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Immunotherapy for Hepatocellular Carcinoma: Promises and Challenges

June 24, 2020
  • 00:00Thank you all for
  • 00:03joining us it's a real privilege
  • 00:06today to welcome our new chair
  • 00:09of pathology at Yale,
  • 00:12Doctor Chen
  • 00:14Liu is the Anthony N. Brady Professor of Pathology
  • 00:18who joined us on March 1st?
  • 00:20So really right
  • 00:22into the thick of it.
  • 00:26And in the short time he's been
  • 00:29here he has
  • 00:31Collaborated with all of us,
  • 00:34particularly in his efforts to
  • 00:36champion the testing efforts that were
  • 00:40essential in our response to COVID.
  • 00:43Chen received his training in China
  • 00:46received his postgraduate training
  • 00:49at Peking Medical College,
  • 00:52his PhD in pathology at University of
  • 00:55Pennsylvania and most recently had
  • 00:59served as the chair of pathology immunology
  • 01:02and Laboratory Medicine,
  • 01:03as well as the chair of the center
  • 01:07of dermatology at the Robert Wood
  • 01:10Johnson Medical School in New Jersey.
  • 01:12Chen's career has been focused on the
  • 01:15work in viral hepatitis liver cancer
  • 01:17immunotherapy graph versus host disease,
  • 01:20as well as cancer epigenetics,
  • 01:22where he's made important
  • 01:24contributions in all of these areas.
  • 01:27Really understanding mechanisms of
  • 01:29carcinogenesis defining cancer
  • 01:30biomarkers and equally importantly developing
  • 01:33new therapeutic approaches and
  • 01:34we're really so privileged to have
  • 01:37Chen not only as the new chair,
  • 01:39but as a member of our Cancer Center,
  • 01:42and this really gives us, I think,
  • 01:45really great additional expertise and
  • 01:47strength among the talent we have here.
  • 01:54Thank you very much Charlie,
  • 01:56for that
  • 01:57nice introduction and also more
  • 01:59importantly, thank you for the
  • 02:01opportunity to present this talk.
  • 02:25Just briefly, I am a liver
  • 02:28GI pathologist so I'm actually practicing
  • 02:31in the clinical
  • 02:33service and I'm also a pretty
  • 02:36good mouse pathologist in general,
  • 02:38so I think basically I serve
  • 02:40as a sort of expert
  • 02:43consultant.
  • 03:30So today
  • 03:31I would adjust the
  • 03:33top one of the you know.
  • 03:34You know main research project
  • 03:36and you might laboratory,
  • 03:38which is sort of how to divide
  • 03:40up how to developer mode.
  • 03:42Effective email Sara pay for
  • 03:45hyper cellular carcinoma.
  • 03:47OK, so good.
  • 03:48So uh, as you know a better seller cars.
  • 03:52Nobody is very deadly disease.
  • 03:54You know it's actually really they
  • 03:56will come and you know we have almost
  • 03:59600,000 new cases a year globally.
  • 04:02In contrast to many other type of cancers,
  • 04:05you know.
  • 04:06Mostly theology is a relatively well not.
  • 04:09For instance,
  • 04:09you can see it's almost 80% of those
  • 04:12cases are caused by two viruses,
  • 04:15hepatitis B and hepatitis C virus is,
  • 04:17and then the other,
  • 04:19so you know it's a toxin alcohol awesome.
  • 04:22Recently fatty liver disease and
  • 04:24some metabolic liver disease.
  • 04:25You know you know all contributed to
  • 04:28the etiology of hyper server carcinoma.
  • 04:30I think one thing in common is in
  • 04:33majority of the cases an there
  • 04:35is long standing.
  • 04:37Monitor liver disease and
  • 04:38then develop chronic.
  • 04:39You know you know hepatitis
  • 04:41and also cirrhosis,
  • 04:42which is almost like a
  • 04:44precancerous condition,
  • 04:45and then become my father Cellular
  • 04:47Carcinoma because of this uniquely
  • 04:49theology and the pathogenesis there at
  • 04:52least two things we can think about.
  • 04:54Why is the best way to eliminate it's,
  • 04:58you know cancer is really with it is emitted,
  • 05:01the ideology. So in this case,
  • 05:03if you can eliminate hepatitis B,
  • 05:06hepatitis C with.
  • 05:07Pretty much he limited 80% of the of
  • 05:11the cancer, so hepatitis B vaccine has
  • 05:15been practice of over multiple decades.
  • 05:18I think the data is already show because
  • 05:21of the widespread you know like seen
  • 05:26vaccination against hepatitis speed,
  • 05:28the incidence of liver cancer indeed has
  • 05:32seen trending down in the hepatitis B.
  • 05:36Prevalent regions and so the other thing is.
  • 05:41Question is because there is a
  • 05:44longstanding process for, you know,
  • 05:46from the initial lever insult to the
  • 05:48cancer formation is you already talked?
  • 05:51We're talking about a 20 to 30 years and
  • 05:54then we do have very high risk population,
  • 05:58so we know this high risk population,
  • 06:01so this provides a window of opportunity for
  • 06:04us to develop ball markers or something.
  • 06:07Therapeutic interventions.
  • 06:08In other words,
  • 06:09we can identify the underlying pathogenesis
  • 06:11and hopefully we can identify targets.
  • 06:14And to intervene to prevent out trade.
  • 06:18Now I've had this order carcinoma,
  • 06:21so currently you know.
  • 06:23Unfortunately the you know,
  • 06:25liver cancer therapy is really behind
  • 06:28too many of other solid tumors.
  • 06:31We did not have really big progress.
  • 06:34You know,
  • 06:35for hyper server carcinoma therapy
  • 06:38and there is absolutely unmet
  • 06:40need in this cancer,
  • 06:43so we were transplantation can be
  • 06:45considered as a curatives therapy.
  • 06:48If we had identified the tumor
  • 06:50earlier and also there is a lever
  • 06:53available for their patients,
  • 06:55those can be considered cured.
  • 06:57Killer and the surgical resection is,
  • 07:00you know,
  • 07:01has been performed by the recurrence is,
  • 07:04you know it's almost 70% of patients
  • 07:06after the surgical resection.
  • 07:08So overall,
  • 07:09with the typical therapy currently,
  • 07:11you know the three year survival
  • 07:14is still less than 20%.
  • 07:16And, uh, in about a 10 years ago that,
  • 07:20uh, one first therapy was approved,
  • 07:22which is arrive in a, you know.
  • 07:25So resonator is terrorism Chinese
  • 07:27inhibitor and so that only showed moderate
  • 07:30effect in the small number of patients.
  • 07:33And all only the pasta two or three years
  • 07:36we have seen in another momentum which
  • 07:39is a checkpoint inhibitors role in the
  • 07:42treatment of other Cellular Carcinoma.
  • 07:44So we can talk a little bit more about the
  • 07:48checkpoint inhibitors in nice to feel slides.
  • 07:52So first of all,
  • 07:53these are the tires in kind is
  • 07:55currently being tried and approved
  • 07:57of tested in hypothetical carcinoma.
  • 07:59So rifle name wrecker ever made
  • 08:02neighbor which is basically another
  • 08:03version of the revenue and then
  • 08:05the other tools also tested.
  • 08:07But all of those types and kindness is.
  • 08:10It's really more broad inhibitors
  • 08:12rather than specific target,
  • 08:13so it's been believed.
  • 08:15You know those kind of.
  • 08:17You know the haters.
  • 08:19But you hate this kinase activity,
  • 08:22and you know inconsequence surprised
  • 08:24to know vascularization or really
  • 08:27play some sort of anti angiogenesis
  • 08:30effect so you know we have
  • 08:33actually also shown that you know,
  • 08:35for example, survivor name can also
  • 08:38interfere. The mitochondria is in a
  • 08:41particular carcinoma. In other words,
  • 08:43they're probably multiple mechanism for
  • 08:46the tyrosine kinase mechanism of action.
  • 08:49We have had our cars in them and I would
  • 08:52like to show you this slice and this is a uh,
  • 08:56you know, you know, uh,
  • 08:58the slides made by a charmer and Addison,
  • 09:01so this tell you,
  • 09:02you know how you know the therapy.
