1 00:00:02,920 --> 00:00:05,400 Speaker 1: One of the most respected and best known oncologists in 2 00:00:05,400 --> 00:00:08,600 Speaker 1: the world is doctor David Aegis. He leads the Ellison 3 00:00:08,760 --> 00:00:11,800 Speaker 1: Medical Institute at the University of Southern California, where he's 4 00:00:11,800 --> 00:00:14,280 Speaker 1: also a Professor of Medicine. I had a chance racing 5 00:00:14,360 --> 00:00:16,320 Speaker 1: to sit down with him to talk about the high 6 00:00:16,400 --> 00:00:19,279 Speaker 1: incidence of cancer now and how one treats cancer in 7 00:00:19,320 --> 00:00:22,439 Speaker 1: modern life. Cancer has been around for thousands of years. 8 00:00:22,560 --> 00:00:25,600 Speaker 1: How does one get cancer? Is it genetic? Is it 9 00:00:25,680 --> 00:00:27,800 Speaker 1: a behavioral or environmental? 10 00:00:28,280 --> 00:00:28,560 Speaker 2: Yes? 11 00:00:28,960 --> 00:00:32,279 Speaker 3: Yes, and yes so there certainly are what we call 12 00:00:32,360 --> 00:00:37,120 Speaker 3: genetic predispositions. There's a several dozen genes that if you 13 00:00:37,159 --> 00:00:39,720 Speaker 3: inherit a faulty copy of it, your risk of cancer 14 00:00:39,760 --> 00:00:42,000 Speaker 3: is dramatically higher than the average population. 15 00:00:42,760 --> 00:00:47,199 Speaker 2: But cancer is a change in the genome. Sometimes behavior, sometimes. 16 00:00:46,720 --> 00:00:50,959 Speaker 3: Things you smoke, things you do can cause or induce 17 00:00:51,159 --> 00:00:52,080 Speaker 3: changes in DNA. 18 00:00:52,159 --> 00:00:53,880 Speaker 2: So you don't get it from your parents. 19 00:00:53,960 --> 00:00:56,760 Speaker 3: You can cause them through what you do. But there 20 00:00:56,800 --> 00:00:59,840 Speaker 3: has to be a change in DNA to get cancer. 21 00:01:00,120 --> 00:01:00,280 Speaker 2: Has it. 22 00:01:00,400 --> 00:01:02,000 Speaker 1: Nixon said that we're going to have a war on 23 00:01:02,040 --> 00:01:05,080 Speaker 1: cancer when he was president, and that was more than 24 00:01:05,120 --> 00:01:08,679 Speaker 1: fifty years ago. Have we really made progress in combating 25 00:01:08,680 --> 00:01:10,199 Speaker 1: cancer in the last fifty years. 26 00:01:10,360 --> 00:01:13,800 Speaker 3: The answer is we've made tremendous progress, but it's not enough. 27 00:01:14,280 --> 00:01:17,680 Speaker 3: So we now have immunetherapy right your own immune system 28 00:01:17,800 --> 00:01:21,440 Speaker 3: can attack the cancer. We now have molecularly targeted therapy 29 00:01:21,440 --> 00:01:24,480 Speaker 3: with every single patient in the country it's covered by Medicare, 30 00:01:24,560 --> 00:01:27,880 Speaker 3: can have their cancer DNA sequenced and we can potentially 31 00:01:28,000 --> 00:01:31,200 Speaker 3: use a pill to target a molecular alteration or an 32 00:01:31,200 --> 00:01:34,240 Speaker 3: on switch in his cancer and turn it off. All 33 00:01:34,280 --> 00:01:37,000 Speaker 3: of those by time, but we haven't cured the disease. 34 00:01:37,200 --> 00:01:39,960 Speaker 1: Now. Some people say they get full body scans, and 35 00:01:40,200 --> 00:01:42,680 Speaker 1: other people say that's not good for you because it's 36 00:01:42,760 --> 00:01:46,600 Speaker 1: not cost effective and also you might get too much radiation. 37 00:01:47,880 --> 00:01:49,680 Speaker 1: What do you think about full body scans as a 38 00:01:49,680 --> 00:01:51,200 Speaker 1: way to take whether you have cancer or not. 39 00:01:51,560 --> 00:01:54,000 Speaker 3: So there are MRIs now which don't have radiation to 40 00:01:54,040 --> 00:01:57,600 Speaker 3: do full body scans, so certainly looking on a scan 41 00:01:57,800 --> 00:02:02,680 Speaker 3: can be helpful. Many times one centimeter cancer is still 42 00:02:02,800 --> 00:02:06,200 Speaker 3: many one hundred million cells. So it has yet to 43 00:02:06,280 --> 00:02:09,639 Speaker 3: be proven that using anology like that with the exceptional 44 00:02:09,720 --> 00:02:12,920 Speaker 3: lung cancer where it clearly works in smokers, So smokers 45 00:02:12,960 --> 00:02:14,400 Speaker 3: every year should get a scan. 46 00:02:14,720 --> 00:02:17,840 Speaker 2: You catch it early. You can cure the lung cancer, but. 47 00:02:17,840 --> 00:02:20,200 Speaker 3: In other cancer really hasn't been shown to make a 48 00:02:20,240 --> 00:02:24,280 Speaker 3: dramatic difference. Breast cancer it does, lung cancer it does, 49 00:02:24,320 --> 00:02:25,799 Speaker 3: but many of the others it hasn't. 50 00:02:25,880 --> 00:02:26,280 Speaker 2: Yet. 51 00:02:26,520 --> 00:02:29,840 Speaker 3: We need better imaging technology, we need better blood tests, 52 00:02:30,200 --> 00:02:33,920 Speaker 3: but most of our resources are spent on treating and 53 00:02:33,960 --> 00:02:36,640 Speaker 3: figuring out new ways to understand the biology of cancer, 54 00:02:37,320 --> 00:02:41,160 Speaker 3: very little on the diagnosis and the identifying early of cancer. 