Evidence map›Paper›PMID 38361757›Full record

ArticleOncology research2024

Glycogen metabolism-mediated intercellular communication in the tumor microenvironment influences liver cancer prognosis.

Yang Zhang, Nannan Qin, Xijun Wang, Rui Liang, Quan Liu, Ruoyi Geng, Tianxiao Jiang, Yunfei Liu, Jinwei Li

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. [Research progress on poor response, resistance mechanisms, and influencing factors of immunotherapy for hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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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 at 6 institutions in 2 countries.

Yang ZhangGraduate School, Kunming Medical University, Kunming, 650000, China.
Nannan QinDepartment of Gynecology Oncology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, 545000, China.
Xijun WangSchool of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, China.
Rui LiangCollege of Bioengineering, Chongqing University, Chongqing, 400030, China.
Quan LiuDepartment of Neurosurgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, 545000, China.
Ruoyi GengDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, 81377, Germany.
Tianxiao JiangDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, 81377, Germany.
Yunfei LiuDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, 81377, Germany.
Jinwei LiDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610000, China.
Ludwig-Maximilians-Universität München · DEFourth Affiliated Hospital of Guangxi Medical University · CNChongqing University · CNHubei University of Science and Technology · CNKunming Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycogen metabolism plays a key role in the development of hepatocellular carcinoma (HCC), but the function of glycogen metabolism genes in the tumor microenvironment (TME) is still to be elucidated. Single-cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells, and 65 glycogen metabolism genes were analyzed by a nonnegative matrix factorization (NMF). The prognosis and immune response of new glycogen TME cell clusters were predicted by using HCC and immunotherapy cohorts from public databases. HCC single-cell analysis was divided into fibroblasts, NT T cells, macrophages, endothelial cells, and B cells, which were separately divided into new cell clusters by glycogen metabolism gene annotation. Pseudo-temporal trajectory analysis demonstrated the temporal differentiation trajectory of different glycogen subtype cell clusters. Cellular communication analysis revealed extensive interactions between endothelial cells with glycogen metabolizing TME cell-related subtypes and different glycogen subtype cell clusters. SCENIC analysis of transcription factors upstream of TME cell clusters with different glycogen metabolism. In addition, TME cell clusters of glycogen metabolism were found to be enriched in expression in CAF subtypes, CD8 depleted, M1, and M2 types. Bulk-seq analysis showed the prognostic significance of glycogen metabolism-mediated TME cell clusters in HCC, while a significant immune response was found in the immunotherapy cohort in patients treated with immune checkpoint blockade (ICB), especially for CAFs, T cells, and macrophages. In summary, our study reveals for the first time that glycogen metabolism mediates intercellular communication in the hepatocellular carcinoma microenvironment while elucidating the anti-tumor mechanisms and immune prognostic responses of different subtypes of cell clusters.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCell CommunicationEndothelial CellsGlycogenHumansPrognosisTumor MicroenvironmentGlycogenGlycogen metabolismImmunotherapyLiver cancerMetabolic mapPrognosisSingle-cellTumor microenvironment

Identifiers

PMID38361757
PMCPMC10865732
OpenAlexW4391545818

What OpenQuestion holds

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LicenceCC BY
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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.