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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Gene-expression Signature ♦ Predictor Survival Breast Cancer ♦ Poor Prognosis ♦ Positive Disease ♦ Lymph-node Negative Disease ♦ Multivariable Statistical Analysis ♦ Consecutive Patient ♦ Predictive Power ♦ Ii Breast Cancer ♦ Adjuvant Systemic Therapy ♦ Microarray Analysis ♦ Good Prognosis ♦ 70-gene Prognosis Profile ♦ Accurate Mean ♦ Primary Breast Carcinoma ♦ Breast Cancer ♦ Prognosis Profile
Abstract Background A more accurate means of prognostication in breast cancer will improve the selection of patients for adjuvant systemic therapy. Methods Using microarray analysis to evaluate our previously established 70-gene prognosis profile, we classified a series of 295 consecutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis. All patients had stage I or II breast cancer and were younger than 53 years old; 151 had lymph-node–negative disease, and 144 had lymphnode–positive disease. We evaluated the predictive power of the prognosis profile using univariable and multivariable statistical analyses.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study