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Neoplasia lI

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    (From M1 Patients and Populations at University of Michigan Medical School. Lecture by Gerald Abrams, MD.)
    I think a good place to start is with
    this slide again, just to remind you that
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    one of the defining
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    traits of malignant
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    neoplasms is the ability to invade
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    more importantly even
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    as
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    a second defining characteristic is
    the ability to set up
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    underlying distant
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    and
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    discontinuous
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    secondary foci of growth. What this involves is cells
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    breaking off, leaving, what we
    call, the primary cells
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    getting
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    into the moving currents or fluids that
    flow into the body, let's say into the blood
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    or into the lymph
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    lodging at a
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    distance, in other words, here is the
    primary
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    clump of cells, these cells
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    float over there, they lodge and
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    get out of the vessel they are in
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    and they form a new nodule.
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    That's the process of metastasis.
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    That's what the process is called. The focus itself is called him a metastasis (or plural metastases).
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    and the
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    ability to metastasize
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    by all odds is the most lethal aspect of cancer.
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    And
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    that's the the feature that most often
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    makes a cancer incurable.
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    Sometimes a cancer is incurable
    because of local invasion, you know,
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    something wraps around the aorta or some other structure, you can't get at it,
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    that could be
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    lethal but it's usually metastasis. The sad fact is that
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    if you exclude skin cancers, many of which are in a different category, if you exclude those
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    about
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    thirty to fifty percent of
    patients who present to their doctors
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    with some signs and symptoms that turn out to be cancer, about thirty to
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    fifty percent already have metastases.
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    So it's something that really
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    is the biggest roadblock
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    to successful treatment.
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    So again these defining characteristics
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    are invasion and metastasis. Now
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    these abilities, to talk first about invasion and metastasis together,
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    are not just a matter of cell proliferation
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    in other words, it's not the matter of fact
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    that the cancers proliferating in the
    primary so much that the cells get squeezed
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    out and they move. That's nonsense.
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    Some primaries grow very large and then
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    never leave
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    the local area. These neoplasms acquire
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    the
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    cells in the neoplasm gradually acquire the ability to invade
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    and to metastasize, and again these
    represent an accumulation
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    of different kinds of mutations very likely giving the cells the
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    the ability to
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    do this.
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    Now metastasis I would emphasize
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    is a very complex cascade of events,
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    it's not just whoops!
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    but involves the
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    cells first of all invading, getting through that extracellular matrix,
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    breaking through basement membrane,
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    getting into a vessel whether it's a
    blood vessel or a lymphatic, floating
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    with the stream and surviving
    during that flotation, which is another
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    nice trick, lodging
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    somewhere,
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    being able to extravasate, get out of that
    vessel where it lodged,
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    and set up housekeeping and get all of
    the requirements for growing another nodule.
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    this is sort of, its been
    likened to, a decathlon event. You have to
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    a lot of events to be a successful metastasis.
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    win
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    and
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    there are three primary roots, this one is the lesser but
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    cells
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    can metastasize via the bloodstream, via the lymph flow
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    and sometimes directly.
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    Now here
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    for instance, just to illustrate this,
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    here is a clump of cancer cells within a
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    tiny vein
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    within adipose tissue.
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    This was actually
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    in a breast that had been removed by mastectomy, this was, in other words,
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    primary cancer of the breast.
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    What had happened here
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    a tongue of cells had
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    broken through a venule wall somewhere upstream
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    and here you see it caught in the act of floating
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    with the blood.
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    Now there's a certain predictability to where the metastasis will go. In this case,
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    this is coming from the breast. Eventually
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    these venules are going to go into veins which are going to flow into
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    the superior vena cava. The cells
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    aren't going to lodge anywhere along there because the vessels are getting bigger
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    and bigger. And
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    they
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    go to the right side of the heart out the pulmonary artery.
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    Pretty soon, these cells
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    are going to encounter the capillaries in the lungs where they are going to lodge.
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    Metastasis,
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    a cell clump like this, if it's successful, may
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    very well
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    end up in the lungs.
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    Now you haven't studied this in gross anatomy yet, you're just beginning gross,
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    but
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    I'll tell you that for instance
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    the blood flow drainage, the venous drainage of the GI tract
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    goes into what we call the portal vein, which is
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    a big vein
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    that goes into the liver.
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    Now the cells, if these cells had broken out of a gastric cancer,
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    and
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    were in the veins draining the stomach, they would
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    go into this portal vein and then the first capillary bed
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    they hit is the liver.
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    So you'd
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    find metastases in the liver, you'd predict metastases in the liver.
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    Or if you had a malignancy in the soft tissues
    of the leg,
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    the cells would eventually get to the inferior vena cava, up to the heart,
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    and into the lungs.
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    So it turns out that the lungs
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    and the liver constitute the two big filters in the body
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    and they catch a lot of metastases.
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    Now this is nowhere
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    near being entirely predictable for the
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    following reasons,
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    the cancer cells don't necessarily lodge
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    permanently
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    in the lungs or the liver.
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    they change their shape, they squiggle around,
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    let's say coming from the GI tract, they may get
    through the liver
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    into the
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    inferior vena cava up to the
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    heart and out anywhere in the body.
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    So it turns out that really practically
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    speaking, cancer cells once again in circulation are all
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    over the place
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    and
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    it also turns out that there are secondary factors
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    that determine where the metastases will occur
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    For instance,
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    we know that cancer cells get out
    systemically. We rarely see metastases
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    in skeletal muscle. I have no idea
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    why.
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    But we rarely do.
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    It turns out that certain cancers have a propensity
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    to set up metastases in one
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    set of tissues and certain cancers
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    have a propensity to set up metastases in another set of tissues. It's as if they
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    favor the "taste"
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    of
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    one tissue
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    over another, and you'll learn these patterns, I'm not going to afflict you with them.
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    They are
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    to an extent predictable.
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    So that's the situation with hematogenous metastases, liver, lung,
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    many other places as well. It's a systemic process
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    Here are cancer cells in a lymphatic.
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    You probably know less about lymphatic
    channels than you do about blood channels but these are
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    basically
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    they start from small, thin walled
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    vessels like this and
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    and any particular organ
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    almost all organs in the body have a rich lymphatic drainage. The lymph
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    is drained
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    into bigger
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    bigger lymphatics. These enter what we call regional lymph nodes.
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    which we'll study in detail, but these are
    basically like little filter beans
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    and
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    a clump of
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    cells like that may well lodge in a regional lymph node.
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    Now
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    what denotes a regional lymph node?
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    In the case of the bowel,
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    the regional lymph nodes are in the mesentery. In the case of the
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    breast, the regional
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    lymph nodes are in the armpit, that's where the lymph is draining.
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    case of the mouth and throat, the regional lymph nodes are here in the neck.
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    In the
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    And there's
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    a certain predictability
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    so that if you have a big cancer in the
    mouth, you're going to
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    worry about the cervical lymph nodes or the
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    or the breast you're going to worry about what's going on in the axilla.
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    Cancer operations generally involve
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    either excavation or sampling of the
    regional lymph nodes to see whether the cancer
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    has spread from the primary there.
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    Now
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    this predictability again can break down because
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    lymph nodes are not perfect filters,
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    whatever you might think,
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    these cells might lodge temporarily in a lymph node and some of their progeny
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    maybe goes scooting out the other side in the
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    efferent lymph which
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    is going to go to other lymphatic channels and eventually dump into the
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    superior vena cava and
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    join
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    the systemic circulation.
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    So it turns out that cancer,
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    we have to conceive of it is a
    potentially systemic disease,
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    One comment
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    here about metastasis is the possibility of direct metastasis.
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    By that I mean
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    the cells are not picked up in the blood or lymph, but
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    if they enter
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    a cavity, let's say the peritoneal cavity,
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    and can drift
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    or swim or float
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    across the peritoneal cavity and lodge
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    anywhere in the lining
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    of the peritoneal cavity, it's a sort of direct
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    metastasis.
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    We see this
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    one
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    that comes to mind is the ovary.
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    The ovary sit out in the pelvis,
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    in the open so to speak, in the peritoneal cavity. Ovarian cancers notoriously
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    will just seed cells into the peritoneum and they'll land
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    anywhere in the peritoneum
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    and set up these metastases.
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    A variation on
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    this that we don't often see is that the surgeon's knife
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    may pick up
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    some cancer cells and
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    we'll find a recurrence in the incision or something of that sort.
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    More or less
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    a direct, iatrogenic (physician caused) metastasis.
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    But again
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    metastases
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    represent a hop skip and jump, it's not direct invasion to
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    get over here, it's a jump
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    to get over there.
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    A thing to point out is that the
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    metastasis does not have the
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    the characteristics of the organ that it lands in, it keeps the
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    characteristics of the primary tumor. In other words,
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    these metastasizing cells are the genetic progeny
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    of the primary, so they're going to look like it. If the neoplasm
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    neoplasm in the primary was making funny
    glands, the metastasis
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    will probably make funny glands.
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    It's a chip off the old block.
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    That has some some interesting implications there which you'll get into
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    in future years.
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    But just
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    think of it as as a process whereby a single primary can give rise to many metastases.
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    They can be
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    at a great distance, it can be four feet away from
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    the primary and
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    it can
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    be very devastating and I will show you
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    some examples of this.
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    This is carcinomatosis which refers to a diffuse spread
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    of
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    cancer.
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    This was the lining of the diaphragm, in other words if i took a piece of diaphragm,
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    cut it out
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    and you're
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    looking at the under surface of the diaphragm lined by peritoneum,
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    this was from a patient with ovarian cancer,
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    and every one of these little plaques is a
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    few million cancer cells growing as a direct
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    metastasis.
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    Now I'm going to give you a long shaggy dog
    story, here is a
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    specimen of peritoneum,
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    this is if I took a couple of pieces of body wall
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    cut them out and you're looking at the
    peritoneal surface
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    of the inside of those pieces
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    and you can see studded
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    with a couple a hundred little tiny black
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    spots and here it's actually become kind of almost a confluent
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    sheet of neoplasm.
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    And
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    you'd say yeah this looks like
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    many little nodules, why do you suppose it's black like that?
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    Any thoughts?
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    Well, the cells are making melanin, this is a
    malignant melanoma
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    which may have heard about. Now
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    I'm
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    getting ahead of your knowledge of histology, but there are no cells in the
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    peritoneum that make
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    melanin normally, so that means these are visitors from somewhere else,
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    so clearly just by
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    the sheer numbers and by the fact that it's melanoma
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    we can say that these are metastases from somewhere else.
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    I'll let the plot thicken a little bit, here was the liver
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    from the same case.
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    The normal liver is studded with probably thousands of metastases.
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    This is grown together in a big, horrible
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    mass which had broken through the hepatic capsule,
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    and the normal liver does not contain melanin producing cells.
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    That fact and the fact that that these
    are so multiple
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    says that this liver is riddled with hematogenous metastases.
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    Where do you think the primary was?
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    Someone said it.
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    Skin. That'd be your first bet.
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    Because melanoma is a common story.
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    But you're wrong. Eyeball.
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    This is a bad picture, I screwed up and am
    not a photographer, but there you see the
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    reflex from the flash, but just behind it
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    there's a little lump
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    there
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    and that is the primary neoplasm.
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    Now this tells another story.
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    This patient presented with a visual disturbance and the ophthalmologist saw this
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    and said this eyeball has to come out.
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    And the eyeball was taken out.
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    It is our job as pathologist to assess
    whether the excision
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    has been complete.
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    And so we sample the various coats of the eye thoroughly to see if the melanoma
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    cells had penetrated through and if there any left in the in the orbit.
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    And the answer
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    to it is no.
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    Looks clean.
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    I hope the surgeon didn't say this but this sometimes gives rise to the statement:
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    we got it all!
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    Now this patient did fine after removal
    of the eyeball, did fine for several years.
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    With
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    absolutely no evidence of metastases.
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    Then something happened, God knows what,
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    the patient just
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    went downhill within a period of weeks and died
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    and had metastases all over the
    body.
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    That brings up another interesting point which I'll just tease you with and
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    that's the phenomenon we call dormancy.
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    It was very clear from the story
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    that we had taken out the primary
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    and there was never any recurrence in
    the orbit and so that what that says is
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    these melanoma cells have gotten into
    circulation
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    that there were tiny occult metastases
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    at the time the eyeball was taken out
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    and they chose not to grow
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    for several years
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    and then something changed and they grew.
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    And we see that sometimes.
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    In other words earth eighteen months survival or two years survival or five year survival
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    is a statistical thing, but
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    sometimes
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    it doesn't
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    matter.
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    So this illustrates
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    the fact that that metastases can be very distant from the primary,
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    they can
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    be
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    millions of metastases from one primary
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    and also I threw in this whole
    phenomenon of dormancy which is a bit unusual
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    but it happens.
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    I'll show you some other mets.
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    Here's a lung of a youngster.
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    Every one of these is a nodule of neoplasm, the other lung looked just like this.
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    This happens
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    to have been a primary in the kidney which
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    got to the lungs through the renal veins, the vena cava, and on up.
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    The good news is that we can cure many of these, not at this stage, but we
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    can prevent it from reaching this
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    stage now.
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    Here's an interesting one that we see very often, this is a vertebral column which
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    I sliced in a band saw
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    so you're looking at a couple of mirror
    images and this is a pretty normal
  • 17:20 - 17:24
    vertebra up here, this is an intervertebral disc up here.
  • 17:24 - 17:28
    These two lower vertebrae you see these whitish areas
  • 17:28 - 17:28
    here and here.
  • 17:28 - 17:30
    These were very
  • 17:30 - 17:34
    dense bone, and interestingly
  • 17:34 - 17:38
    what this represents is metastasis to the bone,
  • 17:38 - 17:42
    it stimulates bone formation around the cancer cells, it's something
  • 17:42 - 17:45
    we call an osteoblastic
  • 17:45 - 17:46
    phenomenon
  • 17:46 - 17:47
    or an osteoblastic metastasis.
  • 17:47 - 17:48
    This would have shown up
  • 17:48 - 17:51
    as a density on the x-ray
  • 17:51 - 17:55
    under the microscope, there's a lot of bone there
    but cancer cells throughout
  • 17:55 - 17:59
    and usually cancer cells reach the bone
  • 17:59 - 18:01
    via the hematogenous route.
