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Health Disparities

October 05, 2020
  • 00:00Support for Yale Cancer Answers comes from
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  • 00:13Welcome to Yale Cancer
  • 00:15Answers with your host
  • 00:16Doctor Anees Chagpar.
  • 00:18Yale Cancer Answers features the
  • 00:20latest information on cancer care by
  • 00:22welcoming oncologists and specialists
  • 00:23who are on the forefront of the
  • 00:26battle to fight cancer. This week,
  • 00:27it's a conversation about health
  • 00:29disparities in cancer with
  • 00:31doctor Kim Blenman.
  • 00:32Dr. Blenman is an associate research
  • 00:34scientist in medical oncology
  • 00:36at the Yale School of Medicine
  • 00:38where Doctor Chagpar is a
  • 00:40professor of surgical oncology.
  • 00:42Maybe we can start off by you telling
  • 00:45us a little bit more about your research
  • 00:48and what exactly it is that you've been
  • 00:51doing.
  • 00:53I'm an immunologist and clinical chemists with expertise in drug
  • 00:55discovery and clinical development and
  • 00:57in aspects of pathology as you mentioned
  • 01:00I am in the Yale Department of
  • 01:02internal medicine, section of medical
  • 01:04oncology and Yale Cancer Center.
  • 01:06Briefly, I study the immune system of
  • 01:08patients to try to understand how the
  • 01:11immune system is involved in their disease
  • 01:13and their responses to therapy treatments.
  • 01:16I have done research in Melanoma
  • 01:17and I am currently working in breast
  • 01:20cancer as part of the breast medical
  • 01:22oncology translational
  • 01:24research group.
  • 01:26Tell us some of the studies that you've been
  • 01:28doing in breast cancer looking
  • 01:30at the immune system.
  • 01:32Our work is primarily conducted
  • 01:34through clinical trials.
  • 01:35As I mentioned, our goals are to
  • 01:37really try to identify components
  • 01:38or mechanisms of the immune system that
  • 01:41will either help patients to respond
  • 01:43or respond better to therapy or help them
  • 01:46to reduce the therapy.
  • 01:49The way that we do this is
  • 01:52that we look at both genes and proteins
  • 01:56of the immune system and of the tumor
  • 01:58to accomplish our goals we use
  • 02:00many platforms,
  • 02:03research platforms such as next generation
  • 02:05sequencing to identify genes in RNA and DNA.
  • 02:08And we also use Histology to
  • 02:10identify proteins and different
  • 02:12immune and tumor cell types.
  • 02:14And with that being said,
  • 02:19my research is really
  • 02:20interested in looking at many,
  • 02:22mostly biological factors.
  • 02:24As I said,
  • 02:25they are responsible for the disparities
  • 02:27that we have in disease and therapy,
  • 02:30and I am currently working on
  • 02:32triple negative breast cancer.
  • 02:35You noted cancer
  • 02:37accounts for approximately 10
  • 02:39to 15% of all breast cancers.
  • 02:40This subtype of breast
  • 02:42cancer is estrogen receptor
  • 02:44negative progesterone receptor negative,
  • 02:46and HER 2 negative in regards to the
  • 02:49biomarkers that we use to classify the
  • 02:52type of breast cancer
  • 02:53in order to appropriately treat the cancer,
  • 02:56it's often more aggressive,
  • 02:58meaning that it grows and spreads fast,
  • 03:00and so it tends to occur
  • 03:03more often in younger women,
  • 03:05and those were the BRCA gene mutations,
  • 03:08so triple negative breast cancers have
  • 03:10poorer prognosis than other subtypes,
  • 03:12partially because treatment
  • 03:13advances have lagged behind
  • 03:15other breast cancers,
  • 03:16but although treatment options are more
  • 03:18limited than the other breast cancers,
  • 03:21there are still several offices
  • 03:23available to these patients.
  • 03:25And these individuals are treated
  • 03:27with some combinations of surgery,
  • 03:29radiation therapy or chemotherapy.
  • 03:30And right now I'm working on two
  • 03:33clinical studies and one study is
  • 03:35a retrospective evaluation of genes
  • 03:37and proteins from Histology tissue.
