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Role of Pathology in Cancer

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  • 00:00 --> 00:02Funding for Yale Cancer Answers
  • 00:02 --> 00:05is provided by Smilow Cancer
  • 00:05 --> 00:07Hospital and AstraZeneca.
  • 00:07 --> 00:09Welcome to Yale Cancer Answers with
  • 00:09 --> 00:11your host doctor Anees Chagpar.
  • 00:11 --> 00:13Yale Cancer Answers features the
  • 00:13 --> 00:15latest information on cancer care by
  • 00:15 --> 00:17welcoming oncologists and specialists
  • 00:17 --> 00:19who are on the forefront of the
  • 00:19 --> 00:21battle to fight cancer. This week,
  • 00:21 --> 00:23it's a conversation about the
  • 00:23 --> 00:25role of pathology and cancer
  • 00:25 --> 00:26with Doctor Angelique Levi.
  • 00:26 --> 00:28Dr. Levi is an associate professor of
  • 00:28 --> 00:31pathology at the Yale School of Medicine,
  • 00:31 --> 00:33where Doctor Chagpar is a
  • 00:33 --> 00:34professor of surgical oncology.
  • 00:36 --> 00:37Angelique, maybe we can start off
  • 00:37 --> 00:39by you telling us a little bit about
  • 00:39 --> 00:41yourself and what it is you do.
  • 00:41 --> 00:44So as a pathologist I am anatomic
  • 00:44 --> 00:46and clinical pathology trained
  • 00:46 --> 00:50so a PCP for short and
  • 00:50 --> 00:52have received fellowship training
  • 00:52 --> 00:54and in Cytopathology,
  • 00:54 --> 00:57a subspecialty of the discipline.
  • 00:57 --> 01:00I have also received some extra
  • 01:00 --> 01:04training and expertise in GU pathology,
  • 01:04 --> 01:06all of which I did
  • 01:06 --> 01:09way back at Hopkins and
  • 01:09 --> 01:12it's a combined program.
  • 01:12 --> 01:14If you do both anatomic
  • 01:14 --> 01:15and clinical pathology
  • 01:15 --> 01:17it used to be five years and now is
  • 01:17 --> 01:204 but you can do one of the two
  • 01:20 --> 01:22disciplines for a little less time now.
  • 01:22 --> 01:26And the anatomic focuses
  • 01:26 --> 01:29mostly on the study of tissue
  • 01:29 --> 01:31and working with a microscope,
  • 01:31 --> 01:33fluids and cells,
  • 01:33 --> 01:35whereas the clinical pathology focuses
  • 01:35 --> 01:38a bit more on laboratory testing,
  • 01:38 --> 01:41blood tests for example.
  • 01:41 --> 01:43So let's dive a little bit more into that.
  • 01:43 --> 01:46I mean, when we think about the role
  • 01:46 --> 01:49of pathology and cancer automatically,
  • 01:49 --> 01:51our brain kind of goes to, Oh yeah,
  • 01:51 --> 01:53it's the pathologists who kind
  • 01:53 --> 01:55of look at the biopsy and tell
  • 01:55 --> 01:57me whether or not I have cancer.
  • 01:57 --> 01:59Can you flesh out a little bit
  • 01:59 --> 02:01more about what it is you do and
  • 02:01 --> 02:02how you come up with that answer?
  • 02:02 --> 02:06I mean everything hinges on what you say,
  • 02:06 --> 02:08how much pressure is that,
  • 02:08 --> 02:09and how do you actually come
  • 02:09 --> 02:11up with the correct diagnosis?
  • 02:12 --> 02:14It's certainly a team
  • 02:14 --> 02:16from the very beginning,
  • 02:16 --> 02:19patients will go to either a hospital
  • 02:19 --> 02:22or a physician office and will have
  • 02:22 --> 02:25a procedure done so the procedure
  • 02:25 --> 02:28could be either a Pap test,
  • 02:28 --> 02:30screening test for cervical cancer,
  • 02:30 --> 02:32it could be a fine needle
  • 02:32 --> 02:33aspiration of a breast mass,
  • 02:33 --> 02:36or it could be a surgical procedure
  • 02:36 --> 02:39in the operating room where
  • 02:39 --> 02:42a tumor or an organ is removed, so
  • 02:42 --> 02:46all of those tissues come to the lab from
  • 02:46 --> 02:50those scenarios and in the lab, the
  • 02:50 --> 02:54histology component is where that
  • 02:54 --> 02:58tissue is transformed into a medium
  • 02:58 --> 03:03where it is put onto a glass slide and
  • 03:03 --> 03:06that process itself is quite intense.
