1 00:00:01,490 --> 00:00:05,010 Speaker 1: Welcome to Stuff You Should Know, a production of iHeartRadio. 2 00:00:11,170 --> 00:00:13,680 Speaker 2: Hey, and welcome to the podcast. I'm Josh, and there's Chuck, 3 00:00:13,710 --> 00:00:16,500 Speaker 2: and Jerry's here, too. And this is a good old-fashioned 4 00:00:16,540 --> 00:00:20,920 Speaker 2: episode of Stuff You Should Know. I guess one that 5 00:00:20,940 --> 00:00:26,260 Speaker 2: we hope helps people understand things better is the clumsiest 6 00:00:26,300 --> 00:00:26,970 Speaker 2: way I can put it. 7 00:00:26,980 --> 00:00:28,600 Speaker 1: Yeah, it's pretty clumsy. 8 00:00:29,260 --> 00:00:29,480 Speaker 2: Thanks. 9 00:00:30,120 --> 00:00:31,860 Speaker 1: Nice as... You did well then. 10 00:00:32,760 --> 00:00:38,860 Speaker 2: Did you already know a lot about cancer before researching this? Yeah. 11 00:00:38,920 --> 00:00:41,659 Speaker 1: I mean, I feel like I knew most of this stuff. 12 00:00:42,159 --> 00:00:42,470 Speaker 2: Oh, really? 13 00:00:42,780 --> 00:00:45,650 Speaker 1: Generally. Like, obviously, you know, that we're going to go 14 00:00:45,670 --> 00:00:47,849 Speaker 1: over a lot of statistics and stuff early on. So 15 00:00:47,890 --> 00:00:49,450 Speaker 1: I wasn't super dialed in. 16 00:00:49,490 --> 00:00:51,590 Speaker 2: But, yeah. 17 00:00:51,710 --> 00:00:55,720 Speaker 1: I mean, we have cancer in our family on my 18 00:00:56,160 --> 00:01:02,530 Speaker 1: mom's side. Like, my mom had breast cancer. Her sister 19 00:01:02,870 --> 00:01:05,010 Speaker 1: had some kind of cancer. My one of her brothers 20 00:01:05,050 --> 00:01:08,030 Speaker 1: had some kind of cancer. So it's sort of been 21 00:01:08,060 --> 00:01:10,320 Speaker 1: around and I've lost a couple of friends to cancer. 22 00:01:10,340 --> 00:01:10,900 Speaker 2: Yeah. 23 00:01:11,600 --> 00:01:13,480 Speaker 1: So it's popped up here and there. 24 00:01:15,020 --> 00:01:16,970 Speaker 2: Yeah, I would say that's more than your fair share 25 00:01:16,980 --> 00:01:19,410 Speaker 2: based on some of these statistics. Yeah. 26 00:01:19,550 --> 00:01:24,070 Speaker 1: And, you know, I was. I mean, not to spoil anything, but. 27 00:01:25,850 --> 00:01:28,690 Speaker 1: I did see that only 5% to 10% of all 28 00:01:28,750 --> 00:01:31,870 Speaker 1: cancer cases could be attributed to genetic defects. 29 00:01:32,470 --> 00:01:34,470 Speaker 2: Yeah, I saw something like that, too. 30 00:01:34,490 --> 00:01:37,090 Speaker 1: So that made me feel better as far as, you know, 31 00:01:37,390 --> 00:01:38,959 Speaker 1: knowing that I'm going to die of heart disease. 32 00:01:40,580 --> 00:01:44,860 Speaker 2: Right. You know? I mean, that is all American, though, 33 00:01:44,920 --> 00:01:45,260 Speaker 2: isn't it? 34 00:01:45,880 --> 00:01:46,920 Speaker 1: Oh, baby, it is. 35 00:01:47,420 --> 00:01:51,240 Speaker 2: They give you a little American flag to hold in 36 00:01:51,280 --> 00:01:53,050 Speaker 2: your casket when you die of heart disease. 37 00:01:53,360 --> 00:01:55,880 Speaker 1: Yeah. But, you know, I mean, those are the two 38 00:01:56,040 --> 00:01:58,780 Speaker 1: leading causes, you know, especially if you're an American. So, 39 00:01:59,440 --> 00:02:01,580 Speaker 1: you know, that's one of the two is probably going 40 00:02:01,600 --> 00:02:03,980 Speaker 1: to take take me out. 41 00:02:04,780 --> 00:02:07,060 Speaker 2: Well, that's the thing. It sucks to think about this 42 00:02:07,120 --> 00:02:10,200 Speaker 2: kind of stuff, but you're going to there's 100 percent 43 00:02:10,240 --> 00:02:12,079 Speaker 2: chance you're going to go somehow some way. 44 00:02:12,800 --> 00:02:17,680 Speaker 1: That's right. And I think 40 percent of men and 45 00:02:17,720 --> 00:02:20,820 Speaker 1: women in the United States will get a cancer diagnosis 46 00:02:20,919 --> 00:02:21,359 Speaker 1: at some point. 47 00:02:21,419 --> 00:02:25,680 Speaker 2: That's a lot. Yeah, one in every 2.5 Americans. 48 00:02:26,080 --> 00:02:27,440 Speaker 1: Yeah, that's a sobering stat. 49 00:02:28,360 --> 00:02:30,740 Speaker 2: And I feel bad for that 0.5 American because they 50 00:02:30,820 --> 00:02:32,020 Speaker 2: already have it hard enough. 51 00:02:32,940 --> 00:02:35,799 Speaker 1: Right. I knew you'd find a way to get a 52 00:02:35,810 --> 00:02:36,500 Speaker 1: little humor in here. 53 00:02:37,550 --> 00:02:41,290 Speaker 2: So let me kind of tell you what I learned 54 00:02:41,510 --> 00:02:43,770 Speaker 2: about cancer that I just did not understand. 55 00:02:43,790 --> 00:02:44,530 Speaker 1: Okay. 56 00:02:44,770 --> 00:02:47,130 Speaker 2: Which is kind of like the overview of what cancer is. 57 00:02:48,130 --> 00:02:50,859 Speaker 2: Cancer is not just one disease, which I kind of knew, 58 00:02:50,940 --> 00:02:52,840 Speaker 2: but I'd heard that I had no idea what people 59 00:02:52,900 --> 00:02:55,919 Speaker 2: are talking about. What they're talking about is it's actually 60 00:02:56,560 --> 00:03:00,820 Speaker 2: nowadays an umbrella term for a collection of more than 61 00:03:00,820 --> 00:03:05,310 Speaker 2: 200 different diseases. Yeah. And they all share two important 62 00:03:05,330 --> 00:03:10,130 Speaker 2: things in common. One, they come from genetic defects, not 63 00:03:10,169 --> 00:03:13,790 Speaker 2: just inherited genetic defects like you were talking about. And 64 00:03:13,840 --> 00:03:19,400 Speaker 2: then two, the mechanism of the disease is uncontrolled cell growth. 65 00:03:20,220 --> 00:03:24,620 Speaker 2: That's cancer. But the reason it's so insidious and difficult 66 00:03:24,660 --> 00:03:27,790 Speaker 2: to treat and, you know, kills so many people is 67 00:03:27,850 --> 00:03:30,450 Speaker 2: because it comes from your own body. It's not like 68 00:03:30,490 --> 00:03:34,410 Speaker 2: a foreign invader. It's your body doing what it normally does, 69 00:03:34,450 --> 00:03:37,490 Speaker 2: which is cells divide and they don't do it quite 70 00:03:37,530 --> 00:03:40,370 Speaker 2: right sometimes and they can turn cancerous. And your body 71 00:03:40,410 --> 00:03:44,170 Speaker 2: has ways to handle that stuff and get rid of it. 72 00:03:44,470 --> 00:03:47,970 Speaker 2: But if your body starts to get overwhelmed or your 73 00:03:48,010 --> 00:03:50,900 Speaker 2: immune system starts to get depleted as you age, then 74 00:03:50,940 --> 00:03:53,200 Speaker 2: the cancer can take hold and then it goes from 75 00:03:53,220 --> 00:03:57,520 Speaker 2: a normal byproduct of cell division to disease. I didn't 76 00:03:57,560 --> 00:04:01,680 Speaker 2: really understand cancer in those terms until I researched this. Yeah. 77 00:04:01,840 --> 00:04:03,640 Speaker 1: Well, that's good. I mean, that probably means you haven't 78 00:04:04,120 --> 00:04:06,360 Speaker 1: faced it a lot in your immediate surroundings. 79 00:04:07,020 --> 00:04:11,010 Speaker 2: Yeah, Yubi's brother, her older brother Bobby, has stage 4 80 00:04:11,010 --> 00:04:13,610 Speaker 2: cancer right now. And he's been hanging in there for 81 00:04:13,630 --> 00:04:16,589 Speaker 2: a really long time. He's living his best life and everything. But, 82 00:04:16,690 --> 00:04:20,710 Speaker 2: you know, it's just kind of this constant in our lives. 83 00:04:21,170 --> 00:04:24,900 Speaker 1: Yeah, for sure. Yeah, so if 5% to 10% are 84 00:04:25,300 --> 00:04:28,420 Speaker 1: attributed to genetic defects, then the other 90% to 95% 85 00:04:28,420 --> 00:04:35,049 Speaker 1: are rooted in environment and lifestyle issues. Obviously, with lifestyle, 86 00:04:35,070 --> 00:04:40,210 Speaker 1: we're talking about some obvious things like smoking and diet, alcohol, 87 00:04:40,750 --> 00:04:44,920 Speaker 1: the sun exposure, stuff like that. Stress is one that's 88 00:04:44,980 --> 00:04:46,140 Speaker 1: kind of scary to think about. 89 00:04:46,400 --> 00:04:47,359 Speaker 2: Yeah. 90 00:04:47,460 --> 00:04:53,780 Speaker 1: Obesity. But then, you know, 15 to whatever, 20 percent 91 00:04:53,880 --> 00:04:58,729 Speaker 1: are due to stuff like, you know, environmental pollutants and 92 00:04:59,230 --> 00:05:03,390 Speaker 1: just radiation like. that you can experience maybe in your 93 00:05:03,450 --> 00:05:06,880 Speaker 1: workplace or your, uh, where you live or something like that. 94 00:05:06,900 --> 00:05:09,239 Speaker 1: And that's all like super, super sad. It's all sad, 95 00:05:09,279 --> 00:05:11,880 Speaker 1: but you know, the stuff that like you have no 96 00:05:11,940 --> 00:05:14,980 Speaker 1: control over, but you live near a thing that's just 97 00:05:15,020 --> 00:05:15,820 Speaker 1: super scary. 98 00:05:16,040 --> 00:05:19,790 Speaker 2: Yeah. Yeah, for sure. Um, that, that UV radiation also 99 00:05:19,830 --> 00:05:22,730 Speaker 2: can just come from being out in the sun over 100 00:05:22,770 --> 00:05:25,550 Speaker 2: the course of your life, which, um, I think is 101 00:05:25,570 --> 00:05:29,250 Speaker 2: the reason why, uh, skin cancers are the most common 102 00:05:29,430 --> 00:05:30,250 Speaker 2: type of cancer. 103 00:05:31,310 --> 00:05:34,809 Speaker 1: Yeah, I think you're right. The name cancer is Latin 104 00:05:34,830 --> 00:05:37,270 Speaker 1: for crab. So, you know, just like the Zodiac sign. 105 00:05:37,330 --> 00:05:41,820 Speaker 1: So in the early days, doctors describing tumors that had 106 00:05:41,860 --> 00:05:45,400 Speaker 1: like veins or extensions coming out of them said they 107 00:05:45,440 --> 00:05:48,200 Speaker 1: were crab like. And the way they said that was 108 00:05:48,380 --> 00:05:49,339 Speaker 1: they called them cancerous. 109 00:05:50,220 --> 00:05:53,580 Speaker 2: Yeah. So there you go. That's the end of the episode. 110 00:05:53,980 --> 00:05:55,810 Speaker 1: Should we go over some of these other stats? 111 00:05:56,450 --> 00:06:00,300 Speaker 2: Yeah. This is largely American stats, but we tried to 112 00:06:00,360 --> 00:06:03,560 Speaker 2: extend them where we could to the U.K., Australia, Canada. 113 00:06:04,220 --> 00:06:05,919 Speaker 1: Yeah, places where people listen to us. 114 00:06:06,380 --> 00:06:09,240 Speaker 2: Exactly. Just wanted to make sure everybody could share in 115 00:06:09,320 --> 00:06:10,960 Speaker 2: this depressiveness. 116 00:06:11,540 --> 00:06:15,260 Speaker 1: No, I agree. At any point, about 17 million Americans 117 00:06:15,320 --> 00:06:18,700 Speaker 1: are living with cancer, and about 5,800 new cases are 118 00:06:18,720 --> 00:06:20,820 Speaker 1: diagnosed every day in the U.S., about 1,100 in the U.K., 119 00:06:20,820 --> 00:06:27,410 Speaker 1: and just 450 in Australia. 696 in Canada. 120 00:06:27,430 --> 00:06:28,729 Speaker 2: I saw, too, later. 