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Pathology Grand Rounds: February 2, 2023 - Andre l. Moreira MD, PhD

February 10, 2023
  • 00:00OK. Hello everyone and welcome
  • 00:02to pathology grand rounds.
  • 00:04So this week we have the pleasure
  • 00:06of welcoming a new speaker,
  • 00:08Doctor Andre Moreira.
  • 00:09And so doctor Andre Moreira has
  • 00:11a long CV amongst many things.
  • 00:14He's a professor of pathology
  • 00:15at the New York University.
  • 00:17He's the director of surgical pathology,
  • 00:19director of the Center for Biospecimen
  • 00:22Research and Development and
  • 00:24Director of Thoracic Pathology
  • 00:25in the same institution.
  • 00:27He has over 190 publication
  • 00:29has been very active.
  • 00:30The field of thoracic pathology done
  • 00:33many contributions in lung cancer,
  • 00:35non tumor lung pathology,
  • 00:37but also mesothelioma,
  • 00:39thymoma and other related diseases.
  • 00:42I realize now he has a lot of expertise
  • 00:43in transplant pathology and and other
  • 00:46areas that are very prominent at NYU.
  • 00:50So he's clinical expertise is very,
  • 00:52very prominent.
  • 00:53He has trained many people.
  • 00:55A few months ago I visited NYU and
  • 00:58I realized that he actually has
  • 00:59other skills that we didn't know.
  • 01:02And because of that I requested
  • 01:03him to speak about a slightly
  • 01:05different topic this time.
  • 01:06So he will not do the
  • 01:08traditional pathology based,
  • 01:10you know,
  • 01:11morphology centered or
  • 01:13clinically oriented talk,
  • 01:14but he will talk about another
  • 01:16operation he has been running
  • 01:17for the last six years,
  • 01:19which is a a
  • 01:20very important and frequently underestimated
  • 01:22by repository operation.
  • 01:24So what he has been doing is supporting
  • 01:26the whole institution in collecting,
  • 01:29processing and distributing
  • 01:30biospecimens for research.
  • 01:32And this is a substantial
  • 01:33operation he will talk about.
  • 01:35And I think the role of the pathologist
  • 01:37in this type of operations I think
  • 01:40is very important and it's something
  • 01:42worth learning about and noting.
  • 01:44So without further ado,
  • 01:46I welcome Doctor Moreda and thank you.
  • 01:49Thank you, Kurt,
  • 01:51for the introduction and for the
  • 01:53invitation to talk to you today.
  • 01:54So as I said,
  • 01:56what I'm going to talk today is not very
  • 02:00traditional even for a grand rounds,
  • 02:02but I think it is interest especially
  • 02:05for pathologists to see different areas
  • 02:07that we can be involved and act on.
  • 02:10So the outline of the talk,
  • 02:13I'm going to say why there is a
  • 02:16need for human tissue biospecimens.
  • 02:18A little bit about collection,
  • 02:21banking processing and distribution,
  • 02:23and I'm talking mostly about
  • 02:26the model that I use at NYU.
  • 02:29Some financial considerations and the
  • 02:32challenges that inevitable will come.
  • 02:36So in the classical research model
  • 02:40we go for invitro observations,
  • 02:42testing in cell lines and then
  • 02:45move to animal models.
  • 02:48That is an easy experimentation and
  • 02:50can manipulate the system much easier
  • 02:53than anything else than in humans.
  • 02:55And then basically used to
  • 02:57formulate your questions,
  • 02:58your hypothesis and then you need
  • 03:00to go to human for a confirmation
  • 03:03and validation of your findings.
  • 03:05So the problem with this approach is
  • 03:08that it takes a very long time and
  • 03:11and there are a lot of issues that
  • 03:14why we still need human at the end.
  • 03:16For instance,
  • 03:17cell lines,
  • 03:18we know that they don't have a stable genome.
  • 03:20They may not be representative of the disease
  • 03:23that they originally came from or even from
  • 03:26the organ that they originally come from.
  • 03:29So everybody that have
  • 03:30worked with cell lines,
  • 03:31I mean there's a very well
  • 03:33known ovarian cell line,
  • 03:35there is not a single ovarian.
  • 03:36More that looks like those cells,
  • 03:38but that's where they come from.
  • 03:41So the observations may not translate
  • 03:43very well to clinical cases or
  • 03:46especially to a general population.
  • 03:48In the animal models,
  • 03:50we have different physiologies,
  • 03:52therefore there is a very
  • 03:54different response to stimuli.
  • 03:56What you can expect from humans.
  • 03:58There is a great variation in
  • 04:01morphology and especially for tumor.
  • 04:03I'll show you some examples
  • 04:05and again the observations.
  • 04:07Cannot be.
  • 04:08They may not translate very well to the
  • 04:11clinical practice or to the patients
  • 04:13due to difference in Physiology,
  • 04:15general population,
  • 04:16genomic variations and everything else.
  • 04:19So this is just some examples.
  • 04:22I'm talking about lung cancer
  • 04:23because as he said,
  • 04:24that's what I work most of the time.
  • 04:27So in in animals.
  • 04:30In most or many models of lung cancer
  • 04:34in in in mice you can modify you can
  • 04:39increase the expression of 1 gene
  • 04:41gave Ross P53 any other gene that you
  • 04:44want to express it will always form
  • 04:47exactly the same the same tumor it
  • 04:49start with a very small round nodule
  • 04:52very well behaved that there is nothing
  • 04:55like that in humans and if you live long
  • 04:58enough they will have a little bit of.
  • 05:00Angela formation. And like here,
  • 05:03so you know, it sort of starts to
  • 05:06recapitulate the human tissue.
  • 05:07But when you look at lung cancer,
  • 05:09it is completely variable.
  • 05:11There is a very high
  • 05:14heterogeneity in morphology.
  • 05:15These patterns are very much mixed
  • 05:19and in lung cancers in humans,
  • 05:21every single pattern has a different meaning,
  • 05:24different prognostic significance,
  • 05:26which you cannot reproduce in mice, OK.
  • 05:31So then there is has been this.
  • 05:34Shift in for translational research.
  • 05:39So this came mostly after the the TCG
  • 05:42study that looked at all the the genome,
  • 05:46the human genome so and it became available.
  • 05:49So it was much easier to investigate and
  • 05:51have that as a platform to investigate human
  • 05:54genomes and in in the disease as well.
  • 05:57So a lot of technologists especially
  • 06:00molecular technologists can now do
  • 06:02paraffin embedded tissue which is.
  • 06:04There's a large,
  • 06:06much larger amount of samples than if
  • 06:09you use fresh tissue or frozen tissue
  • 06:12specifically collected for research.
  • 06:14And again,
  • 06:15most of my clients they need
  • 06:17now fresh tissue,
  • 06:18so they create xenograft models.
  • 06:22Though so the collection of fresh tissue
  • 06:26from human for experimental pathology
  • 06:29or experimental models in the rise.
  • 06:32This is very important for drug development
  • 06:35and for personalized medicine because again,
  • 06:38you can start one lung cancer,
  • 06:40it's not going to be exactly
  • 06:41like the other one,
  • 06:42so they need.
  • 06:43That human variation in order to look at the
  • 06:47genomic and personalized medicine in them.
  • 06:50So we need a comprehensive human tissue
  • 06:53banking that can increase utilization.
  • 06:56We need to have a very well characterized
  • 06:59population for the scientists to
  • 07:00investigate and these samples need
  • 07:02to have clinical rotation so they can
  • 07:05correlate with whatever they find.
  • 07:08So just going to show 2 examples of
  • 07:10this is a recent paper that basically
  • 07:13talked about the need of fresh human
  • 07:16tissue for human research.
  • 07:18And here they create,
  • 07:20they're basically specifically talking
  • 07:21about Zeno graph.
  • 07:23What is the how, how they.
  • 07:26Organize their research.
  • 07:28Some, not all, tumors that we try
  • 07:30to create a scenographic will grow.
  • 07:32We know that.
  • 07:34But those that grow are becoming a very
  • 07:37important source for DNA fingerprinting,
  • 07:40genomic variations.
  • 07:43See absolutely models and and
  • 07:46drug and testing of drugs as well.
  • 07:49This is another paper just to show
  • 07:52again the limitations of mouse.