  • 03:06 --> 03:08We have pathology assistants who help
  • 03:08 --> 03:11in the gross examination of these
  • 03:11 --> 03:14tissues when they come to the lab,
  • 03:14 --> 03:17especially the larger ones where they
  • 03:17 --> 03:21may note sizes of lesions they may sample.
  • 03:21 --> 03:23Areas that are critical,
  • 03:23 --> 03:24close to margins, etc.
  • 03:24 --> 03:27And those sections are then
  • 03:27 --> 03:30submitted in cassettes and processed,
  • 03:30 --> 03:33in an automated lab in a way that
  • 03:33 --> 03:36they are sliced and stained and put
  • 03:36 --> 03:39on glass slides for pathologists
  • 03:39 --> 03:42to then review at the time of a
  • 03:42 --> 03:45case review and in community practice,
  • 03:45 --> 03:47often it is just a pathologist,
  • 03:47 --> 03:50but here at academic centers we
  • 03:50 --> 03:52have trainees, residents,
  • 03:52 --> 03:54who are involved in that process.
  • 03:54 --> 03:57We have many sets of eyes that
  • 03:57 --> 03:59we call preview slides and then
  • 03:59 --> 04:01the pathologist sits down at a
  • 04:01 --> 04:03microscope to sign out.
  • 04:03 --> 04:05And that's actually transforming as well.
  • 04:05 --> 04:06Soon we might say we don't sit
  • 04:06 --> 04:09down at a microscope to sign out,
  • 04:09 --> 04:12but we may sit at a computer screen
  • 04:12 --> 04:16if we transform into the digital era,
  • 04:16 --> 04:18but we're not quite there yet.
  • 04:22 --> 04:26Then with a microscope is where we
  • 04:26 --> 04:28really do what we were trained to do,
  • 04:28 --> 04:31and you use your trained eye to look
  • 04:31 --> 04:34at the morphology of the tissue and
  • 04:34 --> 04:37see where it differs from what you
  • 04:37 --> 04:40have trained yourself to know what's normal.
  • 04:40 --> 04:43So identifying what's abnormal
  • 04:43 --> 04:46disease and in that then deciding
  • 04:46 --> 04:48whether it's cancer or not.
  • 04:48 --> 04:50So not every disease is cancer,
  • 04:50 --> 04:52and it's important in some cases
  • 04:52 --> 04:54where the presumption clinically
  • 04:54 --> 04:56might be a mass because of cancer,
  • 04:56 --> 04:58it's a really important piece to
  • 04:58 --> 05:01be able to say this isn't cancer,
  • 05:01 --> 05:03and so therefore no treatment is necessary.
  • 05:03 --> 05:05But at a Cancer Center,
  • 05:05 --> 05:10many of the referrals that come here often
  • 05:10 --> 05:12perhaps already with a preliminary
  • 05:12 --> 05:15diagnosis on a small biopsy of
  • 05:15 --> 05:17cancer and then our job sometimes,
  • 05:17 --> 05:19as pathologists, in a larger procedure, or a
  • 05:19 --> 05:24resection is to then go ahead and stage that,
  • 05:24 --> 05:26which means assign some more
  • 05:26 --> 05:28parameters around that diagnosis.
  • 05:28 --> 05:31So not only is it cancer,
  • 05:31 --> 05:33but it's a type of cancer that
  • 05:33 --> 05:36you want to kind of classify.
  • 05:36 --> 05:40It's given a grade as we call it,
  • 05:40 --> 05:42well differentiated, poorly differentiated.
  • 05:42 --> 05:45It might be given certain
  • 05:45 --> 05:49other parameters regarding size or margin.
  • 05:49 --> 05:50Different cancers have different
  • 05:50 --> 05:52parameters that are important,
  • 05:52 --> 05:55and all of those details are important
  • 05:55 --> 05:58in prognosis prediction and then
  • 05:58 --> 06:00treatment and usually
  • 06:00 --> 06:02associated then with outcome.
  • 06:03 --> 06:05So I want to pick up on a few
  • 06:05 --> 06:06things that you said there.
  • 06:06 --> 06:09So one was this whole process
  • 06:09 --> 06:11that really goes on that
  • 06:11 --> 06:14many people who have never stepped into a
  • 06:14 --> 06:17pathology lab might not know about which is
  • 06:17 --> 06:20when you have a biopsy done
  • 06:20 --> 06:23and your surgeon, your radiologist,
  • 06:23 --> 06:25whoever has done the biopsy,
  • 06:25 --> 06:27sends that specimen away.
  • 06:27 --> 06:29Oftentimes, it's the greatest
  • 06:29 --> 06:31amount of patient anxiety waiting
  • 06:31 --> 06:33for that result to come back.
