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Expression profiling of GIST: CD133 is associated with KIT exon 11 deletion, gastric location and poor prognosis

ABSTRACT: Background & Aims: In gastrointestinal stromal tumors (GIST) KIT exon 11 deletions are associated with poor prognosis. The aim of this study was to determine the gene expression profile of GIST carrying KIT exon 11 deletions and to identify genes associated with poor prognosis. Methods: Expression profiling was performed on 9 tumors with KIT exon 11 deletions and 7 without KIT exon 11 mutations using oligonucleotide microarrays. In addition, gene expression profiles for 35 GISTs were analysed by meta-analysis. Differentially expressed genes were identified and confirmed by qPCR. Expression of CD133 (prominin-1) protein (AC133) was also examined by tissue microarray (TMA) analysis of 204 GISTs from a population-based study in Western Sweden. Survival analysis was performed using Cox regression model. Results: Gene expression profiling, meta-analysis and qPCR demonstrated up-regulation of the stem cell marker CD133 in GIST carrying KIT exon 11 deletions. Immunohistochemical analysis on TMA confirmed CD133 expression in 28% of all tumors. CD133 positivity was frequent in gastric GIST (48%) versus small intestinal GIST (4%). CD133 positivity was also frequent in GIST with KIT exon 11 mutations (41%) compared to tumors with mutations in KIT exon 9, PDGFRA, or wild-type tumors (0-17%). There was no significant correlation between CD133 staining and NIH risk score. Survival analysis demonstrated significant correlation between presence of CD133 and shorter overall survival. Conclusions: The stem cell marker CD133 is expressed in a subset of predominantly gastric GIST with KIT exon 11 mutations and associated with poor prognosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE14755 | GEO | 2010/06/30

SECONDARY ACCESSION(S): PRJNA112249

REPOSITORIES: GEO

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Expression profiling of GIST: CD133 is associated with KIT exon 11 deletion, gastric location and poor prognosis

Project description:Background & Aims: In gastrointestinal stromal tumors (GIST) KIT exon 11 deletions are associated with poor prognosis. The aim of this study was to determine the gene expression profile of GIST carrying KIT exon 11 deletions and to identify genes associated with poor prognosis. Methods: Expression profiling was performed on 9 tumors with KIT exon 11 deletions and 7 without KIT exon 11 mutations using oligonucleotide microarrays. In addition, gene expression profiles for 35 GISTs were analysed by meta-analysis. Differentially expressed genes were identified and confirmed by qPCR. Expression of CD133 (prominin-1) protein (AC133) was also examined by tissue microarray (TMA) analysis of 204 GISTs from a population-based study in Western Sweden. Survival analysis was performed using Cox regression model. Results: Gene expression profiling, meta-analysis and qPCR demonstrated up-regulation of the stem cell marker CD133 in GIST carrying KIT exon 11 deletions. Immunohistochemical analysis on TMA confirmed CD133 expression in 28% of all tumors. CD133 positivity was frequent in gastric GIST (48%) versus small intestinal GIST (4%). CD133 positivity was also frequent in GIST with KIT exon 11 mutations (41%) compared to tumors with mutations in KIT exon 9, PDGFRA, or wild-type tumors (0-17%). There was no significant correlation between CD133 staining and NIH risk score. Survival analysis demonstrated significant correlation between presence of CD133 and shorter overall survival. Conclusions: The stem cell marker CD133 is expressed in a subset of predominantly gastric GIST with KIT exon 11 mutations and associated with poor prognosis. Tumors with and without KIT exon 11 deletion were compared using a common reference design.

2010-06-30 | E-GEOD-14755 | biostudies-arrayexpress

A Retrospective Study of C-kit Mutation Status in Asian Patients With Advanced Gastro-intestinal Stromal Tumors (GIST) Treated With Imatinib.

