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Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma.

ABSTRACT: Metastasis is the main cause of cancer mortality but its process remains poorly understood and thus hampers more effective treatment and improved cancer prognosis. To search for metastasis driver genes responsible for tumor spread, we integrated genomic and transcriptomic profiles of 61 matched primary tumors and distant metastases of liver or colorectal carcinoma isolated by laser-capture microdissection and assayed by array-based technologies. We found that primary tumor lesions and their matched distant metastases were largely similar at the genomic and transcriptomic levels, but substantial differences could be found between primary tumors with or without accompanying metastases. Interestingly, metastasis genes were principally tumor type and organ site-specific. Despite distinct pathway enrichment, different metastasis gene sets shared common prognostic capacity and were predictive of hepatocellular carcinoma survival in an independent cohort. Thus, the metastatic propensity is inherent to the primary tumor and the lack of general metastasis genes necessitates the development of specific treatment modalities.

SUBMITTER: Roessler S

PROVIDER: S-EPMC4278258 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma.

Roessler Stephanie S Lin Guoling G Forgues Marshonna M Budhu Anuradha A Hoover Shelley S Simpson R Mark RM Wu Xiaolin X He Ping P Qin Lun-Xiu LX Tang Zhao-You ZY Ye Qing-Hai QH Wang Xin Wei XW

International journal of biological sciences 20150101 1

Metastasis is the main cause of cancer mortality but its process remains poorly understood and thus hampers more effective treatment and improved cancer prognosis. To search for metastasis driver genes responsible for tumor spread, we integrated genomic and transcriptomic profiles of 61 matched primary tumors and distant metastases of liver or colorectal carcinoma isolated by laser-capture microdissection and assayed by array-based technologies. We found that primary tumor lesions and their matc ...[more]

PMID: 25552933

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Project description:BACKGROUND:Next-generation sequencing (NGS) studies of matched pairs of primary and metastatic tumors in renal cell carcinoma (RCC) have been limited to small cohorts. OBJECTIVE:To evaluate the discordance in somatic mutations between matched primary and metastatic RCC tumors. DESIGN, SETTING, AND PARTICIPANTS:Primary tumor (P), metastasis (M), and germline DNA from 60 patients with RCC was subjected to NGS with a targeted exon capture-based assay of 341 cancer-associated genes. Somatic mutations were called using a validated pipeline. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS:Mutations were classified as shared (S) or private (Pr) in relation to each other within individual P-M pairs. The concordance score was calculated as (S-Pr)/(S+Pr). To calculate enrichment of Pr/S mutations for a particular gene, we calculated a two-sided p value from a binomial model for each gene with at least ten somatic mutation events, and also implemented a separate permutation test procedure. We adjusted p values for multiple hypothesis testing using the Benjamini-Hochberg procedure. The mutation discordance was calculated using Mann-Whitney U tests according to gene mutations or metastatic sites. RESULTS AND LIMITATIONS:Twenty-one pairs (35%) showed Pr mutations in both P and M samples. Of the remaining 39 pairs (65%), 14 (23%) had Pr mutations specific to P samples, 12 (20%) had Pr mutations to M samples, and 13 (22%) had identical somatic mutations. No individual gene mutation was preferentially enriched in either P or M samples. P-M pairs with SETD2 mutations demonstrated higher discordance than pairs with wild-type SETD2. We observed that patients who received therapy before sampling of the P or M tissue had higher concordance of mutations for P-M pairs than patients who did not (Mann-Whitney p=0.088). CONCLUSIONS:Our data show mutation discordance within matched P-M RCC tumor pairs. As most contemporary precision medicine trials do not differentiate mutations detected in P and M tumors, the prognostic and predictive value of mutations in P versus M tumors warrants further investigation. PATIENT SUMMARY:In this study we evaluated the concordance of mutations between matched primary and metastatic tumors for 60 kidney cancer patients using a panel of 341 cancer genes. Forty-seven patients carried nonidentical cancer gene mutations within their matched primary-metastatic pair. The mutation profile of the primary tumor alone could compromise precision in selecting effective targeted therapies and result in suboptimal clinical outcomes.

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

Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma.

Publications

Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma.

Similar Datasets

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