Evidence map›Paper›PMID 41918783›Full record

ArticleFrontiers in molecular biosciences2026

A prognostic nomogram for colorectal cancer based on ubiquitin-specific protease 21 expression: a retrospective cohort study.

Hua Chen, Tianhao Lao, Tong Shen, Yongqiang Wang, Jie Yang

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hua Chen *Department of General Surgery, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Tianhao Lao *Department of General Surgery, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Tong Shen *Department of General Surgery, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Yongqiang WangDepartment of General Surgery, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Jie YangDepartment of General Surgery, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, and substantial prognostic heterogeneity exists among patients with similar TNM stages. Ubiquitin-specific protease 21 (USP21) has been implicated in tumor progression across multiple malignancies; however, its prognostic value in CRC has not been fully elucidated. This study aimed to evaluate USP21 protein expression in CRC tissues and develop a USP21-based nomogram for individualized prediction of postoperative overall survival (OS). Methods: A total of 115 CRC patients who underwent radical resection at the Affiliated Kunshan Hospital of Jiangsu University between 2018 and 2019 were retrospectively included. USP21 protein expression in tumor and adjacent normal tissues was assessed by immunohistochemistry. Prognostic factors were screened using univariate Cox regression followed by least absolute shrinkage and selection operator (LASSO) Cox regression to construct a multivariable nomogram. Model performance was evaluated using the concordance index (C-index), time-dependent ROC curves, calibration plots, and decision curve analysis (DCA). Patients were stratified into tertile-based risk groups for Kaplan-Meier survival validation. Results: USP21 expression was significantly higher in CRC tissues compared with adjacent normal tissues ( Conclusion: The USP21-based nomogram integrating key clinicopathological variables provides accurate individualized survival prediction and serves as a promising adjunctive tool for refining postoperative prognostic assessment and guiding clinical decision-making.

Indexed as

colorectal cancernomogramoverall survivalprognosisUSP21

Identifiers

PMID41918783
PMCPMC13033500

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