Evidence map›Paper›PMID 41921137›Full record

ArticleHepatology communications2026

Spatial and functional polarization of cancer-associated fibroblasts with CXCR4-mediated immune modulation in hepatocellular carcinoma.

Daichi Nakamura, Takahiro Nishio, Yo Oguma, Kojiro Taura, Yukinori Koyama, Mengyang Zhan, Yoshihiko Kurata, Keisuke Okura, Tomoaki Yoh, Hiroto Nishino and 8 more

Abstract read
In one paragraph

Article in Hepatology communications, 2026. 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. Review
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

18 authors.

Daichi NakamuraDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takahiro NishioDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-9676-7235
Yo OgumaCyberomiX Inc., Kyoto, Japan.
Kojiro TauraDepartment of Digestive Surgery, Kitano Hospital, Kyoto, Japan.
Yukinori KoyamaDepartment of Digestive Surgery, Fukui Red Cross Hospital, Fukui, Japan.
Mengyang ZhanDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshihiko KurataDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Keisuke OkuraDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomoaki YohDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroto NishinoDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masayuki OkunoDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kaori TeranakaCyberomiX Inc., Kyoto, Japan.
Hanako OgawaCyberomiX Inc., Kyoto, Japan.
Masakazu FujimotoDepartment of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hironori HagaDepartment of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Keiko IwaisakoDepartment of Medical Life Systems, Faculty of Life and Medical Science, Doshisha University, Kyotanabe, Japan.
Akira WatanabeCyberomiX Inc., Kyoto, Japan.
Etsuro HatanoDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) represent a predominant cell population in the tumor microenvironment (TME) of hepatocellular carcinoma (HCC). How the spatial distribution of CAF subtypes relates to immune modulation within the TME remains incompletely understood. This study aimed to characterize the spatial organization of CAF subtypes in HCC and to explore their potential associations with immune contexture.

methodsSpatial transcriptomic analysis was performed on 6 HCC cases to identify CAF-enriched clusters and their spatial localization. Immunohistochemical analyses were conducted on 132 HCC sections to examine the relationship between CAF-related features, immune cell distribution, and clinical outcomes.

resultsSpatial transcriptomic analysis identified distinct CAF sub-clusters, including myofibroblastic CAFs (myCAFs), which were predominantly localized within tumor regions and enriched for extracellular matrix-related gene expression; inflammatory CAFs (iCAFs), which were preferentially localized within tumor septa and associated with inflammatory signaling; and antigen-presenting CAFs (apCAFs), which were enriched in the peritumoral zone and exhibited gene expression patterns suggestive of immune-related functions. Interactome analysis suggested that apCAFs in the peritumoral region showed transcriptional patterns consistent with CXCL12-CXCR4-related interactions with CD8+ T cells accumulating at the tumor periphery. The enrichment of apCAFs on the outer side of tumor septa was associated with reduced intra-tumoral CD8+ T-cell infiltration and poorer prognosis, suggesting a link between apCAF distribution and an immune-excluded TME.

conclusionsSpatial transcriptomic profiling suggests that CAFs exhibit functional and spatial polarization in the TME of HCC. ApCAFs are associated with CXCR4-related immune exclusion at the tumor-stroma interface and may represent a stromal component relevant to immune modulation. These findings provide a framework for CAF-immune interactions and serve as a basis for future functional studies targeting the CXCL12-CXCR4 axis.

Indexed as

Cancer-Associated FibroblastsCarcinoma, HepatocellularLiver NeoplasmsReceptors, CXCR4FemaleHumansMaleSpatial TranscriptomicsTumor MicroenvironmentCXCR4 protein, humanReceptors, CXCR4cancer-associated fibroblastshepatocellular carcinomaspatial transcriptomicstumor-infiltrating lymphocytetumor microenvironment

Identifiers

PMID41921137
PMCPMC13038254

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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.