  • 03:39From the tumor page,
  • 03:40two more patients with these triple
  • 03:43negative breast cancers to try to
  • 03:45identify immune components or mechanisms
  • 03:47that may be responsible
  • 03:49for the variations that we see in
  • 03:52different racial and ethnic groups
  • 03:54before the patients are treated.
  • 03:56And then the other study is an ongoing
  • 03:58clinical trial that is evaluating
  • 04:00the benefit of giving our triple
  • 04:02negative breast cancer patients
  • 04:04anti PDL one immunotherapy with chemotherapy
  • 04:06before they're taken to surgery.
  • 04:09Those both sound like really
  • 04:12interesting studies and I want to
  • 04:15talk about each one of them in turn.
  • 04:18So the first one, the retrospective study
  • 04:21where you're looking at kind of the immune
  • 04:24factors in these cancers retrospectively.
  • 04:26So these are cancers that have already
  • 04:29been taken out of patients and you're
  • 04:32looking at immune factors in these cancers.
  • 04:35Now I understand that triple
  • 04:37negative cancers perhaps more than
  • 04:39other breast cancers actually
  • 04:40are immunogenic, they tend to have a
  • 04:42lot of infiltrating cells in them,
  • 04:45is that right?
  • 04:46Is that what you're looking at?
  • 04:50or are you looking at other factors as well?
  • 04:53That's absolutely right.
  • 04:54And actually
  • 04:54we're looking at all the
  • 04:56above and
  • 04:57actually we're doing as I said,
  • 05:00looking at different populations
  • 05:02of people within that particular space,
  • 05:04and the reason is because the
  • 05:06percentage of triple negative breast
  • 05:07cancers among the total breast cancers
  • 05:09diagnosed in non Hispanic whites.
  • 05:14Hispanics, American Indians or
  • 05:17Alaska Natives is between 10 and 20%.
  • 05:19I'm sorry 10 to 12% and non
  • 05:22Hispanic Blacks is 21%,
  • 05:24and so we're trying to understand why that
  • 05:27difference exists and more of the biology,
  • 05:29more of the biological questions
  • 05:32and so we're looking at the immune
  • 05:35system to see if there are different
  • 05:38immune players in terms of the amount of
  • 05:41infiltration that we see between these
  • 05:44different populations of people
  • 05:45or the type of inflation.
  • 05:47What type of cells are being
  • 05:50infiltrated in these patients?
  • 05:51And so we're doing that by
  • 05:54looking at the Histology.
  • 05:56Taking the samples of the tumor doing
  • 05:59next generation sequencing on those,
  • 06:02look at the genes and then looking
  • 06:04at different types of immune
  • 06:07cells from the Histology tissue itself,
  • 06:10as well as just using our standard
  • 06:13hematoxylin eosin to look at the
  • 06:17actual global tumor infiltrating lymphocyte
  • 06:20into these populations
  • 06:21sorry into these patients samples.
  • 06:24I want to make sure that I understood
  • 06:26because I mean it sounds like such a cool
  • 06:30project with so much there to unpack.
  • 06:32And maybe you're looking
  • 06:34at all of these questions.
  • 06:35But the first thing that it sounds
  • 06:38like you're doing is really looking at
  • 06:40these cancers to see whether
  • 06:43various immune pathways are turned on
  • 06:45or turned off in the cancer themselves,
  • 06:47whether the they have more or less
  • 06:50infiltration with the immune
  • 06:52system in these cells.
  • 06:54So do you find that there are biologic
  • 06:57differences in triple negative breast
  • 07:00cancer between African Americans,
  • 07:03and say, Caucasians?
  • 07:04And do you think that really
  • 07:07explains why African Americans
  • 07:09tend to have more triple negative
  • 07:12breast cancers than other non
  • 07:15African American races?
  • 07:17So this is one of
  • 07:19the things that we actually are
  • 07:22trying to tease out with this particular
  • 07:25study and all the data is not back yet.
  • 07:27And of course there are other factors as
  • 07:29well that contributes to those differences,
  • 07:32but as I said,
  • 07:34we're really trying to
  • 07:35focus on these differences in the
  • 07:37system that we have seen initially,
  • 07:39and as we're putting more patients on
  • 07:41these studies and look at more things,
  • 07:44we're trying to see if
  • 07:48that gives us any reason to
  • 07:50believe that there are different,
  • 07:53as I said, immune cell populations
  • 07:55that are being introduced that
  • 07:57are different between those two
  • 07:59groups and as well as other groups.
