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SLIDES
& TRANSCRIPTS
Monday,
June 17
Pathology
of Soft Tissue Sarcomas
Christopher Fletcher, MD
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As
we were involved in the planning phase, we were supposed to really
try to define questions rather than present data.
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So,
all of my talk is focused on trying to address where we are now,
the things we have done in recent years in pathology, what are the
shortcomings of what we do, and what do we need to do as we go forward.
I am going to try to take care not to overlap with Marc Ladanyi's
talk.
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Compare
if we had held this meeting 10 years ago. There are big changes
now. We are much better at diagnostic sub-classification. We tend
to not lump things together in the same way.
We have learned
to appreciate -- as clinicians, this is true as well -- we have
learned to appreciate that there is a biologic continuum in some
tumor types.
GIST -- since it is the thing that drove this meeting -- is one
perfect example; but it is really very, very difficult to prognosticate.
Clearly, because we have a continuum, you might think of SFT, solitary
fibrous tumor, the same way.
The various
grading schemes from the NCI and the French system have been validated
and tend to be useful. We have begun to incorporate the new and
molecular techniques, and there have been big, big studies that
have actually validated the correlations between cytogenetics and
morphology. We have also demonstrated that molecular testing can
be useful, but we haven't learned to use it widely, and I will come
back to that later.
The other big
improvement, I think, is that now when people set up big clinical
trials, they realize the importance of centralized pathology review.
There were many trials conducted in the past without central pathology
review, I think almost certainly with numerous misdiagnoses or at
least heterogeneous diagnoses included.
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If
we just look at the current status of where we are now in pathology,
I think one thing we have to address -- I don't know how we get
around it -- is that there is enormous geographic variation in the
available resources and how they are used and, therefore, in the
diagnoses rendered.
It relates very much to case volume. There are people -- everybody
in this room is interested in sarcoma and could reasonably classify
themselves as an expert --there are people in the room who may see
1,000 or 2,000 new cases a year, either pathologically or clinically,
and others who still feel they are an expert who only see 100 or
200. There is a huge difference in perception of disease according
to the volume that you see, and that is very hard to address in
terms of understanding biology.
The fact is
that, as we go forward, we continue to refine our morphologic classification.
Whether you like it or not, we keep inventing, and learning to recognize
new morphologic subdivisions which are often clinically very relevant.
I mean, if you think about desmoplastic small cell tumor 10 years
ago, low-grade fibromyxoid sarcoma -- the thing that takes 25 years
to metastasize -- those things we begin to recognize and make your
jobs easier.
We do classify
things increasingly meaningfully, I hope, and more and more cases
are now graded. Yes, there are still reports that you get that don't
have a histologic grade in them, but not huge numbers. This last,
diagnostic variability, occurred in the past because major textbooks
have helped to propagate decent diagnostic criteria.
Immunohistochemistry has become a very routine sort of part of diagnosing
sarcomas, and people have begun to use cytogenetics and molecular
genetics, but perhaps not as much as they should, and we will come
back to that.
Implicit in all this -- and it is something that people have struggled
with, and this is not me and my own bandwagon, it is a fact -- MFH
as a diagnosis is rapidly diminishing.
We now recognize
that it is a term that can only get used for the ragbag of what
is left of unclassified pleomorphic sarcomas, and that is reflected
in the new WHO classification that will come out in the fall.
There really
isn't anybody left who can define MFH as a reproducible entity.
Those of you who have huge databases with hundreds of MFHs in them
are not happy about that. They will bawl and they will quiver and
their chests will pound. Especially if they are a surgeon, there
is lots of chest pounding. The fact remains: with those data, you
have no idea what those tumors are. So, you are going to have to
learn how to address that. You will have to pay poor slobs like
me to go and reclassify them I suppose;
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but
it is going to be critical to moving the field forward. I know that
is something that people like Marian Sand feel quite strongly about
and that is why they are reappraising a lot of their cases.
It is hard to
collect large case numbers of a single histologic type outside of
the main sarcoma centers. In order to do that, you often depend
on consult material, which results in big issues in variability
and treatment and the way the tissue has been handled and so on.
