1 00:00:00,520 --> 00:00:08,840 Speaker 1: It's nice eyes, Dan Ray, I'm going easy Boston's News Radio. 2 00:00:07,520 --> 00:00:10,680 Speaker 2: On This was Monday Night. This week we had one 3 00:00:10,720 --> 00:00:14,800 Speaker 2: of our eight o'clock guests who talked about an effort 4 00:00:15,440 --> 00:00:20,880 Speaker 2: here in Massachusetts to get some legislation on the books 5 00:00:21,040 --> 00:00:24,799 Speaker 2: that would help people who are dealing with cancer. And 6 00:00:25,040 --> 00:00:29,800 Speaker 2: obviously there's probably no one in this audience who doesn't 7 00:00:29,880 --> 00:00:34,840 Speaker 2: know someone or doesn't have a family member who has 8 00:00:34,960 --> 00:00:40,080 Speaker 2: not been impacted by cancer. And it's it comes in 9 00:00:40,159 --> 00:00:44,080 Speaker 2: many forms, it is. It is a disease that and 10 00:00:44,120 --> 00:00:48,080 Speaker 2: I think the researchers are doing better with over time. 11 00:00:48,640 --> 00:00:53,320 Speaker 2: But one of the things that that researchers have made 12 00:00:53,360 --> 00:00:58,200 Speaker 2: some progress on is something called a bio markers. And 13 00:00:58,320 --> 00:01:02,360 Speaker 2: we're going to explain what bio marks are and why 14 00:01:02,760 --> 00:01:06,240 Speaker 2: we need a couple of pieces of legislation in Massachusetts 15 00:01:06,280 --> 00:01:11,520 Speaker 2: to get on the books that everyone, whatever their background, 16 00:01:12,080 --> 00:01:15,320 Speaker 2: once they have been diagnosed with cancer, should have the opportunity, 17 00:01:15,440 --> 00:01:20,160 Speaker 2: if it's applicable, to have biomarkers involved in their treatment. Now, 18 00:01:20,160 --> 00:01:23,680 Speaker 2: we're not going to get real, you know, not yet 19 00:01:23,720 --> 00:01:26,760 Speaker 2: real complicated here, but I have a great guest who 20 00:01:26,800 --> 00:01:29,839 Speaker 2: was with me on Monday nineties back tonight Mark Kaimowitz. 21 00:01:30,040 --> 00:01:34,640 Speaker 2: He's the regional director of government Relations, Regional government Relations 22 00:01:34,680 --> 00:01:38,720 Speaker 2: director of the American Cancer Society and the Cancer Action Network. 23 00:01:39,240 --> 00:01:44,440 Speaker 2: And tomorrow there will be a lot of people citizens 24 00:01:44,600 --> 00:01:47,960 Speaker 2: going to the State House to lobby, and there's nothing 25 00:01:48,000 --> 00:01:51,120 Speaker 2: wrong with that word, to lobby their legislators to support 26 00:01:52,040 --> 00:01:56,720 Speaker 2: some legislation that we'll explain. So, first of all, welcome back, 27 00:01:56,800 --> 00:01:59,240 Speaker 2: Mark number one. Thanks for coming back tonight and the 28 00:01:59,320 --> 00:02:03,600 Speaker 2: longer form and being willing to answer questions from listeners 29 00:02:03,640 --> 00:02:04,280 Speaker 2: at some point. 30 00:02:04,600 --> 00:02:08,320 Speaker 3: Welcome back, Thank you, and thanks for having me back. 31 00:02:08,360 --> 00:02:11,160 Speaker 3: And I really appreciate you trying to get the word 32 00:02:11,160 --> 00:02:13,520 Speaker 3: out and help us. 33 00:02:13,560 --> 00:02:20,520 Speaker 2: You know, this is this is a nonpartisan, a bipartisan issue. 34 00:02:20,800 --> 00:02:26,680 Speaker 2: Cancer affects everyone potentially. It doesn't discriminate based upon race 35 00:02:26,840 --> 00:02:33,200 Speaker 2: or gender, ethnic background, it doesn't. It impacts people who 36 00:02:33,280 --> 00:02:42,079 Speaker 2: are Republicans, Democrats, independents, you know, socialists, every possible philosophy. 37 00:02:42,320 --> 00:02:45,799 Speaker 2: It just it's a mystery. It's a mystery. White people 38 00:02:45,840 --> 00:02:50,200 Speaker 2: get it. We know that there's a lot of cancers 39 00:02:50,200 --> 00:02:53,640 Speaker 2: that can be related to things that we've been exposed to. 40 00:02:53,680 --> 00:02:57,079 Speaker 2: A lot of people who were exposed to nine to 41 00:02:57,080 --> 00:03:02,040 Speaker 2: eleven and the recovery of bodies at nine to eleven, 42 00:03:02,120 --> 00:03:05,120 Speaker 2: and and and dealing with being there for weeks at 43 00:03:05,120 --> 00:03:07,880 Speaker 2: a time. We know that there were fire pits in 44 00:03:07,919 --> 00:03:10,680 Speaker 2: the in the in the Middle East, in Afghanistan and 45 00:03:10,760 --> 00:03:16,000 Speaker 2: in Iraq that US military. Uh it's they directly, you know, 46 00:03:16,080 --> 00:03:17,160 Speaker 2: have caused cancer. 47 00:03:17,600 --> 00:03:17,760 Speaker 3: Uh. 48 00:03:17,800 --> 00:03:22,560 Speaker 2: So everybody understands that this is a This is a 49 00:03:22,600 --> 00:03:26,880 Speaker 2: horrific disease and it affects, you know, all of our organs. 50 00:03:26,919 --> 00:03:29,760 Speaker 2: I have a friend who's dealing with pancreatic cancer right now, 51 00:03:29,800 --> 00:03:33,200 Speaker 2: and there are people who get brain cancer. So so 52 00:03:33,320 --> 00:03:39,040 Speaker 2: the good news is that there's this idea. Uh and 53 00:03:39,040 --> 00:03:42,280 Speaker 2: and it's probably more than an idea because it's being 54 00:03:42,360 --> 00:03:47,560 Speaker 2: utilized of what's called bio markers. And I think if 55 00:03:47,600 --> 00:03:50,640 Speaker 2: I'm wrong, feel free to correct remark because you're the expert. 56 00:03:50,760 --> 00:03:54,360 Speaker 2: I'm not. But these these two pieces of legislation, one 57 00:03:54,400 --> 00:03:56,040 Speaker 2: in the House and one in the Senate here in 58 00:03:56,040 --> 00:04:02,400 Speaker 2: Massachusetts focus upon bio markers. Correct correct, well, yes, can 59 00:04:02,440 --> 00:04:06,800 Speaker 2: you explain to my audience in layman's terms, none of 60 00:04:06,840 --> 00:04:10,560 Speaker 2: us ever took or passed organic chemistry in college. We 61 00:04:10,680 --> 00:04:14,840 Speaker 2: didn't even try to try to pass organic chemistry. Is 62 00:04:14,880 --> 00:04:18,240 Speaker 2: what doctors are able to pass and they then get 63 00:04:18,240 --> 00:04:21,440 Speaker 2: to go to medical school. In simple terms, what a 64 00:04:21,520 --> 00:04:24,200 Speaker 2: biomarker is, Why are they so important? What do they do? 65 00:04:24,360 --> 00:04:27,720 Speaker 2: And let's talk about how we can we can make 66 00:04:27,760 --> 00:04:30,280 Speaker 2: them more readily available. I guess that's really the purpose 67 00:04:30,360 --> 00:04:31,240 Speaker 2: of this legislation. 68 00:04:31,440 --> 00:04:39,040 Speaker 3: Correct, That's absolutely correct, And so progress in improving cancer 69 00:04:39,080 --> 00:04:45,920 Speaker 3: outcomes increasingly involve the use of precision medicine. Traditional chemotherapy, 70 00:04:45,960 --> 00:04:50,520 Speaker 3: which has been used for decades to treat cancers. It 71 00:04:50,560 --> 00:04:54,560 Speaker 3: can be effective, but it can't really. Traditional chemotherapy can't 72 00:04:54,560 --> 00:04:57,799 Speaker 3: really tell the difference between cancer cells and healthy cells, 73 00:04:58,320 --> 00:05:02,760 Speaker 3: so it poisons lots of cells and hence the side 74 00:05:02,760 --> 00:05:07,239 Speaker 3: effects and things like that. But more and more often 75 00:05:07,880 --> 00:05:11,359 Speaker 3: cancers being treated with precision medicine. They can better target 76 00:05:11,920 --> 00:05:16,120 Speaker 3: the cancer cells, so there's fewer side effects, better outcomes. 77 00:05:16,440 --> 00:05:18,640 Speaker 3: But in order to determine whether or not a patient 78 00:05:19,080 --> 00:05:23,440 Speaker 3: a patient's cancer will respond well to that precision medicine, 79 00:05:24,400 --> 00:05:27,520 Speaker 3: doctors need to do a biomarker test to see if 80 00:05:27,600 --> 00:05:32,039 Speaker 3: they if their cancer will respond well. So a biomarker 81 00:05:32,120 --> 00:05:35,040 Speaker 3: is just it's a sign of a normal biological process 82 00:05:35,200 --> 00:05:39,160 Speaker 3: or disease or abnormal function. That can be measured, so 83 00:05:39,560 --> 00:05:43,800 Speaker 3: the markers are offered gene mutations or protein expressions, and 84 00:05:43,839 --> 00:05:48,480 Speaker 3: then the biomarket test is the analysis of the patient's tissue, blood, 85 00:05:48,600 --> 00:05:52,920 Speaker 3: or other biospecimen for the presence of this biomarker. 86 00:05:53,640 --> 00:05:57,800 Speaker 2: Okay, and then yeah, so let's assume someone is diagnosed 87 00:05:57,839 --> 00:06:04,960 Speaker 2: with a cancer of some form. Is the biomarker test invasive? 88 00:06:05,480 --> 00:06:09,040 Speaker 2: Is it? Is it relatively simple? Is it unpleasant? 89 00:06:11,160 --> 00:06:11,200 Speaker 3: What? 90 00:06:11,480 --> 00:06:14,240 Speaker 2: What makes it as expensive as it is, because as 91 00:06:14,240 --> 00:06:18,120 Speaker 2: I understand that it's not necessarily readily available. 92 00:06:20,160 --> 00:06:22,119 Speaker 3: Yeah, so it could be done through a blood test 93 00:06:22,240 --> 00:06:24,719 Speaker 3: or through a biopsy, depending on the type of cancer. 94 00:06:25,480 --> 00:06:28,279 Speaker 3: It can be invasive in some cases, which is why 95 00:06:29,320 --> 00:06:30,800 Speaker 3: the bill we're looking at, and I can talk more 96 00:06:30,800 --> 00:06:34,360 Speaker 3: about it in a bit, but would require the tests 97 00:06:34,480 --> 00:06:38,480 Speaker 3: to test for all the different biomarkers that a certain 98 00:06:38,520 --> 00:06:41,680 Speaker 3: cancer might have, rather than testing for one biomarker at 99 00:06:41,720 --> 00:06:43,560 Speaker 3: a time, where you know, they have to go into 100 00:06:43,600 --> 00:06:47,800 Speaker 3: a biopsy test for that biomarker or that mutation. Patient 101 00:06:47,800 --> 00:06:50,680 Speaker 3: doesn't have it, so let's go in again, and and 102 00:06:50,880 --> 00:06:56,360 Speaker 3: you know it's more invasive. So it's just trying to 103 00:06:56,440 --> 00:06:59,880 Speaker 3: get the patient to the right treatment. At the right time. 104 00:07:00,520 --> 00:07:02,400 Speaker 2: Okay, I want to drill down a little bit more 105 00:07:02,440 --> 00:07:07,159 Speaker 2: so I understand this. Obviously, a blood test, I mean, 106 00:07:07,160 --> 00:07:09,720 Speaker 2: no one likes to have needles, But a blood test 107 00:07:09,800 --> 00:07:13,360 Speaker 2: is I assume the simplest way if you can extract 108 00:07:13,400 --> 00:07:16,560 Speaker 2: the blood and then conduct a biomarket test. I assume 109 00:07:16,640 --> 00:07:21,600 Speaker 2: that would probably be the most reasonable cost that that 110 00:07:21,640 --> 00:07:25,280 Speaker 2: an insurance company would have to incur would be if 111 00:07:25,320 --> 00:07:31,000 Speaker 2: a biopsy I assume is by necessity more complicated there 112 00:07:31,080 --> 00:07:31,880 Speaker 2: or more expensive. 113 00:07:31,960 --> 00:07:37,640 Speaker 3: Correct, correct, But you know, overall the cost of the insurers, 114 00:07:38,080 --> 00:07:39,800 Speaker 3: which is kind of what we're looking at, which is 115 00:07:39,840 --> 00:07:43,200 Speaker 3: going to be what contributes to the overall healthcare cost. 116 00:07:43,280 --> 00:07:45,720 Speaker 3: So according to a study from a couple of years 117 00:07:45,720 --> 00:07:50,679 Speaker 3: ago done by Milliman on the analysis of biomarket testing, 118 00:07:50,960 --> 00:07:55,240 Speaker 3: so the average allowed cost for biomarket tests ranges from 119 00:07:55,280 --> 00:07:57,880 Speaker 3: anywhere from about seventy eight dollars to two hundred and 120 00:07:57,880 --> 00:08:00,840 Speaker 3: twenty four dollars. You're not having. 121 00:08:01,240 --> 00:08:03,720 Speaker 2: Prohibitor even at the high end of that. 122 00:08:03,760 --> 00:08:07,920 Speaker 3: Range exactly, you know, and some may be a little 123 00:08:07,920 --> 00:08:10,400 Speaker 3: bit more, some may be a little bit less, but 124 00:08:10,480 --> 00:08:13,400 Speaker 3: it's it's overall not a huge cost. And then the 125 00:08:13,480 --> 00:08:16,920 Speaker 3: study also, so what. 126 00:08:16,960 --> 00:08:21,840 Speaker 2: Once that test is done. I assume that the information 127 00:08:21,960 --> 00:08:28,880 Speaker 2: that that that test produces makes the the treatment program 128 00:08:29,760 --> 00:08:34,440 Speaker 2: a lot more effective for most, if not all, cancer patients. 129 00:08:34,559 --> 00:08:36,440 Speaker 2: I'm just trying to break it down in the simplest 130 00:08:36,520 --> 00:08:41,280 Speaker 2: terms possible. And if I'm overstating it, you know, tell. 131 00:08:41,080 --> 00:08:45,839 Speaker 3: Me, Nope, you're you're not at all. And by doing 132 00:08:45,840 --> 00:08:50,880 Speaker 3: the biomarket tests, and not all cancers have biomarkers, but 133 00:08:51,480 --> 00:08:55,680 Speaker 3: many do, and so if a doctor can identify which 134 00:08:55,720 --> 00:09:00,319 Speaker 3: therapies are most likely to be effective, the biomarkets can 135 00:09:00,320 --> 00:09:03,840 Speaker 3: help match the patient with the best possible options so 136 00:09:05,960 --> 00:09:07,640 Speaker 3: they can stay at healthcare dollars. 137 00:09:07,800 --> 00:09:11,079 Speaker 2: Yep, let's take a break, if it's okay, And because 138 00:09:11,080 --> 00:09:12,760 Speaker 2: I want to pick up right where we are. The 139 00:09:12,840 --> 00:09:17,319 Speaker 2: benefits of Obviously, the benefit to the patient is extraordinary. 140 00:09:18,080 --> 00:09:20,760 Speaker 2: I think we've established that. If anyone doesn't understand that 141 00:09:20,800 --> 00:09:24,040 Speaker 2: and has a question, feel free. Uh. Now, when we 142 00:09:24,080 --> 00:09:27,920 Speaker 2: get back, let's talk about what are the benefits actually, 143 00:09:28,000 --> 00:09:33,160 Speaker 2: And they appear to be benefits to not only society 144 00:09:33,600 --> 00:09:36,400 Speaker 2: as well as the individual patient, but also to the 145 00:09:36,440 --> 00:09:39,600 Speaker 2: insurance company. So we'll talk about that, and we'll get 146 00:09:39,640 --> 00:09:41,640 Speaker 2: some phone calls along the way. The phone number is 147 00:09:41,679 --> 00:09:44,560 Speaker 2: six one, seven two, five, four ten thirty six one 148 00:09:44,640 --> 00:09:47,439 Speaker 2: seven nine one ten thirty. I will tell you that, look, 149 00:09:49,520 --> 00:09:53,800 Speaker 2: cancer can affect anybody at any time. It's as simple 150 00:09:53,800 --> 00:09:56,720 Speaker 2: as that, from little kids. That's why they have, you know, 151 00:09:56,760 --> 00:10:00,840 Speaker 2: some of these children's hospitals, the Jimmy Fund here in Boston, 152 00:10:00,960 --> 00:10:06,760 Speaker 2: the Boston Children's Hospital, to people who are at the 153 00:10:06,840 --> 00:10:10,680 Speaker 2: end of their lives. So this is one that I 154 00:10:10,840 --> 00:10:13,920 Speaker 2: really think everybody should get behind. And that's why I've 155 00:10:13,960 --> 00:10:20,040 Speaker 2: asked Mark Kimovitz, who is with the American Cancer Society, 156 00:10:20,080 --> 00:10:23,080 Speaker 2: to join us tonight. He can answer these questions a 157 00:10:23,080 --> 00:10:24,520 Speaker 2: lot better than I can. So if you have a 158 00:10:24,600 --> 00:10:27,480 Speaker 2: question six months seven two five four thirty, six months, 159 00:10:27,480 --> 00:10:30,840 Speaker 2: seven nine thirty, the call to action here for me 160 00:10:31,080 --> 00:10:33,120 Speaker 2: is going to be to encourage you. If we have 161 00:10:33,559 --> 00:10:36,560 Speaker 2: persuaded you this is a piece of good legislation, to 162 00:10:36,760 --> 00:10:40,320 Speaker 2: perhaps call you're a local state representative or your state senator. 163 00:10:40,360 --> 00:10:42,120 Speaker 2: We'll get to all of that, I promise, but we've 164 00:10:42,120 --> 00:10:43,719 Speaker 2: got to take this very quick break. In a couple 165 00:10:43,760 --> 00:10:46,720 Speaker 2: of commercial messages, I'll be back with my guest, the 166 00:10:46,800 --> 00:10:52,280 Speaker 2: Regional Governmental Government Relations director for the American Cancer Society 167 00:10:52,400 --> 00:10:55,680 Speaker 2: Mark Heimovitz. Right after the break. 