  • 07:54We have a mouse here,
  • 07:56but basically this is a study
  • 07:58on Melanoma where we we do not
  • 08:01have a mouse model for Milano.
  • 08:03OK,
  • 08:04so basically we provided in biorepository.
  • 08:07This is a paper from NYU that
  • 08:10I'm not involved as an author,
  • 08:11but the BIOREPOSITORY provided
  • 08:13the tissue for this study.
  • 08:16Basically they look at metastatic
  • 08:18Melanoma metastatic from.
  • 08:20Brain metastasis from,
  • 08:21not from the brain tissue and what
  • 08:25they notice there is a different
  • 08:27expression in protein and basically
  • 08:29suggests that whenever the Melanoma that
  • 08:31establishes itself in the brain,
  • 08:33they secrete. Upload best,
  • 08:37better that suppresses inflammation that
  • 08:40allows certain metastasis to take hold.
  • 08:42So again showing even the same tumor the
  • 08:46same disease location is very important.
  • 08:48So it is important to have an
  • 08:50annotation where it comes from,
  • 08:52where is the source so that can allow the
  • 08:55scientists to make those discoveries.
  • 08:57So what is biobanking?
  • 09:00It is a systematic procurement,
  • 09:03processing, annotation,
  • 09:05storage and distribution of
  • 09:08biospecimen for research activity.
  • 09:11Biobanking of human specimens in many
  • 09:13institutions is part of a broader
  • 09:16strategy to support an advanced,
  • 09:18high impact biomedical research.
  • 09:21OK, I'll show you that there are some.
  • 09:24Very different types of biobanks.
  • 09:28When I arrived at NYU,
  • 09:29everybody was doing their
  • 09:31own biobanking side.
  • 09:32There is someone doing this,
  • 09:34someone doing that,
  • 09:35but there is no correlation.
  • 09:37There is no integration of that
  • 09:40material in that resource.
  • 09:42OK.
  • 09:42So that's why it is important to
  • 09:44have one institutional component
  • 09:45that can really serve for multiple
  • 09:48purposes and that will allow,
  • 09:50and I'll show you some examples
  • 09:52later allow for more.
  • 09:54Grant support and and everything else.
  • 09:57So there are very many different
  • 10:00types of vibank.
  • 10:01Excuse me, there is no specific.
  • 10:04One model fits all.
  • 10:06There are biobanks that are more.
  • 10:09Towards precision medicine,
  • 10:11others about population based and
  • 10:13others are disease specific, OK,
  • 10:16so there is no specific model but
  • 10:18they can function all of this.
  • 10:21There are initiatives and we are
  • 10:23the biobank for those initiatives.
  • 10:26So the for instance an example,
  • 10:29there is a group of investigators
  • 10:32that NYU that is collecting.
  • 10:35Samples from patients with Asian descent,
  • 10:39OK,
  • 10:40There's a big part of our
  • 10:42National Health Institute,
  • 10:43so we are the biorepository for them.
  • 10:46So that is more of a population based.
  • 10:48There is a group that collects lupus brino
  • 10:51biopsies from lupus that's more like a
  • 10:54disease specific disease biobanking.
  • 10:56But again they can all be
  • 10:59integrated into the.
  • 11:00Deep central biorepository.
  • 11:03So what is the most important thing of
  • 11:07biobanking today is informed consent.
  • 11:09So we need to have an informed consent
  • 11:12for patients that will allow them.
  • 11:14To collected material that
  • 11:16will be used for research.
  • 11:18The biobanking needs to conform to local,
  • 11:21regional and federal regulations.
  • 11:23I unfortunately,
  • 11:25unfortunately I work in New York
  • 11:27that's tightly regulated all the labs.
  • 11:29So my lab is inspected by New York State,
  • 11:32by the CHP and we have a lot of
  • 11:35paperwork to fill that we will
  • 11:38fulfill all of these regulations.
  • 11:40One important thing of our bank is
  • 11:43the standard and quality assurance,
  • 11:45and that's extremely important.
  • 11:47I'll give you 2 very bad examples
  • 11:51when I was a postdoc.
  • 11:53I come from Brazil and I was doing
  • 11:56my PhD and there was an investigator
  • 11:59at the time that was doing fantastic
  • 12:02discoveries in large smania.
  • 12:05And he was saying that,
  • 12:07you know,
  • 12:07a lot of the things that he
  • 12:08was finding Leishmania were
  • 12:10very similar to the crusade.
  • 12:12So basically like a cross link
  • 12:14between the two institutions,
  • 12:15the two parasites.
  • 12:16And then one day someone said maybe
  • 12:18you should look at your leishmania.
  • 12:20And in fact he was working with the cruise.
  • 12:23That's why he was finding all those things.
  • 12:25So if you don't know what you're looking at,
  • 12:28you may be completely
  • 12:29wrong in your discoveries.
  • 12:30So that is extremely important to
  • 12:32the quality assurance and quality
  • 12:34control of everything you're working,
  • 12:36especially, you know, human tissue.
  • 12:40So data integration annotation is
  • 12:43also very important because you
  • 12:45want to be able to offer the the,
  • 12:48the investigators very well
  • 12:50annotated samples.
  • 12:51I'll go more little bit about annotations.
  • 12:53It can varies a lot but you need to make
  • 12:56sure that what you're saying is what it is,
  • 12:58OK and give the basic information
  • 13:00and there are also financial
  • 13:02considerations for a biobank,
  • 13:04it is a very expensive endeavor and
  • 13:06also the model that we use at NYU,
  • 13:09but it's not the same.
  • 13:10That you can see in every single biobank.
  • 13:15So specifically for NYU,
  • 13:17those are the missions that we have
  • 13:19is basically to maintain and expand
  • 13:22the human biospecimen repository
  • 13:24with clinical pathologic connotation.
  • 13:27Of patients that signed universal concern.
  • 13:29So we have a universal consent
  • 13:31that patients are offered.
  • 13:33It doesn't matter where they come from,
  • 13:35which disease they have.
  • 13:36So they offer that consent and if they allow
  • 13:40we can we can collect leftover tissue,
  • 13:43OK or blood.
  • 13:44So this can be from surgeries or even
  • 13:47blood that goes for a clinical test.
  • 13:50There is leftover.
  • 13:51I can collect that material as long
  • 13:53as the patient signed the consent.
  • 13:59There all the consent.
  • 14:00So it's like a clinic or hospitals
  • 14:04everywhere, everywhere. Yeah.
  • 14:06So originally the consent was.
  • 14:10We when I started we the most of
  • 14:12the need was to to collect patient
  • 14:15to consent patients with cancer.
  • 14:18So in the cancer centre registration the
  • 14:20patients would come in and then offer the
  • 14:23consent as part of their registration then.
  • 14:26But patients can come from many different
  • 14:29areas so then we have to adapt and evolve.
  • 14:33So now we have patients that can be
  • 14:35concentrated in the registration office,
  • 14:38they can be consented in the clinical.
  • 14:40Office by the nurse by the registration
  • 14:42desk of of the faculty practice and they
  • 14:45can and I have one person now that is
  • 14:49located in the pre surgical area and
  • 14:52he consents everybody before surgery.
  • 14:54It's not very efficient but it's
  • 14:55still we still get some patients.
  • 14:57So it has to be multiple focal unless
  • 14:59you have one area that everybody comes.
  • 15:07Another thing is to simulate collaborations
  • 15:09with between NYU and outside institutions
  • 15:12and apply high quality standards for
  • 15:15those biased by vice presidents.
  • 15:17So my bar repository as I said is a
  • 15:20biorepository accredited by the the CAP
  • 15:23by College of American Pathologists.
  • 15:25We were inspected every two years and we
  • 15:28hold at the same standards as a clinical lab.
  • 15:31So the CAPS certification
  • 15:33basically gives you a. Clear.
  • 15:36It's not that clear.
  • 15:38We cannot do tests,
  • 15:39but it's a clear equivalent meaning
  • 15:41that if I have a tissue there
  • 15:43that is needed for clinical tests,
  • 15:45that is OK to take my tissue for
  • 15:48the clinical test because it has
  • 15:51hold over the same standards.
  • 15:53So I'll talk about compliance in
  • 15:56IRB and the HIPAA requirements
  • 15:58which is very important.
  • 16:00And so HIPPA is health insurance
  • 16:03portability and Accountability act.
  • 16:06It's a privacy rule.
  • 16:07So privacy rules patients is very important,
  • 16:10setting limits and boundaries and
  • 16:12the release of medical information
  • 16:14and holds violators accountable.
  • 16:16So it is very important that one
  • 16:18to establish it holds true for
  • 16:21all these regulatory issues.
  • 16:22And has direct implication for research
  • 16:25and patient information, of course.
  • 16:28So.
  • 16:29Patient consent is the major
  • 16:32tenant of biorepository.
  • 16:33All samples are collected under an IRB
  • 16:38approved HIPAA compliant consent form.
  • 16:42So our consent form is the way it was
  • 16:45created is mostly for leftover tissue.
  • 16:48There are many variations from
  • 16:51other biobanks.
  • 16:52I can tell you briefly, but for for
  • 16:54us the participation is voluntary.
  • 16:56The patient is approached,
  • 16:57if they want to consent,
  • 16:59they will consent and they can also
  • 17:01choose what they want to consent.
  • 17:03So we can use leftover tissue
  • 17:06and leftover blood.
  • 17:07We cannot use it for biopsies because
  • 17:09biopsies are not leftover tissue.
  • 17:11So I cannot.
  • 17:12Select any biopsy for research.
  • 17:14So if there is a biopsy for research,
  • 17:16the patient needs to sign a
  • 17:18specific consent for that protocol.
  • 17:20OK, the Biorepository will will be able to.
  • 17:24Take that sample process and
  • 17:26distribute as well,
  • 17:27but it's not part of our universal concept.
  • 17:30There is a voluntary donation of blood.
  • 17:32The patients can say one single blood draw,
  • 17:36multiple blood draws.
  • 17:37They can opt which is that they want to
  • 17:40do one thing that is embedded in the.
  • 17:44And and my consent,
  • 17:46we cannot consent children.
  • 17:48So it's only adults.
  • 17:50So the consent allows for linkage
  • 17:52of clinical information.
  • 17:53So everything that the patient's
  • 17:56clinical history, presentations,
  • 17:58radiology, molecular tests,
  • 18:01pathology tests,
  • 18:02anything else is available to
  • 18:04the investigation because the
  • 18:06consent allows for that.
  • 18:07There is no specific project,
  • 18:09so it can be used by many different projects,
  • 18:12according to the investigators.
  • 18:13And if they need to do cell line,
  • 18:16develop xenograft genetic tests,
  • 18:18everything is already.
  • 18:20Written in the consent,
  • 18:21so the patient allowed for all that, OK.
  • 18:24So there is a coronation of risk
  • 18:27and benefits and one thing that
  • 18:29our RB ask is that the results
  • 18:32are not released to the to the.
  • 18:34Patients or anything,
  • 18:35but in fact we don't know.
  • 18:38What is going to be used.
  • 18:39So we don't want to say that we're
  • 18:40going to allow you to see your results
  • 18:42because we have no idea how it's going
  • 18:44to be used and what they are going
  • 18:45to be looking for and protection
  • 18:47of HIV is extremely important.
  • 18:49Most of the specimens that
  • 18:51deidentified and are distributed to
  • 18:53the investigator the identified.
  • 18:55So they they have the clinical information
  • 18:58but they do not know anything about
  • 19:01that patient apart from. Sex age.
  • 19:05But I cannot give them the ear.
  • 19:07The patient was born any date is a PHIK,
  • 19:10but it's 60 years old. It's OK, OK.
  • 19:14Patient can withdraw consent at any
  • 19:17moment and some patients do withdraw consent.
  • 19:20So how is interaction with the RFP,
  • 19:23so everything that is a prospective
  • 19:25collected collection needs to have
  • 19:28higher be approval which falls under
  • 19:30our protocol and everybody else that is
  • 19:33doing intervention like clinical trials.
  • 19:35So the patient needs to sign consent
  • 19:38retrospective studies that is what
  • 19:40our my with the biobank becomes now
  • 19:43after it has been retrospective.
  • 19:45The tissue delegates the realization
  • 19:46is easier to get an IRB approval
  • 19:49the patient or the investigator.
  • 19:50They're not need to have a specific
  • 19:52consent from that patient because
  • 19:54the material is already there.
  • 19:55So a waiver of consent from the
  • 19:57RV is easier to everything.
  • 19:59You just need to indicate what they can get.
  • 20:03The clinical information and so
  • 20:04if that is approved by the IRB,
  • 20:06I can release that information
  • 20:08to the investigate, OK.
  • 20:12So basically. There are three
  • 20:16levels of RB that we need to follow.
  • 20:19Some investigators have a
  • 20:23approved protocol from the RB that
  • 20:25allows them for identification.
  • 20:28So an example COVID test,
  • 20:30there was someone that wants to see
  • 20:33the the COVID variation and they needed
  • 20:35to have the ZIP code of the patient
  • 20:38to see where those strains work.
  • 20:40So that is a Phi.
  • 20:42So they need to get a special
  • 20:45dispensation from this the IRB to
  • 20:47receive HIV OK or DEIDENTIFIED.
  • 20:49This is boss majority so it's it's
  • 20:52an easier process and they they are
  • 20:54just provide them the samples with
  • 20:57the clean connotations that they
  • 20:59need and anonymized especially there
  • 21:01is no identifier to like someone
  • 21:03just asked I need them lung cancers,
  • 21:06so that's it then lung cancers.
  • 21:07That specimen cannot be traced traced back.
  • 21:10If the investigator wants to go
  • 21:12back to see what they are,
  • 21:14there is no way they can do that, OK.
  • 21:17And each one of them has different
  • 21:19level of scrutiny from the art.
  • 21:22So another important thing is
  • 21:24no compromise of clinical care
  • 21:26that's your pathology is come in.
  • 21:28We are the ones that really know how
  • 21:30to triage these these samples and.
  • 21:34If if the material comes to pathology,
  • 21:37it's a small tumor I need
  • 21:40that entire tumor for.
  • 21:42For diagnosis, there is going to be
  • 21:44no collection for the biorepository.
  • 21:46OK, so we have that built-in
  • 21:49concerns this one other thing that
  • 21:51we did is that we do not allow
  • 21:54anymore and let's say we with the
  • 21:57institution in general and I had
  • 21:59the support of the institution.
  • 22:03Basically, we do not allow anybody to
  • 22:06collect samples from the OR. But before,
  • 22:09surgeons would do their collection,
  • 22:11and then nobody knows what it was.
  • 22:15Luckily or unluckily, we had a couple of.
  • 22:20Missteps that led to RCA and then was easier
  • 22:23for the institution to say this is not about,
  • 22:27OK, so that is, I say,
  • 22:30very bad for the patient,
  • 22:31but at least I now can control that process.
  • 22:36And a pathologist also can create the
  • 22:39optimal collection technique that is
  • 22:41important for the viral part part.
  • 22:43So the patients go to the ER,
  • 22:46the tissue is resected,
  • 22:47it comes to pathology with process decide
  • 22:49if it can be collected or not and and then
  • 22:52we collect according to the protocol if
  • 22:54there is something that they need fresh.
  • 22:57Sometimes some investigators need
  • 22:59samples in a specific media.
  • 23:01So we do the collection according to what
  • 23:04the investigator needs and we always create.
  • 23:07Control a frozen section control slide
  • 23:09because we need to make sure that
  • 23:11whatever we give into that person to
  • 23:14that investigator is exactly what they say.
  • 23:16So you can take a piece of tissue,
  • 23:18they look, they think there's lung cancer,
  • 23:20but it's just inflammatory very tomorrow.
  • 23:23So I need to make sure that
  • 23:25what I give is what it is, OK.
  • 23:27So I always do a frozen section of every.
  • 23:30So in this protocol need to to
  • 23:33annotate the schematic time.
  • 23:35One of the problems that we have there
  • 23:37is that investigator would say it
  • 23:39needs to be collected like immediately
  • 23:41we cannot go to pathology and then
  • 23:44collect because the RNA will die.
  • 23:47I'm going to be a little bit.