55 00:02:41,520 --> 00:02:43,440 Speaker 1: Now, there are different types of cancer in terms of 56 00:02:43,480 --> 00:02:46,959 Speaker 1: its potential fatality, and you measure cancer by how long 57 00:02:47,080 --> 00:02:50,160 Speaker 1: one survives after five years? Is that more or less it? 58 00:02:50,280 --> 00:02:50,520 Speaker 2: Yeah? 59 00:02:50,520 --> 00:02:54,200 Speaker 1: I mean from diagnosis, cancer is categorized by having stage one, 60 00:02:54,360 --> 00:02:57,600 Speaker 1: stage two, stage three, stage four. What does that really mean? 61 00:02:58,280 --> 00:03:00,239 Speaker 3: They're all a little bit different depending on the type 62 00:03:00,280 --> 00:03:02,919 Speaker 3: of the cancer. Stage four means it's all over the body. 63 00:03:02,960 --> 00:03:06,280 Speaker 3: It's metastasized to different parts of the body. Stage one 64 00:03:06,440 --> 00:03:10,480 Speaker 3: means it's confined. Stage two normally means it's spread but 65 00:03:10,600 --> 00:03:14,080 Speaker 3: in a local area, and stage three means it's spread 66 00:03:14,160 --> 00:03:16,239 Speaker 3: a little bit more than local, but it's still in 67 00:03:16,280 --> 00:03:18,720 Speaker 3: half of the body. And again the stage four is 68 00:03:18,760 --> 00:03:22,520 Speaker 3: all over. So as you go up in stages survival goes. 69 00:03:22,320 --> 00:03:24,120 Speaker 2: Down and outcome goes down. 70 00:03:24,200 --> 00:03:26,560 Speaker 1: Now I've been told that the cancer that is the 71 00:03:26,600 --> 00:03:30,359 Speaker 1: most survivable is breast cancer if detected in stage one 72 00:03:30,520 --> 00:03:32,840 Speaker 1: I think a ninety eight percent survival rate or something 73 00:03:32,880 --> 00:03:36,480 Speaker 1: like that, and we detect this by having mammograms. Right, 74 00:03:36,880 --> 00:03:39,560 Speaker 1: So what should men get? Should men get a PSA 75 00:03:39,680 --> 00:03:42,480 Speaker 1: every year which helps with prostate cancer detection? 76 00:03:43,040 --> 00:03:43,400 Speaker 2: Why not? 77 00:03:43,560 --> 00:03:46,680 Speaker 3: I mean, so there's an argument that you know, well, 78 00:03:46,800 --> 00:03:49,119 Speaker 3: if you find a PSA test and PSA is high, 79 00:03:49,160 --> 00:03:53,080 Speaker 3: we're doing over number, too many biopses, too many prostate surgeries, 80 00:03:53,080 --> 00:03:53,800 Speaker 3: and too many reiation. 81 00:03:53,920 --> 00:03:54,840 Speaker 2: And that's true. 82 00:03:55,240 --> 00:03:58,680 Speaker 3: So finding a cancer doesn't necessarily mean you need to 83 00:03:58,760 --> 00:04:00,840 Speaker 3: treat it, which I know which is a weird statement. 84 00:04:01,320 --> 00:04:04,840 Speaker 3: But there are many cancers, some indolent prostate cancer, indolent 85 00:04:04,880 --> 00:04:09,520 Speaker 3: thyroid cancer, some indolent breast cancer, so that don't necessarily 86 00:04:09,560 --> 00:04:12,960 Speaker 3: need aggressive treatments but can be followed. So we call 87 00:04:13,000 --> 00:04:16,840 Speaker 3: that active surveillance. So we need to develop better guidelines, 88 00:04:16,880 --> 00:04:20,200 Speaker 3: better ways of framing or talking about them. I say, cancer, 89 00:04:20,880 --> 00:04:24,000 Speaker 3: you panic, I want treatment, But in many of them 90 00:04:24,160 --> 00:04:27,080 Speaker 3: there's no benefit to doing treatment and lots of side effects. 91 00:04:27,279 --> 00:04:30,080 Speaker 1: Now, some people say that the incidence of cancer, which 92 00:04:30,120 --> 00:04:31,960 Speaker 1: is to say people getting it is higher than it 93 00:04:32,040 --> 00:04:33,960 Speaker 1: was twenty or thirty or forty years ago. Is that 94 00:04:34,000 --> 00:04:36,480 Speaker 1: because detection is better than it used to be. 95 00:04:36,520 --> 00:04:39,359 Speaker 3: All right, So the dirty secret is we have no idea. 96 00:04:39,800 --> 00:04:42,560 Speaker 3: We don't collect data well in the United States. What 97 00:04:42,680 --> 00:04:45,159 Speaker 3: we do know is that there's not a dramatic rise 98 00:04:45,200 --> 00:04:47,160 Speaker 3: in cancer in the United States. But what we are 99 00:04:47,200 --> 00:04:50,880 Speaker 3: seeing is a troubling trend is younger people are getting 100 00:04:50,880 --> 00:04:51,680 Speaker 3: more cancers. 101 00:04:51,720 --> 00:04:52,240 Speaker 2: That's real. 102 00:04:52,640 --> 00:04:56,440 Speaker 3: We have no idea why, but we are seeing younger people, 103 00:04:56,560 --> 00:05:00,119 Speaker 3: more colon cancer, more breast cancer, and other cancers in 104 00:05:00,160 --> 00:05:03,640 Speaker 3: younger individuals twenty thirty forty year olds that we never 105 00:05:03,760 --> 00:05:04,240 Speaker 3: used to see. 106 00:05:04,279 --> 00:05:06,359 Speaker 1: What do you think could possibly be the cause? I 107 00:05:06,360 --> 00:05:08,279 Speaker 1: assume pollution or the environment. 108 00:05:08,279 --> 00:05:11,520 Speaker 3: In some ways, we assume it's either something in the environment. 109 00:05:11,640 --> 00:05:16,720 Speaker 3: We assume its diet, it's ultra process foods, it's microplastics, 110 00:05:16,760 --> 00:05:21,039 Speaker 3: it changes in the microbiome. We really don't know until 111 00:05:21,080 --> 00:05:23,760 Speaker 3: we start to collect data we can, and we don't 112 00:05:23,760 --> 00:05:27,080 Speaker 3: really have a data collection system unfortunately in the United States. 113 00:05:27,160 --> 00:05:31,200 Speaker 1: So when younger people get cancer, what is their prognosis 114 00:05:31,240 --> 00:05:33,360 Speaker 1: these days? And what can they really do to deal 115 00:05:33,400 --> 00:05:34,000 Speaker 1: with cancer. 116 00:05:34,520 --> 00:05:37,280 Speaker 3: So it's interesting all of the regimens we have surgery, 117 00:05:37,320 --> 00:05:41,440 Speaker 3: chemotherapy were designed around people who were older with cancer. 118 00:05:42,080 --> 00:05:45,000 Speaker 3: I do think the biology of younger cancer is very different. 