Evidence map›Paper›PMID 40950702›Full record

ArticleTranslational cancer research2025

Identification of hub genes related to radiosensitivity and prognosis in rectal cancer.

Hui Yang, Yin Liu, Mengdi Hao, Huimin Li, Dajin Yuan, Lei Ding

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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Hui YangDepartment of Radio-Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yin LiuDepartment of Oncology Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Mengdi HaoDepartment of Oncology Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Huimin LiDepartment of Oncology Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Dajin YuanDepartment of Oncology Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Lei DingDepartment of Oncology Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiotherapy is one of the main treatment methods for rectal cancer (RC). However, radioresistance often leads to treatment failure and poor prognosis. This study aimed to explore the core molecules associated with radiosensitivity and prognosis of RC. Methods: GSE133057 containing RC radiosensitivity information was downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) between the complete response (CR) group and the incomplete response (iCR) group were identified. Immune genes were obtained from the ImmPort database. Radiosensitivity-related immune genes (RRIGs) were obtained by intersecting DEGs and the immune genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to study the biological functions of RRIGs. Transcriptomic and clinical data of RC were downloaded from The Cancer Genome Atlas (TCGA) database, and the entire cohort was randomly divided into training and testing sets at a ratio of 7:3. Prognostic genes were selected by univariate and multivariate Cox analyses, and a risk model and nomogram were built subsequently. External dataset validation was performed. The relationship between the risk model and immune cell infiltration was analyzed by single-sample gene set enrichment analysis (ssGSEA). Results: A total of 76 RRIGs were identified, and they were mainly involved in cytokine-cytokine receptor interaction, TNF signaling pathway, cAMP signaling pathway, Toll-like receptor (TLR) signaling pathway, and so on. Conclusions: We identified four key genes:

Indexed as

immune geneprognosisradiosensitivityRectal cancer (RC)

Identifiers

PMID40950702
PMCPMC12432772

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