Unknown,Transcriptomics,Genomics,Proteomics

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Gene transcription signature of obesity in breast cancer


ABSTRACT: Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of tumors for which the patients’ body mass index (BMI) was ascertained. Sample profiles were stratified according to patients’ obesity phenotype defined as normal (BMI <25), overweight (BMI 25-29.9), or obese (BMI>30). Widespread alterations in gene expression were evident in breast tumors from obese patients as compared to tumors from other patients, allowing us to define an obesity-associated cancer transcriptional signature of 662 genes. Keywords: two group comparison Primary breast tumor specimens were obtained from patients. Study volunteers completed questionnaires used to define historically normal (BMI<=24.9), overweight (BMI 25-29.9), or obese (BMI>=30) patient categories according to established WHO criteria.

ORGANISM(S): Homo sapiens

SUBMITTER: Chad Creighton 

PROVIDER: E-GEOD-24185 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A gene transcription signature of obesity in breast cancer.

Creighton Chad J CJ   Sada Yvonne H YH   Zhang Yiqun Y   Tsimelzon Anna A   Wong Helen H   Dave Bhuvanesh B   Landis Melissa D MD   Bear Harry D HD   Rodriguez Angel A   Chang Jenny C JC  

Breast cancer research and treatment 20110713 3


Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of 103 tumors for which the patients' body mass index (BMI) was ascertained. Sample profiles were stratified acc  ...[more]

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