  • 18:01 - 18:04
    Could be anything, I mean if someone showed
    me this, I'd say it's metastatic something or other
  • 18:04 - 18:07
    from somewhere or other
  • 18:07 - 18:10
    but you will learn for instance that
    breast
  • 18:10 - 18:14
    very often breast cancer very often goes
    to bone. Prostate cancer notoriously goes to bone.
  • 18:14 - 18:16
  • 18:16 - 18:20
    I won't bore you with the list, but you're going to learn as you study oncology
  • 18:20 - 18:21
    what the likelihood of
  • 18:21 - 18:24
    I mean if this came from a
  • 18:24 - 18:26
    middle-aged woman with
  • 18:26 - 18:30
    with a breast nodule, I'd say breast cancer. If it came from an elderly guy with
  • 18:30 - 18:34
    urinary tract obstruction, I'd say look at his prostate.
  • 18:34 - 18:38
    So that is an osteoblastic kind of metastasis.
  • 18:38 - 18:41
    Here is a different one,
  • 18:41 - 18:43
    this one has another story associated with it.
  • 18:43 - 18:46
    This was a 42-year old guy
  • 18:46 - 18:49
    who came in with back pain and he was a
    manual laborer that did heavy labor
  • 18:49 - 18:53
    and everyone thought at first well you
    know it's some orthopedic
  • 18:53 - 18:54
    injury
  • 18:54 - 18:58
    until they got an x-ray of his back and
    discovered that one of the vertebrae was
  • 18:58 - 18:59
    essentially turned to mush.
  • 18:59 - 19:01
    Here's a normal vertebra here and here.
  • 19:01 - 19:04
    Here's a disc and this is a
  • 19:04 - 19:08
    osteolytic metastasis, it turned out that there was a metastasis
  • 19:08 - 19:13
    that completely destroyed the bone and it simply collapsed.
  • 19:13 - 19:18
    Now this man presented because of his metastasis, that sometimes happens,
  • 19:18 - 19:20
    it may not be the primary, it turned out he was a
    heavy smoker
  • 19:20 - 19:22
    and had a small,
  • 19:22 - 19:24
    inapparent
  • 19:24 - 19:27
    bronchogenic primary, in other words, a
    lung cancer
  • 19:27 - 19:31
    and it metastasize to his bone without even causing any ruckus.
  • 19:31 - 19:35
    He probably had a little cough as all smokers do
  • 19:35 - 19:36
  • 19:36 - 19:38
    but presented because of the metastasis
  • 19:38 - 19:41
    This was
  • 19:41 - 19:44
    another smoker incidence, I remember
  • 19:44 - 19:47
    this one very well,
  • 19:47 - 19:49
    the patient came in convulsing, signs of
  • 19:49 - 19:52
    increased intracranial pressure.
  • 19:52 - 19:53
    They
  • 19:53 - 19:57
    had to take him to the operating room very quickly to decompress the brain
  • 19:57 - 20:00
    and save him from dying from
  • 20:00 - 20:02
    the pressure and
  • 20:02 - 20:04
    my colleague
  • 20:04 - 20:06
    sent me a piece of this
  • 20:06 - 20:10
    to look at it quickly with what we call
    a frozen section. You freeze a tissue and
  • 20:10 - 20:12
    make a quick section of it
  • 20:12 - 20:14
    It was easy to say this isn't
  • 20:14 - 20:16
    cancer arising in the brain
  • 20:16 - 20:19
    because it didn't look like that. It looked like a cancer that came from somewhere else.
  • 20:19 - 20:22
    This is not rocket science, you'll learn how to do it in the spring.
  • 20:22 - 20:23
  • 20:23 - 20:25
    But it's because the
  • 20:25 - 20:29
    metastasis resembles the primary that we
    looked at it and said, no, this isn't brain, this is
  • 20:29 - 20:32
    metastasis to the brain.
  • 20:32 - 20:36
    Poor fellow died shortly after operation, it turned out again he was riddled with metastases
  • 20:36 - 20:38
    with a small lung primary.
  • 20:38 - 20:40
    Lung primary
  • 20:40 - 20:42
    very often goes to brain like that.
  • 20:42 - 20:44
    Oh
  • 20:44 - 20:49
    one last lovely image
  • 20:49 - 20:52
    there is a liver
  • 20:52 - 20:54
    riddled with metastases.
  • 20:54 - 20:56
    And if
  • 20:56 - 21:00
    someone showed me this liver and said where did this come from, I'd say
  • 21:00 - 21:03
    gee, well look at the GI tract.
  • 21:03 - 21:06
    It can be elsewhere, this was a lung
    cancer
  • 21:06 - 21:10
    that had metastasized and gotten into the bloodstream, had gotten around and liked the taste
  • 21:10 - 21:12
    of liver
  • 21:12 - 21:15
    and produced metastases in the liver. There were metastases in many other
  • 21:15 - 21:17
    places as well.
  • 21:17 - 21:19
    Well, i guess that
  • 21:19 - 21:25
    gives you a little bit of an example, a little bit
    of a feeling for the the destructiveness
  • 21:25 - 21:28
    of this process of metastasis. Again benign neoplasm
  • 21:28 - 21:31
    do not metastasize, only malignant
  • 21:31 - 21:33
    ones do.
  • 21:33 - 21:44
    Benign neoplasms do not invade, only malignant ones.
  • 21:44 - 22:00
  • 22:00 - 22:03
    With
  • 22:03 - 22:06
    those concepts
  • 22:06 - 22:10
    of neoplasia, hope you've all got benign and malignant invasion, metastasis sort of
  • 22:10 - 22:11
    under your belts.
  • 22:11 - 22:18
    I want to talk for a little bit on how neoplasms are
  • 22:18 - 22:20
    put together microscopically.
  • 22:20 - 22:24
    Again, don't worry about being able
    to do this kind of diagnosis yourself,
  • 22:24 - 22:25
    just listen to the concepts.
  • 22:25 - 22:28
    I want to review the concept of stroma,
  • 22:28 - 22:30
    the concept of differentiation,
  • 22:30 - 22:33
    and ideas of grading
  • 22:33 - 22:36
    and staging.
  • 22:36 - 22:41
    All right, let's let's begin with the
    business of stroma and angiogenesis.
  • 22:41 - 22:43
    One of things that I should emphasize
  • 22:43 - 22:48
    that I didn't really emphasize so far is that
  • 22:48 - 22:50
    a given module of neoplasm
  • 22:50 - 22:53
    take one of those metastases in the liver for
    instance
  • 22:53 - 22:55
    A given nodule of neoplasm
  • 22:55 - 22:57
    is just not a spherical
  • 22:57 - 23:03
    collection of 100% cancer cells.
  • 23:03 - 23:05
    This is a very important concept
  • 23:05 - 23:06
    and it makes perfect sense
  • 23:06 - 23:08
    because
  • 23:08 - 23:10
    you could not possibly grow
  • 23:10 - 23:11
    a lump literally that big
  • 23:11 - 23:12
    and have
  • 23:12 - 23:14
    a blood supply
  • 23:14 - 23:17
    for the cells in the center,
  • 23:17 - 23:18
    you follow me?
