1 00:00:00,840 --> 00:00:03,520 Speaker 1: We spend one and a half times more per person 2 00:00:03,560 --> 00:00:07,000 Speaker 1: on healthcare than any other country, but we aren't any 3 00:00:07,000 --> 00:00:10,280 Speaker 1: healthier for it. This is one of the reasons that 4 00:00:10,320 --> 00:00:13,960 Speaker 1: insurance preimus have gone up three times faster than wages. 5 00:00:14,920 --> 00:00:18,960 Speaker 1: That's why so many employers, especially small businesses, are forcing 6 00:00:18,960 --> 00:00:23,239 Speaker 1: their employees to pay more for insurance warror dropping the coverage. 7 00:00:26,200 --> 00:00:28,560 Speaker 1: It used to seem so easy, a trip to the 8 00:00:28,600 --> 00:00:34,280 Speaker 1: doctor's office, a prescription, sometimes a hospital stay. Healthcare plain 9 00:00:34,600 --> 00:00:38,479 Speaker 1: and simple. But somewhere along the line, healthcare became an 10 00:00:38,520 --> 00:00:42,440 Speaker 1: incredibly complex and lucrative business. It's a world in which 11 00:00:42,440 --> 00:00:46,479 Speaker 1: patients can feel unheard and lost, but increasingly some are 12 00:00:46,520 --> 00:00:50,760 Speaker 1: making their voices known and fighting back. Welcome to Prognosis, 13 00:00:51,080 --> 00:00:54,720 Speaker 1: a podcast about health, medical technology, and the mind blowing 14 00:00:54,720 --> 00:00:58,160 Speaker 1: innovation under way across the globe. I'm your host, Michelle 15 00:00:58,160 --> 00:01:08,000 Speaker 1: fe Cortes. Today, there are two major power centers in 16 00:01:08,000 --> 00:01:11,440 Speaker 1: the drug world, those who make medicines and those who 17 00:01:11,480 --> 00:01:15,160 Speaker 1: pay for most of them. That's big pharma and insurers. 18 00:01:15,959 --> 00:01:18,920 Speaker 1: These two camps often battle over how healthcare dollars in 19 00:01:18,959 --> 00:01:22,120 Speaker 1: the US are spent. But where does that leave patients? 20 00:01:22,720 --> 00:01:27,320 Speaker 1: People like you and me. We'll hear from patients who 21 00:01:27,360 --> 00:01:29,800 Speaker 1: have taken matters into their own hands by helping pay 22 00:01:29,800 --> 00:01:35,080 Speaker 1: for the development of treatments for their own disease. Patients 23 00:01:35,080 --> 00:01:37,760 Speaker 1: are fighting for their lives, but while they're at it, 24 00:01:38,000 --> 00:01:43,039 Speaker 1: they're often helping the financial interests of drug companies. Companies 25 00:01:43,080 --> 00:01:45,240 Speaker 1: have figured this out and are working to cultivate a 26 00:01:45,280 --> 00:01:55,200 Speaker 1: new kind of booster, the patients themselves. Here's Bloomberg's biotech 27 00:01:55,280 --> 00:02:07,760 Speaker 1: reporter Rebecca Spalding with the story. Here's how the drug 28 00:02:07,760 --> 00:02:11,680 Speaker 1: industry works in a nutshell. Farmer makes money when sures 29 00:02:11,720 --> 00:02:16,480 Speaker 1: cover their drugs, Ensures save money when they don't. That 30 00:02:16,600 --> 00:02:18,560 Speaker 1: was the first thing I learned when I started covering 31 00:02:18,560 --> 00:02:21,799 Speaker 1: the healthcare industry. The second thing I learned is a 32 00:02:21,840 --> 00:02:26,360 Speaker 1: little more difficult to understand. It's not always obvious who's 33 00:02:26,480 --> 00:02:30,480 Speaker 1: on which side. I don't mean pharma and the insurers, 34 00:02:30,520 --> 00:02:37,320 Speaker 1: that's easy. I mean all the people in between, hospitals, doctors, politicians, middlemen. 35 00:02:38,280 --> 00:02:40,600 Speaker 1: The more you learn about the healthcare industry, the more 36 00:02:40,600 --> 00:02:43,480 Speaker 1: you learn that there's a web of murky financial incentives 37 00:02:43,480 --> 00:02:45,760 Speaker 1: that can tie actors to one side or the other. 38 00:02:46,600 --> 00:02:50,639 Speaker 1: But one thing isn't murky. Patients often end up near 39 00:02:50,639 --> 00:02:55,000 Speaker 1: the bottom of this power structure. That becomes clear when 40 00:02:55,000 --> 00:02:59,360 Speaker 1: someone gets seriously sick or needs an operation. What seems simple, 41 00:02:59,800 --> 00:03:04,320 Speaker 1: I doctor's visit, a prescription, a hospital stay can feel 42 00:03:04,320 --> 00:03:07,840 Speaker 1: like falling into a bottomless pit. Some patients find out 43 00:03:07,880 --> 00:03:11,200 Speaker 1: their drugs will cost them thousands of dollars. For others, 44 00:03:11,200 --> 00:03:15,680 Speaker 1: there's no drug for their condition at all. That's where 45 00:03:15,720 --> 00:03:18,600 Speaker 1: people like Bob Coughlin come in. Bob is a lot 46 00:03:18,600 --> 00:03:21,320 Speaker 1: of things. His history a politician. Now he works for 47 00:03:21,320 --> 00:03:23,680 Speaker 1: the drug industry in the Massachusetts one of the biggest 48 00:03:23,720 --> 00:03:26,800 Speaker 1: industry clusters in the world. It's very clear who he 49 00:03:26,960 --> 00:03:29,680 Speaker 1: is and what he's about. He has an agenda and 50 00:03:29,680 --> 00:03:32,079 Speaker 1: he can't wait to tell you what it is. He's 51 00:03:32,080 --> 00:03:35,720 Speaker 1: the CEO of the state's biotechnology trade group. But he's 52 00:03:35,760 --> 00:03:39,120 Speaker 1: also a dad and a patient advocate. I'm a completely 53 00:03:39,160 --> 00:03:43,120 Speaker 1: recovering politician. I served in elective office, and when I 54 00:03:43,160 --> 00:03:48,600 Speaker 1: was in the legislature in Massachusetts, I got a first 55 00:03:49,360 --> 00:03:52,040 Speaker 1: you know, firsthand. I was a front row seat as 56 00:03:52,080 --> 00:03:56,160 Speaker 1: to weird policy intersected with science. And the reason that 57 00:03:56,280 --> 00:03:59,120 Speaker 1: was so important to me is because it's personal. Um, 58 00:03:59,160 --> 00:04:01,000 Speaker 1: you know, when I was running for the legislature, my 59 00:04:01,040 --> 00:04:03,640 Speaker 1: wife and I were having our third child, and we 60 00:04:03,720 --> 00:04:06,840 Speaker 1: found out in utero when my wife was twenty one 61 00:04:06,880 --> 00:04:10,080 Speaker 1: weeks pregnant, that that little baby in her belly was 62 00:04:10,080 --> 00:04:14,400 Speaker 1: going to have cystic fibrosis. And it really shocked our world. 63 00:04:14,600 --> 00:04:17,360 Speaker 1: It shocked us. It was horrible. It was the worst thing, 64 00:04:17,680 --> 00:04:20,160 Speaker 1: you know, we've ever been through in our lives. And 65 00:04:20,720 --> 00:04:23,960 Speaker 1: you know, I found myself as someone who wasn't a doctor. 66 00:04:24,000 --> 00:04:26,760 Speaker 1: I wasn't a scientist, you know what was I was 67 00:04:26,800 --> 00:04:29,520 Speaker 1: a member of the legislature in Massachusetts and the most 68 00:04:29,560 --> 00:04:33,120 Speaker 1: important thing to me was trying to find a cure 69 00:04:33,200 --> 00:04:35,400 Speaker 1: for my kid. And I didn't want to go. I 70 00:04:35,440 --> 00:04:37,200 Speaker 1: used to have nightmares about going to his funeral and 71 00:04:37,240 --> 00:04:40,200 Speaker 1: I wanted that to stop. And um as a type 72 00:04:40,200 --> 00:04:43,920 Speaker 1: of personality, I decided to get involved. And how could 73 00:04:43,920 --> 00:04:49,240 Speaker 1: I get involved? I could really work with the biotech industry, 74 00:04:49,640 --> 00:04:51,880 Speaker 1: the leaders of industry, to say what can government do 75 00:04:51,960 --> 00:04:53,640 Speaker 1: to do better? And this is this is where this 76 00:04:53,720 --> 00:04:58,159 Speaker 1: all came about. Cystic Fibrosis is a deadly childhood lung disease. 77 00:04:58,720 --> 00:05:01,599 Speaker 1: Back in two thousand two, Bob's son was diagnosed. It 78 00:05:01,680 --> 00:05:05,000 Speaker 1: was a death sentence, a genetic defect leads to a 79 00:05:05,080 --> 00:05:08,119 Speaker 1: build up a thick mucus in the lungs. It's harder 80 00:05:08,120 --> 00:05:11,960 Speaker 1: and harder to breathe. Infections are common as patients age. 81 00:05:12,360 --> 00:05:16,560 Speaker 1: Some patients die in their teens, others live longer. At 82 00:05:16,560 --> 00:05:18,960 Speaker 1: the time Bob's son was diagnosed, the median age of 83 00:05:19,000 --> 00:05:22,159 Speaker 1: survival was about thirty two. You know, I remember when 84 00:05:23,279 --> 00:05:25,200 Speaker 1: when I found out when we when Christine and I 85 00:05:25,279 --> 00:05:27,120 Speaker 1: found out that we were going to have a kid 86 00:05:27,240 --> 00:05:32,360 Speaker 1: with CF, a baby with CF. My first thought was, Okay, 87 00:05:32,400 --> 00:05:35,680 Speaker 1: we got to find the doctors that are going to 88 00:05:35,800 --> 00:05:38,480 Speaker 1: fix this, that are gonna come up with a cure. 89 00:05:39,680 --> 00:05:42,520 Speaker 1: And I talked to some other folks from the CF 90 00:05:42,560 --> 00:05:47,039 Speaker 1: community and they said, no, no, no. Most drugs don't 91 00:05:47,080 --> 00:05:50,760 Speaker 1: come out of government labs or university towers. To actually 92 00:05:50,760 --> 00:05:53,480 Speaker 1: make a drug, kind of drug that Bob's son needs, 93 00:05:53,880 --> 00:05:58,239 Speaker 1: you need a pharmaceutical company, and developing most drugs takes time, 94 00:05:58,680 --> 00:06:02,520 Speaker 1: usually a decade, and on average costs about two and 95 00:06:02,560 --> 00:06:07,200 Speaker 1: a half billion dollars. What's more, drug companies get to 96 00:06:07,279 --> 00:06:10,560 Speaker 1: choose which diseases they research and which diseases they don't. 97 00:06:11,480 --> 00:06:13,840 Speaker 1: And the sad reality is that some diseases are more 98 00:06:13,880 --> 00:06:19,640 Speaker 1: profitable than others. Like so much else in our consumer culture, 99 00:06:19,880 --> 00:06:24,120 Speaker 1: diseases have brands, they have cachet cancer is hot. Everyone 100 00:06:24,160 --> 00:06:27,240 Speaker 1: wants to cure for Alzheimer's. There's a liver disease that's 101 00:06:27,279 --> 00:06:30,840 Speaker 1: particularly buzzy right now since it's tied to obesity, meaning 102 00:06:30,880 --> 00:06:35,240 Speaker 1: there's plenty of patients. There's tons of pharmaceutical company backers 103 00:06:35,279 --> 00:06:38,320 Speaker 1: and optimistic Wall Street analysts cheering them along the way. 104 00:06:39,800 --> 00:06:42,919 Speaker 1: At the time Bob's son was diagnosed, cystic fibrosis was 105 00:06:42,960 --> 00:06:46,320 Speaker 1: not on the radar of the pharmaceutical industry, but it 106 00:06:46,360 --> 00:06:49,279 Speaker 1: did have one powerful force that would set it apart 107 00:06:49,320 --> 00:06:52,600 Speaker 1: from other diseases and would eventually make the industry pay 108 00:06:52,640 --> 00:06:58,200 Speaker 1: attention patients and the parents of patients. People like Bob. 109 00:07:00,520 --> 00:07:02,920 Speaker 1: A gentleman who's still a mentor to me and one 110 00:07:02,960 --> 00:07:05,200 Speaker 1: of my heroes, told me, we're got to go out 111 00:07:05,240 --> 00:07:07,880 Speaker 1: and raise money and buy a cure for your kid. 112 00:07:07,960 --> 00:07:11,000 Speaker 1: His son had passed away from cystic fibrosis, and he's 113 00:07:11,040 --> 00:07:13,600 Speaker 1: dedicated to his son's legacy that he was going to 114 00:07:13,640 --> 00:07:16,080 Speaker 1: continue to raise money until there was a cure so 115 00:07:16,160 --> 00:07:18,960 Speaker 1: my son won't die. And when he said it was 116 00:07:19,040 --> 00:07:21,640 Speaker 1: quite sobering. He said, you have to. We have to 117 00:07:21,760 --> 00:07:24,800 Speaker 1: buy a cure. And I remember that like it was 118 00:07:25,080 --> 00:07:28,400 Speaker 1: this morning, because who in their right mind would think 119 00:07:28,400 --> 00:07:31,520 Speaker 1: that we have to buy cures? Back then, I thought 120 00:07:31,600 --> 00:07:33,920 Speaker 1: doctors just did it. Scientists just did it. It was 121 00:07:33,960 --> 00:07:37,480 Speaker 1: the right thing to do. I didn't understand the whole 122 00:07:37,520 --> 00:07:41,040 Speaker 1: business around it and how difficult it is to actually 123 00:07:41,080 --> 00:07:46,240 Speaker 1: develop a therapy, never mind a cure. Bob is a lobbyist, 124 00:07:46,360 --> 00:07:49,280 Speaker 1: but he's also it's known as a patient advocate. It's 125 00:07:49,280 --> 00:07:52,960 Speaker 1: an idea that's been around for decades, patients fighting for themselves. 126 00:07:53,640 --> 00:07:56,920 Speaker 1: But a more recent year, something else has happened. Remember 127 00:07:56,960 --> 00:08:00,520 Speaker 1: that web of healthcare and sentence I mentioned, patients are 128 00:08:00,560 --> 00:08:05,040 Speaker 1: in there too. The Cystic Fibrosis Foundation was founded in 129 00:08:05,160 --> 00:08:09,800 Speaker 1: nine by parents who watched their children die. They vowed 130 00:08:09,840 --> 00:08:13,720 Speaker 1: to find a cure. Around that time, the average age 131 00:08:13,720 --> 00:08:17,720 Speaker 1: of survival was about ten years old. They raised money 132 00:08:17,720 --> 00:08:21,760 Speaker 1: and began funding basic academic research, but they still didn't 133 00:08:21,800 --> 00:08:31,520 Speaker 1: have drugs at the time. Pharma wasn't interested to see 134 00:08:31,560 --> 00:08:34,200 Speaker 1: a foundation decided they would have to get them interested. 135 00:08:35,400 --> 00:08:38,120 Speaker 1: In two thousand, two years before Bob Soun was born, 136 00:08:38,240 --> 00:08:42,920 Speaker 1: the foundation made a controversial bet. Rather than fund academic research, 137 00:08:43,080 --> 00:08:46,079 Speaker 1: It decided to invest forty million dollars in a small 138 00:08:46,120 --> 00:08:50,880 Speaker 1: biotechnology company to find a cure for cystic fibrosis. That 139 00:08:50,960 --> 00:08:54,720 Speaker 1: investment eventually turned into the first ever drugs approved that 140 00:08:54,800 --> 00:08:59,040 Speaker 1: treat the underlying cause of the disease. Today, Vertex, the 141 00:08:59,040 --> 00:09:01,520 Speaker 1: maker of those drugs, is a darling of Wall Street. 142 00:09:02,679 --> 00:09:06,280 Speaker 1: Vertex Pharmaceuticals will be presenting new data on its cystic 143 00:09:06,320 --> 00:09:09,760 Speaker 1: fibrosis drugs next week. VerTech stock also rising today, and 144 00:09:09,760 --> 00:09:11,880 Speaker 1: the company has high hopes for the drug and development. 