Genomic portrait of resectable hepatocellular carcinomas: Implications of RB1 and FGF19 aberrations for patient stratification
Open accessAbstract
UNLABELLED: Hepatic resection is the most curative treatment option for early-stage hepatocellular carcinoma, but is associated with a high recurrence rate, which exceeds 50% at 5 years after surgery. Understanding the genetic basis of hepatocellular carcinoma at surgically curable stages may enable the identification of new molecular biomarkers that accurately identify patients in need of additional early therapeutic interventions. Whole exome sequencing and copy number analysis was performed on 231 hepatocellular carcinomas (72% with hepatitis B viral infection) that were classified as early-stage hepatocellular carcinomas, candidates for surgical resection. Recurrent mutations were validated by Sanger sequencing. Unsupervised genomic analyses identified an association between specific genetic aberrations and postoperative clinical outcomes. Recurrent somatic mutations were identified in nine genes, including TP53, CTNNB1, AXIN1, RPS6KA3, and RB1. Recurrent homozygous deletions in FAM123A, RB1, and CDKN2A, and high-copy amplifications in MYC, RSPO2, CCND1, and FGF19 were detected. Pathway analyses of these genes revealed aberrations in the p53, Wnt, PIK3/Ras, cell cycle, and chromatin remodeling pathways. RB1 mutations were significantly associated with cancer-specific and recurrence-free survival after resection (multivariate P = 0.038 and P = 0.012, respectively). FGF19 amplifications, known to activate Wnt signaling, were mutually exclusive with CTNNB1 and AXIN1 mutations, and significantly associated with cirrhosis (P = 0.017). CONCLUSION: RB1 mutations can be used as a prognostic molecular biomarker for resectable hepatocellular carcinoma. Further study is required to investigate the potential role of FGF19 amplification in driving hepatocarcinogenesis in patients with liver cirrhosis and to investigate the potential of anti-FGF19 treatment in these patients.
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In patients with HCC, high PROX1 expression is associated with increased survival.
“in patients with HCC, high PROX1 expression or chromosomal amplifications including PROX1 were both associated with increased survival25–32”
From Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis (2025) · cites this paper as [25]
The Clinical Features section discusses amplifications involving FGF19 and other genes, while the survival analysis in Genetic Aberrations in HCC concerns RB1 mutations. Searches for PROX1 expression and PROX1-containing amplifications found no passage linking PROX1 to survival. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn patients with HCC, chromosomal amplifications including PROX1 are associated with increased survival.
“in patients with HCC, high PROX1 expression or chromosomal amplifications including PROX1 were both associated with increased survival25–32”
From Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis (2025) · cites this paper as [25]
The Clinical Features section lists recurrent chromosomal amplifications in HCC, but does not identify PROX1 among them. The postsurgical-outcomes section links RB1 mutations—not PROX1 amplification—to survival. A search for PROX1 found no passage supporting the claimed association with increased survival; page numbers were unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredTBX3 expression is negatively correlated with TP53 mutations in human HCCs.
“TBX3 expression was found to be negatively correlated with TP53 mutations (Fig. 1B and Fig. S1A, C).”
From TBX3 functions as a tumor suppressor downstream of activated CTNNB1 mutants during hepatocarcinogenesis (2021) · cites this paper as [15]
The Clinical Features section reports TP53 mutation rates and associations with tumor grade and other genetic alterations, but not with TBX3 expression. Searches for “TBX3 expression TP53 mutations” and “TBX3” found no passage addressing the claimed negative correlation; page numbers were not available in our copy. (LLM, conf=0.76)
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Cites
The Rb/E2F pathway: expanding roles and emerging paradigms
Harbour, J. W., & Dean, D. C. (2000) · Genes & Development · doi:10.1101/gad.813200 · Cited by 1,153 · see citing works
Flagged first, then by citations
Research works printed but not linked: 26
- Cleary SP, Jeck WR, Zhao X, Chen K, Selitsky SR, Savich GL, et al. Identification of driver genes in hepatocellular carcinoma by exome sequencing. HEPATOLOGY 2013;58:1693-1702.
- Fujimoto A, Totoki Y, Abe T, Boroevich KA, Hosoda F, Nguyen HH, et al. Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators. Nat Genet 2012;44:760-764.
- Guichard C, Amaddeo G, Imbeaud S, Ladeiro Y, Pelletier L, Maad IB, et al. Integrated analysis of somatic mutations and focal copy-number changes identifies key genes and pathways in hepatocellular carcinoma. Nat Genet 2012;44:694-698.
- Jiang Z, Jhunjhunwala S, Liu J, Haverty PM, Kennemer MI, Guan Y, et al. The effects of hepatitis B virus integration into the genomes of hepatocellular carcinoma patients. Genome Res 2012;22:593-601.
- Kan Z, Zheng H, Liu X, Li S, Barber T, Gong Z, et al. Whole genome sequencing identifies recurrent mutations in hepatocellular carcinoma. Genome Res 2013;23:1422-1433.
