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Integrated Profiling and Immunohistochemistry Analyses Link circ-BRIP1, circ-EPHB4 and Their Host Genes with Imatinib Resistance in Gastrointestinal Stromal Tumors

ABSTRACT: Integrated Profiling and Immunohistochemistry Analyses Link circ-BRIP1, circ-EPHB4 and Their Host Genes with Imatinib Resistance in Gastrointestinal Stromal Tumors

PROVIDER: PRJNA779958 | ENA |

REPOSITORIES: ENA

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Integrated Profiling and Immunohistochemistry Analyses Link circ-BRIP1, circ-EPHB4 and Their Host Genes with Imatinib Resistance in Gastrointestinal Stromal Tumors

Project description:Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the digestive tract. The majority of GIST patients eventually develop resistance to imatinib therapy. To identify the responsible mechanisms, we investigated the differentially expressed mRNAs and circRNAs in imatinib-resistant GISTs using SBC ceRNA microarrays. We found that 107 mRNAs and 521 circRNAs were significantly differentially expressed between imatinib-naïve and imatinib-resistant GIST tissue samples. qRT-PCR analyses validated that circ-BRIP1, circ-EPHB4 and circ-RECQL4 and their host genes were upregulated in imatinib-resistant GISTs, and circ-BRIP1, circ-EPHB4, and RECQL4 were associated with imatinib resistance, tumor relapse and progression, and metastasis in GIST patients. The expression levels of circ-BRIP1, circ-EPHB4 and their host genes were also evaluated using TMAs with 150 human GISTs. The expression level of EPHB4 was significantly increased in high-grade GISTs in comparison to low-grade GISTs and correlated with imatinib resistance. Specifically, we first developed a method for high-throughput analysis of the expression of differentially expressed circRNAs by ISH-IHC in a set of FFPE-tissue microarrays in GIST. Our results also suggested a possible role for circ-BRIP1, circ-EPHB4, and their host genes in the progression of GISTs.

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2013-08-01 | E-GEOD-40080 | biostudies-arrayexpress

microRNA expression signatures of imatinib-treated and non-treated gastrointestinal stromal tumors

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microRNA expression signatures of imatinib-treated and non-treated gastrointestinal stromal tumors

Project description:We performed microRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib-treated and non-treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed microRNAs among imatinib-treated and non-treated groups were identified using SAM analysis. Agilent microarray platform with probes matching 903 human microRNAs was used to determine miRNA expression profiles in 34 GISTs (19 imatinib-treated and 15 non-treated). Re-analysis of GSE45901 for 17 imatinib-treated GISTs. To validate the microarray platform, the expression levels of selected microRNAs were evaluated using qRT-PCR.

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Project description:We performed miRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed miRNAs among imatinib-resistant and imatinib-sensitive groups were identified using SAM analysis. Agilent microarray platform with probes matching 903 human miRNAs was used to determine miRNA expression profiles in 17 GISTs (imatinib-sensitive and 7 imatinib-resistant). To validate the microarray platform, the expression levels of selected miRNAs were evaluated using qRT-PCR.

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Project description:Despite the success of imatinib in advanced gastrointestinal stromal tumor (GIST) patients, 50% of the patients experience resistance within two years of treatment underscoring the need to get better insight into the mechanisms conferring imatinib resistance. Here the microRNA and mRNA expression profiles in primary (imatinib-naïve) and imatinib-resistant GIST were examined. Fifty-three GIST samples harboring primary KIT mutations (exon 9; n=11/exon 11; n=41/exon 17; n=1) and comprising imatinib-naïve (IM-n) (n=33) and imatinib-resistant (IM-r) (n=20) tumors, were analyzed. The microRNA expression profiles were determined and from a subset (IM-n, n=14; IM-r, n=15) the mRNA expression profile was established. Ingenuity pathway analyses were used to unravel biochemical pathways and gene networks in IM-r GIST. Thirty-five differentially expressed miRNAs between IM-n and IM-r GIST samples were identified. Additionally, miRNAs distinguished IM-r samples with and without secondary KIT mutations. Furthermore 352 aberrantly expressed genes were found in IM-r samples. Pathway and network analyses revealed an association of differentially expressed genes with cell cycle progression and cellular proliferation thereby implicating genes and pathways involved in imatinib resistance in GIST. Differentially expressed miRNAs and mRNAs between IM-n and IM-r GIST were identified. Bioinformatic analyses provided insight into the genes and biochemical pathways involved in imatinib-resistance and highlighted key genes that may be putative treatment targets.

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