168 00:10:56,840 --> 00:11:02,520 Speaker 1: Night Side with Dan Ray, I'm telling you Boston's News Radio. 169 00:11:03,160 --> 00:11:07,120 Speaker 2: My guest is Mark Heimowitz. He's the regional governmental government 170 00:11:07,400 --> 00:11:10,840 Speaker 2: Relations director of the American Cancer Society and the Cancer 171 00:11:10,920 --> 00:11:15,319 Speaker 2: Action Network. And tomorrow there's an effort where citizens are 172 00:11:15,320 --> 00:11:18,559 Speaker 2: going to the state House to try to speak with lobby, 173 00:11:18,559 --> 00:11:21,280 Speaker 2: if you will, the state legislator. So we've talked about 174 00:11:21,320 --> 00:11:25,200 Speaker 2: the benefits of biomarkers. There are twenty three states in 175 00:11:25,240 --> 00:11:29,439 Speaker 2: America that have passed legislation similar to what the legislature 176 00:11:29,480 --> 00:11:32,800 Speaker 2: will be considering here in Massachusetts. Many of those states 177 00:11:32,880 --> 00:11:35,719 Speaker 2: are not states that you would consider to be as 178 00:11:35,800 --> 00:11:39,920 Speaker 2: forward thinking as Massachusetts. Certainly many of those states do 179 00:11:40,080 --> 00:11:43,200 Speaker 2: not have the great medical facilities that we're blessed to 180 00:11:43,280 --> 00:11:49,120 Speaker 2: have here in Massachusetts. But Massachusetts, along with Vermont, New Hampshire, 181 00:11:49,160 --> 00:11:52,240 Speaker 2: and New England in Maine, excuse me here in New England, 182 00:11:52,720 --> 00:11:58,240 Speaker 2: are considering this type of legislation. How much we have 183 00:11:58,360 --> 00:12:01,520 Speaker 2: a sixty two or sixty four or billion dollars state 184 00:12:01,559 --> 00:12:06,480 Speaker 2: budget in Massachusetts. Is there any estimate of how much 185 00:12:07,160 --> 00:12:15,520 Speaker 2: annually the cost of utilizing biomarkers markers for cancer patients 186 00:12:16,200 --> 00:12:21,240 Speaker 2: would increase the cost of health insurance or or cost 187 00:12:21,400 --> 00:12:24,360 Speaker 2: the cost of medicine here in Massachusetts. Is it a 188 00:12:24,440 --> 00:12:25,600 Speaker 2: prohibitive number? 189 00:12:27,880 --> 00:12:30,320 Speaker 3: We don't believe so. And so the study at the 190 00:12:30,360 --> 00:12:33,559 Speaker 3: milliment study I mentioned earlier also looked at the per 191 00:12:33,640 --> 00:12:36,960 Speaker 3: member per month cost of providing this benefit, and that's 192 00:12:37,160 --> 00:12:41,440 Speaker 3: so that's how things like this are costed out for insurance. 193 00:12:41,559 --> 00:12:44,920 Speaker 3: And it projected an impact of about eight cents to 194 00:12:45,080 --> 00:12:48,920 Speaker 3: fifty one cents per member per month. And so that's 195 00:12:48,960 --> 00:12:51,800 Speaker 3: the cost of the benefit. But that does not account 196 00:12:51,880 --> 00:12:55,840 Speaker 3: for potential cost savings from avoiding ineffective treatments. 197 00:12:55,840 --> 00:12:58,480 Speaker 2: Well, okay, so let's put the cost savings away for 198 00:12:58,520 --> 00:13:00,880 Speaker 2: a second. Let's just talk. If you telling about eight 199 00:13:01,040 --> 00:13:04,720 Speaker 2: cents to fifty one cents a month, eight cents times 200 00:13:05,000 --> 00:13:08,760 Speaker 2: eight times twelve is like a dollar a year, and 201 00:13:09,080 --> 00:13:12,160 Speaker 2: fifty cents times twelve is six dollars a year. Even 202 00:13:12,240 --> 00:13:15,640 Speaker 2: I can use I can do that math. So for 203 00:13:16,760 --> 00:13:20,640 Speaker 2: on that of course means that the patients it's an average, 204 00:13:20,679 --> 00:13:23,040 Speaker 2: So you have the vast majority of patients are not 205 00:13:23,080 --> 00:13:29,880 Speaker 2: being treated for biomarkers for cancer and utilizing biomarkers. This 206 00:13:29,960 --> 00:13:34,160 Speaker 2: seems to me to be just at that point a 207 00:13:34,200 --> 00:13:39,560 Speaker 2: great idea, what are the potential savings down the line 208 00:13:39,720 --> 00:13:42,440 Speaker 2: so that people will be able to be diagnosed and 209 00:13:42,520 --> 00:13:47,520 Speaker 2: treated earlier with cancer who have cancer, which obviously leads 210 00:13:47,800 --> 00:13:50,959 Speaker 2: if you get if you treat this disease early and effectively, 211 00:13:51,400 --> 00:13:54,439 Speaker 2: you have a much better chance to survive. So what 212 00:13:54,840 --> 00:13:57,760 Speaker 2: are the and and you would you would not have 213 00:13:57,800 --> 00:14:01,319 Speaker 2: to be dealing with a lot of the the medicines 214 00:14:01,400 --> 00:14:05,839 Speaker 2: and the treatments and the therapies once once you get 215 00:14:05,920 --> 00:14:07,560 Speaker 2: rid of the cancer. So what are the what are 216 00:14:07,600 --> 00:14:08,480 Speaker 2: the cost savings. 217 00:14:10,640 --> 00:14:15,160 Speaker 3: Some of the obvious cost savings are avoided treatments, right, 218 00:14:15,200 --> 00:14:18,640 Speaker 3: So the treatments that are avoided because if you if 219 00:14:18,679 --> 00:14:21,560 Speaker 3: your doctor knows you have a certain biomarker and that 220 00:14:21,720 --> 00:14:24,720 Speaker 3: certain treatments will be ineffective, they're not going to put 221 00:14:24,720 --> 00:14:27,320 Speaker 3: you through those. They can get you to the treatments 222 00:14:27,320 --> 00:14:32,400 Speaker 3: that they know will be more effective. So unavoided treatment 223 00:14:32,480 --> 00:14:41,240 Speaker 3: is one cost savings. Then there's others where there's certain 224 00:14:41,280 --> 00:14:45,080 Speaker 3: cancers that are treated with a bone marrow transplant. There's 225 00:14:45,120 --> 00:14:50,720 Speaker 3: some newer precision medicines now that bone marrow transplants extremely expensive, 226 00:14:50,800 --> 00:14:57,120 Speaker 3: not to mention very invasive on patients not. 227 00:14:57,200 --> 00:14:58,920 Speaker 2: A pleasant experience. 228 00:14:58,400 --> 00:15:02,360 Speaker 3: From what I understand exactly, and you are hundreds of 229 00:15:02,360 --> 00:15:05,720 Speaker 3: thousands of dollars. There's now some precision medicines that can 230 00:15:05,760 --> 00:15:09,280 Speaker 3: treat some of those cancers without having to do a 231 00:15:09,320 --> 00:15:13,040 Speaker 3: bone mare or transplant. But they need the doctor needs 232 00:15:13,080 --> 00:15:15,480 Speaker 3: to know whether or not the patient will respond to 233 00:15:15,520 --> 00:15:18,600 Speaker 3: those and they can tell that by seeing if the 234 00:15:18,680 --> 00:15:22,680 Speaker 3: patient has a specific biomarker specific mutation. And so obviously 235 00:15:22,720 --> 00:15:26,160 Speaker 3: there's huge cost saving there, and you know, lawmakers have 236 00:15:26,240 --> 00:15:28,960 Speaker 3: to look at costs, and we get that. Obviously, there's 237 00:15:29,000 --> 00:15:30,920 Speaker 3: also the benefit to the patient as well. 238 00:15:32,080 --> 00:15:35,240 Speaker 2: There's also another and the benefits of the patient. If 239 00:15:35,320 --> 00:15:39,000 Speaker 2: this increase is the likely that the patient can actually 240 00:15:39,040 --> 00:15:44,720 Speaker 2: survive a cancer, the years that they might live with 241 00:15:44,760 --> 00:15:47,880 Speaker 2: their family and see with their children and with their grandchildren, 242 00:15:47,920 --> 00:15:50,880 Speaker 2: the great grandchildren. There's no way to put a value 243 00:15:50,880 --> 00:15:53,280 Speaker 2: in that. Let me cut to the chase here for 244 00:15:53,320 --> 00:15:56,120 Speaker 2: a second, okay, And I don't want to in any way, 245 00:15:56,160 --> 00:15:59,360 Speaker 2: shape or form call into question how good we are 246 00:15:59,400 --> 00:16:02,120 Speaker 2: here in Massachusetts. We have the best medical treatment in 247 00:16:02,160 --> 00:16:05,160 Speaker 2: the country. We're blessed. If you're going to get sick, 248 00:16:05,200 --> 00:16:08,480 Speaker 2: you want to get sick in Massachusetts. A lot of 249 00:16:08,520 --> 00:16:12,480 Speaker 2: things we can use to criticize Massachusetts weather blizzards, uh, 250 00:16:12,520 --> 00:16:15,320 Speaker 2: maybe the taxes and all of that, But in terms 251 00:16:15,400 --> 00:16:23,040 Speaker 2: of medical treatment, in medical technologies, we're number one. But 252 00:16:23,120 --> 00:16:26,840 Speaker 2: there's twenty three states that have already said, okay, we 253 00:16:27,320 --> 00:16:31,080 Speaker 2: will pass this law for our citizens, including states that 254 00:16:31,200 --> 00:16:34,080 Speaker 2: you don't think of as states that are on the 255 00:16:34,120 --> 00:16:45,320 Speaker 2: forefront of you know, the medical community, states like Oklahoma, Nebraska, Iowa, Indiana, Kentucky, Georgia, 256 00:16:45,840 --> 00:16:51,600 Speaker 2: and Mississippi. How how is it that these states of 257 00:16:51,640 --> 00:16:55,600 Speaker 2: our resolved this in their legislatures and signed by the 258 00:16:55,640 --> 00:16:59,560 Speaker 2: governors and we're still we're still struggling with it and 259 00:17:00,120 --> 00:17:02,240 Speaker 2: and have have the need to have this day of 260 00:17:02,320 --> 00:17:03,200 Speaker 2: lobbying tomorrow. 261 00:17:05,600 --> 00:17:11,399 Speaker 3: Yeah, and you know the states you mentioned and the bipartisan, 262 00:17:12,480 --> 00:17:16,800 Speaker 3: bipartisanship of this issue speaks to what you were talking 263 00:17:16,840 --> 00:17:19,360 Speaker 3: about earlier. Right, No one, no one has not been 264 00:17:19,560 --> 00:17:22,040 Speaker 3: There's no one that has been not been affected by cancer, 265 00:17:22,040 --> 00:17:24,240 Speaker 3: whether it's themselves, their family, their friends. 266 00:17:24,480 --> 00:17:27,399 Speaker 2: And if you were, even if somehow you've got a 267 00:17:27,440 --> 00:17:31,399 Speaker 2: family that's never been impacted by cancer, your neighbors, have, 268 00:17:31,920 --> 00:17:34,480 Speaker 2: the people you work with, I mean, your friends, go 269 00:17:34,480 --> 00:17:37,440 Speaker 2: ahead I didn't mean to interrupt. Mark right ahead. 270 00:17:37,680 --> 00:17:40,280 Speaker 3: Yeah, no, no, you're you're you're absolutely right, and and 271 00:17:40,600 --> 00:17:43,680 Speaker 3: you know, it's just like that here in Massachusetts. We've 272 00:17:43,680 --> 00:17:46,080 Speaker 3: got bipartisan support in the House and the Senate. We've 273 00:17:46,119 --> 00:17:50,960 Speaker 3: got Republicans Democrats. This is the second session that the 274 00:17:50,960 --> 00:17:53,960 Speaker 3: bill has been filed in this form in Massachusetts, and 275 00:17:54,280 --> 00:17:58,440 Speaker 3: we've worked with lots of great legislators and we're very 276 00:17:58,440 --> 00:18:02,520 Speaker 3: excited because we're making some some real good progress this session. 277 00:18:02,640 --> 00:18:06,800 Speaker 3: So the bill has been reported favorably out of two 278 00:18:06,920 --> 00:18:09,960 Speaker 3: important committees, the Joint Committee on Financial Services and the 279 00:18:10,040 --> 00:18:13,600 Speaker 3: Joint Committee on Healthcare Financing, and we're appreciative of the 280 00:18:13,600 --> 00:18:15,760 Speaker 3: folks on those committees. It's now in the House Ways 281 00:18:15,760 --> 00:18:18,959 Speaker 3: and Means Committee, and we're working and meeting with members 282 00:18:18,960 --> 00:18:25,520 Speaker 3: of that committee. And it's an education process legislature in Massachusetts. 283 00:18:25,520 --> 00:18:27,960 Speaker 3: I think there's six or seven thousand bills filed every year, 284 00:18:28,000 --> 00:18:32,400 Speaker 3: and as advocates, part of our job is to educate 285 00:18:32,520 --> 00:18:36,080 Speaker 3: our elected officials as to what's important and what could 286 00:18:36,080 --> 00:18:40,120 Speaker 3: benefit us, our families and the residents of Massachusetts. And 287 00:18:40,840 --> 00:18:43,440 Speaker 3: that's why, as you mentioned, we're going to have our 288 00:18:43,640 --> 00:18:46,880 Speaker 3: American Camp Society Cancer Action Network Lobby Day tomorrow. We've 289 00:18:47,560 --> 00:18:49,679 Speaker 3: we're up to I think over one hundred and thirty 290 00:18:49,720 --> 00:18:52,919 Speaker 3: of our volunteers from across the state that will be 291 00:18:52,960 --> 00:18:56,720 Speaker 3: at the State House tomorrow. They've got meetings scheduled with 292 00:18:56,840 --> 00:19:01,040 Speaker 3: their state representatives, their state senators to talk to them 293 00:19:01,080 --> 00:19:04,960 Speaker 3: about why it's important to pass this bill and the 294 00:19:05,840 --> 00:19:09,600 Speaker 3: benefits of biomarker testing getting patients to the right treatment 295 00:19:09,640 --> 00:19:12,439 Speaker 3: at the right time. And several of the volunteers that 296 00:19:12,480 --> 00:19:15,840 Speaker 3: will have up there tomorrow have stories of their own 297 00:19:15,960 --> 00:19:20,840 Speaker 3: that biomarker testing was part of their cancer treatment, and 298 00:19:21,960 --> 00:19:24,600 Speaker 3: we talked about the cost saving. So at least one 299 00:19:24,600 --> 00:19:27,560 Speaker 3: of our volunteers who shares her story off and talks 300 00:19:27,600 --> 00:19:31,280 Speaker 3: about going through lung cancer treatments over a couple of 301 00:19:31,359 --> 00:19:36,680 Speaker 3: years when traditional chemotherapy, this volunteer would not be able 302 00:19:36,680 --> 00:19:38,400 Speaker 3: to have worked, would not be able to have gone 303 00:19:38,400 --> 00:19:42,320 Speaker 3: on with life while they were being treated. But because 304 00:19:42,359 --> 00:19:47,119 Speaker 3: they were able to get precision medicine, and because they 305 00:19:47,119 --> 00:19:50,880 Speaker 3: got a biomarket test which determined that she would benefit 306 00:19:50,920 --> 00:19:54,040 Speaker 3: from precision medicine, she was able to continue to work. 307 00:19:54,920 --> 00:19:57,240 Speaker 3: If you didn't know it just by looking at her, 308 00:19:57,680 --> 00:20:00,720 Speaker 3: wouldn't know she was going through cancer treatments, continue to work, 309 00:20:00,760 --> 00:20:06,000 Speaker 3: spend time with their family, even just you know, there's 310 00:20:06,400 --> 00:20:11,960 Speaker 3: cost there's cost savings to having people out in the 311 00:20:12,000 --> 00:20:14,640 Speaker 3: workforce being able to continue to work and be productive. 312 00:20:14,720 --> 00:20:17,720 Speaker 3: So yeah, absolutely talk about the cost savings, but that's 313 00:20:17,760 --> 00:20:19,840 Speaker 3: also a cost benefit as well. 314 00:20:20,080 --> 00:20:22,480 Speaker 2: Mark, I think we've made the case. I'm going to 315 00:20:22,560 --> 00:20:25,320 Speaker 2: go to phone calls right after the news break, folks, 316 00:20:26,119 --> 00:20:27,720 Speaker 2: I want to give you the main number of the 317 00:20:27,760 --> 00:20:29,320 Speaker 2: State House, and if you want to talk to your 318 00:20:29,359 --> 00:20:33,080 Speaker 2: state representative or your state senator or the office and 319 00:20:33,119 --> 00:20:36,600 Speaker 2: you can't physically get to the State House tomorrow, I'll 320 00:20:36,640 --> 00:20:39,320 Speaker 2: give this number a couple of times, but at six one, seven, 321 00:20:39,800 --> 00:20:42,480 Speaker 2: seven to two thou and all you do is you 322 00:20:42,560 --> 00:20:45,280 Speaker 2: tell them where you live and they will forward you 323 00:20:45,440 --> 00:20:48,320 Speaker 2: to your representative and you can leave a message or 324 00:20:48,359 --> 00:20:50,960 Speaker 2: talk to a staff member and we'll give you the 325 00:20:52,280 --> 00:20:55,720 Speaker 2: numbers of the pieces of legislation. They'll know what it is, 326 00:20:55,920 --> 00:20:58,840 Speaker 2: basically in both the House and Senate, the Buyer Market Bill. 327 00:20:58,840 --> 00:21:00,080 Speaker 2: We're going to take a break, I'm going to be 