Skip to Main Content

Yale SPORE in Skin Cancer presents: Rational Combinatorial Approaches with Immune Checkpoint Blockade for the Treatment of Cancer

June 16, 2021

Yale SPORE in Skin Cancer presents: Rational Combinatorial Approaches with Immune Checkpoint Blockade for the Treatment of Cancer

 .
  • 00:00Daddy, thank you so much
  • 00:02for joining us today.
  • 00:04So for today's grand rounds,
  • 00:06I am thrilled to present our
  • 00:08speaker to Steve Hardy from the
  • 00:10Dana Farber Cancer Institute.
  • 00:12Runs the Melanoma program and he also runs
  • 00:15the immuno Oncology program up at the Farber.
  • 00:18He's a professor of medicine
  • 00:20and has an endowed chair.
  • 00:22He's the Sharon Crowley market.
  • 00:24Share in Melanoma.
  • 00:26I've known Steve for many years.
  • 00:29He's been on the faculty
  • 00:31at Dana Farber since 1995.
  • 00:33After finishing his
  • 00:34medical school at Cornell.
  • 00:35Great in his graduate education
  • 00:37between the University of
  • 00:39Pennsylvania and the Farber,
  • 00:40Steve has made major contributions
  • 00:42to the Melanoma field.
  • 00:44He's lead author or first author on
  • 00:46multiple publications in major journals
  • 00:48such as the New England Journal of Medicine,
  • 00:51Lancet, Lancet,
  • 00:52Onkologie, and the like.
  • 00:54He's made some similar
  • 00:55breakthroughs in clinical.
  • 00:57And care as well as in Preclinical Research.
  • 00:59He's pioneered two approaches
  • 01:00that I recall that have really
  • 01:02changed the landscape of what we're
  • 01:04studying and doing in Melanoma.
  • 01:06One is combination of angiogenic
  • 01:08therapies and immunotherapy,
  • 01:09and the other one is combinations
  • 01:10of GM CSF with with immunotherapy,
  • 01:12and I believe you'll be talking
  • 01:14at least about the letter.
  • 01:16He has a few other very novel gene
  • 01:19therapy approaches that he's using,
  • 01:20which I think he will be talking
  • 01:22to us about as well,
  • 01:24so we actually originally wanted
  • 01:26Steve to come down last June.
  • 01:28Marcus and I invited him as
  • 01:31part of the skins for.
  • 01:34Administrative core,
  • 01:34but unfortunately wasn't
  • 01:35able to come last June.
  • 01:37Glad to have him here today and
  • 01:39we look forward to seeing him in
  • 01:41person sometime in the near future.
  • 01:43So without further ado,
  • 01:44I'd like Steve to take the
  • 01:46screen over and take it away.
  • 01:48And if you have any questions for Steve,
  • 01:50please put them in the chat box.
  • 01:56But thank you very much, Harry,
  • 01:57for the very kind introduction.
  • 01:59And I do hope that we get
  • 02:02to see everybody very soon.
  • 02:04Let me just get. And if you can verify,
  • 02:08you can see slides and everything,
  • 02:10OK, yes, we're seeing it.
  • 02:11Well, great. Thanks.
  • 02:12And I do hope we can all
  • 02:14see each other again soon.
  • 02:16Everyone is doing well so it's a
  • 02:18pleasure to join you all today and I'm
  • 02:21going to be kind of talking a little
  • 02:23bit of leading up to some ways to
  • 02:25think about rational combinations of
  • 02:27combining with checkpoint blockade.
  • 02:28So as a clinical investigator,
  • 02:30think of of cancer therapeutics
  • 02:31and such that cancer and people
  • 02:33are present for a long time,
  • 02:35so there's an opportunity
  • 02:36for antigen recognition.
  • 02:37There may be slightly different than what
  • 02:39we see in the transplantable tumor models,
  • 02:42the transplantable tumors being
  • 02:43key to understanding mechanisms.
  • 02:44But we've also found in most more
  • 02:46recently that the translation into
  • 02:48into people may be challenging.
  • 02:50Some of the aspects really to
  • 02:52agonist targets and other things
  • 02:53in terms of the rate from ecology
  • 02:55is also fairly challenging,
  • 02:57so in the world in the world
  • 02:59we're living in the checkpoint
  • 03:00world that we're living in.
  • 03:02Why do anti tumor responses are not do
  • 03:05not happen in order to clear cancer,
  • 03:07so they've either never developed?
  • 03:09The immune cells are too few in
  • 03:11number or there are exhausted,
  • 03:13and this obviously the exhaustion
  • 03:14is very important within the
  • 03:16PD one we're living in,
  • 03:17they could physically be excluded
  • 03:19from the tumor or the antigen.
  • 03:21Presenting machinery is somehow disrupted
  • 03:22with engine loss or or the machine itself,
  • 03:25such as MSE loss,
  • 03:26which we're going to try to address.
  • 03:28Most of these over the next hour or so.
  • 03:32So in the beginning there was appealing
  • 03:34map antisocial foreign just to use
  • 03:36Melanoma as as the paradigm example.
  • 03:38Traditionally Melanoma would have about
  • 03:3911 months median survival for brain Mets,
  • 03:41six months or less an now we have
  • 03:44with hippie the 22% of patients
  • 03:46now having a long term survival
  • 03:48with over 10 years of follow up and
  • 03:50notice on the survival curves that
  • 03:52there's an inflection point or on
  • 03:54the two and after three year point
  • 03:56and then the flattening of the curve.
  • 03:58But we also interesting we see with
  • 04:00no volume app anti PD one this is the.
  • 04:03Going to combine data,
  • 04:05little bit of mixing apples and
  • 04:07oranges in terms of dose and schedule.
  • 04:09All previously treated patients
  • 04:10then now those patients,
  • 04:12about 35% are living long term with
  • 04:14no volume AB monotherapy and then
  • 04:16moving on to the most recent update of
  • 04:19the Checkmate 067 trial in Melanoma,
  • 04:21which was a phase three trial that
  • 04:24combine Knievel plus it be and
  • 04:26compared it to Epyx alone Evo.
  • 04:27Plus it be compared to niveau.
  • 04:29It was not designed.
  • 04:31The caveat here not designed to
  • 04:33compare Niveau.
  • 04:34Happy to Nivo but now with six years
  • 04:36of follow-up you again see this
  • 04:38inflection point around 2:00 and after
  • 04:40three years flattening of the curves
  • 04:42with needle plus Tippy, now 56 percent,
  • 04:4457% of patients to living a long
  • 04:46long term with the disease.
  • 04:48So so the question is,
  • 04:49with this kind of as the the new baseline,
  • 04:52how can we improve upon these results?
  • 04:55And we look at very important biomarker data,
  • 04:59so the the importance of CD
  • 05:018 and the invasive margin.
  • 05:03So it's the tumor stromal
  • 05:05interface and the proximity.
  • 05:07The closeness to the PD one PD
  • 05:10interaction is highly predictive of
  • 05:12responses to anti PD one therapy again
  • 05:15in Melanoma and also that PDL one
  • 05:18is a mark biomarker in now with the
  • 05:21numerous diseases that PD one is looked at.
  • 05:24PD1PD1 target therapies.
  • 05:25The back seat when expression
  • 05:27on immune infiltrating cells.
  • 05:29So the new cells themselves,
  • 05:31mostly macrophages,
  • 05:31are also predicted responses to hear
  • 05:34anti PDL one because it was a mad
  • 05:36in patients with lung cancer and now
  • 05:39other countries with kidney cancer.
  • 05:41So to briefly summarize other aspects
  • 05:43that could be applied to improving upon
  • 05:46those results quite a few years ago now,
  • 05:48Glenn Dranoff,
  • 05:49my longtime mentor and friend,
  • 05:51and I did some anti slip or anybody trials
  • 05:54looking specifically in patients who had.
  • 05:57Received a prior GMC based vaccine,
  • 05:58but notice pathologically when they received.
