Genetic Characterization of Endometrial Cancers
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA490405 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genetic Characterization of Endometrial Cancers
| PRJNA490406 | ENA
Project description:Accumulating evidence suggests a relationship between endometrial cancer and epithelial ovarian cancer. For example, endometrial cancer and epithelial ovarian cancer share epidemiological risk factors and molecular features observed across histotypes are held in common (e.g. serous, endometrioid and clear cell). Independent genome-wide association studies (GWAS) for endometrial cancer and epithelial ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. Using GWAS summary statistics, we explored the shared genetic etiology between endometrial cancer and epithelial ovarian cancer. Genetic correlation analysis using LD Score regression revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e. inverse-variance meta-analysis, co-localization, and M-values), and performed analyses by stratified by subtype. We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10-9). In addition, four novel regions at 7p22.2, 7q22.1, 9p12 and 11q13.3 were identified at a sub-genome wide threshold (P < 5 × 10-7). Integration with promoter-associated HiChIP chromatin loops from immortalized endometrium and epithelial ovarian cell lines, and expression quantitative trait loci (eQTL) data highlighted candidate target genes for further investigation.
2020-07-30 | GSE155328 | GEO
Project description:Global gene expression patterns associated with early stage endometrial cancer have been reported, but changes in molecular expression associated with tumor grade, depth of myometrial invasion, and non-endometrioid histology have not been previously elucidated. Our group hypothesized there are unique genetic events underlying early endometrial carcinogenesis. Ninety-two samples of pathologically reviewed stage I endometrial cancers (80 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide microarray analysis and a subset of the differentially expressed transcripts was validated using quantitative PCR. Comparison of early stage cancers with normal endometrium samples by the univariate t-test with 10,000 permutations identified 900 genes that were differentially regulated by at least 4-fold at a p value of <0.001. Unsupervised analysis revealed that when compared to normal endometrium, serous and endometrioid stage I cancers appeared to have similar expression patterns. However, when compared in the absence of normal controls, they were distinct. Differential expression analysis revealed a number of transcripts that were common as well as unique to both histologic types. This data uncovers previously unrecognized, novel pathways involved in early stage endometrial cancers and identifys targets for prevention strategies that are inclusive of both endometrioid and serous histologic subtypes. Ninety-one samples of pathologically reviewed stage I endometrial cancers (79 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide array analysis.
2011-12-13 | E-GEOD-17025 | biostudies-arrayexpress
Project description:Functional characterization of genetic variants associated with upper digestive cancers
| PRJNA1002976 | ENA
Project description:Global gene expression patterns associated with early stage endometrial cancer have been reported, but changes in molecular expression associated with tumor grade, depth of myometrial invasion, and non-endometrioid histology have not been previously elucidated. Our group hypothesized there are unique genetic events underlying early endometrial carcinogenesis. Ninety-two samples of pathologically reviewed stage I endometrial cancers (80 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide microarray analysis and a subset of the differentially expressed transcripts was validated using quantitative PCR. Comparison of early stage cancers with normal endometrium samples by the univariate t-test with 10,000 permutations identified 900 genes that were differentially regulated by at least 4-fold at a p value of <0.001. Unsupervised analysis revealed that when compared to normal endometrium, serous and endometrioid stage I cancers appeared to have similar expression patterns. However, when compared in the absence of normal controls, they were distinct. Differential expression analysis revealed a number of transcripts that were common as well as unique to both histologic types. This data uncovers previously unrecognized, novel pathways involved in early stage endometrial cancers and identifys targets for prevention strategies that are inclusive of both endometrioid and serous histologic subtypes.
2011-12-13 | GSE17025 | GEO
Project description:Functional characterization of genetic variants associated with upper digestive cancers [HiChIP]
| PRJNA986062 | ENA
Project description:Genetic of multiple primary cancers
| PRJNA1131824 | ENA
Project description:Functional characterization of genetic variants associated with upper digestive cancers [ChIP-Seq]
| PRJNA1002983 | ENA
Project description:Using H3K27ac HiChIP assays to link genetic variants to target genes in upper digestive cancers
2024-02-25 | GSE235431 | GEO
Project description:Integrative molecular characterization of genitourinary cancers
| PRJNA647005 | ENA