328 00:21:00,160 --> 00:21:03,639 Speaker 2: back with phone calls. My guest is Mark Heimowitz. He 329 00:21:03,760 --> 00:21:07,680 Speaker 2: is with the American Cancer Society. Cancer Action Network. He's 330 00:21:07,720 --> 00:21:10,760 Speaker 2: explained it really well, so even I can understand that, 331 00:21:10,840 --> 00:21:12,919 Speaker 2: and if I can understand that, I know most of 332 00:21:12,960 --> 00:21:16,040 Speaker 2: you will be able to understand that as well, because 333 00:21:16,160 --> 00:21:18,440 Speaker 2: I was never really good in this sort of stuff, 334 00:21:18,840 --> 00:21:24,320 Speaker 2: uh uh at college. But the American Cancer Society is 335 00:21:24,320 --> 00:21:26,600 Speaker 2: the one that is out there trying to eradicate this 336 00:21:27,000 --> 00:21:31,040 Speaker 2: horrific set of diseases which afflict so many of us. 337 00:21:31,119 --> 00:21:34,240 Speaker 2: Will take a break. The only one line that is 338 00:21:34,280 --> 00:21:36,000 Speaker 2: open right now if you want to get through is 339 00:21:36,080 --> 00:21:39,000 Speaker 2: six one, seven, nine, three, one, ten thirty. We're going 340 00:21:39,080 --> 00:21:41,879 Speaker 2: to get to the phone callers right after the break, 341 00:21:42,160 --> 00:21:43,800 Speaker 2: and the newscast at the bottom of the hour. 342 00:21:45,840 --> 00:21:50,520 Speaker 1: It's Night Sided with Dan Ray on Boston's news radio. 343 00:21:51,040 --> 00:21:56,119 Speaker 2: We're talking about the concept called biomarkers, which apparently are 344 00:21:56,240 --> 00:22:02,240 Speaker 2: very effective in helping medical providers decide what cancer treatments 345 00:22:02,359 --> 00:22:06,440 Speaker 2: would be most effective for each and every cancer patient. 346 00:22:07,400 --> 00:22:10,240 Speaker 2: And they are not at this point covered by insurance 347 00:22:10,640 --> 00:22:13,679 Speaker 2: in Massachusetts. And the effort now is to get a 348 00:22:13,720 --> 00:22:17,679 Speaker 2: piece of legislation in Massachusetts which will cover biomarker treatments 349 00:22:18,160 --> 00:22:23,680 Speaker 2: for every person in Massachusetts under the Massachusetts Insurance policies. 350 00:22:23,720 --> 00:22:29,320 Speaker 2: Whether I assume Mark. My guess is Markheimowitz. I assume Mark. 351 00:22:29,840 --> 00:22:33,760 Speaker 2: This would either be private insurance companies or state sponsored 352 00:22:33,760 --> 00:22:36,800 Speaker 2: insurance insurers. Correct this for the. 353 00:22:36,880 --> 00:22:44,560 Speaker 3: All state regulated insurers, well said Medicaid and state retirees 354 00:22:44,600 --> 00:22:45,120 Speaker 3: and employees. 355 00:22:45,480 --> 00:22:52,240 Speaker 2: Okay, and not a prohibitive cost. Probably the savings will 356 00:22:52,560 --> 00:22:57,159 Speaker 2: far outreach the cost of the program. There are already 357 00:22:57,200 --> 00:22:59,840 Speaker 2: twenty three states, including many states that you might not 358 00:23:00,080 --> 00:23:04,440 Speaker 2: think of as being in the forefront of medical procedures, 359 00:23:04,640 --> 00:23:08,480 Speaker 2: and Massachusetts has a little catch it up to do. 360 00:23:08,800 --> 00:23:10,680 Speaker 2: So let's go to the calls and see what people 361 00:23:10,680 --> 00:23:12,480 Speaker 2: have to think. And some of you have waited quite 362 00:23:12,480 --> 00:23:17,200 Speaker 2: a while. I appreciate that. Junga or Junga in Lindfield, welcome. 363 00:23:17,240 --> 00:23:19,280 Speaker 2: You are first this hour of nightside. Give me the 364 00:23:19,320 --> 00:23:20,840 Speaker 2: correct pronunciation of your. 365 00:23:20,760 --> 00:23:25,640 Speaker 4: Name, Changa. Thank you, thanks for taking my call. Dan, 366 00:23:26,000 --> 00:23:32,280 Speaker 4: It's called Younga Tanga. Okay, thank you for calling taking 367 00:23:32,320 --> 00:23:36,639 Speaker 4: my call, Dan, thank you. I'm just calling in and 368 00:23:36,840 --> 00:23:39,640 Speaker 4: I just wanted to share my story because I think 369 00:23:39,680 --> 00:23:43,920 Speaker 4: it's really very important for your audience to know how 370 00:23:43,960 --> 00:23:49,320 Speaker 4: important these biomarker testing is and saving lives cancer patients particularly, 371 00:23:49,960 --> 00:23:55,640 Speaker 4: And I'm a cancer survivor. I'm a stage three lung 372 00:23:55,680 --> 00:23:59,240 Speaker 4: cancer survivor. I was just just to give you a background. 373 00:23:59,280 --> 00:24:04,159 Speaker 4: I'm a non smose Korean American who was diagnosed in 374 00:24:04,200 --> 00:24:08,840 Speaker 4: twenty two and I had a fabulous oncologist who was 375 00:24:08,960 --> 00:24:11,960 Speaker 4: very knowledgeable, and he suspected that I had a certain 376 00:24:12,080 --> 00:24:17,600 Speaker 4: mutation because of my East Asian descent. Okay, so he 377 00:24:17,960 --> 00:24:21,520 Speaker 4: had this biomarker testing done for me, and it was 378 00:24:21,560 --> 00:24:24,479 Speaker 4: a simple blood test. It took a couple of days 379 00:24:24,520 --> 00:24:28,439 Speaker 4: for the results to come back, and at the time, 380 00:24:28,680 --> 00:24:32,160 Speaker 4: it was really important that I got this information as 381 00:24:32,200 --> 00:24:35,600 Speaker 4: soon as possible. So in the matter of two days, 382 00:24:35,680 --> 00:24:38,879 Speaker 4: he found out that I did not have an EGFR, 383 00:24:39,080 --> 00:24:42,720 Speaker 4: but I had something very rare, which is a noncurable 384 00:24:43,040 --> 00:24:50,200 Speaker 4: situation with me, and it showed him that the plan 385 00:24:50,359 --> 00:24:54,600 Speaker 4: that we had maybe going down chemotherapy or immunotherapy was 386 00:24:54,640 --> 00:24:57,119 Speaker 4: going to be something that would not work for me. 387 00:24:58,520 --> 00:25:01,919 Speaker 4: I had such a rare condition that it tied me 388 00:25:02,080 --> 00:25:05,879 Speaker 4: to a certain medication that's FDA approved, and I took it. 389 00:25:05,880 --> 00:25:10,119 Speaker 4: It was four pills every single day as my first 390 00:25:10,200 --> 00:25:17,359 Speaker 4: target treatment. This pill saved my life. It shranked my 391 00:25:17,680 --> 00:25:22,840 Speaker 4: tumor cells by forty percent in two months, and it 392 00:25:23,080 --> 00:25:25,320 Speaker 4: had such little side effects that I was able to 393 00:25:25,520 --> 00:25:31,680 Speaker 4: just kind of weightlift and you know, feed myself and 394 00:25:31,920 --> 00:25:34,919 Speaker 4: get dressed and work and carry on like a normal 395 00:25:35,000 --> 00:25:36,280 Speaker 4: person without cancer. 396 00:25:36,440 --> 00:25:38,720 Speaker 2: How long ago on? How many years ago? 397 00:25:39,520 --> 00:25:43,879 Speaker 4: This was in twenty two? Okay, So I'm now disease free. 398 00:25:43,920 --> 00:25:47,840 Speaker 4: So I am cancer free at this a day because 399 00:25:48,080 --> 00:25:54,119 Speaker 4: of the remarkable results from the buyermarker panel. And what's 400 00:25:54,240 --> 00:25:57,200 Speaker 4: really upsetting right now, Dan, just to make the long 401 00:25:57,240 --> 00:26:01,879 Speaker 4: story short, is that my insurance company denied that coverage. 402 00:26:02,080 --> 00:26:04,879 Speaker 2: So the blood test and how much one of the 403 00:26:05,320 --> 00:26:09,280 Speaker 2: how much was the blood test did it cost? It 404 00:26:09,320 --> 00:26:11,560 Speaker 2: had not, It could not have been prohibitive if it 405 00:26:11,600 --> 00:26:12,320 Speaker 2: was a blood test. 406 00:26:14,280 --> 00:26:17,280 Speaker 4: Well, the blood test was not covered by my insurance, 407 00:26:17,560 --> 00:26:23,800 Speaker 4: but the company that had done the blood test analysis 408 00:26:24,440 --> 00:26:27,800 Speaker 4: had submitted my claims and fought for me, so they 409 00:26:27,840 --> 00:26:31,159 Speaker 4: buried that cost because they knew that this was going 410 00:26:31,200 --> 00:26:32,840 Speaker 4: to be an obstacle for patients. 