Our special guest for the evening is Mona Gauthier, PhD., a
post-doctoral researcher at the University of California San Francisco, whose
principle work is to contribute to the development and discovery of new
biomarkers for cancer. The potential uses for biomarkers include help with
diagnosis and prognosis, to determine the aggressiveness of a particular tumor
type, as well as predictive markers that will allow us to classify certain
tumors and develop specific treatment strategies. Until recently, all breast
tumors were treated in the same fashion, with the only distinguishing features
being their estrogen receptor status.
One of the new biomarkers, HER2/neu, is up-regulated in certain tumors
and can be treated with Herceptin to inhibit the function of that tumor. The
ultimate goal of micro arrays and proteomics is to tailor specific treatments
to specific disease subtypes. In order to do that, we need to be able to
understand and classify the differences in subtypes. If we understand something
of the complexity of proteins, we will have a better understanding of why
proteomics may be a way to more simply look at the differences in tumors that
might be helpful for finding treatments and making diagnoses.
A little biochemistry. Genetic material is housed in
the DNA in the nucleus of the cell. Micro arrays look at the expression of a
specific cell at a specific time in space and are able to determine whether a
specific gene is “turned on” within a specific cell, (part of the messenger
RNA). It is then spit out of the nucleus and translated into a protein. The
protein is made up of a string of amino acids known as a peptide chain that
takes on a 3-dimensional shape when strung together with other peptide chains
to make globular units. It is the globular units that are functional. At any
given time there are probably about 30,000 proteins within the cell. Some
proteins are found in the membrane. They act as the interface between the cell
and the outside environment. Proteins found in the nucleus aid in communication
inside the cell. We believe that cancer is caused by changes in the genes that
make up proteins that make up our bodies. Small changes in a base pair can
completely change the function of a protein. Genes are very small things;
proteins—relatively speaking—are huge and easier to look at, so it may be
easier to find differences on the level of proteins than the level of genes.
This may allow us to subtype cancers more easily.
What is meant by communication among cells? Cells communicate chemically, influencing the behavior or makeup of
neighboring cells. Proteins that let cancer cells move through the
tissues more quickly aid Cancers. There are big protein differences between pre
cancer, in situ cancer and invasive cancers. There are more mutations or
changes once a cancer has metastasized. Tumors develop by making proteins that
allow them to grow a blood supply.
Proteomics lets you look at a spectrum of proteins to see
patterns or series of changes, because one change will not move a cell to
display a different behavior. The challenge after identifying the patterns will
be to determine the specific proteins that make up that pattern.
Are cancer cells and normal cells totally different in
morphology? Cells take on different shapes as they become more malignant; a
shape that allows the cell to move out of its normal environment. Low-grade
cancers look more like normal breast tissue. The higher the grade the wilder
the cell will look. The key difference between malignant and non-malignant
cells is the pattern of growth, a collection of cells where there should not be
a collection of cells. This is for the most part a visual diagnosis. The
biggest change in cell morphology occurs when the cell becomes an in situ
malignancy, increasing the chance that it will be able to invade someday.
Metaloproteases, a class of proteins, seem to allow cells to invade through the
stroma and the blood vessels. Targeting that single protein did not yield any
positive results in clinical trials, but maybe targeting a group of proteins
will allow us to find those that are critical for cancer growth.
It seems that cancer is in our body up to eight or ten
years before it is detected. At what point in the growth can this process of
change be detected and treated? If we can detect metastases early will it make
any difference in survival? Certainly early detection is better, especially when
the cancer is still in situ. We don’t know if early detection of metastases
makes any difference in survival. Looking at tumor markers hasn’t altered
survival. Very sensitive tests may change that in the future.
Does the configuration of an individual’s genes make it
more likely that a cancer will recur? No, but
it might make it slightly more likely that a new cancer will occur. The chance of this is not very high; two
highly improbably events don’t usually occur together.
If we have the same DNA in all our breast cells, why
doesn’t cancer occur in all cells? The theory
is that one cell gets into trouble and can no longer respond to the cues from
other cells to stop growing. Why it doesn’t occur in a number of cells is not
completely understood. Early radiation to one part of the body gives you a
greater risk of cancer in that radiated field later in life. But people don’t
get multiple cancers; they get one, so clearly single cells are being affected.
It is just damage to the right cell at the right time that leads to the process
of cancer. This is not a global event or the organism would not survive.
What is known about the breast cancer antigens that are
being followed? After a blood sample is taken,
the proteins are broken up into peptide strings and funneled through a mass
spectrometer. A laser hits each sample. The time it takes for the sample to hit
the detector is different for each peptide based on the charge generated by the
laser. The detector will generate a set of peaks that becomes the signature of
the sample. An unknown sample can then be tested against a sample from a
patient known to have breast cancer or one known not to have cancer. In the
future, we hope to be able to subclass these samples even further, i.e.,
estrogen sensitive versus estrogen non-sensitive, and then suggest specialized
treatments based on signature profiles.
Are there any current trials that prove the validity of
proteomics? No one marker can be linked to a
particular outcome. This is the advantage of pattern recognition. The most
advanced trials in this context are currently being done with ovarian cancer by
the National Cancer Institute in collaboration with M.D. Anderson and UCSF.
Data on the ovarian patterning trials are just beginning to come out, breast
cancer is not there yet, probably within the next few years.
How useful are the serum markers for breast cancer? Some
cancers make proteins and some do not. The problem is that they are not very
specific to a particular kind of cancer and they are not very sensitive. Some
people can have metastatic cancer and have normal levels. The tests should not
be used regularly for fear of “psychic damage”, creating anxiety. Elevated
markers may mean recurrence someday, but we don’t know when, because there is
no evidence. Also, we cannot tell if the cancer is in the breast or somewhere
else. The idea of using tumor markers to identify tumors is being looked at,
but proteins are not than good at binding just to the tumor. Current clinical
trials are looking at CEA (carcinoembryonic antigen) in two ways. One is as a
labeling radiologic tool to determine if CEA is present in an organ, usually
the liver. Another effort is trying to use CEA-based vaccines and antibodies to
CEA as a way to treat cancers that make that protein. This will be an enormous
step forward in prevention, recurrence and individualization of treatment.
Any research into “souping up” the immune system? The results to date are not encouraging. One of the
most important issues is being able to identify a single target protein. The
greatest amount of research with breast cancer is with HER2/neu targeting
vaccine.
What about finding the cancer early and hitting it harder
with chemotherapy? Hitting the disease harder
may actually damage quality of life and reduce treatment options over time
without benefiting the patient.
Next meeting is Wednesday, June 11th. Topic:
“2003 ASCO: What’s New In Cancer Research?”
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