Evidence map›Paper›PMID 41526921›Full record

ArticleJournal of translational medicine2026

Decoding the tumor microenvironment remodeling orchestrated by CLEC3B+ inflammatory cancer-associated fibroblasts in lung adenocarcinoma immunotherapy: elucidation from pan-cancer spatially single-cell transcriptomics landscape.

Shan Li, Kangqiang Weng, Leye Yan, Yingying Lu, Ran Zhou, Zongming Fan, Zhongxin Yang, Jian Yue, Wei Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Shan Li *The First Affiliated Hospital of Henan University, Kaifeng, Henan, 475000, China.
Kangqiang Weng *Department of Urology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Leye Yan *Department of Interventional Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Yingying LuThe First Affiliated Hospital of Henan University, Kaifeng, Henan, 475000, China.
Ran ZhouThe First Affiliated Hospital of Henan University, Kaifeng, Henan, 475000, China.
Zongming FanHenan Provincial Chest Hospital, Chest Hospital of Zhengzhou University, Zhengzhou, Henan, 450000, China.
Zhongxin YangThe First Affiliated Hospital of Henan University, Kaifeng, Henan, 475000, China.
Jian YueDepartment of Breast Surgery, Gaozhou People's Hospital, Gaozhou, Guangdong, 525200, China. tamoxifen@126.com.
Wei LiThe First Affiliated Hospital of Henan University, Kaifeng, Henan, 475000, China. jnsqs1018@sina.com.ORCID 0009-0002-1089-3845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe heterogeneity of cancer-associated fibroblasts (CAFs) would possibly influence reaction to immune checkpoint inhibitor (ICI) therapy. However, limited researches investigated inflammatory CAFs (iCAFs) in ICI therapy using pan-cancer single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics RNA sequencing (stRNA-seq) analysis.

methodsWe performed pan-cancer scRNA-seq and stRNA-seq analyses to investigate CLEC3B+ iCAFs, exploring its spatial distribution characteristics. The pan-cancer scRNA-seq and RNA-seq data are incorporated to develop the Inflammatory CAF Signature (ICS), which predicts ICI response based on iCAF marker genes and machine learning techniques. Comprehensive scRNA-seq analysis, with in vivo and in vitro experiments, investigates the mechanisms by which CLEC3B+ iCAFs influence ICI efficacy.

resultsThe ICS model performs well in predicting ICI response in pan-cancer patients. A higher proportion of total iCAFs is observed in ICI non-responders in pan-cancer landscape and lung adenocarcinoma (LUAD). Cellular communication and stRNA-seq analyses confirm that intercellular interactions and cell-to-cell distances between iCAFs and CD8+ Tex cells impact ICI efficacy. A critical functional heterogeneity within iCAFs modulated by CLEC3B is revealed, while functional experiments confirm that downregulation of CLEC3B on CAFs drives CD8+ T cells toward a dysfunctional state in LUAD. CLEC3B activates JAK2–STAT3 pathway by inhibiting SOCS3 deubiquitylation, enhancing the immunostimulatory effects of CAFs. In a subcutaneously tumor grafted mouse model, combining CLEC3B overexpression with ICI treatment achieves optimal efficacy in LUAD.

conclusionOur study provides ICS model as an outperforming approach for patient selection of ICI, and advances our understanding of CAF biology and suggests potential therapeutic strategies for upregulating CLEC3B in CAFs in cancer immunotherapy.

Indexed as

Adenocarcinoma of LungCancer-Associated FibroblastsImmunotherapyInflammationLectins, C-TypeLung NeoplasmsSingle-Cell AnalysisTranscriptomeTumor MicroenvironmentAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsMiceSpatial TranscriptomicsImmune Checkpoint InhibitorsLectins, C-TypeCancer-associated fibroblastsImmune checkpoint inhibitorsLung adenocarcinomaMachine learningMulti-omics integrationPan-cancer analysis

Identifiers

PMID41526921
PMCPMC12918745

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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.