145 00:09:12,720 --> 00:09:15,600 Speaker 1: But it's not just that Vertex sells a successful drug, 146 00:09:16,400 --> 00:09:19,640 Speaker 1: it also charges a lot for them, about three hundred 147 00:09:19,679 --> 00:09:23,120 Speaker 1: thousand dollars a year. Drug prices have become a huge 148 00:09:23,120 --> 00:09:26,880 Speaker 1: issue in the United States for many patients and politicians. 149 00:09:26,920 --> 00:09:29,880 Speaker 1: That means railing against the drug companies that invented the products. 150 00:09:31,080 --> 00:09:35,520 Speaker 1: But not Bob. He's unapologetic about companies charging that much 151 00:09:35,520 --> 00:09:38,560 Speaker 1: for their treatments, especially when it's the insurance companies that 152 00:09:38,600 --> 00:09:42,120 Speaker 1: are picking up the tab. People talk about, oh, well, 153 00:09:42,160 --> 00:09:44,839 Speaker 1: how can these companies make money off things that were 154 00:09:44,920 --> 00:09:49,600 Speaker 1: invented in with within i H funding and hospitals and universities. Well, 155 00:09:50,160 --> 00:09:52,520 Speaker 1: they'll sit on a shelf for decades and never turn 156 00:09:52,559 --> 00:09:55,480 Speaker 1: into anything that could ever help a patient. If vcs 157 00:09:55,480 --> 00:09:58,880 Speaker 1: don't get involved, investors get involved, business people get involved 158 00:09:58,880 --> 00:10:01,439 Speaker 1: and actually take that. You know, to use a football 159 00:10:01,480 --> 00:10:07,160 Speaker 1: and analogy. The NIH funding and the science can get 160 00:10:07,200 --> 00:10:09,080 Speaker 1: you on the field, but you're still gonna go ninety 161 00:10:09,160 --> 00:10:11,800 Speaker 1: nine yards to get a touchdown to invent a drug. Well, 162 00:10:11,880 --> 00:10:15,240 Speaker 1: that's what businesses do, and it cost money, and it's 163 00:10:15,360 --> 00:10:17,599 Speaker 1: high risk, and there needs to be a reward to 164 00:10:17,720 --> 00:10:20,040 Speaker 1: incentivize people to do that. And that's why a lot 165 00:10:20,120 --> 00:10:23,400 Speaker 1: of people, especially in rear genetic disorders, parents will call 166 00:10:23,480 --> 00:10:26,200 Speaker 1: me and they're like, what can we do? Raise money 167 00:10:26,240 --> 00:10:28,280 Speaker 1: in investing companies and buy a que for your kid? 168 00:10:28,440 --> 00:10:30,720 Speaker 1: And again, it looks like there are deer in headlights 169 00:10:30,760 --> 00:10:34,559 Speaker 1: when I say that, because nobody thinks that that's what 170 00:10:34,679 --> 00:10:38,320 Speaker 1: you're supposed to do until it happens to them. At 171 00:10:38,400 --> 00:10:41,040 Speaker 1: this point in our conversation, I'm wondering how that would 172 00:10:41,080 --> 00:10:45,080 Speaker 1: even work buy a cure for your kid? How would 173 00:10:45,120 --> 00:10:48,599 Speaker 1: someone actually go about buying a cure? And so is 174 00:10:48,640 --> 00:10:51,720 Speaker 1: that really what when you're a patient or organized patient group? 175 00:10:52,400 --> 00:10:54,560 Speaker 1: Is that why patients organized? Or can you walk us 176 00:10:54,640 --> 00:10:56,920 Speaker 1: through kind of more of that landscape, not just within 177 00:10:57,000 --> 00:11:01,320 Speaker 1: the CF world, but other disease others you mentioned, Yeah, 178 00:11:01,360 --> 00:11:03,920 Speaker 1: good Disease foundations focus on a few things. First and 179 00:11:04,040 --> 00:11:07,679 Speaker 1: foremost awareness, Right, You're not going to raise money to 180 00:11:07,800 --> 00:11:11,240 Speaker 1: invest if people aren't aware. Look what folks from the 181 00:11:11,480 --> 00:11:14,640 Speaker 1: you know, breast cancer have done around awareness. It's beautiful. 182 00:11:15,000 --> 00:11:17,680 Speaker 1: I mean, you raise awareness, then you can raise funds, 183 00:11:17,720 --> 00:11:21,160 Speaker 1: and then also patient support and policy and advocacy. Disease 184 00:11:21,200 --> 00:11:25,040 Speaker 1: foundations need to support their community, give them access to information, 185 00:11:25,360 --> 00:11:27,920 Speaker 1: give them access to support groups, give them access to 186 00:11:28,360 --> 00:11:32,839 Speaker 1: you know, use them in a positive way. With politicians. Politicians, Hey, 187 00:11:32,880 --> 00:11:35,120 Speaker 1: I was one, right, I listened to the people that 188 00:11:35,200 --> 00:11:37,280 Speaker 1: live in my district, my constituents. I didn't want to 189 00:11:37,280 --> 00:11:40,400 Speaker 1: meet with the CEOs from companies to hear what they wanted. 