  • 23:49Sarcastic,
  • 23:50but my answer to this investigators
  • 23:52is if you work with something that
  • 23:54needs to be collected immediately
  • 23:56you should not be working with
  • 23:58human tissue because even if the
  • 24:00surgeon collect it is not immediate.
  • 24:02They need to.
  • 24:03The most important thing is the patient.
  • 24:05Well, so it is not they cannot stop
  • 24:07what they're doing, collect everything,
  • 24:09freeze them centrally,
  • 24:10investigate.
  • 24:11The most important thing is impatient.
  • 24:13So there is always the challenge
  • 24:15and a cultural change for the
  • 24:17investigators to understand how this.
  • 24:20Dynamics work and it's just
  • 24:22always a tug of war.
  • 24:24Everybody that has invested doing
  • 24:27anything with humans know how it is so.
  • 24:31How we minimize the the the this process so?
  • 24:35We receive, I'll show later how the
  • 24:38integration is with IT,
  • 24:40but everybody that is consented,
  • 24:43we have a system that will
  • 24:45annotate and and search all the
  • 24:47patients that go for surgery.
  • 24:48So we receive in 24 hours before the surgery.
  • 24:52So these patients ABC will come for surgery.
  • 24:55So the day of surgery someone
  • 24:57in my team will call to the OR
  • 24:59provide them with the lease and say
  • 25:01these are the patients ABC that
  • 25:03we need that material once it is.
  • 25:05Removed from the patient,
  • 25:07it comes to pathology immediately
  • 25:08and we use like the same system
  • 25:11as the frozen section.
  • 25:12So there is a Courier that brings
  • 25:14that material directly to pathology
  • 25:16as if it was a frozen section.
  • 25:18Then the EPA or if there is a pathologist
  • 25:21that is involved will collect the
  • 25:23sample and the biorepository is also
  • 25:25not notified of the collection.
  • 25:27They are there, they collect the
  • 25:29material and they distribute,
  • 25:30freeze, whatever they need to do.
  • 25:31So that will minimize the scheming time
  • 25:34and we annotate when it was removed.
  • 25:37The war annotates when it was removed,
  • 25:39and we annotate when it was frozen,
  • 25:41so we have some control.
  • 25:44So again the pathology examination
  • 25:45and we do the quality control
  • 25:47and assurance of patient care.
  • 25:49Once again, if you cannot collect,
  • 25:51it will not be collected.
  • 25:53It doesn't matter if it's device,
  • 25:54gene or research that wants that tissue,
  • 25:57the answer is no, OK.
  • 25:59And they understand, OK.
  • 26:03So how the patient is consented?
  • 26:07As I said briefly,
  • 26:08we have many different mechanisms.
  • 26:10The entire consent process is electronic,
  • 26:13so once they sign the electronic format,
  • 26:18that material. And go here.
  • 26:21So there is a lot of things that goes on,
  • 26:23but there is a system that we use,
  • 26:25it's called home base.
  • 26:27It goes through interface with lab
  • 26:29vantage which is our biorepository data
  • 26:33manager and interferes with EPIC which
  • 26:36is our medical records that we use.
  • 26:40And research Navigator,
  • 26:41which is all the research that I've
  • 26:44done are registered in research,
  • 26:46not paid. So this,
  • 26:47then once this and this talks constantly.
  • 26:50Once again, the patient is identified.
  • 26:53They will send.
  • 26:55A message to CBD,
  • 26:56which with the people and they will do what I
  • 27:00said organized with you are with pathology,
  • 27:02inform everybody,
  • 27:03collect the sample and then freeze,
  • 27:05OK and everything is
  • 27:07entered in like advantage,
  • 27:08which is our management system.
  • 27:11It's a big graphic,
  • 27:12but it's basically simply,
  • 27:13simply that's how it works.
  • 27:16So Dubai's personal process,
  • 27:18whenever we see,
  • 27:20when we still look at the
  • 27:22patient identification,
  • 27:22make sure that patient is consented.
  • 27:25There is a notification of excision.
  • 27:27The collection is is done,
  • 27:30the tissue is acquired and distributed
  • 27:33and processed according to the.
  • 27:35So the tissue management?
  • 27:38Yes,
  • 27:39you have a sense of what is the fraction
  • 27:41of patients that are you know you're
  • 27:43capturing with this system relative
  • 27:45to the ones that could provide.
  • 27:48Uh. That's a good question of.
  • 27:53Let me can say that from the
  • 27:55patients that signed the consent,
  • 27:56not everybody goes to surgery. OK.
  • 27:59So from the patients that signed the consent,
  • 28:02we have about 40,000
  • 28:04people already consented.
  • 28:06For the entire institution,
  • 28:08about 10% of them go to surgery
  • 28:10and we have the tissue collected.
  • 28:12So that's why we have now one person
  • 28:16in in the OR that will collect,
  • 28:19will do target consent.
  • 28:22The target consent means
  • 28:24most of our investigators,
  • 28:26they are working with lung cancer,
  • 28:29pancreatic cancer, Melanoma,
  • 28:31colon cancer.
  • 28:32So if the patient is listed for any of of
  • 28:35these and they are not consented before,
  • 28:37so that person will consent.
  • 28:40So I cannot tell you exactly
  • 28:42how many patients we skip,
  • 28:44but up let's let's say like 10% we collect
  • 28:48about 10% of everybody that goes to the.
  • 28:51And we also collecting transplant.
  • 28:53I'm just talking about cancer,
  • 28:54but he collects for.
  • 28:56For non cancer as well,
  • 28:58OK.
  • 28:58So Andrew is your follow up that
  • 29:01question not gross specimen show up.
  • 29:04So do you have separate about
  • 29:07specific person to look at the tissue
  • 29:10first or you have your a resident
  • 29:13is the routine PSA that will grow
  • 29:16that will process the specimen
  • 29:19and if there is a clinical trial
  • 29:21or specific project so then the
  • 29:24pathologist on their trial or on that.
  • 29:26Protocol is notified and
  • 29:28then very often they are.
  • 29:30They want to do the collection themselves.
  • 29:33But but yes there is it is not a
  • 29:36specific person for the viral post
  • 29:38story I everybody in the biorepository
  • 29:41they they don't have the ability
  • 29:44to grow they're not PA so they
  • 29:46would I would for patient care I
  • 29:48would not allow them to they're
  • 29:50not allowed to to cut insurance.
  • 29:52So in other words your bowel
  • 29:56pastor shares mythology person.
  • 29:59So it is very much embedded in the
  • 30:02pathology and what institution.
  • 30:04Was present. And I said the institution,
  • 30:07because everything else for the
  • 30:09biorepository is an institutional resource.
  • 30:12So the institution pays the
  • 30:15salary of 1 PA of course,
  • 30:17if you have 10 PA's and all
  • 30:2010 PA's will will collect,
  • 30:22there is one PA that is paid by
  • 30:24the institution for that function.
  • 30:26So that's how we we get everybody
  • 30:29to cooperate, yes.
  • 30:34So. Whenever we we we collect
  • 30:37and we once we collect,
  • 30:39we enter into lab vantage with
  • 30:42diagnostic information I do not have.
  • 30:45The annotation is something a
  • 30:48little bit complicated because.
  • 30:50You can make a very extensive
  • 30:53annotation the investigators.
  • 30:54Are not interested in that
  • 30:56they they want something else.
  • 30:57OK, so that is very common.
  • 30:59So what we do is that we do
  • 31:01a minimal annotation like
  • 31:03diagnosis if there is recurrence,
  • 31:05if the patient has been treated or not,
  • 31:07very simple annotations.
  • 31:08And then if the investigator wants
  • 31:11something with a more extensive
  • 31:14annotation like molecular notations,
  • 31:15then we provide the identifier the.
  • 31:20The the Biorepository identifier which
  • 31:22is not the patient identifier, right.
  • 31:25It's a number that is generated
  • 31:27by the system.
  • 31:29Then we provide that to the data
  • 31:31for and the data core we extract
  • 31:34the clinical information that the
  • 31:36situation the investigator wants.
  • 31:38So in a way we don't have,
  • 31:40I don't need to have someone creating
  • 31:43a lot of annotations because it
  • 31:45varies a lot by every different user.
