IMPDH1 is a potential immune evasion-related oncoprotein in endometrial cancer

Endometrial cancer is one of the most common gynecologic malignancies, with increasing evidence suggesting the involvement of immune-related processes rather than direct immune evasion mechanisms in its progression. However, effective immune-related biomarkers for prognostic evaluation and therapeutic targeting remain limited. This study aimed to identify novel immune-associated molecules based on clinical endometrial cancer specimens using integrated proteomic and bioinformatic approaches. Proteomic analysis was performed on tumor and adjacent normal tissues from endometrial cancer patients. Differentially expressed proteins were screened and further analyzed through transcriptomic validation, survival analysis, immune infiltration assessment, and pathway enrichment to explore their clinical relevance and potential functional roles in the tumor immune microenvironment. IMPDH1 was identified as a significantly upregulated protein in endometrial cancer and was associated with unfavorable prognosis. High expression of IMPDH1 was correlated with reduced CD8⁺ T cell infiltration and features of an immunosuppressive tumor microenvironment. Functional enrichment suggested its involvement in purine metabolism and a potential role in immune-related processes. This study identifies IMPDH1 as a novel immune-related biomarker in endometrial cancer, with potential value for prognosis and immunotherapy.

Authors

Institutions

Publication Details

Journal
BMC Genomic Data
Published
2026-04-30
DOI
https://doi.org/10.1186/s12863-026-01427-5
Primary Topic
Biochemical and Molecular Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMPDH1 is a potential immune evasion-related oncoprotein in endometrial cancer

Shipeng Gong, Ruibin Jiang, Yadi Zhang, Weichang Chen et al.
BMC Genomic Data
Biochemical and Molecular Research
article

IMPDH1 is a potential immune evasion-related oncoprotein in endometrial cancer

Shipeng Gong, Ruibin Jiang, Yadi Zhang, Weichang Chen, Yongning Chen, Fei Wu, Fei Ma
article en

Abstract

Endometrial cancer is one of the most common gynecologic malignancies, with increasing evidence suggesting the involvement of immune-related processes rather than direct immune evasion mechanisms in its progression. However, effective immune-related biomarkers for prognostic evaluation and therapeutic targeting remain limited. This study aimed to identify novel immune-associated molecules based on clinical endometrial cancer specimens using integrated proteomic and bioinformatic approaches. Proteomic analysis was performed on tumor and adjacent normal tissues from endometrial cancer patients. Differentially expressed proteins were screened and further analyzed through transcriptomic validation, survival analysis, immune infiltration assessment, and pathway enrichment to explore their clinical relevance and potential functional roles in the tumor immune microenvironment. IMPDH1 was identified as a significantly upregulated protein in endometrial cancer and was associated with unfavorable prognosis. High expression of IMPDH1 was correlated with reduced CD8⁺ T cell infiltration and features of an immunosuppressive tumor microenvironment. Functional enrichment suggested its involvement in purine metabolism and a potential role in immune-related processes. This study identifies IMPDH1 as a novel immune-related biomarker in endometrial cancer, with potential value for prognosis and immunotherapy.

BMC Genomic Data
Chinese Academy of Sciences (CN), Zhejiang Cancer Hospital (CN), Nanfang Hospital (CN), Southern Medical University (CN)
Good health and well-being
Openalex Percentile: Top 12%
Biochemical and Molecular Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.