Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exploring the tumor micro-environment of ovarian cancer histotypes and tumor sites

ABSTRACT: Exploring the tumor micro-environment of ovarian cancer histotypes and tumor sites

PROVIDER: PRJNA988051 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Exploring the tumor micro-environment of ovarian cancer histotypes and tumor sites

Project description:Ovarian cancer is a common, malignant cancer in the female reproductive system. Despite the commonly affected tissue ovary, ovarian cancer is a heterogeneous disease consisting of at least five different histological subtypes and varying clinical features, cells of origin, molecular composition, risk factors, and treatments. With cumulative studies on the tumor microenvironment, a comprehensive landscape of the constituent cell types, and their interactions are yet to be established in ovarian cancer and its histotypes. Further characterization of tumor progression, metastasis, and various histotypes is needed to connect molecular signatures to pathological grading for tailored diagnosis and treatment. In this study, we leveraged high-resolution single-cell RNA sequencing technology to elucidate the cellular compositions on 21 solid tumor samples collected from 12 patients with six ovarian cancer histotypes and both primary (ovaries) and metastatic (omentum, rectum) sites. The diverse collection allows us to zoom in on histotype and tumor site-specific expression patterns of cells in the tumor and identify key marker genes and ligand-receptor pairs that are active in the ovarian tumor microenvironment. Our findings can be used in improving disease stratification and design of customized treatment.

2023-12-15 | GSE235931 | GEO

Genetic Epidemiology of Ovarian Cancer Histotypes

Project description:Genetic Epidemiology of Ovarian Cancer Histotypes

| PRJNA906704 | ENA

Genetic Epidemiology of Ovarian Cancer Histotypes

Project description:Genetic Epidemiology of Ovarian Cancer Histotypes

| PRJNA906705 | ENA

Next generation sequencing profiling experimental circulating tumor cells-derived metastatic variants [micro-environment]

Project description:Next generation sequencing profiling experimental circulating tumor cells-derived metastatic variants [micro-environment]

| PRJNA449338 | ENA

A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes

Project description:Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. We estimate a significant genetic correlation (rg) between endometriosis and clear cell (rg=0.71), endometrioid (rg=0.48) and high-grade serous (rg=0.19) ovarian cancer, associations supported by Mendelian randomization analyses. Bivariate meta-analysis identify 28 loci associated with both endometriosis and EOC, including 19 with evidence for a shared underlying association signal. Differences in the shared risk suggest different underlying pathways may contribute to the relationship between endometriosis and the different histotypes. Functional annotation using transcriptomic and epigenomic profiles of relevant tissues/cells highlights several target genes. This comprehensive analysis reveals profound genetic overlap between endometriosis and EOC histotypes with valuable genomic targets for understanding the biological mechanisms linking the diseases.

2022-03-07 | GSE197928 | GEO

B cell activating factor (BAFF) attenuates immunosuppressive monocytes in the melanoma tumor micro-environment

Project description:B cell activating factor (BAFF) attenuates immunosuppressive monocytes in the melanoma tumor micro-environment

| PRJNA744514 | ENA

Drug Sensitivity Detection of Micro Tumor (PTC) to Guide Postoperative Adjuvant Treatment Strategy of Colorectal Cancer

Project description:The research objectives is to compare vitro 3D drug sensitivity test results of micro tumor (PTC) with the clinical outcomes of patients, evaluate the consistency between the test results of the technology platform and the clinical prognosis, and explore the decision-making value and guiding significance of this technology in assisting the precise treatment of colorectal cancer. The completion of this study will provide real-world data support for the clinical application of micro tumor (PTC) in vitro 3D drug sensitivity detection technology, and provide more valuable reference basis for realizing the individualization and accuracy of colorectal cancer treatment and improving the clinical benefit rate.

| 2736255 | ecrin-mdr-crc

Next generation sequencing profiling experimental circulating tumor cells-derived metastatic variants [micro-environment]

Project description:Hematogenous metastasis is initiated by a subset of circulating tumor cells (CTCs) shed from primary or metastatic tumors into the blood circulation. Thus, CTCs provide a unique patient biopsy resource to decipher the cellular subpopulations that initiate metastasis and their molecular properties. However, one crucial question is whether CTCs derived from patients recapitulate human metastatic disease in an animal model. Here, we show that CTC lines established from breast cancer patients are capable of generating metastases in mice with a pattern recapitulating most major organs from corresponding patients. To investigate the tumor microenvironment changes in different metastases, we used RNA-seq to analyze expression changes in stromal cells after tumor formation in the brain, lung and bone microenvironments relative to control stromal cells from tumor free mice.

2019-10-14 | GSE112853 | GEO

Micro-BC

Project description:Micro-BC Metagenome

| PRJNA831285 | ENA

Host Micro

Project description:Host Micro Metagenome

| PRJNA793758 | ENA