Evidence map›Paper›PMID 40729385›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Integrating spatial omics and single-cell mass spectrometry imaging reveals tumor-host metabolic interplay in hepatocellular carcinoma.

Panpan Chen, Haoyuan Geng, Bangzhen Ma, Yaqi Zhang, Zihan Zhu, Min Li, Shiping Chen, Xiao Wang, Chenglong Sun

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Panpan Chen *Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Haoyuan Geng *Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Bangzhen Ma *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China.ORCID 0009-0006-2683-6430
Yaqi ZhangKey Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Zihan ZhuKey Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Min LiKey Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Shiping ChenKey Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Xiao WangKey Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Chenglong SunKey Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.ORCID 0000-0002-4684-9603

Funding

the National Natural Science Foundation of China 82273888the National Natural Science Foundation of China 82404587the Taishan Scholar Progarm of Shandong Province tstp20221138the Taishan Scholars Program of Shandong Province tsqn202403096the Youth Excellent Talents Program of Qilu University of Technology (Shandong Academy of Sciences) 2024QZJH04
6 · The paper itself

Abstract

Metabolic crosstalk among diverse cellular populations contributes to shaping a competitive and symbiotic tumor microenvironment (TME) to influence cancer progression and immune responses, highlighting vulnerabilities that can be exploited for cancer therapy. Using a spatial multiomics platform to study the cell-specific metabolic spectrum in hepatocellular carcinoma (HCC), we map the metabolic interactions between different cells in the HCC TME and identify a unique tumor-immune-cancer-associated fibroblast (CAF) "interface" zone, where cell-cell interactions are enhanced and accompanied by significant upregulation of lactic acid and long-chain polyunsaturated fatty acids. Further combining single-cell mass spectrometry imaging of patient-derived tumor organoids, cocultured CAFs, and macrophages, we demonstrate that CAFs increase glycolysis and secrete lactic acid to the surrounding microenvironment to drive immunosuppressive macrophage M2 polarization. These findings facilitate the understanding of cancer-associated metabolic interactions in complex TME and provide clues for targeted clinical therapies.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCancer-Associated FibroblastsCell CommunicationCell Line, TumorGlycolysisHumansMacrophagesMass SpectrometryMetabolomicsSingle-Cell AnalysisTumor Microenvironmentcancer-associated fibroblastsimmunosuppressionmetabolic interplaysingle-cell mass spectrometry imagingspatial omics

Identifiers

PMID40729385
PMCPMC12337300

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.