411 00:26:33,040 --> 00:26:35,480 Speaker 2: No, No, I get that. But Mike, I'm asking the 412 00:26:35,560 --> 00:26:38,160 Speaker 2: question for a reason. And that is, if you said 413 00:26:38,160 --> 00:26:41,160 Speaker 2: to me the blood test was seventy seven thousand dollars, 414 00:26:41,960 --> 00:26:44,480 Speaker 2: you might say, well, the insurance company probably that was 415 00:26:44,520 --> 00:26:46,720 Speaker 2: a big amount of money I got to wish. I 416 00:26:46,720 --> 00:26:49,320 Speaker 2: don't think that blood test was a fraction of that. 417 00:26:49,600 --> 00:26:52,880 Speaker 2: Do you have any idea how much you know? When? 418 00:26:53,000 --> 00:26:57,239 Speaker 2: When the when when the insurance company rejects, you know, 419 00:26:57,359 --> 00:27:00,080 Speaker 2: a fifty thousand dollars item and you say, well, they 420 00:27:00,080 --> 00:27:04,560 Speaker 2: don't cover that, unfortunately, But when they reject I don't know, 421 00:27:04,760 --> 00:27:09,320 Speaker 2: you know, thirty cents for a copy of some medical report, 422 00:27:09,680 --> 00:27:11,840 Speaker 2: do you if you know? Great, If you don't, that's okay. 423 00:27:12,200 --> 00:27:13,879 Speaker 2: I'll bet it's pretty inexpensive. 424 00:27:14,680 --> 00:27:17,280 Speaker 4: Yeah. Well, I never really got a bill, so I 425 00:27:17,280 --> 00:27:19,720 Speaker 4: can't say for sure. But let me tell you something 426 00:27:19,840 --> 00:27:24,880 Speaker 4: that's really ridiculous and nonsensical is that they the same 427 00:27:24,920 --> 00:27:30,280 Speaker 4: insurance company covered and paid for that oral medication that 428 00:27:30,359 --> 00:27:35,400 Speaker 4: costs twenty thousand dollars a month, yet they will not 429 00:27:35,640 --> 00:27:38,560 Speaker 4: cover the blood test that tells me that I should 430 00:27:38,600 --> 00:27:39,480 Speaker 4: take that medication. 431 00:27:39,640 --> 00:27:42,960 Speaker 2: Yeah, boy, that's that's interesting. Mark. Would you be able 432 00:27:42,960 --> 00:27:46,480 Speaker 2: to estimate what you think a biomarker blood test would cost? 433 00:27:46,520 --> 00:27:49,520 Speaker 2: I mean again, I think it's important for the audience 434 00:27:49,560 --> 00:27:52,359 Speaker 2: to understand that if this was going to cost one 435 00:27:52,440 --> 00:27:56,000 Speaker 2: hundred thousand dollars for every person, the insurance company may 436 00:27:56,000 --> 00:27:57,320 Speaker 2: say Look, we'd love to be able to do it, 437 00:27:57,320 --> 00:28:00,200 Speaker 2: but that's prohibitive. But I'm going to assume out of 438 00:28:00,200 --> 00:28:02,960 Speaker 2: a blood test it's not something that's prohibitive. Or maybe 439 00:28:02,960 --> 00:28:03,400 Speaker 2: I'm wrong. 440 00:28:04,920 --> 00:28:07,639 Speaker 5: Yeah, I don't know the exact test, but I go 441 00:28:08,200 --> 00:28:12,520 Speaker 5: back to the study that we were talking about earlier 442 00:28:13,000 --> 00:28:16,480 Speaker 5: that reported the test range the cost of the test 443 00:28:16,600 --> 00:28:18,920 Speaker 5: range from seventy eight dollars to about two hundred and 444 00:28:18,960 --> 00:28:21,840 Speaker 5: twenty four dollars with to obviously some more expensive some 445 00:28:22,000 --> 00:28:22,720 Speaker 5: left left. 446 00:28:22,800 --> 00:28:25,359 Speaker 6: But you'll know, you're. 447 00:28:25,320 --> 00:28:28,520 Speaker 3: Right, not not huge amounts, but it does the story. 448 00:28:29,080 --> 00:28:32,359 Speaker 3: That story does highlight. One of the major reasons why 449 00:28:32,400 --> 00:28:34,879 Speaker 3: we want to get this bill passed is because not 450 00:28:35,040 --> 00:28:41,360 Speaker 3: everyone's benefiting from precision medicine through biomarker testing. If if 451 00:28:41,400 --> 00:28:44,640 Speaker 3: someone's treated in an academic medical center like Dana Farda 452 00:28:44,720 --> 00:28:47,680 Speaker 3: or a mass General Cancer Institute here in Boston, two 453 00:28:47,800 --> 00:28:52,280 Speaker 3: great great world renound facilities, chances are if they're if 454 00:28:52,280 --> 00:28:56,280 Speaker 3: a person's insurance doesn't cover the biomarker test, those they're 455 00:28:56,680 --> 00:28:58,680 Speaker 3: they're going to eat the cost because they know that 456 00:28:58,840 --> 00:29:02,360 Speaker 3: it's it's not cost prohibitive and it's an important part 457 00:29:02,360 --> 00:29:05,120 Speaker 3: of a treatment plan. But if you're being treated in 458 00:29:05,200 --> 00:29:08,680 Speaker 3: a community hospital or a rural hospital that can't afford 459 00:29:08,720 --> 00:29:11,040 Speaker 3: to eat those costs. You're less likely to get that 460 00:29:11,040 --> 00:29:14,800 Speaker 3: biomarker test if your insurance doesn't coverage. So you know 461 00:29:14,960 --> 00:29:19,440 Speaker 3: that and other disparities are being exacerbated, and that's a 462 00:29:19,480 --> 00:29:21,320 Speaker 3: big reason why we want to get this bill passed. 463 00:29:21,360 --> 00:29:24,320 Speaker 3: So everyone, no matter where you live, no matter your 464 00:29:24,360 --> 00:29:32,000 Speaker 3: socioeconomic situation, or your your race, whatever, everyone will have 465 00:29:32,080 --> 00:29:35,120 Speaker 3: equal access to precision medicine and bio market testing. 466 00:29:35,480 --> 00:29:37,400 Speaker 2: Sounds great. Thank you so much for your call. I 467 00:29:37,440 --> 00:29:42,280 Speaker 2: appreciate it very much. Thank youngulations on beating cancer. Thank 468 00:29:42,280 --> 00:29:44,960 Speaker 2: you so thank you. Talk to Okay, we'll take a 469 00:29:44,960 --> 00:29:49,360 Speaker 2: break back with my guest, Mark him Limits. He is 470 00:29:49,400 --> 00:29:54,440 Speaker 2: the regional government relations director of the American Cancer Society. 471 00:29:55,200 --> 00:29:57,760 Speaker 2: Every one of the line, faith in, Becca and Ron. 472 00:29:57,840 --> 00:29:59,720 Speaker 2: I'm going to get you in. If anyone else would 473 00:29:59,760 --> 00:30:02,040 Speaker 2: like to join the conversation. Six one seven, two, five, four, 474 00:30:02,120 --> 00:30:06,800 Speaker 2: ten thirty or six one seven nine, It's. 475 00:30:06,760 --> 00:30:11,120 Speaker 1: Night Side with Dan Ray on wbzas Boston's news radio. 476 00:30:11,320 --> 00:30:14,120 Speaker 2: Back to the phone calls. We're talking about biomarkers and 477 00:30:14,480 --> 00:30:17,360 Speaker 2: the legislation will have an opportunity I think to see 478 00:30:17,360 --> 00:30:20,000 Speaker 2: a lot of people tomorrow if you'd like to join them. 479 00:30:20,400 --> 00:30:22,440 Speaker 2: I guess the meeting at the steps of this is 480 00:30:22,480 --> 00:30:25,320 Speaker 2: it the steps of the State House mark at eleven 481 00:30:25,440 --> 00:30:29,760 Speaker 2: or is it inside in the state House at eleven It's. 482 00:30:29,440 --> 00:30:32,440 Speaker 3: It's inside the State House at the Grand Staircase, which 483 00:30:32,440 --> 00:30:35,080 Speaker 3: is on the second floor, and our speaking program starts 484 00:30:35,120 --> 00:30:35,880 Speaker 3: at eleven o'clock. 485 00:30:36,160 --> 00:30:37,560 Speaker 2: We'd love to have an a lot of people then 486 00:30:37,640 --> 00:30:42,440 Speaker 2: go visit their legislators, hopefully exactly. Let's go next to 487 00:30:42,520 --> 00:30:45,240 Speaker 2: Faith in Medford. Faith Welcome next on Nightside. 488 00:30:46,800 --> 00:30:49,840 Speaker 7: Hi Dan, I'm Mike. Thanks so much for having Neil 489 00:30:49,880 --> 00:30:51,960 Speaker 7: and me and Mike, thank you so much for talking 490 00:30:51,960 --> 00:30:54,840 Speaker 7: about this important stuff. I'm you know, listening to the 491 00:30:55,120 --> 00:30:57,480 Speaker 7: last call or this really hits home for me and 492 00:30:57,560 --> 00:31:01,080 Speaker 7: especially everything you're talking about, because I lost my mother 493 00:31:01,160 --> 00:31:05,040 Speaker 7: to lung cancer, and it just her story sounded so 494 00:31:05,080 --> 00:31:08,840 Speaker 7: similar to my mom's. But my mom went undiagnosed for 495 00:31:08,920 --> 00:31:11,120 Speaker 7: three months, like she was. She was just coughing. She 496 00:31:11,200 --> 00:31:13,360 Speaker 7: was coughing so much. We couldn't figure out what was wrong. 