Dataset Information

GIST proteome dataset(Proteomic Maps of Human Gastrointestinal Stromal Tumor Subgroups)

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, 10064 proteins were quantified, covering 61% of the GIT transcriptome from The Human Protein Altas. Out of the 10064 quantified proteins, 4938 proteins were observed in all 13 cases with 518 proteins upregulated and 190 proteins downregulated in tumorous tissues independent of risk rating. Pathway analysis showed that the downregulated proteins were mostly enriched in metabolic pathway, while 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 molecular phenotypes of oncoproteins, tumor suppressors, phosphatase and kinases were summarized, and some important molecules were observed. Immunohistochemical analysis of two phosphatases PTPN1 (n = 117) and PPP2CB (n=113) revealed that the GIST patients with high PTPN1 had low chances of developing metastasis, and the expression of PPP2CB was likely to be associated with GIST risk. Collectively, this work provides valuable information for understanding the inherent biology and evolution of GIST.

ORGANISM(S): Homo Sapiens

SUBMITTER: Lunzhi Dai

PROVIDER: PXD011299 | iProX | Tue Jan 29 00:00:00 GMT 2019

REPOSITORIES: iProX

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Publications

Proteomic Maps of Human Gastrointestinal Stromal Tumor Subgroups.

Liu Yu Y Li Zhigui Z Xu Zhiqiang Z Jin Xiuxiu X Gong Yanqiu Y Xia Xuyang X Yao Yuqin Y Xu Zhaofen Z Zhou Yong Y Xu Heng H Li Shuangqing S Peng Yong Y Wu Xiaoting X Dai Lunzhi L

Molecular & cellular proteomics : MCP 20190225 5

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 (<i>n</i> = 131) was used for immunohistochemical validation of proteins of interest. In total, 9177 proteins were quantified, cover ...[more]

PMID: 30804049

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Project description:Identification of novel molecular subgroups Background: International consensus recognises four medulloblastoma molecular subgroups - WNT, SHH, Group 3 and Group 4 - each defined by their characteristic genome-wide transcriptomic and DNA methylomic profiles. Subgroups harbor distinct clinico-pathological and molecular features, underpin current disease sub-classification and initial subgroup-directed therapies are underway in clinical trials (i.e. reduced risk-adapted treatments for favorable-risk WNT patients; SMO inhibitors for SHH patients). However, significant biological heterogeneity and differences in survival are apparent within each subgroup, which remain to be resolved. Methods: We undertook comprehensive molecular profiling and unsupervised class discovery (non-negative matrix factorization, t-SNE) of test and validation cohorts to identify consensus primary molecular subgroups within childhood medulloblastoma (<16.0 years), and characterize their clinical and biological significance. Survival modeling was performed in clinically-annotated centrally-reviewed patients (>3.0 years). Findings: Seven robust and reproducible primary molecular subgroups of childhood medulloblastoma were identified, characterized by distinct biological/clinical features. For instance, SHH comprised two age-dependent subgroups, while Grp3 and Grp4 each split into two subgroups with significantly different survival rates. Survival analysis identified secondary features predictive of outcome. Cross-validated subgroup-dependent models incorporating these novel subgroups along with secondary features and established disease risk-factors, outperformed current disease risk-stratification schemes. These schema stratified patients into four clinical risk-groups - favorable-risk (91% 5-year survival, 25% of patients), standard-risk (81%, 23%), high-risk (42%, 38%) and very high-risk (28%, 13%) - to be considered for treatment reduction, intensification or novel therapies respectively. Interpretation: The discovery of seven novel, clinically-significant, subgroups significantly improves disease risk-stratification and provides a new foundation for future research and clinical investigations.

Dataset Information

GIST proteome dataset(Proteomic Maps of Human Gastrointestinal Stromal Tumor Subgroups)

Publications

Proteomic Maps of Human Gastrointestinal Stromal Tumor Subgroups.

Similar Datasets

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