker 2: you are pooling that information in individual information along with 414 00:24:01,600 --> 00:24:06,000 Speaker 2: EPIC information to help come up with sort of better 415 00:24:06,119 --> 00:24:10,280 Speaker 2: plans and even gleaning sort of more information about what's 416 00:24:10,320 --> 00:24:13,640 Speaker 2: happening in that patient that would then help the larger 417 00:24:13,840 --> 00:24:14,879 Speaker 2: patient population. 418 00:24:15,840 --> 00:24:17,880 Speaker 4: Let me ask the group here, they may know more 419 00:24:17,920 --> 00:24:20,480 Speaker 4: details about the limit. Are we already doing that with 420 00:24:21,560 --> 00:24:27,520 Speaker 4: these systems? Yeah? Okay, better answer than I could give. 421 00:24:27,560 --> 00:24:30,000 Speaker 2: They're saying, yes, come up and tell me what you're doing. 422 00:24:32,200 --> 00:24:35,320 Speaker 5: So through my chart and even directly if a patient 423 00:24:35,320 --> 00:24:38,600 Speaker 5: doesn't have my chart, organizations can enroll patients to be 424 00:24:38,640 --> 00:24:41,560 Speaker 5: able to send that data back in Many like Group 425 00:24:41,640 --> 00:24:44,120 Speaker 5: Health Cooperative here in town, allow patients to just link 426 00:24:44,200 --> 00:24:46,440 Speaker 5: up their own personal devices so that that data can 427 00:24:46,480 --> 00:24:48,520 Speaker 5: flow into the chart. They can see it in my chart, 428 00:24:48,840 --> 00:24:51,840 Speaker 5: and then if it becomes relevant for their care, their 429 00:24:51,840 --> 00:24:54,119 Speaker 5: providers can see it during a visit, or it can 430 00:24:54,160 --> 00:24:57,159 Speaker 5: be pulled into your point for that population monitoring and 431 00:24:57,160 --> 00:24:59,040 Speaker 5: seeing who are all of the patients using both the 432 00:24:59,080 --> 00:25:03,000 Speaker 5: clinician entered data as well as the patient entered data 433 00:25:03,040 --> 00:25:06,920 Speaker 5: from their devices to identify patients in potentially high risk 434 00:25:07,000 --> 00:25:08,560 Speaker 5: populations to drive that outreach. 435 00:25:09,960 --> 00:25:16,439 Speaker 2: What's your name, Trevor, Trevor? Thank you Trevor, because I 436 00:25:16,480 --> 00:25:19,119 Speaker 2: know you're working with like Apple Watch and a bunch 437 00:25:19,119 --> 00:25:21,919 Speaker 2: of other different tech companies. I can't keep you all 438 00:25:22,040 --> 00:25:24,159 Speaker 2: much longer. I could talk about this all day, and 439 00:25:24,200 --> 00:25:25,840 Speaker 2: I know you all have to work, But just a 440 00:25:25,880 --> 00:25:29,600 Speaker 2: couple more questions, Kevin, what about liquid biopsies? Okay, so 441 00:25:29,720 --> 00:25:34,320 Speaker 2: colonoscopes are too expensive, right, And I think a huge area, 442 00:25:34,560 --> 00:25:39,000 Speaker 2: exciting area of medical science is these blood tests that 443 00:25:39,119 --> 00:25:42,920 Speaker 2: will determine at a very cellular level. And Caitlin, I'd 444 00:25:42,960 --> 00:25:45,480 Speaker 2: love to hear your thoughts on this and indicate if 445 00:25:45,480 --> 00:25:49,280 Speaker 2: you have early stage cancers. Right, where are we in 446 00:25:49,320 --> 00:25:51,880 Speaker 2: the technology of those things. I know that there's some 447 00:25:51,960 --> 00:25:56,000 Speaker 2: on the market. Exact Sciences has one. How reliable are 448 00:25:56,000 --> 00:25:59,240 Speaker 2: they and could they be used? Like every time you 449 00:25:59,280 --> 00:26:02,359 Speaker 2: get a physical, you get a blood test and it 450 00:26:02,440 --> 00:26:05,200 Speaker 2: checks just like it checks your cholesterol. It could see 451 00:26:05,240 --> 00:26:07,399 Speaker 2: if you have any cancer cells in your blood. 