190 00:11:40,600 --> 00:11:42,839 Speaker 1: I wanted to meet with the people that that lived 191 00:11:42,880 --> 00:11:44,760 Speaker 1: in my district that could vote me in office or 192 00:11:44,840 --> 00:11:47,120 Speaker 1: vote me out of office. And I'm curious how that 193 00:11:47,160 --> 00:11:49,959 Speaker 1: works because you mentioned, you know yourself, that if a 194 00:11:50,040 --> 00:11:52,559 Speaker 1: patient came into your office when you're a legislator, I 195 00:11:52,600 --> 00:11:53,959 Speaker 1: mean that's you want to talk to. You don't want 196 00:11:53,960 --> 00:11:55,840 Speaker 1: to talk to the CEO of my own tech company. 197 00:11:56,000 --> 00:11:58,480 Speaker 1: But by virtue. It sort of seems like patients might 198 00:11:58,520 --> 00:12:01,199 Speaker 1: be doing the marketing of some of these companies UM, 199 00:12:01,480 --> 00:12:04,959 Speaker 1: and you know, they're the ones spreading awareness about the disease, 200 00:12:05,040 --> 00:12:08,920 Speaker 1: doing basically free marketing, raising money even in the cases 201 00:12:08,960 --> 00:12:11,880 Speaker 1: of CF and other diseases for these companies. The companies 202 00:12:11,920 --> 00:12:15,000 Speaker 1: turn around and to your point, you know, these these 203 00:12:15,200 --> 00:12:18,480 Speaker 1: treatments can cost hundreds of thousands of dollars, So do 204 00:12:18,600 --> 00:12:23,480 Speaker 1: patients help companies charge those those rates? Or I could 205 00:12:23,480 --> 00:12:25,000 Speaker 1: see how a cynic would look at it that way. 206 00:12:25,000 --> 00:12:27,360 Speaker 1: And again is speaking as a CF dad. I've sat 207 00:12:27,480 --> 00:12:31,599 Speaker 1: with many CF patients and and CF families, most i 208 00:12:31,640 --> 00:12:34,199 Speaker 1: should say, more CF moms and dads than patients. To 209 00:12:34,280 --> 00:12:39,520 Speaker 1: explain that when a drug like UM, like Kaleitako, which 210 00:12:39,559 --> 00:12:42,959 Speaker 1: was the first drug, was priced at you know, keep 211 00:12:42,960 --> 00:12:44,920 Speaker 1: in mind this is before discount of rebates. That's a 212 00:12:44,920 --> 00:12:46,760 Speaker 1: whole different animal that we can get into as it 213 00:12:46,840 --> 00:12:49,360 Speaker 1: relates to the future of healthcare. But let's say the 214 00:12:49,440 --> 00:12:52,840 Speaker 1: list price was you know, three d thousand dollars. That's 215 00:12:52,880 --> 00:12:55,400 Speaker 1: not in a sense to pay for Kalitako, that's to 216 00:12:55,480 --> 00:12:58,920 Speaker 1: pay for the next drug. In other words, Vertex has 217 00:12:58,960 --> 00:13:03,360 Speaker 1: invested over nine billion dollars to get to a point 218 00:13:03,440 --> 00:13:08,640 Speaker 1: where they've got a drug for fift oft People think 219 00:13:08,679 --> 00:13:11,079 Speaker 1: of the revenue model here. This is going to be expensive, 220 00:13:11,080 --> 00:13:13,439 Speaker 1: and again it will save money to the health care 221 00:13:13,520 --> 00:13:17,360 Speaker 1: system over time and costs avoided later. But we don't 222 00:13:17,400 --> 00:13:25,160 Speaker 1: have a payer system that tracks costs avoided. For all 223 00:13:25,200 --> 00:13:28,000 Speaker 1: the money Bob is raised for disease research and the 224 00:13:28,120 --> 00:13:31,559 Speaker 1: industry at large, his son still doesn't have a cure. 225 00:13:32,600 --> 00:13:35,640 Speaker 1: Vertex has drugs only work in about half of all patients. 226 00:13:36,120 --> 00:13:39,839 Speaker 1: The company is researching promising drug combinations it hopes will 227 00:13:39,880 --> 00:13:43,400 Speaker 1: help reach more. Bob hopes they'll work for his son. 228 00:13:44,280 --> 00:13:46,559 Speaker 1: That might be why he's not as concerned about what 229 00:13:46,720 --> 00:13:50,760 Speaker 1: the current treatments cost. Vertex can charge as much as 230 00:13:50,800 --> 00:13:55,120 Speaker 1: it wants as long as it keeps going. They don't 231 00:13:55,160 --> 00:13:57,600 Speaker 1: have one that works for my son's mutation yet. Hope 232 00:13:57,640 --> 00:13:59,520 Speaker 1: to God, I think the next one will work. All 233 00:13:59,600 --> 00:14:02,080 Speaker 1: night work, the triple will work for him. I'm so confident. 234 00:14:02,160 --> 00:14:05,079 Speaker 1: I've never been this optimistic. They're confident. In the sixteen 235 00:14:05,160 --> 00:14:07,960 Speaker 1: years that he's been alive, but the clock is ticking. 