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Dataset Information

Characterization of T cell markers in endometrial carcinoma through single-cell RNA sequencing.


ABSTRACT:

Background

Endometrial carcinoma is a leading gynecological malignancy worldwide and is frequently associated with poor prognosis in advanced-stage patients. Immunotherapy has emerged as a promising treatment modality in endometrial cancer. T cells are recognized as vital mediators of immunosurveillance and cancer eradication.

Methods

In this study, we leveraged single-cell RNA sequencing data from the GSE173682 dataset to identify T cell marker genes. Additionally, we collected bulk RNA sequencing data and clinical data from 544 endometrial cancer patients to construct a predictive model. We further explored the correlations between this model and immunotherapy response, drug sensitivity, and mutation status.

Results

We developed an eight-gene prediction signature ba

SUBMITTER: Zhao M 

PROVIDER: S-EPMC12824090 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature