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

GSE291865 Homo sapiens Expression profiling by high throughput sequencing 23 samples 2025/05/15 GPL29480
Summary
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.
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NCBI GEO page ↗ Paper (PMID 40458391) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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