236 00:14:08,000 --> 00:14:10,439 Speaker 1: He's not getting any healthier, so he gets sicker and 237 00:14:10,480 --> 00:14:12,559 Speaker 1: sicker every day, so we need this to happen. But 238 00:14:12,920 --> 00:14:19,119 Speaker 1: let's go back to the therapies that existed, the chronic therapies, 239 00:14:19,520 --> 00:14:25,640 Speaker 1: the antibiotics, the anti mucalytics, the CHESSPT, the constant clean 240 00:14:25,720 --> 00:14:28,680 Speaker 1: outs in the hospital, the dozens, if not hundreds of 241 00:14:28,760 --> 00:14:31,720 Speaker 1: pancreatic enzymes that these kids need to take every day 242 00:14:32,040 --> 00:14:36,840 Speaker 1: just to eat food. These are expensive patients as and 243 00:14:36,920 --> 00:14:39,640 Speaker 1: they still get sicker and sicker every day and ultimately die. 244 00:14:40,000 --> 00:14:42,480 Speaker 1: You know, they ultimately need a transplant of sort, whether 245 00:14:42,520 --> 00:14:45,040 Speaker 1: it's a liver transplant like in my son's case. In 246 00:14:45,160 --> 00:14:47,360 Speaker 1: most cases it gets to the point where they need 247 00:14:47,840 --> 00:14:51,480 Speaker 1: a lung transplant, and then they die. And it's it's horrible. 248 00:14:51,720 --> 00:14:56,520 Speaker 1: It's a horrible, horrible thing, and it's a very very 249 00:14:56,960 --> 00:15:00,040 Speaker 1: expensive thing. It's it's difficult to talk about dollars and 250 00:15:00,120 --> 00:15:03,280 Speaker 1: sense when you're thinking about a loved one's life. Remember 251 00:15:03,400 --> 00:15:05,880 Speaker 1: some of those hidden incentives I mentioned at the beginning 252 00:15:05,920 --> 00:15:10,120 Speaker 1: of the episode, this is one of them. No matter 253 00:15:10,200 --> 00:15:13,960 Speaker 1: how much patients may criticize high drug prices, the reality 254 00:15:14,120 --> 00:15:19,600 Speaker 1: is that insurance companies don't develop drugs. Pharma does. If 255 00:15:19,640 --> 00:15:22,720 Speaker 1: you're dying, it's a drug made by a drug company 256 00:15:22,920 --> 00:15:27,640 Speaker 1: that might save your life. Pharma knows this, and they 257 00:15:27,720 --> 00:15:30,320 Speaker 1: know that patients are a lot more sympathetic a voice 258 00:15:30,400 --> 00:15:34,120 Speaker 1: than a CEO. That's why they give patient groups so 259 00:15:34,240 --> 00:15:37,840 Speaker 1: much funding. Kaiser Health News found that the pharmaceutical industry 260 00:15:37,880 --> 00:15:40,480 Speaker 1: gave patient groups a hundred and sixteen million dollars in 261 00:15:40,560 --> 00:15:44,320 Speaker 1: two thousand fifteen. The links are so interconnected that pharma 262 00:15:44,400 --> 00:15:48,800 Speaker 1: companies now have whole divisions dedicated to patient advocacy. Just 263 00:15:49,160 --> 00:15:53,040 Speaker 1: like press offices handle a company's relationships with reporters, patient 264 00:15:53,080 --> 00:15:58,080 Speaker 1: advocacy divisions work with patients, the awareness that patients raise, 265 00:15:58,200 --> 00:16:00,280 Speaker 1: the meanings they arrange with politicians. It is like the 266 00:16:00,320 --> 00:16:05,480 Speaker 1: one Bob mentioned that helps patients, but it also helps pharma. 267 00:16:07,480 --> 00:16:09,920 Speaker 1: Ever go on a walk or run that benefits disease 268 00:16:10,000 --> 00:16:13,600 Speaker 1: research next time, look at who the sponsors are. You 269 00:16:13,680 --> 00:16:17,120 Speaker 1: may be surprised to see if pharmaceutical company listed the 270 00:16:17,560 --> 00:16:22,120 Speaker 1: generous sponsors who make this possible. Here today, this this 271 00:16:22,240 --> 00:16:24,520 Speaker 1: event has grown so much over the last five years 272 00:16:24,560 --> 00:16:25,920 Speaker 1: that we have to have it in a hotel now. 273 00:16:26,000 --> 00:16:27,760 Speaker 1: We couldn't fit in another space, and we couldn't do 274 00:16:27,800 --> 00:16:30,440 Speaker 1: it without our sponsors. For you folks that are trying 275 00:16:30,480 --> 00:16:35,280 Speaker 1: to log onto the Internet. The password is actually Surrepta 276 00:16:35,840 --> 00:16:41,400 Speaker 1: is hiring capital s. There is no periods in there. 277 00:16:41,440 --> 00:16:44,440 Speaker 1: And how ironic is it that the password name is 278 00:16:44,480 --> 00:16:47,000 Speaker 1: actually that Surreptor is hiring. Like, take it. That's a 279 00:16:47,000 --> 00:16:50,680 Speaker 1: sponsoring opportunity right there. It's pretty clever. Ladies and gentlemen, please, 280 00:16:51,640 --> 00:16:53,720 Speaker 1: that's Bob. A few weeks after I spoke to him, 281 00:16:53,800 --> 00:16:56,600 Speaker 1: presiding over an industry conference about how to best work 282 00:16:56,640 --> 00:16:59,840 Speaker 1: with patients. The summit was held at a hotel and 283 00:17:00,040 --> 00:17:03,360 Speaker 1: Cambridge and sponsored by some of the largest biotechnology companies 284 00:17:03,400 --> 00:17:08,280 Speaker 1: in town. Drug executives mingled with disease advocates over pastries 285 00:17:08,480 --> 00:17:12,480 Speaker 1: and artisanal coffee. If I hadn't already known about the ties, 286 00:17:12,680 --> 00:17:20,119 Speaker 1: the scene might have struck me as bizarre. One of 287 00:17:20,200 --> 00:17:22,440 Speaker 1: the patient advocates who spoke at the meeting you just 288 00:17:22,560 --> 00:17:26,480 Speaker 1: heard was a woman named Laura Greco. Laura used to 289 00:17:26,520 --> 00:17:29,480 Speaker 1: be a lawyer. She's in her forties and has two 290 00:17:29,560 --> 00:17:32,320 Speaker 1: children at home. A few years ago, she learned she 291 00:17:32,359 --> 00:17:36,200 Speaker 1: had lung cancer. Laura never smoked, but she resents the 292 00:17:36,280 --> 00:17:38,800 Speaker 1: fact that that's usually the first question she's asked when 293 00:17:38,840 --> 00:17:42,600 Speaker 1: she tells people her diagnosis. Even if she did smoke. 