  • 06:00If you limit map that
  • 06:02there was this in panel,
  • 06:03a area central necrosis with the
  • 06:05room available to around the outside,
  • 06:07and that room available tumor was
  • 06:09heavily infiltrated with CD4CD8 CD 20s.
  • 06:10But we notice throughout the tumor
  • 06:12that there was an immune attack
  • 06:14of the vascular vessels feeding
  • 06:16the deposits depicted in panel F,
  • 06:17and that this these lymphocytes were
  • 06:19attacking the blood vessels when the
  • 06:21product will be in the center and
  • 06:23probably leading to this TNF like
  • 06:25effect that we virtualized in pathology.
  • 06:27And so it raises the question of the
  • 06:30combination as he was alluding to
  • 06:32of combining anti angiogenesis and
  • 06:33immune checkpoint in the importance
  • 06:36of hypoxemia.
  • 06:36If 1A making veg F that not only
  • 06:39involved into Genesis but Veg F
  • 06:41being a very potent suppression
  • 06:42of dentrix cell maturation.
  • 06:44Another important myeloid as important
  • 06:46suppressor cells that you might like.
  • 06:48My Lloyd Wright suppressor cells
  • 06:51also make important engineering
  • 06:52factors such as Veg F that lead
  • 06:55to also this suppressive feature
  • 06:56and whether there was a role for.
  • 06:58Andrew Genesis,
  • 06:59in terms of not just being blocked
  • 07:01for for blood vessel formation but
  • 07:04also its role in immune activation
  • 07:06and immune suppression.
  • 07:08So we looked into this further
  • 07:10summarizing some work from a few
  • 07:12years ago of combining simplified
  • 07:14paid with entry into Genesis based
  • 07:17on the vasculopathy that we saw.
  • 07:19I thought the pathologically the
  • 07:21role of veg F and decrease in
  • 07:23the Newcastle maturation work by
  • 07:25George Lucas and others.
  • 07:27Overcash Jenna natural.
  • 07:28Also had shown that blocking Veg
  • 07:30F and proved himself trafficking
  • 07:32across Endothelia and we worked with
  • 07:35Jed Walchak memorial looking at pre
  • 07:37treatment levels of Veg F which were
  • 07:39associated with the higher the bowls with
  • 07:41poor outcomes.
  • 07:42Both less responses and less reliable.
  • 07:44Again guilt by discussed by association.
  • 07:47Then Jeff may play a role with
  • 07:49the new checkpoint blockade.
  • 07:51So this is just kind of some summary of that.
  • 07:54Here's a pet scan of a patient on the top.
  • 07:57The CAT scan portion shows his liver
  • 08:00metastasis and then that is lit up by pet
  • 08:02and after just a few months of treatment
  • 08:04delivery tasks hasn't changed in size,
  • 08:06but it has become metabolically cold
  • 08:09and this trial would it be alone had a
  • 08:11response rate of about 35% and 50% of
  • 08:14patients doing doing well with controlled
  • 08:16the disease for six months or more.
  • 08:19So this is a background.
  • 08:20I think the correlatives give you the
  • 08:22basis for this for this combination,
  • 08:25and that we look at the pre and on
  • 08:27treatment on the left and comparing
  • 08:29to patients who received it be
  • 08:32alone on treatment on the right and
  • 08:34some some control samples and the
  • 08:36patients received Bevis is a map.
  • 08:38Anti Veg F had changes in the
  • 08:40endothelium as depicted by CD 31,
  • 08:42where they morphologically look plumper,
  • 08:44columnar and biochemically were
  • 08:45activated with up regulation of E.
  • 08:47Selectin.
  • 08:48These morphologic and biochemical
  • 08:49changes and then to filium.
  • 08:51Were associated with kind of
  • 08:52a robot robust in brisk,
  • 08:54lymphocytic infiltrated on the larger insets.
  • 08:56Here you can see that some red cells
  • 08:58in the center of the endothelium and
  • 09:01lymphocytes complete surrounding it in
  • 09:04comparison to what we see with it be alone,
  • 09:06which is really very little
  • 09:08changes and aphelion.
  • 09:09In addition, the endothelium with with veg.
  • 09:12F blockade would be versus a mad had
  • 09:14upregulation of other important anchor
  • 09:16molecules such as the Cam and I Cam that
  • 09:20you can see highlighted and Ethereum here.
  • 09:22That also suggests that by
  • 09:24blocking Veg F you can improve,
  • 09:26potentially improve the trafficking of
  • 09:28lymphocytes into the to my crime and in
  • 09:31this approaching one of the concerns
  • 09:33we had at the beginning of the talk,
  • 09:36which was whether the lymphocytes
  • 09:37immune cells can actually make
  • 09:39it into my environment,
  • 09:41or if they were excluded.
  • 09:42So based on this then check went
  • 09:44on to do some bevacizumab trials
  • 09:46and they did something very smart.
  • 09:49They gave a single dose of bevacizumab
  • 09:51before combining with checkpoint.
  • 09:53Did biopsies before and after above
  • 09:56an fortunately showed that the
  • 09:58Bev the Veg FA blockade by itself
  • 10:00had changes in the endothelium.
  • 10:02Ann had improved lymphocyte
  • 10:03trafficking cross.
  • 10:10Is your one and also the fact that
  • 10:13the Arnie seek in the tumors that
  • 10:16had a myeloid signature seems to do
  • 10:18better when they receive this map.
  • 10:21Again, tying in that myeloid suppressor
  • 10:23function in the veg F function with the
  • 10:26suppressive aspect of the immune system
  • 10:29and that those patients who had those
  • 10:32those myeloid cells there and receive Bev
  • 10:34had a market improvement in their outcome.
  • 10:37So this concept has very rapidly progressed
  • 10:40and obviously in important issues such
  • 10:43as kidney cancer that is driven by hip
  • 10:471A and in Genesis here is anti PDL,
  • 10:49one to value map plus.
  • 10:51XD Neb better far,
  • 10:53123 inhibitor TKI showing that
  • 10:55that combination improvement
  • 10:57over soon to be alone.
  • 11:00Another day to Pember Lism AB
  • 11:02plus extended so anti PD 1 + 54.
  • 11:05One 2-3 and innovation versus
  • 11:06ended up having improvement in both
  • 11:08progression free and overall survival.
  • 11:11And this kind of concept has expanded
  • 11:13very quickly to non small cell lung
  • 11:16cancer with some data showing improvement
  • 11:18with angiogenesis combinations
  • 11:20and either will or has probably
  • 11:23checkpoint plus anti Andrew Genesis be
  • 11:25approvals in hepatocellular carcinoma,
  • 11:27anamitra carcinoma and with other many
  • 11:30combinations being being developed.
  • 11:32So one of the questions we had is what
  • 11:35is the role of the immune system in
  • 11:37this anti into Genesis in terms of the
  • 11:40role of anti genesis and it distract
  • 11:43effect on on immunity and so in some
  • 11:45of our patients we have a banking
  • 11:47aspect we collect from the biopsies,
  • 11:50try isolate Melanoma cells.
  • 11:51We also collect tumor associated fuel
  • 11:53cells and also to associated comma stem
  • 11:55cells in a very simple experiment,
  • 11:57Western blot or mean blinding here looked
  • 12:00at before and after treatment with.
  • 12:02Anti introduces checkpoint combinations
  • 12:04and found that patients post treatment
  • 12:06from their human immunity had either
  • 12:09recognized new an energy targets
  • 12:10or had higher antibody titers to
  • 12:12certain targets and just of note
  • 12:14the bottom left hand corner is that
  • 12:17these two are individual cells.
  • 12:19Do make tube formation so they are
  • 12:22functional that and so we were interested
  • 12:24in trying to isolate what those
  • 12:26targets are because they were seeing
  • 12:29someone else somewhere seen actually
  • 12:31on the endothelial cells themselves.
  • 12:33Calls other medical mental illnesses
  • 12:35and it comes stem cells within
  • 12:37the tumor micro environment.
