title: A breast cancer prognostic signature predicts clinical outcomes in multiple tumor types.
abstract: Epidemiological studies indicate an increased risk of subsequent primary ovarian cancer from women with breast cancer. We have recently identified a 28-gene expression signature that predicts, with high accuracy, the clinical course in a large population of breast cancer patients. This prognostic gene signature also accurately predicts response to chemotherapy commonly used for treating breast cancer, including CMF, Tamoxifen, Paclitaxel, Docetaxel and Doxorubicin (Adriamycin), in a panel of 60 cancer cell lines of nine different tissue origins. This prompted us to investigate whether this prognostic gene signature could also predict clinical outcome in other cancer types of epithelial origins, including ovarian cancer (n=124), colon tumors (n=74) and lung adenocarcinomas (n=442). The results show that the gene expression signature contributes significantly more accurate (P<0.05; compared with random prediction) prognostic information in multiple cancer types independent of established clinical parameters. Furthermore, the functional pathway analysis with curated database delineated a biological network with tight connections between the signature genes and numerous well established cancer hallmarks, indicating important roles of this prognostic gene signature in tumor genesis and progression.
authors.affiliation: Mary Babb Randolph Cancer Center/Community Medicine, West Virginia University, Morgantown, WV 26506-9300, USA.
authors.forename: Ying-Wooi
authors.initials: YW
authors.lastname: Wan
authors.forename: Yong
authors.initials: Y
authors.lastname: Qian
authors.forename: Shruti
authors.initials: S
authors.lastname: Rathnagiriswaran
authors.forename: Vincent
authors.initials: V
authors.lastname: Castranova
authors.forename: Nancy Lan
authors.initials: NL
authors.lastname: Guo
mesh_terms: D000971:Antineoplastic Combined Chemotherapy Protocols / Q000008:administration & dosage; D054316:Biomarkers, Pharmacological / Q000032:analysis / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism; D001943:Breast Neoplasms / Q000175:diagnosis / Q000188:drug therapy / Q000235:genetics* / Q000473:pathology; D002277:Carcinoma / Q000175:diagnosis / Q000188:drug therapy / Q000235:genetics* / Q000473:pathology; D002289:Carcinoma, Non-Small-Cell Lung / Q000145:classification / Q000175:diagnosis / Q000235:genetics / Q000378:metabolism; D003520:Cyclophosphamide / Q000008:administration & dosage; D004317:Doxorubicin / Q000008:administration & dosage; D005260:Female; D005472:Fluorouracil / Q000008:administration & dosage; D020869:Gene Expression Profiling; D006801:Humans; D008175:Lung Neoplasms / Q000145:classification / Q000175:diagnosis / Q000235:genetics / Q000378:metabolism; D008727:Methotrexate / Q000008:administration & dosage; D009369:Neoplasms / Q000145:classification* / Q000175:diagnosis* / Q000235:genetics / Q000401:mortality; D011379:Prognosis; D016019:Survival Analysis; D013629:Tamoxifen / Q000008:administration & dosage; D016896:Treatment Outcome
chemical_list: D054316:Biomarkers, Pharmacological; D014408:Biomarkers, Tumor; D013629:Tamoxifen; D004317:Doxorubicin; D003520:Cyclophosphamide; D005472:Fluorouracil; D008727:Methotrexate