119 00:05:45,040 --> 00:05:46,040 Speaker 2: So first of all, we need to. 120 00:05:45,960 --> 00:05:50,000 Speaker 3: Develop regimens meant for younger people. That being said, we 121 00:05:50,080 --> 00:05:53,440 Speaker 3: also have to start screening younger people for cancer. The 122 00:05:53,480 --> 00:05:56,839 Speaker 3: age of colon cancer screening dropped from fifty to forty 123 00:05:56,880 --> 00:06:00,960 Speaker 3: five recently, and it probably should drop even further. So 124 00:06:01,000 --> 00:06:04,520 Speaker 3: if you have any family history of cancer, we probably 125 00:06:04,520 --> 00:06:06,080 Speaker 3: should start screening earlier. 126 00:06:06,160 --> 00:06:13,800 Speaker 1: So the best way somebody can prevent cancer is eat well, exercise, 127 00:06:15,120 --> 00:06:18,520 Speaker 1: get an annual check up, and what else can you 128 00:06:18,560 --> 00:06:18,919 Speaker 1: do well? 129 00:06:18,920 --> 00:06:20,600 Speaker 2: I think there's a cadre of blood tests. You should 130 00:06:20,600 --> 00:06:21,839 Speaker 2: get an irregular cadence. 131 00:06:22,240 --> 00:06:24,599 Speaker 3: I think that you need to talk to your doctor 132 00:06:24,640 --> 00:06:28,719 Speaker 3: about potential medicines that can lower risk. Things like aspirins, 133 00:06:28,760 --> 00:06:32,080 Speaker 3: statins and other things can lower cancer risk in the 134 00:06:32,160 --> 00:06:35,360 Speaker 3: right individuals. If you have a family history or others, 135 00:06:35,920 --> 00:06:38,400 Speaker 3: and it's know your family history, figure out what Aunt 136 00:06:38,480 --> 00:06:41,560 Speaker 3: Marge died from and really understand because many of those 137 00:06:41,560 --> 00:06:44,800 Speaker 3: family histories carry down from person to person. Important to 138 00:06:44,800 --> 00:06:47,560 Speaker 3: know in today's world. I can sequence your genome literally 139 00:06:47,600 --> 00:06:50,320 Speaker 3: overnight and know if you would inherited the gene that 140 00:06:50,440 --> 00:06:53,120 Speaker 3: gave you higher risk for those diseases, and then we 141 00:06:53,240 --> 00:06:56,080 Speaker 3: get a target of prevention based on that gene that 142 00:06:56,160 --> 00:06:56,520 Speaker 3: you have. 143 00:06:56,839 --> 00:07:01,080 Speaker 1: Well, should everybody get their geneme tested or because is 144 00:07:01,120 --> 00:07:02,040 Speaker 1: it expensive to do that? 145 00:07:02,120 --> 00:07:04,720 Speaker 3: You can look at all the cancer risk genes for 146 00:07:04,839 --> 00:07:07,120 Speaker 3: about one hundred dollars in today's world, and I think 147 00:07:07,160 --> 00:07:07,760 Speaker 3: it's important. 148 00:07:07,800 --> 00:07:08,760 Speaker 2: Knowledge is power. 149 00:07:09,279 --> 00:07:13,120 Speaker 3: Okay, Remember the generation before us, if they had cancer 150 00:07:13,240 --> 00:07:15,400 Speaker 3: was considered a sign of weakness, and many never talked 151 00:07:15,440 --> 00:07:18,840 Speaker 3: about it. So getting a real accurate family history sometimes 152 00:07:18,960 --> 00:07:19,840 Speaker 3: is really hard. 153 00:07:20,040 --> 00:07:22,280 Speaker 1: I've been told that if a man lives long enough, 154 00:07:22,360 --> 00:07:25,280 Speaker 1: he will get prostaate cancer. Now, if you're eighty or older, 155 00:07:25,320 --> 00:07:27,600 Speaker 1: you're going to die of something else, probably, But is 156 00:07:27,600 --> 00:07:30,120 Speaker 1: that true that every man, probably, if he lives long enough, 157 00:07:30,160 --> 00:07:31,240 Speaker 1: will get prostaate cancer. 158 00:07:31,800 --> 00:07:35,680 Speaker 3: So there's no question that the indulin prostate cancers are 159 00:07:35,800 --> 00:07:37,760 Speaker 3: very common. If I walk through the streets of New 160 00:07:37,840 --> 00:07:41,560 Speaker 3: York City and bib seed everybody over sixty, I'd find, 161 00:07:41,720 --> 00:07:44,600 Speaker 3: you know, thirty five or so prostate cancers. 162 00:07:44,960 --> 00:07:47,000 Speaker 2: But again, most of them won't cause a problem. 163 00:07:47,280 --> 00:07:49,720 Speaker 3: What we know is we can grade the aggressivity of 164 00:07:49,800 --> 00:07:51,720 Speaker 3: the cancer and know which are the ones that are 165 00:07:51,720 --> 00:07:54,240 Speaker 3: going to cause a problem. We have a blood test 166 00:07:54,280 --> 00:07:57,840 Speaker 3: called PSA that is very good based on the slope 167 00:07:57,880 --> 00:08:00,720 Speaker 3: of the curve, the change in the number, it's starting 168 00:08:00,760 --> 00:08:03,840 Speaker 3: to identify which are the more aggressive ones. Doing a 169 00:08:03,880 --> 00:08:08,120 Speaker 3: biopsy is not a horrible procedure, and under the microscope 170 00:08:08,240 --> 00:08:10,360 Speaker 3: we can say, hey, this is going to be bad 171 00:08:10,560 --> 00:08:12,960 Speaker 3: or don't worry about this one. So we're getting a 172 00:08:13,000 --> 00:08:15,080 Speaker 3: lot better about dealing with them now. 173 00:08:15,120 --> 00:08:19,800 Speaker 1: At Johns Hopkins, where you trained, a famous procedure was 174 00:08:19,840 --> 00:08:22,800 Speaker 1: developed for prostate cancer. They kind of minimize some of 175 00:08:22,800 --> 00:08:26,520 Speaker 1: the adverse effects of a prostate surgery. Is that a 176 00:08:26,560 --> 00:08:29,560 Speaker 1: good thing to do? If you're going to prostate surgery? 177 00:08:29,800 --> 00:08:31,760 Speaker 1: Have this kind of procedure. It's done by a computer 178 00:08:32,160 --> 00:08:34,400 Speaker 1: and it's a robot. I guess i'd should say that 179 00:08:34,400 --> 00:08:35,720 Speaker 1: does the actual surgery. 180 00:08:35,760 --> 00:08:37,760 Speaker 2: Patrick Walsh was a rock star. 181 00:08:38,000 --> 00:08:41,760 Speaker 3: Patrick Walls was a young urologist at Hopkins who at 182 00:08:41,800 --> 00:08:43,920 Speaker 3: the time people took out the whole prostant and the 183 00:08:43,920 --> 00:08:47,320 Speaker 3: problem is the nerve looked like the prostate tissue. So 184 00:08:47,320 --> 00:08:50,480 Speaker 3: they were taking out the nerve and they had continence problems. 