497 00:31:13,680 --> 00:31:15,840 Speaker 8: They said, maybe it was cheap, maybe it was seeming 498 00:31:15,920 --> 00:31:18,840 Speaker 8: like who who knows? And then it took three months, 499 00:31:18,880 --> 00:31:21,400 Speaker 8: but then they said that eventually it was lung cancer. 500 00:31:21,920 --> 00:31:24,920 Speaker 8: And the experience the woman who just called in what 501 00:31:25,040 --> 00:31:28,080 Speaker 8: she spoke about, like, she also had lung cancer. She 502 00:31:28,160 --> 00:31:31,960 Speaker 8: beat it and because of this biomarker testing. That guy 503 00:31:32,040 --> 00:31:33,000 Speaker 8: I didn't know about this. 504 00:31:33,520 --> 00:31:36,840 Speaker 7: I'm not political, I don't know much about science, but like, 505 00:31:37,120 --> 00:31:39,200 Speaker 7: I'm not an expert in this, but this could have 506 00:31:39,320 --> 00:31:40,200 Speaker 7: saved her. 507 00:31:40,360 --> 00:31:44,480 Speaker 2: And when did you pass? Faith? When did your mom pass? 508 00:31:44,520 --> 00:31:45,080 Speaker 2: How long ago? 509 00:31:46,560 --> 00:31:49,000 Speaker 7: This was in nineteen ninety nine, So. 510 00:31:49,240 --> 00:31:52,240 Speaker 2: I don't know. I just want to put your mind ease. 511 00:31:52,800 --> 00:31:57,120 Speaker 2: I don't know if biomarkers were even available, of how 512 00:31:57,160 --> 00:31:58,960 Speaker 2: long a biomarkers been around. 513 00:31:58,680 --> 00:32:05,320 Speaker 3: Mark it's somewhat of the newer over the last several years. 514 00:32:05,360 --> 00:32:09,320 Speaker 3: But you know, there's many stories like that where because 515 00:32:09,320 --> 00:32:13,480 Speaker 3: of the advancements we've made in research that patients twenty 516 00:32:13,560 --> 00:32:17,479 Speaker 3: years ago didn't have access to Bible artists because they 517 00:32:17,560 --> 00:32:19,560 Speaker 3: might not have been used as part of treatments. But 518 00:32:19,800 --> 00:32:21,680 Speaker 3: it's why it's so important now we have this. 519 00:32:21,960 --> 00:32:23,640 Speaker 2: Oh absolutely the reason. 520 00:32:23,760 --> 00:32:27,239 Speaker 8: The only reason it's like that's the thing is like 521 00:32:27,360 --> 00:32:29,880 Speaker 8: she you know, this was in nineteen ninety nine and 522 00:32:30,360 --> 00:32:34,120 Speaker 8: now in twenty twenty six, like the people don't. 523 00:32:33,920 --> 00:32:37,480 Speaker 7: Have access to this, and like, if they don't. 524 00:32:37,280 --> 00:32:39,080 Speaker 8: Have access to it, we might as well be in 525 00:32:39,160 --> 00:32:41,400 Speaker 8: nineteen ninety nine, like it might as well not exist. 526 00:32:42,080 --> 00:32:45,240 Speaker 2: So the reason I reason I say that I that 527 00:32:45,320 --> 00:32:48,120 Speaker 2: I brought that up was I was I was a 528 00:32:48,160 --> 00:32:52,320 Speaker 2: little fearful that you might have been thinking, Gee, if 529 00:32:52,400 --> 00:32:54,920 Speaker 2: I this was around and I didn't know about it, 530 00:32:54,920 --> 00:32:59,080 Speaker 2: it didn't exist when your mom was struggling. So thank 531 00:32:59,120 --> 00:33:02,560 Speaker 2: god you called because it points out that it wasn't 532 00:33:02,560 --> 00:33:05,240 Speaker 2: available for your mom. It wasn't as if you folks 533 00:33:05,280 --> 00:33:09,240 Speaker 2: didn't spend enough time trying to figure something out. So 534 00:33:09,720 --> 00:33:12,960 Speaker 2: your mom didn't have this as it just didn't exist, 535 00:33:13,080 --> 00:33:16,200 Speaker 2: But it exists now and it should be available for people. Faith. 536 00:33:16,280 --> 00:33:17,880 Speaker 2: I got to keep rolling here because I got a 537 00:33:17,960 --> 00:33:20,000 Speaker 2: bunch of calls I want to get to. I so 538 00:33:20,120 --> 00:33:23,040 Speaker 2: appreciate you telling us the story. So sad to lose 539 00:33:23,040 --> 00:33:26,160 Speaker 2: your mom under those circumstances, And yeah. 540 00:33:26,040 --> 00:33:27,920 Speaker 7: So I guess you know, Mike, Like, what I'd love 541 00:33:27,960 --> 00:33:29,920 Speaker 7: to know is what can I do? Like do I 542 00:33:30,000 --> 00:33:31,120 Speaker 7: call my politician? 543 00:33:31,240 --> 00:33:32,360 Speaker 4: Like what do I say? 544 00:33:33,200 --> 00:33:33,280 Speaker 6: You? 545 00:33:33,480 --> 00:33:33,560 Speaker 3: Just? 546 00:33:33,640 --> 00:33:35,800 Speaker 2: What you do is you can go back and listen 547 00:33:35,800 --> 00:33:39,080 Speaker 2: to this hour on Nightside and demand. You can just 548 00:33:39,160 --> 00:33:42,600 Speaker 2: call them up. The number is six one, seven, seven 549 00:33:42,680 --> 00:33:45,720 Speaker 2: to two thousand. That's the main number at the State House. 550 00:33:46,160 --> 00:33:49,080 Speaker 2: What are the bill numbers, Mike, because this is kind 551 00:33:49,080 --> 00:33:51,040 Speaker 2: of the time when we need to tell people there's 552 00:33:51,080 --> 00:33:53,200 Speaker 2: a Senate version and a House version. Do you have 553 00:33:53,240 --> 00:33:54,320 Speaker 2: those numbers in front of you. 554 00:33:55,360 --> 00:33:55,600 Speaker 6: Yeah. 555 00:33:55,640 --> 00:33:59,040 Speaker 3: So it's House Bill four three three nine and Senate 556 00:33:59,080 --> 00:34:03,640 Speaker 3: Bill A zero nine, Okay, and they're both the bills 557 00:34:03,680 --> 00:34:06,800 Speaker 3: are the same language. Uh, just one was filed in 558 00:34:06,840 --> 00:34:08,680 Speaker 3: the Senate and one was filed in the House, which 559 00:34:08,719 --> 00:34:09,800 Speaker 3: is just in the weeds. 560 00:34:09,920 --> 00:34:13,760 Speaker 2: Okay, total problem. And so the Senate bill is simply 561 00:34:13,840 --> 00:34:16,759 Speaker 2: eight oh nine and the House bill is four three 562 00:34:17,000 --> 00:34:20,480 Speaker 2: three nine. Thank you, fath We'll give this number again 563 00:34:20,520 --> 00:34:22,200 Speaker 2: if you grab a piece of paper and pencil. We'll 564 00:34:22,239 --> 00:34:24,120 Speaker 2: give this before the end of the hour, I promise. 565 00:34:24,160 --> 00:34:26,920 Speaker 6: Okay, thank you so much. 566 00:34:26,800 --> 00:34:28,759 Speaker 2: Thank you, Fae, appreciate it. Let me go next to 567 00:34:28,800 --> 00:34:31,360 Speaker 2: Becca in South Boston. Beca, you're next on Nights Side 568 00:34:31,719 --> 00:34:33,680 Speaker 2: with my guest Mark Heimowitz. 569 00:34:35,680 --> 00:34:38,680 Speaker 9: Hi there, Thanks so much, Stan, and thank you Mark 570 00:34:38,760 --> 00:34:42,759 Speaker 9: for highlighting this work because you know, I know a 571 00:34:42,760 --> 00:34:46,880 Speaker 9: lot of people who have gone through unnecessary cancer treatments 572 00:34:46,920 --> 00:34:50,319 Speaker 9: and then have lost their lives because they did not 573 00:34:50,440 --> 00:34:54,279 Speaker 9: receive effective and timely treatment. So this means a lot. 574 00:34:55,239 --> 00:34:58,319 Speaker 9: I guess my question for you is. 575 00:34:57,400 --> 00:34:59,640 Speaker 4: It, who else are you working with on this? 576 00:34:59,680 --> 00:35:02,920 Speaker 9: Because I know I've heard that this type of testing, 577 00:35:03,040 --> 00:35:09,040 Speaker 9: this general like blood testing, can be applicable to other diseases. 578 00:35:10,440 --> 00:35:14,200 Speaker 9: And I'm curious if you dies of the American Cancer 579 00:35:14,239 --> 00:35:18,319 Speaker 9: Society are doing this, you know, alone, if you've got 580 00:35:18,320 --> 00:35:20,640 Speaker 9: other partners. 581 00:35:19,239 --> 00:35:22,879 Speaker 2: Well a lot of people, Sure, go ahead, mark who else? 582 00:35:23,160 --> 00:35:27,600 Speaker 2: Who else might what other diseases victims of this benefit? 