  • 23:18 - 23:20
    In other words, if they were pure cancer cells
  • 23:20 - 23:22
    the blood would be out here
  • 23:22 - 23:24
    and the cells would be proliferating here.
  • 23:24 - 23:29
    It doesn't work that way, the cancer
    needs a blood supply in order to grow.
  • 23:29 - 23:30
    and it turns
  • 23:30 - 23:31
    out that
  • 23:31 - 23:34
    cancers
  • 23:34 - 23:38
    are able and this is an very interesting
    phenomenon
  • 23:38 - 23:39
    to
  • 23:39 - 23:43
    induce the formation of what we call
    a stroma
  • 23:43 - 23:45
    it's a fibrous
  • 23:45 - 23:49
    particularly a vascular
    framework
  • 23:49 - 23:52
    which supports the neoplasm.
  • 23:52 - 23:54
    Now the stroma
  • 23:54 - 23:56
    is not part of the malignant clone
  • 23:56 - 23:59
    or the neoplastic clone.
  • 23:59 - 24:00
    It comes from
  • 24:00 - 24:06
    the connective tissue cells and the blood vessels cells
  • 24:06 - 24:07
    around
  • 24:07 - 24:09
    the neoplasm.
  • 24:09 - 24:11
    The neoplastic cells
  • 24:11 - 24:14
    and probably some of the inflammatory
    cells accompanying the neoplasm are able
  • 24:14 - 24:16
    to induce
  • 24:16 - 24:19
    the formation of this stroma. It's
  • 24:19 - 24:20
    very much
  • 24:20 - 24:24
    like the the induction of granulation
    tissue which you're very familiar with from
  • 24:24 - 24:25
    last week.
  • 24:25 - 24:26
    And
  • 24:26 - 24:27
    what
  • 24:27 - 24:29
    happens
  • 24:29 - 24:35
    is this fibrous and vascular stroma grows into the nodule and enables it
  • 24:35 - 24:36
    to proliferate.
  • 24:36 - 24:37
  • 24:37 - 24:39
    Now we talk about
  • 24:39 - 24:45
    tumor angiogenesis, I mean the emphasis being
    on the blood vessels.
  • 24:45 - 24:48
    There is abundant
  • 24:48 - 24:51
    experimental evidence to show
  • 24:51 - 24:51
    that
  • 24:51 - 24:55
    and i won't go into the details, but if
    you create a situation where you got
  • 24:55 - 24:58
    a bunch of neoplastic cells growing
    pure
  • 24:58 - 25:01
    where they can't pick up a stroma,
  • 25:01 - 25:06
    the module will never get bigger than a
    millimeter or two at the very most,
  • 25:06 - 25:07
    probably less because
  • 25:07 - 25:12
    because the oxygen and nutrients cannot
    diffuse in the solid mass any further.
  • 25:12 - 25:14
    There are many experiments that show
  • 25:14 - 25:19
    you grow neoplastic cells in these
    little balls and they stopped growing.
  • 25:19 - 25:23
    and then if you do something to induce
    angiogenesis, BOOM,
  • 25:23 - 25:24
    as soon as they pick up
  • 25:24 - 25:27
    the vascular stroma
  • 25:27 - 25:28
    they begin
  • 25:28 - 25:29
    to grow
  • 25:29 - 25:33
    so tumor angiogenesis is exceedingly important. You can
  • 25:33 - 25:34
    read a
  • 25:34 - 25:38
    I won't bother you with the details, but we are
    beginning to know a little bit about how
  • 25:38 - 25:43
    this is mediated and what it looks like
    is this:
  • 25:43 - 25:44
    again without too much detail
  • 25:44 - 25:47
    this was a lump in a breast.
  • 25:47 - 25:51
    This was a breast cancer.
  • 25:51 - 25:54
    These dark clumps are the cancer cells
  • 25:54 - 25:56
    and the
  • 25:56 - 25:58
    pink in the background
  • 25:58 - 26:00
    is the stroma.
  • 26:00 - 26:04
    I'll emphasize in particular there is a
    capillary there,
  • 26:04 - 26:08
    there is a capillary cut lengthwise there, there's another capillary here
  • 26:08 - 26:10
    and so forth
  • 26:10 - 26:11
    so that any given
  • 26:11 - 26:15
    clump of cancer cells isn't very far from
  • 26:15 - 26:17
    a capillary.
  • 26:17 - 26:19
    That's the concept
  • 26:19 - 26:24
    of the stroma and tumor angiogenesis and
    what it means.
  • 26:24 - 26:27
    If we could stop angiogenesis
  • 26:27 - 26:29
    we could stop tumor growth.
  • 26:29 - 26:33
    It would be wonderful and some of these
    attempts have reached the clinical testing
  • 26:33 - 26:35
    testing stage but nothing terribly dramatic yet.
  • 26:35 - 26:38
    But it's certainly a handle.
  • 26:38 - 26:43
    Here is kind of a loose stroma, not very fibrous but a lot of blood vessels.
  • 26:43 - 26:44
    Sometimes
  • 26:44 - 26:45
    you can be
  • 26:45 - 26:47
    very dense.
  • 26:47 - 26:49
    These are cancer cells
  • 26:49 - 26:52
    in a very dense collagenous stroma.
  • 26:52 - 26:54
    This kind of a lump has a
  • 26:54 - 26:56
    consistency about like wood.
  • 26:56 - 27:00
    We call that, it's an adjective you'll
    hear occasionally, it's a scirrhous
  • 27:00 - 27:02
    s-c-i-r-r-h-o-u-s
  • 27:02 - 27:05
    scirrhous
  • 27:05 - 27:07
    mode of growth
  • 27:07 - 27:11
    But whatever the variation, any
  • 27:11 - 27:12
    lump of
  • 27:12 - 27:15
    neoplasm has this vascular stroma
  • 27:15 - 27:19
    that it has induced.
  • 27:19 - 27:20
    Okay.
  • 27:20 - 27:26
    Now go onto the next concept, that is related to the fact that
  • 27:26 - 27:28
    since neoplastic cells are derived
  • 27:28 - 27:34
    from a previously normal cell population, they're
  • 27:34 - 27:37
    going to share many of the genetic traits and are going to have some new ones
  • 27:37 - 27:41
    because of these mutations but they're going to share a tremendous genetic
  • 27:41 - 27:42
    background
  • 27:42 - 27:46
    with the parent issues so
    they're going to resemble the parent tissue
  • 27:46 - 27:49
    to some variable extent.
  • 27:49 - 27:54
    I mean sometimes very sharp resemblance, sometimes maybe not much of a resemblance.
  • 27:54 - 27:56
  • 27:56 - 27:58
    When the neoplastic tissue
  • 27:58 - 28:03
    resembles the parental tissue, the normal tissue,
  • 28:03 - 28:05
    through a high degree
  • 28:05 - 28:09
    very close resemblance we speak about
    that neoplasm as being well-differentiated.
  • 28:09 - 28:13
    Funny phrase, I didn't invent it.
  • 28:13 - 28:18
    When we say well differentiated, it means
    looks just like mom and pop.
  • 28:18 - 28:22
    On the other extreme, it may look
    nothing, I'll show you some examples,
  • 28:22 - 28:26
    it may look nothing like the parental
    tissue, we say that is a poorly differentiated
  • 28:26 - 28:27
    or
  • 28:27 - 28:32
    undifferentiated
  • 28:32 - 28:32
    tissue.
