Invention Grant
- Patent Title: Methods for predicting prostate cancer relapse
-
Application No.: US15890789Application Date: 2018-02-07
-
Publication No.: US11008624B2Publication Date: 2021-05-18
- Inventor: Jianhua Luo , Yanping Yu , Chien-Cheng Tseng , Shuchang Liu , George Michalopoulos , Joel Nelson
- Applicant: UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
- Applicant Address: US PA Pittsburgh
- Assignee: UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
- Current Assignee: UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
- Current Assignee Address: US PA Pittsburgh
- Agency: Baker Botts L.L.P.
- Main IPC: C12Q1/6886
- IPC: C12Q1/6886 ; C12Q1/6837

Abstract:
The present invention relates to methods for determining whether a subject having prostate cancer is at an increased risk for relapse or rapid relapse. It is based, at least in part, on the results of a comprehensive genome analysis of 273 prostate cancer samples, which indicate that the percentage of large size CNVs predicts prostate cancer relapse. In certain embodiments, a method for determining whether a prostate cancer patient has an increased risk of suffering a relapse or a rapid relapse comprises determining the number and size of CNVs in a sample and determining a large size ratio, where if the large size ratio exceeds a particular threshold, the patient is deemed to be at an increased risk for relapse or rapid relapse.
Public/Granted literature
- US20180230547A1 METHODS FOR PREDICTING PROSTATE CANCER RELAPSE Public/Granted day:2018-08-16
Information query
IPC分类: