Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

ABSTRACT: Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

PROVIDER: PRJNA667060 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

Project description:Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

2024-12-31 | GSE214904 | GEO

Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

Project description:We measured gene expression in single-cell RNA sequencing samples from patients with high-grade serous ovarian cancer (HGSOC), for a study on improving HGSOC subtype definition by taking into account varying cell type proportions within tumors.

2020-10-03 | GSE158937 | GEO

LncRNA and mRNA expression profiles in High-grade serous ovarian cancer, Low-grade serous ovarian cancer and Normal fallopian tube

Project description:Ovarian cancer is the most lethal gynecologic cancer. High-grade serous ovarian carcinoma (HGSOC) is the most common histologic subtype, accounting for three quarters of ovarian cancer. To clarify the changes of gene expression in serous ovarian cancer, we performed lncRNA and mRNA microarrays to identify differentially expressed lncRNAs and mRNAs in High-grade and Low-grade serous ovarian carcinoma compared with Normal fallopian tube.

2020-02-12 | GSE135886 | GEO

Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

Project description:Gene expression in High-Grade Serous Ovarian Cancer (HGSOC) cells

| PRJNA887714 | ENA

microRNA profiling of serum microRNA from high grade serous ovarian carcinoma

Project description:High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic neoplasm, with five-year survival rate below 30%. Early disease detection is of utmost importance to improve the cure rate of HGSOC. Liquid biopsies are now becoming a new paradigm to develop novel biomarkers with diagnostic and prognostic purposes. The focus of this study was to detect the levels of circulating miRNAs in tissues and sera from patients with HGSOC and to evaluate their diagnostic value. To this end, an array-based discovery platform, followed by an innovative statistical approach of data normalization, was exploited, to identify miRNA species selectively expressed in serum of patients with HGSOC. Sera from 106 high grade serous ovarian carcinoma (HGSOC) and 24 healthy controls were used for profiling serum microRNA using a modified version of a commercially available microarray, with the aim of identifying differentially expressed microRNA between tumor patients and healthy controls.

2017-01-30 | E-MTAB-4667 | biostudies-arrayexpress

Hypoxia-mediated high expression of TRIM15 promotes malignant progression of high-grade serous ovarian cancer (HGSOC) through activation of AKT signaling pathway by K63 ubiquitination

Project description:To analyze the gene expression patterns of ovary in 4 patients with high-grade serous ovarian cancer (HGSOC) and 4 normal individuals.

2025-01-06 | GSE264282 | GEO

Evaluation of Tumor Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer

Project description:Tumor infiltrating lymphocytes (TILs) play a significant role in the tumor microenvironment in high-grade serous ovarian cancer (HGSOC). To better understand the interactions and functions of TILs in HGSOC progression, we performed proteogenomic profiling of TILs in 65 tumors collected from 12 HGSOC patients.

2024-03-15 | PXD045710 | Pride

Proteomic analysis of tumor tissues form high-grade serous ovarian cancer patients

Project description:In the present project, in order to explore the molecular basis of platinum resistance and further determine potential biomarkers and therapeutic targets for high-grade serous ovarian cancer (HGSOC), we conducted a comparative proteomic analysis to identify the differentially expressed proteins between tumor tissues from platinum-sensitive and platinum-resistant HGSOC patient groups.

2021-09-30 | PXD028225 |

Affymetrix SNP array data for high-grade serous ovarian cancer samples

Project description:High-grade serous ovarian cancer is the most aggressive histological type of epithelial ovarian cancer, which is characterized by a high frequency of somatic TP53 mutations. To provide a better understanding of the molecular mechanisms involved in the pathogenesis of these cancers and to develop a risk classification system, we conducted profiling of the copy number alterations present in these tumors. Thirty patients who were diagnosed as high-grade serous ovarian cancer were recruited in this study. Affymetrix SNP array were performed according to the manufacturer's directions on DNA extracted from high-grade serous ovarian cancer tissues or peripheral blood samples. The Japanese Serous Ovarian Cancer Study Group

2015-09-05 | E-GEOD-61237 | biostudies-arrayexpress

Evolution of core archetypal phenotypes in high-grade serous ovarian cancer (HGSOC)

Project description:Evolution of core archetypal phenotypes in high-grade serous ovarian cancer (HGSOC)

| PRJNA666354 | ENA