Mexican Patients with Breast Cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA305045 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
2015-12-04 | GSE75669 | GEO
Project description:Gene expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey. The experiments were with one color per patient, gene expression profile is from a tumor sample of mexican patients with breast cancer.
2015-12-04 | E-GEOD-75678 | biostudies-arrayexpress
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey. The experiments were with one color per patient, miRNAs expression profile is from a tumor sample of mexican patients with breast cancer.
2015-12-04 | E-GEOD-75669 | biostudies-arrayexpress
Project description:Gene expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
2015-12-04 | GSE75678 | GEO
Project description:Gastric cancer samples of Mexican patients
| PRJNA481039 | ENA
Project description:Cancer Gastric (CG) is a multifactorial disease with an important genetics background, per example copy number variants (CNV). Microarray data analysis were performed to identify CNV that could be contributing to those Mexican patient's clinical phenotypes
2022-04-13 | GSE117093 | GEO
Project description:Breast cancer is a heterogeneous disease described in well-recognized biological subtypes. Particularly, gene expression profiling has revealed 5 intrinsic subtypes of breast cancer characterized by different biological and clinical features. The diversity of the intrinsic subtypes across human population has been limited described, and there is few information about the genomic architecture of breast tumors in Mexican or Hispanic populations. In this study, we performed PAM50 assay, based in Affymetrix microarray profiling of 128 fresh frozen tumors from Mexican Latino Hispanic population, to describe the overall distribution of subtypes, and characterize the relation to clinicopathologic characteristics. As well, we correlated the mRNA expression patterns with specific copy number alterations (CPA), in order to analyze their role in breast tumors. A total of 100 blood-tumor samples were assayed using Affymetrix 6.0 SNP arrays; segmentation analysis and GISTIC were performed to identify focal amplifications or deletions. The distribution of PAM50 intrinsic subtypes in our cohort was computed to be 44% luminal A, 20% luminal B, 12.0% HER2-enriched, 12% basal-like, and 12% normal-like. Study comparison with the literature mainly TCGA and METABRIC (most of the patients came from Caucasian population), as well as LACE (which describe a population study) show a similar distribution of the intrinsic subtypes within Hispanic and Caucasian populations. Interestingly, basal-like subtype is less represented than in African-American race. The sum of sensitivity and specificity between the clinicopathologic and intrinsic subtype categories across 4 groups (excluding normal-like) was 50% and 87.5%, respectively. Differentially expression profiles within the subtypes reveal a set of genes altered in each group with biological relevance to stablish the phenotypical characteristics of each subtype. Our analyses confirmed the already reported copy number data. Importantly, many of the copy number profiles correlated with mRNA subtype. With this analysis we can conclude that breast cancer intrinsic subtypes have been reproduced in Mexican population contributing to the description of the PAM50 subtypes among multiple ethnic groups based on a gene expression assay. Our observation based in the integrative genomic analysis of mRNA expression and CPA allowed us to define gene circuits and phenotypic characteristics that can explain the heterogeneity of breast cancer subtypes.
2018-08-31 | GSE87048 | GEO
Project description:Mitochondrial and oxidative stress have been related to obesity and breast cancer, and this cancer is more frequent and more aggressive in postmenopausal women with obesity. To investigate if Mexican-Mestizo postmenopausal women with breast cancer and obesity presented different somatic mutations in the mitochondrial DNA (mtDNA) when compared to women with normal body mass index.
2019-03-31 | GSE125801 | GEO
Project description: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.
2018-02-23 | GSE110992 | GEO
Project description:Breast cancer is a heterogeneous disease described in well-recognized biological subtypes. Particularly, gene expression profiling has revealed 5 intrinsic subtypes of breast cancer characterized by different biological and clinical features. The diversity of the intrinsic subtypes across human population has been limited described, and there is few information about the genomic architecture of breast tumors in Mexican or Hispanic populations. In this study, we performed PAM50 assay, based in Affymetrix microarray profiling of 128 fresh frozen tumors from Mexican Latino Hispanic population, to describe the overall distribution of subtypes, and characterize the relation to clinicopathologic characteristics. As well, we correlated the mRNA expression patterns with specific copy number alterations (CPA), in order to analyze their role in breast tumors. A total of 100 blood-tumor samples were assayed using Affymetrix 6.0 SNP arrays; segmentation analysis and GISTIC were performed to identify focal amplifications or deletions. The distribution of PAM50 intrinsic subtypes in our cohort was computed to be 44% luminal A, 20% luminal B, 12.0% HER2-enriched, 12% basal-like, and 12% normal-like. Study comparison with the literature mainly TCGA and METABRIC (most of the patients came from Caucasian population), as well as LACE (which describe a population study) show a similar distribution of the intrinsic subtypes within Hispanic and Caucasian populations. Interestingly, basal-like subtype is less represented than in African-American race. The sum of sensitivity and specificity between the clinicopathologic and intrinsic subtype categories across 4 groups (excluding normal-like) was 50% and 87.5%, respectively. Differentially expression profiles within the subtypes reveal a set of genes altered in each group with biological relevance to stablish the phenotypical characteristics of each subtype. Our analyses confirmed the already reported copy number data. Importantly, many of the copy number profiles correlated with mRNA subtype. With this analysis we can conclude that breast cancer intrinsic subtypes have been reproduced in Mexican population contributing to the description of the PAM50 subtypes among multiple ethnic groups based on a gene expression assay. Our observation based in the integrative genomic analysis of mRNA expression and CPA allowed us to define gene circuits and phenotypic characteristics that can explain the heterogeneity of breast cancer subtypes.
2018-08-31 | GSE86374 | GEO