TY - JOUR
T1 - Proteo-genomic characterization of virus-associated liver cancers reveals potential subtypes and therapeutic targets
AU - Fujita, Masashi
AU - Chen, Mei Ju May
AU - Siwak, Doris Rieko
AU - Sasagawa, Shota
AU - Oosawa-Tatsuguchi, Ayako
AU - Arihiro, Koji
AU - Ono, Atsushi
AU - Miura, Ryoichi
AU - Maejima, Kazuhiro
AU - Aikata, Hiroshi
AU - Ueno, Masaki
AU - Hayami, Shinya
AU - Yamaue, Hiroki
AU - Chayama, Kazuaki
AU - Lee, Ju Seog
AU - Lu, Yiling
AU - Mills, Gordon B.
AU - Liang, Han
AU - Nishizuka, Satoshi S.
AU - Nakagawa, Hidewaki
N1 - Funding Information:
We would like to thank technical staff in RIKEN IMS and the RPPA Core facility at MDACC for their technical assistances. The super-computing resource ‘SHIROKANE’ was provided by the Human Genome Center, The University of Tokyo (http://supcom.hgc.jp/) and we acknowledge Ms. Hiroko Tanaka and other staff of SHIROKANE for their efforts on data management. This work was partly supported by JSPS KAKENHI Grant Number JP18H04049 awarded to H.N., and the Research Program on Hepatitis from the Japan Agency for Medical Research and Development (AMED) (21fk0310109h0005 and 21fk0210065h000221) to K.C., and National Cancer Institute grant R01-CA237327 and P50-CA217674 to J.S.L. The RPPA Core facility of MD Anderson Cancer Center was supported by the Core grant CA16672 from the National Cancer Institute.
Funding Information:
We would like to thank technical staff in RIKEN IMS and the RPPA Core facility at MDACC for their technical assistances. The super-computing resource ‘SHIROKANE’ was provided by the Human Genome Center, The University of Tokyo ( http://supcom.hgc.jp/ ) and we acknowledge Ms. Hiroko Tanaka and other staff of SHIROKANE for their efforts on data management. This work was partly supported by JSPS KAKENHI Grant Number JP18H04049 awarded to H.N., and the Research Program on Hepatitis from the Japan Agency for Medical Research and Development (AMED) (21fk0310109h0005 and 21fk0210065h000221) to K.C., and National Cancer Institute grant R01-CA237327 and P50-CA217674 to J.S.L. The RPPA Core facility of MD Anderson Cancer Center was supported by the Core grant CA16672 from the National Cancer Institute.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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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U2 - 10.1038/s41467-022-34249-x
DO - 10.1038/s41467-022-34249-x
M3 - Article
C2 - 36309506
AN - SCOPUS:85140926766
SN - 2041-1723
VL - 13
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 6481
ER -