452 00:26:07,880 --> 00:26:12,080 Speaker 1: I joined Exact Sciences seventeen years ago after a four 453 00:26:12,119 --> 00:26:15,880 Speaker 1: hour conversation with doctor David al Course at the Mail Clinic, 454 00:26:15,960 --> 00:26:19,600 Speaker 1: who had the idea for colo guard, but he also 455 00:26:19,720 --> 00:26:21,919 Speaker 1: had this far out there idea that you could do 456 00:26:21,960 --> 00:26:25,480 Speaker 1: a blood draw and look for what's called DNA methylation 457 00:26:26,600 --> 00:26:30,520 Speaker 1: patterns that occur in cancer and get shed into the blood. 458 00:26:30,840 --> 00:26:32,800 Speaker 1: And I thought that this is so far out there 459 00:26:32,800 --> 00:26:35,119 Speaker 1: it's going to take decades to do well. Here we 460 00:26:35,160 --> 00:26:38,119 Speaker 1: are two decades later, and we'd launch cancer Guard and 461 00:26:38,160 --> 00:26:41,720 Speaker 1: what cancer Guard would do in a population is detect 462 00:26:42,040 --> 00:26:46,560 Speaker 1: probably between thirty and fifty percent of cancers. So if 463 00:26:46,600 --> 00:26:49,479 Speaker 1: you ask yourself the question, if you could scream and 464 00:26:49,560 --> 00:26:52,320 Speaker 1: find thirty to fifty percent of cancers in the US 465 00:26:52,440 --> 00:26:57,000 Speaker 1: population today, would you well, yeah, because there's no treatment 466 00:26:57,080 --> 00:27:03,000 Speaker 1: that is effective as effective as earlier detection. Every week matters, 467 00:27:03,880 --> 00:27:07,840 Speaker 1: every month matters, and certainly a year matters. And so 468 00:27:08,280 --> 00:27:12,119 Speaker 1: I'll tell you a story. We launched cancer Guard and Alison, 469 00:27:12,280 --> 00:27:15,439 Speaker 1: who is our head of pr decided you wanted to 470 00:27:15,440 --> 00:27:17,880 Speaker 1: get the test, So she went online cancer guard dot 471 00:27:17,920 --> 00:27:21,199 Speaker 1: com got our test ordered by an online doctor. She 472 00:27:21,359 --> 00:27:23,879 Speaker 1: was the first person at exact to get the test. 473 00:27:24,560 --> 00:27:27,200 Speaker 1: She was the first person to have a positive result. 474 00:27:28,040 --> 00:27:31,760 Speaker 1: She had a twenty two centimeter ovarian cancer. Now she's 475 00:27:31,800 --> 00:27:38,080 Speaker 1: in her forties. It was stage one. Surgery alone treated it, 476 00:27:38,280 --> 00:27:43,879 Speaker 1: no chemotherapy, and her odds going forward are really good. 477 00:27:44,040 --> 00:27:49,639 Speaker 1: Earlier detection matters because almost all ovarian cancers are asymptomatic 478 00:27:49,720 --> 00:27:52,119 Speaker 1: until stage three or four, and by stage three or 479 00:27:52,200 --> 00:27:54,760 Speaker 1: four there are twenty thousand new cases every year in 480 00:27:54,880 --> 00:27:57,840 Speaker 1: twelve to fifteen thousand deaths. Your odds are really bad. 481 00:27:58,480 --> 00:28:03,399 Speaker 1: So can screening a whole population for all cancers? Yeah, 482 00:28:03,600 --> 00:28:06,080 Speaker 1: it matters because you don't have to screen that many 483 00:28:06,119 --> 00:28:09,720 Speaker 1: people to find one cancer. When one out of thirty 484 00:28:09,720 --> 00:28:12,720 Speaker 1: three people are walking around with cancer over age fifty 485 00:28:12,760 --> 00:28:13,399 Speaker 1: and don't know it. 486 00:28:13,760 --> 00:28:16,119 Speaker 2: So when do you think it will be truly ready 487 00:28:16,240 --> 00:28:20,680 Speaker 2: for prime time? That almost every cancer could be potentially 488 00:28:20,720 --> 00:28:23,320 Speaker 2: detected in a liquid biopsy or blood test. 489 00:28:24,280 --> 00:28:28,600 Speaker 1: The challenge is probably not the technology, It is the 490 00:28:29,080 --> 00:28:35,720 Speaker 1: regulatory framework, the reimbursement framework. Will Medicare pay for this technology. 