Evidence map›Paper›PMID 41006647›Full record

ArticleScientific reports2025

Exploration of effective biomarkers and infiltrating immune cells in metastatic colorectal cancer based on bioinformatics analysis.

Junming Huang, Yunhan Guo, Xiaoying Lv, Yaohang Long, Xianyi Wang, Dawei Jin, Hongmei Liu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Junming Huang *School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 561113, China.
Yunhan Guo *School of Clinical Medicine, Guizhou Medical University, Guiyang, 561113, China.
Xiaoying LvEngineering Research Center of Health Medicine Biotechnology of Institution of Higher Education of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, 561113, China.
Yaohang LongEngineering Research Center of Health Medicine Biotechnology of Institution of Higher Education of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, 561113, China.
Xianyi WangEngineering Research Center of Health Medicine Biotechnology of Institution of Higher Education of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, 561113, China.
Dawei JinResearch Institute of Guizhou Huada Life Big Data Guiyang, Guizhou, 550025, China. jindawei@bgi.com.
Hongmei LiuSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 561113, China. gzuhmliu@126.com.

Funding

Guizhou Provincial Education Department Engineering Research center Program (Qian Jiao Ji No [2023] 036)National College Students Innovation and Entrepreneurship Training Program (S2024106601343)Science and Technology Program of Guizhou Province (Qian Ke He Foundation-ZK (2022) General 364), Guizhou Provincial Education Department Scientific Research Program [Qian Jiao He KY Zi (2018)088], [Qian Jiao He KY Zi (2020) 021]The National Natural Science Foundation Cultivation project of Guizhou Medical University (20NSP055)The project of State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University (FAMP2021Z1-1)The Science and Technology Foundation of the Health Commission of Guizhou Province (gzwkj2023-565)The Senior and Junior Technological Innovation Team (20210509055RQ)
6 · The paper itself

Abstract

Colorectal cancer (CRC) ranks as the third most prevalent malignancy globally and represents the second leading cause of cancer-related mortality worldwide. Metastatic colorectal cancer (mCRC) is clinically classified as an advanced-stage malignancy, characterized by therapeutic resistance and substantially diminished survival outcomes. The 5-year survival rate for mCRC is significantly lower than that for early-stage CRC. A multi-dimensional computational framework was implemented to dissect CRC transcriptomics. Gene expression profiles were systematically acquired from TCGA and GEO repositories. A series of data were then analyzed using ssGSEA algorithm, xCell algorithm, edgeR, limma, DAVID enrichment analysis, CytoHubba, ROC logistic regression and correlation analysis. Immune cell infiltration analysis revealed 7 tumor-infiltrating immune cell subtypes exhibiting significant abundance disparities between metastatic and non-metastatic colorectal cancer cohorts. Further integrative analysis identified 28 immune-related metastatic colorectal cancer differentially expressed genes (ICDEGs) in metastatic lesions. Through comprehensive analysis, 9 pivotal hub genes (AGTR1, CD86, CMKLR1, FGF1, FYN, IL10RA, INHBA, TNFSF13B, and VEGFC) were successfully identified. Notably, AGTR1, CD86, CMKLR1 and TNFSF13B genes have been rarely reported in mCRC. Furthermore, our correlation studies revealed significant inverse relationships between epithelial cells and three specific genes: TNFSF13B, CD86, and IL10RA. The identified 9 hub genes demonstrate significant potential as reliable diagnostic biomarkers for mCRC. Moreover, these molecular markers may contribute to disease pathogenesis through their dynamic interactions with tumor-infiltrating immune cells, suggesting a crucial role in the tumor microenvironment.

Indexed as

Biomarkers, TumorColorectal NeoplasmsComputational BiologyLymphocytes, Tumor-InfiltratingGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisTranscriptomeTumor MicroenvironmentBiomarkers, TumorBioinformatics analysisDifferentially expressed genesInfiltrating immune cellsMetastatic colorectal cancerTumor microenvironment

Identifiers

PMID41006647
PMCPMC12474896

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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.