Nomograms 7 & 8 (Insights 8.4 Tisman
article)
Predicting Survival in Patients Resistant to Castration
Nomograms 7 and 8 were discussed in a publication by Matt Galsky and
William Kelly. They are two point-based nomograms (Nomogram 7 by Smaletz
et al and Nomogram 8 by Halabi et al). Both are based on pretreatment
variables measured on a routine basis in patients with chemical castration (a form of androgen
deprivation) and refractory prostate cancer. These
models provide a user-friendly format in which to make sophisticated
predictions of survival in patients who demonstrate recurrent prostate
cancer after hormonal ablation. These models appear to have improved
the ability to predict the outcomes of patients with castrate metastatic disease.
In Nomogram 7, pretreatment clinical and biochemical determinants
from 409 patients enrolled into 19 consecutive therapeutic protocols
were evaluated. The variables included patient age, Karnofsky
performance status, alkaline
phosphatase, and serum albumin. These
parameters were combined to produce a nomogram to predict median, 1-year,
and 2-year survival. The nomogram was validated internally and externally.
Calibration plots suggested that the nomogram was well calibrated for
all predictions.
More advanced disease parameters, such as poor performance status,
low albumin and hemoglobin, and high LDH and alkaline phosphatase levels,
were associated with lower prognostic scores. A higher age was associated
with better survival, but the overall contribution of age was modest.
The predictive effect of PSA and albumin was not intuitive. Interestingly
higher levels of PSA were associated with better survival. The overall
contribution of PSA was small, and the changes in other predictors,
which often accompany increases in PSA, likely negate the seemingly
protective effect of PSA.
Nomogram 8 was recently reported by Halabi et al. In this model, data
were pooled from six Cancer and Leukemia Group B (CALGB) protocols
that enrolled 1101 patients with castrate metastatic prostate cancer.
Variables were assessed first in a univariate model, and all of the
significant parameters were then entered in a multivariable model.
In the multivariable analysis, statistically significant prognostic
factors of overall survival included ECOG
performance status, Gleason
score from the original prostatectomy or biopsy specimen, LDH, PSA, alkaline phosphatase, and hemoglobin.
Nomogram 8 was constructed based on these parameters in addition to
the presence or absence of visceral disease (disease involving organs
such as the liver). Unlike Nomogram 7, then, Nomogram 8 includes the
presence of visceral disease and Gleason score. However, the contribution
of each of these parameters is modest. Furthermore, in Nomogram 8,
higher levels of baseline PSA were associated with a worse prognosis.
A limitation to both of these models is that they were developed using
data from highly selected patients who met eligibility criteria for
clinical trials. Therefore, they may not be useful for patients with
a poor performance status or severe organ dysfunction. In addition,
the measures of discrimination in both models suggested that for approximately
30% of patient-pairs, the patient predicted to have a better prognosis
died first (oops). This underscores the need for better models.
Clinical scenario 7: Using Nomogram 7, a castrate refractory, 75 year-old,
man (15 points) with a Karnofsky
performance status of 80 (normal activity
with effort and some complaints caused by the disease = 40 points),
with a hemoglobin of 11 (37 points), with a PSA = 44 (5 points), LDH
= 300 (43 points), ALK = 99 (7 points), and albumin = 3.0 (12 points)
has a total of 159 points. The chance of this patient surviving for
one year is calculated to be approximately 16% and for two years of
about 3%.
Clinical scenario 8: Using Nomogram 8, a man without visceral involvement
(no tumor in lungs or liver etc.) (0 points), with a tumor of Gleason
score 8 (17 points), an ECOG
performance status = 0, (0 points), with
a baseline PSA = 300 (25 points), with LDH = 20 (18 points), with AP
= 40 (15 points), and with hemoglobin = 9 (32 points), would have a
total of 107 points. His 12-month probability for survival would be
78% (24-month = 50%), and the median survival would be 24 months. (Median
survival is the survival time of 50% of the studied patients.)
7. Galsky M, Kelly WK: Use of nomograms for predicting survival in
patients with castrate prostate cancer. Urology, Vol 62 (Supplement
6B), 119-127, 2003.
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