  • 12:38So one of the factors that were
  • 12:40found in in in doing our kind of
  • 12:43Sidney expression library screening
  • 12:44of endothelial cells with this other
  • 12:47energetic factor in your put into
  • 12:49an so it kind of shows that patients
  • 12:52can at least make any bodies against
  • 12:55another engine factory here at age 2
  • 12:57and age 2 is involved with in Genesis
  • 13:00through spreading and edit this on migration.
  • 13:02It's involved with actually anchoring
  • 13:04the ilium to parasites and kind of
  • 13:07a scaffold of the deathly.
  • 13:08For them to gain structure,
  • 13:10and it's also been shown to be
  • 13:13involved with resistance to bed.
  • 13:15This is a map,
  • 13:16so in many trials mostly chemotherapy.
  • 13:19Those pieces who developed resistance
  • 13:21had higher levels of Angel
  • 13:23Queen too, as a kind of a resistant I
  • 13:25now to tie in the Ender Genesis back
  • 13:28with the potential for immune regulation
  • 13:31and repeating 2 not only signals by
  • 13:34that I receptor found on endothelium,
  • 13:36but also tide to accept it,
  • 13:38which can be found.
  • 13:40Onto your training monocytes and macrophages.
  • 13:42So again, the myeloid component
  • 13:44here being tide in as well as
  • 13:46the link between angiogenesis,
  • 13:47an macrophage biology and immune suppression.
  • 13:50So there could be a dual role for entropy
  • 13:52into both in terms of the androgenic
  • 13:54component as well as immune regulation,
  • 13:57so we were further interest in just
  • 13:59kind of taking a look at this and
  • 14:02found for number of combinations that
  • 14:04Angel Queen 2 levels were associated
  • 14:06with outcomes to treatment so so
  • 14:08patients who had higher levels.
  • 14:10Andrew Queen 2.
  • 14:11Or changes in between 2 levels did
  • 14:13worse and that patients who developed
  • 14:16antibodies to interpret into did better,
  • 14:19showing both for patients with
  • 14:21it be on the bottom here.
  • 14:23And for patients who received it be plus
  • 14:26businesses map on the top right hand corner,
  • 14:29which is the ratio of antibodies.
  • 14:32Change two afterwards to pre levels.
  • 14:34There are a couple of patients
  • 14:36who had high titer antibodies and
  • 14:39whether entropy to go up there.
  • 14:41They had the highest danger point
  • 14:43to any bodies that were present,
  • 14:45so the one of the questions is
  • 14:47whether the humoral immunity being
  • 14:48developed is actually functional an
  • 14:50we have some data that the patients
  • 14:52who are making any bias to interpret
  • 14:54into some of those antibodies can
  • 14:56actually block Type 2 signaling both
  • 14:58on endothelium and in macrophages,
  • 15:00so so the immune system may be very
  • 15:02smart in terms of actually making
  • 15:04functional antibodies against
  • 15:05an engineering factor here,
  • 15:06such as interpreting 2.
  • 15:09So here is some of the data showing
  • 15:11that as a function of treatment
  • 15:13patients get higher levels of
  • 15:16agent into anybody's he both with
  • 15:18patients received hippy dippy Bev.
  • 15:21We have data showing anti PD one patients
  • 15:24also developed any bias to injure
  • 15:27Queen 2 as a function of treatment.
  • 15:30So one of the questions again,
  • 15:32maybe goodbye Sociation is is
  • 15:34is the expression of a gene two,
  • 15:37which seems to be suppressed by Veja
  • 15:39blockade at times associated with these
  • 15:42myeloid cells in the tumor microman
  • 15:44now in preclinical animal models,
  • 15:46people find M1 macrophages as more tumor.
  • 15:49Sidell M2 is more suppressive in humans.
  • 15:52It's a bit more challenging to
  • 15:53define M1 versus 2 and it's really
  • 15:56more functional characteristics,
  • 15:58but he wanted to look at.
  • 16:00Patients received if he alone would be Bev.
  • 16:03So we had these samples to look at
  • 16:06Angel Queen two expression before
  • 16:08and after treatment and what we
  • 16:10found is that with businesses amab,
  • 16:13if you look both in the tumor and
  • 16:16and acylium that you get decrease
  • 16:18in entropy into expression as
  • 16:20a function of the decade.
  • 16:22But with hippie alone endocrine
  • 16:24two seems to increase in both the
  • 16:27tumor cells and in the endothelium.
  • 16:29We then correlated the level of.
  • 16:32Of Andrew Queen two that we could
  • 16:34find in the ilium, to see 163 cells
  • 16:36in the tumor marker firemint, CDC.
  • 16:38Once we can be a marker for my Lord
  • 16:40suppressor cells, or dendritic cells,
  • 16:42and what we found in the dozen or so cases
  • 16:45that there was a seems to be a correlation
  • 16:48with age 2 expression in CD163 cells.
  • 16:50So the higher the age 2,
  • 16:52the more CD wants 3 cells that were noted.
  • 16:55The tumor marker aren't these city
  • 16:57wants 3 cells would be the cells that
  • 16:59had the Type 2 receptors on them and
  • 17:02would part of the myeloid suppression.
  • 17:04And so there was kind of a correlation
  • 17:06between that levels of age 2 in the
  • 17:08my suppressor cells and tumor marker.
  • 17:10Violent again giving data to suggest that
  • 17:13maybe this would be an important target
  • 17:15to consider from both an androgenic
  • 17:17standpoint and from immune regulation.
  • 17:19So moving on to some other plan today,
  • 17:22working with Summer Amanar Group whose
  • 17:24therapist in geologist we preceded
  • 17:27with a Phase 1B study that tested
  • 17:29the activity of PEMBLE is a map anti
  • 17:32PD one with TRIBUTED which is in a
  • 17:34Pepto body that blocks both Angel
  • 17:36Green one and interpreting two now.
  • 17:39The goal here would be hopefully to
  • 17:41get the interpreting to blockade.
  • 17:43Black entropy and one would maybe
  • 17:45potentially do a slightly different effect,
  • 17:48but we know that both veg F in this
  • 17:51cartoon here as well as age 2 have some
  • 17:54overlapping functions into distinct
  • 17:56functions both on their veg F and H2 effects.
  • 17:59On myeloid suppressor cells,
  • 18:00making important factors of style
  • 18:0210 and such the potential role for
  • 18:05PDL 1 onto associated macrophages
  • 18:06in the role that the entropy do in
  • 18:09twin two increases that expression on
  • 18:11tumor social macrophages went back
  • 18:13to one day regional.
  • 18:15Slide showing how PD one
  • 18:17immune cells into my crime.
  • 18:18It was predictive of a Tesla smab
  • 18:20responses to in lung cancer and other
  • 18:23myeloid cells such as neutrophils and
  • 18:25that are becoming more highlighted in
  • 18:27terms of their role in immune suppression.
  • 18:29So we're going to show you the first
  • 18:32group of patients that were rolled
  • 18:34in this study were 17 microsatellite
  • 18:36stable patients with clinical cancer.
  • 18:38All had been heavily pretreated meeting
  • 18:40time of 2.6 years since her diagnosis.
  • 18:43In this trial there are no DLT's in
  • 18:45that 30 mixture kid was was determined
  • 18:48to be the MTD for the the Pepto body.
  • 18:52There were some truly adverse events.
  • 18:54Download distention,
  • 18:55diarrhea of some some adima which has
  • 18:57been shown with injury and inhibitors.
  • 19:00That did you get a little bit of
  • 19:03third spacing some level of Tita
  • 19:06abnormalities but but nothing there
  • 19:08was there was dose limiting.
  • 19:11This is the dose escalation for those
  • 19:13treated on the left with multiple
  • 19:15different cancers and then on the on.
  • 19:17The right is the colorectal cancer court.
  • 19:20Specifically in the first quarter pants
  • 19:22record, so in the dust escalation,
  • 19:24a number of cancers were treated,
  • 19:26including colorectal cancer,
  • 19:27ovarian renal cell, showing that there
  • 19:29were a couple of partial responses include
  • 19:31rectal cancer and some stable disease,
  • 19:33and the writer the spaghetti
  • 19:35plots for spider plots showing the
  • 19:37clinical activity in patients with
  • 19:39colorectal cancer who received.