121 00:06:29,890 --> 00:06:32,630 Speaker 1: Oh, so 450 to 696? It's a range, I guess? 122 00:06:32,830 --> 00:06:35,150 Speaker 2: No, no, that's Australia. 696 is Canada's. 123 00:06:35,710 --> 00:06:37,110 Speaker 1: Oh, it's Canada. I thought you said Australia. 124 00:06:37,390 --> 00:06:39,290 Speaker 2: Yeah. No, uh-uh. 125 00:06:39,589 --> 00:06:44,400 Speaker 1: And every year, about 600,000 Americans die of cancer, which 126 00:06:44,440 --> 00:06:48,840 Speaker 1: accounts for about 17% of all deaths in the United States, 127 00:06:49,640 --> 00:06:52,620 Speaker 1: far and away with lung cancer being the leader there. 128 00:06:52,640 --> 00:06:53,200 Speaker 2: Yeah. 129 00:06:53,220 --> 00:06:53,400 Speaker 1: Yeah. 130 00:06:53,790 --> 00:06:56,250 Speaker 2: The UK is flipped. It's number five in Australia, number 131 00:06:56,270 --> 00:07:00,130 Speaker 2: three in Canada. But it's definitely up there, right? Yeah. 132 00:07:00,990 --> 00:07:04,200 Speaker 2: And lung cancer, not just in the US, but worldwide, 133 00:07:04,460 --> 00:07:09,960 Speaker 2: is most responsible for deaths from cancer. It's really prevalent 134 00:07:10,060 --> 00:07:14,300 Speaker 2: because smoking was really prevalent and still is. And you 135 00:07:14,340 --> 00:07:18,050 Speaker 2: can chalk the vast majority of cancer deaths every year 136 00:07:18,310 --> 00:07:22,060 Speaker 2: up to smoking, people who smoked. make up the vast 137 00:07:22,100 --> 00:07:25,460 Speaker 2: majority of people who die from lung cancer. And, um, 138 00:07:25,640 --> 00:07:28,670 Speaker 2: in the U S it's like 130,000 people every year 139 00:07:28,690 --> 00:07:33,110 Speaker 2: and something like a hundred thousand of those people smoked. 140 00:07:33,890 --> 00:07:37,850 Speaker 2: So every decade, a million people die because they smoke cigarettes. 141 00:07:38,910 --> 00:07:43,520 Speaker 2: And then every year, about 7,300 Americans die from secondhand 142 00:07:43,680 --> 00:07:46,480 Speaker 2: smoke exposure, which is even worse. Yeah. 143 00:07:47,080 --> 00:07:52,590 Speaker 1: Um, colorectal cancer is number two, uh, at about 55,380 deaths, uh, 144 00:07:52,770 --> 00:07:57,370 Speaker 1: expected this year in 2026. But, um, sort of the, 145 00:07:57,520 --> 00:08:01,300 Speaker 1: the sobering part of colorectal cancer is that it's really, really, um, 146 00:08:02,620 --> 00:08:06,650 Speaker 1: I mean, you could even say skyrocketing in young adults. Uh, 147 00:08:06,660 --> 00:08:08,290 Speaker 1: it's up 51% since 1994 and people between 20 and 49, 148 00:08:08,290 --> 00:08:15,480 Speaker 1: and they don't, um, I mean, you should go get 149 00:08:15,520 --> 00:08:18,960 Speaker 1: colonoscopies in your 40s and I would even say by 150 00:08:19,000 --> 00:08:21,190 Speaker 1: the age 40, but your insurance may not cover it. 151 00:08:21,250 --> 00:08:25,230 Speaker 1: So there's a lot of work, obviously, in the insurance 152 00:08:25,450 --> 00:08:29,230 Speaker 1: world when it comes to covering things like this, because 153 00:08:29,790 --> 00:08:32,310 Speaker 1: as you'll see, getting ahead of the game and cancer 154 00:08:32,510 --> 00:08:34,510 Speaker 1: is the name of the game with beating cancer. 155 00:08:35,570 --> 00:08:38,370 Speaker 2: Yeah, for sure. And that is actually a reason why 156 00:08:39,260 --> 00:08:43,170 Speaker 2: deaths from cancer in the West are on their way 157 00:08:43,230 --> 00:08:46,690 Speaker 2: down and have declined precipitously in some cases. It depends 158 00:08:46,730 --> 00:08:49,850 Speaker 2: on the type of cancer. But like cancer death rates 159 00:08:49,890 --> 00:08:54,360 Speaker 2: for all cancers declined by almost 30 percent in the U.S. 160 00:08:54,420 --> 00:08:55,520 Speaker 2: over the past 20 years. 161 00:08:55,780 --> 00:08:56,360 Speaker 1: That's amazing. 162 00:08:56,700 --> 00:08:59,679 Speaker 2: Right. And the five year survival rate, which, as we'll see, 163 00:08:59,740 --> 00:09:03,580 Speaker 2: is pretty much for most cancers synonymous with cured, like 164 00:09:03,600 --> 00:09:06,570 Speaker 2: you're cured of cancer. That's that past 70 percent in 2025. 165 00:09:06,570 --> 00:09:11,479 Speaker 2: So Like the numbers are pretty good. And there's other 166 00:09:11,520 --> 00:09:15,579 Speaker 2: kinds of cancers that have like eye-poppingly positive survival rates. 167 00:09:16,220 --> 00:09:19,380 Speaker 1: Yeah, breast cancer for sure is one. One of the 168 00:09:19,420 --> 00:09:21,360 Speaker 1: highest at about 90.5%. Thyroid is really up there, 98%. Prostate, 96%. 169 00:09:21,360 --> 00:09:23,730 Speaker 1: Testicular cancer at 95%. And skin cancer at almost 94%. 170 00:09:23,730 --> 00:09:25,990 Speaker 1: So those are really, really encouraging numbers. It's one of 171 00:09:26,000 --> 00:09:40,959 Speaker 1: the scariest words I imagine you can hear. from a doctor. But, 172 00:09:42,100 --> 00:09:45,230 Speaker 1: you know, if you look at the numbers, unless it's 173 00:09:45,280 --> 00:09:48,829 Speaker 1: just sort of one of those rare worst case scenarios 174 00:09:49,630 --> 00:09:51,430 Speaker 1: where you get some kind of news that something is, 175 00:09:51,610 --> 00:09:53,550 Speaker 1: you know, stage four and metastasized. 176 00:09:53,710 --> 00:09:53,910 Speaker 2: Right. 177 00:09:54,450 --> 00:09:57,530 Speaker 1: And, you know, that just that doesn't happen very often, thankfully. 178 00:09:58,330 --> 00:10:02,099 Speaker 2: No, typically pancreatic cancer is pointed to as kind of 179 00:10:02,140 --> 00:10:05,179 Speaker 2: like the poster child for that. Yeah. And the reason 180 00:10:05,220 --> 00:10:09,890 Speaker 2: why is because you don't show symptoms until it's metastasized. 181 00:10:10,010 --> 00:10:13,050 Speaker 2: And that means you're diagnosed typically at stage four, which 182 00:10:13,130 --> 00:10:16,250 Speaker 2: is last stage cancer, which means that I think it 183 00:10:16,309 --> 00:10:21,090 Speaker 2: has a Five-year survival rate of 11.5% in the United States. 184 00:10:21,750 --> 00:10:25,370 Speaker 2: Lung cancers is only 22%. So I'm going to get 185 00:10:25,429 --> 00:10:28,870 Speaker 2: screened hopefully this month because I just turned 50. Oh, good. 186 00:10:29,250 --> 00:10:33,770 Speaker 2: Which means I'm now eligible for a lung CT because 187 00:10:33,809 --> 00:10:35,830 Speaker 2: I smoked when I was younger and now I'm 50. 188 00:10:35,830 --> 00:10:39,110 Speaker 2: So cross your fingers because I don't want cancer. 189 00:10:39,590 --> 00:10:41,750 Speaker 1: I don't want you to have cancer either, buddy. 190 00:10:41,850 --> 00:10:44,670 Speaker 2: Thanks, man. That's like maybe the nicest thing you've ever 191 00:10:44,690 --> 00:10:46,100 Speaker 2: said to me. 192 00:10:47,380 --> 00:10:49,820 Speaker 1: Well, you know, especially when you've done the right thing 193 00:10:49,840 --> 00:10:52,540 Speaker 1: and improved your health so much. And anytime somebody works 194 00:10:52,559 --> 00:10:55,200 Speaker 1: really hard to do something really, really hard, like quitting smoking, 195 00:10:56,360 --> 00:10:58,720 Speaker 1: you hope that there's a real great payoff for that. 196 00:10:58,740 --> 00:11:00,460 Speaker 1: You know, Emily smoked for a long time, too. So 197 00:11:00,480 --> 00:11:03,480 Speaker 1: she's she's always just sort of worried and she has 198 00:11:03,540 --> 00:11:08,080 Speaker 1: cancer in her family. So she has always getting tons 199 00:11:08,120 --> 00:11:09,200 Speaker 1: of screenings for things. 200 00:11:09,640 --> 00:11:14,530 Speaker 2: Good. It's smart. Yeah. So I think. One out of 201 00:11:14,620 --> 00:11:18,800 Speaker 2: every six deaths globally every year are from cancer. And 202 00:11:19,700 --> 00:11:23,480 Speaker 2: the rates are really boosted by lower income countries because 203 00:11:23,500 --> 00:11:26,520 Speaker 2: they don't have a lot of access like we do 204 00:11:26,580 --> 00:11:32,960 Speaker 2: in the West to services, to screenings, even HPV vaccinations. Yeah. 205 00:11:33,059 --> 00:11:37,479 Speaker 2: That's a huge preventative for a whole suite of cancers. Yeah. 206 00:11:37,679 --> 00:11:40,479 Speaker 2: And in the United States, it's very prevalent and it 207 00:11:40,520 --> 00:11:44,990 Speaker 2: can save your sexual partner's life. years down the road. 208 00:11:46,710 --> 00:11:50,370 Speaker 2: And they don't necessarily have access to that. And by 209 00:11:50,410 --> 00:11:53,990 Speaker 2: the way, HPV, hepatitis, other viruses that can cause cancer 210 00:11:54,010 --> 00:11:56,830 Speaker 2: are called oncoviruses, like oncology. 211 00:11:57,710 --> 00:12:00,890 Speaker 1: That's right. Should we talk about cells for a little while? 212 00:12:01,650 --> 00:12:03,170 Speaker 2: I mean, I don't see how we can talk about 213 00:12:03,210 --> 00:12:05,740 Speaker 2: cancer and not talk about cells. Yeah. 214 00:12:05,770 --> 00:12:07,679 Speaker 1: So I think it would help if we talked a 215 00:12:07,740 --> 00:12:11,840 Speaker 1: little bit about how cell division and healthy cells are 216 00:12:11,880 --> 00:12:17,180 Speaker 1: supposed to work, which is Cells divide and reproduce and they, 217 00:12:17,780 --> 00:12:20,540 Speaker 1: you know, they do that when they should generally and 218 00:12:20,559 --> 00:12:22,939 Speaker 1: they do that where they need to do that generally. 219 00:12:23,420 --> 00:12:25,830 Speaker 1: And they locate themselves in the body where they're supposed 220 00:12:25,870 --> 00:12:29,570 Speaker 1: to go after they mature into a specialized cell. So 221 00:12:29,590 --> 00:12:31,630 Speaker 1: a cell will divide and then once it matures, it 222 00:12:31,670 --> 00:12:36,030 Speaker 1: gets an assignment basically to go perform a role. And, 223 00:12:36,190 --> 00:12:39,340 Speaker 1: you know, it generally does that pretty well. And when 224 00:12:39,380 --> 00:12:41,559 Speaker 1: it gets to the end, it's pretty miraculous when you 225 00:12:41,580 --> 00:12:46,160 Speaker 1: think of just normal cells. cell life, like how kind 226 00:12:46,179 --> 00:12:48,920 Speaker 1: of wonderful it is to look at. Like when they 227 00:12:48,970 --> 00:12:50,989 Speaker 1: get to the end of their life, they know that 228 00:12:51,570 --> 00:12:53,590 Speaker 1: and they self-destruct and they say, we've done our job. 229 00:12:53,630 --> 00:12:57,309 Speaker 1: It's time for us to exit the scene. And with cancer, 230 00:12:57,610 --> 00:12:59,070 Speaker 1: all of that almost is flip-flopped. 