  • 28:32 - 28:37
    There's another phrase, another word
    we sometimes use, that's anaplastic.
  • 28:37 - 28:40
    Anaplastic refers to
  • 28:40 - 28:44
    well, some people say de-differentiated, but undifferentiated
  • 28:44 - 28:47
    just immature or undifferentiated tissue
  • 28:47 - 28:48
    we refer to
  • 28:48 - 28:51
    as anaplastic.
  • 28:51 - 28:54
    There's a complete range
  • 28:54 - 28:56
    of possibilities.
  • 28:56 - 28:58
    Let me illustrate
  • 28:58 - 29:02
    this for you in two extremes
  • 29:02 - 29:05
    Here is normal colonic
  • 29:05 - 29:08
    mucosa, and we're going to talk about this in detail on Wednesday.
  • 29:08 - 29:11
    The mucosa has these
  • 29:11 - 29:14
    kind of tubular glands, that's all I want
    you to get out of this, this is perfectly normal
  • 29:14 - 29:15
  • 29:15 - 29:21
    The next slide will be a cancer derived
    from this mucosa, looks like that.
  • 29:21 - 29:23
    Now you say, that doesn't look anything like it, but
  • 29:23 - 29:26
    in a sense it does.
  • 29:26 - 29:31
    it's got glands, they're kind of
    funky and kinky and so forth
  • 29:31 - 29:33
    but they're clearly glands.
  • 29:33 - 29:36
    You'll also notice that the pink to
    blue ratio has changed, a lot of hyperchromatism
  • 29:36 - 29:40
    a lot more nuclei here and so forth but basically
  • 29:40 - 29:44
    a pathologist looking at this
    would take about a nanosecond as you will learn
  • 29:44 - 29:46
    this spring and say oh!
  • 29:46 - 29:48
    this is a glandular type of
  • 29:48 - 29:49
    neoplasm.
  • 29:49 - 29:50
    So we say
  • 29:50 - 29:54
    this is at least moderately differentiated.
  • 29:54 - 29:56
    Now I'll show you a step down,
  • 29:56 - 30:01
    here's a normal bronchial mucosa, again
    don't worry about the details, but they're these tall
  • 30:01 - 30:02
    columnar cells,
  • 30:02 - 30:04
    some of them are secreting mucus
  • 30:04 - 30:05
    others have cilia on them
  • 30:05 - 30:06
    they're very well
  • 30:06 - 30:08
    organized there
  • 30:08 - 30:11
    The next line is a neoplasm derived
  • 30:11 - 30:15
    from that cell population
  • 30:15 - 30:20
    If someone showed me that I'd say that I
    don't know what that is,
  • 30:20 - 30:23
    that is an undifferentiated, malignant
  • 30:23 - 30:25
    neoplasm,
  • 30:25 - 30:27
    or anaplastic neoplasm.
  • 30:27 - 30:29
    And when
  • 30:29 - 30:33
    you look at that, what it
    really says is it's a population of cells
  • 30:33 - 30:34
    that's not maturing
  • 30:34 - 30:38
    you can't tell what it's
    doing or where it came from,
  • 30:38 - 30:43
    but it sure as the dickens looks
    malignant, look at those huge nuclei
  • 30:43 - 30:47
    increased n-to-c ratio (nucleus to cytoplasm)
  • 30:47 - 30:50
    they are actually pleomorphic, they are hyperchromatic,
  • 30:50 - 30:51
    there are
  • 30:51 - 30:54
    tumor giant cells there.
  • 30:54 - 30:57
    Really, you'll learn to look at those
    things and loathe them, to say that is an ugly
  • 30:57 - 30:59
    cell population
  • 30:59 - 31:02
    so that is a highly anaplastic cell population.
  • 31:02 - 31:04
    Now,
  • 31:04 - 31:06
    it turns out
  • 31:06 - 31:07
    well, let me give you
  • 31:07 - 31:11
    a rule of thumb first.
  • 31:11 - 31:13
    Benign neoplasms
  • 31:13 - 31:17
    are always splendidly well
    differentiated, sometimes you get in the
  • 31:17 - 31:21
    middle of a benign neoplasm, you can't tell it from the normal tissues, so a benign
  • 31:21 - 31:23
    neoplasms are always
  • 31:23 - 31:25
    well-differentiated.
  • 31:25 - 31:29
    Almost perfectly differentiated.
  • 31:29 - 31:32
    Malignant neoplasms show the whole range,
  • 31:32 - 31:37
    there are very well differentiated but
    nonetheless malignant neoplasms
  • 31:37 - 31:38
    and there are highly anaplastic
  • 31:38 - 31:43
    like this.
  • 31:43 - 31:46
    In some situations, in many situations,
  • 31:46 - 31:49
    in malignant neoplasms,
  • 31:49 - 31:54
    there is a a rough correlation, I emphasize rough,
  • 31:54 - 31:55
    between the degree
  • 31:55 - 31:59
    of differentiation and the
    behavior.
  • 31:59 - 32:03
    This is not uniform for all neoplasms
  • 32:03 - 32:06
    and remember well differentiated
    neoplasms/cancers can still kill.
  • 32:06 - 32:07
    But for
  • 32:07 - 32:09
    some situations, it's a
  • 32:09 - 32:11
    useful label that we
  • 32:11 - 32:14
    give it to send to our colleagues
  • 32:14 - 32:16
    where we say
  • 32:16 - 32:19
    we label it
  • 32:19 - 32:25
    depending on the degree of
    differentiation we call this ''grading'',
  • 32:25 - 32:27
    histological grading of neoplasm.
  • 32:27 - 32:31
    The grading of neoplasms is really
  • 32:31 - 32:36
    an assessment of the
    degree of differentiation of the neoplasm based on,
  • 32:36 - 32:38
    i mean we look under the microscope,
  • 32:38 - 32:42
    and we say oh! this looks just like
  • 32:42 - 32:45
    such-and-such tissue that's well
    differentiated
  • 32:45 - 32:48
    we sometimes take into account in these
    grading systems
  • 32:48 - 32:51
    the number of mitoses
  • 32:51 - 32:52
    that's a little less usual
  • 32:52 - 32:55
    but it's based basically on the degree of differentiation
  • 32:55 - 33:00
    and we talk about grade one, usually grade one means
  • 33:00 - 33:04
    the best differentiated grade, grade two to
    grade three, some grading systems are all
  • 33:04 - 33:07
    the way through grade four.
  • 33:07 - 33:11
    You get the idea, I mean you will get the
    details, but when we label with the grade
  • 33:11 - 33:16
    we say this is well differentiated and
    our colleagues at the other end say, well
  • 33:16 - 33:21
    maybe that'll behave a little better than
    if Abrams said it was anaplastic.
  • 33:21 - 33:24
    And Illl show you what this amounts to
    visually, again don't worry about being
  • 33:24 - 33:26
    able to pick these out.
  • 33:26 - 33:28
    Here is a carcinoma,
  • 33:28 - 33:29
  • 33:29 - 33:34
    cancer derived from a squamous epithelium,
    like the epidermis of the skin
  • 33:34 - 33:37
    and a trained pathologist, which you will
    be
  • 33:37 - 33:42
    next spring, would look at this kind of
    arrangement or all this pinky cytoplasm
  • 33:42 - 33:44
    which represents keratin and
  • 33:44 - 33:45
    in the cells
  • 33:45 - 33:46
    and you'd say oh easy!
  • 33:46 - 33:47
    That's a well-differentiated
  • 33:47 - 33:51
    squamous cell carcinoma, this might be a grade one
  • 33:51 - 33:52
    for
  • 33:52 - 33:54
    instance
  • 33:54 - 33:56
    This one is might not look like much to you, but
  • 33:56 - 34:00
    a trained pathologist would look at this and say, well,
  • 34:00 - 34:01
    this isn't terribly
  • 34:01 - 34:06
    well differentiated but I can
    still see areas where I'll bet that's coming
  • 34:06 - 34:11
    from the squamous epithelium, so that
    would be maybe a grade two or moderately
  • 34:11 - 34:13
    differentiated
  • 34:13 - 34:14
    Here again is a completely
  • 34:14 - 34:18
    anaplastic cell population, someone
    showed me that and said where is this coming from
  • 34:18 - 34:19
    and I'd say
  • 34:19 - 34:22
    God only knows this is cancer.
  • 34:22 - 34:24
    When i don't know what kind,
  • 34:24 - 34:30
    this is really an anaplastic, probably grade three to grade four cancer
  • 34:30 - 34:33
    and again there's a rough correlation
    between
  • 34:33 - 34:36
    the degree of differentiation and how it
    might behave.
  • 34:36 - 34:38
    behave
  • 34:38 - 34:39
    Now grading,
  • 34:39 - 34:43
    this is all microscopic, grading is
    different than staging.
  • 34:43 - 34:46
    Please keep these two straight
  • 34:46 - 34:48
    and read and understand, you're going to deal
  • 34:48 - 34:51
    with these two concepts all your lives.
  • 34:51 - 34:54
    Staging a neoplasm is very important
  • 34:54 - 34:58
    because of the stage that we assigned to
    a neoplasm tells the observer
  • 34:58 - 35:00
  • 35:00 - 35:05
    how far along in its natural history
    that neoplasm is, in other words,
  • 35:05 - 35:10
    how big is it at the primary, how much
    tissue has it penetrated,
  • 35:10 - 35:12
    has it advanced to the point where it's spread
  • 35:12 - 35:14
    elsewhere in the body.
  • 35:14 - 35:18
    That is staging.
  • 35:18 - 35:24
    It's based on first of all the size and
    the extent of the primary,
  • 35:24 - 35:30
    the presence or absence of regional
    lymph node metastases, and
  • 35:30 - 35:33
    the presence or absence of distant metastases.
  • 35:33 - 35:37
    This is sometimes referred to as the TNM system, T for tumor,
  • 35:37 - 35:37
  • 35:37 - 35:40
    what's he doing with the primary,
  • 35:40 - 35:42
    N for regional nodes,
  • 35:42 - 35:44
    M for distant metastases.
  • 35:44 - 35:45
    Every organ has
  • 35:45 - 35:50
    a slightly different staging scheme, but
    they're all based on this
  • 35:50 - 35:51
    and what it gives you,
  • 35:51 - 35:53
    if it's a low stage
  • 35:53 - 35:56
    or a favorable stage, that says this
    tumor hasn't advanced
  • 35:56 - 35:58
    as far, maybe it's restricted just to
  • 35:58 - 36:01
    the organ, the lymph nodes are negative,
  • 36:01 - 36:04
    and there are no distant metastases,
  • 36:04 - 36:08
    or it may be that it's penetrated quite
    a way through
  • 36:08 - 36:10
    whatever organ it's started in, and there are already
  • 36:10 - 36:15
    lymph node mets but we don't know of distant mets
  • 36:15 - 36:19
    that's quite a different situation which may
    take a different therapeutic approach
  • 36:19 - 36:22
    and finally if they're already distant mets, that's a very different thing.
  • 36:22 - 36:24
  • 36:24 - 36:26
    So staging
  • 36:26 - 36:28
    gives you a very important handle on how far
  • 36:28 - 36:30
    along the neoplasm is in the
  • 36:30 - 36:32
    particular patient and
  • 36:32 - 36:34
    what you should do
    therapeutically
  • 36:34 - 36:38
    because of that.
  • 36:38 - 36:40
  • 36:40 - 36:44
    Now's not the time to dwell on how we
    tell benign from malignant and
  • 36:44 - 36:48
    in our daily work you will again get an
    appreciation for this next
  • 36:48 - 36:50
    spring, but suffice it to say
  • 36:50 - 36:54
    that we pathologists can look at a tumor
  • 36:54 - 36:54
    and make
  • 36:54 - 36:58
    some pretty good predictions
    about how it may behave.
  • 36:58 - 37:02
    In other words, if we look at a
    tumor and it looks very well-differentiated
  • 37:02 - 37:05
    and completely circumscribed and so on and so forth, we
  • 37:05 - 37:07
    say it's benign
  • 37:07 - 37:12
    and what that says is if you get the
    whole thing out, patient is home free.
  • 37:12 - 37:17
    If it's invasive anaplastic, it's a very different situation.
  • 37:17 - 37:21
    I can tell you that that the cornerstone
  • 37:21 - 37:22
    of clinical diagnosis
  • 37:22 - 37:26
    in the field of oncology is
  • 37:26 - 37:28
    getting something under glass,
  • 37:28 - 37:30
    getting in the microscope.
  • 37:30 - 37:32
    Very few instances where
  • 37:32 - 37:33
  • 37:33 - 37:35
  • 37:35 - 37:37
    therapy will be undertaken without
    confirmation
  • 37:37 - 37:41
    of the fact that under the microscope that it is
    such-and-such a cancer and such and such grade and so forth.
  • 37:41 - 37:44
    so it means we need a piece of the tissue
  • 37:44 - 37:47
  • 37:47 - 37:47
    or at least
  • 37:47 - 37:49
    some cells from the tissue
  • 37:49 - 37:51
    to get under the microscope.
  • 37:51 - 37:54
  • 37:54 - 37:55
    What we rely on there
  • 37:55 - 37:59
    as you might surmise from what you've
    seen is first of all
  • 37:59 - 38:02
  • 38:02 - 38:07
    the cytologic features, how anaplastic looking are the cells, how bad is the
  • 38:07 - 38:12
    the pleomorphism, the hyperchromatism, etc, we rely on that
  • 38:12 - 38:17
    we rely on the relation of the cells to
    one another, the loss of polarity in the system
  • 38:17 - 38:19
    and so forth, and
  • 38:19 - 38:25
    we rely on the relation of the
    tumor to its surroundings, the nice pushing
  • 38:25 - 38:28
    margin vs boy! there goes
    invasion
  • 38:28 - 38:33
    it's that sort of thing. Now
  • 38:33 - 38:34
    I'll give you just a
  • 38:34 - 38:36
    very quick example of that.
  • 38:36 - 38:37
    Here is a
  • 38:37 - 38:40
    you can imagine that colon I showed you
  • 38:40 - 38:41
    in the cut,
  • 38:41 - 38:44
    here is a mucosa, a submucosa, here is a muscular wall,
  • 38:44 - 38:46
    here's the tumor arising in the mucosa.
