Population-based molecular prognosis of breast cancer by transcriptional profiling.

Population-based molecular prognosis of breast cancer by transcriptional profiling. Research Abstract Details 

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Population-based molecular prognosis of breast cancer by transcriptional profiling. Abstract Text:

Yan Ma,Yong Qian,Liang Wei,Jame Abraham,Xianglin Shi,Vincent Castranova,E James Harner,Daniel C Flynn,Lan Guo,

PURPOSE: The purpose of this study is to predict breast cancer recurrence and metastases and to identify gene signatures indicative of clinicopathologic characteristics using gene expression patterns derived from cDNA microarray. EXPERIMENTAL DESIGN: Expression profiles of 7,650 genes were investigated on an unselected group of 99 node-negative and node-positive breast cancer patients to identify prognostic gene signature of recurrence and metastases. The identified gene signature was validated on independent 78 patients with primary invasive carcinoma (T(1)/T(2) and N(0)) and on 58 patients with locally advanced breast cancer (T(3)/T(4) and/or N(2)). The gene predictors were identified using a combination of random forests and linear discriminant analysis function. RESULTS: This study identified a new 28-gene signature that achieved highly accurate disease-free survival and overall survival (both at P < 0.001, time-dependent receiver operating characteristic analysis) in individual breast cancer patients. Patients categorized into high-risk, intermediate-risk, and low-risk groups had distinct disease-free survival (P < 0.005, Kaplan-Meier analysis, log-rank test) in three patient cohorts. A strong association (P < 0.05) was identified between risk groups and tumor size, tumor grade, estrogen receptor and progesterone receptor status, and HER2/neu overexpression in the studied cohorts. We also identified 14-gene predictors of nodal status and 9-gene predictors of tumor grade. CONCLUSIONS: This study has established a population-based approach to predicting breast cancer outcomes at the individual level exclusively based on gene expression patterns. The 28-gene recurrence signature has been validated as quantifying the probability of recurrence and metastases in patients with heterogeneous histology and disease stage.

Population-based molecular prognosis of breast cancer by transcriptional profiling. Publishing Authors By Initials

Y Ma,Y Qian,L Wei,J Abraham,X Shi,V Castranova,EJ Harner,DC Flynn,L Guo,

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Population-based molecular prognosis of breast cancer by transcriptional profiling. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Clinical cancer research : an official journal of

VOLUME: 13

Page Numbers: 2014-22

Journal Abbreviation: Clin. Cancer Res.

ISSN: 1078-0432

DAY: 1

MONTH: Apr

YEAR: 2007

Population-based molecular prognosis of breast cancer by transcriptional profiling. Information

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LANGUAGE: eng

NlmUniqueID: 9502500

Population-based molecular prognosis of breast cancer by transcriptional profiling. Keywords Mesh Terms:

KEYWORDS: ROC Curve

MESH TERMS: genetics

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Grant and Affiliation Information for Population-based molecular prognosis of breast cancer by transcriptional profiling.

AFFILIATION: Mary Babb Randolph Cancer Center, Department of Statistics, Division of Hematology, West Virginia University, Morgantown, WV 26506-9300, USA.

Country: United States

AGENCY: United States NCRR

GRANT: P20 RR16440-03

ACRONYM: RR

MEDLINETA: Clin Cancer Res

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