231 00:12:59,910 --> 00:13:03,369 Speaker 2: It is. And again, like cancer are just cells in 232 00:13:03,410 --> 00:13:06,500 Speaker 2: your body that have become damaged or you inherited them 233 00:13:06,800 --> 00:13:10,140 Speaker 2: with damage and And like they just happen, but your 234 00:13:10,220 --> 00:13:12,520 Speaker 2: body has all sorts of defenses to get rid of 235 00:13:12,540 --> 00:13:16,100 Speaker 2: them as like waste and it handles it. Right. So 236 00:13:16,160 --> 00:13:18,640 Speaker 2: this isn't just like tumors we're talking about. This actually 237 00:13:18,679 --> 00:13:23,500 Speaker 2: applies to any kind of cancer cell. They never stop dividing, 238 00:13:23,540 --> 00:13:25,380 Speaker 2: which is one of the things we said at the beginning. 239 00:13:26,020 --> 00:13:29,170 Speaker 2: Uncontrolled cell division and growth is essentially how you die 240 00:13:29,690 --> 00:13:34,210 Speaker 2: from cancer. Right. Either. the cells accumulate into a tumor 241 00:13:34,610 --> 00:13:37,309 Speaker 2: that crowds out the healthy cells and keeps them from 242 00:13:37,370 --> 00:13:40,890 Speaker 2: doing their thing. So if it's liver cancer, your liver 243 00:13:40,929 --> 00:13:44,069 Speaker 2: can't filter enough stuff out anymore and that you die 244 00:13:44,130 --> 00:13:47,770 Speaker 2: from organ or systemic failure because the cancer cells have 245 00:13:47,790 --> 00:13:50,069 Speaker 2: just crowded out the healthy cells. 246 00:13:50,770 --> 00:13:53,750 Speaker 1: Yeah. So like we said, it's a genetic mutation that's 247 00:13:53,790 --> 00:13:56,890 Speaker 1: going on and some DNA changes are going to like 248 00:13:57,050 --> 00:14:00,010 Speaker 1: raise the levels of proteins to keep the cell growing. 249 00:14:00,670 --> 00:14:04,000 Speaker 1: Others might lower levels of a protein that tells it 250 00:14:04,020 --> 00:14:09,080 Speaker 1: when to stop growing. Sometimes it'll, you know, the ones 251 00:14:09,179 --> 00:14:12,059 Speaker 1: that we talked about, it'll not have, and we'll talk 252 00:14:12,100 --> 00:14:15,609 Speaker 1: about the specific protein, I guess, is why we can, 253 00:14:16,490 --> 00:14:17,970 Speaker 1: why wait? It's p53. 254 00:14:18,010 --> 00:14:20,670 Speaker 2: That was going to be suspenseful for a second. 255 00:14:20,790 --> 00:14:23,630 Speaker 1: I know. P53 is the one that basically is like 256 00:14:23,670 --> 00:14:26,000 Speaker 1: the switch that tells a cell like, hey, we've done 257 00:14:26,030 --> 00:14:29,500 Speaker 1: our job. It's time to go. So one DNA mutation 258 00:14:29,560 --> 00:14:35,480 Speaker 1: might not tell that P53 gene to express itself. And 259 00:14:35,560 --> 00:14:39,180 Speaker 1: they think, scientists think that more than one DNA change 260 00:14:39,220 --> 00:14:42,760 Speaker 1: has to occur for a healthy cell to turn cancerous. 261 00:14:42,820 --> 00:14:48,750 Speaker 1: So if you have an inherited genetic related change or something, 262 00:14:49,250 --> 00:14:52,270 Speaker 1: you might need fewer additional changes to develop that cancer. 263 00:14:52,630 --> 00:14:56,140 Speaker 2: Yeah, because it's not like when you develop a carcinoma, 264 00:14:56,180 --> 00:14:59,700 Speaker 2: a skin cancer, like that's the first time you've ever 265 00:14:59,760 --> 00:15:04,180 Speaker 2: developed cancer right there or a potentially cancerous cell. Like, 266 00:15:04,510 --> 00:15:05,970 Speaker 2: It's not like you were just touched by the sun 267 00:15:06,090 --> 00:15:07,390 Speaker 2: once and all of a sudden you have cancer. It's 268 00:15:07,430 --> 00:15:11,400 Speaker 2: just not how it works. Instead, you have those cells 269 00:15:11,440 --> 00:15:15,480 Speaker 2: happening all the time, but they have built-in mechanisms to 270 00:15:15,640 --> 00:15:20,260 Speaker 2: reprogram themselves to basically take care of the damaged genes 271 00:15:20,320 --> 00:15:22,470 Speaker 2: and turn them off or on. Or like you said, 272 00:15:22,500 --> 00:15:26,050 Speaker 2: the wrong genes are off or on, ones that have 273 00:15:26,110 --> 00:15:30,040 Speaker 2: nothing to do with a cell turning cancerous. Or again, 274 00:15:30,140 --> 00:15:32,800 Speaker 2: if it does turn cancerous, the body's immune system can 275 00:15:32,850 --> 00:15:35,270 Speaker 2: come take care of it. Right. And that's why you 276 00:15:35,650 --> 00:15:39,370 Speaker 2: why you have to have more than one genetic mutation, 277 00:15:39,450 --> 00:15:42,710 Speaker 2: because it sells pretty good at repairing itself. And if 278 00:15:42,750 --> 00:15:46,650 Speaker 2: it's not P53 comes up like a like a boxing 279 00:15:47,240 --> 00:15:50,220 Speaker 2: manager and like, you know, smacks your face and wants 280 00:15:50,240 --> 00:15:52,260 Speaker 2: to see if you if they need to throw in 281 00:15:52,320 --> 00:15:52,780 Speaker 2: the towel. 282 00:15:53,180 --> 00:15:53,340 Speaker 1: Yeah. 283 00:15:53,710 --> 00:15:56,850 Speaker 2: And if you have too many genetic mutations, it's going 284 00:15:56,870 --> 00:15:58,890 Speaker 2: to throw in the towel for you, and you're going 285 00:15:58,910 --> 00:16:01,430 Speaker 2: to have to undergo apoptosis. 286 00:16:02,070 --> 00:16:04,840 Speaker 1: That's right. You know, we talked about tumors. We're going 287 00:16:04,860 --> 00:16:07,260 Speaker 1: to be talking more about that, obviously. But there's also 288 00:16:07,660 --> 00:16:10,840 Speaker 1: something like leukemia. There are cancers of the blood where 289 00:16:10,880 --> 00:16:14,360 Speaker 1: you don't form a tumor. But the blood cells, again, 290 00:16:14,420 --> 00:16:17,160 Speaker 1: they just replicate such that they crowd out the healthy ones. 291 00:16:18,440 --> 00:16:22,550 Speaker 1: And it's all doing this because they express– How would 292 00:16:22,590 --> 00:16:23,850 Speaker 1: you say that? Telomerase? 293 00:16:25,290 --> 00:16:25,460 Speaker 2: Yeah. 294 00:16:26,170 --> 00:16:30,100 Speaker 1: Okay. And that keeps the telomeres lengthened. The telomere is 295 00:16:30,120 --> 00:16:33,720 Speaker 1: what allows the cell to divide, and they kind of 296 00:16:33,760 --> 00:16:38,180 Speaker 1: dwindle down over time. But if they're expressing that telomerase, 297 00:16:38,240 --> 00:16:40,420 Speaker 1: it's lengthened and it wears out a little more slowly 298 00:16:40,860 --> 00:16:44,200 Speaker 1: so that tumor can just keep dividing and growing, basically. 299 00:16:44,680 --> 00:16:47,470 Speaker 2: Yeah. One of the other reasons they're so quick to 300 00:16:47,500 --> 00:16:50,190 Speaker 2: divide is that they don't stick around long enough or 301 00:16:50,230 --> 00:16:53,239 Speaker 2: they don't wait to divide. long enough to mature. And 302 00:16:53,900 --> 00:16:59,110 Speaker 2: like you said, healthy cells divide, mature, and then become specialized. 303 00:16:59,130 --> 00:17:02,910 Speaker 2: They get their assignment. And tumor cells or cancer cells 304 00:17:02,950 --> 00:17:06,390 Speaker 2: just don't, they just divide too quickly to ever mature. 305 00:17:06,770 --> 00:17:08,710 Speaker 2: And so as they're doing that, they pick up all 306 00:17:08,770 --> 00:17:13,960 Speaker 2: sorts of new genetic mutations. So the cells of a 307 00:17:14,020 --> 00:17:18,440 Speaker 2: tumor can have a bunch of different, genetically different cells 308 00:17:18,600 --> 00:17:20,940 Speaker 2: because it just starts getting so out of hand. Like 309 00:17:20,980 --> 00:17:23,520 Speaker 2: I guess- At the very beginning of a tumor, the 310 00:17:23,560 --> 00:17:27,840 Speaker 2: cells are probably still relatively similar. But by the time 311 00:17:27,859 --> 00:17:30,270 Speaker 2: you have a big old tumor, it's just this big 312 00:17:30,680 --> 00:17:33,670 Speaker 2: mass of a bunch of weirdo cells that kind of 313 00:17:33,710 --> 00:17:35,909 Speaker 2: like multiplicity with Michael Keaton. 314 00:17:36,450 --> 00:17:40,429 Speaker 1: Right. That's right. And this is I mean, cancer can 315 00:17:40,450 --> 00:17:42,449 Speaker 1: really be insidious when you think about what's going on. 316 00:17:44,290 --> 00:17:47,830 Speaker 1: Cancer cells can also recruit normal normal cells near a tumor. 317 00:17:48,530 --> 00:17:51,530 Speaker 1: to like develop new blood vessels and stuff to help 318 00:17:51,630 --> 00:17:55,030 Speaker 1: keep the tumor alive and like help it kind of 319 00:17:55,070 --> 00:17:57,550 Speaker 1: thrive and help it grow. It's like, hey, here's more 320 00:17:57,670 --> 00:18:02,290 Speaker 1: oxygen and more nutrients because cancer cells are recruiting other 321 00:18:02,350 --> 00:18:04,430 Speaker 1: cells and like turning them to the dark side. 322 00:18:04,800 --> 00:18:06,840 Speaker 2: Yeah, and there's one other thing that they found recently 323 00:18:06,890 --> 00:18:10,540 Speaker 2: is not only can they recruit cells to create new 324 00:18:10,580 --> 00:18:14,580 Speaker 2: blood vessels for them, they can recruit neurons nearby and 325 00:18:14,600 --> 00:18:19,260 Speaker 2: they send phony messages to the brain which then in 326 00:18:19,320 --> 00:18:21,950 Speaker 2: turn sends out this, I can't remember the name of it, 327 00:18:21,960 --> 00:18:24,960 Speaker 2: but it's an immune cell whose job is to basically 328 00:18:25,000 --> 00:18:27,260 Speaker 2: tell all the other immune cells like, hey, you can 329 00:18:27,300 --> 00:18:30,950 Speaker 2: just relax. Everything's all clear. So the brain sends those 330 00:18:31,010 --> 00:18:33,990 Speaker 2: to where the tumor is and the tumor recruits them 331 00:18:34,170 --> 00:18:36,650 Speaker 2: and surrounds itself with a bunch of immune cells that 332 00:18:36,710 --> 00:18:39,869 Speaker 2: tell the body nothing to see here. Keep moving on. 333 00:18:40,400 --> 00:18:44,719 Speaker 2: That's what cancer cells do. That's insane that like something 334 00:18:44,760 --> 00:18:47,820 Speaker 2: can evolve and adapt that quickly because we're talking about 335 00:18:47,859 --> 00:18:50,280 Speaker 2: it doing this on the order of like months or 336 00:18:50,320 --> 00:18:54,199 Speaker 2: a few years, maybe. It's just crazy what cancer is. 337 00:18:54,740 --> 00:18:58,140 Speaker 1: Yeah, for sure. All right. I think maybe we should 338 00:18:58,160 --> 00:18:58,560 Speaker 1: take a break. 339 00:18:58,980 --> 00:19:00,369 Speaker 2: Yeah, I'm starting to get worked up. 340 00:19:00,720 --> 00:19:02,639 Speaker 1: Yeah, that was a good table setting. And we'll come 341 00:19:02,680 --> 00:19:04,900 Speaker 1: back and talk about types of cancer right after this. 342 00:19:32,980 --> 00:19:36,530 Speaker 1: All right, so we're back to talk about types of cancer. 343 00:19:36,810 --> 00:19:39,510 Speaker 1: Like you mentioned from the jump, there are more than 344 00:19:39,510 --> 00:19:43,810 Speaker 1: 200 types of cancer because there are more than 200 345 00:19:43,810 --> 00:19:47,850 Speaker 1: types of cells in the body, and that's no coincidence, obviously. 