  • 06:33 --> 06:36And sometimes it can take a few days,
  • 06:36 --> 06:38but there is all of this
  • 06:38 --> 06:41preprocessing that needs to go on.
  • 06:41 --> 06:44Can you give us a sense of how long
  • 06:44 --> 06:47these biopsy results can sometimes take,
  • 06:47 --> 06:50and why it's important to really be
  • 06:50 --> 06:52patient and wait for your pathologist
  • 06:52 --> 06:54to give you the right answer because
  • 06:54 --> 06:57as you say so much of treatment really
  • 06:57 --> 06:59rests on what the pathologist says.
  • 07:00 --> 07:02Absolutely, that pre-analytical phase
  • 07:02 --> 07:05that you're talking about is a big part
  • 07:05 --> 07:07of our processing in the lab and
  • 07:07 --> 07:10that's kind of a traditional laboratory
  • 07:10 --> 07:12setting where you know pathologists when
  • 07:12 --> 07:14we talk about where do you work,
  • 07:14 --> 07:16you work in the lab, well no,
  • 07:16 --> 07:17we actually work mostly in our offices,
  • 07:17 --> 07:19but much of what's happening
  • 07:19 --> 07:20before we even see that glass slide.
  • 07:29 --> 07:32An Accessioner is the first person in the
  • 07:32 --> 07:34laboratory that basically does the
  • 07:34 --> 07:38patient registration that assigns that
  • 07:38 --> 07:39specimen a unique number.
  • 07:39 --> 07:42Every specimen in pathology is assigned a
  • 07:42 --> 07:44unique number and that's how we identify it.
  • 07:45 --> 07:46The patient information,
  • 07:46 --> 07:48clinical identifiers are then entered,
  • 07:48 --> 07:51and that's a really important step in
  • 07:51 --> 07:53terms of specimens being identified
  • 07:53 --> 07:57properly and assigned to the right person.
  • 07:57 --> 08:00That is the first thing that happens and
  • 08:00 --> 08:04the next step is it goes to the gross
  • 08:04 --> 08:08Histology bench and so for small biopsies
  • 08:08 --> 08:11that are cores or maybe liquid,
  • 08:11 --> 08:12or a pap smear,
  • 08:12 --> 08:13just single cells,
  • 08:13 --> 08:15fixation is something that
  • 08:15 --> 08:17doesn't take as long,
  • 08:17 --> 08:20so fixation is something that
  • 08:20 --> 08:23happens in different chemicals,
  • 08:23 --> 08:26alcohol and or formalin.
  • 08:26 --> 08:28Now when these tissues are larger,
  • 08:28 --> 08:31as in the case of a large tumor
  • 08:31 --> 08:33or resection or a large organ,
  • 08:33 --> 08:36that fixation process can
  • 08:36 --> 08:39happen over a 12 hour period.
  • 08:39 --> 08:39Sometimes overnight,
  • 08:39 --> 08:40so for example,
  • 08:40 --> 08:44a prostate that is removed whole
  • 08:44 --> 08:47or a large breast excision,
  • 08:47 --> 08:49those are examples of tissues that
  • 08:49 --> 08:52take a long time to fix in formalin.
  • 08:52 --> 08:54So before those sections can even be
  • 08:54 --> 08:57taken to embed in those paraffin blocks,
  • 08:57 --> 08:59that process has to happen,
  • 08:59 --> 09:00and it's critically important for
  • 09:00 --> 09:03that process to happen
  • 09:03 --> 09:05because these tissues need to be
  • 09:05 --> 09:07able to be examined in sections
  • 09:07 --> 09:09in a way where the margins
  • 09:09 --> 09:12and all of those distinctions
  • 09:12 --> 09:14between things that are critically
  • 09:14 --> 09:15important for patient care,
  • 09:15 --> 09:17whether the person gets radiation
  • 09:17 --> 09:20or not is the margin positive.
  • 09:20 --> 09:22Those delineations are critically
  • 09:22 --> 09:25dependent on that fixation step,
  • 09:25 --> 09:28and that step is where we really
  • 09:28 --> 09:30need to wait, and we can't rush it.
  • 09:30 --> 09:33So we have some technologies,
  • 09:33 --> 09:35microwave assistance and other things,
  • 09:35 --> 09:38but in that process there
  • 09:38 --> 09:40are still very manual
  • 09:40 --> 09:43pieces that take time and then
  • 09:43 --> 09:46by the time that slide comes out,
  • 09:46 --> 09:48if the surgery was on a Monday,
  • 09:48 --> 09:51that glass slide may not even
  • 09:51 --> 09:54come to a pathologist's desk until
  • 09:54 --> 09:56the following afternoon.
