| Literature DB >> 30804049 |
Yu Liu1, Zhigui Li1, Zhiqiang Xu1, Xiuxiu Jin1, Yanqiu Gong1, Xuyang Xia1, Yuqin Yao1, Zhaofen Xu2, Yong Zhou1, Heng Xu1, Shuangqing Li1, Yong Peng1, Xiaoting Wu3, Lunzhi Dai4.
Abstract
Gastrointestinal stromal tumor (GIST) is a common sarcoma of gastrointestinal tract (GIT) with high metastatic and recurrence rates, but the proteomic features are still less understood. Here we performed systematic quantitative proteome profiling of GIST from 13 patients classified into very low/low, intermediate and high risk subgroups. An extended cohort of GIST (n = 131) was used for immunohistochemical validation of proteins of interest. In total, 9177 proteins were quantified, covering 55.9% of the GIT transcriptome from The Human Protein Altas. Out of the 9177 quantified proteins, 4930 proteins were observed in all 13 cases with 517 upregulated and 187 downregulated proteins in tumorous tissues independent of risk stage. Pathway analysis showed that the downregulated proteins were mostly enriched in metabolic pathway, whereas the upregulated proteins mainly belonged to spliceosome pathway. In addition, 131 proteins showed differentially expressed patterns among GIST subgroups with statistical significance. The 13 GIST cases were classified into 3 subgroups perfectly based on the expression of these proteins. The intensive comparison of molecular phenotypes and possible functions of quantified oncoproteins, tumor suppressors, phosphatases and kinases between GIST subgroups was carried out. Immunohistochemical analysis of the phosphatase PTPN1 (n = 117) revealed that the GIST patients with high PTPN1 expression had low chances of developing metastasis. Collectively, this work provides valuable information for understanding the inherent biology and evolution of GIST.Entities:
Keywords: Clinical proteomics; Diagnostic; GIST; Gastrointestinal disease; High Throughput Screening; Immunohistochemistry; Mass Spectrometry; PPP2CB; PTPN1; Protein Phosphatases*; Quantitative proteomics; risk classification
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Year: 2019 PMID: 30804049 PMCID: PMC6495251 DOI: 10.1074/mcp.RA119.001361
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911