346 00:19:48,490 --> 00:19:51,399 Speaker 1: They're basically classified according to where they start in the body. 347 00:19:52,340 --> 00:19:54,919 Speaker 1: But that also means that, you know, you can get 348 00:19:55,160 --> 00:19:57,710 Speaker 1: cancer of almost anything anywhere in the body. 349 00:19:58,810 --> 00:20:01,510 Speaker 2: Yeah. And again, I said the most common one is 350 00:20:01,550 --> 00:20:04,850 Speaker 2: a carcinoma. I think 85% of all cancers are carcinomas, 351 00:20:04,910 --> 00:20:09,429 Speaker 2: and those start with epithelial tissue or cells, which or 352 00:20:09,450 --> 00:20:11,929 Speaker 2: like the outside layer of your organs, they make up tissue, 353 00:20:11,970 --> 00:20:14,810 Speaker 2: the skin. And again, it's just because all of us 354 00:20:14,890 --> 00:20:17,409 Speaker 2: are exposed to the sun over the course of our lifetimes. 355 00:20:17,520 --> 00:20:20,639 Speaker 2: And eventually, I guess it's just a game of odds 356 00:20:20,740 --> 00:20:24,360 Speaker 2: that can, you know, some of those cancer cells can 357 00:20:24,420 --> 00:20:27,360 Speaker 2: just overwhelm the immune system as we get older because 358 00:20:27,400 --> 00:20:30,220 Speaker 2: our immune system declines, which is one of the joys 359 00:20:30,260 --> 00:20:31,419 Speaker 2: of aging, it turns out. 360 00:20:31,940 --> 00:20:36,619 Speaker 1: That's right. Lymphoma makes up about 5% of cases. That starts, obviously, 361 00:20:36,640 --> 00:20:39,790 Speaker 1: in the lymph glands. uh, in the lymphatic system and 362 00:20:39,810 --> 00:20:43,390 Speaker 1: the lymphatic system obviously runs throughout your entire body. So 363 00:20:43,410 --> 00:20:47,030 Speaker 1: a lymphoma can start almost anywhere. Um, if you've ever 364 00:20:47,090 --> 00:20:50,670 Speaker 1: heard of a non Hodgkin lymphoma, which is the most 365 00:20:50,710 --> 00:20:55,370 Speaker 1: common or Hodgkin lymphoma, which is Hodgkin's disease. Uh, those 366 00:20:55,410 --> 00:21:00,260 Speaker 1: are the two major subtypes of lymphoma. And, um, you know, 367 00:21:00,300 --> 00:21:03,800 Speaker 1: there is some irony here for sure, because the lymph systems, um, 368 00:21:04,500 --> 00:21:07,290 Speaker 1: clears out cancerous cells from your body as waste. So, uh, 369 00:21:07,800 --> 00:21:10,139 Speaker 1: That's definitely a cruel one. 370 00:21:11,900 --> 00:21:15,530 Speaker 2: There's also leukemia, which is cancer of white blood cells 371 00:21:16,210 --> 00:21:20,970 Speaker 2: that begins in the bone marrow. And that's where white 372 00:21:21,010 --> 00:21:25,010 Speaker 2: blood cells are formed along with red blood cells. And strangely, 373 00:21:25,230 --> 00:21:27,449 Speaker 2: no one has any idea why, but this is the 374 00:21:27,510 --> 00:21:30,830 Speaker 2: most common type of cancer in children. Adults can get 375 00:21:30,869 --> 00:21:34,150 Speaker 2: it too. But if you are a child with cancer, 376 00:21:34,210 --> 00:21:37,950 Speaker 2: it's most likely leukemia, and they just don't understand what 377 00:21:37,970 --> 00:21:39,470 Speaker 2: the problem is there. 378 00:21:40,030 --> 00:21:43,990 Speaker 1: Yeah. Brain and spinal cord cancer is probably one of 379 00:21:44,010 --> 00:21:47,720 Speaker 1: the scariest kinds when you just sort of hear those words, 380 00:21:48,280 --> 00:21:51,820 Speaker 1: like brain tumor. But, you know, I have known people 381 00:21:51,880 --> 00:21:54,300 Speaker 1: who have had brain tumors who are doing just fine. 382 00:21:54,480 --> 00:21:55,300 Speaker 2: Yeah. 383 00:21:55,440 --> 00:21:59,359 Speaker 1: They are central nervous system cancers. And then at, I 384 00:21:59,380 --> 00:22:01,940 Speaker 1: think that's 3% of all cancers, right? 385 00:22:02,290 --> 00:22:02,480 Speaker 2: Yeah. 386 00:22:02,609 --> 00:22:04,870 Speaker 1: And then what do we have at 1%? 387 00:22:04,869 --> 00:22:08,550 Speaker 2: Myeloma is another one that starts in the bone marrow. 388 00:22:08,630 --> 00:22:10,870 Speaker 2: This is plasma cells, which make up the liquid part 389 00:22:10,890 --> 00:22:13,890 Speaker 2: of your blood. But it's also a type of white 390 00:22:13,930 --> 00:22:17,260 Speaker 2: blood cell. So it's created in the bone marrow. And 391 00:22:17,300 --> 00:22:20,860 Speaker 2: I was like, wait, that's two types of bone marrow cancers. 392 00:22:20,900 --> 00:22:22,600 Speaker 2: And it turns out the bone marrow is called a 393 00:22:23,020 --> 00:22:28,230 Speaker 2: metastatic niche cancer. Because it's a magnet for some types 394 00:22:28,290 --> 00:22:30,869 Speaker 2: of cancer cells that go to the bone marrow and 395 00:22:30,910 --> 00:22:33,850 Speaker 2: just set up shop there. This is like an embarrassment 396 00:22:33,890 --> 00:22:35,909 Speaker 2: of riches for all the stuff the cancer can use 397 00:22:35,950 --> 00:22:37,550 Speaker 2: to recruit and protect itself. 398 00:22:38,090 --> 00:22:42,649 Speaker 1: Yeah. And then also 1%, we have sarcoma. That begins 399 00:22:42,710 --> 00:22:46,770 Speaker 1: in the connective tissue or the supportive tissue, like maybe 400 00:22:46,790 --> 00:22:48,970 Speaker 1: in your muscle and your blood vessels and your fat 401 00:22:48,990 --> 00:22:50,330 Speaker 1: or cartilage or even bone. 402 00:22:50,350 --> 00:22:54,640 Speaker 2: Yeah. Chuck, because there's so many different kinds of cancers 403 00:22:54,660 --> 00:22:57,680 Speaker 2: and they do all sorts of different stuff, I've read 404 00:22:57,720 --> 00:23:01,020 Speaker 2: that essentially every case of cancer is totally unique because 405 00:23:01,080 --> 00:23:06,320 Speaker 2: every person's body is totally unique. And so they stage them. 406 00:23:06,359 --> 00:23:09,820 Speaker 2: They basically describe them in different terms. And the two 407 00:23:09,859 --> 00:23:12,520 Speaker 2: things that they base the descriptions on most are size 408 00:23:12,580 --> 00:23:16,420 Speaker 2: and growth. And the whole thing starts with stage zero cancer. 409 00:23:16,440 --> 00:23:19,290 Speaker 2: It goes from stage zero to stage four. And stage 410 00:23:19,330 --> 00:23:22,520 Speaker 2: zero is like you technically don't have cancer. It can 411 00:23:22,560 --> 00:23:25,800 Speaker 2: be precancerous cells. You just have a spot that's acting 412 00:23:25,840 --> 00:23:31,409 Speaker 2: a little weird. And it's mostly curable because the cancer 413 00:23:31,430 --> 00:23:34,170 Speaker 2: hasn't undergone one of the things that makes cancer so 414 00:23:34,210 --> 00:23:37,790 Speaker 2: hard to treat. It hasn't spread to the surrounding tissues. 415 00:23:38,130 --> 00:23:40,590 Speaker 2: So you can just go in, cut out the little growth, 416 00:23:41,010 --> 00:23:43,419 Speaker 2: and you just got all the cancer. You're not leaving 417 00:23:43,480 --> 00:23:45,360 Speaker 2: anything behind. Yeah. 418 00:23:45,560 --> 00:23:49,619 Speaker 1: Here at Stuff You Should Know, we love stage zero cancer. 419 00:23:50,560 --> 00:23:52,080 Speaker 2: It's our favorite kind of cancer. 420 00:23:52,300 --> 00:23:54,810 Speaker 1: As far as cancers go, this is the one we're behind. 421 00:23:54,990 --> 00:23:55,449 Speaker 2: For sure. 422 00:23:55,490 --> 00:23:56,399 Speaker 1: We're not afraid to say it. 423 00:23:56,570 --> 00:23:58,510 Speaker 2: For sure. It even looks pretty. It's got that nice 424 00:23:58,570 --> 00:23:59,650 Speaker 2: round O in the middle. 425 00:24:00,090 --> 00:24:02,370 Speaker 1: Yeah, but nothing in the center of that thing. Right. 426 00:24:03,530 --> 00:24:06,820 Speaker 1: Of course, you have stage one next. They go stage one, two, three, 427 00:24:06,840 --> 00:24:09,980 Speaker 1: and four. Stage one is, you know, it's a little 428 00:24:10,020 --> 00:24:14,500 Speaker 1: bit more cancer. It's smaller, obviously not smaller than zero, 429 00:24:14,540 --> 00:24:17,620 Speaker 1: but smaller than two. It's contained to one area, has 430 00:24:17,700 --> 00:24:21,790 Speaker 1: not spread to the lymph nodes or other areas. which 431 00:24:21,869 --> 00:24:25,280 Speaker 1: is basically where you get to in stage two is 432 00:24:25,490 --> 00:24:28,220 Speaker 1: the tumor is going to be larger and it may 433 00:24:28,260 --> 00:24:30,120 Speaker 1: have spread to the lymph nodes at this point. 434 00:24:30,420 --> 00:24:33,620 Speaker 2: Yeah, and it's almost certainly spread to the surrounding tissue too, 435 00:24:33,680 --> 00:24:38,359 Speaker 2: but it's kind of invisible. The tumor is quite obvious, 436 00:24:38,400 --> 00:24:41,880 Speaker 2: but the spread around the tumor is not quite visible. 437 00:24:41,960 --> 00:24:44,790 Speaker 2: So it makes it harder to get rid of through surgery. 438 00:24:45,869 --> 00:24:50,229 Speaker 2: Stage three, it's grown larger. even bigger and into deeper 439 00:24:50,430 --> 00:24:54,619 Speaker 2: into the surrounding tissues. And it also has probably spread 440 00:24:54,640 --> 00:24:58,620 Speaker 2: to nearby lymph nodes. And then once it spreads, once 441 00:24:58,700 --> 00:25:02,760 Speaker 2: it metastasizes, what it's called, you have entered stage four. 442 00:25:04,030 --> 00:25:08,270 Speaker 1: That's right. That means it's definitely spread outside its original place, 443 00:25:09,070 --> 00:25:12,470 Speaker 1: probably to other organs or anywhere in your body, really. 444 00:25:12,710 --> 00:25:15,710 Speaker 1: And that is metastatic cancer. You may also hear a 445 00:25:15,750 --> 00:25:19,260 Speaker 1: letter sometimes in a diagnosis like stage 2A, and the 446 00:25:19,300 --> 00:25:22,860 Speaker 1: letter will describe an aggressiveness with A being the least 447 00:25:22,920 --> 00:25:26,219 Speaker 1: aggressive all the way up to D being the most aggressive. 448 00:25:26,840 --> 00:25:31,010 Speaker 2: Right. And then words like remission and cure are also used. 449 00:25:32,290 --> 00:25:36,190 Speaker 2: Remission is where the cancer is. It basically describes how 450 00:25:36,230 --> 00:25:39,250 Speaker 2: the cancer is responding to the treatment, right? if the 451 00:25:39,350 --> 00:25:42,210 Speaker 2: cancer is on its heels and it's shrinking and it's 452 00:25:42,270 --> 00:25:45,490 Speaker 2: doing all the stuff you want it to do through treatment, 453 00:25:45,910 --> 00:25:50,380 Speaker 2: it's in remission. That would be partial remission. Complete remission 454 00:25:50,560 --> 00:25:53,119 Speaker 2: is where you've treated the cancer and it can no 455 00:25:53,160 --> 00:25:56,899 Speaker 2: longer be detected in the body. But that doesn't mean 456 00:25:57,100 --> 00:26:01,139 Speaker 2: that it's cured. That's like a whole different term. Yeah. 457 00:26:01,240 --> 00:26:03,420 Speaker 1: I mean, cure is a sort of a dicey word 458 00:26:03,440 --> 00:26:06,960 Speaker 1: when it comes to cancer. Um, That's basically complete remission, 459 00:26:07,500 --> 00:26:11,500 Speaker 1: meaning there's no evidence of the disease. And even though 460 00:26:11,520 --> 00:26:14,790 Speaker 1: there may be a risk of reoccurrence if you're cured, 461 00:26:16,550 --> 00:26:18,630 Speaker 1: basically like five years is what you said. If you're 462 00:26:18,690 --> 00:26:21,470 Speaker 1: in complete remission for five years, you can kind of 463 00:26:22,170 --> 00:26:24,730 Speaker 1: stamp that cure on your forehead proudly. 464 00:26:25,310 --> 00:26:30,250 Speaker 2: I think that doctors are kind of like, I don't 465 00:26:30,290 --> 00:26:32,369 Speaker 2: like to use that word. They're just nervous about it 466 00:26:32,430 --> 00:26:34,250 Speaker 2: coming back, you know? Yeah. 467 00:26:34,730 --> 00:26:37,109 Speaker 1: I mean, I don't know any doctors. Well, I do 468 00:26:37,130 --> 00:26:40,630 Speaker 1: know some doctors actually, but I haven't asked them like 469 00:26:41,210 --> 00:26:43,390 Speaker 1: how they feel about the language around it, you know? 470 00:26:43,609 --> 00:26:45,830 Speaker 2: Yeah. We'll wait if you want to get in touch 471 00:26:45,850 --> 00:26:46,050 Speaker 2: with them. 472 00:26:46,670 --> 00:26:49,690 Speaker 1: No, but we'll hear from doctors, I'm sure. 473 00:26:49,710 --> 00:26:50,929 Speaker 2: Yeah, I hope so. 474 00:26:51,050 --> 00:26:54,270 Speaker 1: And patients. I'm looking forward to getting emails from all 475 00:26:54,290 --> 00:26:55,090 Speaker 1: kinds of people on this. 476 00:26:55,369 --> 00:26:55,840 Speaker 2: For sure. 477 00:26:56,340 --> 00:26:58,820 Speaker 1: So the history is, you know, we're not going to 478 00:26:58,859 --> 00:27:02,560 Speaker 1: get too in the weeds because it's basically a situation 479 00:27:02,619 --> 00:27:07,410 Speaker 1: where They thought black bile was what, you know, caused 480 00:27:07,490 --> 00:27:10,650 Speaker 1: death and disease for many hundreds of years, probably thousands. 481 00:27:11,550 --> 00:27:14,190 Speaker 1: And then there was a Dutch scientist, the father of anatomy, 482 00:27:14,690 --> 00:27:20,560 Speaker 1: Andreas Vesalius, who finally said, you know what? I've looked 483 00:27:20,580 --> 00:27:22,340 Speaker 1: at a lot of dead bodies. I even stole some 484 00:27:22,380 --> 00:27:25,560 Speaker 1: corpses to make it happen. And guess what, everyone? There's 485 00:27:25,600 --> 00:27:28,860 Speaker 1: no black bile in the body. And everyone was like, well, 486 00:27:28,880 --> 00:27:32,380 Speaker 1: why are people dying? That took a little bit longer, 487 00:27:32,400 --> 00:27:37,119 Speaker 1: I think. In 1793, there was an anatomist in London 488 00:27:37,180 --> 00:27:39,320 Speaker 1: named Matthew Bailey. 489 00:27:39,580 --> 00:27:40,340 Speaker 2: That's what I'm going with. 490 00:27:40,880 --> 00:27:43,680 Speaker 1: Yeah, who was like, all right, here's real proof, everyone, 491 00:27:43,700 --> 00:27:48,420 Speaker 1: that cancer isn't black bile. It's, you know, we found 492 00:27:48,460 --> 00:27:50,810 Speaker 1: out that tumors can grow in the body really fast. 493 00:27:51,010 --> 00:27:54,410 Speaker 1: And for a long, long time, it was let's let's 494 00:27:54,650 --> 00:27:57,129 Speaker 1: cut that stuff out of the body and see what happens. 495 00:27:57,800 --> 00:27:59,840 Speaker 2: Yeah, because surgeons were like, oh, it's a tumor. We 496 00:27:59,859 --> 00:28:02,180 Speaker 2: can get rid of that. And I think at first 497 00:28:02,260 --> 00:28:05,240 Speaker 2: they thought this is around 1850 when it really kicked off. 498 00:28:06,500 --> 00:28:09,540 Speaker 2: They initially thought, like, we can totally take care of 499 00:28:09,600 --> 00:28:13,379 Speaker 2: cancer from now on. But what they figured out over time, 500 00:28:13,480 --> 00:28:16,250 Speaker 2: because some of their patients that they treated would come 501 00:28:16,330 --> 00:28:18,830 Speaker 2: down with cancer again, like a year later or something 502 00:28:18,869 --> 00:28:22,230 Speaker 2: like that, was that that cancer would spread kind of 503 00:28:22,350 --> 00:28:25,629 Speaker 2: invisibly deeper into the tissue later. And that just getting 504 00:28:25,690 --> 00:28:28,060 Speaker 2: rid of the tumor wasn't enough because it left too 505 00:28:28,100 --> 00:28:32,240 Speaker 2: much of the cancerous cells to reproliferate and grow again. 506 00:28:32,260 --> 00:28:36,439 Speaker 1: Yeah. And, you know, very sadly, they were like, you know, 507 00:28:36,480 --> 00:28:39,340 Speaker 1: because I think they were so thrilled by the advent 508 00:28:39,380 --> 00:28:43,470 Speaker 1: of successful surgery that they were a little scalpel happy 509 00:28:43,710 --> 00:28:46,750 Speaker 1: and were like, we'll just keep removing stuff then because 510 00:28:46,790 --> 00:28:50,330 Speaker 1: that's how you cure this thing. And that left, you know, 511 00:28:50,370 --> 00:28:54,320 Speaker 1: some disfiguration a lot of times when they just kept 512 00:28:54,540 --> 00:28:58,040 Speaker 1: getting rid of pieces of your body. And it took 513 00:28:58,080 --> 00:29:00,720 Speaker 1: a long time. It took decades before they finally figured 514 00:29:00,800 --> 00:29:04,240 Speaker 1: out that it was a systemic thing and finally understood 515 00:29:04,360 --> 00:29:10,840 Speaker 1: what metastasization is. And then they came up with better treatments, 516 00:29:10,880 --> 00:29:15,100 Speaker 1: starting with x-rays in 1895, right? Mm-hmm. 517 00:29:15,220 --> 00:29:18,410 Speaker 2: That's where they were discovered. And as little as a 518 00:29:18,480 --> 00:29:24,050 Speaker 2: year later, an American medical student named Emil Gruber he 519 00:29:24,070 --> 00:29:26,350 Speaker 2: was like, I'm going to try to use those to 520 00:29:26,410 --> 00:29:30,230 Speaker 2: treat cancer. And he was successful. He successfully treated a 521 00:29:30,270 --> 00:29:33,810 Speaker 2: patient with breast cancer using x-rays. So now you've got radiation, 522 00:29:33,870 --> 00:29:36,710 Speaker 2: which you can go in and cut the tumor out, 523 00:29:36,810 --> 00:29:39,950 Speaker 2: and then you can irradiate what's left. And now things 524 00:29:39,990 --> 00:29:40,770 Speaker 2: are starting to cook. 525 00:29:41,210 --> 00:29:43,910 Speaker 1: Yeah, things are starting to cook a little bit. Chemotherapy 526 00:29:44,030 --> 00:29:47,450 Speaker 1: enters the scene, thanks to kind of a weird story. 527 00:29:47,520 --> 00:29:52,400 Speaker 1: But in the U.S. Army, doctors were conducting autopsies on 528 00:29:52,480 --> 00:29:56,140 Speaker 1: soldiers who died from mustard gas exposure And they're like, hey, 529 00:29:56,240 --> 00:30:01,000 Speaker 1: this gas is attacking white blood cells. So they developed 530 00:30:01,060 --> 00:30:05,790 Speaker 1: a derivative of mustard gas called mechlorethamine. And that became 531 00:30:05,810 --> 00:30:09,010 Speaker 1: the first chemo drug in the 1940s. And they still 532 00:30:09,250 --> 00:30:12,110 Speaker 1: use that sometimes for some types of lymphoma, I think. 533 00:30:12,530 --> 00:30:15,110 Speaker 2: Yeah, because it's a disease of your white blood cells, right? 534 00:30:15,350 --> 00:30:16,330 Speaker 1: Yeah. 535 00:30:16,450 --> 00:30:20,020 Speaker 2: There's a guy who is basically synonymous with chemotherapy. His 536 00:30:20,040 --> 00:30:25,030 Speaker 2: name is Sidney Farber. The Dana-Farber Cancer Institute is named 537 00:30:25,110 --> 00:30:29,060 Speaker 2: after him, and it is world-renowned. And it's also, I found, 538 00:30:29,100 --> 00:30:33,020 Speaker 2: a really great resource for info, really understandable but detailed 539 00:30:33,080 --> 00:30:37,219 Speaker 2: info on cancer. Yeah. He came up with a cancer 540 00:30:37,240 --> 00:30:41,720 Speaker 2: drug for treating leukemia in children, aminopterin, I think is 541 00:30:41,740 --> 00:30:44,580 Speaker 2: what it was called. And that was back in 1947. 542 00:30:44,580 --> 00:30:48,990 Speaker 2: So if you see photos of him after 1947, he 543 00:30:49,070 --> 00:30:51,010 Speaker 2: usually has a little halo over his head. 544 00:30:51,290 --> 00:30:51,430 Speaker 1: Mm-hmm. 545 00:30:52,860 --> 00:30:55,080 Speaker 2: The thing is, and we're going to see this after 546 00:30:55,100 --> 00:31:01,530 Speaker 2: we take a break, but chemotherapy is a very blunt instrument, right? 547 00:31:02,170 --> 00:31:07,010 Speaker 2: I've heard a kind of an oncological gallows humor before 548 00:31:07,050 --> 00:31:11,030 Speaker 2: that basically says, with chemotherapy, you're trying to kill the 549 00:31:11,090 --> 00:31:13,940 Speaker 2: tumor before you kill the patient. Yeah. Because it just 550 00:31:14,000 --> 00:31:18,000 Speaker 2: goes in and it wipes out so much stuff that 551 00:31:18,280 --> 00:31:22,640 Speaker 2: you don't want to wipe out. It's just not very targeted. Yeah. 552 00:31:23,050 --> 00:31:26,330 Speaker 2: But again, as we'll see, it's gotten a lot better 553 00:31:26,810 --> 00:31:27,350 Speaker 2: over time. 554 00:31:27,810 --> 00:31:31,730 Speaker 1: Yeah, and a lot better to take thanks to some 555 00:31:31,770 --> 00:31:35,550 Speaker 1: great new nausea drugs because nausea and fatigue are two 556 00:31:35,570 --> 00:31:37,580 Speaker 1: of the biggest rough parts of chemotherapy. 557 00:31:38,280 --> 00:31:40,040 Speaker 2: Yeah, I've heard that for sure. 558 00:31:41,320 --> 00:31:42,620 Speaker 1: All right, should we take our second break? 559 00:31:43,160 --> 00:31:43,700 Speaker 2: Yes, please. 560 00:31:44,200 --> 00:31:45,780 Speaker 1: All right, we're going to come back and we're going 561 00:31:45,800 --> 00:31:48,100 Speaker 1: to talk about treatment because there's a lot of great 562 00:31:48,140 --> 00:31:49,680 Speaker 1: stuff going on, you guys. We'll be right back. 563 00:32:17,840 --> 00:32:20,990 Speaker 2: So, Chuck, two things. The first one is I've always 564 00:32:21,030 --> 00:32:24,000 Speaker 2: wondered if cancer was actually a relatively recent thing, like 565 00:32:24,220 --> 00:32:27,250 Speaker 2: maybe from... the industrial revolution on. 566 00:32:27,310 --> 00:32:28,730 Speaker 1: Right. Yeah. I used to wonder that too. 567 00:32:29,050 --> 00:32:33,970 Speaker 2: Absolutely not. I mean, I think Imhotep described it 4,700 568 00:32:33,970 --> 00:32:37,920 Speaker 2: years ago, breast cancer. So it's been around a really 569 00:32:37,980 --> 00:32:41,060 Speaker 2: long time. The reason it's only kind of recently come 570 00:32:41,220 --> 00:32:45,240 Speaker 2: under investigation and study is because we used to die 571 00:32:45,660 --> 00:32:48,780 Speaker 2: from a bunch of other stuff, mostly communicable diseases and 572 00:32:49,930 --> 00:32:52,530 Speaker 2: rather than cancer. It was pretty low on the list. 573 00:32:52,570 --> 00:32:54,270 Speaker 2: And then as we started to take care of those 574 00:32:54,310 --> 00:32:59,050 Speaker 2: other communicable diseases, then cancer suddenly became a much bigger 575 00:32:59,090 --> 00:33:00,530 Speaker 2: problem than it had been before. 576 00:33:01,270 --> 00:33:04,860 Speaker 1: Yeah, for sure. And the reason that we haven't, you know, 577 00:33:05,780 --> 00:33:09,360 Speaker 1: developed like a complete just cure-all for cancer is because 578 00:33:09,380 --> 00:33:12,780 Speaker 1: that no two cancers are the same. They all develop 579 00:33:13,040 --> 00:33:16,700 Speaker 1: in different ways. And they're doing a lot of research 580 00:33:17,430 --> 00:33:19,090 Speaker 1: You know, we'll talk about some of the like more 581 00:33:19,130 --> 00:33:22,930 Speaker 1: breakthrough stuff they're doing. But right now, what the standard 582 00:33:22,970 --> 00:33:26,520 Speaker 1: practice kind of still is, if you have a malignant tumor, 583 00:33:26,680 --> 00:33:30,760 Speaker 1: is to shrink that tumor with targeted radiation and then 584 00:33:30,920 --> 00:33:35,140 Speaker 1: remove that tumor and then prescribe a course of chemotherapy, 585 00:33:35,520 --> 00:33:39,030 Speaker 1: which is probably like more than one chemotherapy drug to 586 00:33:39,230 --> 00:33:43,090 Speaker 1: eradicate what cancer is remaining in your body and to 587 00:33:43,310 --> 00:33:46,510 Speaker 1: hopefully stave off metastasis. Yeah. 588 00:33:47,670 --> 00:33:52,260 Speaker 2: And you'll do that round of chemotherapy, wait a little while, 589 00:33:52,480 --> 00:33:54,500 Speaker 2: and then they'll test you and see what effects it had. 590 00:33:54,940 --> 00:33:56,720 Speaker 2: And then if it's still there, you do another round, 591 00:33:56,740 --> 00:34:00,460 Speaker 2: another round and test after each time until eventually they're like, 592 00:34:00,520 --> 00:34:03,850 Speaker 2: we can't detect cancer anymore. And now you're in full remission, 593 00:34:04,330 --> 00:34:05,230 Speaker 2: hopefully forever. 594 00:34:05,990 --> 00:34:09,390 Speaker 1: Yeah. If you don't have a tumor, like you said earlier, 595 00:34:09,410 --> 00:34:12,630 Speaker 1: if it's like a cancer of the blood, chemotherapy is 596 00:34:12,650 --> 00:34:18,630 Speaker 1: your main defense there. and probably radiation as well. And also, 597 00:34:19,270 --> 00:34:21,450 Speaker 1: you've probably heard of like a bone marrow transplant or 598 00:34:21,510 --> 00:34:22,600 Speaker 1: stem cell transplant. 599 00:34:22,640 --> 00:34:23,440 Speaker 2: Yeah. 600 00:34:23,480 --> 00:34:25,660 Speaker 1: That's also used in cases like leukemia. 601 00:34:26,000 --> 00:34:28,300 Speaker 2: I was looking into that, and it's apparently not nearly 602 00:34:28,340 --> 00:34:31,020 Speaker 2: as bad as it's been made out to be. Everyone's like, 603 00:34:31,080 --> 00:34:34,000 Speaker 2: it's the most painful thing you could possibly do. And also, 604 00:34:34,040 --> 00:34:36,880 Speaker 2: apparently only 10% of people who apply to be donors 605 00:34:37,420 --> 00:34:40,669 Speaker 2: actually end up donating marrow. Most of the others, their 606 00:34:40,770 --> 00:34:44,710 Speaker 2: plasma will do instead. So you end up basically donating blood. 607 00:34:46,000 --> 00:34:49,400 Speaker 1: Uh, chemotherapy, like I mentioned before the break is, um, 608 00:34:50,180 --> 00:34:52,040 Speaker 1: a lot better than it was even like 10 or 609 00:34:52,040 --> 00:34:56,270 Speaker 1: 15 years ago because this, uh, serotonin antagonist, which is 610 00:34:56,310 --> 00:35:00,049 Speaker 1: a new class of anti-nausea drugs really can help block, uh, 611 00:35:00,110 --> 00:35:01,610 Speaker 1: block the nausea receptors in the brain. 612 00:35:01,730 --> 00:35:01,950 Speaker 2: Right. 613 00:35:02,730 --> 00:35:04,779 Speaker 1: And I know, you know, just from like family and 614 00:35:04,800 --> 00:35:08,210 Speaker 1: stuff that that's, That was one of the worst parts. 615 00:35:08,250 --> 00:35:10,480 Speaker 1: And I'm sure it's still no picnic, but those have 616 00:35:10,500 --> 00:35:10,980 Speaker 1: really helped. 617 00:35:11,200 --> 00:35:14,620 Speaker 2: Yeah. I mean, just what a horrible thing going in 618 00:35:14,660 --> 00:35:17,300 Speaker 2: to get chemotherapy, knowing that you're going to get horribly 619 00:35:17,360 --> 00:35:22,260 Speaker 2: nauseated for a while. The dread has to be really serious, 620 00:35:22,280 --> 00:35:23,720 Speaker 2: you know? Yeah. 621 00:35:23,780 --> 00:35:28,770 Speaker 1: I mean, one of our friends of you and me 622 00:35:28,950 --> 00:35:34,420 Speaker 1: have recently underwent cancer, the jaw surgery. And Boy, the 623 00:35:34,440 --> 00:35:38,000 Speaker 1: way he described just the pain of that surgery and 624 00:35:38,060 --> 00:35:42,000 Speaker 1: what he felt like the next day was was brutal. 625 00:35:43,020 --> 00:35:44,520 Speaker 1: I don't think I have the exact words here on 626 00:35:44,540 --> 00:35:46,060 Speaker 1: my on my text. I don't know if I'd read 627 00:35:46,080 --> 00:35:49,259 Speaker 1: him anyway, but he basically was like he felt like 628 00:35:49,280 --> 00:35:51,049 Speaker 1: he'd gotten run over by a truck. And that was 629 00:35:51,110 --> 00:35:52,790 Speaker 1: just like post post-op. 630 00:35:53,150 --> 00:35:56,049 Speaker 2: I mean, geez, that was just after the surgery, you say? 631 00:35:56,830 --> 00:35:59,230 Speaker 1: Yeah, for sure. But he's doing great. 632 00:35:59,570 --> 00:35:59,770 Speaker 2: Good. 633 00:36:00,310 --> 00:36:00,590 Speaker 1: Good. 634 00:36:00,630 --> 00:36:04,910 Speaker 2: I'm glad. So, yeah, surgery is a big part of it. 635 00:36:05,510 --> 00:36:09,009 Speaker 2: If it's a tumor, obviously, if it's a cancer of 636 00:36:09,030 --> 00:36:10,730 Speaker 2: the blood and there's no tumor, they're not doing that, 637 00:36:10,750 --> 00:36:15,359 Speaker 2: like you said. But you promised cutting edge stuff, right? 638 00:36:16,040 --> 00:36:18,339 Speaker 2: And something that is still, you can kind of call 639 00:36:18,380 --> 00:36:21,279 Speaker 2: it cutting edge just because it's so gee whiz, but 640 00:36:21,320 --> 00:36:25,410 Speaker 2: it's starting to become much more prevalent and available throughout 641 00:36:25,489 --> 00:36:29,690 Speaker 2: the West. It's a form of immunotherapy, right? which is 642 00:36:29,730 --> 00:36:34,489 Speaker 2: basically training your immune system to target cancer cells in 643 00:36:34,530 --> 00:36:38,089 Speaker 2: the same way that it targets foreign invaders. Because again, 644 00:36:38,130 --> 00:36:41,740 Speaker 2: cancer is not a foreign invader, and it's very, very 645 00:36:41,800 --> 00:36:46,520 Speaker 2: clever at using the body's own immune system to prevent 646 00:36:46,540 --> 00:36:49,879 Speaker 2: it from being attacked, right? I was thinking about this, Chuck. 647 00:36:50,280 --> 00:36:53,620 Speaker 2: Cancer is like one of those rogue agents in a 648 00:36:53,680 --> 00:36:57,360 Speaker 2: movie that was trained by the very agency that now. 649 00:36:57,300 --> 00:37:00,690 Speaker 1: Seeks to kill it. Yeah, it's a good metaphor. 650 00:37:01,710 --> 00:37:03,629 Speaker 2: Thanks, man. I've been working on it for a couple 651 00:37:03,650 --> 00:37:04,210 Speaker 2: of weeks now. 652 00:37:05,630 --> 00:37:08,410 Speaker 1: So, yeah, you know, your body generally does a pretty 653 00:37:08,430 --> 00:37:10,089 Speaker 1: good job of doing that kind of thing, but not 654 00:37:10,110 --> 00:37:12,549 Speaker 1: in the case of cancer. So they're working on therapies that, 655 00:37:12,690 --> 00:37:15,390 Speaker 1: like you said, can train your body to do that. 656 00:37:16,030 --> 00:37:18,239 Speaker 1: And I guess the leading or I guess one of 657 00:37:18,260 --> 00:37:22,859 Speaker 1: the leading methods is called CAR T-cell therapy. In this case, 658 00:37:22,920 --> 00:37:26,980 Speaker 1: the CAR stands for chimeric antigen receptor, which is a 659 00:37:27,000 --> 00:37:30,439 Speaker 1: targeted receptor for for the type of cancer cells that 660 00:37:30,560 --> 00:37:31,460 Speaker 1: invade your body. 661 00:37:32,440 --> 00:37:34,720 Speaker 2: Right. So they basically just take some of your blood, 662 00:37:34,860 --> 00:37:37,719 Speaker 2: they separate the T cells, your immune cells, out of it, 663 00:37:38,380 --> 00:37:41,640 Speaker 2: and they use CRISPR. Did we do a whole episode 664 00:37:41,700 --> 00:37:44,339 Speaker 2: on CRISPR, the gene editing technology? I feel like we did. 665 00:37:44,920 --> 00:37:46,880 Speaker 1: It was either a whole episode or it came up 666 00:37:46,900 --> 00:37:48,980 Speaker 1: pretty heavily in more than one back in the day. 667 00:37:49,100 --> 00:37:52,969 Speaker 2: Okay. But it's a tool for basically you use a 668 00:37:53,030 --> 00:37:55,569 Speaker 2: virus that has the genes you want in it, and 669 00:37:55,590 --> 00:37:58,989 Speaker 2: the virus is... whatever disease it spreads is turned off. 670 00:37:59,350 --> 00:38:02,819 Speaker 2: And you insert that into like a T cell. And 671 00:38:02,890 --> 00:38:05,219 Speaker 2: now the T cell has the genes you want. And 672 00:38:05,260 --> 00:38:09,299 Speaker 2: those genes get the T cell to express the same 673 00:38:09,360 --> 00:38:12,540 Speaker 2: proteins that are in that kind of cancer So now 674 00:38:12,580 --> 00:38:14,580 Speaker 2: you put the T cells back in you after you 675 00:38:14,960 --> 00:38:17,120 Speaker 2: proliferate them for a while. And there's a bunch of 676 00:38:17,160 --> 00:38:19,550 Speaker 2: T cells running around telling the rest of your immune system, 677 00:38:19,610 --> 00:38:21,989 Speaker 2: look for this. Do you see this protein right here? 678 00:38:22,310 --> 00:38:24,830 Speaker 2: This is what we're looking for. And in other cases, 679 00:38:25,170 --> 00:38:27,910 Speaker 2: it can cause T cells to grow the kind of 680 00:38:27,969 --> 00:38:32,090 Speaker 2: receptors that it needs to attack and latch on to cancer, 681 00:38:32,390 --> 00:38:35,510 Speaker 2: just like it would any foreign invader. So I have 682 00:38:35,780 --> 00:38:39,100 Speaker 2: a neighbor friend who underwent CAR T cell therapy. 