491 00:28:35,880 --> 00:28:38,280 Speaker 1: We had to get a law passed by Congress, which 492 00:28:38,280 --> 00:28:41,360 Speaker 1: we did thankfully a month ago to make this happen. 493 00:28:41,440 --> 00:28:44,200 Speaker 1: That was a five year fight to make that happen. 494 00:28:44,840 --> 00:28:48,120 Speaker 1: And insurance companies don't like paying for screening because you're 495 00:28:48,320 --> 00:28:51,240 Speaker 1: spending money on a healthy population. So we'll have to 496 00:28:51,240 --> 00:28:54,080 Speaker 1: fight that fight. But we fought that fight with Coliguard, 497 00:28:54,280 --> 00:28:57,600 Speaker 1: and everybody initially said Coliguard is not good. You need 498 00:28:57,640 --> 00:29:02,520 Speaker 1: a colonoscopy. Eventually people came to the conclusion, Wow, col Guard, 499 00:29:02,520 --> 00:29:05,280 Speaker 1: it's pretty amazing. The same thing I believe will happen 500 00:29:05,280 --> 00:29:06,040 Speaker 1: with cancer good. 501 00:29:06,400 --> 00:29:09,680 Speaker 2: I think until the technology becomes available, the best thing 502 00:29:09,800 --> 00:29:13,760 Speaker 2: we need to remind people of are the symptoms of 503 00:29:13,840 --> 00:29:18,760 Speaker 2: colorectal cancer. Now, unfortunately, sometimes you're symptomatic when the cancer 504 00:29:18,840 --> 00:29:22,360 Speaker 2: is pretty advanced, but at the very least, knowing the 505 00:29:22,400 --> 00:29:26,320 Speaker 2: symptoms also allows you to go to a doctor right away. So, 506 00:29:26,560 --> 00:29:30,080 Speaker 2: Doctor Murphy, I thought you could just review the symptoms 507 00:29:30,120 --> 00:29:33,640 Speaker 2: of colorectal cancer so people will know if they have 508 00:29:33,800 --> 00:29:37,920 Speaker 2: any of this happening, to make an appointment immediately to 509 00:29:38,000 --> 00:29:38,800 Speaker 2: see your doctor. 510 00:29:39,360 --> 00:29:41,520 Speaker 3: Sure, this is an area that I've become just so 511 00:29:41,720 --> 00:29:45,600 Speaker 3: passionate about because I hear from many survivors and patients 512 00:29:45,640 --> 00:29:48,840 Speaker 3: that they experience symptoms for months and months and months 513 00:29:49,240 --> 00:29:52,320 Speaker 3: and get referred to doctor to doctor to doctor before 514 00:29:52,360 --> 00:29:56,000 Speaker 3: they finally get a diagnosis. And so the key symptoms 515 00:29:56,000 --> 00:29:58,320 Speaker 3: that you really want to look for are blood and stool, 516 00:29:58,440 --> 00:30:04,120 Speaker 3: or we call it hematic easia, any changes in your bowel, habits, diarrhea, 517 00:30:04,280 --> 00:30:06,400 Speaker 3: any sort of thing going on with your gut. And 518 00:30:06,440 --> 00:30:09,360 Speaker 3: sometimes these are pretty non specific symptoms or could be 519 00:30:09,400 --> 00:30:12,160 Speaker 3: related to a bunch of different things, but certainly you 520 00:30:12,240 --> 00:30:14,880 Speaker 3: know your body best and if you see something that's 521 00:30:14,960 --> 00:30:19,880 Speaker 3: different again, blood and stool diarrhea, change in bowel habits. 522 00:30:19,640 --> 00:30:23,240 Speaker 2: Or bloating. Can I just add to this fun list. Yeah, 523 00:30:23,280 --> 00:30:30,520 Speaker 2: symptoms like bloating, pain, unexplained weight loss, anemia right, if 524 00:30:30,520 --> 00:30:33,280 Speaker 2: you have anemia and another tests right. 525 00:30:33,320 --> 00:30:36,840 Speaker 3: And sometimes it's really easy to dismiss those symptoms, specifically 526 00:30:36,840 --> 00:30:39,880 Speaker 3: in women, because there are other reasons for anemia at 527 00:30:39,880 --> 00:30:43,240 Speaker 3: say mensies, you know, things like that, and so again, 528 00:30:43,520 --> 00:30:47,280 Speaker 3: just making being proactive. I hear so often, so many 529 00:30:47,320 --> 00:30:50,080 Speaker 3: times I saw my symptoms in my chart, for example, 530 00:30:50,160 --> 00:30:53,040 Speaker 3: but my doctor didn't notice the pattern for four years. 