  • 38:46 - 38:48
  • 38:48 - 38:53
    You see under the microscope here, you can see kind of glandular spaces there.
  • 38:53 - 38:53
    Look what's happening,
  • 38:53 - 38:56
    you've got glands
  • 38:56 - 38:59
    penetrating clear down through the muscle there.
  • 38:59 - 39:01
  • 39:01 - 39:02
    That's a no brainer
  • 39:02 - 39:07
    when we see something like that we say it's
    invading, it's malignant.
  • 39:07 - 39:11
    That make sense?
  • 39:11 - 39:15
    Sometimes we don't rely entirely on
    that, we rely on other things
  • 39:15 - 39:17
    The cytology, just quickly,
  • 39:17 - 39:21
    there are normal colonic epithelial cells
  • 39:21 - 39:24
    I'm not going to describe it, just let the pictures speak for themselves.
  • 39:24 - 39:27
    You'll catch up with this in
    the spring.
  • 39:27 - 39:32
    Here are neoplastic epithelial cells. Again, normal...neoplastic.
  • 39:32 - 39:35
    Here's a normal squamous
  • 39:35 - 39:40
    epithelium, we're back to cervix, here's normal squamous
  • 39:40 - 39:42
  • 39:42 - 39:43
    here's dysplastic.
  • 39:43 - 39:50
    you saw that before, this variation, this loss of polarity, the individual features
  • 39:50 - 39:52
    of cytology here, that's a
  • 39:52 - 39:56
    degree of dysplasia, it's a step towards cancer.
  • 39:56 - 40:01
    This one we said was full thickness 'awfulness' with very anaplastic cells, I won't go into the details again.
  • 40:01 - 40:02
  • 40:02 - 40:04
    The concept is important, when dysplasia gets severe
  • 40:04 - 40:07
    it's tantamount to
  • 40:07 - 40:11
    cancer in situ, whether or not it's invaded,
  • 40:11 - 40:15
    you see in the colonic example, we showed you invasion.
  • 40:15 - 40:18
    Here we can say this epithelium is cancerous, dammit!
  • 40:18 - 40:22
    Whether it invaded or not, we got to get it out or
    something bad is going to happen because
  • 40:22 - 40:26
    virtually 100% of these severe dysplasias will invade.
  • 40:26 - 40:27
    carcinoma in situ.
  • 40:26 - 40:26
    And that is
  • 40:27 - 40:29
  • 40:29 - 40:32
    You'll hear a lot more about that
  • 40:32 - 40:36
    Now
  • 40:36 - 40:38
  • 40:38 - 40:41
    clearly if you look at something like
    this
  • 40:41 - 40:47
    you realize that that individual cells
    in that population bear the
  • 40:47 - 40:48
    imprint
  • 40:48 - 40:51
    of their malignancy, in other words, they
    have these anaplastic traits and you
  • 40:51 - 40:53
    can say these are malignant cells.
  • 40:53 - 40:56
    A guy named the george papanicolaou
  • 40:56 - 40:59
    over half a century ago
  • 40:59 - 41:02
    realized that that this was a great
    handle, that if you
  • 41:02 - 41:08
    took cells that exfoliated, that is
    dropped off the surface, of
  • 41:08 - 41:10
    a place where there might be a tumor
  • 41:10 - 41:12
    that these exfoliated cells
  • 41:12 - 41:14
    would bear
  • 41:14 - 41:17
    some of these traits, these anaplastic traits, and all you'd have to do
  • 41:17 - 41:20
    is look at these cells and say WOW
  • 41:20 - 41:22
    this is so and so.
  • 41:22 - 41:28
    This is, as I'm sure you're aware, the origin of
    the so-called Pap smear,
  • 41:28 - 41:29
    and the beauty of the Pap smear is that you don't have to
  • 41:29 - 41:33
    cut out a piece of tissue from the person.
  • 41:33 - 41:33
  • 41:33 - 41:35
    All you need is a sample
  • 41:35 - 41:37
    of the usually it's mucus
  • 41:37 - 41:38
  • 41:38 - 41:40
  • 41:40 - 41:41
    over the area, now
  • 41:41 - 41:45
    this has been perfected, this has changed the whole face of
  • 41:45 - 41:50
    how we deal with cervix cancer
  • 41:50 - 41:54
    but you can imagine a cervix...no let's back up,
  • 41:54 - 41:55
  • 41:55 - 41:58
    looking like that
  • 41:58 - 41:59
    and that are
  • 41:59 - 42:02
    exfoliated, remember they come
    off here and getting a Pap smear
  • 42:02 - 42:04
    involves getting a little bit of mucus
  • 42:04 - 42:09
    scraped off the surface of the middle of
    some of these cells and
  • 42:09 - 42:11
    from a normal epithelium like this
  • 42:11 - 42:14
    you're going to see
  • 42:14 - 42:17
    and i'll show you a Pap smear
  • 42:17 - 42:19
    whereas from this
  • 42:19 - 42:20
  • 42:20 - 42:24
    or this, you're going to get a
    different kind of cell exfoliating out
  • 42:24 - 42:24
  • 42:24 - 42:29
    and without really having to get a big piece
    of tissue, you get a little bit a swatch of
  • 42:29 - 42:33
    mucus you can tell what you're dealing
    with.
  • 42:33 - 42:35
    I'll let you see this for yourselves.
  • 42:35 - 42:36
  • 42:36 - 42:40
    Well, here are just some of
    cellular features of anaplasia.
  • 42:40 - 42:44
    Any look at a cell population like
    this with the huge nuclei
  • 42:44 - 42:47
    there's a tripolar division figure there,
  • 42:47 - 42:52
    those are the kinds of features we
    look for, all right here is a normal Pap smear.
  • 42:52 - 42:55
  • 42:55 - 42:58
    You look at that without any training at
    all and you say well those cells look like one another
  • 42:58 - 43:00
  • 43:00 - 43:02
    look like they're all out of the same
    cookie cutter, same N-C ratio
  • 43:02 - 43:07
    the nuclei are not pleomorphic, they are not very regular
  • 43:07 - 43:09
    etcetera etcetera etcetera
  • 43:09 - 43:11
    Normal pap smear next case,
  • 43:11 - 43:15
    now suppose that epithelium looked like
  • 43:15 - 43:19
    the bad one I showed you, there you are,
  • 43:19 - 43:21
    I'm showing you the extremes,
  • 43:21 - 43:22
  • 43:22 - 43:25
    instead of being very regular, these are
    extremely pleomorphic cells with increased N-C ratio
  • 43:25 - 43:28
    hyperchromatism
  • 43:28 - 43:31
    and so forth,
  • 43:31 - 43:36
    the cytopathologist looking at this doesn't have to pause very often and say
  • 43:36 - 43:37
    this
  • 43:37 - 43:40
    has been exfoliated from a malignant cell
    population
  • 43:40 - 43:42
    and the nice thing is
  • 43:42 - 43:44
    that in between the cytopathologist can also
  • 43:44 - 43:48
    look at this and say well this
    probably came from a cervix with
  • 43:48 - 43:51
    moderate dysplasia
  • 43:51 - 43:54
    or minimal dysplasia or something like
    that,
  • 43:54 - 43:58
    so that not only can we catch cancers
    when they're perhaps too small to appreciate
  • 43:58 - 44:00
    by ordinary examination
  • 44:00 - 44:01
    we can actually
  • 44:01 - 44:03
    catch dysplastic epithelium
  • 44:03 - 44:07
    before it's become cancer or carcinoma in situ
  • 44:07 - 44:11
    before it's invaded, these things are all invisible pretty much
  • 44:11 - 44:12
  • 44:12 - 44:15
    and they will show up on the
    cytological exam,
  • 44:15 - 44:19
    so it's become a very powerful
    screening tool
  • 44:19 - 44:20
  • 44:20 - 44:23
    and it's changed the face of what we
  • 44:23 - 44:28
    see in the way of cervix cancer, when i was a kid in pathology we used to see
  • 44:28 - 44:30
    nothing but very advanced cervix cancer
  • 44:30 - 44:31
  • 44:31 - 44:33
  • 44:33 - 44:36
    that were clear into the
    rectal wall and bladder wall and so forth,
  • 44:36 - 44:41
    i haven't seen one of those
    thankfully in decades
  • 44:41 - 44:47
    because of the application of the
    Pap smear as screening.
