YIN-YANG GENE EXPRESSION RATIO MODELS FOR GENERATION OF CLINICAL PROGNOSIS SIGNATURES FOR LUNG CANCER PATIENTS

摘要

A method for selection of a set of Yin genes and Yang genes for use in development of cancer patient prognosis, comprising: (i) screening gene expression data sets collected from a plurality of cancer tissue samples of patients to identify a first plurality of genes expressed in cancerous cells; (ii) screening gene expression data sets collected from a plurality of healthy subjects or cancer adjacent normal tissue samples to identify a second plurality of genes expressed in healthy cells; and (iii) selecting a set of Yin genes and a set of selected Yang genes using pathway and gene functional analysis; (iv) building a Yin and Yang gene expression ratio (YMR) model as a cancer prognosis signature. Implementing prognosis signature software for a cancer patient by: (v) detecting the expression values of selected Yin genes and selected Yang genes; and (vi) calculating the YMR for predicting the patient's clinical outcomes.