  • 08:02But also if there's maybe a difference
  • 08:05in the amount of those immune
  • 08:07cells that are being introduced,
  • 08:09and so we're still
  • 08:12evaluating the data,
  • 08:13but hopefully that'll give us some
  • 08:15insight if that's indeed true.
  • 08:19Because that would mean that
  • 08:21we may need to
  • 08:24think about how we treat the
  • 08:26patients differently, right?
  • 08:27And it may give you
  • 08:29some insight into potentially why
  • 08:31certain people get triple negative
  • 08:34breast cancers more than others.
  • 08:36Maybe some populations of people
  • 08:38automatically have a more robust immune
  • 08:40response to cancer cells as they are
  • 08:43initially beginning such that they
  • 08:45don't develop into full blown tumors,
  • 08:47and so you may be able to see differences.
  • 08:53Are you looking also at the immune
  • 08:55factors versus stage at presentation?
  • 08:58Because that too might play
  • 09:00into that whole story, right?
  • 09:02Correct, and so
  • 09:04we're looking at
  • 09:06that as well.
  • 09:14That could definitely play a difference
  • 09:16in what makeup looks
  • 09:19like at the end of the day?
  • 09:21Because we want to make sure
  • 09:24that we are comparing
  • 09:26apples to apples.
  • 09:30And so for this part of the study,
  • 09:33you're actually looking
  • 09:35at the tumors DNA, right?
  • 09:37You're taking these tumor
  • 09:38sections and doing next generation
  • 09:40sequencing on the tumor and the micro
  • 09:43environment surrounding the tumor,
  • 09:45has anybody really looked at the immune
  • 09:47system of different racial groups to
  • 09:50see whether there are differences
  • 09:52in immune cell production between
  • 09:55different races that might
  • 09:58give you some insight into
  • 10:00how people mount immune responses.
  • 10:02Whether that's the same for everybody,
  • 10:04or whether there are nuances
  • 10:05and so actually we
  • 10:07have some
  • 10:09evidence to that.
  • 10:12As you think about things like autoimmune diseases
  • 10:14autoimmune diseases tend to be
  • 10:16more prevalent in certain
  • 10:18populations,
  • 10:23and they tend to have as you
  • 10:25look at the immune system,
  • 10:27the immune systems tends
  • 10:28to be very overactive,
  • 10:29and so these are things that can
  • 10:31give us clues that maybe
  • 10:34in different populations
  • 10:35we may need to think differently
  • 10:37about how we approach this,
  • 10:39and so there are studies that have
  • 10:40been done in different fields,
  • 10:42and I think that we can utilize that
  • 10:44to try to
  • 10:46understand how this is applicable to
  • 10:49cancer as well,
  • 10:50and this is actually one of
  • 10:52the main goals of this
  • 10:53particular
  • 10:54study that we're doing is to
  • 10:56try to tease that out as well,
  • 10:58and hopefully we can expand on that
  • 11:00in terms of digging a bit
  • 11:02more deeper into them,
  • 11:03these different
  • 11:05patient populations.
  • 11:05So what I'd like to
  • 11:07look at,
  • 11:09although this particular site is looking at,
  • 11:11individuals of African descent,
  • 11:12individuals of Caucasian descent,
  • 11:13I would also like to expand
  • 11:15that to individuals of Asian
  • 11:17descent as well and
  • 11:18other populations because
  • 11:20I believe that that's actually very
  • 11:22important for us to be represented
  • 11:24in order for
  • 11:26us to understand exactly what's
  • 11:28going on with cancers globally.
  • 11:31And the other thing that
  • 11:33you had mentioned just in passing was
  • 11:36looking at different types of immune cells,
  • 11:38so we often
  • 11:40when we've been on this show,
  • 11:42have talked about these
  • 11:44tumor infiltrating lymphocytes.
  • 11:45And we talk about T cells,
  • 11:47but there are other immune factors
  • 11:50and other immune cells as well.
  • 11:52Do we have any sense of
  • 11:54how these immune cells vary in
  • 11:57terms of their response to tumors?