  • 44:47 - 44:52
    That's something you'll
    hear a lot more about
  • 44:52 - 44:56
    so going back to generalities, a definition
  • 44:56 - 45:00
    of, or the diagnosis of neoplasm, requires getting something
  • 45:00 - 45:03
    under the microscope.
  • 45:03 - 45:04
    Now sometimes it's the whole
  • 45:04 - 45:07
    tumor, patient presents with lump sum or
  • 45:07 - 45:12
    you cut out the whole thing -- that's called an excisional, excisional biopsy,
  • 45:12 - 45:16
    and that's very nice because if it's
    benign, you're done.
  • 45:16 - 45:18
    If it's malignant,
  • 45:18 - 45:21
    you have to do some other
    things very likely.
  • 45:21 - 45:24
    Sometimes only a piece of tissue is
    removed, if it's a big mass
  • 45:24 - 45:27
    you don't want to go and do a commando
    operation until you know what you're
  • 45:27 - 45:28
    dealing with.
  • 45:28 - 45:32
    That may be an incisional biopsy, you take a wedge of it out.
  • 45:32 - 45:36
    There are various biting forceps where
  • 45:36 - 45:37
  • 45:37 - 45:39
    bite a piece out
  • 45:39 - 45:42
    and there are punch forceps
  • 45:42 - 45:45
    particularly for skin things where you take a punch,
  • 45:45 - 45:46
    it's a little boring,
  • 45:46 - 45:47
    finally
  • 45:47 - 45:48
  • 45:48 - 45:52
    very often there are a variety of needles that are used where you can
  • 45:52 - 45:56
    put a needle into a mass with very,
  • 45:56 - 45:59
    nothing beyond local anesthesia even,
  • 45:59 - 46:01
    put a needle in and draw out a core of cells
  • 46:01 - 46:02
    and get those
  • 46:02 - 46:05
    under the microscope
  • 46:05 - 46:07
    and the extreme of this
  • 46:07 - 46:09
    is putting in, and this can be done
  • 46:09 - 46:12
    you know with CT guidance into
    internal organs
  • 46:12 - 46:15
    put a very fine skinny needle in there
  • 46:15 - 46:17
    suck out some juice
  • 46:17 - 46:18
    from the
  • 46:18 - 46:20
    lump
  • 46:20 - 46:22
    and that juice will usually contain a few
    floating cells
  • 46:22 - 46:26
    and the trained cytopathologist could
    look at the degree of anaplasia and so forth
  • 46:26 - 46:29
    in those cells and make a diagnosis.
  • 46:29 - 46:32
    So, this is
  • 46:32 - 46:37
    always, almost always, what we do before undertaking treatment.
  • 46:37 - 46:39
    And
  • 46:39 - 46:40
  • 46:40 - 46:44
    just to tell you, in conclusion, that
    this visual exam
  • 46:44 - 46:49
    under the scope is frequently augmented by other things.
  • 46:49 - 46:52
    Someone asked me, for instance,
  • 46:52 - 46:55
    can you always tell, looking at a met, where it came from, if it's an unknown
  • 46:55 - 46:56
    primary.
  • 46:56 - 46:59
    My answer was no, unfortunately
  • 46:59 - 47:02
    many different glandular neoplasms
  • 47:02 - 47:04
    look the same under the microscope,
  • 47:04 - 47:06
  • 47:06 - 47:10
    so all we can say is this came from a glandular tissue. Sometimes we can use
  • 47:10 - 47:13
    immuno histochemical techniques,
  • 47:13 - 47:18
    in other words, there maybe certain
    proteins on the surface of certain cells
  • 47:18 - 47:22
    that identify them
  • 47:22 - 47:27
    we have a library of of antibodies
    directed against these various proteins
  • 47:27 - 47:30
    and they're labeled in a certain way and
    we can
  • 47:30 - 47:35
    make a cut of the tissue we have and put this on and if it lights up
  • 47:35 - 47:37
    we know that protein is represented, and to
  • 47:37 - 47:42
    give you a concrete example, suppose we had a lymph node that had a glandular cancer
  • 47:42 - 47:43
    and one of the possibilities
  • 47:43 - 47:47
    would be from the prostate
  • 47:47 - 47:52
    we could take an antibiotic to PSA (prostate specific antigen)
  • 47:52 - 47:54
    stain that tissue, and if it lit up,
  • 47:54 - 47:57
    those cancer cells had the prostate antigen, easy!
  • 47:57 - 47:59
    this came from prostate.
  • 47:59 - 48:01
    So we use those sorts of things
  • 48:01 - 48:08
    we've gotten into molecular methods of identifying this or that molecule and
  • 48:08 - 48:12
    in the cell population that augments
    what we can do visually and the ultimate
  • 48:12 - 48:14
  • 48:14 - 48:18
    is something you're going to hear
    a lot more about and that is subjecting
  • 48:18 - 48:23
    the tumor to analysis with what we call
    microarrays which are the system
  • 48:23 - 48:29
    whereby you can screen for
    thousands of genes and see which ones
  • 48:29 - 48:30
    are activated
  • 48:30 - 48:32
    and we're beginning to
  • 48:32 - 48:34
    ''beginning''
  • 48:34 - 48:39
    to be able to say well with this, this,
    this, these genes activated
  • 48:39 - 48:43
    this neoplasm is more likely to do this, and with
    this, this, this set of genes
  • 48:43 - 48:49
    activated it's more likely to do that. That's where it is all going.
  • 48:49 -
    Okay we'll continue this on Wednesday
    and feed you the rest.
Title:
Neoplasia lI
Description:

A lecture on Neoplasia by Dr. Gerald Abrams, M.D. This lecture was taught as a part of the University of Michigan Medical School's M1 - Patients and Populations Sequence.

View the course materials:
http://open.umich.edu/education/med/m1/patientspop-genetics/fall2008/materials

Creative Commons Attribution-Non Commercial-Share Alike 3.0 License
http://creativecommons.org/licenses/by-nc-sa/3.0/

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Duration:
48:53
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