Dataset Information

Microarray study of tumoral tissue transcriptome of breast cancer in mexican women who are overweight or obese

ABSTRACT: In this work, transcriptoma of invasive breast carcinoma was studied by means of microarray expression in Mexican women who are overweight or obese. The dysfunction of the adipokines signaling pathways has recently been linked to more aggressive features of breast cáncer. We hypothesized that there are changes related to the signaling of adipokines in the expression profile of invasive breast carcinoma of Mexican women with overweight or obesity. The objectives were as follows: 1) Determine the expression profile of tumour tissue of Mexican women who are overweight or obese by comparing tumoral tissue and non -tumoral tissue, both from the same patient, 2) Identification of over- or underexpressed genes involved in signalling pathways related to adipokines and the tumour process, 3) Identify the signalling pathways that presented genes with expression changes and were related to adipokines and the tumoural process.

ORGANISM(S): Homo sapiens

PROVIDER: GSE110992 | GEO | 2018/02/23

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

Microarray study of tumoral tissue transcriptome of breast cancer in mexican women who are overweight or obese

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets