Evidence map›Paper›PMID 41872462›Full record

ArticleScientific reports2026

Integrative multi-omics analysis identified FUT9 and MS4A3 as novel immune-phenotype and prognosis biomarkers for colorectal cancer and analyze the role of FUT9 in oncoimmunology.

Minjing Zhu, Haibei Dong, Yanyan Hu, Xi Xu, Zejun Fang

Abstract read
In one paragraph

Article in Scientific reports, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Minjing ZhuClinical Laboratory, Sanmen People's Hospital, Sanmen, China.
Haibei DongCancer Center, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou First People's Hospital, Xuzhou, China.
Yanyan HuClinical Laboratory, Sanmen People's Hospital, Sanmen, China.
Xi XuDepartment of Pathology, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, China. zdxuxi@zju.edu.cn.
Zejun FangCentral Laboratory, Sanmen People's Hospital, No. 15 Taihe Road, Hairun Street, Sanmen, 317100, China. fangzejun@zjsmyy.com.

Funding

Medical Science and Technology Project of Zhejiang Province 2019RC175Medical Science and Technology Project of Zhejiang Province 2024XY091National Natural Science Foundation of China 82303594Zhejiang Provincial County Level Advantageous Disciplines of Traditional Chinese Medicine Construction Plan 2023-XK-D040
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common malignant tumors worldwide. Patients with different immunophenotypes of CRC could achieve different effect of immunotherapy and yield different prognosis. With the advancement of bioinformatics, multi-omics analysis of the variations at both genomics and epigenomics levels helps a lot to provide a molecular basis for immunophenotype. Gene expression and clinical data of CRC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). We calculated Spearman correlation of CD274 (programmed cell death ligand-1, PD-L1) and IFNG (interferon gamma, IFN-γ) expressions with immune cell fraction, and screened different immune cell types with CD274 and IFNG by Lasso regression analysis. Multi-omics analysis was exploited to screen out candidate genes with differential in genetic and epigenetic landscapes between two CRC subtypes with the greatest difference in immune infiltration. Finally, a risk scoring model was established and the role of candidate genes in prognosis and oncoimmunology was evaluated at the pan-cancer level. Two CRC types (cluster A and cluster B) including five subtypes (subclusters A1, A2, B1, B2A, and B2B) were identified by unsupervised clustering analysis. Somatic mutations, CNVs, and DNA methylation differed between subcluster A2 and B2, and analysis of DEGs correlated with CRC immune phenotypes identified FUT9 and MS4A3 as key genes related to CRC immune-phenotypes and prognosis. Furthermore, FUT9 was validated to act as a key gene related to CRC immune escape in vitro. The present study established a risk model for CRC immunophenotyping and prognosis, and highlighted the significance of FUT9 and MS4A3 in oncoimmunology of CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsFucosyltransferasesDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsPhenotypePrognosis3-galactosyl-N-acetylglucosaminide 4-alpha-L-fucosyltransferaseBiomarkers, TumorFucosyltransferasesColorectal cancerFUT9ImmunophenotypingMS4A3Multi-omics analyses

Identifiers

PMID41872462
PMCPMC13153405

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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.