Project description:Imatinib is the current standard treatment for advanced GIST. Previous studies have shown that GIST genotype was associated with treatment outcomes with exon 11 having superior outcome compared with exon 9 or WT.10, 11 In patients with exon 9 kit mutation, the response rate was higher at when imatinib was given at 800mg daily compared with the standard dose of 400mg daily. Although the data linking tyrosine kinase mutation status and imatinib response in metastatic GISTs is intriguing, more information is needed before mutation testing is adopted as part of the routine analysis of high-risk or overtly malignant KIT-expressing GISTs.25 Despite the fact that exon 9 mutations are associated with a lower response rate, overall survival does not appear to be better with high-dose therapy. The investigators propose to conduct a retrospective analysis of mutational analysis on patients with GIST and determine the relationship between patient response and imatinib dose.

| 2097070 | ecrin-mdr-crc

Array CGH analysis of human gastrointestinal stromal tumors

Project description:Gastrointestinal stromal tumors (GISTs) are the most important mesenchymal tumors of the gastrointestinal tract. The vast majority of GISTs exhibit activating mutations of KIT or PDGFRA, but epigenetic alteration of GISTs is largely unknown. In this study, we aimed to clarify the involvement of DNA methylation in GIST malignancy. A total of 25 GIST specimens were studied using Human Genome CGH Microarray Kit 105A (G4412A, Agilent). Levels of LINE-1 methylation were analyzed using bisulfite-pyrosequencing. LINE-1 hypomethylation was correlated with risk grade, and high-risk GISTs exhibited lower levels of LINE-1 methylation than low- or intermediate-risk GISTs. Array CGH analysis revealed a significant correlation between LINE-1 hypomethylation and chromosomal aberrations. Our data suggest that LINE-1 hypomethylation correlates with the aggressiveness of GISTs. Hypomethylation may increase the malignant potential of GISTs by inducing accumulation of chromosomal aberrations.

2010-06-20 | GSE22185 | GEO

Affymetrix Cytoscan HD 2,600K SNP array data for 9 GISTs

Project description:KIT, PDGFRA, NF1, and SDH mutations are alternate initiating events, fostering hyperplasia in gastrointestinal stromal tumors (GISTs), and additional genetic alterations are required for progression to malignancy. The most frequent secondary alteration, demonstrated in ~70% of GISTs, is chromosome 14q deletion. Here we report hemizygous or homozygous inactivating mutations of the chromosome 14q MAX gene in 16 of 76 GISTs (21%). We find MAX mutations in 17% and 50% of sporadic and NF1-syndromic GISTs, respectively, and we find loss of MAX protein expression in 48% and 90% of sporadic and NF1-syndromic GISTs, and in 3 of 8 micro GISTs, which are early GISTs. MAX genomic inactivation is associated with p16 silencing in the absence of p16 coding sequence deletion, and MAX induction restores p16 expression and inhibits GIST proliferation. Hence, MAX inactivation is a common event in GIST progression, fostering cell cycle activity in early GISTs.

2017-02-03 | GSE93077 | GEO

Array CGH analysis of human gastrointestinal stromal tumors

2010-06-20 | E-GEOD-22185 | biostudies-arrayexpress

Gastrointestinal stromal tumors (GISTs) with KIT and PDGFRA mutations

Project description:Abstract: Most GISTs require oncogenic activation of the KIT or PDGFRA receptor tyrosine kinase proteins, and the genomic mechanisms of oncogene activation are heterogeneous. Notably, the kinase mutation type correlates with both tumor biology and imatinib response. For example, GISTs with KIT exon 11 mutations are typically gastric and have excellent imatinib response, whereas those with KIT exon 9 mutations generally arise in the small bowel and are less responsive to imatinib. To identify genes that might contribute to these biological differences, we carried out gene expression profiling of 26 GISTs with known KIT and PDGFRA mutational status. Expression differences were then evaluated further by RNA in situ hybridization, immunohistochemistry, and immunoblotting. Unsupervised hierarchical clustering grouped tumors with similar mutations together, but the distinction between the different groups was not absolute. Differentially expressed genes included ezrin, p70S6K, and PKCs, which are known to have key roles in KIT or PDGFRA signaling, and which might therefore contribute to the distinctive clinicopathological features in GISTs with different mutation types. These gene products could serve as highly selective therapeutic targets in GISTs containing the KIT or PDGFRA mutational types with which they are associated. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Keywords: disease_state_design