  • 12:00Either different types of
  • 12:01tumors or to the same tumor,
  • 12:03but in different people?
  • 12:05Actually that's a really
  • 12:07great question, and I've done some
  • 12:09work in this in breast cancer itself,
  • 12:12and so I'd like to share a little
  • 12:14bit about a study that was recently
  • 12:17published looking at breast
  • 12:19cancers in predicting disease.
  • 12:21I'm sorry B cells in predicting
  • 12:23disease free survival in breast
  • 12:25cancer patients and just as
  • 12:27a little bit of background,
  • 12:28metastasis is a frequent
  • 12:31early event in many cancers,
  • 12:32and so in breast cancer,
  • 12:34lymph node invasion is a key determinant in
  • 12:36prognosis and treatment.
  • 12:38So our previous studies have shown
  • 12:40that T cells and injured cells in the
  • 12:42tumor draining lymph nodes may be
  • 12:44altered in some breast cancer patients
  • 12:46and can predict clinical outcome.
  • 12:48But B cells are another major immune
  • 12:50cell population for their role
  • 12:52in solid cancers and is not well studied.
  • 12:55So B cells isolated from
  • 12:57tumor draining lymph nodes,
  • 12:58specifically Sentinel lymph nodes,
  • 13:00which are the first set of lymph nodes
  • 13:02that the tumor drains into
  • 13:04can recognize cancer associated
  • 13:05antigens and are capable of producing
  • 13:08antibodies against those antigens,
  • 13:10and so in our study that
  • 13:12we recently published
  • 13:13we looked at the cells,
  • 13:15and since all lymph nodes in
  • 13:18breast cancer patients,
  • 13:19we found that patients with higher
  • 13:21numbers of these had longer
  • 13:23disease free survival overall as
  • 13:25well as in those patients with
  • 13:28triple negative breast cancer
  • 13:29that had actually good prognosis.
  • 13:32Interestingly this can
  • 13:34be seen in Melanoma patients and we
  • 13:36recently also published this and
  • 13:39we have found higher numbers
  • 13:41correspond
  • 13:43to longer progression free survival
  • 13:45in patients with metastatic Melanoma
  • 13:47treated with anti PDL1 immunotherapy.
  • 13:51And so have we found a difference in
  • 13:54terms of the number of B cells that are
  • 13:57in tumors of people of African American
  • 14:01descent versus Caucasians. So this
  • 14:03is one of the things that we're
  • 14:06looking at and that
  • 14:09data is still to be evaluated.
  • 14:11Certainly,
  • 14:13if it's true that B cells do
  • 14:16predict differences in survival,
  • 14:17it sounds like it is a relatively
  • 14:20simple prognostic factor.
  • 14:25And it could give people an idea of
  • 14:27how this biology is going to play out,
  • 14:30particularly as it interfaces with
  • 14:32the immune system.
  • 14:34You're absolutely right, and
  • 14:36the other thing that I'd like to
  • 14:38point out too is that
  • 14:40the immune system is called a
  • 14:42system for a very specific reason.
  • 14:44It works as a system,
  • 14:45so B cells do not work in isolation.
  • 14:47T cells do not work in isolation,
  • 14:49and so all these things require
  • 14:53to be working together
  • 14:55and so this is one of the things
  • 14:57that we need to think about when we
  • 15:00make these prognostics and predict
  • 15:02the tools is to consider all
  • 15:04these different immune systems
  • 15:05and put them together to make
  • 15:07choices that we move forward.
  • 15:09We're going to pick up on
  • 15:12that conversation right after we take
  • 15:13a short break for medical minute.
  • 15:15Please stay tuned to learn more about
  • 15:18health disparities and cancer and the
  • 15:20immune system with my guest doctor Kim Blenman.
  • 15:22Support comes from AstraZeneca,
  • 15:24working side by side with
  • 15:27leading scientists to better
  • 15:29understand how complex data can be
  • 15:34converted into
  • 15:35innovative treatments. More information at astrazeneca-us.com.
  • 15:38This is a medical minute
  • 15:40about colorectal cancer.
  • 15:42When detected early,
  • 15:43colorectal cancer is easily treated
  • 15:45and highly curable and as a result,
  • 15:48it's recommended that men and women
  • 15:50over the age of 50 have regular
  • 15:53colonoscopies to screen for the disease.
  • 15:56Tumor gene analysis has helped improve
  • 15:58management of colorectal cancer
  • 16:00by identifying the patients most
  • 16:02likely to benefit from chemotherapy
  • 16:04and newer targeted agents,
  • 16:05resulting in more patient
  • 16:07specific treatments.
  • 16:08More information is available
  • 16:10at yalecancercenter.org.
  • 16:11You're listening to Connecticut public radio.
  • 16:16Welcome
  • 16:16back to Yale Cancer Answers.
  • 16:18This is doctor Anees Chagpar and I'm
  • 16:21joined tonight by my guest doctor Kim Blenman
  • 16:25and we're talking about health disparities
  • 16:27in cancer and right before the break
  • 16:30Kim, you were talking to us
  • 16:32about some of the studies that
  • 16:35you're doing in breast cancer,
  • 16:37and specifically one study in triple
  • 16:39negative breast cancers where you're
  • 16:42looking retrospectively at the
  • 16:43various immune systems and immune
  • 16:46responses that are mounted by patients
  • 16:48with triple negative breast cancer and
  • 16:51you kind of left us hanging
  • 16:54in terms of the details of whether this
  • 16:58is really different between African
  • 17:01Americans and Caucasian patients.
  • 17:03We know, for example,
  • 17:04that in triple negative breast cancer
  • 17:07it seems to be more prevalent in African
  • 17:10Americans than in Caucasian patients.
  • 17:13Can you shed some more light on how
  • 17:16different cancers affect different
  • 17:18racial groups differently?
  • 17:21Yes, and as I mentioned,
  • 17:24my research interest is in the
  • 17:26biological factors responsible for
  • 17:28disparities and disease and their responses.
  • 17:31So in that context,
  • 17:33Melanoma is a great example.
  • 17:35So Melanoma is a skin cancer that
  • 17:38occurs most commonly when the DNA in
  • 17:40melanocytes is damaged by UV rays.
  • 17:43That is sun exposure.
  • 17:44So melanocytes are the
  • 17:46cells that produce melanin,
  • 17:48which gives skin its color.
  • 17:51Eumelanin is a type of melanin that
  • 17:54is responsible for darkening the skin
  • 17:56and it has the ability to protect the
  • 18:00skin from UV damage so when individuals
  • 18:03tan as a result of exposure to the sun,
  • 18:06youe melanin is responsible for the
  • 18:09visible color that you see as the tan so
  • 18:12individuals with naturally darker skin,
  • 18:15have more eumelanin and are therefore
  • 18:17at lower risk for developing
  • 18:19UV induced skin cancer.
  • 18:22So for decades,
  • 18:23the messages that were shared in general
  • 18:26and in communities of people of color
  • 18:29with naturally darker skin was that
  • 18:31people of color do not get Melanoma.
  • 18:34However,
  • 18:34today we know that the most common form
  • 18:37of Melanoma found in individuals with
  • 18:39naturally darker skin is acral Melanoma,
  • 18:42which is often found under nails.
  • 18:46On the palms of hands and the soles of feet,
  • 18:49and disease of face.
  • 18:52The musician Bob Marley from
  • 18:54Jamaica died of acral Melanoma.
  • 18:55And so this is a good
  • 18:58example of why it's
  • 19:01important that we actually take into
  • 19:03account these biological factors and
  • 19:05try to find or look for things that
  • 19:08may give us some clues as to why
  • 19:12things are different that are not
  • 19:15a part of social determinants of Health
  • 19:17and so this is how we really got
  • 19:20interested in looking into these
  • 19:25different factors for
  • 19:26these different cancers.
  • 19:28That makes sense in in Melanoma,
  • 19:31in breast cancer we were
  • 19:34talking about before the break
  • 19:36it's a little bit more
  • 19:38tricky in the sense that there doesn't
  • 19:41seem to be a particular factor.
  • 19:44Something like eumelanin,
  • 19:45which would be different between African
  • 19:48Americans and Caucasian patients,
  • 19:50which I guess is how you
  • 19:52got into thinking about
  • 19:55why is it that triple negative
  • 19:58breast cancer is more common in
  • 20:01African American patients
  • 20:03and could this have something
  • 20:06to do with their immune system?