  • 19:40This combination in the color
  • 19:42took or hurt the meantime.
  • 19:43Depression was 2.8 months that the
  • 19:45meaning of survival of nine months.
  • 19:46We're going to go through a
  • 19:49little just now with this.
  • 19:51So we applied site off which is looking
  • 19:54at at staining immune cells in the from
  • 19:57the purple blood using any bodies that
  • 20:00have heavy metal conjugation which,
  • 20:03as opposed to doing flow cytometry,
  • 20:05are permitted to do 3540
  • 20:07markers at at a time,
  • 20:09and this is looking at patients with
  • 20:12the 1st 12 weeks of cycles of therapy in
  • 20:16specifically focusing on the colorectal
  • 20:18cohort and in splitting up patients who.
  • 20:21Received clinical benefit as defined
  • 20:23as either response or stable disease,
  • 20:25lasting six months or more.
  • 20:28What we found is that there were
  • 20:30certainly higher CC-3 positive cells
  • 20:32in patients with clinical benefit
  • 20:34following their first mission therapy.
  • 20:36Both C4G8 cells decrease in patients
  • 20:38that did not have clinical benefit.
  • 20:41CD 8 effector cell,
  • 20:42specifically,
  • 20:42the memory phenotypes decrease the
  • 20:44patients that do not have clinical
  • 20:46benefit in both the CD four and
  • 20:498603 cells decreased in patients
  • 20:51who had no clinical benefit.
  • 20:53In particular,
  • 20:53was noted in patients who had rapid
  • 20:56progressive disease that these cells were.
  • 20:58Were quite were quite low in decreased,
  • 21:02almost non detectable.
  • 21:04We're looking at other phenotypes
  • 21:06in terms of an NK cell analysis.
  • 21:08Those and we're going to think
  • 21:10further discussed the potential
  • 21:12role for innate immunity here.
  • 21:13So this is going to be the first
  • 21:15kind of hinted that there are
  • 21:17trends that increases in the city.
  • 21:20Fix ceases, Dim CD,
  • 21:2160 negative cells in patients
  • 21:22with no clinical benefit,
  • 21:24and that is in the CD.
  • 21:2616 positive cells were higher in
  • 21:28patients with clinical benefit,
  • 21:29which goes along with the potential
  • 21:31indeed aspects.
  • 21:31There are no differences in the
  • 21:33CD fix excels.
  • 21:34According to the cycle or clinical benefits,
  • 21:37it didn't seem that it was had
  • 21:39to do with timing over treatment
  • 21:42and the CD 56 positive cells were
  • 21:45higher in patients clinical benefit
  • 21:47as well as the NK marker Pete 3056
  • 21:50positive cells were higher in
  • 21:52patients received clinical benefit.
  • 21:54This was consistent across really
  • 21:56all of the patients with the
  • 21:58significance look in my Lloyd cells,
  • 22:00which you would assume that the Pepto
  • 22:03body might be affecting my itself.
  • 22:06That Mila cells increased in
  • 22:08patients with no clinical benefit,
  • 22:09but the myeloid derived suppressor
  • 22:11cell phenotypes seems to increase
  • 22:13in patients with no clinical
  • 22:15benefit in the classical monocytes.
  • 22:17Also,
  • 22:17increasing patient clinical benefit these.
  • 22:19The M2 like macrophages,
  • 22:21which the markers again are not
  • 22:23as well defined in humans,
  • 22:25trended to be higher inpatient
  • 22:27clinical benefit but did not
  • 22:29reach statistical significance.
  • 22:31So the activity of anti PD one
  • 22:33plus the end
  • 22:33two pepta body probando combination
  • 22:35may be hindered by increasing the
  • 22:38price of my life cells leading to
  • 22:40decrease in memory and effector
  • 22:42T cell populations interesting.
  • 22:43There was an association between
  • 22:45baseline NK cell activity,
  • 22:46an expansion of the cytolytic NK
  • 22:48cells and think that the role of
  • 22:50the of checkpoint and other things
  • 22:52on a native beauty needs to be
  • 22:54fully explored will talk about
  • 22:56it a bit and we're currently in
  • 22:58the midst of another enrolling.
  • 23:00Another group of 25 patients.
  • 23:02At Microsoft stable,
  • 23:03colorectal cancer that that core is just
  • 23:06about finished enrolling right now and
  • 23:08hope to get further analysis coming out.
  • 23:11So I think in general the role
  • 23:13of angiogenesis and combinations
  • 23:15is very important.
  • 23:17It has the immune activation
  • 23:19seen by Vjet blockade.
  • 23:20The benefits and efficacy
  • 23:22across multiple cancers,
  • 23:23except taxes are manageable,
  • 23:25but also to further consider
  • 23:27other targets an Angel into
  • 23:29being the next potential target
  • 23:31serum age 2 levels increase.
  • 23:33Increase their social worse
  • 23:34outcomes that veg appliqued me
  • 23:36temporarily decrease into expression
  • 23:38in effect things into my Chrome.
  • 23:40It needs to be a mechanism for resistance
  • 23:43to checkpoint blockade that that I
  • 23:46think is deserving of further studies.
  • 23:48So one of the questions and that
  • 23:51Harry was alluding to is how can
  • 23:54we improve the therapeutic index?
  • 23:57So one of the aspects is bringing
  • 24:00bring back the concept of cytokinin.
  • 24:03So if you think about the original
  • 24:05reports for SQL Blockchain frequent
  • 24:07battles by Jim Allison that the
  • 24:10effect of C2 for blockade wasn't
  • 24:13really well understood or appreciated
  • 24:15until it was combined with GMCS
  • 24:18screening tumor cell vaccines.
  • 24:20That the really demonstrated the
  • 24:23synergetic simplistic potential in
  • 24:25preclinical animal models and that
  • 24:27work that Glenn Dranoff and I did.
  • 24:29Together with James accept subpoena to
  • 24:31missile vaccines with checkpoint blockade.
  • 24:33Suggested a potential synergistic effect,
  • 24:35but work by Craig Sling off and
  • 24:37others and many others have had
  • 24:39concerned that GM may induce
  • 24:40negative regulatory aspects of the
  • 24:42immune response by promoting Mayo.
  • 24:44It's impression cells or T regs
  • 24:46that are in specific in a number
  • 24:48of studies have been done,
  • 24:50so that was kind of the concern
  • 24:52going into this. So originally.
  • 24:54Again, going back to just things in Melanoma,
  • 24:57as a proof of principle,
  • 24:58and if he is the first proof of principle.
  • 25:02We did this randomized study that.
  • 25:04Combined,
  • 25:05hippie noted to be here 10 mix working
  • 25:08which is higher than the approved dose
  • 25:11and had a maintenance portion to it
  • 25:14with systemic GM CSF versus it be alone.
  • 25:17An date is been published.
  • 25:19Progression free survival between
  • 25:21the two arms was not significant,
  • 25:24but interestingly overall survival
  • 25:26was significant for the GM's arm
  • 25:29with the one year rate of survival
  • 25:31for it be alone being 52.9 versus
  • 25:3416.9 for the combination.
  • 25:36Sargramostim or GM CSF.
  • 25:37What will talk about this potential in just
  • 25:41a moment when we looked at side effects.
  • 25:43Usually when you combine things you
  • 25:46have control over more side effects
  • 25:49but we looked at the GMR mscramms to
  • 25:52arm versus it be alone.
  • 25:53The patients in the combination
  • 25:55had fewer high grade adverse
  • 25:57events compared to be alone,
  • 25:59and specifically when we looked
  • 26:01at the toxicity types there was a
  • 26:04profound decrease in GI toxicity.
  • 26:06Diarrhea colitis in Poly toxicity
  • 26:08so colitis diarrhea is the biggest
  • 26:10concern for Epyx itself in.