  • 09:56 --> 09:57And if that following afternoon
  • 09:57 --> 09:59is the first time a pathologist
  • 09:59 --> 10:01is looking at a cancer,
  • 10:01 --> 10:04whether it's a complicated case or even
  • 10:06 --> 10:08a standard morphologic diagnosis of,
  • 10:08 --> 10:11let's say, breast cancer, there are still
  • 10:11 --> 10:13additional tests that will have to get done,
  • 10:13 --> 10:16and so those tests will include
  • 10:16 --> 10:18immunostains and other markers
  • 10:18 --> 10:20that are all very important that
  • 10:20 --> 10:23need to be included in the report.
  • 10:24 --> 10:27So a lot of those those markers are
  • 10:27 --> 10:30things that we have to then order,
  • 10:30 --> 10:32and again it's another day
  • 10:32 --> 10:33or overnight processing,
  • 10:33 --> 10:36and so each of these steps
  • 10:36 --> 10:39requires kind of another decision
  • 10:39 --> 10:41and potentially another test
  • 10:41 --> 10:44or stain or molecular marker, for example.
  • 10:45 --> 10:47So important for people not
  • 10:47 --> 10:49to rush the pathologist because as
  • 10:49 --> 10:53I tell my patients,
  • 10:53 --> 10:55everything rests on what they say.
  • 10:55 --> 10:57But having said that,
  • 10:57 --> 11:00many people nowadays are
  • 11:00 --> 11:02talking about second opinions,
  • 11:02 --> 11:04either a second opinion
  • 11:04 --> 11:05from their clinician,
  • 11:05 --> 11:07but also getting their pathology that
  • 11:07 --> 11:10may have been reviewed at one institution
  • 11:10 --> 11:12re-reviewed at another institution.
  • 11:12 --> 11:13So for example,
  • 11:13 --> 11:14if they get a second opinion,
  • 11:14 --> 11:18their outside pathology is often re reviewed.
  • 11:18 --> 11:21So can you talk about the importance of
  • 11:21 --> 11:24that and how often do pathologists disagree?
  • 11:24 --> 11:25I mean, are these diagnoses
  • 11:25 --> 11:27things that are black and white?
  • 11:27 --> 11:29That is pretty crystal clear when
  • 11:29 --> 11:31you see a cancer that it's a cancer.
  • 11:31 --> 11:34Or are there some nuances that
  • 11:34 --> 11:36allow for some variability in
  • 11:36 --> 11:38terms of pathologic opinion?
  • 11:38 --> 11:42I'll start by saying second opinions within
  • 11:42 --> 11:45any scenario are always a good thing.
  • 11:45 --> 11:48I think for another set of eyes to
  • 11:48 --> 11:53take a look at a cancer case is
  • 11:53 --> 11:57always good and in the vast majority of
  • 11:57 --> 12:00cases a confirmation is what you'll find.
  • 12:00 --> 12:03The confirmation of the original diagnosis.
  • 12:03 --> 12:06It becomes more important in certain
  • 12:06 --> 12:10scenarios, so certain cancers
  • 12:10 --> 12:12have required subspecialty training
  • 12:12 --> 12:15that not all pathologists have,
  • 12:15 --> 12:18where you practice,
  • 12:18 --> 12:19where you've trained,
  • 12:19 --> 12:21and what you've become an expert
  • 12:21 --> 12:24in really does matter and standards
  • 12:24 --> 12:26are different for different places.
  • 12:26 --> 12:28In the community setting,
  • 12:28 --> 12:30while there's very high
  • 12:30 --> 12:31standards of care there,
  • 12:31 --> 12:35they may not always see all of the unique
  • 12:35 --> 12:40rare tumors that we might have in a tertiary
  • 12:40 --> 12:41academic center.
  • 12:41 --> 12:44Whereas in an academic center like Yale
  • 12:44 --> 12:48we would be able to kind of explain a bit
  • 12:48 --> 12:51more if there are nuances to a tumor.
  • 12:51 --> 12:52So black and white,
  • 12:52 --> 12:54yes cancer or not,
  • 12:54 --> 12:56in the vast majority of cases.
  • 12:56 --> 12:58But for challenging cases,
  • 12:58 --> 13:01I think second opinions are definitely
  • 13:01 --> 13:04helpful with expert review and consensus.
  • 13:04 --> 13:06Daily Conference is something
  • 13:06 --> 13:09that is part of our routine,
  • 13:09 --> 13:11not always in all practices.
  • 13:11 --> 13:14So it's important to kind of
  • 13:14 --> 13:16understand the nuances of pathology.
  • 13:16 --> 13:18We're going to pick up this
  • 13:18 --> 13:20conversation right after we take a
  • 13:20 --> 13:21short break for a medical minute.
