Predictors of Response to Preoperative Chemotherapy in Her2-positive Breast Cancer Patients Open Access
Zelnak, Amelia (2009)
Abstract
ABSTRACT
Predictors of Response to Preoperative Chemotherapy in
Her2-positive
Breast Cancer Patients
By Amelia B. Zelnak
Objective. The aim of this study was to determine the
pathologic complete response rate (pCR)
to preoperative, trastuzumab-based chemotherapy in Her2-positive,
early-stage breast cancer
patients and to determine predictors of pCR.
Methods. This is a retrospective study of 27 women with
early-stage, Her2-positive breast
cancer who received preoperative, trastuzumab-based chemotherapy.
Analysis of predictor
variables was performed using multivariate logistic
regression.
Findings. A total of 27 patients were included in this
analysis. The overall pCR rate among
early-stage Her2-positive breast cancer patients receiving
trastuzmab-based preoperative
chemotherapy was 66.7%. The pCR rate among patients treated as part
of phase II clinical trial
was 63.6%. In univariate analysis, no statistically significant
association was seen between the
following predictor variables and pCR: tumor size, estrogen
receptor (ER) status, anthracycline-
based chemotherapy, high nuclear grade, age, clinical nodal status,
and body mass index. In
multivariate analysis, no association was seen between the
predictor variables and pCR.
Conclusions. This study did not identify any variables that
predicted having a pathologic
complete response to preoperative chemotherapy among Her2-positive
patients. The pCR rate
was higher than previously seen in clinical trials, and implies
that the most significant predictor of
pCR to preoperative trastuzumab-based chemotherapy is being
Her2-positive.
Table of Contents
TABLE OF CONTENTS
I. Introduction
II. Background
III. Methods
IV. Results
V. Discussion
VI. References
VII.
Tables
a. Table 1. Baseline Patient Characteristics.
b. Table 2. Pathologic complete response (pCR) rates.
c. Table 3. Frequency of predictor variables in patients who
achieved pathologic
complete response (pCR) versus those who did not achieve pCR.
d. Table 4. Predictive factors of pathologic complete response in
univariate
analysis.
e. Table 5. Predictive factors of pathologic complete response in
multivariate
logistic regression analysis.
f. Table 6. Significant Correlation Between Age and Menopausal
Status, and Age
and ER Status.
g. Table 7. Predictive Factor Analysis for pathologic complete
response for the
Multivariate Model excluding Age due to Collinearity with ER Status
and
Menopausal Status
VIII.
Appendices
a. Appendix 1. Study schema for phase II preoperative clinical
trial of nab-
paclitaxel and trastuzumab followed by vinorelbine and
trastuzumab.
b. Appendix 2. Inclusion and Exclusion Criteria for phase II
preoperative trial.
About this Master's Thesis
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