  • 26:12In pneumonitis, lung inflammation
  • 26:14being a primary concern for NTP,
  • 26:16one based therapy so found
  • 26:18that these two target organs,
  • 26:20having improved benefits with the
  • 26:22combination, fairly intriguing.
  • 26:23So what is the potential mechanisms
  • 26:25that GM improves survival but does
  • 26:27not improve pressure free survival?
  • 26:29So GM recruits todrick cells,
  • 26:31macrophages, and presentation,
  • 26:32and when you combine this with
  • 26:35counteracting introductory elements
  • 26:36such as would simply for blockade,
  • 26:38you could see if surgery happening there.
  • 26:41Maybe Jim improves depletion of
  • 26:43of of regulatory cells that could
  • 26:46be that there would be important
  • 26:48when the President GM that's that
  • 26:51was suggested by Alan Korman.
  • 26:53The importance of of C play 4 in
  • 26:56terms of depleting regulatory cells
  • 26:58could be amplified by GM in this UN
  • 27:01coupling of overall survival and progression,
  • 27:05free survival has been previously
  • 27:06described for other GMC based
  • 27:08immunological therapeutic approaches,
  • 27:10specifically supercell.
  • 27:11Tea and prostate cancer
  • 27:12dendritic cell vaccine has,
  • 27:14as part of its component GM put into it
  • 27:16and there was a also a disconnection
  • 27:19between progression free survival and
  • 27:21overall survival with an improvement.
  • 27:23Overall survival in those studies
  • 27:24that included super Salty,
  • 27:26so it's teen prostate cancer.
  • 27:28So there's another basis for
  • 27:29this observation in the past.
  • 27:31But when we look at the possible
  • 27:33mechanisms of improved Palmer TX,
  • 27:35is Glenn Dranoff had had done the GM
  • 27:37knockout mouse and and those gym mice
  • 27:40develop significant lymphoid hyperplasia.
  • 27:41This around the Airways,
  • 27:43in the lung vasculature.
  • 27:44They're really clearly demonstrates
  • 27:46the role of GM in Palmer home stasis,
  • 27:49and you can see in panel A is
  • 27:51a normal mouse lung and panel
  • 27:54B being the GM knockout mice,
  • 27:56showing the profound inflammation
  • 27:58in the Airways.
  • 27:59In addition,
  • 28:00GM is a cytokinins involved in
  • 28:02the coastal homeostasis in in
  • 28:04really promotes GI equal healing.
  • 28:06The knockout mice have colitis and
  • 28:08this can be partially reversed with
  • 28:10administering systemic James half.
  • 28:12If you look at idiopathic bowel
  • 28:14inflammatory bowel disease.
  • 28:15Jim may have a role there,
  • 28:17so there are trials of giving GM
  • 28:19to patient with Crohn's disease.
  • 28:21They have shown improvement,
  • 28:23a subset of patients with Crohn's
  • 28:25disease have high titer neutralizing
  • 28:26antibodies to GM.
  • 28:27They show a mechanism weijia may be
  • 28:29important in some inflammatory bowel disease.
  • 28:32Patients actually have decreased
  • 28:33levels of GM receptors,
  • 28:34again making this combination.
  • 28:36So we moved on to doing a randomized
  • 28:38phase two three trial of submission
  • 28:41or GM CSF plus nivo it be versus
  • 28:43Navy would be alone.
  • 28:44The primary endpoints were overall
  • 28:46survival relapse, free survival.
  • 28:48In in potential reduction
  • 28:49toxicities Anne's hair and I were
  • 28:52talking right before this.
  • 28:54The trial is ongoing in the
  • 28:56midst of phase three,
  • 28:58so I think the role of GM is interesting,
  • 29:02possibly from exclamation point,
  • 29:04but particularly from his possible
  • 29:07reduction in in side effects
  • 29:09in that cytokines may behave in
  • 29:11different organs differently,
  • 29:13so the lung and gut,
  • 29:15which is the mainstay of protection.
  • 29:18Against invading microorganisms,
  • 29:19GM may play a very important
  • 29:21homeostatic role there,
  • 29:22and they play different roles systemically
  • 29:24throughout the other parts of body,
  • 29:25and this is other areas were
  • 29:27interested in looking at.
  • 29:29So what what drives response to
  • 29:31checkpoint blockade is kind of next
  • 29:33next question and we set up some
  • 29:35site off panels looking at patients
  • 29:37who had received it be alone and
  • 29:40receive PD one alone and spent a
  • 29:42long time saying these panels up.
  • 29:44And would you find out with the site
  • 29:47offers that doing the experiments
  • 29:48may may become much easier,
  • 29:50but the analysis of the data from
  • 29:53computational biologist endpoint
  • 29:54can be quite onerous and and such,
  • 29:56but these are some of the Disney plots that.
  • 29:59Be a established looking at the
  • 30:01different subsets of cells that
  • 30:03we could look at in the purple
  • 30:05blood and again focused on patients
  • 30:07who had received it be alone.
  • 30:08Initially in Pembroke alone.
  • 30:11And what we found is that patients
  • 30:14who between those those two chords,
  • 30:16lymphocytes and monocytes frequencies
  • 30:18very much differ between responders and
  • 30:21non responders where you can you see
  • 30:24with patients who responded to Penn Bro,
  • 30:27there's actually less lymphocytes
  • 30:28in the purple blood.
  • 30:30Well,
  • 30:30if that's not the case and that there
  • 30:33also are higher monocytes in patients
  • 30:36responding in the blood to Japan bro.
  • 30:39And then.
  • 30:40Sanders and that is not the case with 50.
  • 30:43One of the things that kind of
  • 30:45fell out in the data set is that
  • 30:48patients who failed response to anti
  • 30:50PD one had lower expression of CD.
  • 30:5269 would be in case also kind of
  • 30:54activated circulating NK cells
  • 30:55in the peripheral blood an we've
  • 30:57subsequently have a couple of other
  • 30:59other datasets working on the kind
  • 31:01of has confirmed these observations.
  • 31:02It really brings out the question of
  • 31:04what the role of innate immunity is.
  • 31:06Here we know that in case cells
  • 31:08have PD one in the surface,
  • 31:10but when you the most profound
  • 31:12effects have been on these.
  • 31:14Circulating activated CD-69 that
  • 31:16would be positive NK cells in the
  • 31:19peripheral blood that seems to be
  • 31:21associated most with pembrolizumab
  • 31:23efficacy in normal.
  • 31:25So with that as a basis,
  • 31:28we wanted to say what other aspects of
  • 31:31the tool micro vironment contribute to.
  • 31:34Maybe Check Point resistance or
  • 31:36efficacy and there we could have many
  • 31:39lectures on all the areas investigation.
  • 31:42We've seen that ACR Anasco recently
  • 31:44of areas are looking at quote unquote
  • 31:47resistant mechanisms to PD one blockade,
  • 31:50so we talked the importance of having
  • 31:52seen infiltrate the importance of interferon.
  • 31:55In the two microenvironment and then
  • 31:57things such as beta two mutations
  • 31:59that may be part of the APC machinery
  • 32:02or Jack mutations.
  • 32:03Part of interferon signaling that they
  • 32:05may be important resistant mechanisms,
  • 32:07but we were further interested
  • 32:09in looking into that.
  • 32:10My work with Scott Rodick was simply
  • 32:12want to look at the protein level.
  • 32:15What class one and Class 2 as part
  • 32:17of the APC mechanisms are doing
  • 32:19as part of this resistance in
  • 32:21relative to checkpoint blockade.
  • 32:23So we took advantage of this study.
  • 32:25The so called Checkmate 064
  • 32:27Study investigation study.
  • 32:28That randomized patients untreated
  • 32:30patients mellema to either receive
  • 32:32first niveau induction followed by
  • 32:34a four switch to Epyx induction,
  • 32:36or the other half of patients
  • 32:39received it be first induction for
  • 32:4112 weeks followed by NIVEAU and
  • 32:44then after both induction periods,
  • 32:46all the patients got needle maintenance
  • 32:49and everyone got biopsies before hand.