  • 09:04You can see the chemotherapy,
  • 09:06you know this is for cancer as a whole.
  • 09:09So one thing you can tell you
  • 09:11can see the email server which
  • 09:13represented by this green line is,
  • 09:16you know, certainly is superior
  • 09:17to any other sort of monotherapy.
  • 09:20However, if you combine the
  • 09:22Indian up check behind it,
  • 09:24therapy with more targeted,
  • 09:26you know genomically targeted agent,
  • 09:28you can see dramatic improvement,
  • 09:30so that's probably why you know the
  • 09:33email therapy attract such attention.
  • 09:35I think as you know over the past
  • 09:38decade we have been talking a lot about
  • 09:40the email therapy and particularly
  • 09:43the clinical application of female
  • 09:45checkpoint inhibitor really created
  • 09:48this momentum for cancer therapy.
  • 09:51Alright,
  • 09:51so with that background,
  • 09:53will see you how to look at the liver.
  • 09:56So what is the unique aspect unique
  • 09:59aspect of carcinoma?
  • 10:01So this I have to say we have not much
  • 10:04understanding on the overall immunology
  • 10:07or you know biology of the liver as
  • 10:11well as the hypothetical question.
  • 10:13So we were had.
  • 10:14It has been considered as a
  • 10:16immunologically tolerant organ,
  • 10:18and that means you know there
  • 10:21are data shows all the humans.
  • 10:23Activity cells actually are
  • 10:25eliminate in liver.
  • 10:26In other words, in the liver is,
  • 10:29well, very well protected.
  • 10:31And the dancing in the in deliver,
  • 10:34you know you have a wait.
  • 10:37There are a lot of energy
  • 10:39and presenting cells.
  • 10:40However,
  • 10:41there are data shows.
  • 10:42Most of the antigen presenting cells
  • 10:45actually induced or you know Tara
  • 10:47Jennifer phenotype rather than,
  • 10:49you know,
  • 10:50activate the cellular immunity and as
  • 10:52well as I mentioned earlier majority
  • 10:54for the hyper Cellular carcinoma is
  • 10:56actually rising from the background
  • 10:59of chronic viral infections,
  • 11:00hepatitis B, hepatitis C.
  • 11:02So this has been known.
  • 11:04All has been extensively studied.
  • 11:06Long standing chronic very affection,
  • 11:08actually rendering T cell exhaustion.
  • 11:10So this is another challenge is we
  • 11:13have to think about when we talk
  • 11:16about how to develop more effective
  • 11:18immunotherapy for Heather Cellular
  • 11:20Carcinoma so that you know that.
  • 11:24Also HTC, you know it has a very
  • 11:27higher expression of PD L1.
  • 11:29You know?
  • 11:30P DL1 is alignment for PD one.
  • 11:33So those engagement
  • 11:34actually surprised that I.
  • 11:36Activated you know anti tumor teazles.
  • 11:39That's probably why this is,
  • 11:41uh,
  • 11:41you know how you use.
  • 11:43You know you can actually use
  • 11:46checkpoint inhibitor to block this
  • 11:48interaction between TDLPDL One and 51.
  • 11:51The other aspect is there are many
  • 11:53regulatory T cells in hypothetical carcinoma.
  • 11:56So we have shown you know that
  • 11:59there is a higher number of
  • 12:01regulatory T cell as well as as
  • 12:04myeloid derived.
  • 12:06The tumors surprise if TS LMDS sees,
  • 12:08so those are the challenges
  • 12:11we have to consider.
  • 12:12And then you know when put
  • 12:15all these things together,
  • 12:16you know the probably we need
  • 12:18to think about the multiple
  • 12:21strategy to really develop a more
  • 12:24effective immunotherapy for HTC.
  • 12:26And now you know,
  • 12:28staying is more broadly.
  • 12:29Currently in clinical application
  • 12:31also has been very exciting.
  • 12:34Is a checkpoint in Hibbett are
  • 12:36you see the impact will check
  • 12:39component inhibitors really is act
  • 12:42on multiple spy type of the middle.
  • 12:45You know regulation most
  • 12:47specifically blocking PDYPTL.
  • 12:49Interaction.
  • 12:49So the other so you can think
  • 12:53about is to really eliminate.
  • 12:56Also at least inhibit
  • 12:58regulatory T cell in the cancer,
  • 13:00and the other is so more exciting.
  • 13:03You know,
  • 13:04that's what I'm going to
  • 13:06talk about a little bit more.
  • 13:09Is adoptive cell transfer therapy
  • 13:11for those adoptive transfer therapy.
  • 13:13We really can't think about Tuesday.
  • 13:16Why is non antigen specific, you know?
  • 13:19Autologous tiles,
  • 13:19for example, in case hours,
  • 13:21all tumor infiltrating the
  • 13:23emphasize and then the other,
  • 13:25is actually another modified
  • 13:26version of adoptive cell transfer.
  • 13:28Transfer therapy is engineering T cells,
  • 13:31so this will be the car T cells.
  • 13:34Also, I will spend a little bit time to.
  • 13:37Another thing is,
  • 13:38think about if we can identify
  • 13:40tumor specific antigens.
  • 13:42We can think about is to use to developers.
  • 13:46So actually this probably more ideal
  • 13:48because you will be able to induce.
  • 13:51Kilmer space saving other immunity.
  • 13:52So we had done some working in this area
  • 13:56so I will show you what we have found.
  • 13:59OK, this is just the introductory
  • 14:02slide you know for what we are.
  • 14:05You know, you know,
  • 14:06for this audience you probably
  • 14:09all very well now what you know,
  • 14:11the started for email.
  • 14:13Check it.
  • 14:14Check Point inhibitor therapy for
  • 14:16example is really blocking these two
  • 14:19inhibitory molecules PD L1 and the CD L4,
  • 14:21so those are inhibitory.
  • 14:23So basically with the variables develop
  • 14:25all kinds of Therapeutics called
  • 14:28checkpoint inhibitors is blocking those two.
  • 14:30Inhibitory pathways under treated
  • 14:33as a way to activate the T cells.
  • 14:37So for liver cancer, as you know,
  • 14:39at least right now I mean this.
  • 14:42You know the update is I say
  • 14:44this is updated today.
  • 14:45Maybe it will be changed.
  • 14:47You know very soon as well,
  • 14:49because for right now we have
  • 14:50at least three FDA approved.
  • 14:52The trackpoint inhibitor is when
  • 14:54the pipe and temporal needle and
  • 14:56the other one is against the
  • 14:57CTLA is I believe mad.
  • 14:59So those are three FDA approved and
  • 15:01certainly there are many in the pipeline.
  • 15:03You see how busy this lies is,
  • 15:06you know you see those.
  • 15:07Those are the current.
  • 15:09In Eagle trials registered away is,
  • 15:11you know, a clinical trial data.
  • 15:14And those are the space three trials
  • 15:17with all kinds of transforming hitters,
  • 15:20so you will notice is the most of
  • 15:22the trials actually is looking
  • 15:25at the combination therapy,
  • 15:27particularly with tyrosine
  • 15:28kinase inhibitor also entity.
  • 15:30EG Eiffel you hitters as well as
  • 15:33the combined with some, you know,
  • 15:35a local regional therapy or
  • 15:36surgical resection so you can
  • 15:38see the estimated releasing date.
  • 15:40You know complete, complete,
  • 15:41complete completion date.
  • 15:42It will be in the next year or two.
  • 15:45We're going to see a lot about you
  • 15:48know the you know the results you know
  • 15:51related to checkpoint inhibitors for HTC,
  • 15:53so this is really you know the
  • 15:55exciting part of you know for
  • 15:58the in this field right now.
  • 16:00So now let me try to talk about a
  • 16:03little bit more like other approach
  • 16:05which is active investigation by
  • 16:08quite a number of groups in the world.
  • 16:11So which is really adopted cell transfer,
  • 16:14you know, therapy.
  • 16:15So for those you know this concept
  • 16:18was in the really knew.
  • 16:19So the first tumor,
  • 16:21infiltrating lymphocytes, are paid.
  • 16:22As you may know,
  • 16:24it was divided decades ago by
  • 16:26Rosenberg at NCI.
  • 16:27So in that case you know he isolated tail.
  • 16:31Infiltrating lymphocytes for isolated
  • 16:33fuel from Melanoma patients and
  • 16:35reinfused ourselves back to the patient.
  • 16:37But now over particular,
  • 16:39over the past few years,
  • 16:41more and more evidence point of the
  • 16:44really efficacy of this sort of therapy,
  • 16:47and also most recently you can actually,
  • 16:50you know culture.
  • 16:52Certain cells in X-ray invaluable in
  • 16:54Mitchell and stimulative certainty cells,
  • 16:56and to induce so-called settle
  • 16:58toxic T cells and then refilled.
  • 17:01So cells back to cancer patients.
  • 17:04And another is really the
  • 17:06innate immune response arm,
  • 17:07which is in case else,
  • 17:09you know by definition in case else
  • 17:12it's the main biological function
  • 17:14is really as a surveillance.
  • 17:16Places Seville's role in the
  • 17:18party at that will check out
  • 17:20all the auto kill tumor cells.
  • 17:23So there are a lot of attention
  • 17:25on empty cells as well,
  • 17:27so I will share a little bit of data we
  • 17:30have written that down within himself
  • 17:32and of course the excitement coming
  • 17:35from the engineer T cells which is party.
  • 17:38So those are we'll just talk back so.
  • 17:41So let's first to look at it.
  • 17:44This how we can induce more.
  • 17:46After specific immunity.
  • 17:47Alright,
  • 17:48so in this case you know
  • 17:50you probably won't find out.
  • 17:52Is there any tumor antigen or is
  • 17:54there any specific tumor energy
  • 17:56you had asserted carcinoma?
  • 17:58So indeed,
  • 17:58you know over the years we know
  • 18:01Alpha fetal protein is one of the
  • 18:03first tumor antigen associated
  • 18:05with hypothesize are carcinoma.
  • 18:07However with multiple different
  • 18:08groups of trying to use Alpha
  • 18:10Fetoprotein for email therapy,
  • 18:12the results are really mcleese mixed
  • 18:14because maybe the Alpha fetal protein is.
  • 18:17Really highly expressed in embryo
  • 18:19Genesis and also in some other
  • 18:21highly proliferating cells,
  • 18:23so it's great it louder challenge
  • 18:26so this slide show that you over
  • 18:29the years and actually for hyper
  • 18:31disorder carcinoma.
  • 18:33Fortunately we do with you know
  • 18:35we did find a variable to render
  • 18:38gene called glide different three.
  • 18:41You can see this is likely country
  • 18:44expression.
  • 18:44You know fairly specifically
  • 18:46specifically expressing.
  • 18:47Carcinoma So what is great because
  • 18:50way so this clapping series X you know
  • 18:53it's you know it's an X chromosome,
  • 18:57so it's highly expressed in the Amber
  • 19:00Genesis and stuff you know in adult
  • 19:03issue and then re over express in more
  • 19:06than 90% of hypothesized personal.
  • 19:08So unfortunately we really do
  • 19:11not understand the role of the
  • 19:13life agents rate at the moment.
  • 19:15I mean I had two graduate student
  • 19:18had dedicated their season.
  • 19:19Trying to figure out what is the
  • 19:22biological role of glycogen 3.
  • 19:24After disappointing,
  • 19:25you know we have say it looks like
  • 19:28the gladness re somehow interact with
  • 19:31other growth factor and to create a
  • 19:33micro environment on the cell surface
  • 19:36and it would direct the downstream
  • 19:38safely to regular cell growth.
  • 19:40Interestingly enough gladly constraint.
  • 19:42And now there is a general like a genetic
  • 19:45syndrome which is a Simpson Globby,
  • 19:47you know a Homer syndrome.
  • 19:50I have never seen temptation like
  • 19:52this is only rated from textbook,
  • 19:54so this is a syndrome actually.
  • 19:56Is that loss of function of by pigments
  • 19:59rate so you can see it in overall if
  • 20:02you look at the syndrome is it looks
  • 20:05like deletions of glycogen straight
  • 20:07create some sort of overgrowth.
  • 20:09Alright,
  • 20:10so this you know that it has been
  • 20:13confirmed in the now customize.
  • 20:15Look at this.
  • 20:16Now customize the embryo is just
  • 20:18the much larger than the white type
  • 20:20so this is almost the antithesis
  • 20:23for us to think about.
  • 20:25If it's a delight,
  • 20:26beacon three can somehow as you
  • 20:28know looks like tumor antigen mold,
  • 20:31cancer formation but somehow during
  • 20:33development is actually typing.
  • 20:34Three seems to act as surprising
  • 20:36function and to check the development.
  • 20:39You know during the.
  • 20:40And then if you look at it,
  • 20:42overall expression pad network IP gains
  • 20:44rate there, it's really you know,
  • 20:46three major organs expressed,
  • 20:48blindness Ray and organize.
  • 20:49Well,
  • 20:49I you know the highest one
  • 20:51actually is a play center, right?
  • 20:53So the play center has highest
  • 20:55expression of the clapping.
  • 20:57Answer it,
  • 20:57but that's why I think that just last
  • 21:00month I went to see and Harvey Doctor Harvey,
  • 21:03Claimant,
  • 21:03who is really the leading expert in press
  • 21:06enter here at you and I talked with him.
  • 21:09So I said, You know?
  • 21:11Let's figure out what is it.
  • 21:13Skype,
  • 21:13even serious role in place and are right.
  • 21:16I know what the other organisms,
  • 21:19fatal liver you see.
  • 21:20This looks pretty express
  • 21:22and then also fatal lock.
  • 21:24And then I add other tissue.
  • 21:26Long is completely zero expression.
  • 21:28I thought you know like make
  • 21:30sure they were tissue.
  • 21:31Now normally they do not express flight
  • 21:34PS3 but however is expressed in.
  • 21:37Is the you know the email,
  • 21:39his chemistry, you see all the you know,
  • 21:41the cancer cells expressed those things.
  • 21:44You know the proteins on the cell
  • 21:46membrane and actually this is one
  • 21:48of the market you know in full
  • 21:50pathologist will liver pathology.
  • 21:52Sometimes when we question
  • 21:53about whether this is cancer or
  • 21:55not, we tend to do email history,
  • 21:58chemistry to confirm, you know,
  • 21:59to help us to make a diagnosis of hypothesis,
  • 22:02elder personal. Alright,
  • 22:04so this is also we checked with all
  • 22:07the different cancer cell lines,
  • 22:10tissues and both at mouse and human.
  • 22:13So Interestingly, the mouse,
  • 22:14iPad or cellular carcinoma does not express.
  • 22:17Could I pick three and only in the
  • 22:19humans of different cell lines we
  • 22:22have checked and the overexpressed
  • 22:24clapping in the normal hypothesize.
  • 22:27But does not express,
  • 22:28so this is a because of the mouse
  • 22:32had a salad or carcinoma does not
  • 22:35express quite happy constraint.
  • 22:37Actually created item vantage for us to
  • 22:41create some model to study this date.
  • 22:44Potential human or therapy.
  • 22:45Because when we talk about it,
  • 22:47we want to do emails Arabic.
  • 22:50You know we have to create a model and
  • 22:53see how we can test some of our ideas.
  • 22:56So this is just the last, you know,
  • 22:59sort of a last slide of Truth demonstrated
  • 23:02the collective Pickens Research,
  • 23:04you know, expression and its role in,
  • 23:07you know.
  • 23:07You can see it so here is, you know,
  • 23:11almost exclusively expressed in HTC and
  • 23:13the same time you can see it is correlation.
  • 23:17It seems to be correlated with
  • 23:20worst personalities.
  • 23:21So now,
  • 23:22as I mentioned,
  • 23:23that has turned to see how we built
  • 23:25this model because we have over
  • 23:27the years and longer we built this
  • 23:30model which is the Bob semis totally
  • 23:32immune are committed and then we
  • 23:34have this person normal cell like
  • 23:36original derived from optimise.
  • 23:38So as I mentioned earlier so this cell
  • 23:41line does not express any guy picking three.
  • 23:44So what we did is to overexpress human
  • 23:46like Bacon three in the mouse outline
  • 23:49and then inoculate through this minus.
  • 23:51And it will see you know whether
  • 23:54we can have a model to test the,
  • 23:56you know anti tumor immunity.
  • 23:58So this is,
  • 23:59you know just a slide to show you here.
  • 24:03For example whenever you introduce this
  • 24:05cell line to the opposite minus you see.
  • 24:08This is why type spleen and then
  • 24:10this is the tumor. Very mouse split.
  • 24:13This is a bother significantly
  • 24:15large sometimes you know obvious
  • 24:17between 3 to 5 four,
  • 24:18so the indicating indeed the
  • 24:20Bobbsey might will see this.
  • 24:22Far into Hypersolar Carcinoma
  • 24:23ISO for in the summer.
  • 24:25Hawk trying to Mount immune response,
  • 24:27but at the end the tumor wins because
  • 24:30within two or three weeks there is.
  • 24:33You know, big tumor produce.
  • 24:34Either,
  • 24:35you know when we do the subq injection
  • 24:37or we do the also topically rejection,
  • 24:40you can quickly develop this HTC in the
  • 24:43box emails and then we look at the worst.
  • 24:46The cells in the privacy you know.
  • 24:49Certainly we have all the different type of.
  • 24:52Salsa peace out most of the T cells,
  • 24:55but actually if you will be
  • 24:57further phenotype of those cells,
  • 24:59most of those actually there is
  • 25:01significant regulatory T cell
  • 25:02components and also MD SC components,
  • 25:05so indicating so in this box model.
  • 25:07Indeed there is email,
  • 25:09surprised phenotype and so that's
  • 25:11why the tumor wins and two produces.
  • 25:13So we think this probably is very
  • 25:16good model for us to look how we
  • 25:19can develop a model to test some
  • 25:21of the ideas we wanted to detach.
  • 25:24'cause I'm wiser, circular.
  • 25:25I've seen the others.
  • 25:27We want to also think about how
  • 25:30to manipulate manipulate the
  • 25:32different immune system and to check
  • 25:34to see if we can have some more
  • 25:37effective and the tumor immunity.
  • 25:39So first you know, as I mentioned,
  • 25:42the clapping and straight,
  • 25:44you know this highly expressed tumors.
  • 25:46It'll specific energy.
  • 25:47So when we did that,
  • 25:49go in the traditional method that you say,
  • 25:52OK, we will just be recreated.
  • 25:54Called in and trying to you know,
  • 25:57you know,
  • 25:58build recombinant protein both
  • 25:59in front bacterial from the East,
  • 26:01and then use the protein.
  • 26:03As you know energy and to email those
  • 26:06mice so this data show you just show
  • 26:09you after we immunize those mice,
  • 26:12and then we check,
  • 26:13you know,
  • 26:14we did not really see any significant
  • 26:16changes into in terms of humor
  • 26:19side before and after vaccination,
  • 26:21and then we check the cellular immunity
  • 26:23and humoral immunity and overall.
  • 26:25Conclusion from that is we
  • 26:27tried multiple times.
  • 26:28If we just inject eclectic and straight
  • 26:29to the mice with another really created any,
  • 26:32I need two more community in this,
  • 26:34at least in this mouse model.
  • 26:36And then we say, you know, you know.
  • 26:39Then we check the tumor within
  • 26:41our really see any you know,
  • 26:43tumor infiltrating emphasize as well.
  • 26:45So then we just tested this
  • 26:47idea to see how about.
  • 26:49You know,
  • 26:50we think that different approach.
  • 26:51So why I'm proud that we feel is maybe
  • 26:54we should think about how to allow the
  • 26:57light beacon St guide to the real,
  • 26:59you know the immune organs in case like go
  • 27:02to the split or go through the lymph node.
  • 27:05So one idea we did try,
  • 27:08you know at that time sort of
  • 27:10thought about it is you know,
  • 27:12how about we conjugate?
  • 27:13Collecting three with lymphocytes so using
  • 27:16this chemical I do not try to pronounce it,
  • 27:18you know.
  • 27:19CC and uses conjugate.
  • 27:21Basically we conjugated the glide Pickens,
  • 27:23reporting with lymphocytes.
  • 27:24So that hypothesis hypothesis was to use in
  • 27:28the table in full size carry this protein,
  • 27:31the energy and the lymphocytes has
  • 27:33this natural homing capability and
  • 27:36they will go to the right email.
  • 27:38Oregon.
  • 27:38Maybe that will excite, you know,
  • 27:41to initiate, and the tumor immunity.
  • 27:43So actually that's indeed it was the case.
  • 27:46So this is just to show you.
  • 27:49You know we conjugated and emphasize with,
  • 27:51you know, with the protein,
  • 27:53and then we inject, you know,
  • 27:55enjoy the back.
  • 27:56Those info size you know to the mice,
  • 27:59and then we look at the tumor.
  • 28:01You fancy the conjugated what
  • 28:03so you can efficiently surprise
  • 28:04the tumor growth and this will
  • 28:06different treatment protocol.
  • 28:07You can see it's really time dependent,
  • 28:10and so this is very exciting.
  • 28:12And then we say, OK,
  • 28:13let's check it was, you know all
  • 28:15the cells and different components.
  • 28:17So this just to show you which acted like.
  • 28:21This is an ileus part,
  • 28:22definitely compared to the control,
  • 28:24you can see a lot of activated T cells.
  • 28:27More importantly exciting
  • 28:28is after this congregation.
  • 28:30Actually we can see the lymphocytes
  • 28:32actually infiltrated into the tumor.
  • 28:34So this is a boy.
  • 28:36We believe.
  • 28:36This is probably why we you know this
  • 28:39sortable bikes vaccination approach works.
  • 28:42So again,
  • 28:43this is just another different data.
  • 28:45I you know to show you
  • 28:47you know how this country,
  • 28:49you know that just this is
  • 28:51just demonstrated indeed,
  • 28:52although the fact that we have seen
  • 28:54is related to the conjugation between
  • 28:57the lymphocytes and the collective
  • 28:59history protein so so for that this
  • 29:01is but anyways summarize this data,
  • 29:03so we think you know later
  • 29:05on we actually purified we.
  • 29:07Initially we just use the total invoice size,
  • 29:10but now actually we test it's just isolated.
  • 29:13These results and it was a tease out,
  • 29:16so this is a work is ongoing.
  • 29:18So basically is what our working
  • 29:20model of our working hypothesis.
  • 29:22We want to continue to try.
  • 29:25That is we are using T cell
  • 29:27as a carrier for tumors,
  • 29:29therapeutic vaccine delivery.
  • 29:30So this is where we're testing
  • 29:32this in hypotheticals.
  • 29:33Normal,
  • 29:34I think there's a possibility so those
  • 29:36can be become a sort of platform 40 sell.
  • 29:40You know like you know.
  • 29:42So this is a work I'm going
  • 29:44to get my laboratory.
  • 29:46Now let me you know,
  • 29:48share it with you or some of the other
  • 29:51things which will also cellular therapy
  • 29:53related and this one is the Carty.
  • 29:56So we didn't develop find,
  • 29:58you know the valuable gladness
  • 30:00riccardi cells.
  • 30:00So this is just a diagram to
  • 30:02show you we use the landing
  • 30:05viral vector and then basically
  • 30:07created this Jeep 3 car T cells.
  • 30:09So right now we created both in the T cell.
  • 30:13Sales and also we you know we
  • 30:16created this platform using NK
  • 30:18cells which I will talk a little
  • 30:21bit more in the next few minutes.
  • 30:24So those hasn't been shown.
  • 30:26You know this is another diagram.
  • 30:29Other group also developed this.
  • 30:31Party and then they use a different regions.
  • 30:34They're focusing on the sea.
  • 30:35Turn up the protein and then we
  • 30:38decided to focus in on the end
  • 30:40terminal because the end terminal
  • 30:42is on our side of the cell
  • 30:45membrane with believe you know,
  • 30:46the in terminal may have better access,
  • 30:49so this is our party.
