Evidence map›Paper›PMID 40948427›Full record

ArticleCancer reports (Hoboken, N.J.)2025

Identification of Tumor Antigens and Immune Subtypes in Hepatocellular Carcinoma From a Multiomics Perspective.

Chunming Wang, Lei Cai, Qingyu Xie, Cheng Zhang, Xuefang Chen, Peng Cui, Guoqiang Wang, Shangli Cai, Yusheng Han, Kaihang Zhong and 5 more

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2025. 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. Review
  2. Article
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

15 authors.

Chunming WangGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Lei CaiGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qingyu XieGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Cheng ZhangGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xuefang ChenDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Peng CuiBurning Rock Biotech, Guangzhou, China.
Guoqiang WangBurning Rock Biotech, Guangzhou, China.
Shangli CaiBurning Rock Biotech, Guangzhou, China.
Yusheng HanBurning Rock Biotech, Guangzhou, China.
Kaihang ZhongGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Guolin HeGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Shunjun FuGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yuyan XuGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Junming HeDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Mingxin PanGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-3979-5571

Funding

2018 Entrepreneurial Leading Talent of Guangzhou Huangpu District and Guangzhou Development District 2022-L023Guangdong Basic and Applied Basic Research Foundation of China 2021B1515230011National Natural Science Foundation of China 82072627
6 · The paper itself

Abstract

backgroundImmunotherapies including immune checkpoint inhibitors and tumor antigen based vaccines have revolutionized cancer treatment. However, immune signatures of hepatocellular carcinoma (HCC) have not been thoroughly studied from a multiomics perspective.

aimsIn this study, we aimed to identify the potential tumor antigens and immune subtyping for HCC using multiomics data. METHODS AND

resultsThe study included 159 HCC patients with genome, transcriptome, proteome, and phosphoproteome data. Two potential tumor antigens, ZNF831 and SYNE1, showed significant superior prognostic effects and positive correlations with antigen presenting cells, which provided promising candidates for the development of tumor antigen-based mRNA vaccine. A multiomics clustering using the most variable tumor antigen genes of transcriptome, proteome, and phosphoproteome was performed, resulting in two HCC subtypes with distinct clinical and molecular features. In order to further explore the complex tumor microenvironment, we implemented an immune subtyping using 30 most important immune-related features generated from the random forest algorithm. Four immune subtypes were constructed, which exhibited diverse molecular attributes including immune cell activities, angiogenesis, cell proliferation, and the expression of tumor antigen genes, immune checkpoints, and immunogenic cell death modulators.

conclusionIn summary, we found two potential tumor antigens, ZNF831 and SYNE1, and identified four immune subtypes of HCC with distinct molecular features. Our study provides novel insights into the development of cancer vaccine and precision medicine of immune oncology in HCC, which may benefit clinical practice in the future.

Indexed as

Antigens, NeoplasmBiomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMultiomicsNerve Tissue ProteinsNuclear ProteinsPrognosisProteomicsTranscriptomeAntigens, NeoplasmBiomarkers, TumorNerve Tissue ProteinsNuclear Proteinshepatocellular cancerimmune subtypemultiomicstumor antigens

Identifiers

PMID40948427
PMCPMC12434600

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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.