Evidence map›Paper›PMID 35567547›Full record

ArticleHepatology (Baltimore, Md.)2023

Multiomics identifies the link between intratumor steatosis and the exhausted tumor immune microenvironment in hepatocellular carcinoma.

Hiroki Murai, Takahiro Kodama, Kazuki Maesaka, Shoichiro Tange, Daisuke Motooka, Yutaka Suzuki, Yasuyuki Shigematsu, Kentaro Inamura, Yoshihiro Mise, Akio Saiura and 20 more

Open access · hybridAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
23.7field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it, 166 citations in OpenAlex.

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  18. Journal for immunotherapy of cancer · 2025
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51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 12 institutions in 1 country.

Hiroki MuraiDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.
Takahiro KodamaDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.ORCID 0000-0002-6250-1324
Kazuki MaesakaDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.
Shoichiro TangeDepartment of Medical Genome Sciences , Research Institute for Frontier Medicine , Sapporo Medical University School of Medicine , Sapporo , Japan.
Daisuke MotookaGenome Information Research Center , Research Institute for Microbial Diseases , Osaka University , Suita , Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences , Graduate School of Frontier Sciences , The University of Tokyo , Chiba , Japan.
Yasuyuki ShigematsuDivision of Pathology, Cancer Institute , Department of Pathology , Cancer Institute Hospital , Japanese Foundation for Cancer Research , Tokyo , Japan.
Kentaro InamuraDivision of Pathology, Cancer Institute , Department of Pathology , Cancer Institute Hospital , Japanese Foundation for Cancer Research , Tokyo , Japan.ORCID 0000-0001-6444-3861
Yoshihiro MiseDepartment of Hepatobiliary-Pancreatic Surgery , Juntendo University School of Medicine , Tokyo , Japan.
Akio SaiuraDepartment of Hepatobiliary-Pancreatic Surgery , Juntendo University School of Medicine , Tokyo , Japan.
Yoshihiro OnoDivision of Hepatobiliary and Pancreatic Surgery , Cancer Institute Hospital , Japanese Foundation for Cancer Research , Tokyo , Japan.
Yu TakahashiDivision of Hepatobiliary and Pancreatic Surgery , Cancer Institute Hospital , Japanese Foundation for Cancer Research , Tokyo , Japan.
Yota KawasakiDepartment of Digestive Surgery , Breast, and Thyroid Surgery , Graduate School of Medical Sciences , Kagoshima University , Kagoshima , Japan.
Satoshi IinoDepartment of Digestive Surgery , Kagoshima Principal Hospital , Kagoshima , Japan.
Shogo KobayashiDepartment of Gastroenterological Surgery , Osaka University Graduate School of Medicine , Suita , Japan.
Masashi IdogawaDepartment of Medical Genome Sciences , Research Institute for Frontier Medicine , Sapporo Medical University School of Medicine , Sapporo , Japan.
Takashi TokinoDepartment of Medical Genome Sciences , Research Institute for Frontier Medicine , Sapporo Medical University School of Medicine , Sapporo , Japan.
Tomomi Hashidate-YoshidaDepartment of Lipid Signaling , National Center for Global Health and Medicine , Tokyo , Japan.
Hideo ShindouDepartment of Lipid Signaling , National Center for Global Health and Medicine , Tokyo , Japan.
Masanori MiyazakiDepartment of Gastroenterology and Hepatology , Osaka Police Hospital , Osaka , Japan.
Yasuharu ImaiDepartment of Gastroenterology and Hepatology , Ikeda Municipal Hospital , Osaka , Japan.
Satoshi TanakaDepartment of Gastroenterology and Hepatology , National Hospital Organization Osaka National Hospital , Osaka , Japan.
Eiji MitaDepartment of Gastroenterology and Hepatology , National Hospital Organization Osaka National Hospital , Osaka , Japan.
Kazuyoshi OhkawaDepartment of Hepatobiliary and Pancreatic Oncology , Osaka International Cancer Institute , Osaka , Japan.
Hayato HikitaDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.
Ryotaro SakamoriDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.ORCID 0000-0002-1580-607
Tomohide TatsumiDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery , Osaka University Graduate School of Medicine , Suita , Japan.
Eiichi MoriiDepartment of Pathology , Osaka University Graduate School of Medicine , Osaka , Japan.
Tetsuo TakeharaDepartment of Gastroenterology and Hepatology , Osaka University Graduate School of Medicine , Suita , Japan.
The University of Osaka · JPJapanese Foundation For Cancer Research · JPSapporo Medical University · JPJuntendo University · JPNational Center for Global Health and Medicine · JPOsaka National Hospital · JPIkeda Municipal Hospital · JPKagoshima City Hospital · JPKagoshima University · JPOsaka International Cancer Institute · JPOsaka Police Hospital · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsImmunotherapy has become the standard-of-care treatment for hepatocellular carcinoma (HCC), but its efficacy remains limited. To identify immunotherapy-susceptible HCC, we profiled the molecular abnormalities and tumor immune microenvironment (TIME) of rapidly increasing nonviral HCC. APPROACHES AND

resultsWe performed RNA-seq of tumor tissues in 113 patients with nonviral HCC and cancer genome sequencing of 69 genes with recurrent genetic alterations reported in HCC. Unsupervised hierarchical clustering classified nonviral HCCs into three molecular classes (Class I, II, III), which stratified patient prognosis. Class I, with the poorest prognosis, was associated with TP53 mutations, whereas class III, with the best prognosis, was associated with cadherin-associated protein beta 1 (CTNNB1) mutations. Thirty-eight percent of nonviral HCC was defined as an immune class characterized by a high frequency of intratumoral steatosis and a low frequency of CTNNB1 mutations. Steatotic HCC, which accounts for 23% of nonviral HCC cases, presented an immune-enriched but immune-exhausted TIME characterized by T cell exhaustion, M2 macrophage and cancer-associated fibroblast (CAF) infiltration, high PD-L1 expression, and TGF-β signaling activation. Spatial transcriptome analysis suggested that M2 macrophages and CAFs may be in close proximity to exhausted CD8+ T cells in steatotic HCC. An in vitro study showed that palmitic acid-induced lipid accumulation in HCC cells upregulated PD-L1 expression and promoted immunosuppressive phenotypes of cocultured macrophages and fibroblasts. Patients with steatotic HCC, confirmed by chemical-shift MR imaging, had significantly longer PFS with combined immunotherapy using anti-PD-L1 and anti-VEGF antibodies.

conclusionsMultiomics stratified nonviral HCCs according to prognosis or TIME. We identified the link between intratumoral steatosis and immune-exhausted immunotherapy-susceptible TIME.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCD8-Positive T-LymphocytesHumansMultiomicsPrognosisTumor Microenvironment

Identifiers

PMID35567547
PMCPMC9970024
OpenAlexW4280518410

What OpenQuestion holds

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LicenceCC BY-NC
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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.