185 00:08:50,480 --> 00:08:52,040 Speaker 2: Impotency problem and all the men. 186 00:08:52,600 --> 00:08:57,880 Speaker 3: So Patrick looked in kids who had basically died during childbirth, 187 00:08:58,040 --> 00:09:01,360 Speaker 3: young kids and was able in those kids to know 188 00:09:01,400 --> 00:09:04,240 Speaker 3: where the nerve was and develop what's called the nerve 189 00:09:04,280 --> 00:09:08,800 Speaker 3: sparing prostatectomy and started to pioneer that approach. Now with 190 00:09:08,880 --> 00:09:11,720 Speaker 3: a robot, we can go on through a small incision, 191 00:09:12,000 --> 00:09:14,160 Speaker 3: blow up the abdomen so there's a high pressure so 192 00:09:14,160 --> 00:09:17,200 Speaker 3: there's almost no bleeding. And instead of looking down a 193 00:09:17,200 --> 00:09:19,480 Speaker 3: cave where the prostate is deep in the abdomen, you 194 00:09:19,520 --> 00:09:20,240 Speaker 3: blow it up on a. 195 00:09:20,200 --> 00:09:22,920 Speaker 2: Big sony screen, great visualization. 196 00:09:23,040 --> 00:09:26,479 Speaker 3: You could take out that prostate and have better outcomes 197 00:09:26,480 --> 00:09:29,600 Speaker 3: in terms of side effects, and the patient literally can 198 00:09:29,640 --> 00:09:30,680 Speaker 3: go home the same day. 199 00:09:30,800 --> 00:09:33,040 Speaker 1: So I know you do things other than on college 200 00:09:33,080 --> 00:09:36,160 Speaker 1: sheep and tell us what does the Ellison Institute do. 201 00:09:36,800 --> 00:09:40,280 Speaker 3: We are at Technology Application Institute, so we develop drugs. 202 00:09:40,360 --> 00:09:43,120 Speaker 3: We now have a large AI group that can design 203 00:09:43,240 --> 00:09:49,400 Speaker 3: molecules targeting areas of cancer. So we're designing a molecule 204 00:09:49,400 --> 00:09:53,120 Speaker 3: that hits part of the prostate cancer signaling cascade to 205 00:09:53,160 --> 00:09:56,240 Speaker 3: block it. That'll go into the clinic next year. We 206 00:09:56,320 --> 00:09:58,760 Speaker 3: have a breast cancer molecule that we're made with AI. 207 00:09:58,960 --> 00:10:02,160 Speaker 3: So with AI, we can actually use AI to what 208 00:10:02,240 --> 00:10:04,400 Speaker 3: is the structure of the target and then what is 209 00:10:04,440 --> 00:10:06,920 Speaker 3: the structure of the molecule, And what would have taken 210 00:10:07,040 --> 00:10:10,280 Speaker 3: many years, we literally can do it in months is 211 00:10:10,400 --> 00:10:13,240 Speaker 3: design a molecule to go into the clinic. So that's 212 00:10:13,280 --> 00:10:17,120 Speaker 3: been a tremendous advance for us and enable us to 213 00:10:17,160 --> 00:10:19,560 Speaker 3: have a whole pipeline of drugs to treat cancer. 214 00:10:19,840 --> 00:10:22,200 Speaker 1: Now I am now seventy five years old, and when 215 00:10:22,240 --> 00:10:24,400 Speaker 1: you get to be seventy five, you worry about your 216 00:10:24,400 --> 00:10:27,360 Speaker 1: body collapsing and not working. You also worry about your 217 00:10:27,520 --> 00:10:31,280 Speaker 1: mind not working so much so on Alzheimer's, what's the 218 00:10:31,320 --> 00:10:34,599 Speaker 1: best way for me to prevent myself from getting Alzheimer's 219 00:10:34,720 --> 00:10:36,040 Speaker 1: or some kind of dementia. 220 00:10:36,120 --> 00:10:38,520 Speaker 3: So one of the largest studies ever done in Europe, 221 00:10:38,679 --> 00:10:41,560 Speaker 3: what they showed is every year you delay retirement, you 222 00:10:41,640 --> 00:10:43,920 Speaker 3: reduce the incidents of Alzheimer's by three percent. 223 00:10:44,480 --> 00:10:46,600 Speaker 2: So it's the old adage you don't use it, you 224 00:10:46,720 --> 00:10:47,120 Speaker 2: lose it. 225 00:10:47,600 --> 00:10:51,400 Speaker 3: So keeping your brain engaged making yourself uncomfortable, which you 226 00:10:51,440 --> 00:10:54,320 Speaker 3: are good at doing with your myriad of activities, is 227 00:10:54,440 --> 00:10:56,080 Speaker 3: fantastic And I love that. 228 00:10:56,280 --> 00:10:59,120 Speaker 1: Now you've had a lot of very famous patients, like 229 00:10:59,240 --> 00:11:03,200 Speaker 1: Steve Jobs. Our famous patients are more difficult to deal 230 00:11:03,240 --> 00:11:05,439 Speaker 1: with than the average person because they have big egos, 231 00:11:05,480 --> 00:11:07,560 Speaker 1: or they're easier to deal with because they just say, 232 00:11:07,720 --> 00:11:09,280 Speaker 1: take care of this problem and I'll trust you. 233 00:11:09,760 --> 00:11:12,000 Speaker 3: They're all different. I mean, you know, there are people 234 00:11:12,120 --> 00:11:14,560 Speaker 3: I take care of who are amazing. You know, Jack 235 00:11:14,640 --> 00:11:16,400 Speaker 3: Kemp was a remarkable individual. 236 00:11:16,600 --> 00:11:19,520 Speaker 2: And when I first started care of him, he goes, 237 00:11:19,559 --> 00:11:20,959 Speaker 2: you need to do me a favor and I want 238 00:11:20,960 --> 00:11:21,880 Speaker 2: you to come to my house. 239 00:11:22,559 --> 00:11:25,200 Speaker 3: And I go, okay, thinking we're going to discuss his 240 00:11:25,280 --> 00:11:27,920 Speaker 3: case and what's going on. And what he did was 241 00:11:27,960 --> 00:11:30,440 Speaker 3: he had his whole family sitting in a long table 242 00:11:30,840 --> 00:11:33,600 Speaker 3: and he had his church come and serve them dinner. 