A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery

Proceedings of the National Academy of Sciences of the United States of America

Volumn 104, Issue 32, 2007, Pages 13086-13091

  Lee, Jae K ^a   Havaleshko, Dmytro M ^b   Cho, HyungJun ^a,b,e   Weinstein, John N ^d   Kaldjian, Eric P ^f   Karpovich, John ^c   Grimshaw, Andrew ^c   Theodorescu, Dan ^b  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c University of Virginia   (United States)

^d NATIONAL CANCER INSTITUTE   (United States)

^e Korea University   (South Korea)

^f Gene Logic Inc   (United States)

Author keywords

Bladder neoplasms; Breast neoplasms; Coexpression extrapolation; Microarray expression profiling; NCI 60 anticancer compound screening

Indexed keywords

ACRIDINE DERIVATIVE; CISPLATIN; NSC 637993; PACLITAXEL; ANTINEOPLASTIC AGENT;

ALGORITHM; ARTICLE; BLADDER CANCER; BREAST CANCER; CANCER CELL CULTURE; CANCER RESEARCH; CHEMOSENSITIVITY; CONTROLLED STUDY; DATA BASE; DRUG RESEARCH; HEALTH CARE ORGANIZATION; HUMAN; HUMAN CELL; MALIGNANT NEOPLASTIC DISEASE; MICROARRAY ANALYSIS; PRIORITY JOURNAL; VALIDATION STUDY; BLADDER TUMOR; BREAST TUMOR; DRUG DESIGN; FEMALE; GENE EXPRESSION PROFILING; GENETICS; NEOPLASM; TUMOR CELL LINE;

ALGORITHMS; ANTINEOPLASTIC AGENTS; BREAST NEOPLASMS; CELL LINE, TUMOR; DRUG DESIGN; FEMALE; GENE EXPRESSION PROFILING; HUMANS; NEOPLASMS; URINARY BLADDER NEOPLASMS;

EID: 34548799629     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0610292104     Document Type: Article

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