Evidence map›Paper›PMID 36309506›Full record

ArticleNature communications2022

Proteo-genomic characterization of virus-associated liver cancers reveals potential subtypes and therapeutic targets.

Masashi Fujita, Mei-Ju May Chen, Doris Rieko Siwak, Shota Sasagawa, Ayako Oosawa-Tatsuguchi, Koji Arihiro, Atsushi Ono, Ryoichi Miura, Kazuhiro Maejima, Hiroshi Aikata and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. 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
3.5field-weighted citation impact, top 6% 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, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Viral oncogenesis in cancer: from mechanisms to therapeutics.Signal transduction and targeted therapy · 2025
    Review
  5. Article
  6. Hepatocellular carcinoma: signaling pathways and therapeutic advances.Signal transduction and targeted therapy · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. 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

20 authors at 7 institutions in 2 countries.

Masashi FujitaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID 0000-0002-1457-6233
Mei-Ju May ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Doris Rieko SiwakDepartment of Systems Biology to Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shota SasagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Ayako Oosawa-TatsuguchiLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Koji ArihiroDepartment of Anatomical Pathology, Hiroshima University Hospital, Hiroshima, Japan.
Atsushi OnoDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ryoichi MiuraDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kazuhiro MaejimaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Hiroshi AikataDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Masaki UenoSecond Department of Surgery, Wakayama Medical University, Wakayama, Japan.
Shinya HayamiSecond Department of Surgery, Wakayama Medical University, Wakayama, Japan.
Hiroki YamaueSecond Department of Surgery, Wakayama Medical University, Wakayama, Japan.
Kazuaki ChayamaDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID 0000-0002-5530-5341
Ju-Seog LeeDepartment of Systems Biology to Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-5666-9753
Yiling LuDepartment of Systems Biology to Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gordon B MillsDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-0144-9614
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-7633-286X
Satoshi S NishizukaDivision of Biomedical Research and Development, Institute of Biomedical Sciences, Iwate Medical University, Morioka, Japan.ORCID 0000-0001-9178-790X
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. hidewaki@riken.jp.ORCID 0000-0003-1807-772X
RIKEN Center for Integrative Medical Sciences · JPThe University of Texas MD Anderson Cancer Center · USHiroshima University · JPWakayama Medical University · JPHiroshima University Hospital · JPIwate Medical University · JPOregon Health & Science University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BERETTA, LAURA, KASEB, AHMED · 2019 to 2023
$11.3M
PEA15 IN DEVELOPMENT OF LIVER CANCER AND ITS THERAPEUTIC IMPLICATIONR01CA237327 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2020 to 2024
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA217674NCI NIH HHS R01 CA237327
6 · The paper itself

Abstract

Primary liver cancer is a heterogeneous disease in terms of its etiology, histology, and therapeutic response. Concurrent proteomic and genomic characterization of a large set of clinical liver cancer samples can help elucidate the molecular basis of heterogeneity and thus serve as a valuable resource for personalized liver cancer treatment. In this study, we perform proteomic profiling of ~300 proteins on 259 primary liver cancer tissues with reverse-phase protein arrays, mutational analysis using whole genome sequencing and transcriptional analysis with RNA-Seq. Patients are of Japanese ethnic background and mainly HBV or HCV positive, providing insight into this important liver cancer subtype. Unsupervised classification of tumors based on protein expression profiles reveal three proteomic subclasses R1, R2, and R3. The R1 subclass is immunologically hot and demonstrated a good prognosis. R2 contains advanced proliferative tumor with TP53 mutations, high expression of VEGF receptor 2 and the worst prognosis. R3 is enriched with CTNNB1 mutations and elevated mTOR signaling pathway activity. Twenty-two proteins, including CDK1 and CDKN2A, are identified as potential prognostic markers. The proteomic classification presented in this study can help guide therapeutic decision making for liver cancer treatment.

Indexed as

Liver NeoplasmsProteomicsGenomicsHumansMutationVascular Endothelial Growth Factor Receptor-2Vascular Endothelial Growth Factor Receptor-2

Identifiers

PMID36309506
PMCPMC9617926
OpenAlexW4307811925

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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.