2006-01-10 | GSE4001 | GEO

miRNA Expression in PDGFRA Mutant GISTs

Project description:Context: Gastrointestinal stromal tumors (GISTs) harboring mutations in the PDGFRA gene occur in only about 5–7% of patients. The most common PDGFRA mutation is exon 18 D842V, which is corre-lated with specific clinico-pathological features compared to the other PDGFRA mutated GISTs. Herein, we present a miRNA expression profile comparison of PDGFRA D842V mutant GISTs and PDGFRA with mutations other than D842V (non-D842V). miRNA expression profiling was carried out on 10 patients using a TLDA miRNA array. Then, miRNA expression was followed by bioinformatic analysis aimed at evaluating differential expression, pathway enrichment, and miRNA-mRNA networks. We highlighted 24 differentially expressed miRNAs between D842V and non-D842V GIST patients. Pathway enrichment analysis showed that deregulated miRNAs targeted genes that are mainly involved in the immune response pathways. The miRNA-mRNA networks highlighted a signature of miRNAs/mRNA that could explain the indolent behavior of the D842V mutated GIST. The results highlighted a different miRNA fingerprint in PDGFRA D842V GISTs compared to non-D842Vmutated patients, which could explain the different bio-logical behavior of this GIST subset.

2022-10-31 | GSE215402 | GEO

Copy number data from GIST with KIT mutation

Project description:In addition to KIT and PDGFRA mutations, sequential accumulation of other genetic events is involved in the development and progression of gastrointestinal stromal tumors (GISTs). Until recently, the significance of these other alterations has not been thoroughly investigated. The combination of gene expression profiling and high-resolution genomic copy number analysis offers a detailed molecular portrait of GISTs, providing an essential comprehensive knowledge necessary to guide the discovery of novel target genes involved in tumor development and progression. Fresh tissue specimens from 25 patients with GIST were collected and high-resolution genomic copy number analyses were performed using Affymetrix SNP array 6.0. GIST tumor samples from mutated (KIT or PDGFRA) or Wild Type patients were labeled for hybridization on Affymetrix microarrays. Copy number analysis of Affymetrix SNP6.0 arrays was performed for 25 GIST samples, then compared to gene expression data.

2010-08-27 | E-GEOD-20709 | biostudies-arrayexpress

Molecular comparison of imatinib-naïve and resistant gastrointestinal stromal tumors: differentially expressed microRNAs and mRNAs

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.

2019-06-12 | GSE132542 | GEO

Driver gene alterations and activated signaling pathways toward malignant progression of gastrointestinal stromal tumors

Project description:Mutually exclusive KIT and PDGFRA mutations are considered to be the earliest events in gastrointestinal stromal tumors (GISTs), but insufficient for their malignant progression. Here, we explored to identify driver genes and signaling pathways relevant to GIST progression. We investigated gene expression along with genetic profiles of 707 driver genes, including mutations, gene fusions, copy number gain or loss, for 65 clinical specimens of surgically dissected GISTs, consisting of 6 metastasis and 59 primary tumors from stomach, small intestine, rectum, and esophagus. Genetic alterations include oncogenic mutations and amplification-dependent expression enhancement for oncogenes (OGs), and loss of heterozygosity (LOH) and expression reduction for tumor suppressor genes (TSGs). We assigned activated OGs and inactivated TSGs to 27 signaling pathways, whose activation was compared between malignant GISTs (metastasis and high-risk GISTs) and less malignant GISTs (low- and very low-risk GISTs). Integrative molecular profiling indicated that higher incidence of genetic alterations of driver genes were detected more in malignant GISTs (96%, 22 of 23) than in less malignant GISTs (73%, 24 of 33). The malignant GIST samples showed mutations, LOH, and aberrant expression dominantly in driver genes associated with signaling pathways of PI3K (PIK3CA, AKT1, and PTEN) and cell cycle (RB1, CDK4, and CDKN1B). Additionally, we identified potential PI3K-related genes, whose expression was upregulated (SNAI1 and TPX2) or downregulated (BANK1) in malignant GISTs. Based on our observations, we propose that inhibition of PI3K pathway signals might potentially be an effective therapeutic strategy against malignant progression of GISTs.

2019-12-04 | GSE136755 | GEO

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