  • 13:21 --> 13:23Please stay tuned to learn more about
  • 13:23 --> 13:25the role of pathology in cancer
  • 13:25 --> 13:27with my guest Dr. Angelique Levi.
  • 13:28 --> 13:30Support for Yale Cancer Answers
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  • 14:17 --> 14:19survivors more hope than they
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  • 14:39 --> 14:42More information is available at
  • 14:42 --> 14:43yalecancercenter.org. You're listening
  • 14:43 --> 14:46to Connecticut Public Radio.
  • 14:46 --> 14:48Welcome back to Yale Cancer Answers.
  • 14:48 --> 14:50This is doctor Anees Chagpar
  • 14:50 --> 14:52and I'm joined tonight by my
  • 14:52 --> 14:53guest doctor Angelique Levi.
  • 14:53 --> 14:56We're talking about the role of
  • 14:56 --> 14:58pathology in cancer and Angelique,
  • 14:58 --> 15:00you know one of the things that you
  • 15:00 --> 15:01mentioned before the break that I
  • 15:01 --> 15:03was interested in is that you said
  • 15:03 --> 15:05we are getting close to a
  • 15:05 --> 15:08time when pathologists might not be
  • 15:08 --> 15:10looking down the microscope anymore.
  • 15:10 --> 15:13They might be looking at a computer
  • 15:13 --> 15:15screen and that brought to mind
  • 15:15 --> 15:17this whole concept of digital
  • 15:17 --> 15:20pathology and potentially the role
  • 15:20 --> 15:22of artificial intelligence in helping
  • 15:22 --> 15:25pathologists make that diagnosis.
  • 15:25 --> 15:27You talked a little bit before the
  • 15:27 --> 15:29break about some of the nuances.
  • 15:29 --> 15:31Can you talk a little bit about
  • 15:31 --> 15:34where you see digital pathology and
  • 15:34 --> 15:37the role of AI kind of playing
  • 15:37 --> 15:39into pathology as we move forward?
  • 15:39 --> 15:44Absolutely, the landscape is already
  • 15:44 --> 15:50changing and the field is rapidly evolving.
  • 15:50 --> 15:53And pathologists, I think are
  • 15:53 --> 15:57definitely stepping up and wanting to
  • 15:57 --> 16:03not just join this era of digital and
  • 16:03 --> 16:05artificial intelligence as you say,
  • 16:05 --> 16:07machine learning, but hopefully
  • 16:07 --> 16:11also take a role in leading that
  • 16:11 --> 16:13charge and for pathology there are
  • 16:13 --> 16:16so many potential applications as
  • 16:16 --> 16:19with everything AI is everywhere.
  • 16:19 --> 16:20We don't necessarily appreciate
  • 16:20 --> 16:23it from our phones and our apps,
  • 16:23 --> 16:26or for many the interfaces we do each day,
  • 16:26 --> 16:29but it's a tool no different
  • 16:29 --> 16:31than for pathology,
  • 16:31 --> 16:33maybe an immunostain and
  • 16:33 --> 16:35molecular marker or genetic
  • 16:35 --> 16:38profile and how we use that tool
  • 16:38 --> 16:42is largely dependent on
  • 16:42 --> 16:44what help or guidance a particular
  • 16:44 --> 16:47practice might be looking for.
  • 16:47 --> 16:50One example of AI and pathology as
  • 16:50 --> 16:53you mentioned or alluded to would be,
  • 16:53 --> 16:55helping to make a diagnosis
  • 16:55 --> 16:59or grading a tumor.
  • 16:59 --> 17:03So an area of study that I
  • 17:03 --> 17:06have pursued in GU pathology
  • 17:06 --> 17:07and in prostate cancer
  • 17:07 --> 17:10this is a common application now
  • 17:10 --> 17:15and there are already software
  • 17:15 --> 17:18companies that are promoting
  • 17:18 --> 17:22AI programs and software that can
  • 17:22 --> 17:25reliably help predict grades or
  • 17:25 --> 17:28Gleason scoring of prostate cancer.
  • 17:28 --> 17:33But it's not that simple.
  • 17:33 --> 17:38Depending on the cancers that might be
  • 17:38 --> 17:40seen in a given institution,
  • 17:40 --> 17:42whether it's more common,
  • 17:42 --> 17:46lower grade, or in a tertiary care center,
  • 17:46 --> 17:47much more complicated,
  • 17:47 --> 17:49higher grade,
  • 17:49 --> 17:52algorithms are kind of taught to
  • 17:52 --> 17:55answer a specific question or grade.
