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Cancer Cell
Article
License: Elsevier Non-Commercial
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Cancer Cell
Article . 2020 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Integrated Omics of Metastatic Colorectal Cancer

Authors: Chen Li; Yi-Di Sun; Guan-Yu Yu; Jing-Ru Cui; Zheng Lou; Hang Zhang; Ya Huang; +15 Authors

Integrated Omics of Metastatic Colorectal Cancer

Abstract

We integrate the genomics, proteomics, and phosphoproteomics of 480 clinical tissues from 146 patients in a Chinese colorectal cancer (CRC) cohort, among which 70 had metastatic CRC (mCRC). Proteomic profiling differentiates three CRC subtypes characterized by distinct clinical prognosis and molecular signatures. Proteomic and phosphoproteomic profiling of primary tumors alone successfully distinguishes cases with metastasis. Metastatic tissues exhibit high similarities with primary tumors at the genetic but not the proteomic level, and kinase network analysis reveals significant heterogeneity between primary colorectal tumors and their liver metastases. In vivo xenograft-based drug tests using 31 primary and metastatic tumors show personalized responses, which could also be predicted by kinase-substrate network analysis no matter whether tumors carry mutations in the drug-targeted genes. Our study provides a valuable resource for better understanding of mCRC and has potential for clinical application.

Related Organizations
Keywords

Proteomics, China, Gene Expression Profiling, Antineoplastic Agents, Genomics, Prognosis, Xenograft Model Antitumor Assays, Cohort Studies, Gene Expression Regulation, Neoplastic, Mice, Animals, Humans, Molecular Targeted Therapy, Neoplasm Metastasis, Phosphorylation, Precision Medicine, Colorectal Neoplasms, Protein Kinases

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    235
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
235
Top 0.1%
Top 10%
Top 0.1%
hybrid