Prognostic Method for Individuals with Prostate Cancer

摘要

The present invention relates generally to the detection and identification of various forms of genetic markers, and various forms of proteins, which have the potential utility as diagnostic markers. By determining the level of a plurality of biomarkers and genetic markers in a patient sample, and combining the obtained values according to a predefined formula, it is possible to forecast if it is likely that the prostate cancer patient will require active therapy like radiation therapy or surgery. A method based on a redundantly designed combination of data is disclosed for estimating if prostate cancer is aggressive or indolent. Said method combines SNP data to form a composite value, wherein at least 5% of the SNPs can be disregarded.

主权项

1. A method based on a redundantly designed combination of data for estimating if an individual diagnosed with prostate cancer will require active therapy, comprising the steps of:
(i) Providing at least one biological sample from said individual; (ii) In said biological sample, analyzing a category of SNPs related to PCa (SNPpc), by measuring a presence or absence of each of a plurality of SNPpc; (iii) Combining data regarding said category of SNPpc to form a SNPpc composite value, wherein the method allows disregarding a subset of at least 5% of the SNPpc of the SNPpc category when forming the SNPpc composite value; (iv) Correlating said SNPpc composite value to the likelihood of the individual requiring active therapy, by comparing the SNPpc composite value to a pre-determined cut-off value established with control samples, wherein it is known if the individuals, from whom the control samples originate, required active therapy or did not require active therapy.