  • 32:51In between the two inductions
  • 32:53in falling induction,
  • 32:55two as well as a collection
  • 32:58of peripheral blood samples.
  • 33:00And we want to look specifically
  • 33:02at the protein level,
  • 33:03so this is work and penalty by Scott
  • 33:05Rodick and looking at class one
  • 33:07expression in the left hand column in
  • 33:09Class 2 expression in the right hand column.
  • 33:12And there's a little bit of our part to this,
  • 33:15so if you look in a room normal 1/3
  • 33:17and five you have high levels of
  • 33:19class one expression which you should
  • 33:21see in all nucleated cells, right?
  • 33:23All nucleus should have high class.
  • 33:25My expression three is decrease and
  • 33:27five is almost absence of of class one.
  • 33:29But interesting in this tumor.
  • 33:31You have your control cells there.
  • 33:33You have immune cells there that
  • 33:35have class one.
  • 33:35That kind of show you,
  • 33:37I think,
  • 33:38fairly profoundly that the tumor
  • 33:39itself is last class one and then
  • 33:41on the right hand column for 246
  • 33:43you have Class 2 expression of
  • 33:45high Class 2 expression,
  • 33:46which is typically not all
  • 33:47that common in cancer Melanoma.
  • 33:49You have medium and then you have no Class
  • 33:522 expression in panel 6 on the bottom.
  • 33:54Figure what we've done is we've
  • 33:56color coded on the top the the level
  • 33:58of class one expression across all
  • 34:00the tumors that were evaluated.
  • 34:01So the darker has the highest
  • 34:04class my expression.
  • 34:05Approaching level all the way down
  • 34:07to kind of complete loss of classics
  • 34:10pressure on the right and then right
  • 34:12below that is by HC is Class 2 expression.
  • 34:14Then we looked at both Arnie
  • 34:16seek and whole exome sequencing.
  • 34:18For these samples and so the middle
  • 34:20panel shows you Barney seek class
  • 34:22one expression HLA B&C and on
  • 34:24the bottom shows you where there
  • 34:26are mutations and the things that
  • 34:28you would be most interested in,
  • 34:30such as beta two and Jack Stack.
  • 34:32So of note there were very few.
  • 34:35Mutations and beta to attract Staten.
  • 34:37Actually one of the major mutations.
  • 34:39If you look at the left hand portion
  • 34:41and purple where there was a detective
  • 34:43beta mutation actually had very
  • 34:45high level of classification by
  • 34:47Etsy and we when we look into there
  • 34:49that that that actually patients
  • 34:51tumor had about was estimated about
  • 34:537% of reeds had abated mutation,
  • 34:55so most of them did not,
  • 34:57but it was probably a minor
  • 34:59population and maybe suggest
  • 35:00mechanisms of acquired
  • 35:01resistance going down the road.
  • 35:04So we looked at the initial response
  • 35:06to patients who either on the top
  • 35:09here received hippie first or so
  • 35:11simply for blockade on the bottom,
  • 35:14received niveau or anti PD one and
  • 35:16what we found is that the patients
  • 35:19who had reduction in class one
  • 35:21which was determined to be 50% or
  • 35:24more reduction class one did really
  • 35:26poorly to CFO blockade tippy while
  • 35:29patients with reduction class one
  • 35:31did not seem to affect the response
  • 35:34rates for outcomes to Geneva.
  • 35:36Interestingly,
  • 35:37patients who had any Class 2 expression
  • 35:40as defined by 1% did really well to
  • 35:43Nivo had improvement in outcome to Nivo,
  • 35:45but do not seem to affect all
  • 35:49their clinical outcomes to
  • 35:50see full blockade with hippie.
  • 35:53So these are the Catman.
  • 35:54Alesis and Gray are.
  • 35:56Some patients were not a valuable
  • 35:58few patients an an here we have,
  • 36:00the blue being patients who
  • 36:01had intact class one.
  • 36:03So if greater than 50% or intact class
  • 36:05one in the red being patients who had a
  • 36:08reduction of 50% or or loss of Class 1.
  • 36:11The patients who received it
  • 36:13be first and went to Nivo.
  • 36:14You can see here did much much better.
  • 36:17Who if they had class one intact
  • 36:19if they had reduction class
  • 36:21we did very poorly in red.
  • 36:23And actually took us a little while
  • 36:25to figure this out because there were
  • 36:27a number of patients who received
  • 36:29it be first who are quote unquote
  • 36:31in not not valuable at 1st and the
  • 36:33reason is because some of those
  • 36:35patients who had the lowest class,
  • 36:37one expression or complete loss of
  • 36:39classic session unfortunately never
  • 36:40made it to the first set of staging scans.
  • 36:42They either progress very rapidly
  • 36:43or passed away early on in their
  • 36:45treatment course.
  • 36:46This is compared to a panel on the
  • 36:48right who received niveau 1st and
  • 36:50there was no difference on their class.
  • 36:52One expression on outcomes to Nevo.
  • 36:55Here's Class 2 expression again
  • 36:56on the left patient,
  • 36:57receiving it be first in the right place.
  • 37:00For seeing you go first,
  • 37:01there was a slight trend, but not squeeze.
  • 37:03Some big difference for me first,
  • 37:05but the patients who had any Class
  • 37:072 expression did really well to
  • 37:09niveau as depicted by the blue
  • 37:11line on the right hand panel.
  • 37:13So we.
  • 37:13Had the Arnie seek data and we
  • 37:15want to further kind of investigate
  • 37:17what genes could be related with
  • 37:20a focus on the patient.
  • 37:21Received Niveau 1st and these are the
  • 37:23top top jeans that were so sheated
  • 37:26with with with good outcomes but had
  • 37:28low class one expressions and many
  • 37:29of these are in a fair and target genes.
  • 37:32As you can see as you would expect
  • 37:34and of no down near the bottom is
  • 37:37I'll 15 which would be a target in
  • 37:39case it was also significant in that.
  • 37:42So we looked at the interferon.
  • 37:44Genes are associated with outcomes
  • 37:46in the patients receive needle
  • 37:48first. We also had the interference
  • 37:50publishing secure from from
  • 37:52mercantile we visited, looked,
  • 37:53would they looked at Penn Bro.
  • 37:55We had our top 25 jeans and of course
  • 37:58any good computational group would want
  • 38:00to have their own their own signature.
  • 38:03So they develop their own infernal legions.
  • 38:06Was had some overlap so that on the
  • 38:08left or patient received needle first
  • 38:10on the writer page received it first.
  • 38:13In the patients who had these
  • 38:15signatures and had low class,
  • 38:17one expression still did very well to niveau,
  • 38:20but the expression of these genes
  • 38:23most of interferon target genes
  • 38:25do not affect their outcomes to
  • 38:27Epyx and so this would is what you
  • 38:30would have would have accepted.
  • 38:32When we looked at the patients receive me,
  • 38:34go first and had low class one
  • 38:36expression and looked at what other gene
  • 38:38signatures were associated with that.
  • 38:40The patients again who got needle first.
  • 38:42There were some gammadelta cells that were
  • 38:45associated with outcomes as well as an in
  • 38:48case signature as depicted on the left,
  • 38:50and those signatures were not
  • 38:51influential for patient received
  • 38:53it be first in terms of outcomes,
  • 38:55we were able to in those patients
  • 38:57who had low class one expression and
  • 38:59good outcomes were able to identify
  • 39:01in the two mark apartment by C.
  • 39:03Both Gamma, Delta and in case files.
  • 39:05There were few,
  • 39:06but they were detectable in those
  • 39:08in those patients by HC.
  • 39:10Anne's kind of hinted before I'll
  • 39:1215 specifically in the patients
  • 39:13who had low class and expression
  • 39:16or single first was associ with
  • 39:18better outcomes in on the left.
  • 39:19Here an we're not influencing the outcomes
  • 39:23to page received it first on the right.
