Cited by 24Hepatocellular Carcinoma Treatment and PrognosisCancer Genomics and DiagnosticsHepatitis B Virus Studies

Proteo-Genomic Characterization of Virus-Associated Liver Cancers Reveals Potential Subtypes and Therapeutic Targets

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Fujita, Masashi, Chen, Mei-Ju May, Siwak, Doris Rieko, Sasagawa, Shota, Oosawa-Tatsuguchi, Ayako, Arihiro, Koji, Ono, Atsushi, Miura, Ryoichi +12 more·2022·Nature Communications

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.

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  • Unsupervised clustering of the same variables identified two groups within early-stage ovarian cancer: cluster 1 with laboratory patterns resembling benign disease and cluster 2 resembling advanced cancer.

    “Applying unsupervised clustering to the same variables identified two groups within early-stage ovarian cancer: one with laboratory patterns resembling benign disease (cluster 1) and another resembling advanced cancer (cluster 2).”
  • In a 2019 study, a supervised model distinguished malignant from benign ovarian tumors with an AUROC of 0.968 using age and 32 preoperative laboratory measurements.

    “In a 2019 study from RIKEN and Jikei University, investigators analyzed 435 patients with ovarian tumors using age and 32 preoperative laboratory measurements [87]. A supervised model distinguished malignant from benign tumors with an AUROC of 0.968.”
  • Cluster 1 showed very low recurrence, whereas cluster 2 had higher recurrence and mortality, indicating a previously unrecognized subtype linked to prognosis based solely on preoperative data.

    “Cluster 1 showed very low recurrence, whereas cluster 2 had higher recurrence and mortality, indicating a previously unrecognized subtype linked to prognosis based solely on preoperative data.”

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References 41 · Cited by 24

Authors
Fujita, M., Chen, M.-J. M., Siwak, D. R., Sasagawa, S., Oosawa-Tatsuguchi, A., Arihiro, K., Ono, A., Miura, R., Maejima, K., Aikata, H., Ueno, M., Hayami, S., Yamaue, H., Chayama, K., Lee, J.-S., Lu, Y., Mills, G. B., Liang, H., Nishizuka, S. S., & Nakagawa, H.
Affiliations
  • RIKEN Center for Integrative Medical Sciences (JP)
  • The University of Texas MD Anderson Cancer Center (US)
  • Hiroshima University Hospital (JP)
  • Hiroshima University (JP)
  • Wakayama Medical University (JP)
  • Oregon Health & Science University (US)
  • Iwate Medical University (JP)
Corresponding author
Nakagawa, Hidewaki
Venue
Nature Communications
Published
2022-10-29
Volume
13
Issue
1
Pages
6481-6481
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4307811925
Cited by
24
References
41
Citations by year
2026: 2 · 2025: 8 · 2024: 8 · 2023: 6
FWCI
3.43
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Commons-TMC (Texas Medical Center) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Japan Agency for Medical Research and Development (21fk0310109h0005)
  • University of Tokyo
  • University of Texas MD Anderson Cancer Center (#CA16672)
  • Japan Society for the Promotion of Science (22K19694, 18H04049, 21H04833)
  • RIKEN
  • National Cancer Institute (R01CA237327, CA-16672, P50CA217674, CA217674, P30CA016672)
Topics
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Epidemiology › Hepatitis B Virus Studies
Keywords
hepatocellular carcinoma, proteomic subtypes, tumor heterogeneity, hepatitis B virus, hepatitis C virus, TP53 mutation, CTNNB1 mutation, mTOR signaling, VEGFR2, CDKN2A, CDK1, prognostic factors, immunogenic tumors, therapeutic target, reverse phase protein array
MeSH terms
Humans, Liver Neoplasms, Mutation, Genomics, Vascular Endothelial Growth Factor Receptor-2, Proteomics

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