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Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [30 cases]

ABSTRACT: Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [30 cases]

PROVIDER: PRJNA714599 | ENA |

REPOSITORIES: ENA

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Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [30 cases]

Project description:We conducted an epigenome-wide association study (EWAS) to evaluate global DNA methylation in EOC. In a retrospective cohort of 30 HGSOC subtype primary ovarian cancers, we observed that global DNA hypermethylation was preferentially associated with recurrent HGSOC. A total of 2,969 DMPs corresponding to 1,471 genes were involved in olfactory transduction, and calcium and cAMP signaling.

2021-08-11 | GSE168921 | GEO

Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [80 cases]

Project description:Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [80 cases]

| PRJNA714617 | ENA

Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers [80 cases]

Project description:We conducted an epigenome-wide association study (EWAS) to evaluate global DNA methylation in EOC. In a retrospective cohort of 80 primary ovarian cancers, we observed that global DNA hypermethylation was significantly associated with high-grade tumors, platinum-resistance and poor prognosis. We determined that 8,600 differentially methylated probes (DMPs) were enriched in the intergenic regions of 4,673 genes involved in small GTPases and were significantly correlated with the PI3K-AKT, MAPK, RAS, and WNT oncogenic pathways.

2021-08-11 | GSE168926 | GEO

Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers

Project description:Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers

| PRJNA714610 | ENA

Agilent 400K aCGH data for 30 human gastric cancers

Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 400K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 30 gastric cancer patients. Whole genomic CNAs in 30 human gastric cancers were analyzed using the Agilent aCGH-400K arrays. Matched normal tissues were used as the reference.

2015-05-28 | E-GEOD-69266 | biostudies-arrayexpress

PICU cases

Project description:PICU cases

| PRJEB73551 | ENA

Genome-wide DNA methylome analysis identifies putative biomarkers associated with the survival of human ovarian cancers

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-08-11 | GSE168930 | GEO

a-CGH of Esophageal Cancer (53 cases)

Project description:Esophageal cancer is one of the most aggressive cancers and the sixth leading cause of cancer death worldwide. Approximately 70% of the global esophageal cancers occur in China and over 90% histopathological forms of this disease are esophageal squamous cell carcinoma (ESCC). Currently, there are limited clinical approaches for early diagnosis and treatment for ESCC, resulting in a 10% 5-year survival rate for the patients. Meanwhile, the full repertoire of genomic events leading to the pathogenesis of ESCC remains unclear. Here we show a comprehensive genomic analysis in 158 ESCC cases, as part of the International Cancer Genome Consortium (ICGC) Research Projects (http://icgc.org/icgc/cgp/72/371/1001734). We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases and additional 70 ESCC cases were subjected to array comparative genomic hybridization (a-CGH) analysis.

2014-03-11 | GSE54994 | GEO

a-CGH of Esophageal Cancer (70 cases)

2014-03-11 | GSE54993 | GEO

a-CGH of Esophageal Cancer (70 cases)

2014-03-11 | E-GEOD-54993 | biostudies-arrayexpress