243 00:11:33,920 --> 00:11:36,440 Speaker 3: He wanted me to see who he was and he said, listen, 244 00:11:36,679 --> 00:11:39,360 Speaker 3: you make all the decisions. I trust you, but I 245 00:11:39,400 --> 00:11:42,040 Speaker 3: want you to understand my value system. And it really 246 00:11:42,120 --> 00:11:45,160 Speaker 3: was a beautiful way of approaching things. And it's a 247 00:11:45,160 --> 00:11:47,560 Speaker 3: privilege to take care of anybody that they put their 248 00:11:47,600 --> 00:11:49,320 Speaker 3: health their future into my hands. 249 00:11:49,679 --> 00:11:52,160 Speaker 1: Let's talk about your own background. So where were you born? 250 00:11:52,720 --> 00:11:53,960 Speaker 2: Baltimore, Maryland? 251 00:11:54,080 --> 00:11:57,040 Speaker 1: Balmer as they call were okay, And was your father 252 00:11:57,120 --> 00:11:57,880 Speaker 1: at Hopkins. 253 00:11:58,600 --> 00:12:01,840 Speaker 3: My father went to Hopkins Undergraduate and University of Maryland 254 00:12:01,880 --> 00:12:02,520 Speaker 3: Medical School. 255 00:12:02,679 --> 00:12:05,760 Speaker 1: Where did you go to school in Baltimore or somewhere else? 256 00:12:06,320 --> 00:12:10,080 Speaker 3: I went to school in Philadelphia. My father had moved 257 00:12:10,120 --> 00:12:13,400 Speaker 3: as a professor. He was initially drafted from Baltimore. 258 00:12:12,960 --> 00:12:13,600 Speaker 2: To the Air Force. 259 00:12:13,640 --> 00:12:16,120 Speaker 3: We went to San Antonio, Texas, and I went to 260 00:12:16,200 --> 00:12:18,440 Speaker 3: Saint Mary's Hall. I was the first one of the 261 00:12:18,480 --> 00:12:20,560 Speaker 3: first two boys that went into a school that went 262 00:12:20,600 --> 00:12:23,880 Speaker 3: from nursery all the way through college. And you know, 263 00:12:23,880 --> 00:12:25,840 Speaker 3: I still remember first grade. I was one of two 264 00:12:25,920 --> 00:12:29,040 Speaker 3: boys in the school. Then we went to Philadelphia, and 265 00:12:29,080 --> 00:12:32,560 Speaker 3: then I went undergraduate to Princeton and med school at 266 00:12:32,640 --> 00:12:36,720 Speaker 3: University of Pennsylvania, and then internship in residency at Johns Hopkins, 267 00:12:37,000 --> 00:12:39,720 Speaker 3: fellowship at Sloan Kettering, and then to the NIH for 268 00:12:39,760 --> 00:12:40,400 Speaker 3: a few years. 269 00:12:40,760 --> 00:12:42,840 Speaker 1: And so did you know from the beginning you wanted 270 00:12:42,840 --> 00:12:45,719 Speaker 1: to be an oncologist or a medical researcher? When did 271 00:12:45,720 --> 00:12:46,840 Speaker 1: you realize what you wanted to do? 272 00:12:47,280 --> 00:12:49,480 Speaker 2: Well? I was a geek as a kid. You know. 273 00:12:49,520 --> 00:12:51,960 Speaker 3: It was about ten years after Sputnik and I did 274 00:12:51,960 --> 00:12:54,920 Speaker 3: this little competition where you had to do this test, 275 00:12:55,440 --> 00:12:57,360 Speaker 3: and we were one of four kids chosen and we 276 00:12:57,400 --> 00:13:00,640 Speaker 3: went lab to lab across the country where we kind of, 277 00:13:00,760 --> 00:13:02,480 Speaker 3: you know, got to tinker in the labs. And I 278 00:13:02,600 --> 00:13:05,280 Speaker 3: loved being in the lab, and so as I got older, 279 00:13:05,320 --> 00:13:08,280 Speaker 3: I kind of realized that I wanted to apply the 280 00:13:08,360 --> 00:13:09,320 Speaker 3: lab to patients. 281 00:13:09,400 --> 00:13:11,679 Speaker 2: I couldn't just be in the lab. Oncology. 282 00:13:11,760 --> 00:13:14,160 Speaker 3: Cancer was an amazing place because something in the lab 283 00:13:14,200 --> 00:13:17,640 Speaker 3: could be translated right away to patients. Patients were willing 284 00:13:17,640 --> 00:13:19,520 Speaker 3: to take the risk. I was willing to take the risk. 285 00:13:20,080 --> 00:13:21,920 Speaker 3: So that got me into cancer. 286 00:13:22,040 --> 00:13:25,200 Speaker 1: So today, how many people work at the institute. 287 00:13:24,760 --> 00:13:27,720 Speaker 2: Now about two hundred and fifty. 288 00:13:26,840 --> 00:13:29,920 Speaker 1: And so you're teaching at the medical school and also 289 00:13:30,000 --> 00:13:35,439 Speaker 1: running the institute, and you also do clinical work for patients. Yeah, 290 00:13:35,520 --> 00:13:37,600 Speaker 1: so how do you take care of your own health? 291 00:13:37,960 --> 00:13:39,600 Speaker 2: You know, you have to set priorities and you have 292 00:13:39,640 --> 00:13:42,240 Speaker 2: to learn to say no. So I'd be at home 293 00:13:42,320 --> 00:13:43,560 Speaker 2: every day of the week for dinner. 294 00:13:43,720 --> 00:13:45,920 Speaker 3: I don't go out. I say no to a lot 295 00:13:45,960 --> 00:13:48,920 Speaker 3: of things my business. It's easy to say no, Oh, 296 00:13:49,000 --> 00:13:50,800 Speaker 3: I have a patient emergency, I can't go to this, 297 00:13:50,880 --> 00:13:52,960 Speaker 3: I can't go to that. It makes it very easy 298 00:13:52,960 --> 00:13:56,640 Speaker 3: to say no. I really try to make my schedule regular. 299 00:13:57,120 --> 00:13:59,600 Speaker 3: You know, it turns out if you snack in between 300 00:13:59,600 --> 00:14:02,880 Speaker 3: a meal the next day, your body expects that snack 301 00:14:02,920 --> 00:14:05,920 Speaker 3: and insulin corts. All the stress hormones go up, You 302 00:14:06,040 --> 00:14:09,920 Speaker 3: lose productivity, your metabolism goes down, you gain weight. It's 303 00:14:10,040 --> 00:14:13,040 Speaker 3: really tough on the body. So I'm very regular with 304 00:14:13,160 --> 00:14:15,600 Speaker 3: when I get up, when I eat, when I go 305 00:14:15,679 --> 00:14:18,800 Speaker 3: to bed, and that makes an enormous impact on your 306 00:14:18,840 --> 00:14:19,600 Speaker 3: overall health. 