583 00:35:28,719 --> 00:35:33,720 Speaker 3: Yeah, So biomarket testing, decision medicine, it's it's it's used 584 00:35:34,200 --> 00:35:37,279 Speaker 3: a lot, and probably more so in cancer. But there 585 00:35:37,320 --> 00:35:41,439 Speaker 3: are several diseases that biomarker testing is used for either 586 00:35:41,480 --> 00:35:48,840 Speaker 3: diagnosis or treatment. Arthritis als several rare diseases which you 587 00:35:49,840 --> 00:35:54,719 Speaker 3: are often very difficult to diagnose, but in more and 588 00:35:54,760 --> 00:35:57,600 Speaker 3: more cases now they can use biomarker testing to diagnose 589 00:35:57,640 --> 00:36:01,320 Speaker 3: them and then sometimes guide treatment plans. And it's growing. 590 00:36:01,360 --> 00:36:04,560 Speaker 3: It's kind of the future of where treating many illnesses are. 591 00:36:07,239 --> 00:36:09,719 Speaker 3: There was just a couple of years ago a biomarker 592 00:36:10,120 --> 00:36:13,240 Speaker 3: was discovered through research for the Michael J. Fox funded 593 00:36:13,280 --> 00:36:16,239 Speaker 3: by the Michael J. Fox Foundation to discover the biomarker 594 00:36:16,680 --> 00:36:20,680 Speaker 3: for Parkinson's disease. So once they have that research can 595 00:36:20,960 --> 00:36:26,839 Speaker 3: researchers can start looking to find treatments based off of 596 00:36:26,360 --> 00:36:29,800 Speaker 3: the mutation the biomarker that they found. And you know, 597 00:36:30,360 --> 00:36:34,440 Speaker 3: it might take a few years, ten years, but finding 598 00:36:34,480 --> 00:36:39,400 Speaker 3: that biomarker will help get us to treatments across many diseases. 599 00:36:40,000 --> 00:36:43,000 Speaker 2: Becky, great question. I've got one more call who I'd 600 00:36:43,040 --> 00:36:46,160 Speaker 2: like to accommodate, and I will give the state House 601 00:36:46,280 --> 00:36:49,400 Speaker 2: number for everybody to jot down and make a call tomorrow. 602 00:36:49,440 --> 00:36:50,280 Speaker 2: It's very simple. 603 00:36:50,280 --> 00:36:52,680 Speaker 9: Thank you, Becca, thank you, You're. 604 00:36:52,560 --> 00:36:54,719 Speaker 2: Welcome, and go to Ron and Newton. Ronnie, you're at 605 00:36:54,719 --> 00:36:56,359 Speaker 2: the end of the line here, but I got you in. 606 00:36:56,440 --> 00:36:57,320 Speaker 2: Go right ahead. Ron. 607 00:36:57,840 --> 00:37:02,000 Speaker 6: Okay, great, Thank you very much. Mark. I am wondering, 608 00:37:03,520 --> 00:37:09,600 Speaker 6: just to add on to the previous call, the sensitivity 609 00:37:10,080 --> 00:37:15,840 Speaker 6: and specificity for human papolomavirus, which ultimately can cause cancer, 610 00:37:16,560 --> 00:37:21,239 Speaker 6: is one hundred. There's zero false positives right now, so 611 00:37:21,320 --> 00:37:25,799 Speaker 6: it's a very cost effective tests from that standpoint. The 612 00:37:25,880 --> 00:37:30,080 Speaker 6: other thing is that we have such expertise at the 613 00:37:30,160 --> 00:37:33,360 Speaker 6: Harvard School of Public Health in terms of pharmacal economics 614 00:37:33,440 --> 00:37:37,320 Speaker 6: and pharmical genomics. We had that back in the early 615 00:37:37,360 --> 00:37:43,680 Speaker 6: two thousands. It's so the question I have, I suppose, 616 00:37:44,040 --> 00:37:52,920 Speaker 6: is are any of those experts in pharmacoeconomics or pharmical 617 00:37:52,960 --> 00:37:54,920 Speaker 6: genomics on the team. 618 00:37:55,280 --> 00:37:57,319 Speaker 2: Okay, we got to get a quick answer here, Mark, 619 00:37:57,440 --> 00:37:59,319 Speaker 2: unfortunately getting flat out of time. 620 00:38:01,480 --> 00:38:04,959 Speaker 3: Yeah, you know, we work with with researchers and doctors 621 00:38:07,000 --> 00:38:13,040 Speaker 3: across the board, and you know where I'm sure they've 622 00:38:13,040 --> 00:38:15,600 Speaker 3: been involved in researching and even development of some of 623 00:38:15,640 --> 00:38:16,520 Speaker 3: these treatments. 624 00:38:18,280 --> 00:38:21,560 Speaker 2: All right, you raised a great question on Unfortunately I'm 625 00:38:21,640 --> 00:38:24,759 Speaker 2: so tight on time here, I gotta gotta turn and 626 00:38:24,840 --> 00:38:26,919 Speaker 2: at least give out the number one more time. Thank 627 00:38:26,960 --> 00:38:30,320 Speaker 2: you so much. Ron As all much runs a medical background, 628 00:38:30,360 --> 00:38:32,880 Speaker 2: and that's why his questions are so good. Okay, the 629 00:38:32,960 --> 00:38:36,759 Speaker 2: two pieces of legislation, they're very identical. But one is 630 00:38:36,800 --> 00:38:38,960 Speaker 2: in the Senate, so it starts with an S eight 631 00:38:38,960 --> 00:38:41,560 Speaker 2: oh nine, and the other is in the House, so 632 00:38:41,640 --> 00:38:45,719 Speaker 2: it starts within H four to three three nine. You 633 00:38:45,760 --> 00:38:49,279 Speaker 2: can also just say the Biomarker Bill in either the 634 00:38:49,320 --> 00:38:52,920 Speaker 2: Senate or the House. Now, the main number at the 635 00:38:52,960 --> 00:38:57,440 Speaker 2: State House is really direct simple six seven seven two 636 00:38:57,560 --> 00:39:00,440 Speaker 2: two two thousand. You will get an operator. All you 637 00:39:00,480 --> 00:39:03,719 Speaker 2: have to do is tell the operator what community you 638 00:39:03,800 --> 00:39:06,239 Speaker 2: live in and they will be able to guide you 639 00:39:06,320 --> 00:39:08,040 Speaker 2: if you don't know the name of your state Rep 640 00:39:08,160 --> 00:39:10,800 Speaker 2: or your state senator. It's as simple. It's as simple 641 00:39:10,800 --> 00:39:15,320 Speaker 2: as that. Markheimowitz, thank you so much. I wish you 642 00:39:15,440 --> 00:39:20,600 Speaker 2: best of luck. Tomorrow eleven o'clock. The main staircase at 643 00:39:20,600 --> 00:39:23,280 Speaker 2: the State House on the second floor, easy to find. 644 00:39:23,600 --> 00:39:27,200 Speaker 2: Public is invited, you can you can meet people, see 645 00:39:27,200 --> 00:39:29,320 Speaker 2: people and walk around and meet your state reps. And 646 00:39:29,360 --> 00:39:31,720 Speaker 2: if you see your state rep this weekend at the diner, 647 00:39:32,040 --> 00:39:35,879 Speaker 2: tell them this should be a priority. Simple as that. Mark, 648 00:39:35,960 --> 00:39:38,399 Speaker 2: thank you so much for doing this tonight. I hope 649 00:39:38,400 --> 00:39:40,400 Speaker 2: it's going to help you a little bit tomorrow and 650 00:39:40,520 --> 00:39:43,000 Speaker 2: ultimately push this help push this over the line. 651 00:39:44,239 --> 00:39:46,319 Speaker 3: Thank you so much for helping get the word out. 652 00:39:46,360 --> 00:39:48,640 Speaker 3: And if folks want more information, they can also visit 653 00:39:49,000 --> 00:39:53,640 Speaker 3: our website at fight cancer dot org slash slash Massachusetts. 654 00:39:54,040 --> 00:39:55,360 Speaker 3: Thanks so much, Dad, I appreciate it. 655 00:39:55,400 --> 00:39:59,839 Speaker 2: Fight cancer dot org slash Massachusetts a noble goal. Mark, 656 00:40:00,120 --> 00:40:02,319 Speaker 2: keep us posted, okay, We'll be more than happy to 657 00:40:02,360 --> 00:40:05,000 Speaker 2: do something. If this gets critical and we gotta give 658 00:40:05,000 --> 00:40:07,080 Speaker 2: it another little shove to get it over the finish line. 659 00:40:07,120 --> 00:40:10,279 Speaker 3: Fair enough, fair enough, and hopefully we'll have you there 660 00:40:10,280 --> 00:40:11,560 Speaker 3: when the bill assigned it to. 661 00:40:11,560 --> 00:40:16,520 Speaker 2: Law sounds great. Markaimovich of the Witch vis of the 662 00:40:16,560 --> 00:40:21,040 Speaker 2: American Cancer Society Cancer Action Network. Once again, Mark, appreciate 663 00:40:21,040 --> 00:40:23,239 Speaker 2: it very much. We get back. We're gonna talk about 664 00:40:23,280 --> 00:40:26,400 Speaker 2: Hiawatha Bray or the Boston Globe, about those big lawsuits 665 00:40:26,400 --> 00:40:28,000 Speaker 2: that have come down in the last couple of days 666 00:40:28,440 --> 00:40:31,880 Speaker 2: that are going to cost some of the meta and 667 00:40:32,840 --> 00:40:35,720 Speaker 2: Facebook and YouTube a lot of money. We'll explain