Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players

ABSTRACT:

SUBMITTER: Zhang Y

PROVIDER: S-EPMC12127166 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players

Project description:A multi-gene model based on inflammatory response relevant genes was constructed for cervical cancer patients. The association of patients’ scores for the model and the characteristics of tumor microenvironment as well as patients’ predicted response to anti-cancer treatments was analyzed. Based on the single-cell RNA-sequencing (scRNA-seq) data, two tumor infiltrating monocytes (TIM) clusters were found to be associated with the inflammatory response in the tumor microenvironment. The tumour tissues of 23 cervical adenocarcinoma patients in our hospital were collected and bulk RNA-sequencing was carried out. The correlation of marker genes of the two TIM clusters and patients’ score of the multi-gene model was analyzed to validate the findings on the scRNA-seq data.

2025-05-15 | GSE291865 | GEO

Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players

Project description:Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players

| PRJNA1235690 | ENA

An epigenetic and transcriptomic signature of immune tolerance in human monocytes through multi-omics integration.

Project description: Not available

| S-EPMC8365568 | biostudies-literature

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment.

Project description: Not available

| S-EPMC8181403 | biostudies-literature

A hypoxia-derived gene signature to suggest cisplatin-based therapeutic responses in patients with cervical cancer.

Project description: Not available

| S-EPMC11231957 | biostudies-literature

Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy.

Project description: Not available