683 00:38:39,480 --> 00:38:44,010 Speaker 1: Yeah, that's amazing. Some other gene therapy techniques that are, 684 00:38:44,340 --> 00:38:47,810 Speaker 1: I guess, still in the testing stage, we mentioned that 685 00:38:47,850 --> 00:38:51,890 Speaker 1: p53 protein. That's the one that says, like, hey, we've 686 00:38:51,910 --> 00:38:54,730 Speaker 1: done our job. It's time to self-destruct. And that's the 687 00:38:54,790 --> 00:38:57,950 Speaker 1: one cancer cells don't have. So some gene therapy techniques 688 00:38:58,469 --> 00:39:02,750 Speaker 1: include turning on that p53 protein in cancer cells so 689 00:39:02,790 --> 00:39:05,110 Speaker 1: they either self-destruct or at least stop dividing. 690 00:39:06,010 --> 00:39:06,170 Speaker 2: Right. 691 00:39:06,580 --> 00:39:07,020 Speaker 1: It's amazing. 692 00:39:07,200 --> 00:39:10,920 Speaker 2: Yeah, there's others that there's genes that basically turn the 693 00:39:10,960 --> 00:39:14,430 Speaker 2: cells into magnets for immune cells. And then I saw 694 00:39:14,469 --> 00:39:18,209 Speaker 2: another one where they can turn the they can make 695 00:39:18,390 --> 00:39:24,469 Speaker 2: the cancer cell mature finally. Right. And so they. 696 00:39:23,890 --> 00:39:26,530 Speaker 1: Will have a job basically. 697 00:39:26,890 --> 00:39:29,210 Speaker 2: And get this. They found that the vast majority of 698 00:39:29,250 --> 00:39:36,359 Speaker 2: those cells. basically pull the plug. They undergo apoptosis, they self-destruct. 699 00:39:36,739 --> 00:39:39,300 Speaker 2: So they'd rather die than have a job, the cancer 700 00:39:39,320 --> 00:39:41,580 Speaker 2: cells would. Isn't that crazy? 701 00:39:42,239 --> 00:39:44,279 Speaker 1: Cancer cells are Gen X, in other words. 702 00:39:44,840 --> 00:39:45,550 Speaker 2: Pretty much. 703 00:39:46,770 --> 00:39:49,150 Speaker 1: Wow, that's that's incredible. I didn't know about that one. 704 00:39:49,830 --> 00:39:53,750 Speaker 1: They also have on the horizon personalized cancer vaccines. Right. 705 00:39:54,530 --> 00:39:58,010 Speaker 1: That's a new treatment designed to basically prime your immune 706 00:39:58,050 --> 00:40:03,239 Speaker 1: system to target cancer cells to reduce recurrence risk. And, 707 00:40:04,140 --> 00:40:06,560 Speaker 1: you know, obviously, hopefully like kind of fewer side effects 708 00:40:06,600 --> 00:40:08,080 Speaker 1: than something like chemotherapy. 709 00:40:08,239 --> 00:40:10,719 Speaker 2: Yeah. And it's not good that they use the word 710 00:40:10,760 --> 00:40:12,779 Speaker 2: vaccines because it suggests that you can go get the 711 00:40:12,820 --> 00:40:14,910 Speaker 2: vaccine before you have cancer and they'll keep you from 712 00:40:14,950 --> 00:40:17,719 Speaker 2: having cancer. And that's not the case. It's vaccine in 713 00:40:17,760 --> 00:40:19,950 Speaker 2: the sense that it primes your immune system to fight 714 00:40:19,989 --> 00:40:24,090 Speaker 2: cancer better, but it's personalized, right? So they take your 715 00:40:24,670 --> 00:40:29,950 Speaker 2: cancer and examine it and then figure out what treatment 716 00:40:30,850 --> 00:40:34,390 Speaker 2: will best defeat your specific cancer. And that's part of 717 00:40:34,430 --> 00:40:36,910 Speaker 2: a larger kind of push that's going on now. It's 718 00:40:36,930 --> 00:40:42,350 Speaker 2: called precision oncology, which is you're studying the individual patient's 719 00:40:42,390 --> 00:40:47,739 Speaker 2: cancer to defeat it. Now that we have genomic... scans 720 00:40:48,200 --> 00:40:50,859 Speaker 2: that you can really kind of go through the DNA 721 00:40:50,910 --> 00:40:53,690 Speaker 2: of a cell pretty quickly and find the mutations and 722 00:40:53,710 --> 00:40:56,910 Speaker 2: then figure out how to use those mutations against the cancer. That's, 723 00:40:57,170 --> 00:41:00,750 Speaker 2: I mean, this is, it's a really great frontier that 724 00:41:00,770 --> 00:41:02,790 Speaker 2: we're on right now. It's very hopeful. 725 00:41:03,550 --> 00:41:05,950 Speaker 1: Yeah, for sure. You know, we do have done a 726 00:41:05,969 --> 00:41:08,700 Speaker 1: lot of AI poo-pooing on the show, but one of 727 00:41:08,719 --> 00:41:11,600 Speaker 1: the great benefits of AI is that it's already kind 728 00:41:11,640 --> 00:41:16,400 Speaker 1: of stepped up in cancer treatment and And sort of 729 00:41:16,420 --> 00:41:20,770 Speaker 1: cancer diagnoses, it seems like, like maybe having, along with 730 00:41:20,830 --> 00:41:25,270 Speaker 1: a human radiologist, having AI looking at radiology scans to 731 00:41:25,330 --> 00:41:30,250 Speaker 1: detect tumors that maybe a radiologist doesn't notice. Maybe also 732 00:41:30,310 --> 00:41:33,880 Speaker 1: to help predict risk. I know there's an AI MIT 733 00:41:33,920 --> 00:41:36,700 Speaker 1: model that's able to predict a person's risk of developing 734 00:41:37,219 --> 00:41:41,339 Speaker 1: lung cancer six years in advance. And that's amazing because, 735 00:41:41,360 --> 00:41:44,180 Speaker 1: you know, as we've kind of hammered home already, Like 736 00:41:44,320 --> 00:41:48,080 Speaker 1: the whole trick to cancer is getting an early diagnosis 737 00:41:48,239 --> 00:41:49,799 Speaker 1: and start going at it right away. 738 00:41:50,400 --> 00:41:54,000 Speaker 2: Yeah, and that's the big money part right there is 739 00:41:54,120 --> 00:41:59,739 Speaker 2: detecting it early. And because of things like screening and 740 00:41:59,800 --> 00:42:03,060 Speaker 2: other kinds of detection that we have and routinely use 741 00:42:03,100 --> 00:42:06,450 Speaker 2: in the West, that's why cancer rates are going down. 742 00:42:06,930 --> 00:42:10,430 Speaker 2: But like I said before, the developing world is pushing 743 00:42:10,550 --> 00:42:13,339 Speaker 2: cancer rates up So much so that the World Health 744 00:42:13,420 --> 00:42:18,850 Speaker 2: Organization is expecting cancer diagnoses to increase 77% by 2050 745 00:42:18,850 --> 00:42:27,690 Speaker 2: over 2023. So in just over 25 years, almost 100% increase. 746 00:42:27,730 --> 00:42:30,410 Speaker 2: I'm just going to say it. 77% is close enough 747 00:42:30,450 --> 00:42:33,530 Speaker 2: to 100% when we're talking about that level of increase 748 00:42:33,570 --> 00:42:34,830 Speaker 2: of cancer diagnoses. 749 00:42:35,730 --> 00:42:38,279 Speaker 1: Yeah, for sure. You know, we talked a little bit 750 00:42:38,300 --> 00:42:43,450 Speaker 1: about risk factors already. things that you can control like alcohol, obesity, 751 00:42:44,230 --> 00:42:48,580 Speaker 1: certainly tobacco and sun exposure, things like that. There is 752 00:42:48,600 --> 00:42:54,859 Speaker 1: an interesting emerging field called psychoneuroimmunology, which is a branch 753 00:42:54,900 --> 00:42:58,020 Speaker 1: of Western medicine that acknowledges the effect of the brain 754 00:42:58,040 --> 00:43:01,300 Speaker 1: or your mind really on the systems of the body. 755 00:43:01,620 --> 00:43:07,380 Speaker 1: And I don't think it's like a woo-woo stuff to 756 00:43:07,440 --> 00:43:11,560 Speaker 1: say that a real person real deep will to live 757 00:43:12,660 --> 00:43:17,430 Speaker 1: can make a difference if you're, you know, up against cancer. 758 00:43:18,350 --> 00:43:19,930 Speaker 1: And it can work the other way too. And I've 759 00:43:19,969 --> 00:43:22,330 Speaker 1: seen this as well when someone is like, you know what, 760 00:43:23,110 --> 00:43:26,689 Speaker 1: this isn't the life I want and I'm done because 761 00:43:26,730 --> 00:43:29,390 Speaker 1: it's just, it's time for me. And I've seen people 762 00:43:29,430 --> 00:43:32,450 Speaker 1: go very quickly after someone has sort of made that decision. 763 00:43:32,530 --> 00:43:34,660 Speaker 1: So there's something to it for sure. 764 00:43:34,840 --> 00:43:37,900 Speaker 2: Yeah, they definitely started to research that more and more. 765 00:43:37,940 --> 00:43:40,960 Speaker 2: It seems... kind of thin, the amount of it that's 766 00:43:41,040 --> 00:43:43,739 Speaker 2: out now. But this investigation into what the will to 767 00:43:43,780 --> 00:43:46,120 Speaker 2: live is and then, yeah, like how to prime it 768 00:43:46,180 --> 00:43:50,890 Speaker 2: in people is it's definitely being investigated now. And it 769 00:43:50,930 --> 00:43:53,350 Speaker 2: does seem to be a thing for sure. Yeah. 770 00:43:53,570 --> 00:43:57,350 Speaker 1: And, you know, on that sort of last note around 771 00:43:57,370 --> 00:44:01,450 Speaker 1: the language, when someone has chosen to not continue treatment, 772 00:44:02,530 --> 00:44:04,670 Speaker 1: the way people talk about it is changing, I think, 773 00:44:04,969 --> 00:44:08,770 Speaker 1: probably for the better, because You know, you shouldn't say 774 00:44:08,810 --> 00:44:13,040 Speaker 1: like someone has given up the fight because it indicates 775 00:44:13,080 --> 00:44:18,680 Speaker 1: that they're like quitting something or surrendering. And that, in fact, 776 00:44:18,739 --> 00:44:21,660 Speaker 1: is like one of the bravest things you can do, 777 00:44:21,739 --> 00:44:22,030 Speaker 1: I think. 778 00:44:22,469 --> 00:44:26,930 Speaker 2: Yeah, that's yeah. I mean, it's definitely because you're just 779 00:44:26,950 --> 00:44:29,330 Speaker 2: saying like, OK, I'm accepting my fate. And that is 780 00:44:29,969 --> 00:44:34,069 Speaker 2: incredibly brave. Um, yeah. And not just saying like giving 781 00:44:34,130 --> 00:44:38,340 Speaker 2: up the battle with cancer, just using framing, cancer treatment 782 00:44:38,400 --> 00:44:43,320 Speaker 2: and cancer disease in terms of fighting and battling implies 783 00:44:43,400 --> 00:44:45,940 Speaker 2: things like that, that, you know, you don't have the 784 00:44:45,980 --> 00:44:49,470 Speaker 2: guts to keep fighting, you know, or you're, you're quitting 785 00:44:49,530 --> 00:44:52,390 Speaker 2: or you're surrendering is another way to put it. Um, 786 00:44:52,590 --> 00:44:56,730 Speaker 2: and for some people, yes, like battle fighting, it definitely 787 00:44:56,770 --> 00:44:59,629 Speaker 2: inspires them. So no one's saying like, don't use those 788 00:44:59,670 --> 00:45:02,810 Speaker 2: terms anymore. It's just that for other people, they're like, 789 00:45:03,030 --> 00:45:05,730 Speaker 2: I don't like this is making me feel bad. Like 790 00:45:05,810 --> 00:45:10,239 Speaker 2: I'm responsible for my own death. Those people, they're like, 791 00:45:10,620 --> 00:45:14,060 Speaker 2: you know, call it your journey with cancer, living with cancer, 792 00:45:14,760 --> 00:45:19,200 Speaker 2: treating your cancer, more neutral terms, less fighty terms. And 793 00:45:19,980 --> 00:45:24,040 Speaker 2: they just say, researchers say, follow the patient's lead on 794 00:45:24,860 --> 00:45:28,350 Speaker 2: which way, like how you frame the terms of cancer, 795 00:45:28,390 --> 00:45:31,260 Speaker 2: living with cancer and treating cancer. And I mean, that's 796 00:45:31,469 --> 00:45:33,299 Speaker 2: super valid. For sure. 797 00:45:33,320 --> 00:45:36,529 Speaker 1: And, and if you know someone in your life that is, is, uh, 798 00:45:37,170 --> 00:45:41,089 Speaker 1: accepted that it's, it's time for them, like that's when 799 00:45:41,110 --> 00:45:44,870 Speaker 1: they need like your, your support and love more than ever. 800 00:45:44,969 --> 00:45:48,150 Speaker 1: I think it's in, um, I mean, I would just 801 00:45:48,230 --> 00:45:52,739 Speaker 1: recommend to not, uh, Not like be devastated in front 802 00:45:52,780 --> 00:45:53,460 Speaker 1: of them, at least. 