  • 17:55 --> 17:58So if you're looking for well differentiated
  • 17:58 --> 18:01prostate cancer 3 + 3 Gleason score,
  • 18:01 --> 18:03that might be one training set,
  • 18:03 --> 18:06whereas if you're looking for
  • 18:06 --> 18:09high grade prostate cancer,
  • 18:09 --> 18:11that is
  • 18:11 --> 18:13amenable not to resection,
  • 18:13 --> 18:14but further treatment,
  • 18:14 --> 18:16that might be another training
  • 18:16 --> 18:18software kind of algorithm,
  • 18:18 --> 18:20so much depends on
  • 18:20 --> 18:21the question being asked,
  • 18:21 --> 18:24and it's not just help in grading,
  • 18:24 --> 18:27but it could also just be help in detection,
  • 18:27 --> 18:30so different programs can be
  • 18:30 --> 18:34taught how to do different tasks,
  • 18:34 --> 18:36and another program might be in
  • 18:36 --> 18:38a better setting for community
  • 18:38 --> 18:41practice not to miss cancer
  • 18:41 --> 18:43as much as
  • 18:43 --> 18:46focusing on the grade because
  • 18:46 --> 18:48detection and preventing false
  • 18:48 --> 18:52negatives would really be the key
  • 18:52 --> 18:54perhaps in a Community setting
  • 18:54 --> 18:56with a lower cancer rate,
  • 18:56 --> 18:58whereas at the tertiary setting something
  • 18:58 --> 19:03that would be more helpful is perhaps
  • 19:03 --> 19:05an AI software algorithm that not
  • 19:05 --> 19:08just helps with detection or grade,
  • 19:08 --> 19:10but maybe with prognosis.
  • 19:10 --> 19:12And that's really the key,
  • 19:12 --> 19:15trying to discern what this AI can help
  • 19:15 --> 19:18with and how we'd like to apply it,
  • 19:21 --> 19:22tailoring the solution to the problem.
  • 19:22 --> 19:25But one of the questions is this.
  • 19:25 --> 19:28Are these technologies in use now?
  • 19:28 --> 19:30And is there a way for patients to
  • 19:30 --> 19:32know whether a particular pathology
  • 19:32 --> 19:35department is using that or not?
  • 19:35 --> 19:36For example,
  • 19:36 --> 19:39if I just had a biopsy at my
  • 19:39 --> 19:41Community Hospital and I want to make
  • 19:41 --> 19:44sure that they didn't miss a cancer,
  • 19:44 --> 19:47should I expect that they have that kind of
  • 19:47 --> 19:50technology that can help the pathologists?
  • 19:50 --> 19:52And if I'm not sure,
  • 19:52 --> 19:53is there a way to find out?
  • 19:53 --> 19:55There's always a way to find
  • 19:55 --> 19:57out and certainly just calling that
  • 19:57 --> 19:59pathologist on the bottom of the
  • 19:59 --> 20:01report would be the first step.
  • 20:04 --> 20:07Or wherever those procedures are done would
  • 20:07 --> 20:09certainly know within the department,
  • 20:09 --> 20:12I would say we're still on the cusp.
  • 20:18 --> 20:21I think right now in tertiary care centers,
  • 20:21 --> 20:25there are many kinds of testing and
  • 20:25 --> 20:27research scenarios and these
  • 20:27 --> 20:30are all kind of sprouting
  • 20:30 --> 20:33up now and it's not to
  • 20:33 --> 20:35be expected I would say because
  • 20:35 --> 20:39it requires so much investment and
  • 20:39 --> 20:43infrastructure.
  • 20:46 --> 20:50Whether it's cloud based
  • 20:50 --> 20:54memory or machine or human time,
  • 20:54 --> 20:57we can't expect that to all be there.
  • 20:57 --> 21:01Now I would say you know,
  • 21:01 --> 21:03in the future 5 to 10 years,
  • 21:03 --> 21:0510 to 15 years, I think
  • 21:05 --> 21:07then we can start
  • 21:07 --> 21:09to see where these
  • 21:09 --> 21:12applications are best suited,
  • 21:12 --> 21:16and imagine with all of this investment
  • 21:16 --> 21:21it would probably be helpful as a QC measure.
  • 21:21 --> 21:24You know there are always reimbursement
  • 21:24 --> 21:26codes for things that are additive,
  • 21:26 --> 21:28whether it's a stain or
  • 21:28 --> 21:30whether it's AI assisted.
  • 21:30 --> 21:33So I imagine in the future it would also be
  • 21:33 --> 21:36part of a report and so you know we're not
  • 21:36 --> 21:40there yet, but it does take a lot of time,
  • 21:40 --> 21:40infrastructure,
  • 21:40 --> 21:42and money frankly,
  • 21:42 --> 21:44and so until those costs come
  • 21:44 --> 21:46down or those partnerships are
  • 21:46 --> 21:48established, things
  • 21:48 --> 21:50may be commercially available
  • 21:53 --> 21:56at a price that is affordable for you.