  • 39:26So we were interested trying to
  • 39:27confirm in some way another group
  • 39:29of samples that were well clinically
  • 39:32annotated for outcomes and went
  • 39:33to the Checkmate 069 study,
  • 39:35which was a study that had got
  • 39:37the proof on evil Epion Melanoma,
  • 39:39and so there was one Group A source evil
  • 39:42it be an another group that received it,
  • 39:45be alone and had samples available
  • 39:47for analysis.
  • 39:48While we were able to show is that
  • 39:50the patients got it be alone who
  • 39:52are downregulation of class one
  • 39:54basically had 100% negative predicted
  • 39:55value for for both response and
  • 39:57an for poor clinical outcomes.
  • 39:59So if they had loss of class one
  • 40:01again they did very very poorly
  • 40:03for the patient seen evil.
  • 40:05Plus it be there were there were
  • 40:07trends but there was nothing stuff.
  • 40:09Again.
  • 40:09Obviously this is not ideal that it was
  • 40:11combination that is hard to dissect out.
  • 40:13There was a trend toward the
  • 40:15Class 2 being beneficial,
  • 40:16but it does not reach.
  • 40:18Sickle significance.
  • 40:19Here are the the mayor analysis for
  • 40:22patients with class one expression,
  • 40:24again high versus low class profession
  • 40:26with iffy on the left and evil clip
  • 40:28in the right and you can see the
  • 40:31difference received it be with low
  • 40:33class xpression doing very poorly.
  • 40:35It was no difference for patient received
  • 40:37new needle plus it being.
  • 40:39Nearest Class 2 expression that
  • 40:42again reached had a trend but
  • 40:45did not reach significance.
  • 40:48So it appears that secretly for blockade,
  • 40:50responses are dependent on MHC class
  • 40:53one expression while PD one blockade
  • 40:55is not entirely dependent class
  • 40:56one but is improved with Class 2
  • 40:59expression and with also previously
  • 41:01described interference signatures,
  • 41:02they really show the importance
  • 41:04of interfering there.
  • 41:05I think this raises a lot of questions
  • 41:08and on what other aspects interest to do.
  • 41:11We are interested in looking at
  • 41:13other other cancers in the Class
  • 41:152 component which has been also
  • 41:17reported by other groups importantly.
  • 41:20Suggest that maybe CD four cells
  • 41:22making game in assure on could be
  • 41:24very important for for for PD one
  • 41:26blockade dependence on class one.
  • 41:28For 64 we've always been interested in using.
  • 41:31This is a predictive marker.
  • 41:33Prognostic studies and are looking at
  • 41:35other groups of patients both needle,
  • 41:37plus if it in order to to try to really
  • 41:40say if patient has downregulation
  • 41:42class one which should it be considered
  • 41:45or not as part of the regiment?
  • 41:48So we're really now applying newer
  • 41:51technologies to understand the spatial
  • 41:53relationships with immune cells,
  • 41:56tumor environment,
  • 41:57doing both MIDI and other other
  • 42:00important imaging techniques,
  • 42:01sisyphe and others to understand the
  • 42:05interactions of these immune cells.
  • 42:07Myeloid cells CD4 CD,
  • 42:09eight other other aspects,
  • 42:11as well as the APC machinery
  • 42:14nearest neighbors to understand the
  • 42:17interaction between requirement.
  • 42:19We think it's important to better define
  • 42:21the role of Class 2 and CD4 cells as
  • 42:24well as the potential for Nate immunity.
  • 42:27We have some hints there,
  • 42:29both from their early site off as
  • 42:31well as some of the aspects and
  • 42:34looking the difference between needle
  • 42:36versus AP or simply for speedy
  • 42:38one or the control for NK cells.
  • 42:41Even with checkpoint blockade,
  • 42:42important role of cytokines,
  • 42:43both the efficacy as well as some
  • 42:46examples of possible reduction
  • 42:47in in toxicities combination.
  • 42:49Drink factors and really using data for
  • 42:51rational combinations of checkpoint
  • 42:53blockade based therapies in the future.
  • 42:55So many of the things I've discussed
  • 42:57with you today were investigating
  • 42:59initiated and it's always very
  • 43:00hard to do investigation studies.
  • 43:03And this is just a list of the many
  • 43:05folks that were involved with these
  • 43:08studies in the approaches that the
  • 43:10result for them and I just want
  • 43:12to pay pay thanks to them.
  • 43:15And these are my disclosures too.
  • 43:23Thank you.
  • 43:26Thank you Steve.
  • 43:27I'm going to ask folks to please
  • 43:29enter questions into the chat box,
  • 43:31but while folks do that I will
  • 43:33start with one or two.
  • 43:35That's OK with you.
  • 43:38So first question was the dose
  • 43:40delivery better when you gave the
  • 43:41AP and the GM CSF versus APLON?
  • 43:43In other words,
  • 43:44were you able to get more cycles in?
  • 43:47Now that's a very it's very good question.
  • 43:50So when and when we looked at that and in
  • 43:52response to some of the reviewers comments,
  • 43:55is there was good question there
  • 43:56done not seem to be a significant
  • 43:59difference in number of cycles
  • 44:00there were between the two arms,
  • 44:02so so that's a great question.
  • 44:04So if you reduce the we
  • 44:06know that super blockade,
  • 44:07we know that if he is dose dependent, right?
  • 44:09We know going from 3 to 10 you have
  • 44:12more toxicity and more responses,
  • 44:14and so the question is great
  • 44:16question is whether you could
  • 44:17just get more more Dragon and.
  • 44:19Watching at least between the storms,
  • 44:21do not seem to be a significant
  • 44:22difference between between that,
  • 44:23but that's a great question and something
  • 44:25we need to continue to look into as
  • 44:27we move on to the needle at the study.
  • 44:30Let's not thank you.
  • 44:32Expression is So what
  • 44:34directions are you planning
  • 44:35on taking for class one?
  • 44:37Deficient melanomas.
  • 44:39Yeah, we we number one have been
  • 44:41interested in looking at whether the
  • 44:43class one observation is important.
  • 44:45Other cancers Sony would be is now
  • 44:47a lung cancer and kidney cancer and
  • 44:49we've been trying to gain access to
  • 44:52some of them just to see you know,
  • 44:54does does class one influence that?
  • 44:56So that's the first thing.
  • 44:58The other thing is we were kind
  • 45:00of interested to look at a just
  • 45:02even a biomarker driven trial
  • 45:04for classroom expression to say,
  • 45:06should patients who have low
  • 45:08class work session.
  • 45:09Getting it be,
  • 45:10or if there's an efficacy change,
  • 45:11we just haven't been able to
  • 45:13get traction to do such trials
  • 45:15and logistical standpoint.
  • 45:16Yeah,
  • 45:17it's very complicated and you
  • 45:18got a lot of them going on,
  • 45:20so there's a question from the
  • 45:22audience from Antonio Muro.
  • 45:23Thank you for your presentation.
  • 45:24By the way, thank you for
  • 45:26the presentation is awesome.
  • 45:27It's going to end up with that,
  • 45:29but in the GBM trial,
  • 45:30comparing neighbor versus
  • 45:31Beth patients with PD,
  • 45:32L1 expression survived longer
  • 45:33if they received bags.
  • 45:34Do you have any ideas as
  • 45:36to why that could be?
  • 45:39Yeah so. One of the questions that could
  • 45:43be confusing is whether the PEO expressions
  • 45:45on the tumor on the mileage component
  • 45:48so in in brain tumors you gonna have the
  • 45:50myeloid like cells or run that probably
  • 45:52have a lot of people and expression,
  • 45:55and so one of the hints from the Genentech
  • 45:58trial is that the immune cells express PD L1.
  • 46:01The myeloid cells also for both markers.
  • 46:03For predicting this to improve outcomes
  • 46:05to budget blockade and so depending upon
  • 46:07you know sometimes maybe more myeloid
  • 46:09dependent on my my Lord Rich and others.
  • 46:12Include by blocking veg F for engineering
  • 46:14factors you actually having a greater
  • 46:15effect on that myeloid suppressor
  • 46:17compartment that my suppressor effect
  • 46:19then then actually on the tumor itself.