294 00:17:42,760 --> 00:17:47,080 Speaker 1: Does that mean she deserves to die? Nobody wants cancer, 295 00:17:48,000 --> 00:17:50,360 Speaker 1: But if all the cancers out there long as high 296 00:17:50,400 --> 00:17:53,399 Speaker 1: on the list of bad ones, many cases, it's a 297 00:17:53,480 --> 00:17:56,880 Speaker 1: death sentence. Laura wants to change that by doing many 298 00:17:56,920 --> 00:17:59,560 Speaker 1: of the things that the cystic fibrosis community once did, 299 00:18:00,359 --> 00:18:03,159 Speaker 1: raise awareness about the disease and fund basic research to 300 00:18:03,240 --> 00:18:06,680 Speaker 1: help make pharma pay more attention. In a way, I 301 00:18:06,800 --> 00:18:11,480 Speaker 1: thank god for the pharmaceutical companies because UM, lung cancer 302 00:18:11,680 --> 00:18:15,960 Speaker 1: has historically been ignored by our federal government. Lung cancer 303 00:18:16,080 --> 00:18:20,240 Speaker 1: is responsible for of all cancer deess and yet receives 304 00:18:20,240 --> 00:18:25,760 Speaker 1: only six percent of federal funding. So re word for pharma. UM. 305 00:18:25,920 --> 00:18:28,919 Speaker 1: Seeing the huge potential of what is a lung cancer, 306 00:18:29,880 --> 00:18:31,720 Speaker 1: I don't think I'd be alive today, you know. I'm 307 00:18:31,800 --> 00:18:33,800 Speaker 1: very thankful to them on the one hand. On the 308 00:18:33,840 --> 00:18:40,040 Speaker 1: other hand, they're obviously problems, right. I mean, the drug 309 00:18:40,119 --> 00:18:43,080 Speaker 1: I'm on is about fifteen a long, which is a 310 00:18:43,160 --> 00:18:45,840 Speaker 1: lot of money, And of course my insurance does cover it, 311 00:18:46,080 --> 00:18:48,680 Speaker 1: and there's a co paid cards, so I pay five 312 00:18:48,720 --> 00:18:51,959 Speaker 1: dollars a month, No big deal, right, But UM, if 313 00:18:52,000 --> 00:18:54,720 Speaker 1: I were in Medicare or Medicaid, I would pay a 314 00:18:54,760 --> 00:18:57,920 Speaker 1: lot more than that. That doesn't strike me as very fair, 315 00:18:58,080 --> 00:19:02,240 Speaker 1: and it doesn't strike me as a viable economic model 316 00:19:02,440 --> 00:19:07,480 Speaker 1: to charge someone you know, over a hundred thousand dollars 317 00:19:07,600 --> 00:19:10,639 Speaker 1: a year for a drug to keep them alive. But 318 00:19:10,800 --> 00:19:13,800 Speaker 1: she has some words for drug executives, and she wasn't 319 00:19:13,840 --> 00:19:16,000 Speaker 1: afraid to share them when she was on the panel 320 00:19:16,119 --> 00:19:20,040 Speaker 1: at the Patient's Summit in Cambridge, like about how expensive 321 00:19:20,119 --> 00:19:22,320 Speaker 1: it is for patients like her to participate in the 322 00:19:22,400 --> 00:19:27,040 Speaker 1: clinical studies pharma so desperately needs. You know, Boston is 323 00:19:27,080 --> 00:19:29,800 Speaker 1: not cheap. I think you got to know that every 324 00:19:29,880 --> 00:19:33,760 Speaker 1: time we come here in seven hundreds, not thousands of dollars, 325 00:19:34,280 --> 00:19:37,879 Speaker 1: and none of that is compensated by the trials and 326 00:19:38,320 --> 00:19:40,960 Speaker 1: in matas I've been told there's a law about this. 327 00:19:41,400 --> 00:19:47,560 Speaker 1: Let's change that um clinical trial participate travel costs and 328 00:19:47,720 --> 00:19:51,560 Speaker 1: at earlier in SPAT should begin to page on clinical trials. 329 00:19:52,640 --> 00:19:56,920 Speaker 1: It's you know, heart time valuable and certainly we should 330 00:19:57,000 --> 00:20:02,640 Speaker 1: reimburse just for our costs and getting there. As she speaks, 331 00:20:02,880 --> 00:20:06,080 Speaker 1: advising on everything from how to share clinical trial results 332 00:20:06,160 --> 00:20:10,320 Speaker 1: to not patronizing patients by handing out magnets, I noticed 333 00:20:10,359 --> 00:20:13,200 Speaker 1: executives around the room taking out their notebooks and writing 334 00:20:13,240 --> 00:20:17,080 Speaker 1: down her advice. After the panel, I spoke to Laura 335 00:20:17,119 --> 00:20:20,399 Speaker 1: outside the hotel asked her what her thoughts were on 336 00:20:20,440 --> 00:20:24,320 Speaker 1: the pharmaceutical industry. In part, she's grateful to them because 337 00:20:24,400 --> 00:20:27,480 Speaker 1: they developed the drugs she's on, but another part of 338 00:20:27,520 --> 00:20:30,320 Speaker 1: her thinks they don't really get it. Offering her a 339 00:20:30,400 --> 00:20:32,919 Speaker 1: magnet when she's a stage for a lung cancer patient 340 00:20:33,240 --> 00:20:36,200 Speaker 1: is not the kind of engagement she's looking for. She 341 00:20:36,320 --> 00:20:40,320 Speaker 1: wants better drugs, more funding, more research. My end goal 342 00:20:40,440 --> 00:20:44,120 Speaker 1: is to live. My end goal is to survive. That's 343 00:20:44,200 --> 00:20:49,439 Speaker 1: really the ultimate goal. UM. But you know, barring living, UM, 344 00:20:50,480 --> 00:20:56,040 Speaker 1: I still think I'll be successful if I am able 345 00:20:56,080 --> 00:20:58,520 Speaker 1: to look at my kids and say, look, I tried 346 00:20:58,640 --> 00:21:02,560 Speaker 1: everything I could to be alive, and I hopefully move 347 00:21:02,720 --> 00:21:08,800 Speaker 1: that needle so that parents who get a lung cancer 348 00:21:08,920 --> 00:21:15,400 Speaker 1: diagnosis UM sometime in the future aren't quite as devastated 349 00:21:16,119 --> 00:21:18,320 Speaker 1: as I was when I was diagnosed. I mean, it's 350 00:21:18,359 --> 00:21:20,600 Speaker 1: still probably going to be the worst day of their life, 351 00:21:21,240 --> 00:21:27,680 Speaker 1: but maybe one day, UM, and one day soon, someone 352 00:21:27,760 --> 00:21:30,159 Speaker 1: can be diagnosed with lung cancer and not be the 353 00:21:30,240 --> 00:21:36,840 Speaker 1: death sentence it usually is. That's Bob's goal too. I 354 00:21:37,000 --> 00:21:43,680 Speaker 1: think patients do help companies succeed when they should because 355 00:21:43,760 --> 00:21:46,200 Speaker 1: it's in their own it's in my son's best interest 356 00:21:46,280 --> 00:21:49,080 Speaker 1: for me to help any company that is doing CF 357 00:21:49,200 --> 00:21:54,120 Speaker 1: research and hopefully, you know, these drugs get priced right 358 00:21:54,440 --> 00:21:56,800 Speaker 1: that will in a way that will help the companies 359 00:21:57,200 --> 00:22:00,040 Speaker 1: get the money they invested back plus a reasonable and 360 00:22:00,119 --> 00:22:03,440 Speaker 1: I say reasonable profit and still allow enough money for 361 00:22:03,560 --> 00:22:08,960 Speaker 1: future investment for the next drug. If if Kaletko wasn't 362 00:22:09,000 --> 00:22:13,200 Speaker 1: successful in our comedy, wasn't successful, and Samedko wasn't successful, 363 00:22:13,920 --> 00:22:17,360 Speaker 1: my kid wouldn't have a drug out of Vertex. And hey, 364 00:22:17,440 --> 00:22:20,000 Speaker 1: I don't maybe I sound selfish, but I got into 365 00:22:20,080 --> 00:22:21,240 Speaker 1: this to help my own kid, and I'm not going 366 00:22:21,280 --> 00:22:40,960 Speaker 1: to stop until there's something for him. And that's it 367 00:22:41,160 --> 00:22:45,159 Speaker 1: for this week's prognosis. This season, we've been exploring the 368 00:22:45,359 --> 00:22:49,080 Speaker 1: edge of innovation in medicine. It's not limited to one group. 369 00:22:49,520 --> 00:22:54,160 Speaker 1: A revolution is underway in pharmaceutical laboratories, sure, but also 370 00:22:54,280 --> 00:22:57,800 Speaker 1: on people's kitchen tables and in their garages. Whether you're 371 00:22:57,840 --> 00:23:00,440 Speaker 1: interested in rare diseases that affect one in a million 372 00:23:00,520 --> 00:23:04,440 Speaker 1: people or the genes found in everyone, change is coming. 373 00:23:06,280 --> 00:23:09,680 Speaker 1: Thank you so much for listening. To Prognosis. This is 374 00:23:09,720 --> 00:23:13,240 Speaker 1: the last episode in our series. If you like the show, 375 00:23:13,560 --> 00:23:16,200 Speaker 1: please head on over to Apple Podcasts or wherever you 376 00:23:16,320 --> 00:23:19,680 Speaker 1: listen to rate and review us. It is so helpful. 377 00:23:20,440 --> 00:23:23,600 Speaker 1: If you've listened to all eight episodes, awesome, thanks so much. 378 00:23:24,240 --> 00:23:26,440 Speaker 1: If you haven't, please go back and check them out. 379 00:23:26,800 --> 00:23:29,840 Speaker 1: Let us know what you think. We're still deep into 380 00:23:29,920 --> 00:23:32,000 Speaker 1: healthcare and you can see what we're up to on 381 00:23:32,080 --> 00:23:38,680 Speaker 1: Bloomberg's Prognosis page. That's bloomberg dot com slash prognosis. This 382 00:23:38,800 --> 00:23:42,320 Speaker 1: episode was produced by Lindsay Cratterwell. Our story editor was 383 00:23:42,400 --> 00:23:46,639 Speaker 1: Drew Armstrong. Thanks also to Liz Smith, francesco Leavia's head 384 00:23:46,640 --> 00:23:49,840 Speaker 1: of Bloomberg Podcasts. Thanks for being with us.