  • 22:03 --> 22:07The other thing that is here now
  • 22:07 --> 22:10more and more in the cancer world is
  • 22:10 --> 22:12this whole concept of personalized
  • 22:12 --> 22:15medicine and so many clinicians are
  • 22:15 --> 22:17really now trying to unlock and
  • 22:17 --> 22:19understand the genomics of cancers.
  • 22:19 --> 22:22And we've certainly had guests on this
  • 22:22 --> 22:24show who talk about doing stains that
  • 22:24 --> 22:27look at a number of different
  • 22:27 --> 22:31genetic and genomic mutations that
  • 22:31 --> 22:34actually help in figuring out how
  • 22:34 --> 22:37a particular tumor may be treated.
  • 22:37 --> 22:40Is that done at the local pathology lab?
  • 22:40 --> 22:43What's the role of the pathologist in that?
  • 22:43 --> 22:45How do you decide which of these
  • 22:45 --> 22:48markers really needs to be done?
  • 22:48 --> 22:50What's the cost and is that standard
  • 22:50 --> 22:53of care or is that something that
  • 22:53 --> 22:55patients need to really individualize?
  • 22:56 --> 22:59So at the local level I don't
  • 22:59 --> 23:03think it's necessarily standard of care.
  • 23:03 --> 23:05Certainly immunostains,
  • 23:08 --> 23:11certain markers that are common
  • 23:11 --> 23:14to lay folks would be,
  • 23:14 --> 23:16we talk about estrogen and progesterone
  • 23:16 --> 23:18receptors for breast cancer.
  • 23:18 --> 23:19For example, ER,
  • 23:19 --> 23:22PR and certain molecular markers.
  • 23:22 --> 23:24I think in Community practice
  • 23:24 --> 23:27the idea is
  • 23:27 --> 23:29to partner often with
  • 23:29 --> 23:30another lab.
  • 23:30 --> 23:33Whether it's a tertiary center,
  • 23:33 --> 23:36a commercial lab that offers those
  • 23:36 --> 23:39tests because they are not able to
  • 23:39 --> 23:42have access to all of that in house,
  • 23:42 --> 23:45and so a lab like
  • 23:45 --> 23:47ours comes into play,
  • 23:47 --> 23:50where if we have something to offer,
  • 23:50 --> 23:53we can partner with other network hospitals,
  • 23:53 --> 23:54community hospitals,
  • 23:54 --> 23:57even other labs that might not have
  • 23:57 --> 24:00the same volume we do in a Cancer
  • 24:00 --> 24:02Center to provide all of these highly
  • 24:02 --> 24:05specialized tests that without a certain
  • 24:05 --> 24:07volume it's not affordable to run.
  • 24:07 --> 24:12So I think the same thing holds for
  • 24:12 --> 24:14additional molecular assays.
  • 24:14 --> 24:19Panel genetic profiling those are highly
  • 24:19 --> 24:23specialized areas and fields that
  • 24:23 --> 24:25without partnering with another kind
  • 24:25 --> 24:29of tertiary care center or larger
  • 24:29 --> 24:31lab specifically geared towards that,
  • 24:31 --> 24:33I think it's not
  • 24:33 --> 24:35expected at the local level.
  • 24:36 --> 24:38So are the decisions about what
  • 24:38 --> 24:40additional tests need to be done,
  • 24:40 --> 24:42so additional molecular
  • 24:42 --> 24:44tests and so on, EGFR VEGF,
  • 24:44 --> 24:46various mutational panels
  • 24:46 --> 24:49and so on are those decisions
  • 24:49 --> 24:53made by the pathologist, by the
  • 24:53 --> 24:55treating clinician, by a group?
  • 24:55 --> 24:57How are those decided?
  • 24:57 --> 25:00I think in the Community level
  • 25:00 --> 25:03the oncologist drives a lot of that because
  • 25:03 --> 25:06the oncologist sees on that leading edge
  • 25:06 --> 25:09what the potential drugs that are
  • 25:09 --> 25:13available that are targeted to a
  • 25:13 --> 25:16particular molecular change, and so in
  • 25:16 --> 25:19the Community setting,
  • 25:19 --> 25:21I think the oncologist takes that
  • 25:21 --> 25:25role more so in asking a pathologist,
  • 25:25 --> 25:28hey, there's a new drug and it targets
  • 25:28 --> 25:29this molecular marker.
  • 25:29 --> 25:32Is that something you do in your lab?
  • 25:33 --> 25:35Or is it something we can send out for?
  • 25:35 --> 25:36And then you know,
  • 25:36 --> 25:38the pathologist facilitates that.
