Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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]

PMID: 21750966

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Project description:Background: Obesity is a risk factor for breast cancer in postmenopausal women and is associated with decreased survival and less favorable clinical characteristics such as greater tumor burden, higher grade, and poor prognosis, regardless of menopausal status. Despite the negative impact of obesity on clinical outcome, molecular mechanisms through which excess adiposity influences breast cancer etiology are not well-defined. Methods: Affymetrix U133 2.0 gene expression data were generated for 405 primary breast tumors using RNA isolated from laser microdissected tissues. Patients were classified as normal-weight (BMI<25), overweight (BMI 25-29.9) or obese (BMI>30). Statistical analysis was performed by ANOVA using Partek Genomics Suite version 6.6 using a false discovery rate <0.05 to define significance. Results: Obese patients were significantly more likely to be diagnosed >50 years or with African American ancestry compared to lean or overweight women. Pathological characteristics, including tumor stage, size or grade, lymph node status, intrinsic subtype, and breast cancer mortality did not differ significantly between groups. No significant gene expression differences were detected by BMI In a non-stratified analysis which included all subtypes or within luminal B, HER2-enriched or basal-like subtypes. Within luminal A tumors, however, 84 probes representing 77 genes from pathways such as cell cycle, p53 and mTOR signaling, tight junctions and a number of cancer associated pathways were differentially expressed. Conclusions: Identification of transcriptome differences in luminal A tumors from normal-weight compared to obese women suggests that obesity alters gene expression within ER+ tumor epithelial cells. Alterations of pathways involved in cell cycle control, tumorigenesis and metabolism may promote cellular proliferation and provide a molecular explanation for less favorable outcome of obese women with breast cancer. Targeted treatments, such as mTOR inhibitors, may allow for improved treatment and survival of obese women, especially African American women, who are more likely to be obese and suffer outcome disparities.

Dataset Information

Gene transcription signature of obesity in breast cancer

Publications

A gene transcription signature of obesity in breast cancer.

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