| Literature DB >> 32641473 |
Elez D Vainer1, Juliane Kania-Almog2, Ghadeer Zatara3, Yishai Levin4, Gilad W Vainer5.
Abstract
Using a simple, environment friendly proteome extraction (TOP), we were able to optimize the analysis of clinical samples. Using our TOP method we analyzed a clinical cohort of microsatellite stable (MSS) and unstable (MSI-H) colorectal carcinoma (CRC). We identified a tumor cell specific, STAT1-centered, immune signature expressed by the MSI-H tumor cells. We then showed that long, but not short, exposure to Interferon-γ induces a similar signature in vitro We identified 10 different temporal protein expression patterns, classifying the Interferon-γ protein temporal regulation in CRC. Our data sheds light on the changes that tumor cells undergo under long-term immunological pressure in vivo, the importance of STAT proteins in specific biological scenarios. The data generated could help find novel clinical biomarkers and therapeutic approaches.Entities:
Keywords: Clinical proteomics; colorectal cancer; immunohistochemistry; immunology; inflammatory response; label-free quantification; molecular biology
Year: 2020 PMID: 32641473 PMCID: PMC8015011 DOI: 10.1074/mcp.RA120.002152
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911