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Proteogenomic characterization and comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.


ABSTRACT: BACKGROUND:Proteogenomic characterization and integrative and comparative genomic analysis provide a functional context to annotate genomic abnormalities with prognostic value. METHODS:Here, we analyzed the proteomes and performed whole exome and transcriptome sequencing and single nucleotide polymorphism array profiling for 2 sets of triplet samples comprised of normal colorectal tissue, primary CRC tissue, and synchronous matched liver metastatic tissue. RESULTS:We identified 112 CNV-mRNA-protein correlated molecules, including up-regulated COL1A2 and BGN associated with prognosis, and four strongest hot spots (chromosomes X, 7, 16 and 1) driving global mRNA abundance variation in CRC liver metastasis. Two sites (DMRTB1R202H and PARP4V458I) were revealed to frequent mutate only in the liver metastatic cohort and displayed dysregulated protein abundance. Moreover, we confirmed that the mutated peptide number has potential prognosis value and somatic variants displayed increased protein abundance, including high MYH9 and CCT6A expression, with clinical significance. CONCLUSIONS:Our proteogenomic characterization and integrative and comparative genomic analysis provides a new paradigm for understanding human colon and rectal cancer liver metastasis. TRIAL REGISTRATION:ClinicalTrials, NCT02917707. Registered 28 September 2016, https://clinicaltrials.gov/ct2/show/NCT02917707 .

SUBMITTER: Ma YS 

PROVIDER: S-EPMC6148962 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Proteogenomic characterization and comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.

Ma Yu-Shui YS   Huang Tao T   Zhong Xiao-Ming XM   Zhang Hong-Wei HW   Cong Xian-Ling XL   Xu Hong H   Lu Gai-Xia GX   Yu Fei F   Xue Shao-Bo SB   Lv Zhong-Wei ZW   Fu Da D  

Molecular cancer 20180921 1


<h4>Background</h4>Proteogenomic characterization and integrative and comparative genomic analysis provide a functional context to annotate genomic abnormalities with prognostic value.<h4>Methods</h4>Here, we analyzed the proteomes and performed whole exome and transcriptome sequencing and single nucleotide polymorphism array profiling for 2 sets of triplet samples comprised of normal colorectal tissue, primary CRC tissue, and synchronous matched liver metastatic tissue.<h4>Results</h4>We identi  ...[more]

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