  • 30:51Construct and then we.
  • 30:52Basically this is also called a third
  • 30:55generation that you know a platform.
  • 30:57We divided both in the lending
  • 30:59virus as well in collaboration with
  • 31:01another factor that rockers you know,
  • 31:03don't do so.
  • 31:04He has a virtual various platform.
  • 31:07We actually work together and also
  • 31:09make made made this construct in the
  • 31:12regional various platform as well.
  • 31:14So then you know, testing again,
  • 31:16test this party in in Rachel.
  • 31:18So it seems to work very well.
  • 31:21And also we test it in the animals.
  • 31:24You know this just show you a different
  • 31:27types of satellites and this is actually
  • 31:301545 is immortalized hypothesize,
  • 31:32set, immortalized levers, allies,
  • 31:33developer in my laboratories of
  • 31:36the basis serve as a control.
  • 31:38You can see though.
  • 31:39Also the target because this
  • 31:41tells you know does not have the
  • 31:44you know the the 1545 cells does
  • 31:46not have a clapping's resort.
  • 31:48There's no target and the others
  • 31:50you know the commonly used a
  • 31:53cellular carcinoma cell address
  • 31:54themselves and those type 2 so
  • 31:57show significant killing effect.
  • 31:58So this is this is in cell culture
  • 32:01and then then we also decided to
  • 32:04introduce it into into animals.
  • 32:06And indeed you know they were treated.
  • 32:09Those animals this.
  • 32:10Our volume compared to the controls.
  • 32:13And at the Cardinal applicants repartee.
  • 32:15Indeed, so very effective,
  • 32:17very effective,
  • 32:18and also lost almost two months.
  • 32:20You know, this is really exciting,
  • 32:22and I think we pretty much feel
  • 32:25very confident in this construct.
  • 32:27But now The thing is, you see,
  • 32:29you know,
  • 32:30certainly eventually will need to bring
  • 32:33this to human trial and to see if this this,
  • 32:36you know construct will be actually
  • 32:38showing the effectiveness in human.
  • 32:40So that's certainly you know need a lot.
  • 32:43Effort and also some other you know
  • 32:46funding and that will get this stuff.
  • 32:49So this is a really you know,
  • 32:52exciting and also we tested the similar
  • 32:54Carty using PDX mouse model because
  • 32:56to develop that you know that's
  • 32:59another thing I mentioned earlier.
  • 33:01We are very happy to share
  • 33:03with people you know working on
  • 33:05hyper disorder carcinoma also.
  • 33:07Edit cancers as well.
  • 33:09But we build a multiple PD exercise and
  • 33:12over the years not only we have the PDX MI,
  • 33:15so we also have the corresponding cell card.
  • 33:18Sterilize so you know,
  • 33:19for you know for both liver cancer,
  • 33:21pancreatic cancer,
  • 33:22and we also have other tumors PDX as well.
  • 33:25So this is just to give allow
  • 33:27us in future to developer mode.
  • 33:30You know, you know,
  • 33:31I would say precision of personal
  • 33:33email therapy because this way
  • 33:35we can see if we can derive some.
  • 33:37More specific hydrogen,
  • 33:39and from this particular patient,
  • 33:40and then from that platform to
  • 33:43build a specific artifice, patients,
  • 33:45certainly, that's what he,
  • 33:46what you know in the future.
  • 33:48Endeavor for that.
  • 33:49Alright, so the last section of my talk,
  • 33:52you know it's just one share the lights.
  • 33:55Turn attention to the you know
  • 33:58another inmate.
  • 33:58Email cells which is encased in HTC,
  • 34:01so you probably ask why we are
  • 34:04so interested in today.
  • 34:05So if you look at the.
  • 34:08The human body.
  • 34:09The organ contains the highest
  • 34:10numbers in case ours is a liver.
  • 34:13If you look at the liver almost 2%
  • 34:15of the Leeward nucleated cells are
  • 34:17in case of you probably say it's very,
  • 34:20you know, surprised you know.
  • 34:22Actually it's you know, but it does.
  • 34:24In case I'll do indeed work is very I.
  • 34:27I would say to say minimum
  • 34:29is poorly understood.
  • 34:30Alright, so however, over the years,
  • 34:32so you see back to even 1990s.
  • 34:35So people already shown
  • 34:36that if that you tested.
  • 34:38In case files from the hypothetic are
  • 34:41still like compared to the non tumor cells,
  • 34:45they show the empty cells.
  • 34:47Had this dysfunctional in terms,
  • 34:49they have lice killing effect
  • 34:52and this also reached 2013.
  • 34:54Another group also reported this,
  • 34:56but very few later Richard to really show.
  • 35:00It's a strong evidence.
  • 35:01Say what is it?
  • 35:03The NK cells function in
  • 35:04hypo thyroid carcinoma.
  • 35:05Alright, so as I mentioned,
  • 35:07it's a such a big pop.
  • 35:09You know they have more.
  • 35:11In case else that many other
  • 35:13lymphocytes in the liver.
  • 35:14So that question is how we can find
  • 35:17that was in his house would do in
  • 35:20those are the others, you know.
  • 35:22So this is some people also just very reason.
  • 35:26You know shredded.
  • 35:27They were recently recorded.
  • 35:29If you expand the NK cells and then you
  • 35:32know you feel so badly in the mouse model,
  • 35:36actually expand it out.
  • 35:38In case else does precise anti
  • 35:40tumor activity in mouse models.
  • 35:42So this will be like an invisible experiment.
  • 35:46So it's just indicate you know NK cells
  • 35:49after expansion they still maintained.
  • 35:51Activity I think that's a very
  • 35:53critical for us to talk about.
  • 35:55You know,
  • 35:56if we ever wanted to make in case
  • 35:58out to PSR building platform,
  • 36:00we have to make sure the expanded
  • 36:02engage cells would hire that function.
  • 36:05Right, This is, you know,
  • 36:06a couple years ago and this is also
  • 36:09in collaboration with another faculty.
  • 36:11Don't found in rockers,
  • 36:12and so we decided.
  • 36:14Just let's start, you know,
  • 36:16some of the basics of NK cells in HTC.
  • 36:19So what the platform we use so is,
  • 36:22you know we,
  • 36:23you know we had a transplant program there.
  • 36:25So we basically for any HTC transplant
  • 36:28fever so will get the tumor and then we will,
  • 36:31you know,
  • 36:32isolate NK cells from the tumor and isolated.
  • 36:35You know from the adjacent that you know
  • 36:37zone we call the adjacent alone from the,
  • 36:40you know,
  • 36:41the Beamer tissue and also isolated
  • 36:42the NK cells from the non tumor.
  • 36:45You know,
  • 36:45like you said,
  • 36:46Mount tumor distance period I
  • 36:48DS 5 centimeter away from the
  • 36:50tumor and we isolate all those NK
  • 36:52cells and then we expand it.
  • 36:54Also in case cells and that's all what
  • 36:56we do in the same time we get the blood.
  • 36:59You know patients per for blood in case else.
  • 37:02And then you know to compare
  • 37:04with different orders at least.
  • 37:06Oh groups and see what's the function
  • 37:08or was the basic plan in case out.
  • 37:11So what do you know?
  • 37:13After we did that so we did quite
  • 37:15a number page and yet you know the
  • 37:19most common transplant deliveries,
  • 37:20hepatitis C liver and also the other,
  • 37:23is alcohol induced cirrhosis?
  • 37:24And so that's how we literally focusing
  • 37:27on HC deliver an also alcoholic.
  • 37:29So with that will do the functional I
  • 37:32say and then we did a lot of irony.
  • 37:36Take try to see you with any changes in
  • 37:39those cells and then later out toward you.
  • 37:43Know quantitative PCR to
  • 37:45determine certain specific jeans.
  • 37:47So this. All right?
  • 37:50OK, thought to make a Long story
  • 37:53short because the timing so I will
  • 37:56not get into the killing I see.
  • 37:58So basically what we find is that
  • 38:00there are significant difference
  • 38:02between all the NK cells we
  • 38:04isolated from different liver.
  • 38:06So that might be interested enough.
