Faculty Opinions recommendation of Concordance among gene-expression-based predictors for breast cancer.

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Abstract
This study reveals that, while multiple gene expression-based profiles have been described by numerous laboratories for predicting breast cancer survival and recurrence, several of these lists are concordant in their ability to predict outcome. This indicates that there may be many sets of predictive genes that have similar prognostic power and that multiple tests could be developed, each with similar levels of efficacy. Expression profiling has been proposed to be a more accurate approach for prognostication of breast cancer than NIH standards {1,2}. However, multiple prediction gene sets have been identified by distinct laboratories and the specific genes within these lists show very little overlap. This study evaluated the predictive power of each list on the same set of breast cancer specimens, revealing concordance between the function of all multi-gene lists except one that relies on the expression pattern of only two genes. The ability of independent lists to predict outcome from breast cancer suggests that these lists are all reporting on a similar biological process(es).

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