- Li M, Zhao H, Zhang X, Wood LD, Anders RA, Choti MA, et al. Inactivating mutations of the chromatin remodeling gene ARID2 in hepatocellular carcinoma. Nat Genet 2011;43:828-829.
- El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology 2007;132:2557-2576.
- El-Serag HB. Hepatocellular carcinoma. N Engl J Med 2011;365: 1118-1127.
- Nguyen VT, Law MG, Dore GJ. Hepatitis B-related hepatocellular car- cinoma: epidemiological characteristics and disease burden. J Viral Hepat 2009;16:453-463.
- Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma. Lancet 2012; 379:1245-1255.
- Llovet JM, Burroughs A, Bruix J. Hepatocellular carcinoma. Lancet 2003;362:1907-1917.
- Larson NB, Fridley BL. PurBayes: estimating tumor cellularity and sub- clonality in next-generation sequencing data. Bioinformatics 2013;29: 1888-1889.
- Intraobserver and interobserver variations in liver biopsy interpretation in patients with chronic hepatitis C. The French METAVIR Coopera- tive Study Group. HEPATOLOGY 1994;20:15-20.
- Bedossa P, Poynard T. An algorithm for the grading of activity in chronic hepatitis C. HEPATOLOGY 1996;24:289-293.
- Koboldt DC, Zhang Q, Larson DE, Shen D, McLellan MD, Lin L, et al. VarScan 2: somatic mutation and copy number alteration dis- covery in cancer by exome sequencing. Genome Res 2012;22:568- 576.
- McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The Genome Analysis Toolkit: a MapReduce frame- work for analyzing next-generation DNA sequencing data. Genome Res 2010;20:1297-1303.
- Gorgoulis VG, Zacharatos P, Kotsinas A, Mariatos G, Liloglou T, Vogiatzi T, et al. Altered expression of the cell cycle regulatory mole- cules pRb, p53 and MDM2 exert a synergetic effect on tumor growth and chromosomal instability in non-small cell lung carcinomas (NSCLCs). Mol Med 2000;6:208-237.
- Sawey Eric T, Chanrion M, Cai C, Wu G, Zhang J, Zender L, et al. Identification of a therapeutic strategy targeting amplified FGF19 in liver cancer by oncogenomic screening. Cancer Cell 2011;19:347-358.
- Hsu IC, Metcalf RA, Sun T, Welsh JA, Wang NJ, Harris CC. Muta- tional hotspot in the p53 gene in human hepatocellular carcinomas. Nature 1991;350:427-428.
- Kim K-A, Wagle M, Tran K, Zhan X, Dixon MA, Liu S, et al. R- Spondin family members regulate the Wnt pathway by a common mechanism. Mol Biol Cell 2008;19:2588-2596.
- Portolani N, Coniglio A, Ghidoni S, Giovanelli M, Benetti A, Tiberio GA, et al. Early and late recurrence after liver resection for hepatocellu- lar carcinoma: prognostic and therapeutic implications. Ann Surg 2006;243:229-235.
- Sasaki Y, Yamada T, Tanaka H, Ohigashi H, Eguchi H, Yano M, et al. Risk of recurrence in a long-term follow-up after surgery in 417 patients with hepatitis B-or hepatitis C-related hepatocellular carci- noma. Ann Surg 2006;244:771-780.
- Woo HG, Wang XW, Budhu A, Kim YH, Kwon SM, Tang ZY, et al. Association of TP53 mutations with stem cell-like gene expression and survival of patients with hepatocellular carcinoma. Gastroenterology 2011;140:1063-1070.
- Hussain SP, Schwank J, Staib F, Wang XW, Harris CC. TP53 muta- tions and hepatocellular carcinoma: insights into the etiology and pathogenesis of liver cancer. Oncogene 2007;26:2166-2176.
- Kew MC. Synergistic interaction between aflatoxin B1 and hepatitis B virus in hepatocarcinogenesis. Liver Int 2003;23:405-409.
- Zucman-Rossi J, Benhamouche S, Godard C, Boyault S, Grimber G, Balabaud C, et al. Differential effects of inactivated Axin1 and activated beta-catenin mutations in human hepatocellular carcinomas. Oncogene 2007;26:774-780.
