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Clinical Cancer Research Vol. 9, 955-960, March 2003
© 2003 American Association for Cancer Research


Molecular Oncology, Markers, Clinical Correlates

Automated Quantification of Apoptosis after Neoadjuvant Chemotherapy for Breast Cancer

Early Assessment Predicts Clinical Response1

Darren W. Davis, Thomas A. Buchholz, Kenneth R. Hess, Aysegul A. Sahin, Vincente Valero and David J. McConkey2

Departments of Cancer Biology [D. W. D., D. J. M.], Radiation Oncology [T. A. B.], Biostatistics [K. R. H.], Pathology [A. A. S.], and Breast Medical Oncology [V. V.], The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030

Purpose: A large body of evidence implicates apoptosis in the effects of cancer chemotherapeutic agents on tumor cells in vitro and tumor xenografts in vivo, but the predictive value of apoptosis as an early marker for clinical response in cancer patients remains unclear.

Experimental Design: We developed an automated, laser scanning cytometer-based method to quantify the percentage of tumor cells containing DNA fragmentation characteristic of apoptosis in tumor sections. We measured levels of apoptosis in a panel of 15 matched, 18-gauge core breast cancer biopsies obtained before and 48 h after neoadjuvant therapy with docetaxel plus doxorubicin or paclitaxel as part of two prospective clinical trials.

Results: The results revealed a strongly significant (P = 0.0023) association between chemotherapy-induced apoptosis and pathological response.

Conclusions: If the results can be validated in a larger patient cohort, the method could be used to "tailor" therapy to optimize benefit in a patient-specific fashion.




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HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2003 by the American Association for Cancer Research.