ArticleFrontiers in oncology2022
Reclassification of endometrial cancer and identification of key genes based on neural-related genes.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Integrating artificial intelligence and multi-omics data for precision oncology in endometrial cancer: a narrative review.Functional & integrative genomics · 2026Review
- SEMA4F Regulates the Malignant Phenotype of Hepatocellular Carcinoma Cells Through the PI3K-Akt Pathway.Journal of hepatocellular carcinoma · 2026Article
- Integrating network pharmacology and experimental validation to reveal the anti-growth mechanism of panaxadiol against glioblastoma via calcium signaling.Frontiers in molecular biosciences · 2025Article
- NRDR Inhibits the Migration of Endometrial Cancer Cells and Affects Their Gene Expression.Scientifica · 2025Article
- SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data.PLoS genetics · 2023Article
- ZAP70 interaction with 13 mRNAs as a potential immunotherapeutic target for endometrial cancer.Oncology letters · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
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Abstract
Endometrial cancer (EC) is the most common gynecologic malignancy, and its incidence has been increasing every year. Nerve signaling is part of the tumor microenvironment and plays an active role in tumor progression and invasion. However, the relationship between the expression of neural-related genes (NRGs) and prognosis in endometrial cancer remains unknown. In this study, we obtained RNA sequencing data of EC from The Cancer Genome Atlas (TCGA). Endometrial cancer was classified into two subtypes based on the expression of neural-associated genes (NRGs), with statistical differences in clinical stage, pathological grading, and prognosis. A prognostic prediction model was established by LASSO-Cox analysis, and the results showed that high expression of NRGs was associated with poor survival prognosis. Further, CHRM2, GRIN1, L1CAM, and SEMA4F were found to be significantly associated with clinical stage, immune infiltration, immune response, and important signaling pathways in endometrial cancer. The reclassification of endometrial cancer based on NRG expression would be beneficial for future clinical practice. The genes CHRM2, GRIN1, L1CAM, and SEMA4F might serve as potential biomarkers of EC prognosis.
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