307 00:14:19,720 --> 00:14:22,560 Speaker 1: Well, you have two children. Were you able to convince 308 00:14:22,600 --> 00:14:23,680 Speaker 1: them to go to medical school? 309 00:14:23,840 --> 00:14:26,480 Speaker 3: One of them went to medical school, the youngest I 310 00:14:26,520 --> 00:14:27,560 Speaker 3: didn't convince him. 311 00:14:28,000 --> 00:14:30,920 Speaker 2: You know, he wasn't going to go. He was, you know, 312 00:14:30,960 --> 00:14:33,040 Speaker 2: went to MIT. Was a total. 313 00:14:32,720 --> 00:14:37,200 Speaker 3: Techie, totally into programming, AI and data. And then COVID 314 00:14:37,240 --> 00:14:40,200 Speaker 3: happened and he was privileged to work for a group 315 00:14:40,280 --> 00:14:42,560 Speaker 3: analyzing data on COVID and trying to help with some 316 00:14:42,600 --> 00:14:45,280 Speaker 3: of the COVID software for some of the clinical trials, 317 00:14:45,280 --> 00:14:47,920 Speaker 3: and he kind of learned, you know, I want to 318 00:14:47,920 --> 00:14:49,040 Speaker 3: do things to help people. 319 00:14:49,080 --> 00:14:50,400 Speaker 2: I want to do things that matter. 320 00:14:50,600 --> 00:14:53,800 Speaker 1: So what about some free medical advice? What about a statin? 321 00:14:53,840 --> 00:14:57,040 Speaker 1: Shouldn't everybody take a statin? There for a certain age, they. 322 00:14:56,960 --> 00:15:01,440 Speaker 3: Are remarkable drugs lowering LDL, which is a surrogate many 323 00:15:01,520 --> 00:15:04,720 Speaker 3: camps for inflammation in the body. Lowering that LDL has 324 00:15:04,720 --> 00:15:07,480 Speaker 3: a benefit in heart disease, and there is a risk 325 00:15:07,520 --> 00:15:11,080 Speaker 3: reduction in cancer. And so I certainly am a believer 326 00:15:11,200 --> 00:15:13,800 Speaker 3: if you have a family history of heart disease or cancer, 327 00:15:14,200 --> 00:15:17,000 Speaker 3: that you want an LDL in the more acceptable range 328 00:15:17,040 --> 00:15:18,200 Speaker 3: or the lower risk range. 329 00:15:18,200 --> 00:15:18,960 Speaker 2: And it makes sense. 330 00:15:19,080 --> 00:15:21,440 Speaker 1: What about red meat. I don't eat red meat, but 331 00:15:21,480 --> 00:15:22,800 Speaker 1: I don't know why that's going to make me live 332 00:15:22,840 --> 00:15:24,520 Speaker 1: longer or not. Is red meat healthy for you? 333 00:15:25,000 --> 00:15:27,880 Speaker 3: Well, in a large study in Europe, they show that 334 00:15:27,920 --> 00:15:29,120 Speaker 3: three servings a week. 335 00:15:28,960 --> 00:15:30,080 Speaker 2: Had no health detriment. 336 00:15:30,560 --> 00:15:33,000 Speaker 3: There is a health benefit in several studies with grass 337 00:15:33,000 --> 00:15:33,600 Speaker 3: fed beef. 338 00:15:33,960 --> 00:15:36,840 Speaker 2: So it's the key is moderation. Don't eat process meat. 339 00:15:36,960 --> 00:15:40,120 Speaker 2: People who had processed meat every. 340 00:15:39,840 --> 00:15:42,880 Speaker 3: Day for twenty years had about a twenty percent increase 341 00:15:42,920 --> 00:15:45,480 Speaker 3: in colon cancer. So yeah, if you have a hot 342 00:15:45,480 --> 00:15:48,160 Speaker 3: dog a day for twenty years, it can increase colon cancer. 343 00:15:48,200 --> 00:15:51,960 Speaker 3: So I probably wouldn't do that, but a moderation it's fine. 344 00:15:52,240 --> 00:15:54,160 Speaker 1: I don't drink alcohol either. Is that going to make 345 00:15:54,200 --> 00:15:54,840 Speaker 1: me live longer? 346 00:15:55,040 --> 00:15:55,840 Speaker 2: Not necessarily. 347 00:15:55,880 --> 00:15:59,400 Speaker 3: Again, the warnings on alcohol, So there's an association small 348 00:15:59,440 --> 00:16:03,120 Speaker 3: with alcohol and cancer, particularly women and breast cancer. There's 349 00:16:03,160 --> 00:16:06,840 Speaker 3: also an association of things like toast and coffee with cancer. 350 00:16:07,240 --> 00:16:10,400 Speaker 3: When you burn the coffee bean or toast, that brownness 351 00:16:10,440 --> 00:16:16,400 Speaker 3: is a krylamide which has carcinogenic properties just like alcohol does. 352 00:16:16,680 --> 00:16:19,720 Speaker 3: But it's a very, very minor contributor. Despite all the 353 00:16:19,800 --> 00:16:22,400 Speaker 3: hullabaloo that was made over the last couple of months. 354 00:16:22,760 --> 00:16:25,600 Speaker 1: So today, if I wanted to live another ten or 355 00:16:25,640 --> 00:16:28,800 Speaker 1: fifteen or twenty years in a healthy way, your recommendations 356 00:16:28,840 --> 00:16:31,720 Speaker 1: to me, if I can summarize it, is, maybe take 357 00:16:31,720 --> 00:16:35,920 Speaker 1: a baby aspirin, maybe take a statin, exercise a little 358 00:16:35,920 --> 00:16:39,400 Speaker 1: bit every day, don't eat too much red meat, don't 359 00:16:39,480 --> 00:16:43,600 Speaker 1: drink too much alcohol, and pray a little. 360 00:16:43,360 --> 00:16:47,600 Speaker 2: Bit, and consider heart imaging. Okay, figure out where we are, 361 00:16:47,720 --> 00:16:48,880 Speaker 2: where we're starting from. 362 00:16:49,400 --> 00:16:51,320 Speaker 3: Look at all you be up to date with all 363 00:16:51,320 --> 00:16:55,400 Speaker 3: your vaccines, which is critical. Make sure that regular blood 364 00:16:55,440 --> 00:16:59,480 Speaker 3: values are on good order, and then consider genetic testing 365 00:16:59,480 --> 00:17:01,200 Speaker 3: if you have a family history of anything. 