  • 20:09Because certainly we know that triple
  • 20:12negative breast cancers are immunogenic.
  • 20:16Exactly, and actually,
  • 20:16that's the link with
  • 20:18the acral Melanoma as well.
  • 20:19So the thing about acral
  • 20:21Melanoma is that it actually has a
  • 20:23lot of infiltrating immune cells.
  • 20:25and are a little bit less
  • 20:28involved in individuals of Caucasian descent,
  • 20:30and so
  • 20:32you're thinking about, okay
  • 20:34let's look at the immune cells.
  • 20:36You know there's something
  • 20:37different about the immune cells.
  • 20:39and the types of cells also infiltrated
  • 20:41that's making these differences that we see.
  • 20:45And I suppose you did
  • 20:48mention before the break about
  • 20:50your study looking at B cells,
  • 20:52and I believe you mentioned that you
  • 20:54found that B cells were tied to prognosis
  • 20:57in both Melanoma and in breast cancer,
  • 21:00correct?
  • 21:03I guess that leads us to the next study
  • 21:07that you had mentioned before the break,
  • 21:10which is a prospective trial
  • 21:12looking at immunotherapy because,
  • 21:14as we've talked about on the show previously,
  • 21:18and as many of our listeners may know,
  • 21:21immunotherapy actually has
  • 21:23really taken hold in Melanoma
  • 21:25and is just starting to get evaluated
  • 21:28in breast cancer and specifically in
  • 21:31triple negative breast cancer, so
  • 21:33maybe you can tell us a little
  • 21:34bit more about your work there.
  • 21:40In the last five to 10 years or so
  • 21:42you've mentioned,
  • 21:44we've started to really recognize
  • 21:45that the immune system has a role in
  • 21:47how cancer patients will respond to
  • 21:49many of the therapies that we give,
  • 21:51including chemotherapy.
  • 21:52So to take advantage of that fact,
  • 21:54we are, as you mentioned,
  • 21:55starting to identify and use therapies
  • 21:57that directly impact the immune system
  • 21:59alone or in combination with chemotherapy.
  • 22:01So, for example,
  • 22:01we have an ongoing study that
  • 22:04is evaluating the benefit of giving our
  • 22:06triple negative breast cancer patients
  • 22:08Anti PDL1 immunotherapy with
  • 22:10chemotherapy before they're taken
  • 22:12to surgery and the advantage of that
  • 22:15is that we're trying to understand
  • 22:17whether or not this
  • 22:20particular regiment of giving that
  • 22:22immunotherapy could help boost
  • 22:24the immune system's ability to
  • 22:27see the cancer or to break it down
  • 22:29so that the chemotherapy itself
  • 22:31can respond better to the cancer.
  • 22:33And, as I said,
  • 22:35the study is still ongoing,
  • 22:37but we are starting to see some
  • 22:40very interesting results that
  • 22:41have some positive benefit
  • 22:44for Anti PDL1.
  • 22:47Now how does
  • 22:49that immunotherapy work,
  • 22:51particularly for people who
  • 22:53have PD L1 or PDL or PD one
  • 22:58receptors or would it work
  • 23:00for any triple negative?
  • 23:02Actually this is
  • 23:05kind of interesting because we're
  • 23:07actually finding that we are getting
  • 23:10affected regardless of whether or
  • 23:12not the individuals have PD L1
  • 23:15as part of their tumor,
  • 23:17and so there are other things
  • 23:19going on there that are mediating
  • 23:21this response that we're still trying
  • 23:24to learn for this particular PD1
  • 23:26PD L1 Axis.
  • 23:29So it's certainly a really interesting
  • 23:31and novel thing to think about,
  • 23:34and I know many of our listeners are
  • 23:37always intrigued by immunotherapy.
  • 23:39It seems to be a really hot topic,
  • 23:43but when we think about immunotherapy,
  • 23:45one of the things that we always caution
  • 23:49patients about is the side effects,
  • 23:51which tend to be
  • 23:54side effects that are an exacerbation of
  • 23:58the immune system because essentially you
  • 24:01rev up your immune system or as you say,
  • 24:05you can make tumor cells more
  • 24:08susceptible to the immune system,
  • 24:10now have you noticed a difference
  • 24:13in terms of racial groups with
  • 24:16regards to those side effects?