  • 31:48So we create this,
  • 31:50this system is that we have a way to
  • 31:53get the information that they want
  • 31:55that will follow all the regulatory
  • 31:57issues and patient identifiers
  • 31:59and other which will be released,
  • 32:01OK.
  • 32:04So the the. The manager the the.
  • 32:08The program manager also tracks
  • 32:11all the genealogy of the specimen,
  • 32:14if there is a split,
  • 32:15if there are aliquots,
  • 32:16if you already extracted the
  • 32:18DNA RNA from that sample,
  • 32:20everything enters,
  • 32:20so we know exactly what
  • 32:22happened to that material.
  • 32:28So as I said, clean connotation
  • 32:30is very variable depending a lot.
  • 32:33We do very limited annotation
  • 32:35and extensive annotation requires
  • 32:38personal to mine the data and
  • 32:40enter the clinical data set.
  • 32:42I don't have one person to do
  • 32:44that because it is a lot of work.
  • 32:46So we basically refer to people
  • 32:49that for the resource of the
  • 32:50institution that already do that.
  • 32:55But a minimal notation is important
  • 32:57if patients want if an investigator
  • 32:58wants someone that has never received
  • 33:00chemotherapy or someone that
  • 33:02received chemotherapy, so we cannot.
  • 33:06How do you manage to maintain this
  • 33:08update, you know like patients
  • 33:10that died or patient had follow up
  • 33:12or surgeries or other treatments
  • 33:15because the the the program
  • 33:17is integrated with EPIC.
  • 33:20And that information is fed
  • 33:22directly into the program,
  • 33:23so the diagnosis that.
  • 33:25That comes from pathology is integrated
  • 33:28this staging we use the the CAP
  • 33:31template so that can be uploaded
  • 33:33into the into lab vantage as well.
  • 33:36So then that data is extracted.
  • 33:38If the recurrence is a little
  • 33:40bit more tough to get because it
  • 33:43is very often sometimes emote.
  • 33:45They don't have a biopsy or something
  • 33:47that tells it is a recurrence,
  • 33:50but date of death is annotated
  • 33:52because it goes straight into epic.
  • 33:55The problem is if the patient dies.
  • 33:57Outside of the system then
  • 33:58there is no way I can tell,
  • 33:59so they'll say the annotation
  • 34:01is very minimal and not.
  • 34:05Very extensive. Because of all these
  • 34:08variations, one thing that we need
  • 34:10to do is to make sure that we have a.
  • 34:16What's the word look like?
  • 34:18An inquiry or a quality control of the data?
  • 34:22So once a year we need to reselect.
  • 34:25Once a year, twice a year we
  • 34:26select a few cases and make
  • 34:28sure that the diagnosis that
  • 34:30collected from Epic is accurate.
  • 34:32So we sort of need to do
  • 34:34a QA of the data, OK.
  • 34:39Uh. So the investigators can request
  • 34:44that material funded by repository.
  • 34:47Again we have two system,
  • 34:48one that does not allow for patient
  • 34:51identifier and another one that allows
  • 34:53for patient identifier depending
  • 34:54again on the level of the RV.
  • 34:57So then they explained if they want
  • 35:00fresh frozen part of embedded tissue,
  • 35:02whatever it is, blood,
  • 35:04whatever it is that they put in
  • 35:06the order and then we'll process.
  • 35:08Ever before any distribution disease
  • 35:10should be some quality assurance
  • 35:13that again that what I'm given
  • 35:15the investigator is what it is.
  • 35:17Unfortunately I'm the one
  • 35:18that does most of this,
  • 35:20but other pathologists are helping.
  • 35:22But sometimes as I said
  • 35:25lung and is a big group,
  • 35:27so I have to do all the lung quality
  • 35:30control and we also assessed the
  • 35:33patient consent form and assess the IRB.
  • 35:37Four things that we're going to
  • 35:39encounter as well with people that want
  • 35:41to do things out of the biorepository,
  • 35:43but they do not have an RP or the RB
  • 35:45doesn't say that that's what they can do.
  • 35:48So we have to do a little bit
  • 35:49of regulatory and they'll go
  • 35:51back to the investigator said.
  • 35:52Your RP does not say anything about using
  • 35:56bio specimen or using human tissue.
  • 35:58So they need to go back to the IRB,
  • 36:00amend the protocol and then we
  • 36:03can distribute material.
  • 36:05So the service that we do.
  • 36:08How do you prioritize distribution?
  • 36:10Let's say if you have like a ordinance,
  • 36:13who decides who gets what and what priority?
  • 36:16So do the. It is not much
  • 36:22of a problem because.
  • 36:24Very often, for instance,
  • 36:25the pancreatic team that's
  • 36:27assuming it's very active,
  • 36:29so there is the head of pancreatic.
  • 36:31If there is, if two investigators
  • 36:33asking for the same sample,
  • 36:34I can go to the head of the pancreatic
  • 36:37program and say which one is more
  • 36:40important here or we cannot find
  • 36:42something else in general if the patient
  • 36:45if one investigator has an NIH grant.
  • 36:48That takes priority of someone that
  • 36:50does not have an age grant or or
  • 36:52doesn't have a funding institution.
  • 36:54It's more important than NIH.
  • 36:55But so we we we prioritized by the
  • 37:02sourcing the fund of source and also
  • 37:04if there is more more dispute we
  • 37:06can go to the head of the program.
  • 37:09If there is no way then
  • 37:11I can make that decision.
  • 37:13We have a government body
  • 37:15that is I respond to the.
  • 37:18Associating or translational research.
  • 37:20So the bar repository is under the
  • 37:24administration of the associate team.
  • 37:27So that is the liaison building institution.
  • 37:30So basically if there is a conflict
  • 37:32that we need to then I can go to
  • 37:34the associate Dean and said this is
  • 37:35what I tried to receive a conflict,
  • 37:37what can we do?
  • 37:38And and then it is resolved in that sense.
  • 37:41But there is a line of escalation
  • 37:43that we can.
  • 37:44But as I said,
  • 37:45it is not very common because we
  • 37:47can always offer another case.
  • 37:49It it's very rare that someone
  • 37:51needs a very specific patient.
  • 37:53Correct for that specific protocol.
  • 37:56But of course if someone has a specific
  • 37:58protocol in that patient sign also
  • 38:00consent but that specific protocol
  • 38:02that is the one that goes not the patient,
  • 38:05the other investigator that
  • 38:06does not have that protocol.
  • 38:07So there are different levels of
  • 38:09of telling what is the government
  • 38:11for that expense.
  • 38:15So we have a fully.
  • 38:17Histologist service that
  • 38:18is mostly for research.
  • 38:20We don't do any clear any
  • 38:23tests there and we do.
  • 38:25We can do everything embedding,
  • 38:27cutting, frozen sections,
  • 38:29HNE, immune Histology,
  • 38:30immunohistochemical stains and
  • 38:32TMA's for the investigators.
  • 38:35We have a group that does nuclear
  • 38:38gas extractions from blood,
  • 38:39tissue frozen,
  • 38:40whatever it is saliva and they
  • 38:43can do RNA and DNA and this
  • 38:46is also an automated process.
  • 38:48Every single image that
  • 38:50is distributed we scan,
  • 38:51so there is also a virtual image of
  • 38:55that material that can be used for.
  • 38:58It is very a lot of AI or
  • 39:01artificial intelligence and
  • 39:02and digital pathology projects.
  • 39:04So they can be used for that
  • 39:06process and clinical trial support.
  • 39:08Clinical trial support is mostly
  • 39:10they need a archival biopsy to
  • 39:13make sure the patient can enroll.
  • 39:16So my team will go to pathology
  • 39:19find that block process the block
  • 39:21according to the the protocol
  • 39:23and then send it to the directly
  • 39:26to to the central lab.
  • 39:28That is during the clinical
  • 39:30trial or we go to collect a
  • 39:32specific biopsy for that clinical
  • 39:34trial process according to the
  • 39:36protocol and do the distribution.
  • 39:38So we sort of take care of all the
  • 39:40tissue and blood before research.
  • 39:46So this is a little bit of the distribution.
  • 39:48So blood is the one that is mostly
  • 39:51used because everybody. Yeah.
  • 39:53Not everybody works with tissue.
  • 39:55So percent of distribute,
  • 39:57these numbers are already outdated,
  • 39:59but I kept them anyway.