366 00:17:01,760 --> 00:17:04,720 Speaker 1: One thing I've often wondered about, and maybe you, based 367 00:17:04,760 --> 00:17:07,159 Speaker 1: on your experience, you can tell me what age do 368 00:17:07,280 --> 00:17:10,400 Speaker 1: people really begin to think about dying. In other words, 369 00:17:10,440 --> 00:17:12,360 Speaker 1: what age they really go to their lawyer and say, 370 00:17:12,359 --> 00:17:14,200 Speaker 1: all right, I really want to worry about my will, 371 00:17:14,680 --> 00:17:16,119 Speaker 1: or I really go to the doctor and say I 372 00:17:16,200 --> 00:17:19,840 Speaker 1: want to live longer. Is that at age sixty, sixty five, seventy, 373 00:17:19,840 --> 00:17:21,280 Speaker 1: Where do you see it? Based on your pages that 374 00:17:21,320 --> 00:17:23,400 Speaker 1: are really beginning to think about death for the first time. 375 00:17:23,440 --> 00:17:24,120 Speaker 2: So it's interesting. 376 00:17:24,119 --> 00:17:26,679 Speaker 3: A study came out earlier last year or later at 377 00:17:26,680 --> 00:17:29,680 Speaker 3: the end of last year that was looked at biologic 378 00:17:29,760 --> 00:17:32,480 Speaker 3: age and said the biggest change in health happened. 379 00:17:32,200 --> 00:17:35,000 Speaker 2: At age forty three in age sixty, so. 380 00:17:35,040 --> 00:17:38,880 Speaker 3: That's when you know medical issues change the most forty 381 00:17:38,880 --> 00:17:42,160 Speaker 3: three and sixty and both of those time points when 382 00:17:42,200 --> 00:17:45,400 Speaker 3: things happen is when you start to kind of realize 383 00:17:45,440 --> 00:17:48,520 Speaker 3: that you're not immortal. And so I see that very 384 00:17:48,560 --> 00:17:52,119 Speaker 3: commonly in patients. You know, most of my patients. You know, 385 00:17:52,160 --> 00:17:54,320 Speaker 3: the first thing I have is listen, you have a cancer. 386 00:17:54,359 --> 00:17:55,800 Speaker 3: I'm gonna be able to control it. I don't think 387 00:17:55,840 --> 00:17:58,800 Speaker 3: you'll die from it, but I would recommend getting your 388 00:17:58,840 --> 00:17:59,640 Speaker 3: affairs in order. 389 00:17:59,760 --> 00:18:01,480 Speaker 2: There's nothing wrong with being prepared. 390 00:18:01,960 --> 00:18:03,600 Speaker 3: You know, hope for the best, but plan for the 391 00:18:03,680 --> 00:18:06,320 Speaker 3: worst is a very reasonable thing. I've seen too many, 392 00:18:06,359 --> 00:18:09,120 Speaker 3: and I'm sure you have too people who weren't prepared 393 00:18:09,200 --> 00:18:12,800 Speaker 3: and horrible fights within family because they weren't prepared, and 394 00:18:12,840 --> 00:18:13,840 Speaker 3: that's not a good thing. 395 00:18:14,080 --> 00:18:16,439 Speaker 1: So I guess the most dangerous words in English language 396 00:18:16,480 --> 00:18:18,400 Speaker 1: are maybe, get your affairs in order. 397 00:18:18,560 --> 00:18:20,480 Speaker 2: No, I think it's a reasonable thing. I think it's 398 00:18:20,480 --> 00:18:21,200 Speaker 2: an important thing. 399 00:18:22,520 --> 00:18:25,199 Speaker 3: There's nothing wrong with it, And I'm not saying it 400 00:18:25,280 --> 00:18:26,240 Speaker 3: is an alarmist thing. 401 00:18:26,280 --> 00:18:27,159 Speaker 2: I just believe in it. 402 00:18:27,240 --> 00:18:29,520 Speaker 1: People live to one hundred, but they're really have a 403 00:18:29,520 --> 00:18:31,800 Speaker 1: lot of physical and mental problems. But you think we 404 00:18:31,840 --> 00:18:34,080 Speaker 1: can ever get to people living to one hundred and 405 00:18:34,160 --> 00:18:37,240 Speaker 1: actually have the physical and mental abilities of somebody who's 406 00:18:37,320 --> 00:18:38,800 Speaker 1: eighty or seventy. 407 00:18:38,760 --> 00:18:40,720 Speaker 2: One hundred percent. We can, and I think we will. 408 00:18:40,800 --> 00:18:43,040 Speaker 3: I can't see a reason why all of us can't 409 00:18:43,040 --> 00:18:46,240 Speaker 3: live in a healthy, quality way till that point. You know, 410 00:18:46,320 --> 00:18:48,560 Speaker 3: the early nineteen sixties was the last time in the 411 00:18:48,640 --> 00:18:50,800 Speaker 3: United States you can die with the cause of death 412 00:18:50,840 --> 00:18:53,840 Speaker 3: being old age on a death certificate. Now you need 413 00:18:53,840 --> 00:18:56,320 Speaker 3: a death Alzheimer's, heart disease, cancer. I want to go 414 00:18:56,440 --> 00:18:58,280 Speaker 3: back to people dying of old age. 415 00:18:58,520 --> 00:19:00,480 Speaker 1: Can you go to a cocktail party with out people 416 00:19:00,480 --> 00:19:02,679 Speaker 1: are saying I got this pain here, I got this 417 00:19:02,760 --> 00:19:05,119 Speaker 1: pain here. What should I do about you? Ever get that? 418 00:19:05,600 --> 00:19:07,120 Speaker 2: I get that constantly and again? 419 00:19:07,160 --> 00:19:08,000 Speaker 1: What do you tell people? 420 00:19:08,160 --> 00:19:10,399 Speaker 2: I consider it a privilege to talk to them. 421 00:19:10,680 --> 00:19:13,080 Speaker 3: It doesn't bother me. It bothers my wife, believe me, 422 00:19:13,720 --> 00:19:16,560 Speaker 3: but it doesn't bother me. And I'm happy to try 423 00:19:16,600 --> 00:19:18,800 Speaker 3: to help them. I mean the ability to help someone, 424 00:19:19,119 --> 00:19:21,280 Speaker 3: you know, I look at it is that it takes 425 00:19:21,480 --> 00:19:24,280 Speaker 3: two seconds of my brain time to help them, and 426 00:19:24,320 --> 00:19:25,040 Speaker 3: the benefit to. 427 00:19:25,040 --> 00:19:26,440 Speaker 2: Them can be very signifant. 428 00:19:26,480 --> 00:19:29,200 Speaker 3: So there's an asymmetric part of the relationship here. 429 00:19:29,320 --> 00:19:32,760 Speaker 1: For new kinds of treatments like stem cell treatments and 430 00:19:32,800 --> 00:19:35,040 Speaker 1: things like this. Are these the kind of things that 431 00:19:35,280 --> 00:19:38,080 Speaker 1: medicine's working on in ten years from today? What do 432 00:19:38,119 --> 00:19:39,439 Speaker 1: you think we will be able to do that we 433 00:19:39,480 --> 00:19:40,280 Speaker 1: can't do today? 434 00:19:40,400 --> 00:19:43,160 Speaker 3: So, first of all, when you go to any mall now, 435 00:19:44,080 --> 00:19:46,119 Speaker 3: you know, and you go to a mini mall in 436 00:19:46,160 --> 00:19:49,520 Speaker 3: California or a mall here, you see a stem cell center, 437 00:19:49,960 --> 00:19:54,280 Speaker 3: you know, a nutritional center of selling nad and vitamins 438 00:19:54,320 --> 00:19:57,520 Speaker 3: and supplements, all of them promising you the fountain of youth. 439 00:19:58,200 --> 00:20:01,040 Speaker 3: Every single one of them is of fraud. And I 440 00:20:01,040 --> 00:20:03,560 Speaker 3: think the important to say that there is no data 441 00:20:03,640 --> 00:20:08,040 Speaker 3: behind them, and so it's difficult because they have great marketing. 442 00:20:08,480 --> 00:20:11,240 Speaker 3: It makes intuitive sense. Well, stem cell. I read in 443 00:20:11,240 --> 00:20:13,840 Speaker 3: the New York Times stem cells were good. This says 444 00:20:13,880 --> 00:20:18,000 Speaker 3: stem cells, therefore I want them. And that's the reductionist 445 00:20:18,080 --> 00:20:21,400 Speaker 3: approach many people take when they see these buzzwords. So 446 00:20:21,600 --> 00:20:24,560 Speaker 3: these are the future, but they're not here today, is 447 00:20:24,600 --> 00:20:28,159 Speaker 3: the important message. There's no question we will at some 448 00:20:28,240 --> 00:20:30,640 Speaker 3: point get to them. There now are ways of turning 449 00:20:30,680 --> 00:20:33,560 Speaker 3: the stem cells back on, and so there are clinical 450 00:20:33,600 --> 00:20:36,000 Speaker 3: trials now doing things to turn them on back in 451 00:20:36,040 --> 00:20:39,400 Speaker 3: the hip and elderly people who broke their hip after repair, 452 00:20:39,920 --> 00:20:43,520 Speaker 3: in the heart, in the eye, in the hair, other places, 453 00:20:43,880 --> 00:20:46,080 Speaker 3: and it's going to be very exciting. It's still early 454 00:20:46,160 --> 00:20:49,359 Speaker 3: days and we have to perfect that science, but this 455 00:20:49,440 --> 00:20:52,480 Speaker 3: is something in the future to turn on. The regenerative 456 00:20:52,520 --> 00:20:55,560 Speaker 3: capacity of our body is something that will enable us 457 00:20:55,600 --> 00:20:58,680 Speaker 3: to have you alluded to it before is quality years 458 00:20:59,040 --> 00:21:01,960 Speaker 3: in our eighties, nine, nine, and one hundred. With stem 459 00:21:02,000 --> 00:21:04,199 Speaker 3: cell technologies, we're going to be able to reverse that. 460 00:21:04,400 --> 00:21:06,720 Speaker 1: Well, what do you most enjoy about the profession you have. 461 00:21:06,800 --> 00:21:09,520 Speaker 1: It's helping other people solving these problems that are help 462 00:21:09,640 --> 00:21:11,920 Speaker 1: people you may not know, but people around the world. 463 00:21:12,000 --> 00:21:14,320 Speaker 3: When people come to see me, I mean most of 464 00:21:14,359 --> 00:21:17,880 Speaker 3: the time, they have advanced cancers, so they failed conventional treatment. 465 00:21:18,320 --> 00:21:19,920 Speaker 3: So I get to think out of the box, look 466 00:21:19,960 --> 00:21:23,040 Speaker 3: at all of the data, and come up before AI 467 00:21:23,680 --> 00:21:25,760 Speaker 3: with something that I think can work for them and 468 00:21:25,800 --> 00:21:28,639 Speaker 3: try it. I get to watch evolution happen. When I 469 00:21:28,640 --> 00:21:32,240 Speaker 3: give a drug to a patient that cancer evolves. I'm 470 00:21:32,359 --> 00:21:36,159 Speaker 3: watching evolution happen in weeks to months in my patient 471 00:21:36,640 --> 00:21:39,720 Speaker 3: and learning the biology of cancer from perturbing it. Believe 472 00:21:39,760 --> 00:21:42,159 Speaker 3: it or not, I'm a weird species and that I 473 00:21:42,200 --> 00:21:44,440 Speaker 3: work in the lab and I see patients. 474 00:21:44,800 --> 00:21:46,600 Speaker 2: There aren't many of us left in. 475 00:21:46,560 --> 00:21:49,679 Speaker 3: The world, and to be able to do both, I 476 00:21:49,760 --> 00:21:52,880 Speaker 3: do autopsies on my patients who pass away. So I 477 00:21:53,000 --> 00:21:56,160 Speaker 3: see what I missed, where I was right, where I 478 00:21:56,200 --> 00:21:57,960 Speaker 3: was wrong, and I learned to get better. 479 00:21:58,320 --> 00:22:00,960 Speaker 1: Have you ever thought, if you were in college today, 480 00:22:01,480 --> 00:22:03,879 Speaker 1: whether you would go in today's environment go to medical 481 00:22:03,920 --> 00:22:05,919 Speaker 1: school or would you go to Silicon Valley. 482 00:22:06,080 --> 00:22:07,639 Speaker 3: Well, first of all, I would never get into medical 483 00:22:07,640 --> 00:22:09,560 Speaker 3: school today. I look at what they do in the 484 00:22:09,640 --> 00:22:12,880 Speaker 3: tests and whatever it is hard. Back when I did 485 00:22:12,880 --> 00:22:17,280 Speaker 3: it it seemed easier. I probably would still going to medicine. 486 00:22:17,359 --> 00:22:20,760 Speaker 2: I love it. I pinched myself every day I get 487 00:22:20,800 --> 00:22:21,560 Speaker 2: to do what I do. 488 00:22:23,200 --> 00:22:25,720 Speaker 1: Thanks for listening to hear more of my interviews. You 489 00:22:25,760 --> 00:22:29,879 Speaker 1: can subscribe and download my podcast on Spotify, Apple, or 490 00:22:29,880 --> 00:22:30,720 Speaker 1: wherever you listen