803 00:45:53,680 --> 00:45:53,899 Speaker 2: Right. 804 00:45:54,140 --> 00:45:56,910 Speaker 1: And to try and try and support that decision, you know, 805 00:45:56,930 --> 00:45:58,890 Speaker 1: because that's a that's a brave thing to accept. 806 00:45:59,070 --> 00:46:01,670 Speaker 2: That's got to be tough for a kid to understand 807 00:46:02,030 --> 00:46:03,230 Speaker 2: and accept, too, you know? 808 00:46:03,810 --> 00:46:04,049 Speaker 1: Yeah. 809 00:46:04,550 --> 00:46:08,069 Speaker 2: There was a member that that episode of The Pit 810 00:46:08,210 --> 00:46:09,549 Speaker 2: that really dealt with that. 811 00:46:10,730 --> 00:46:12,790 Speaker 1: Oh, yeah. That was Lord gut wrenching. 812 00:46:14,410 --> 00:46:17,130 Speaker 2: I've got one quick soapbox PSA. That's OK. 813 00:46:17,989 --> 00:46:18,529 Speaker 1: Yeah, let's do it. 814 00:46:18,700 --> 00:46:24,140 Speaker 2: So in the United States, mammograms are covered by insurance. 815 00:46:24,180 --> 00:46:28,640 Speaker 2: The problem is, is that you very often need a 816 00:46:28,719 --> 00:46:33,450 Speaker 2: follow-up because they're like, this mammogram's good enough, but not quite. 817 00:46:33,489 --> 00:46:35,469 Speaker 2: There's this thing in here I want to see closer. 818 00:46:35,790 --> 00:46:38,810 Speaker 2: Let's take a look. And it's probably nothing. In most cases, 819 00:46:38,870 --> 00:46:41,370 Speaker 2: it is nothing. But they do that because they're like, 820 00:46:41,390 --> 00:46:44,430 Speaker 2: we don't want to miss something that's really important. The 821 00:46:44,610 --> 00:46:48,739 Speaker 2: follow-up is, imaging is not covered by insurance. So there's 822 00:46:49,620 --> 00:46:51,700 Speaker 2: plenty of women out there who are like, I don't 823 00:46:51,760 --> 00:46:53,960 Speaker 2: have the money to pay out of pocket for a 824 00:46:54,020 --> 00:46:57,100 Speaker 2: CT scan. So I'm just not going to go get 825 00:46:57,120 --> 00:47:00,440 Speaker 2: the follow-up imaging and cross my fingers. So there's bills 826 00:47:00,500 --> 00:47:03,600 Speaker 2: floating around there, basically like insurance companies, you have to 827 00:47:03,660 --> 00:47:07,419 Speaker 2: cover all follow-up imaging as well. Like you can't just 828 00:47:08,080 --> 00:47:10,939 Speaker 2: do the bare minimum. It's just not going to work 829 00:47:10,980 --> 00:47:12,960 Speaker 2: for people anymore, hopefully. 830 00:47:13,700 --> 00:47:18,680 Speaker 1: Yeah. And mammograms suck. It's an awful process that's like 831 00:47:18,860 --> 00:47:23,140 Speaker 1: already there's an incentive to avoid something like that. So 832 00:47:24,140 --> 00:47:27,939 Speaker 1: insurance companies, we've ranted before, but they need to step 833 00:47:27,960 --> 00:47:29,340 Speaker 1: it up in a lot of ways. That's certainly one 834 00:47:29,360 --> 00:47:32,799 Speaker 1: of them. And also, as we mentioned before, with the 835 00:47:32,940 --> 00:47:37,540 Speaker 1: increased rate of colorectal cancer in younger adults, make them 836 00:47:37,900 --> 00:47:41,960 Speaker 1: available to be covered in your 30s. There's probably not 837 00:47:41,980 --> 00:47:43,940 Speaker 1: a lot of 30-year-olds that have the gumption to be like, 838 00:47:43,960 --> 00:47:45,569 Speaker 1: you know what, I'm going to go ahead and get 839 00:47:45,690 --> 00:47:49,550 Speaker 1: a colonoscopy at 35 years old. But if they want to, 840 00:47:50,590 --> 00:47:51,920 Speaker 1: then it should well be covered. 841 00:47:51,980 --> 00:47:56,700 Speaker 2: Totally. For sure. Wow. That was a good one, Chuck. 842 00:47:57,219 --> 00:48:00,380 Speaker 2: Nicely done. We made it. I would say, do you 843 00:48:00,400 --> 00:48:02,259 Speaker 2: have anything else about cancer? But I know you do. 844 00:48:02,420 --> 00:48:05,160 Speaker 2: So we're just going to say this one's wrapped up. 845 00:48:05,739 --> 00:48:06,720 Speaker 1: That's right. 846 00:48:06,840 --> 00:48:09,180 Speaker 2: Since we just wrapped this episode on cancer up, that 847 00:48:09,219 --> 00:48:11,010 Speaker 2: means it's time for listener mail, of course. 848 00:48:13,590 --> 00:48:16,190 Speaker 1: That's right. I'm going to finish with a very heartwarming story, 849 00:48:16,230 --> 00:48:18,230 Speaker 1: which is a good way to end this one. 850 00:48:18,630 --> 00:48:19,570 Speaker 2: Awesome. 851 00:48:19,770 --> 00:48:23,110 Speaker 1: This was from our phone books short stuff when we 852 00:48:23,150 --> 00:48:25,390 Speaker 1: talked about sort of randomly calling the wrong person with 853 00:48:25,410 --> 00:48:28,090 Speaker 1: the same name. Hey, guys, when I was 15, I 854 00:48:28,110 --> 00:48:29,890 Speaker 1: tried to call someone in our friend group. I looked 855 00:48:29,910 --> 00:48:32,110 Speaker 1: up the last name, found a long list of entries 856 00:48:32,130 --> 00:48:33,850 Speaker 1: and put a small dot and pin next to each 857 00:48:34,270 --> 00:48:36,950 Speaker 1: name of someone I thought lived in our school district. 858 00:48:37,010 --> 00:48:39,469 Speaker 1: I still have that phone book with the markings and 859 00:48:39,489 --> 00:48:42,100 Speaker 1: you'll see why. Thankfully, two towns in our area had 860 00:48:42,140 --> 00:48:44,879 Speaker 1: similar names, but went to different school districts. I didn't 861 00:48:44,920 --> 00:48:46,700 Speaker 1: know that at the time, so I called over a 862 00:48:46,739 --> 00:48:49,719 Speaker 1: dozen numbers asking for my friend, who I never found. 863 00:48:50,180 --> 00:48:52,360 Speaker 1: But one guy answered. And when I asked, can I 864 00:48:52,390 --> 00:48:56,310 Speaker 1: please speak to name redacted? He answered, well, he isn't here, 865 00:48:56,410 --> 00:48:59,549 Speaker 1: but this is that name. And I answered, well, this 866 00:48:59,610 --> 00:49:02,350 Speaker 1: is Amanda, which is actually a fake name, guys, because 867 00:49:02,390 --> 00:49:05,110 Speaker 1: the Boston song Amanda was out at the time. And 868 00:49:05,130 --> 00:49:06,370 Speaker 1: it was all I could think of on the spot. 869 00:49:07,130 --> 00:49:10,000 Speaker 1: The story's getting good. I think you see where it's headed. 870 00:49:10,080 --> 00:49:13,140 Speaker 1: We spoke for 30 minutes on the phone about the 871 00:49:13,180 --> 00:49:14,799 Speaker 1: Mets who had just won the World Series and hung up. 872 00:49:15,440 --> 00:49:17,670 Speaker 1: I then called back that guy once a week for 873 00:49:17,710 --> 00:49:21,850 Speaker 1: five months and we eventually decided to meet under a 874 00:49:21,930 --> 00:49:26,350 Speaker 1: streetlight on the corner. And dudes, we've been married for 875 00:49:26,350 --> 00:49:26,910 Speaker 1: 33 years. 876 00:49:27,570 --> 00:49:27,930 Speaker 2: Awesome. 877 00:49:28,910 --> 00:49:32,730 Speaker 1: Together for 39. And in December, our daughter is going 878 00:49:32,750 --> 00:49:36,330 Speaker 1: to get married. He is my person, my soulmate, my everything. 879 00:49:36,450 --> 00:49:38,189 Speaker 1: I'm a weirdo and he gets me and always has. 880 00:49:38,330 --> 00:49:39,509 Speaker 1: All because of a phone book. 881 00:49:40,239 --> 00:49:41,339 Speaker 2: That is so great, man. 882 00:49:42,100 --> 00:49:44,040 Speaker 1: To answer your question, yes, the other guy knows the 883 00:49:44,060 --> 00:49:45,700 Speaker 1: story and that he is the reason that I found 884 00:49:45,739 --> 00:49:47,469 Speaker 1: my husband. I don't think he could believe it. And 885 00:49:47,489 --> 00:49:50,089 Speaker 1: I sort of still can't really believe it myself after 886 00:49:50,130 --> 00:49:52,110 Speaker 1: all these years. Nowadays, it would be so unlikely to 887 00:49:52,150 --> 00:49:54,830 Speaker 1: even pick up a call from an unknown number. So 888 00:49:54,910 --> 00:49:59,469 Speaker 1: thank you again for consistently creating such polished elite entertainment. Polished? 889 00:49:59,910 --> 00:50:00,280 Speaker 2: I know. 890 00:50:00,510 --> 00:50:00,800 Speaker 1: Elite? 891 00:50:01,540 --> 00:50:01,759 Speaker 2: Wow. 892 00:50:01,880 --> 00:50:04,339 Speaker 1: Not two words we usually associate with ourselves. 893 00:50:04,840 --> 00:50:06,900 Speaker 2: No, I think she's talking about the daily. 894 00:50:07,020 --> 00:50:08,919 Speaker 1: I think so. But that is from Laura, and Laura 895 00:50:08,940 --> 00:50:13,430 Speaker 1: sent pics of her and her huds in 1987, 1993, 896 00:50:13,430 --> 00:50:15,989 Speaker 1: and one from this year. And it is adorable. He 897 00:50:16,030 --> 00:50:17,690 Speaker 1: had quite the mustache. 898 00:50:18,370 --> 00:50:20,850 Speaker 2: I saw that subject line. I haven't looked at the 899 00:50:20,930 --> 00:50:23,170 Speaker 2: email yet, so I have to run over and do that. 900 00:50:23,670 --> 00:50:24,969 Speaker 2: What a great story, man. 901 00:50:25,110 --> 00:50:25,790 Speaker 1: Yeah, I love it. 902 00:50:26,469 --> 00:50:27,130 Speaker 2: That was Laura? 903 00:50:27,310 --> 00:50:27,830 Speaker 1: That was Laura. 904 00:50:28,370 --> 00:50:31,570 Speaker 2: Thank you, Laura. That was... I don't know. That's a 905 00:50:31,620 --> 00:50:33,610 Speaker 2: contender for number one, maybe. 906 00:50:33,630 --> 00:50:37,330 Speaker 1: That's right. You and name-redacted husband. I'm so glad you're 907 00:50:37,350 --> 00:50:37,810 Speaker 1: still together. 908 00:50:38,430 --> 00:50:40,710 Speaker 2: Seriously, one of the best ever. So thank you for 909 00:50:40,750 --> 00:50:43,330 Speaker 2: sending that email, Laura. And if you want to take 910 00:50:43,370 --> 00:50:46,669 Speaker 2: your shot at the number one email spot, we love that. 911 00:50:47,110 --> 00:50:50,830 Speaker 2: You can send it off to stuffpodcasts at iheartradio.com. 912 00:50:54,150 --> 00:50:56,989 Speaker 1: Stuff You Should Know is a production of iHeartRadio. For 913 00:50:57,010 --> 00:51:01,120 Speaker 1: more podcasts from iHeartRadio, visit the iHeartRadio app. Apple Podcasts, 914 00:51:01,280 --> 00:51:03,060 Speaker 1: or wherever you listen to your favorite shows.