  • 38:08It's TV related liver NK cells and
  • 38:10the alcohol related liver cancer.
  • 38:12They are also different in terms of function.
  • 38:15You know they have light
  • 38:16skin activity in alcohol,
  • 38:18but how interesting they have
  • 38:20even higher connectivity.
  • 38:21HC way.
  • 38:21Which isn't really surprising to us compared,
  • 38:24you know.
  • 38:24So we that suspension with it artistic
  • 38:27and then you got all the data,
  • 38:29but we still have sitting on large amount
  • 38:32of data is still waiting to be analyzed,
  • 38:35but at least right.
  • 38:36The moment I can share,
  • 38:38you know this really very fairly recently.
  • 38:40Just few months ago with that we
  • 38:43actually identify the CD 62 L of
  • 38:45course share cell or I also liked.
  • 38:47So this has been really
  • 38:49significantly changed.
  • 38:50You know, between all those different.
  • 38:52So here the summary.
  • 38:53We can see really tabley how
  • 38:56for whatever reason in NK cells
  • 38:59isolated from HC be related.
  • 39:01HTC you know the HC way related
  • 39:04HTC you actually have a higher
  • 39:06expression of selected and.
  • 39:08However in the alcohol related NK
  • 39:10so you have lower expression so
  • 39:12this will be the hours they put
  • 39:15all the guys average as a baseline.
  • 39:17So it's really interesting.
  • 39:19You know how this dichotomy,
  • 39:21which by itself may not be very
  • 39:23surprising because the difference
  • 39:25is if you look at the Histology
  • 39:28between the cancers arising from
  • 39:30HCV and the cancers arising from.
  • 39:32Alcohol, the big difference is is you know,
  • 39:35in the HTV Kaiser or background
  • 39:37deliver as well.
  • 39:38You always have the inflammatory
  • 39:40activity going on.
  • 39:41In other words,
  • 39:42you have the inflammatory Emilio
  • 39:44within those levers,
  • 39:45which in alcohol induced liver
  • 39:47cancer or liver cirrhosis.
  • 39:49You have minimum inflammatory activity.
  • 39:50So I think this is sort of
  • 39:53a exciting we want.
  • 39:54We are thinking about is right now.
  • 39:57It's really easy to further
  • 39:59and you know exactly what's the
  • 40:02actual role of the CD 62.
  • 40:04All out selecting the role in this
  • 40:06in case sales particularly is,
  • 40:08we wanted to see if the inflammatory
  • 40:11thing all hepatitis virus itself
  • 40:14contribute that to to that is different.
  • 40:17So this is our model right now,
  • 40:19so this is a working model we
  • 40:22are actively pursuing that.
  • 40:24As I mentioned,
  • 40:25this summarize with all our
  • 40:27current data with NK cells.
  • 40:29What do you see?
  • 40:30The in case are higher expression,
  • 40:33what actually they are?
  • 40:34Higher higher killing capacity.
  • 40:36So those are mainly from the
  • 40:38HC way steaming the HTC, right?
  • 40:41That's very interesting.
  • 40:42And however, in contrast,
  • 40:43the alcohol induced the
  • 40:45HTC that will lower CD 62.
  • 40:47And also lower kidding capacity.
  • 40:49So that's really, you know.
  • 40:51Allow us to think about if we ever do.
  • 40:54You know the next step in the future?
  • 40:57If we develop a therapy?
  • 40:59Maybe this is where if we understand
  • 41:01more about the Rover LCD,
  • 41:03you know you know the CD six tool and
  • 41:06we potentially can think about is you
  • 41:09know how we can turn this CD6 tool.
  • 41:12You know, lower expression one and to
  • 41:15get together them to be more active against.
  • 41:18HTC in the alcohol siding
  • 41:20because of all the HC way.
  • 41:22However,
  • 41:23I don't think for this stimulation
  • 41:25by CT62 will be good idea,
  • 41:28because if they already have a
  • 41:30pretty strong in as you know,
  • 41:33HC way you know for this way
  • 41:35they already have higher.
  • 41:37In case our activity and I was also
  • 41:40higher city 6 two expressions as well.
  • 41:42So we may have to think about if you know
  • 41:45what other strategies for HCA Induces.
  • 41:48So this is a working hypothesis.
  • 41:50As I mentioned,
  • 41:51we need to do more cases and
  • 41:54then to see if we can,
  • 41:56you know,
  • 41:56find something most specific and
  • 41:58to treat you know HTC this is
  • 42:01the bottom line is I think more
  • 42:03and more we see this trend which
  • 42:05is the tumor heterogeneity.
  • 42:07So we can outline some of the HTC altogether.
  • 42:10You know, apparently you know for HTC,
  • 42:13you know differently etiology.
  • 42:15It seems like to have very different.
  • 42:18Biology, so we thinking about it,
  • 42:20developing therapeutic strategy,
  • 42:22we have to really think about it.
  • 42:25Take that into a consideration.
  • 42:28But on the Furthermore,
  • 42:29I decide you don't mention that
  • 42:32those two testing that model
  • 42:33will be the movie thing.
  • 42:35It might be the HDD itself with
  • 42:37somehow engage the NK cells.
  • 42:39So this is our current very
  • 42:41preliminary is out here.
  • 42:43We basically culture the HIV positive
  • 42:45because we can grow hepatitis C in
  • 42:47those tumor cells and then do code stimulate.
  • 42:50We called priming the NK cells.
  • 42:52You know,
  • 42:52in this case we can just use another.
  • 42:55You know the NK cells and
  • 42:57testing the targets.
  • 42:58But you know, like a 50K562 cell lines,
  • 43:02so that sell you can
  • 43:04clearly see after coaching.
  • 43:06In other words, it's the priming
  • 43:08the monkey cells with hepatitis C.
  • 43:11Indeed,
  • 43:11in deals that you know NK cell functionality.
  • 43:15But now the question you know
  • 43:17come to the point.
  • 43:19I say even you have a strong
  • 43:22and creating activity in iPad.
  • 43:24HC,
  • 43:24they induce Apple cider carcinoma somehow.
  • 43:27The HCS, you know, take CC is still prevail.
  • 43:30So In other words.
  • 43:31So maybe this is by itself is not enough,
  • 43:35or maybe because remember
  • 43:36what we have so far.
  • 43:38Test data is all in the
  • 43:40individual isolated condition,
  • 43:42so this is really coming to the
  • 43:44point that there may be some other
  • 43:47immune surprising signal type in the
  • 43:49micro environment which even in visual
  • 43:51you know the NK cells maintain their.
  • 43:54In and out, and as you
  • 43:56know anti tumor activity.
  • 43:57But however in the.
  • 43:59Imil surprising micro environment.
  • 44:01Those are simply just cannot function,
  • 44:03so that's really tell us you know
  • 44:06when we deal with HTC is causing by
  • 44:09C virus versus you know like a narco
  • 44:12versus the alcohol costs the HTC.
  • 44:14We have to think about differently
  • 44:17so this is really, you know,
  • 44:19just the game with this idea in
  • 44:21a long days and we are actively
  • 44:24investigated the possibilities.
  • 44:25Alright so I think my time
  • 44:28is almost up and I think.
  • 44:30This will be the summary and I will say
  • 44:33you know you can see you know this.
  • 44:35From both you know,
  • 44:37patients and mice,
  • 44:38so there is an email response in HTC.
  • 44:40That's good sign.
  • 44:41That means that there is engagement between
  • 44:44the tumor and then they and ominous.
  • 44:46Not in the music thing,
  • 44:48so this created opportunity for
  • 44:49us to develop an you know,
  • 44:52better therapy so that it seems
  • 44:54like this email surprising cells
  • 44:56are dominant in HD situation and
  • 44:58about human patients and also adding
  • 45:00models and we demonstrate uniform.
  • 45:02Our own study.
  • 45:03Also,
  • 45:04many other people study also show
  • 45:06the tumor explanation of specifically
  • 45:08molasar PewDiePie scene and those car
  • 45:11T cells in case cells are indeed promising,
  • 45:13you know, a therapy.
  • 45:15And as you know.