  • 24:19Because you mentioned that there
  • 24:21is a racial difference in terms
  • 24:24of autoimmune diseases so
  • 24:26one would imagine that there might
  • 24:28be a difference in terms of the side
  • 24:31effects with immunotherapy as well.
  • 24:33Have you found
  • 24:34that so?
  • 24:37That's a great question and something that
  • 24:38we are actually evaluating now.
  • 24:40And so as I said,
  • 24:42the study is still ongoing,
  • 24:44so we don't have enough patients
  • 24:46collected yet in the different groups
  • 24:48to actually make any statements.
  • 24:51But this is actually something
  • 24:52that I am very interested in.
  • 24:55And is one of my
  • 24:57major goals of this study is
  • 24:59to try to tease out NOTE Confidence: 0.89420384
  • 25:02those potential differences that we see
  • 25:04between different populations of people,
  • 25:06but no, we don't
  • 25:08have that information yet,
  • 25:11but I suspect that we will be able to
  • 25:14see in these studies and other studies
  • 25:17that others are doing.
  • 25:18Do we know whether different
  • 25:20racial groups will respond
  • 25:22differently to immunotherapy?
  • 25:23For example, if patients have a
  • 25:26similar tumor in terms of their PDL1
  • 25:29status. The size of the tumor,
  • 25:32the B cells and the T cells that
  • 25:35are in the micro environment and
  • 25:38you give them immunotherapy.
  • 25:41Do we know whether,
  • 25:42just by fact of different racial groups,
  • 25:46they will Mount a different immune
  • 25:48response that will then result in
  • 25:51differences in terms of the effect?
  • 25:56So I think one of the first things
  • 25:59that we need to think about is
  • 26:02the individual and
  • 26:05for that purpose you know
  • 26:07the health of the individuals is
  • 26:09influenced by many interconnected
  • 26:11factors such as their individual biology,
  • 26:13their behavior,
  • 26:14environmental and physical influences.
  • 26:16The type of medical care that they're
  • 26:19getting and the social determinants
  • 26:20which are influenced by both the
  • 26:23socio economic and political factors.
  • 26:25And so we now know that each of
  • 26:27these factors can lead to the health
  • 26:30disparities that exist in cancer,
  • 26:32and so these are the things that we
  • 26:35actually need to consider when we
  • 26:37talk about potentially,
  • 26:39one population being
  • 26:41different than the other,
  • 26:43and so I think the individual health is
  • 26:46something that we should
  • 26:50consider versus the entire population
  • 26:53of that individual.
  • 26:55So with that being said,
  • 26:58it's going to be determinant on what
  • 27:00their biology is that individual
  • 27:02biology and how they are going
  • 27:04to respond to that individual therapy,
  • 27:06and so I don't want to generalize to an
  • 27:08entire population on that perspective,
  • 27:10but I think you know the more
  • 27:13pressing question for me is,
  • 27:15how can we overcome these
  • 27:17disparities that I just mentioned and for
  • 27:19me I think that we need to
  • 27:23do more inclusive research.
  • 27:25We need to recognize that as human
  • 27:27beings we are part of a collective that
  • 27:29is made up of different populations.
  • 27:31And then in order for us to move
  • 27:33forward in science and medicine,
  • 27:35we need to include all of our populations
  • 27:37in all of our research endeavors.
  • 27:39And this level of diversity is not only
  • 27:41required in the populations that we study,
  • 27:44but it also needs to be equally represented
  • 27:46in the faculty members that are
  • 27:47performing and or involved in these studies.
  • 27:50So again, representing the diversity
  • 27:51of our global population.
  • 27:52But again,
  • 27:54giving us some concept of the
  • 27:55individual as well.
  • 27:57Doctor Kim Blenman
  • 27:58is an associate research
  • 28:00scientist in medical oncology
  • 28:01at the Yale School of Medicine.
  • 28:04If you have questions,
  • 28:05the address is canceranswers@yale.edu
  • 28:07and past editions of the program
  • 28:09are available in audio and written
  • 28:11form at Yalecancercenter.org.
  • 28:12We hope you'll join us next week to
  • 28:15learn more about the fight against
  • 28:17cancer here on Connecticut public radio.