Evidence map›Paper›PMID 40356050›Full record

ArticleJournal of cellular and molecular medicine2025

Integration of Single-Cell RNA Sequencing Data and Bulk Sequencing Data to Characterise the CD8+ T-Cell Exhaustion Mediated Immune Microenvironment in CRC.

Xiao-Hua Ling, Gang Chen, Nan-Nan Liu, Wen-Xin Xu, Ming-Feng Ding

Abstract read
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Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Xiao-Hua LingDepartment of Gastroenterology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Gang ChenDepartment of General Surgery, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Nan-Nan LiuDepartment of Gastroenterology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Wen-Xin XuDepartment of Intensive Care Unit, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Ming-Feng DingDepartment of General Surgery, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0009-0005-2417-5029

Funding

Zhuzhou Rehabilitation Quantitative Research and Development Foundation Project 20230215100642
6 · The paper itself

Abstract

CD8+ T cells are crucial for the anti-tumour immune response, and their exhaustion contributes to poor prognosis and limited immunotherapy efficacy in colorectal cancer (CRC). In this study, we examined the immune microenvironment of CRC by integrating single-cell RNA sequencing (scRNA-seq) and bulk sequencing data. T-cell subtypes in tumour tissues were analysed using CellMarker 2.0 and scType, and an intercellular communication network was constructed through CellChat. Our analysis revealed that exhausted CD8+ T cells exhibit strong interactions with epithelial cells, primarily via the MIF-(CD74 + CXCR4), MIF-(CD74 + CD44) and CD99-CD99 pathways. Based on CD8+ T-cell exhaustion markers, we developed a prognostic model using XGBoost, which demonstrated promising predictive capabilities for CRC prognosis and immunotherapy response. Functional assays showed that MIF knock-down significantly inhibited CRC cell proliferation and invasion. Our findings suggest that MIF and CD99 are key regulators of CD8+ T-cell exhaustion in CRC. This study provides novel insights into the mechanisms underlying T-cell exhaustion in CRC and offers potential biomarkers for improving immunotherapy outcomes.

Indexed as

CD8-Positive T-LymphocytesColorectal NeoplasmsSequence Analysis, RNASingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsPrognosisT-Cell ExhaustionBiomarkers, TumorIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, humanCD8+ T cellscolorectal cancerprognostic modelscRNA‐seq

Identifiers

PMID40356050
PMCPMC12069026

What OpenQuestion holds

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Registered trials

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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.