  • 45:16Imagine that in the last section
  • 45:18of other than in case also we see
  • 45:22the differences between the HC way
  • 45:24induce the HTC and alcohol induced
  • 45:26ACC really tell us we have to think
  • 45:29about a personalized email therapy approach.
  • 45:32We have to really see if we can
  • 45:34separate those cancers with you
  • 45:36know what cording to their ideology
  • 45:39and then see developper you know
  • 45:42more effective therapy accordingly.
  • 45:44So now the challenge is, you know
  • 45:46there is another easy to get this done,
  • 45:49but I think many are really, you know,
  • 45:52not just in the confined within.
  • 45:54You know liver cancer.
  • 45:56Actually you can have this probably
  • 45:58multi other cancers as well.
  • 46:00I think this is one area we all
  • 46:02need to think about how to do this.
  • 46:05So certainly biomarker for
  • 46:07getting service absolute liking.
  • 46:08So even though therapy specially but
  • 46:10you know we're making inroads right now.
  • 46:13For example. Total tumor.
  • 46:14Antigen burden, you know.
  • 46:16Like the microsatellite instability is,
  • 46:17as you know,
  • 46:18has something demonstrate you know as
  • 46:20a predictive marker for more fighter
  • 46:22effective therapy for check for me.
  • 46:25Hey, better so that's the right direction.
  • 46:27But we still need to think about more
  • 46:30specific file markers for different
  • 46:31cancers and see how to get everything.
  • 46:34And then obviously we almost no.
  • 46:36There will be some sort of
  • 46:38tumor resistant coming out,
  • 46:39so that's where you know we need
  • 46:42to pay attention or be at least
  • 46:44consider the possibility of the.
  • 46:46That the veloppement of resistance and
  • 46:49its potential mechanism that causes high,
  • 46:51particularly women,
  • 46:52sing about personalized email therapy.
  • 46:54We all know that tumor Hitler genetix
  • 46:57really does dimension as well,
  • 46:59but and the other is is really, you know.
  • 47:03There is a very active field right now
  • 47:06is a target and you understand you
  • 47:08know the new energy income information
  • 47:11because that you can induce new
  • 47:14energy through radiation therapy.
  • 47:16Awesome tumor, like original local
  • 47:18regional therapy for hyper disorder,
  • 47:20carcinoma injecting chemotherapy,
  • 47:21agents of radiation, you know,
  • 47:23create a new energy and so those new
  • 47:26editions probably will be able to serve
  • 47:29as a target for us to develop more.
  • 47:33Like the potential 80 factor.
  • 47:36You know emails are paid approach OK,
  • 47:38so with that I would say you know
  • 47:41thanks to people who are working
  • 47:43in my life in especially houses MD,
  • 47:45PhD student, graduate student ID TS.
  • 47:47Who did all this in case our work and
  • 47:50Frank and layout with the post office.
  • 47:53We did also by tumor vaccine work so
  • 47:55have a lot of collaborations tools.
  • 47:57Thanks from you know by you know
  • 47:59really the priority institution
  • 48:01University of Florida and also ruckers
  • 48:03University and especially assigned
  • 48:05don't phone bill who is actually.
  • 48:07That they did not email about,
  • 48:09you know shared his eyes,
  • 48:11speaks parties with us,
  • 48:12and also the regional viral vector
  • 48:15system to build better effective
  • 48:17party and also my long term
  • 48:19collaborator animal clinic in the.
  • 48:21Again,
  • 48:22you know saying You know the Funding
  • 48:25Agency for support our work over
  • 48:27the years so I will stop there.
  • 48:29and I welcome questions,
  • 48:31ideas from the audience. Thank you.
  • 48:33Thank you all for your attention.
  • 48:37A chain thank you and thank you for a
  • 48:39terrific talk as well as you know the
  • 48:42work you're doing in this very challenging
  • 48:44malignancy and and folks should submit
  • 48:47their questions on the chat button.
  • 48:49But let me if I may start. Yeah please.
  • 48:52You very nicely identify the potential
  • 48:55differences in immune response between
  • 48:57alcoholic associated legacies as the alcohol
  • 49:00associated legacies as opposed to viral,
  • 49:02where given the rise in the role
  • 49:05of non alcoholic stay out of the
  • 49:08tightest Nash in HTC pathogenesis,
  • 49:10where do you see that aligning compared
  • 49:13to the models you now been studying?
  • 49:16Yeah,
  • 49:17so
  • 49:17my so that's that's a thing.
  • 49:20There are two issues here alright.
  • 49:22So yes, Nash Associated
  • 49:24Hypersolar Carcinoma, you know.
  • 49:25But these are epidemiologist study
  • 49:27has seen the rising incidence.
  • 49:29However, in practice we seem
  • 49:31very little of those cases,
  • 49:33you know, because you know,
  • 49:35I think that's the thing, because you know,
  • 49:38we use in the liver transplant as our model.
  • 49:41You know, we get those sites
  • 49:43where it without that issue.
  • 49:45I think this is it common.
  • 49:47We just do not have a lot of cases.
  • 49:50Actually human tissue cases.
  • 49:52I would say HTC arising
  • 49:54from the Nash patients.
  • 49:55To really it was studied in detail,
  • 49:58but there are, but they each center
  • 50:01they will have a really a fuel in.
  • 50:04The implication is very hard to to do.
  • 50:08The study.
  • 50:09Second point is you know if
  • 50:11you look at it in terms.
  • 50:14You look at the Histology so the
  • 50:16alcohol related cirrhosis probably
  • 50:18will have more resembles to the Nash
  • 50:20Associated Cirrhosis or carcinogenesis
  • 50:22because they both contributed.
  • 50:24For example, how alcohol.
  • 50:26Induce enough cirrhosis
  • 50:27and apparel carcinoma,
  • 50:29probably by messing up the metabolic
  • 50:31pathway within the liver, right?
  • 50:33So that's the same way you know.
  • 50:36Nice related thing.
  • 50:37It is basically part of
  • 50:39the metabolic syndrome,
  • 50:41so I would think if we want to guess,
  • 50:45I will assume those probably
  • 50:47more or less related to the to
  • 50:50the alcohol induced the HTC,
  • 50:52which is less information.
  • 50:54So that's the key difference if.
  • 50:56If we look at that issue,
  • 50:58you have very little information
  • 51:00in in Nash or alcohol related
  • 51:03liver injury or hepatitis C.
  • 51:05You always have this.
  • 51:07I'm going chronic inflammation.
  • 51:08I think that's the key difference.
  • 51:11I mean,
  • 51:11it was sort of a surprise was
  • 51:14may not be a good surprise.
  • 51:17Become actually see the NK
  • 51:19cells behavior differently
  • 51:20in there supposed to groups.
  • 51:23Interest rates are we don't know,
  • 51:25so you know to complete with complete
  • 51:28and know that yeah yeah,
  • 51:30so a number of our members of
  • 51:32audience of submitting questions.
  • 51:34I'll start Marcus bosenberg is
  • 51:36asking have you considered making
  • 51:38Carty to either hepatitis B virus,
  • 51:41hepatitis C virus antigens expressed on the
  • 51:43cell surface? So we haven't because the
  • 51:46reason we haven't you thought we really
  • 51:49worry about that kind of therapy as a
  • 51:51matter of fact, if you look at the viral
  • 51:54distribution in the liver, we need,
  • 51:56you know you have more very expression
  • 51:58in the non tumor cells and tumor cells.
  • 52:01You know, for example used in the liver.
  • 52:04Sample I haven't I disappear if
  • 52:06you look at the hepatitis B.
  • 52:09But you know, engaging expression in both
  • 52:12the tumor tissue Anna noun tumor tissue.
  • 52:14You tend to have higher expression.
  • 52:17In the non timit liver tissue.
  • 52:19So we really worry about it.
  • 52:21You know you created this type of a target.
  • 52:24You probably wipe out the liver
  • 52:26instead of locating the tumor cell.
  • 52:28So I don't see those are really
  • 52:31again assumption as part of the
  • 52:33say that's probably part of the
  • 52:35reason we haven't really seen.
  • 52:37People reporting are making those
  • 52:39hepatitis B or C in a car key yet.