  • 25:38 --> 25:40And so that I think happens
  • 25:40 --> 25:41more on the Community side,
  • 25:41 --> 25:44whereas I think in the tertiary care setting,
  • 25:44 --> 25:45like here,
  • 25:45 --> 25:48I think it is a bit more of a
  • 25:48 --> 25:50collaborative effort because there
  • 25:50 --> 25:53are there are the pathologists
  • 25:53 --> 25:56here who are doing those genetic tests
  • 25:56 --> 25:59and so we also have our tumor boards
  • 25:59 --> 26:01that while they have been outside
  • 26:01 --> 26:03at the Community level as well,
  • 26:03 --> 26:04I think in a Cancer Center,
  • 26:04 --> 26:06the tumor boards really are
  • 26:06 --> 26:08putting everyone at the table.
  • 26:08 --> 26:11Who has that subspecialty expertise?
  • 26:11 --> 26:13And so I think it's a bit more
  • 26:13 --> 26:15of a collaborative effort.
  • 26:15 --> 26:18And if there's something that is
  • 26:18 --> 26:20clinically warranted or a new drug,
  • 26:20 --> 26:24I think the pathologists here in a
  • 26:24 --> 26:28tertiary center are able to create
  • 26:28 --> 26:30these answers to some of
  • 26:30 --> 26:32those questions or research them,
  • 26:32 --> 26:35or they're already a line of research here
  • 26:35 --> 26:39in the department or collectively.
  • 26:40 --> 26:43Which segues nicely into you,
  • 26:43 --> 26:44know, one of my last questions,
  • 26:44 --> 26:47which is what are the exciting areas of
  • 26:47 --> 26:50research in pathology and cancer?
  • 26:50 --> 26:52I mean, it seems like pathology
  • 26:52 --> 26:55is so central to what we do.
  • 26:55 --> 26:57Are there some exciting developments
  • 26:57 --> 27:00that you see coming down the Pike
  • 27:00 --> 27:02in terms of pathology and cancer?
  • 27:03 --> 27:06Well, I definitely think the
  • 27:06 --> 27:08digital pathology component and
  • 27:08 --> 27:10the artificial intelligence piece
  • 27:10 --> 27:12is very exciting.
  • 27:13 --> 27:15It's entirely a new platform
  • 27:15 --> 27:18and revolution, so to speak.
  • 27:18 --> 27:20It's something that can be applied
  • 27:20 --> 27:22to all of the tools that we have
  • 27:22 --> 27:25and then it's a tool on its own.
  • 27:25 --> 27:29So what I mean by that is the
  • 27:29 --> 27:32ability to work with digital images,
  • 27:32 --> 27:35whether it's radiology or
  • 27:35 --> 27:38scanned pathology slide and
  • 27:38 --> 27:44with that scan slide use metrics or
  • 27:44 --> 27:47segmentation to detect changes
  • 27:47 --> 27:50that maybe even the human eye can't.
  • 27:50 --> 27:52And maybe it's not just about morphology,
  • 27:52 --> 27:55it's just a whole other level
  • 27:55 --> 27:58of detection
  • 27:58 --> 28:00in addition to our molecular
  • 28:00 --> 28:03assays and genetic profiles,
  • 28:03 --> 28:05is something that can on its own be
  • 28:05 --> 28:08additive and the exciting pieces when it
  • 28:08 --> 28:12is also its own prognostic indicator,
  • 28:12 --> 28:14and so we're always interested in
  • 28:14 --> 28:17knowing more about the meaning of
  • 28:17 --> 28:19the cancer and what effect
  • 28:19 --> 28:21that has on outcome and prognosis,
  • 28:21 --> 28:23and AI really has the potential
  • 28:23 --> 28:28to help each of these special
  • 28:28 --> 28:30techniques that we use and the
  • 28:30 --> 28:31ability to stand on its own.
  • 28:32 --> 28:34Doctor Angelique Levi is an
  • 28:34 --> 28:35associate professor of pathology
  • 28:35 --> 28:38at the Yale School of Medicine.
  • 28:38 --> 28:39If you have questions,
  • 28:39 --> 28:40the address is cancer
  • 28:40 --> 28:43Answers at yale.edu and past editions of
  • 28:43 --> 28:46the program are available in audio and
  • 28:46 --> 28:48written form at yalecancercenter.org.
  • 28:48 --> 28:50We hope you'll join us next week to
  • 28:50 --> 28:52learn more about the fight against
  • 28:52 --> 28:54cancer here on Connecticut Public Radio.
  • 28:54 --> 28:55Funding for Yale Cancer
  • 28:55 --> 28:57Answers is provided by Smilow
  • 28:57 --> 29:00Cancer Hospital and AstraZeneca.