STATISTICAL-MODEL FOR PREDICTING RESPONSE OF BREAST-CANCER PATIENTS TO CYTOTOXIC CHEMOTHERAPY

  • 1 January 1978
    • journal article
    • research article
    • Vol. 38  (8) , 2544-2548
Abstract
A binary logistic model was used for predicting response to cytotoxic chemotherapy for a breast cancer patient on the basis of her tumor enzyme activity profile. The enzymes used in the model are lactate dehydrogenase, NADP-isocitrate dehydrogenase and phosphoglucomutase, all of which were measured on primary tumor specimens from each patient. The statistical model provides an estimate of the probability that an individual will respond to treatment. Chemotherapeutic treatment consisting of combination cytotoxic drugs and subsequent evaluation of patient response followed cooperative group protocol guidelines, including outside review to confirm the patient evaluation. The model represents 5 yr of patient follow-up and correctly predicted clinical outcome in 32 of the 37 cases available.