  • 40:01But the distribution is sort of stable.
  • 40:04So the blood is about
  • 40:0680% or 90% distribution.
  • 40:08The tissue is about 8020% distribution,
  • 40:11which is good, but it means that we have
  • 40:14a lot more tissue than we distribute
  • 40:16and other fluids is is low utilization,
  • 40:19but we don't collect a lot
  • 40:20of other fluids anyway.
  • 40:22So the. The the tissue.
  • 40:25Another thing that I've I did
  • 40:26not say is that, for instance.
  • 40:30We had a surplus of thyroid
  • 40:32and a surplus of prostate.
  • 40:35Utilization of those two
  • 40:37specimens at NYU is very low.
  • 40:40So we've reached the plateau,
  • 40:42no more collection.
  • 40:43So even if the patient consent,
  • 40:45we do not collect because we have a lot,
  • 40:48unless there is a specific
  • 40:49order for that patient,
  • 40:50OK.
  • 40:51So we can also decide when to
  • 40:53stop collecting if you have enough
  • 40:56of that material.
  • 40:57So this is just the
  • 41:00storage, you know like particularly
  • 41:0330,000 block is a lot so are
  • 41:05you are you handling that
  • 41:06very good. I forgot to mention that too.
  • 41:09So we have in house a few freezers.
  • 41:13And then NYU contracted another
  • 41:15outside vendor that we transferred
  • 41:18the freezer to that facility.
  • 41:20So they would do all the maintenance,
  • 41:22the temperature maintenance of that material
  • 41:25and once we need we just request that
  • 41:28material should be brought back to NYU.
  • 41:31So there is a freezer farm,
  • 41:33there are many commercial entities that
  • 41:36have that and you know you has a contract
  • 41:39with one that is now in New Jersey.
  • 41:41Of course this is expensive and that
  • 41:43is that's why we try to use as much
  • 41:46tissue as possible and link to the
  • 41:48collection of cases that are not used,
  • 41:50because it's a waste of resource to
  • 41:52have all these material and pay for
  • 41:55that without having any utilization.
  • 41:57Yeah, but that is what I mean
  • 41:59especially in Manhattan.
  • 42:01It's not very space is a little bit,
  • 42:04I don't know any other facilities
  • 42:06I have been I I have a.
  • 42:09Inspected other biorepositories
  • 42:11through the CIP program and they have.
  • 42:15A room full of freezes,
  • 42:16but they have the space.
  • 42:17That doesn't happen in New York.
  • 42:22So just to illustrate the the
  • 42:24nucleic acids we have automated,
  • 42:26we have two automated machines that can do
  • 42:28DNA and RNA extraction from large volumes.
  • 42:31So the investigators really take
  • 42:33advantage of that instead if
  • 42:34they're doing one or two cases,
  • 42:36they do it themselves,
  • 42:37but they're doing 100 cases, 200 cases.
  • 42:39It's easier to give it to us
  • 42:41and we provide the DNA RNA,
  • 42:44we do quality control and then we
  • 42:46shift the entire material directly
  • 42:48to the genomic center that will do.
  • 42:51The sequencing for them.
  • 42:54Just an example of how much
  • 42:56clinical trials is increasing and
  • 42:58we also increasing our support.
  • 43:00This 2015 was before my time I came in
  • 43:0316 and this is really always a growing
  • 43:06number of clinical trials that we are
  • 43:10involved in supporting these trials.
  • 43:12So this is very quick workflow,
  • 43:15the tissue comes or the blood comes.
  • 43:18It goes to the biorepository.
  • 43:20If there is an order for
  • 43:21DNA or any extraction,
  • 43:23we extract and then send it to distribution.
  • 43:26If there is a fresh tissue,
  • 43:28goes straight to distribution
  • 43:30or stays in the biorepository
  • 43:32and then it goes to Histology,
  • 43:34then a process and then distribute.
  • 43:37So everything is integrated and
  • 43:39every single project is different.
  • 43:41So it's not exactly the same for everybody.
  • 43:44So why it's important to have certifications?
  • 43:48Because that's an assurance of in the
  • 43:50investigator that we are doing everything.
  • 43:52So we are clap certified.
  • 43:53We have a license by the the New York
  • 43:56State and we also do proficiency tests
  • 43:58from the integrated biobank of Luxembourg,
  • 44:01which is supported by the International
  • 44:05Society of Biorepository IDL.
  • 44:08So we hold 11 certificates of
  • 44:11proficiency that includes nucleic
  • 44:12acid Histology and everything else.
  • 44:15So you know something we do every two
  • 44:17years to maintain to make sure that
  • 44:19we're doing the right things and it
  • 44:21increases the value and I have heard,
  • 44:24I've heard, I have seen comments
  • 44:26in grants that people say,
  • 44:28you know this patient, this, this.
  • 44:31Institution has a CAP accredited
  • 44:34by a repository,
  • 44:35so that's a plus for the
  • 44:38grant support that they have.
  • 44:41So this is basically our finances mostly.
  • 44:44So 19% is supported by Grant,
  • 44:48Grant based mostly the,
  • 44:51the, the personnel.
  • 44:53So we have some personnel that is
  • 44:55highly specific for certain grants.
  • 44:57Our biggest grants is the
  • 45:00Cancer Center grant and also.
  • 45:03Ischemic epic net and I'll
  • 45:05show you some breakdown later.
  • 45:07And this institutional support
  • 45:09is still about 30 to 40%.
  • 45:12It varies from year to year.
  • 45:14So these are we don't make
  • 45:16money by repository,
  • 45:18we can just reduce the amount
  • 45:20of loss from the institution or
  • 45:22investment from the institution.
  • 45:24But a lot of them,
  • 45:26they still have some significant
  • 45:27support and most of our resource
  • 45:29comes from chargebacks.
  • 45:31So every single process.
  • 45:32What we do,
  • 45:33we have to charge to investigate
  • 45:35again cultural change because not
  • 45:37everybody is interested in paying
  • 45:38something that they could get for free.
  • 45:40They think they can get for free,
  • 45:42but they are not getting the quality in
  • 45:44the material that they they have before.
  • 45:49This is mostly the breakdown of
  • 45:51the services or collections,
  • 45:53how much will recover clinical trials.
  • 45:56So this is all grant money from
  • 45:58everything that we get and research.
  • 46:00Archival is mostly recovering from the
  • 46:04pathology archival material tissue that
  • 46:07is used for research or for glucose.
  • 46:11So why pathologists?
  • 46:12We are the most qualified medical
  • 46:15professionals to do this by banking job.
  • 46:18We are very familiar with this
  • 46:20requisition with the clinical
  • 46:22implications and characterization of
  • 46:23these organs of these tumors or tissue.
  • 46:26And we are also very much familiar
  • 46:28with the quality assurance process
  • 46:30and quality standards for all this.
  • 46:32So we are already practicing this.
  • 46:35So that's why it is very important to have
  • 46:38a pathologist involved and in my situation.
  • 46:41As I said, it is very much associated
  • 46:44with the Department of Pathology.
  • 46:47So the challenge is with
  • 46:48difficult to predict the future,
  • 46:49we'll never know what you're collecting
  • 46:51if that's going to be needed.
  • 46:53So we need to be always flexible and
  • 46:56adaptable to what comes during the COVID,
  • 46:59the investigators in the center,
  • 47:01they wanted PBMC, some COVID.
  • 47:04So we collected the samples,
  • 47:06processed PBMC and utilization 0
  • 47:09because by the time they wanted this,
  • 47:12they already wanted something else.
  • 47:14So there is always a risk
  • 47:16that what you collecting.
  • 47:17Is not going to be used because
  • 47:19it's very difficult to predict.
  • 47:21As I said,
  • 47:22basically in connotation we need to have
  • 47:24support from a data core or someone that
  • 47:27can mine epic to get more annotation.
  • 47:30What's simple to collect
  • 47:32we already went over.
  • 47:34What is the technique that we need to invest?
  • 47:38And it needs a lot of IT support
  • 47:40for the data integration.
  • 47:41Without institutional support,
  • 47:42it's very difficult to have that IT
  • 47:45integration and again institutional support
  • 47:48and more important cultural change,
  • 47:50because it will require a cultural
  • 47:53change for the investigators,
  • 47:54from the clinicians and everybody
  • 47:56else involved in the process,
  • 47:58which is not impossible.
