Predicting response to
adjuvant therapy or predicting
disease progression in
breast cancer is realized by (1) first obtaining a
breast cancer test sample from a subject; (2) second obtaining clinicopathological data from said
breast cancer test sample; (3) analyzing the obtained breast
cancer test sample for presence or amount of (a) one or more molecular markers of
hormone receptor status, one or more
growth factor receptor markers, (b) one or more tumor suppression /
apoptosis molecular markers; and (c) one or more additional molecular markers both proteomic and non-proteomic that are indicative of breast
cancer disease processes; and then (4) correlating (a) the presence or amount of said molecular markers and, with (b) clinicopathological data from said
tissue sample other than the molecular markers of breast
cancer disease processes. A kit of (1) a panel of antibodies; (2) one or more
gene amplification assays; (3) first reagents to assist said antibodies with binding to tumor samples; (4) second reagents to assist in determining
gene amplification; permits, when applied to a breast cancer patient's
tumor tissue sample, (A) permits observation, and determination, of a numerical level of expression of each individual
antibody, and
gene amplification; whereupon (B) a
computer algorithm, residing on a computer can calculate a prediction of
treatment outcome for a specific treatment for breast cancer, or
future risk of breast cancer progression.