Evidence map›Paper›PMID 40545483›Full record

ArticleFunctional & integrative genomics2025

Integrated multi-omics analysis of UL16-binding protein 2 as a prognostic and immunotherapy biomarker for colorectal cancer.

Xin-Yang Qu, Yong Xu, Rui-Min Wu, Gao-Chun Xiao, Ping-Feng Wang, Jin Xie, Xu-Sheng Liu

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Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xin-Yang QuSchool of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yong XuDepartment of Neurological Rehabilitation Area 3, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Rui-Min WuDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Gao-Chun XiaoDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Ping-Feng WangSchool of Biomedical Engineering, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Jin XieDepartment of Rehabilitation Medicine Center, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. 153162220@qq.com.
Xu-Sheng LiuDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. lxsking@hbmu.edu.cn.ORCID http://orcid.org/0000-0002-3663-1096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUL16-binding protein 2 (ULBP2) is an important immune regulatory molecule involved in natural killer cell activation and tumor immune surveillance, although the specific role and clinical significance in colorectal cancer (CRC) require further exploration.

methodsULBP2 expression in CRC vs. normal tissues was analyzed using The Cancer Genome Atlas and the Gene Expression Omnibus databases, along with potential associations with clinicopathological features, while the diagnostic value was assessed with receiver operating characteristic (ROC) curves and the prognostic impact by Kaplan-Meier and Cox regression analyses. Additionally, the regulatory mechanisms of ULBP2 were explored by investigations of promoter DNA methylation, m6A regulation, and immune cell infiltration. Finally, cellular experiments were conducted to evaluate ULBP2 as a potential biomarker to predict CRC progression.

resultsULBP2 upregulation was significantly correlated with an advanced pathological stage of CRC. ROC curve analysis indicated that ULBP2 has strong diagnostic value. Kaplan-Meier survival analysis showed that high ULBP2 expression was predictive of a poorer prognosis. Cox regression analysis highlighted ULBP2 as an independent prognostic factor. ULBP2 expression was linked to promoter methylation, m6A regulation, and immune cell infiltration. Cellular experiments showed that ULBP2 knockdown suppressed CRC progression.

conclusionULBP2 has potential as a prognostic biomarker and therapeutic target of CRC. These findings provide valuable insights for future studies of tumorigenic mechanisms and clinical applications.

Indexed as

Biomarkers, TumorColorectal NeoplasmsCell Line, TumorDNA MethylationFemaleGene Expression Regulation, NeoplasticGPI-Linked ProteinsHumansImmunotherapyIntercellular Signaling Peptides and ProteinsMaleMiddle AgedMultiomicsPrognosisPromoter Regions, GeneticBiomarkers, TumorGPI-Linked ProteinsIntercellular Signaling Peptides and ProteinsULBP2 protein, humanColorectal cancerImmune cell infiltrationm6APrognostic markerUL16-binding protein 2

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.