  • 48:00It is possible.
  • 48:01It creates a little bit of headache,
  • 48:03but it changes, which is true for everything.
  • 48:06It's not on for this so.
  • 48:08Just institutional resource.
  • 48:09I want to say that these are grants that.
  • 48:13We have supported and you know has been
  • 48:16very good in getting those grants.
  • 48:18I'm not saying that it's only
  • 48:20because of our repository.
  • 48:21Of course there is science behind it,
  • 48:23but the fact that there is a
  • 48:26biorepository that is well annotated,
  • 48:28it has been a plus for all these
  • 48:31grams that that NYU has received.
  • 48:35I have a question about
  • 48:37the support relationship.
  • 48:39So this four names your
  • 48:43repository therefore facility or
  • 48:45you have an independent group.
  • 48:47It is, it is very good.
  • 48:48What happened is a lot of the
  • 48:50applications for this sport,
  • 48:52they have the requirement
  • 48:53to have a pathology.
  • 48:54So very often there is
  • 48:56a pathologist involved.
  • 48:58There are two mechanisms that we can do.
  • 49:00We can keep everything in the
  • 49:02biorepository and then the
  • 49:03investigators take from there.
  • 49:05Or we do that for the Melanoma
  • 49:08spore that all these samples are
  • 49:10procured for us by abide the CBD and
  • 49:14then we release immediately that
  • 49:16sample to develop normally sport.
  • 49:18So they have their own annotations
  • 49:20and they're all by repository.
  • 49:22So you can do both.
  • 49:24You can keep everything in your central
  • 49:26repository or you can procure the
  • 49:28samples and then distribute to them.
  • 49:30And of course they have the financial,
  • 49:33you can do the charge back because they have.
  • 49:35The financial support to give
  • 49:37to the buyer repository.
  • 49:38So there are just two models that we can do.
  • 49:40Thanks for asking.
  • 49:41I forgot to mention that and
  • 49:43we do the same question.
  • 49:44How do you handle investigators
  • 49:46that are not there anymore or projects
  • 49:49that started acquired samples or you
  • 49:51made a distribution and then they leave
  • 49:53the institution or the project ends,
  • 49:55big problem. So this is a big problem
  • 49:59for the institution and we have
  • 50:02created a biospecimen policy for NYU.
  • 50:04So basically now requires that every
  • 50:07investigator that is collecting sample
  • 50:10independent of the viral repository to
  • 50:13have everything annotated in lab vantage.
  • 50:16I'm I'm saying lab vantage,
  • 50:17not a propaganda, anyone can use different,
  • 50:19but that's the one and why
  • 50:21you use this and I'm familiar.
  • 50:23So everybody needs to enter all
  • 50:25their specimens in advantage.
  • 50:27So once the investigator leaves,
  • 50:29that material comes to the viral repository.
  • 50:32So then I'll be responsible
  • 50:34for that material.
  • 50:35And this is a major challenge because
  • 50:38not everybody is making good annotations
  • 50:40and good good keeping of that material.
  • 50:44So that's part of the cultural
  • 50:46change that I think that is has to
  • 50:48come and it's slowly improving.
  • 50:50But that was something that is still
  • 50:53happening and it is always a problem
  • 50:56with someone who has leaves and then
  • 50:58they cannot take the samples and then
  • 51:00the samples are useless because there
  • 51:02is no annotation, don't know what it is.
  • 51:05And so it.
  • 51:08In a good way that it reinforced
  • 51:10to the institution the need for
  • 51:13a centralized biorepository that
  • 51:14can be responsible for others.
  • 51:16So you know what all these mishaps has been?
  • 51:20Very good for the central
  • 51:23Biorepository because basically yes.
  • 51:25And very fortunate that we have the
  • 51:28support of institutions says yes,
  • 51:30you're the ones that need to
  • 51:31take care of this.
  • 51:33Well, another word, do you have like?
  • 51:35Living in the institutional support,
  • 51:37let's say, you know,
  • 51:39during COVID or whatever reason you're not.
  • 51:41Getting, you know, distribution
  • 51:43events to to support yourself,
  • 51:45you know, being able to charge.
  • 51:47Do you have like a limit in the amount
  • 51:49that the institution will support?
  • 51:52I haven't encountered that even.
  • 51:55Yeah, it works even during the COVID
  • 51:58because a lot of the investigators, they.
  • 52:01The labs were closed, so they switched
  • 52:04a lot of their efforts into COVID,
  • 52:07so everything that we're collecting,
  • 52:08they would use.
  • 52:11So for COVID specifically,
  • 52:14the institution created a grant.
  • 52:17That they were provided to the investigators,
  • 52:20not outside the Grantwood
  • 52:21institutional grant, so.
  • 52:23Yes, I think the institution will take,
  • 52:26I don't know what is their
  • 52:28limit but they will do that.
  • 52:30And I also know there is now an
  • 52:33investigator a very big on genetics.
  • 52:35So he's trying to get to create the
  • 52:38genetic center at NYU and he's using a
  • 52:41lot of he doesn't have specific grants
  • 52:43for that generate preliminary data.
  • 52:46So the institution is provide him
  • 52:48with a grant to do that process
  • 52:51and that includes by repository.
  • 52:53So again it is.
  • 52:55Of course, there's nothing to do with me.
  • 52:57I'm not the one making those decisions,
  • 52:58but the institution make the decisions to
  • 53:01support investigators during that time.
  • 53:03So again,
  • 53:03that's that's what it is and that's
  • 53:05the model that I've been working.
  • 53:08So I can follow the question about
  • 53:12the party, the investigator.
  • 53:13Do you guys you know have an institutional
  • 53:17or like a formal institutional policy,
  • 53:20how you either allow certain investigator
  • 53:22to carry some of these with them?
  • 53:26There is a policy in general,
  • 53:29I'm not aware that they allow
  • 53:32investigators to take their samples
  • 53:34with them because everything is
  • 53:36considered institutional resource.
  • 53:38If there is a situation like that.
  • 53:41They're probably discussed
  • 53:42with the Dean or the the,
  • 53:45the, you know, I, I,
  • 53:46I'm not part of that discussion,
  • 53:47but there is a policy that institutes
  • 53:50that everything needs to be cataloged
  • 53:52in that specific system and that
  • 53:54they cannot take their material out.
  • 53:58Relations with the rest of the annotation.
  • 54:01So it wasn't a PC system.
  • 54:03Do you use the APR or is it
  • 54:06we we was epic beaker?
  • 54:09Think of that. I actually will
  • 54:12see either waiting on it.
  • 54:14Yes and no because we just had a transition
  • 54:18between power path to epic beaker,
  • 54:20so the whole system was created
  • 54:24to interface with power pad.
  • 54:27So now we bicker, we have to get again
  • 54:29the IT support to change that material and
  • 54:32then integrate with speaker. So it is a.
  • 54:35We're now integrated with weaker,
  • 54:37but there was that transition in the middle.
  • 54:40Another talk talking about that you're OK.
  • 54:45It is a. If you're going
  • 54:48traffic because I'm I'm now,
  • 54:49I'm used to it, it's fine,
  • 54:52I'm very used to it and I've
  • 54:53already forgot everything else.
  • 54:54But it is a learning curve.
  • 54:57It is a learning. Especially for
  • 55:00the for the pathologist notebook,
  • 55:01for the labs, it's more learning.
  • 55:03I think that's all.
  • 55:06Oh, just a just another example of
  • 55:08a paper that used material from the
  • 55:11biorepository that is published recently.
  • 55:14But no.
  • 55:15So just to conclude the bank can
  • 55:17deliver quality specimens and a
  • 55:19critical resource of the medical
  • 55:21science is an invaluable resource
  • 55:23to the increased needs of high
  • 55:25throughput technologies and accuracy
  • 55:27of data generated depending on
  • 55:30the quality of the vice specimen,
  • 55:32which is very, very important.
  • 55:34So this is the team.
  • 55:36We started with six people.
  • 55:37We are now 24 excluding me,
  • 55:4125 with me and we.
  • 55:45That is the the team that we have right now.
  • 55:49Thank you.