As a group,
pathologists aren't that good at laying out their diagnostic criteria.
I now find, in reviewing any manuscript, I want to see whether they
have defined how they collected their cases?
They say, "We
retrieved 200 synovial sarcomas from our file." I want to know
what criteria they used to know they were synovial sarcoma. In the
past, some of these things were pretty sloppy. Now, they are much,
much stricter.
We don't always
use objective tests to validate diagnoses. There is still a tendency
to say, "It is what it is because I say it is", and that
is no longer good enough.
Now, one wants
to see objective support -- either from immunohistochemistry or
molecular genetics, if available and if relevant -- to support the
diagnoses.
I have mentioned already the big problem in variability of primary
treatment. So, you are going to have big problems in prognostic
studies, whatever happens.
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What
about just practical issues, day to day? These are all supposed
to sort of provoke you to think of things to discuss later in the
morning.
How much tissue
do we, the pathologists, need to make a diagnosis? That also depends
on how good the pathologist is, which is not sort of entirely fair.
In real life, there is big variability between an open biopsy, a
needle biopsy, or even a fine needle aspiration, which brings us
to this, what is the most appropriate biopsy technique?
You would like
to be able to ram a needle into somebody in the outpatient clinic.
It is quick, it is easy, it is cheap. You don't have to book time
in the OR, but it makes it much, much harder for the pathologist
to render a sensible diagnosis, because of the amazing heterogeneity
of sarcomas. If you put a needle in a breast cancer or a colon cancer
or a lung cancer, in large part it looks the same, wherever you
stuff the needle. In a sarcoma, you can routinely find five or six
different appearances, depending on where the needle went. If the
people doing the biopsies don't understand that, then that obviously
limits the ability of the pathologist to make a diagnosis.
The other big problem, of course, is that if you do use needle biopsies
and then you insist on giving preoperative neoadjuvant therapy of
any kind -- doesn't matter if it is radiation or chemo -- you should
not imagine that you are going to get a sensible diagnosis on the
resected specimen. Once they have been radiated or have had chemo,
then forget it. You can no longer classify most of them and any
grading is worthless unless, of course, they haven't responded at
all, but then you wouldn't believe that ever happened.
So, this is
a big issue. We have to think about this because we are going to
go back to having endless sarcoma NOS. That is just needle equals
sarcoma, let's roast it, and then all of a sudden you have got hundreds
of patients you have no idea what you have treated.
Now, if you
do give us some tissue, we have to decide how best to triage it.
Should we be giving all those tissues -- for cytogenetic analysis?
Should we always freeze some for molecular analyses? Should we be
sending stuff for EM and so on? This needs to get discussed. We
need to agree on what essential data should be there in the final
report. That has largely been addressed in reports and recommendations
from various organizations; but we need to get people to stick to
them.
I have already addressed the problem of variability in individual
experiences, that diagnoses rendered depend on how many cases you
see, just like the surgery depends on how many cases you see, and
we have to find a way around that. You can't -- clinicians haven't
succeeded in mandating that all sarcomas get treated by sarcoma
experts, even though we all know that patients would do a hell of
a lot better.
The same problem
applies with pathology. You would love it if you said they all have
to be sent to expert diagnosis centers around the country. It is
never going to happen. Yes, pathologists are just as bad as your
surgical colleagues, who screw everything up three times before
they refer the patient to you with a recurrent lesion.
What are you
going to do about MFH? We have to address that. Those people who
have got huge databanks full of MFH are going to have to think,
how are we going to readdress that problem? Then, I have mentioned
the impact of preoperative therapy already.
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Now, prognostication, which I thought fell into pathology, but Murray
here talked about it for a minute. I will just mention the things
that pathologists can do.
Histotype is
still probably the single most important predictor of prognosis,
and that is reflected in Murray's nomogram as well.
Histologic grade: we know the French system and the NCI system work
pretty well. The French one is best.
Proliferative indices and cell cycle indices, whether you are talking
about things like T67 or p53 and Rb, have been things that have
been proffered. In reality, they rarely improve upon decent grading
or mitosis counting.
That is something
that you may find strange. The fact is, just gazing down the scope,
counting mitoses, turns out to be just as prognostic and a lot cheaper
than staining something for T67. Of course, it is harder to publish
because it is not novel.
In Scandinavia,
there have been big studies that have shown that vascular invasion
is prognostically important; but we don't all routinely look at
that, and we have to consider whether that is worth doing.
Fusion genes
increasingly appear to have prognostic relevance, which Marc may
talk about; but we have to decide, are we going to use those in
clinical practice?
We could begin
to predict treatment response in different ways. For example, if
you are trying to distinguish between synovial sarcoma and PNST
and fibrosarcoma, if you know for sure it is synovial sarcoma, you
know there is a fair chance it is going to respond to ifosfamide,
whereas the other two might not.
You could say, looking at mutational analysis and GIST, there are
clearly different responses to Gleevec according to what kit mutation
you have. That could become part of a routine pathologic assessment,
and has become so in Oregon.
One thing we
don't do in soft tissue is to assess treatment response. In bone
sarcomas, everybody talks about looking at the resected specimen,
how much necrosis is present after it has been preoperatively treated.
My big problem
with that is, to this day, you cannot reliably distinguish between
spontaneous necrosis and treatment-induced necrosis. We have no
good way of assessing treatment response in sarcoma. We have to
decide whether that would be useful.
Tumor size:
we can all measure them. Actually, you have to remember that they
get measured more accurately on a bench than they do by an MRI.
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So,
there is the grading that we know splits things very nicely. The
good thing about the French system is that it dumps fewer cases
into the intermediate grade category, which you don't like because
you don't know what to do with them. So, the French system does
actually work better than the NCI system.
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Murray's nomogram, I think, is great, particularly for two reasons.
You will see the two factors which are most discriminate. In fact,
they spread right across from the zero to sort of the top end, a
histotype and histologic grade.
Those are the
two single most important discriminates, as was acknowledged in
Murray's paper.
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What
are the problems with prognostication? Well, we have to admit it,
we are not reproducible in histotyping.
There are a
lot of MFHs and fibrosarcomas in the older Memorial diagnostic sort
of categories, whereas those diagnostics virtually never get made
at Dana-Farber, haven't been made for the last 10 years. So, how
are you going to compare the data?
The grading
systems are not perfect. Some tumors are not susceptible to grading,
whether we like it or not. There are various histologic types that
you cannot apply the objective data -- things like clear cell sarcoma,
epithelioid sarcoma, and so on.
We don't want
to measure treatment response. One of the biggest problems is, right
now, there is very little routine molecular testing. We all love
to talk about it. Half this meeting will be devoted to it. How many
of you are using it on a routine basis? I would say it is probably
no more than 10 percent of even the people in this room who are
sarcoma fetishists.
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So,
we have to think about that. So, the question is, do we need to
develop histotype-specific grading schemes? If so, are we going
to have enough case numbers to do so?
Does fusion
gene or breakpoint testing have a wider role? If we decided that
the different EWS fusions in Ewing's sarcoma are prognostically
important to us, as several major studies have shown, then why aren't
we doing it? Can we find ways to measure treatment response? I suspect
not, but we have to think about it.
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Let's
just think about the feasibility of molecular testing in routine
practice. What we are really talking about now is the identification
of all those reproducible translocations with fusion genes that
have been very well characterized over the last 15 years, and which
we know we can use to validate diagnoses, and also increasingly
for prognosis -- things like Ewing's, alveolar rhabdo have fusion
genes which correlate with outcomes.
The same with
synovial sarcoma but not true in myxoid liposarcoma.
If we are going to do it, where are the resources going to come
from? In which laboratories are you going to put it? You can't put
it in a routine surgical pathology laboratory, where it is all dirty
and mucky and stuff. You need to have nice clean benches when you
are going to play with DNA. Somebody is going to have to pay for
it. If you bill for doing this testing right now, I can tell you,
you lose money hand over fist. So, most pathologists don't want
to do it.
Just for the
U.S. members of the room, which is 90 percent: for example, in our
lab, we bill $300 for doing a FISH analysis to validate an X18 fusion
gene. We get reimbursed $30. We genuinely lose tens of thousands
of dollars a year in running a FISH service. Where are we going
to find techs that can run all this stuff? How are we going to decide
what technique to use? You have all seen published data based on
RT-PCR; but we are completely lacking, based on the fact that we
have sort of, let's say, questionable RT-PCR with contaminated data.
Should we be using RT-PCR or should we be using FISH? These are
very different techniques. They require different sources.
Should they
be done in specialized centers only or does everybody want to do
it? If so, will it be meaningful if everybody does it? The short
answer to the latter is no, it won't, because people who don't do
it often enough won't do it right and there will be lots and lots
of hideous errors.
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Then,
there is the new world we now have in pathology that is a whole
different thing. This isn't so much to do with diagnosis. This is
now target identification. It is the thing that gives every med
onc in this room a little quiver, because they can chuck drugs at
a target.
Yes, instead
of saying, let's kill cells, we don't know quite how we do it and
let's hope we don't kill normal ones, you can now go for targets,
which is great. It is wonderful. It is a really exciting new phase
in sarcoma molecular oncology.
How are we going
to try to do this? You have already seen, those of you in this room
who have already addressed this problem -- that is probably many
of you -- the poor reproducibility of things like kit staining.
Is it a GIST or not, or has something other than GIST got kit positivity
so that I can give it Gleevec?
The short answer
to that is almost invariably no, and I wish you didn't ask, because
it is not -- how to put it? For tumors in which there is no good
evidence that kit is mutated or activated, there is no logical reason
to stain it.
I know we all have to deal with patients who are seven-eighths dead
with untreatable disease and you are willing to try to give them
anything; but it destroys the credibility of targeted testing if
you say, "Please, will you test this patient with ovarian cancer
or dedifferentiated liposarcoma, for kit?" Because that suggests
that one doesn't understand the biology of what we are dealing with.
I think it will
apply in due course to all these other ones. It is going to be people
in this room that are going to provide leadership in how that is
going to be achieved.
What are going
to be the best techniques for demonstrating these targets? If immunohistochemistry
isn't reproducible? Right now there are no decent antibodies to
PDGF receptor.
Any of you who
think you are getting immuno results from commercial labs that are
believable for PDGF receptor, you are fooling yourselves.
The pathologists
in this room have tried repeatedly -- and all reasonable pathologists.
The antibodies are garbage. The whole slide goes brown. You shouldn't
be basing your testing on that.
If so, should
it be Western blot? Should it be people like Jon Fletcher running
Western blots instead?
Should we be
having mutational analysis for kit mutations because it is prognostic
and more reproducible? If so, who is going to pay for it? Where
is it going to get done other than Oregon? Because they can't do
every GIST in the world.
Should we be thinking about downstream targets? As these tumors
become resistant to the initial, for example, Gleevec therapy, should
we know more about targets further down the line that can then be
switched off with different drugs?
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So, there is potential study that we have to think about in pathology
-- rigorous analysis and comparison of different prognostic parameters.
Right now, we don't know which is best -- histologic grade, Murray's
nomogram, gut feeling from experienced pathologists, or fusion genes.
I mean, it is that sort of wide a spectrum, and we really don't
know which is best.
We don't know
what is the best way to go about attaining wide genetic testing
-- FISH, RT-PCR, specialized labs, everybody's labs.
We have got
to learn whether it is worthwhile to measure treatment response,
but we have got to find ways of defining treatment response first,
because that may prove to be useful. It appears to have been useful
in osteosarcoma and Ewing's; but those are two relatively less common
diseases in bone, and bone pathology is different from soft tissue
pathology.
We really do have to address what sort of biopsies are ideal, particularly
if you are going to start using more and more preoperative therapy.
You have to know you are losing a huge amount of information if
you go for needle biopsy after neoadjuvant juices.
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Now,
what about just some practical research issues? We know -- and it
is a problem that plagues all of us in the room, and it is one of
the reasons there isn't a sarcoma SPORE and so on -- is because
it is a relatively rare disease, because there are more limited
case numbers, that is one of the big things that has made it harder
to get funding for a lot of research in sarcoma.
Yet, even though
they are low, you all know they actually carry disproportionate
biologic significance, not only because of their relatively greater
clinical prevalence in children, adolescents, young adults -- which
often scores lots of brownie points with grant-giving bodies --
but also because of these mechanisms.
It has been
this major source of these mechanistic paradigms -- the specific
translocations with relatively simple genotypes that are susceptible
to analysis, to work out these pathways of signaling that actually
cause these diseases and may determine their behavior.
The fact that
we have these well-characterized fusion genes, the fact that we
are now beginning to recognize all these receptor tyrosine kinase
pathways -- like in GIST, and undoubtedly in others -- EGF and synovial
and whatever -- doesn't matter.
The fact is, we are learning to identify a whole new set of pathways
that can get treated as well; but we need to find a way to get funding
for this work.
The other problem
-- particularly in pathology anyway -- is certainly pathology study
sections do not support translational research, period, and that
is not an exaggeration. It is a statement of fact.
If the conclusion
of this meeting was, all right, we need to collect huge numbers
of sarcomas and we need to get a group of pathologists together
who are going to decide whether RT-PCR or FISH is better or ELISA
-- because these techniques are prognostic across large numbers
-- one could not get the money to do that work, because it is too
clinically focused.
It is somewhat
easier in clinical study sections, where there is a different emphasis,
but in pathology in particular there is no funded translational
research through NIH.
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Some needs or questions we can finish up with. We need to work on
how best to achieve even greater diagnostic reproducibility. You
want to know that, if I see it or Sharon sees it or Brian sees or
what Pancras sees, you want to know that we are looking at the same
thing, that there isn't that much variability. Otherwise, data is
questionable.
I think pathology has come a long way in that regard; but we are
not perfect yet, because the fact is that not everybody is Sharon
or Brian or Pancras. Yes, there are still millions of pathologists
out there who don't do quite a perfect job.
How are we going
to get better at prognosticating in those tumor types with a biologic
continuum? And that is a real issue, and GIST is the perfect paradigm
for that. How are we going to better prognosticate in those tumors
that only give rise to metastases infrequently? The ones in which
you know there is some small metastatic risk, but you don't know
which patient it is going to happen to.
We need to decide
whether molecular genetic testing is feasible more widely; but it
has to be reproducible. How are we going to do it, and will it be
worthwhile doing?
We need to look at how we can optimize getting diagnostic and prognostic
information for what, at our end of the food chain, appears to be
increasingly limited biopsy material.
It is quite
interesting, actually, if you stop and think. In the centers that
are truly multidisciplinary, where sarcoma groups have got equal
representation from surgeons, from med oncs and pathologists --
most of those centers still use open biopsy, and it is all to do
with specialties talking to each other.
The centers
where maybe you don't have difficult pathologists nagging you saying,
"That is not enough tissue", then you get away more often
with a little biopsy.
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Slide 17: |
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The
fact is, as Murray's talk and in this I hope to show, is that right
now you all know pathology is central to your diagnosis and prognosis
of each of your patients.
So, we need
to optimize how we are going to go about this, and we want to try
to minimize variability. We have to try to work toward this.
We need to decide
about how we are going to introduce molecular genetics or functional
analysis in a routine setting. Since we all talk about it, we are
paying lip service right now to a fantasy, and we are not doing
it. We need urgent, larger-scale validation. Otherwise, we are like
the king with no clothes. Yes, we talk about it, but we just don't
do it.
The development
of these new, targeted therapies is creating a whole new role for
pathology, and we have got to find a way of standardizing for that.
Also, we have to decide how to respond to what is now consumer-driven.
It is not even
you guys demanding tests, but we have patients phoning up the whole
time, "Please stain my tumor for kit."
You have to sit there on the phone and say, "Actually, that
is not a good idea." And you have to explain to them why not.
That should in reality be coming from the clinic, rather than the
pathologists.
The fact is
that, to do most of these things, we are going to need larger collaborative
case numbers. So, there is going to have to be more and more emphasis
on bringing large groups together. Thank you.
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