Title :
Identifying genes associated with chemotherapy response in ovarian carcinomas based on DNA copy number and expression profiles
Author :
Hsu, Fang-Han ; Serpedin, Erchin ; Hsiao, Tzu-Hung ; Bishop, Alexander J R ; Dougherty, Edward R. ; Chen, Yidong
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
DNA copy number alterations (CNAs) may change transcription profiles and are reported to be associated with chemotherapy response. Using a recently concluded ovarian cancer study derived from the Cancer Genome Atlas (TCGA) Research Network, we selected 98 ovarian cancer samples derived from patients who were only treated with Paclitaxel/Carboplatin after the surgery. A statistical testing procedure was proposed to examine the genes with CNAs and correlated changes in expression level, and their associated response to chemotherapy in progression-free survival. Among 12,042 genes under consideration, 112 genes with CNAs and correlated gene expression levels were found to be associated with progression-free survival (PFS) significantly. The region containing many selected genes, 1p35.1-1p34.2, is closely examined as a candidate segment where CNAs are significantly associated with chemotherapeutic response to Paclitaxel/Carboplatin. Biological processes and molecular functions associated with chemotherapy response were further proposed based on a gene ontology enrichment analysis.
Keywords :
DNA; cancer; genetics; medical computing; ontologies (artificial intelligence); statistical testing; DNA copy expression profiles; DNA copy number alterations; biological processes; cancer genome atlas research network; carboplatin; chemotherapy response; correlated gene expression levels; gene identification; gene ontology enrichment analysis; molecular functions; ovarian cancer study; ovarian carcinomas; paclitaxel; progression-free survival; statistical testing; transcription profiles; Bioinformatics; Cancer; DNA; Gene expression; Genomics; Proteins; Tumors;
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4673-0491-7
Electronic_ISBN :
2150-3001
DOI :
10.1109/GENSiPS.2011.6169438