  • 55:53Yeah, so something more important.
  • 55:57I am just. Right now,
  • 55:59I don't need to be there every day.
  • 56:01Everything goes without me.
  • 56:03But Sandra Mendoza is the manager
  • 56:06and the assistant director,
  • 56:08and she's really the person
  • 56:10that maintains that,
  • 56:11the whole structure functioning.
  • 56:12So you need someone that
  • 56:14has to be there every day.
  • 56:16If you can have a pathologist,
  • 56:17great, but not always easy to get a
  • 56:20pathology should be that exclusively.
  • 56:21But you know, once someone is
  • 56:24trained and organized that is,
  • 56:26it works extremely well.
  • 56:28Thank you.
  • 56:31Question. Yes please.
  • 56:35And it was striking that you distribute
  • 56:3720% of your tissue samples but it
  • 56:40wasn't clearly how you decide what
  • 56:42to to that is no ones working on
  • 56:45sarcoma YouTube every what if I come
  • 56:47to you and I play on 110 that Jason's.
  • 56:52If you have that or how do you decide
  • 56:54what you collect and what you described?
  • 56:56So we collect everything from
  • 56:58patients that signed the consent.
  • 57:01So if there is a sarcoma,
  • 57:02will collect the sarcoma if there is,
  • 57:04even if there is nobody working
  • 57:06on it or there is no need for it.
  • 57:08What I stopped collectively is when
  • 57:10I have like I think I have like 1000
  • 57:13thyroids and thousands or more than 1000
  • 57:15prostate cancer and nobody requests it.
  • 57:18So I'm not going to order to get anymore.
  • 57:21But for other cases like head and neck,
  • 57:25head and neck is difficult to collect
  • 57:28because nowadays most patients it's a
  • 57:30tiny biopsy and then the patients get
  • 57:33therapy and then they take it out.
  • 57:35What is that over?
  • 57:36Not always there is viable tumor there,
  • 57:39but we collect from the head and neck.
  • 57:41We have some salivary glands,
  • 57:43we have sarcomas, we have a lot of.
  • 57:47We have trust funds,
  • 57:48we also collect the heart and lung
  • 57:51transplant material liver transplant.
  • 57:53So if the patient consent to recollect.
  • 57:56Then when you do it like so we
  • 57:58just keep it unless we have 1000
  • 58:00prostates they're getting old.
  • 58:02Are they still valuable.
  • 58:03They're still valid with as long
  • 58:05as they are annotated and we do
  • 58:07periodic quality assurance and
  • 58:09then if they if there is a problem
  • 58:11then we have to throw them out.
  • 58:13But in general they they
  • 58:15maintained very well.
  • 58:16They should if if you keep them in minus 80
  • 58:19or liquid nitrogen they they stay very well.
  • 58:21I did a A for a small project
  • 58:24we note remember that.
  • 58:26NYU had a sandy hurricane that came
  • 58:31and basically destroyed and why you you
  • 58:34were like almost one year without function.
  • 58:37So there was already sample.
  • 58:39This was before the Biorepository but there
  • 58:41was some samples there already collected.
  • 58:43So I wanted to see that material
  • 58:46was still viable and useful.
  • 58:48So we did a little project and we
  • 58:50published in the BIOREPOSITORY
  • 58:51during or whatever it is,
  • 58:52but basically saying that
  • 58:54it is good for Histology,
  • 58:55immunohistology.
  • 58:56RNA DNA extraction,
  • 58:58everything that we need that
  • 59:00issue is still useful.
  • 59:02So it it is quite resistant this issue.
  • 59:08So long you talk about whether you
  • 59:12connect any tissue or PEX or PO.
  • 59:18So basically the investigator will
  • 59:21place an order so like they want.
  • 59:27Small squamous cell carcinoma let's
  • 59:29just OK and then when I have a case
  • 59:33then we inform the the clinician the
  • 59:35this the investigator we have today
  • 59:37someone that is supposed to come for for.
  • 59:41For excision that has squamous cell
  • 59:43carcinoma, do you want the tissue?
  • 59:45So they will say yes or no.
  • 59:47Sometimes what investigates is tell
  • 59:49me because these two processes say if
  • 59:52the tissue comes until 3:00 o'clock
  • 59:54in the afternoon, I'll take it.
  • 59:56If the tissue comes 7:00 o'clock
  • 59:57in the evening, I don't want it.
  • 59:59I mean of course they need to
  • 01:00:01also work their workflow,
  • 01:00:03but that's how the the discussion
  • 01:00:05is done for every single order that
  • 01:00:08they displace and then once it comes
  • 01:00:11we they give the protocol so they
  • 01:00:13want to collect the tissue in RMI.
  • 01:00:15We give them an RMI,
  • 01:00:17each collect another sample,
  • 01:00:19another fluid, another vehicle.
  • 01:00:21We we doing that with you.
  • 01:00:24So we we adapt to whatever the
  • 01:00:27protocol of that investigator is.
  • 01:00:30But that's how we we've been
  • 01:00:32sending material.
  • 01:00:33Most of the PDX that people are xenografts,
  • 01:00:37that people working are
  • 01:00:40again long and ponderous.
  • 01:00:42So these are my biggest customers.
  • 01:00:47So Andreas, this is another situation,
  • 01:00:50I don't just pass it to CPR experience.
  • 01:00:53So what what happens if someone
  • 01:00:57investigator asking some?
  • 01:00:59A solid material.
  • 01:01:01Which started the organization,
  • 01:01:04not the your bank,
  • 01:01:05but it's part of the current case.
  • 01:01:07In other words,
  • 01:01:08it's like year or two years.
  • 01:01:11So yeah, so that's why our system is
  • 01:01:15integrated with the pathology system.
  • 01:01:17So everything this was a decision
  • 01:01:20of the Chair of pathology that every
  • 01:01:23single specimen that is in the
  • 01:01:25archival is available for research.
  • 01:01:27So is there any time limit? Like
  • 01:01:29there is no time limit,
  • 01:01:31the only thing is that. Uh.
  • 01:01:32In general, I make that determination,
  • 01:01:35see if there is a biopsy and
  • 01:01:38there is not enough material for
  • 01:01:39what that investigator wants.
  • 01:01:41I'll tell them this patient is not good.
  • 01:01:43Maybe you have to find another one.
  • 01:01:45If they just want an H&E,
  • 01:01:47which is easy,
  • 01:01:50but I haven't encountered,
  • 01:01:52I have encountered only one situation
  • 01:01:54that it was a patient in a clinical
  • 01:01:57trial for breast that they needed
  • 01:01:59the material from the archival.
  • 01:02:00So that material was given through
  • 01:02:03the central lab and then another
  • 01:02:06clinician that was not aware that
  • 01:02:08that patient was in a clinical trial
  • 01:02:11requested the test in that block.
  • 01:02:13So, but again it has really nothing to
  • 01:02:16do with me is basically saying informing
  • 01:02:18putting the two clinicians together say
  • 01:02:21this patient is part of a clinical trial,
  • 01:02:23the material has been central clinical trial.
  • 01:02:25So what we can do is to
  • 01:02:28request the block back.
  • 01:02:30We don't distribute blocks,
  • 01:02:32we just do IC like a scan.
  • 01:02:35But sometimes for clinical trials if
  • 01:02:37there is only one block that's very
  • 01:02:40important then we release the block.
  • 01:02:42But then we can request a block back
  • 01:02:44if there is a clinical situation,
  • 01:02:45but that it's not very common but
  • 01:02:48if the case is not signed out.
  • 01:02:50We will not release the I have.
  • 01:02:53We had one last week someone asked for.
  • 01:02:5820 unstained slides from a case that
  • 01:03:00was not signed either, said no,
  • 01:03:02because I don't know what's going.
  • 01:03:03You know,
  • 01:03:04clinical care is the most important.
  • 01:03:07After it is done, everything is done.
  • 01:03:10If they order,
  • 01:03:10all lung cancers go from molecular.
  • 01:03:12After they've done everything and.
  • 01:03:15If there is tissue left, you can use,
  • 01:03:17otherwise so it's a daily.
  • 01:03:20Case by case decision.
  • 01:03:23Thank you.
  • 01:03:25Thank you very much,
  • 01:03:26Andrew. Again, thank you.