531 00:30:53,400 --> 00:30:55,840 Speaker 2: And sometimes you have to be pretty insistent, you know. 532 00:30:55,960 --> 00:30:59,520 Speaker 2: Doctors sometimes blow you off and say, oh, it's hemorrhoids 533 00:30:59,680 --> 00:31:02,680 Speaker 2: or it's nothing to be worried about. I think, particularly 534 00:31:02,680 --> 00:31:05,720 Speaker 2: if you're younger. So you need to really be your 535 00:31:05,760 --> 00:31:09,080 Speaker 2: own best advocate and be persistent, and if you're not 536 00:31:09,240 --> 00:31:13,520 Speaker 2: feeling right, go to another doctor or really continue to 537 00:31:13,640 --> 00:31:18,640 Speaker 2: search for answers because I think unfortunately some doctors aren't 538 00:31:18,680 --> 00:31:22,400 Speaker 2: as well versed in what's happening with early on set 539 00:31:22,440 --> 00:31:26,080 Speaker 2: colorectal cancer and in terms of preventing the disease. I 540 00:31:26,160 --> 00:31:29,040 Speaker 2: promised this my last question. I'm just trying to educate 541 00:31:29,080 --> 00:31:31,440 Speaker 2: everyone and help people because I care so much and 542 00:31:31,800 --> 00:31:33,880 Speaker 2: I would hate to see what happened to my husband 543 00:31:33,960 --> 00:31:38,560 Speaker 2: happen to any of you. It's just such a terrible loss. 544 00:31:39,120 --> 00:31:42,360 Speaker 2: So things that you can do, other than being vigilant 545 00:31:42,360 --> 00:31:46,880 Speaker 2: about screening and aware of symptoms are their preventative measures, Caitlin, 546 00:31:46,960 --> 00:31:49,440 Speaker 2: you can do to try to stave off this disease. 547 00:31:49,800 --> 00:31:52,000 Speaker 3: The other thing that goes with screening is knowing your 548 00:31:52,040 --> 00:31:55,280 Speaker 3: family history because oftentimes if you have a family history 549 00:31:55,280 --> 00:31:59,840 Speaker 3: of either color rectal cancer or the pre cancerous lesions adinoma, 550 00:32:00,120 --> 00:32:02,880 Speaker 3: you can get screened at an earlier age. And there 551 00:32:02,880 --> 00:32:05,000 Speaker 3: are a bunch of studies now showing that we could 552 00:32:05,040 --> 00:32:08,200 Speaker 3: prevent almost all of the early onset cancer is if 553 00:32:08,240 --> 00:32:10,920 Speaker 3: people had known that they had a family history in 554 00:32:11,040 --> 00:32:13,160 Speaker 3: garten screened at the appropriate age. 555 00:32:13,320 --> 00:32:16,760 Speaker 2: For example, my daughters both will be screened at thirty 556 00:32:17,280 --> 00:32:22,280 Speaker 2: one because that's ten years before their father was diagnosed. 557 00:32:22,280 --> 00:32:24,719 Speaker 2: He was diagnosed at forty one and died at forty 558 00:32:24,760 --> 00:32:28,760 Speaker 2: two after nine months. So it really is so important 559 00:32:28,800 --> 00:32:32,120 Speaker 2: to know your family history because then obviously insurance will 560 00:32:32,160 --> 00:32:34,960 Speaker 2: pay for it. Also, an active lifestyle, I mean I 561 00:32:35,000 --> 00:32:38,400 Speaker 2: think more and more we're hearing about the importance of exercise, 562 00:32:38,760 --> 00:32:41,959 Speaker 2: getting your heart rate up thirty minutes three times a day, 563 00:32:42,000 --> 00:32:44,640 Speaker 2: at least, that's what my interness just told me. Judy, 564 00:32:44,760 --> 00:32:49,920 Speaker 2: don't look at me like that. But no, three times 565 00:32:49,920 --> 00:32:53,160 Speaker 2: a week? Sorry? Did I say sorry? I am so 566 00:32:53,200 --> 00:32:57,040 Speaker 2: sorry three times a week? Sorry? No, wonder you looked 567 00:32:57,080 --> 00:33:00,960 Speaker 2: at me like that? And what about sort of limiting 568 00:33:01,000 --> 00:33:03,920 Speaker 2: your consumption of red meat and fruits and vegetables. I mean, 569 00:33:03,960 --> 00:33:07,000 Speaker 2: all these things to me can stave off all kinds 570 00:33:07,000 --> 00:33:09,120 Speaker 2: of cancer, right, Caitlin, Exactly. 571 00:33:09,200 --> 00:33:12,400 Speaker 3: It's not just colorectal cancer, but many other chronic health 572 00:33:12,400 --> 00:33:16,040 Speaker 3: conditions that are related to these lifestyle related risk factors. 573 00:33:16,280 --> 00:33:21,400 Speaker 3: Fiber fiber absolutely, taking insets or aspirin can reduce your risk. 574 00:33:21,600 --> 00:33:23,560 Speaker 3: There are many things that we're in control of in 575 00:33:23,640 --> 00:33:26,520 Speaker 3: terms of our diet and our lifestyle that might help 576 00:33:26,560 --> 00:33:27,080 Speaker 3: a little bit. 577 00:33:27,520 --> 00:33:30,120 Speaker 2: Well. I hope that everyone learns something today. I hope 578 00:33:30,160 --> 00:33:33,320 Speaker 2: you all now know that the screening age is forty five. 579 00:33:33,720 --> 00:33:36,880 Speaker 2: So anybody you know who's forty five, please tell them 580 00:33:37,200 --> 00:33:40,800 Speaker 2: it could save their life. And also in terms of 581 00:33:40,880 --> 00:33:44,280 Speaker 2: the symptoms, just be aware because as we know, it's 582 00:33:44,400 --> 00:33:48,120 Speaker 2: affecting younger and younger people, people in their twenties and thirties. 583 00:33:48,640 --> 00:33:51,320 Speaker 2: Pay attention to your body and if you have any questions, 584 00:33:51,360 --> 00:33:54,960 Speaker 2: definitely see a doctor. I feel like the nagging fish 585 00:33:54,960 --> 00:33:59,480 Speaker 2: wife of colorectal cancer, but I know how early detection 586 00:33:59,640 --> 00:34:03,160 Speaker 2: can say lives and that's why I feel so passionately 587 00:34:03,240 --> 00:34:03,760 Speaker 2: about it. 588 00:34:04,080 --> 00:34:07,000 Speaker 1: You could order cologuard dot com and then just drop 589 00:34:07,040 --> 00:34:09,759 Speaker 1: it off at our lab over there on trade. 590 00:34:09,480 --> 00:34:12,200 Speaker 2: But you have to be forty five. Yes, you have 591 00:34:12,239 --> 00:34:15,200 Speaker 2: to be forty five, but that's true. You can do that, 592 00:34:15,320 --> 00:34:17,120 Speaker 2: but talk to your doctor in any event. 593 00:34:16,960 --> 00:34:18,839 Speaker 1: Ghitting about dropping it off at the lab. 594 00:34:20,600 --> 00:34:24,640 Speaker 2: Well Kevin Conroy and Judy Faulkner, Doctor Caitlin Murphy, thank 595 00:34:24,680 --> 00:34:30,879 Speaker 2: you so much and so appreciate it. Thank you all 596 00:34:31,000 --> 00:34:41,600 Speaker 2: so much for coming. I'm so grateful. Thank you, Thanks 597 00:34:41,680 --> 00:34:44,560 Speaker 2: for listening. Everyone. If you have a question for me, 598 00:34:44,960 --> 00:34:47,440 Speaker 2: a subject you want us to cover, or you want 599 00:34:47,480 --> 00:34:50,840 Speaker 2: to share your thoughts about how you navigate this crazy world, 600 00:34:51,200 --> 00:34:54,440 Speaker 2: reach out send me a DM on Instagram. I would 601 00:34:54,480 --> 00:34:57,520 Speaker 2: love to hear from you. Next Question is a production 602 00:34:57,640 --> 00:35:02,000 Speaker 2: of iHeartMedia and Katie Kuric Media. The executive producers are 603 00:35:02,080 --> 00:35:06,200 Speaker 2: me Katie Couric and Courtney Ltz. Our supervising producer is 604 00:35:06,320 --> 00:35:11,280 Speaker 2: Ryan Martz, and our producers are Adriana Fazzio and Meredith Barnes. 605 00:35:12,000 --> 00:35:16,600 Speaker 2: Julian Weller composed our theme music. For more information about 606 00:35:16,600 --> 00:35:19,680 Speaker 2: today's episode, or to sign up for my newsletter, wake 607 00:35:19,760 --> 00:35:22,800 Speaker 2: Up Call, go to the description in the podcast app, 608 00:35:23,080 --> 00:35:26,359 Speaker 2: or visit us at Katiecuric dot com. 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