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Science.
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The very word for many of you conjures
unhappy memories of boredom
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in high school biology or physics class.
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But let me assure that what you did there
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had very little to do with science.
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That was really the "what" of science.
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It was the history of what
other people had discovered.
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What I'm most interested in as a scientist
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is the "how" of science.
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Because science is knowledge in process.
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We make an observation,
guess an explanation for that observation,
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and then make a prediction
that we can test
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with an experiment or other observation.
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A couple of examples.
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First of all, people noticed
that the Earth was below, the sky above,
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and both the Sun and the Moon
seemed to go around them.
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Their guessed explanation was that
the Earth must be the center
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of the Universe.
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The prediction: everything
should circle around the Earth.
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This was first really tested
when Galileo got his hands
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on one of the first telescopes,
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and as he gazed into the night sky,
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what he found there was a planet, Jupiter,
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with four moons circling around it.
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He then used those moons
to follow the path of Jupiter
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and found that Jupiter also
was not going around the Earth
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but around the Sun.
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So the prediction test failed.
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And this led to the discarding
of the theory
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that the Earth was the center
of the Universe.
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Another example: Sir Isaac Newton
noticed that things fall to the Earth.
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The guessed explanation was gravity,
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the prediction that everything
should fall to the Earth.
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But of course, not everything
does fall to the Earth.
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So did we discard gravity?
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No. We revised the theory and said,
gravity pulls things to the Earth
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unless there is an equal
and opposite force in the other direction.
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This led us to learn something new.
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We began to pay more attention
to the bird and the bird's wings,
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and just think of all the discoveries
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that have flown from
that line of thinking.
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So the test failures, the exceptions,
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the outliers, teach us what we don't know
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and lead us to something new.
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This is how science moves forward.
This is how science learns.
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Sometimes in the media,
and even more rarely,
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but sometimes even scientists will say
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that something or has been
scientifically proven.
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But I hope that you understand
that science never proves anything
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definitively forever.
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Hopefully science remains curious enough
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to look for
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and humble enough to recognize
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when we have found
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the next outlier,
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the next exception,
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which, like Jupiter's moons,
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teaches us what we don't actually know.
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We're going to change gears
here for a second.
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The caduceus, or the symbol of medicine,
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means a lot of different things
to different people,
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but most of our public
discourse on medicine
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really turns it into
an engineering problem.
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We have the hallways of Congress,
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and the boardrooms of insurance companies
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that try to figure out how to pay for it.
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The ethicists and epidemiologists
try to figure out how best
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to distribute medicine,
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and the hospitals and physicians
are absolutely obsessed
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with their protocols and checklists,
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trying to figure out how best
to safely apply medicine.
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These are all good things.
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However, they also all assume
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at some level
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that the textbook of medicine is closed.
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We start to measure the quality
of our healthcare
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by how quickly we can access it.
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It doesn't surprise me that
in this climate,
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many of our institutions for
for the provision of healthcare
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start to look a heck of a lot
like Jiffy Lube.
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(Laughter)
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The only problem is that when
I graduated from medical school,
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I didn't get one of those
little doohickeys
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that your mechanic has
to plug into your car
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and find out exactly what's wrong with it,
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because the textbook of medicine
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is not closed.
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Medicine is science.
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Medicine is knowledge in process.
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We make an observation,
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we guess an explanation
of that observation,
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and then we make a prediction
that we can test.
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Now the testing ground
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of most predictions in medicine
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is populations,
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and you may remember from those
boring days in biology class
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that populations tend to distribute
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around a mean
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as a Gaussian or a normal curve.
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Therefore, in medicine,
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after we make a prediction
from a guessed explanation,
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we test it in a population.
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That means that what we know in medicine,
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our knowledge and our knowhow,
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comes from populations,
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but extends only as far
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as the next outlier,
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the next exception,
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which, like Jupiter's moons,
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will teach us what we don't actually know.
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Now I am a surgeon
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who looks after patients with sarcoma.
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Sarcoma is a very rare form of cancer.
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It's the cancer of flesh and bones.
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And I would tell you that every one
of my patients is an outlier,
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is an exception.
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There is no surgery I have ever performed
for a sarcoma patient
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that has ever been guided
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by a randomized controlled clinical trial,
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what we consider the best kind
of population-based evidence in medicine.
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People talk about thinking
outside the box,
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but we don't even have a box
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in sarcoma.
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What we do have as we take
a bath in the uncertainty
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and unknowns and exceptions
and outliers that surround us in sarcoma
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is easy access to what I think are
those two more important values
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for any science:
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humility and curiosity.
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Because if I am humble and curious,
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when a patient asks me a question,
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and I don't know the answer,
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I'll ask a colleague who may have
a similar albeit distinct patient
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with sarcoma.
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We'll even establish international
collaborations.
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Those patients will start to talk
to each other through chatrooms
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and support groups.
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It's through this kind of
humbly curious communication
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that we begin to try and learn new things.
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As an example, this is a patient of mine
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who had a cancer near his knee.
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Because of humbly curious communication
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in international collaborations,
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we have learned that we can repurpose
the ankle to serve as the knee
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when we have to remove the knee
with the cancer.
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He can then wear a prosthetic
and run and jump and play.
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This opportunity was available to him
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because of international collaborations.
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It was desirable to him
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because he had contacted other patients
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who had experienced it.
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And so exceptions and outliers in medicine
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teach us what we don't know,
but also lead us to new thinking.
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Now very importantly,
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all the new thinking that outliers
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and exceptions lead us to in medicine
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does not only apply
to the outliers and exceptions.
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It is not that we only learn
from sarcoma patients
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ways to manage sarcoma patients.
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Sometimes, the outliers
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and the exceptions
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teach us things that matter
quite a lot to the general population.
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Like a tree standing outside a forests,
the outliers and the exceptions
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draw our attention
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and lead us into a much greater sense
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of perhaps what a tree is.
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We often talk about losing the forests
for the trees,
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but one also loses a tree
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within a forest.
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But the tree that stands out by itself
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makes those relationships
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that define a tree,
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the relationships between trunk
and roots and branches,
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much more apparent.
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Even if that tree is crooked
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or even if that tree
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has very unusual relationships
between trunk and roots and branches,
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it nonetheless draws our attention
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and allows us to make observation
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that we can then test
in the general population.
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I told you that sarcomas are rare.
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They make up about 1 percent
of all cancers.
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You also probably know that cancer
is considered a genetic disease.
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By genetic disease, we mean that cancer
is caused by oncogenes
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that are turned on in cancer
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and tumor suppressor genes
that are turned off to cause cancer.
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You might think that we learned
about oncogenes
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and tumor suppressor genes
from common cancers
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like breast cancer and prostate cancer
and lung cancer,
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but you'd be wrong.
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We learned about oncogenes
and tumor suppressor genes
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for the first time
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in that itty bitty little one percent
cancers called sarcoma.
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In 1966, Peyton Rous