Cited by
Sorted by citations
Llovet, J. M., Zucman-Rossi, J., Pikarsky, E., Sangro, B., Schwartz, M., Sherman, M., & Gores, G. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.18 · Cited by 2,531 · see citing works
Self-citationComprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma
Ally, A., Balasundaram, M., Carlsen, R., Chuah, E., Clarke, A., Dhalla, N., Holt, R. A., Jones, S. J. M., Lee, D., Ma, Y., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.046 · Cited by 2,490 · see citing works
Self-citationGenetic landscape and biomarkers of hepatocellular carcinoma
Zucman-Rossi, J., Villanueva, A., Nault, J.-C., & Llovet, J. M. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.05.061 · Cited by 1,325 · see citing works
Self-citationHarding, J. J., Nandakumar, S., Armenia, J., Khalil, D. N., Albano, M., Ly, M., Shia, J., Hechtman, J. F., Kundra, R., El Dika, I., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-2293 · Cited by 602 · see citing works
Molecular pathogenesis and systemic therapies for hepatocellular carcinoma
Llovet, J. M., Pinyol, R., Kelley, R. K., El-Khoueiry, A., Reeves, H. L., Wang, X. W., Gores, G. J., & Villanueva, A. (2022) · Nature Cancer · doi:10.1038/s43018-022-00357-2 · Cited by 498 · see citing works
Harnessing big ‘omics’ data and AI for drug discovery in hepatocellular carcinoma
Chen, B., Garmire, L., Calvisi, D. F., Chua, M.-S., Kelley, R. K., & Chen, X. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0240-9 · Cited by 154 · see citing works
Epigenetics in hepatocellular carcinoma development and therapy: The tip of the iceberg
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Non-cell-autonomous activation of IL-6/STAT3 signaling mediates FGF19-driven hepatocarcinogenesis
Zhou, M., Yang, H., Learned, R. M., Tian, H., & Ling, L. (2017) · Nature Communications · doi:10.1038/ncomms15433 · Cited by 123 · see citing works
Mouse species-specific control of hepatocarcinogenesis and metabolism by FGF19/FGF15
Zhou, M., Luo, J., Chen, M., Yang, H., Learned, R. M., DePaoli, A. M., Tian, H., & Ling, L. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.01.027 · Cited by 102 · see citing works
Liang, B., Zhou, Y., Qian, M., Xu, M., Wang, J., Zhang, Y., Song, X., Wang, H., Lin, S., Ren, C., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.01.044 · Cited by 55 · see citing works
The origin of hepatocellular carcinoma depends on metabolic zonation
Guo, J., Liang, R., Chung, A., Li, Z., Li, B., Chen, E., Li, L., Wang, J., Hsieh, M.-H., Fang, I. X., et al. (2026) · Science · doi:10.1126/science.adv7129 · Cited by 24 · see citing works
Lim, B., Kamal, A., Gomez Ramos, B., Adrian Segarra, J. M., Ibarra, I. L., Dignas, L., Kindinger, T., Volz, K., Rahbari, M., Rahbari, N., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02081-w · Cited by 17 · see citing works
FGF19 and its analog Aldafermin cooperate with MYC to induce aggressive hepatocarcinogenesis
Ursic-Bedoya, J., Desandré, G., Chavey, C., Marie, P., Polizzi, A., Rivière, B., Guillou, H., Assenat, E., Hibner, U., & Gregoire, D. (2024) · EMBO Molecular Medicine · doi:10.1038/s44321-023-00021-x · Cited by 11 · see citing works
- Authors
- Ahn, S., Jang, S. J., Shim, J. H., Kim, D., Hong, S., Sung, C. O., Baek, D., Haq, F., Ansari, A. A., Lee, S. Y., Chun, S., Choi, S., Choi, H., Kim, J., Kim, S., Hwang, S., Lee, Y., Lee, J., Jung, W., Jang, H. Y., Yang, E., Sung, W., Lee, N. P., Mao, M., Lee, C., Zucman‐Rossi, J., Yu, E., Lee, H. C., & Kong, G.
- Affiliations
- Asan Medical Center (KR)
- Seoul National University (KR)
- Gachon University (KR)
- DNA Link, Inc. Seoul Korea
- JS Link (South Korea) (KR)
- National University of Singapore (SG)
- Department of SurgeryUniversity of Hong King Hong King China
- WuXi AppTec (China) (CN)
- The Jackson Laboratory for Genomic Medicine (US)
- Inserm (FR)
- Hanyang University (KR)
- Corresponding author
- Yu, Eunsil
- Lee, Han Chu
- Kong, Gu
- ORCID
- Venue
- Hepatology
- Published
- 2014-09-22
- Volume
- 60
- Issue
- 6
- Pages
- 1972-1982
- ISSN
- 0270-9139 (ISSN-L)
- 1527-3350
- OpenAlex
- W2018080595
- Cited by
- 424
- References
- 1
- Citations by year
- 2026: 14 · 2025: 18 · 2024: 35 · 2023: 26 · 2022: 44 · 2021: 56 · 2020: 34 · 2019: 44 · 2018: 41 · 2017: 40 · 2016: 31 · 2015: 34 · 2014: 6
- FWCI
- 20.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Hepatology (publishedVersion)
- PubMed (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Research Foundation
- Ministry of Science, ICT and Future Planning (2011-0030105)
- National Research Foundation of Korea (2011-0030105)
- 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, resectable liver cancer, RB1 mutation, tumor recurrence, prognostic factors, patient stratification, TP53, CTNNB1, AXIN1, Wnt signaling, p53 pathway, liver cirrhosis, hepatitis B, CDKN2A, c-Myc, hepatocarcinogenesis
- MeSH terms
- Adult, Aged, Aged, 80 and over, DNA Mutational Analysis, Female, Fibroblast Growth Factors, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Male, Middle Aged, Biomarkers, Tumor, Retinoblastoma Protein, E2F1 Transcription Factor, DNA Copy Number Variations
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