Dataset Information

Molecular genomic landscapes of hepatobiliary cancer.

ABSTRACT: Hepatocellular carcinoma (HCC) and biliary tract cancer are more frequent in East Asia including Japan than in Europe or North America. A compilation of 1340 multi-ethnic HCC genomes, the largest cohort ever reported, identified a comprehensive landscape of HCC driver genes, comprised of three core drivers (TP53, TERT, and WNT signaling) and combinations of infrequent alterations in various cancer pathways. In contrast, five core driver genes (TP53, ARID1A, KRAS, SMAD4, and BAP1) with characteristic molecular alterations including fusion transcripts involving fibroblast growth factor receptor 2 and the protein kinase A pathway, and IDH1/2 mutation constituted the biliary tract cancer genomes. Consistent with their heterogeneous epidemiological backgrounds, mutational signatures and combinations of non-core driver genes within these cancer genomes were found to be complex. Integrative analyses of multi-omics data identified molecular classifications of these tumors that are associated with clinical outcome and enrichments of potential therapeutic targets, including immune checkpoint molecules. Translating comprehensive molecular-genomic analysis together with further basic research and international collaborations are highly anticipated for developing precise and better treatments, diagnosis, and prevention of these tumor types.

SUBMITTER: Shibata T

PROVIDER: S-EPMC5980207 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Molecular genomic landscapes of hepatobiliary cancer.

Shibata Tatsuhiro T Arai Yasuhito Y Totoki Yasushi Y

Cancer science 20180428 5

Hepatocellular carcinoma (HCC) and biliary tract cancer are more frequent in East Asia including Japan than in Europe or North America. A compilation of 1340 multi-ethnic HCC genomes, the largest cohort ever reported, identified a comprehensive landscape of HCC driver genes, comprised of three core drivers (TP53, TERT, and WNT signaling) and combinations of infrequent alterations in various cancer pathways. In contrast, five core driver genes (TP53, ARID1A, KRAS, SMAD4, and BAP1) with characteri ...[more]

PMID: 29573058

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Project description:BackgroundColorectal cancer (CRC) ranks as the second-leading cause of cancer-related death worldwide with metastases being the main cause of cancer-related death. Here, we investigated the genomic and transcriptomic alterations in matching adjacent normal tissues, primary tumors, and metastatic tumors of CRC patients.MethodsWe performed whole genome sequencing (WGS), multi-region whole exome sequencing (WES), simultaneous single-cell RNA-Seq, and single-cell targeted cDNA Sanger sequencing on matching adjacent normal tissues, primary tumors, and metastatic tumors from 12 metastatic colorectal cancer patients (n=84 for genomes, n=81 for exomes, n=9120 for single cells). Patient-derived tumor organoids were used to estimate the anti-tumor effects of a PPAR inhibitor, and self-renewal and differentiation ability of stem cell-like tumor cells.ResultsWe found that the PPAR signaling pathway was prevalently and aberrantly activated in CRC tumors. Blocking of PPAR pathway both suppressed the growth and promoted the apoptosis of CRC organoids in vitro, indicating that aberrant activation of the PPAR signaling pathway plays a critical role in CRC tumorigenesis. Using matched samples from the same patient, distinct origins of the metastasized tumors between lymph node and liver were revealed, which was further verified by both copy number variation and mitochondrial mutation profiles at single-cell resolution. By combining single-cell RNA-Seq and single-cell point mutation identification by targeted cDNA Sanger sequencing, we revealed important phenotypic differences between cancer cells with and without critical point mutations (KRAS and TP53) in the same patient in vivo at single-cell resolution.ConclusionsOur data provides deep insights into how driver mutations interfere with the transcriptomic state of cancer cells in vivo at a single-cell resolution. Our findings offer novel knowledge on metastatic mechanisms as well as potential markers and therapeutic targets for CRC diagnosis and therapy. The high-precision single-cell RNA-seq dataset of matched adjacent normal tissues, primary tumors, and metastases from CRCs may serve as a rich resource for further studies.

Dataset Information

Molecular genomic landscapes of hepatobiliary cancer.

Publications

Molecular genomic landscapes of hepatobiliary cancer.

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