  • 52:43Yes,
  • 52:43thank you so question from
  • 52:45damper chain are the the T cell
  • 52:48infiltrating cells in the tumor?
  • 52:50Are they different from the T
  • 52:52cells in the adjacent hepatitis
  • 52:54C infected liver and related
  • 52:56to that would be the effect of
  • 52:59immune checkpoint therapy on the
  • 53:01background liver vis-a-vis the tumor.
  • 53:03If they are different.
  • 53:06Right, so that's you know,
  • 53:07uh, you know greater point,
  • 53:09let's see first so you know,
  • 53:11for the first part,
  • 53:13so we didn't have to really
  • 53:15look at the overall generic key.
  • 53:17Infiltrating the middle size.
  • 53:18So we basically we did not sign the
  • 53:21whole T cells compared, you know,
  • 53:23the tumor and the non tumor liver.
  • 53:25So we really focusing on the NK cells
  • 53:28because we decided just focusing
  • 53:30on K cells and for different,
  • 53:32you know for number reasons
  • 53:34I mentioned so we don't know.
  • 53:36The total tease out difference between
  • 53:39humor and the surrounding labor.
  • 53:41In Hep C and also in alcohol cirrhosis.
  • 53:45So that's what they II you know.
  • 53:48A question is whether or not
  • 53:51you know the for this way,
  • 53:54the information you know driven
  • 53:57T cell weather.
  • 53:58You know you will be able to see
  • 54:01you know in the inflammatory
  • 54:03citing and how those are behave,
  • 54:05so we really don't know at this one.
  • 54:10Her thank you question from
  • 54:12under whose and are asking.
  • 54:14Given the differences in tumor cell
  • 54:16biology and immune micro environment
  • 54:17between HTC of different etiologies,
  • 54:20how do you think about modeling these
  • 54:22ideologies in animals to more reliably
  • 54:24test immunotherapeutic approaches?
  • 54:26Yeah, that's a great point, but I
  • 54:29think at this moment I don't see we have
  • 54:32a good model to test that, particularly.
  • 54:35You know if you look at the mouse model.
  • 54:38I mean we we. Also created hypothese,
  • 54:41transgender demise but we've
  • 54:42never been able to recapitulate
  • 54:44the similar similar pathogenesis.
  • 54:46Yes, if you have hepatitis C,
  • 54:48you know like a transgenic mice,
  • 54:50but somehow you do not have
  • 54:53all the information you would
  • 54:54otherwise see in the human model.
  • 54:57The reason is when you build a
  • 54:59transgenic mice, you basically create
  • 55:01this tolerance for the antigen.
  • 55:03You know, for example,
  • 55:05so that means that the minds of
  • 55:08the host will trade that rise.
  • 55:10Transgender put in.
  • 55:11And as a Nitro, you know,
  • 55:13own protein,
  • 55:13so we never be able to initiate
  • 55:16those kind of inflammatory model.
  • 55:18The other model,
  • 55:19Israel chemically induced the model.
  • 55:21You know,
  • 55:22you know to look at the personal Genesis.
  • 55:25It's really not the same as all
  • 55:27because in that in those cases
  • 55:29you have more liver damage rather
  • 55:31than actually information driven.
  • 55:33So for that question,
  • 55:34I don't think you know we have really
  • 55:37good model to to look at the email now.
  • 55:41Check on inhibitor.
  • 55:42So for that matter,
  • 55:43alright,
  • 55:43so you know the one we divided the
  • 55:46Bobbsey Miz will be good to look
  • 55:49at the email check only hitter but
  • 55:51again in that setting you know.
  • 55:53The difference is is we don't.
  • 55:55There is no hepatitis infection
  • 55:57in that system.
  • 55:58We actually trying to get
  • 56:00hepatitis C virus windows privacy,
  • 56:02HTC and trying to do that,
  • 56:04but for some some reason we still cannot.
  • 56:07In a, you know,
  • 56:09recapitulate the inflammatory response.
  • 56:10You know in that, in, in,
  • 56:12in, in, the in the system.
  • 56:15So again you know like you know just
  • 56:18like them, please ask the earlier.
  • 56:20So for those you know differences.
  • 56:22You know whether you have inflammatory.
  • 56:24Changes in HTC of lice inflammatory
  • 56:27transition alcohol induced that HTC will
  • 56:29be when you use trackpoint in Haverhill.
  • 56:31How they behave?
  • 56:32We don't know for whatever the reason.
  • 56:35If you look at the clinical trial
  • 56:37they conducted the network T service
  • 56:39out because actually hoping serving
  • 56:41as a reviewer when this separated.
  • 56:43You know some middle ground.
  • 56:45I say can you tell me can
  • 56:47you separate this out?
  • 56:49Can you say alcohol, HTC patient you know?
  • 56:52And also HC? Wait patience when you use.
  • 56:54Checkpoint inhibitor,
  • 56:55do they behave differently?
  • 56:56Out behavior? Say I mean with them.
  • 56:59I mean,
  • 57:00I guess probably you know the case number.
  • 57:02Overall,
  • 57:03you know you'll still have a relatively
  • 57:05fewer numbers of people with alcohol.
  • 57:07HTC I think majority the patient is still
  • 57:10is like a HC way or HP way related HTC.
  • 57:14I think that's really important
  • 57:16because I think that you know.
  • 57:18What you got the checkpoint inhibitor
  • 57:21should absolutely considered an I in
  • 57:23in the sighting of Nitro I will say
  • 57:26to you know physiological difference
  • 57:28in terms of the path biology,
  • 57:30for example whether or not
  • 57:32they have the indulgence
  • 57:33inflammatory milio or macro
  • 57:35environment or not I think that
  • 57:37could make this huge difference.
  • 57:39I think this is actually one
  • 57:42of the area I was saying is.
  • 57:45We should have really look at the
  • 57:47difference between the two groups
  • 57:49for tumors and when we use the
  • 57:51checkpoint inhibitor that we can
  • 57:52probably learn a lot because one,
  • 57:54as I said, almost no information.
  • 57:56The others has a lot of information.
  • 57:59Yeah I need to see more
  • 58:02data on that. Yeah and last question
  • 58:05from Jeff Score is DPC three
  • 58:07expressed in Cholangio Carcinoma?
  • 58:09And what about cells and HTC
  • 58:13that show cholangiocarcinoma
  • 58:14differentiation? As a feature of
  • 58:17HTC. No, it doesn't.
  • 58:19You know a guy picking 3 does
  • 58:22not express in Columbia Personal.
  • 58:25And when you know with the mic style tumor,
  • 58:28you know we call it the.
  • 58:30You know, the mix type 2 in both.
  • 58:32So you have hypercellular
  • 58:34at Michelangelo Carcinoma.
  • 58:35In that exciting?
  • 58:36Yes, some other hypercellular carcinoma
  • 58:38can be staying for clapping and
  • 58:40three so I have to say that I think
  • 58:43this is we haven't done that yet.
  • 58:45So this is all this idea
  • 58:47to the audience you know.
  • 58:48So in the later literature they have
  • 58:51demonstrated by email his chemistry
  • 58:52they have seen like a certain
  • 58:54percentage of prostate cancer.
  • 58:56Breast cancer colon cancer also
  • 58:58expressed like if we say 10 between
  • 59:005 to 10% of those cancers also
  • 59:02expressed clapping and three right
  • 59:04so those are in the literature.
  • 59:06Those really any doctor type
  • 59:08of report out there.
  • 59:09We never look at it ourselves,
  • 59:11but for some of you know anybody you know.
  • 59:14You know if you are interested in that,
  • 59:17it may be you know you can
  • 59:19look into some of those.
  • 59:21I mean, it's not surprising that guy
  • 59:23pick once we also exploiting some tumors.
  • 59:26Because this is just one of those,
  • 59:29you know.
  • 59:30Amber Amber,
  • 59:31Genesis type of property got re
  • 59:34express and in the in cancer.
  • 59:37So just through this information
  • 59:39out there. Thank you, that was really a
  • 59:41superb talk and we're so fortunate now
  • 59:43to have you as a member of our cancer.
  • 59:46Centers are welcome and we look forward.