  • 46:21So that would mean without having
  • 46:22a definitive answer,
  • 46:23that that would be one of the hypotheses
  • 46:25is that you're when you're blocking with
  • 46:28Bev that you that you may be affecting
  • 46:30both your immune cells that are pretty
  • 46:32one positive as well as as well as
  • 46:34the myeloid component that affects,
  • 46:36and so if the tumor is is is more dependent
  • 46:39on myeloid cells or in such that you.
  • 46:42Milo suppressive cells.
  • 46:43You may be having a benefit
  • 46:45by blocking benchev there.
  • 46:46That's again something that needs to be
  • 46:49more definitively determine in patients,
  • 46:51but I think a reasonable hypothesis.
  • 46:53Now then, maybe Antonio can respond to
  • 46:55the question of whether it's actually
  • 46:57primarily expressed in the my load
  • 46:59cells or in the glioma cells themselves.
  • 47:01'cause I've seen some really strongly
  • 47:04positive gliomas tumor cells.
  • 47:06It is interesting,
  • 47:07then why folks into other questions.
  • 47:09I'm going to ask you a question about your
  • 47:11early date on the vasculopathy with the CTA.
  • 47:14Four at that pic.
  • 47:15That figure that your shoulder
  • 47:16is actually quite stunning.
  • 47:18Do you think that that's organ dependent?
  • 47:20More likely.
  • 47:20See it in the liver or whatever.
  • 47:22Or do you think and maybe you've
  • 47:24had a chance to look at that now,
  • 47:27so we've so, at least in
  • 47:29that very early stage.
  • 47:30Way back when they do not seem
  • 47:32to be organized and we had,
  • 47:34we saw the best drop, the many different,
  • 47:36many different organs that were biopsied.
  • 47:38And. In so we've also as many are looking
  • 47:43at tertiary lyford's liquid structures.
  • 47:45That anti interests may
  • 47:46also be influenced in.
  • 47:47So we actually saw a large I didn't
  • 47:50think into this into much detail.
  • 47:52A number of tertiary lymphoid
  • 47:53structures associated with that,
  • 47:55and you think that maybe those are
  • 47:57making any bodies and those mission
  • 47:59with good outcomes, but that,
  • 48:00but as we're looking at for these
  • 48:02traditional infrastructures,
  • 48:03we also saw these vast properties
  • 48:05in many different organs,
  • 48:07so there's different degrees of it,
  • 48:09but but but it does not seem to be working.
  • 48:12It.
  • 48:13Interesting, and then if you followed
  • 48:16followed up on your studies of the angio,
  • 48:18the edge two expression in the Tigers
  • 48:21in patients who got deep in Eva.
  • 48:24No, there's blood studies that your
  • 48:26shirt yeah yeah yeah, yeah.
  • 48:28So we so with evil if he also and we
  • 48:30do have some data that we're putting
  • 48:33together that while the antibody titers
  • 48:36are not as the increase in anybody,
  • 48:39titers are not as high.
  • 48:41If the patient had received which.
  • 48:43Maybe again suggest maybe there's
  • 48:45some humanity effects to anti
  • 48:47Backdraft patients who did develop
  • 48:48antibodies to enter into an evil.
  • 48:50If he did seem to do better
  • 48:53than patients who did not,
  • 48:55but the waiting to do our
  • 48:57confirmatory cord right now.
  • 49:00That's great, and then so you're
  • 49:01planning on following up on those
  • 49:03studies with the engine point,
  • 49:05and we wanted to inhibitors
  • 49:07in other cancers or with EPI
  • 49:09Nevo as opposed to a dragon.
  • 49:10Yeah, so I heard you're always my therapist.
  • 49:13It's always been challenging to gain
  • 49:15access to these drugs for grade to do
  • 49:18some of the the stage you want to,
  • 49:20so that's been one of the challenges,
  • 49:22but there are. There are some companies
  • 49:25that are looking at at dual veg F.
  • 49:27H2 inhibition in cancer,
  • 49:28and I think that those studies will probably.
  • 49:31People shed further light,
  • 49:32so when you block veg F,
  • 49:34Ange two goes down temporarily and then
  • 49:36H2 comes up is kind of resistant mechanism
  • 49:38and so the question is whether you
  • 49:41whether the blocking age 2 would would
  • 49:43also be beneficial with veg F and likelihood.
  • 49:46It probably would be in terms of
  • 49:49if these hypotheses are right,
  • 49:51but effect PFS because because you'll be
  • 49:54blocking into an once resistance comes out,
  • 49:56so those some of those trials
  • 49:59are being done early on.
  • 50:00H2 inhibitors that were studied were
  • 50:03many of the companies have shelved that
  • 50:05as a target because the inhibitors,
  • 50:08when combined with chemo, didn't seem
  • 50:10to do any better than blocking VEGF,
  • 50:13combining chemo, and so there was,
  • 50:15I think, less enthusiasm.
  • 50:16At that point,
  • 50:18hopefully some of the mechanism questions
  • 50:20and the questions and combining with
  • 50:23checkpoint blockade may may give a
  • 50:26little bit of impetus to to look at
  • 50:28this further in in cancer therapeutics
  • 50:30by combining with checkpoint and and
  • 50:33the complexities of indigenous actors,
  • 50:35so hopefully there will be
  • 50:37some reinitiation of that.
  • 50:38So what happens
  • 50:40to entry point into levels when you
  • 50:42give of edge of receptor inhibitor?
  • 50:46As opposed to especially
  • 50:47The Dirty inhibitors, yeah,
  • 50:49I don't. I don't think I haven't seen any
  • 50:52data that specifically looked at that.
  • 50:55We went yeah yeah but I think yeah
  • 50:59yeah so I think that you know
  • 51:02the the kidney cancer and and.
  • 51:05The all those, all those states
  • 51:06could look at the issue levels.
  • 51:08I have not been able to look at that,
  • 51:10but that's a very good question.
  • 51:13Maybe even even the Lebanon studies have
  • 51:15been coming out in Melanoma and others
  • 51:17are also very interesting in Aladdin.
  • 51:20Bullhead veg F receptors,
  • 51:21also FGF in those studies.
  • 51:23Some of them just recently presented
  • 51:24at ASCO are also kind of indicative
  • 51:27of this of this combination,
  • 51:29so then looking at other its effects,
  • 51:31another energetic factors age 2
  • 51:32I think would be an opportunity.
  • 51:37So Steve is a final question for you.
  • 51:39What do you think the next big
  • 51:40hit is going to be in Melanoma?
  • 51:42Let's put aside the leg 3 because
  • 51:44we already know about that one.
  • 51:47Yeah, I, I think that the live Adam data
  • 51:49also looks very interesting, right?
  • 51:51In terms of combinations where that
  • 51:53fits into the portfolio of options for
  • 51:56patients in terms of line and such,
  • 51:58it will need to be kind of further detailed.
  • 52:01I do think that as a field
  • 52:03for me in therapy in general,
  • 52:06making hints to it that we have to
  • 52:09understand the role of an aide,
  • 52:11immunity and that so some of the targets
  • 52:13for NK cells and targeting my light
  • 52:16cells I think are interesting very.
  • 52:18Early in development,
  • 52:19but will Melanoma and other cancers have?
  • 52:21P1 is a base will be an opportunity to
  • 52:24test those aspects with innate immunity.
  • 52:26It's not a matter of getting
  • 52:29the innate immunity started,
  • 52:30but I think more of how how durable
  • 52:32that those interactions are.
  • 52:34So in case else, or may be interesting,
  • 52:37but how do you propagate them long
  • 52:39term so I would say like 3 looks good.
  • 52:42I will say in Genesis looks good.
  • 52:45We'll see what GM does,
  • 52:46but that the future interest
  • 52:48in other excitement.
  • 52:49In addition to the checkpoints
  • 52:50would probably be how we manipulate
  • 52:52innate immunity to to help patients
  • 52:54with cancer in the future.
  • 52:57Steve, I think that there
  • 52:58are no other questions.