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It has long been appreciated that both
tumor size and the presence of cancer
in the regional lymph nodes are indicators
of invasive breast cancer outcome, although
it has not been obvious as to how to integrate
these two qualities into an overall assessment
of prognosis. The unifying concept, which
makes these calculations possible, was
our finding that the lethal distant spread
of cancer cells, which render patients
incurable by local treatment, occurs with
a definable probability per cell. This
lead to a simple expression relating tumor
size to survival:
(1)
where F is the fraction of patients surviving,
e is the exponential constant, and D is
the tumor diameter, and Z and Q are coefficients
whose values can be determined from survival
data. We have found that this expression
accurately predicts the relationship between
tumor size and population-wide survival
for both breast cancer and melanoma.
Eq. (1) offers the possibility of making
improved population-wide estimates of
cancer survival from data on tumor size,
but among individuals, additional factors
may need to be taken into account, especially
the presence of cancer in the local lymph
nodes. To address this question, we examined
Kaplan-Meier survival estimates (15-years),
by tumor size and nodal status, for 1352
women with invasive breast cancer seen
at the Van Nuys Breast Center before 1991.
To isolate the individual contributions
to survival of tumor size and nodal status,
the data were sorted by both tumor size
and survival. These survival values revealed
that for women with equivalent nodal status,
tumor size was associated with increased
lethality, and that for women with tumors
of equivalent size, lethality increased
with the number of positive nodes. Notably,
it was not node positivity, per se, but
the number of positive nodes that appeared
to indicate extra risk of death. Women
that had only a single positive node,
or had either one or two positive nodes,
had very similar survivals to node negative
women with tumors of the same size. However,
as the number of positive nodes increased,
there was a graded increase in lethality
with each unitary increase in the number
of positive nodes, such that there was
approximately an extra 3.5% chance of
death for each positive lymph node. The
lethal contribution from the primary site
was found to be well fit to eq. (1), with
the values of Q and Z estimatable from
survival data of women with node negative
cancer. The presence of each positive
node was found to contribute an extra
3.5% lethality. The overall lethality
was found to be the sum of the two components,
and this provided the potential to make
improved estimates of survival for individual
patients.
Future studies will concern the determination
of how accurately survival estimates can
be made among various populations of patients,
estimation of the role of local metastasis
in the prediction of melanoma survival,
and the extension of these methods to
the estimation of lung and colon cancer
survival.
If you would like additional information
on this research project, please contact:
James S. Michaelson, PhD at 617-724-3868
James S. Michaelson, PhD
Assistant Professor of Pathology
Division of Surgical Oncology, Massachusetts
General Hospital |