Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA112249 | ENA |
REPOSITORIES: ENA
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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
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.
2010-06-30 | GSE14755 | GEO
Project description:To understand the contribution of germline DNA polymorphisms discriminating between imatinib clinical outcome and toxicity, 38 GIST patients (all with KIT exon 11 mutation) treated with imatinib were analyzed through Affymetrix human DMET Plus array.
2019-01-01 | GSE119558 | GEO
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
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
Project description:Gastrointestinal stromal tumors (GIST) are thought to derive from the interstitial cells of Cajal (ICC) or an ICC precursor. Oncogenic mutations of the receptor tyrosine kinase KIT are present in most GIST. KIT K642E was originally identified in sporadic GIST and later found in the germ line of a familial GIST. A mouse model of harboring a germline Kit K641E mutant was created to model familial GIST. The expression profile was investigated in the gastric antrum in the knock-in Kit K641E murine GIST model by microarray.
2009-09-25 | GSE12931 | GEO
Project description:Mutations in KIT proto-oncogene receptor tyrosine kinase (KIT) or platelet derived growth factor receptor alpha (PDGFRA) are responsible for more than 85% of the gastrointestinal stromal tumors (GIST). The introduction of imatinib in the therapy scheme of GIST revolutionized the patient outcome. Unfortunately, the therapy allows a disease stabilization rather than curation. Resistance to the inhibitor arises in most cases within the two first years of therapy. The identification of new targets to treat GIST is now essential. We propose a thorough investigation of the activating mechanisms derived from the main PDGFRA and KIT mutants encountered in the GIST landscape. We identified striking differences among the different KIT mutants while PDGFRA mutants delivered a very uniform picture. KIT Exon 11 deletion mutant exhibited the highest intrinsic kinase activity and all KIT mutants were, in addition to their constitutive activation, responsive to stem cell factor (SCF) stimulation. This highlights the importance of evaluating the SCF expression profile in GIST patients. In contrast, PDGFRA mutants were not responsive to their ligand, PDGFAA, and displayed a very high intrinsic kinase activity. At the transcriptomic level, the mitogen-activated protein kinase (MAPK) pathway was established as the most prominent activated pathway, commonly up-regulated by all PDGFRA and KIT mutants. Inhibition of this pathway using the MEK inhibitor PD0325901 reduced the proliferation of GIST primary cells in the nanomolar range. This demonstrates the high value of MEK inhibitors for combination therapy in GIST treatment. This experiment contains expression data from HEK-293 cells expressing wild-type and mutant KIT. The mutants included in the study correspond to the main mutations found in GIST, mainly KIT Ex9 exhibits a duplication of AY502-503 and KIT Ex11 a deletion of residues 553 to 557.
2017-07-05 | E-MTAB-4548 | biostudies-arrayexpress
Project description:Purpose: Management of gastrointestinal stromal tumor (GIST) has been revolutionized by the identification of activating mutations in KIT and PDGFRA and the clinical application of receptor tyrosine kinase (RTK) inhibitors in the advanced disease setting. Stratification of GIST into molecularly defined subsets provides insight into clinical behavior and response to approved targeted therapies. Although these RTK inhibitors are effective in the majority of GIST, resistance to these agents remains a significant clinical obstacle. Development of effective treatment strategies for refractory GIST requires identification of novel targets to provide additional therapeutic options. Global kinome profiling has the potential to identify critical signaling networks and reveal protein kinases that are essential in GIST. Experimental Design: Using Multiplexed Inhibitor Beads and Mass Spectrometry paired with a super-SILAC kinome standard, we explored the majority of the kinome in GIST specimens from three GIST subtypes (KIT-mutant, PDGFRA-mutant and succinate dehydrogenase-deficient GIST) to identify novel kinase targets. In vitro and in vivo studies were performed to evaluate the utility of targeting the identified kinases in GIST. Results: Kinome profiling revealed distinct signatures in three GIST subtypes. PDGFRA-mutant GIST had elevated tumor associated macrophage (TAM) kinases and immunohistochemical analysis confirmed increased TAMs present in these tumors. Kinome profiling with loss-of-function assays revealed a significant role for G2-M tyrosine kinase, Wee1, in GIST survival. In vitro and in vivo studies revealed significant efficacy of MK-1775 (Wee1 inhibitor) in combination with avapritinib in both KIT and PDGFRA-mutant GIST cell lines, as well as notable efficacy of MK-1775 as a single agent in the PDGFRA-mutant line. Conclusions: These studies provide strong preclinical justification for the use of MK-1775 in GIST.
2021-09-09 | PXD020720 | Pride
Project description:Gastrointestinal Stromal Tumor frequently harbor mutations in the KIT receptor tyrosine kinase and depend on its activity for growth. This underlies the efficacy of imatinib, a inhibitor of KIT activity, in GIST management. GIST882 is a patient derived GIST cell line that harbor a K640E exon 13 KIT mutation and is sensitive to imatinib treatment. To analyze the downstream effect of KIT inhibition, GIST882 cells were treated for 8 hours with 1μM Imatinib.
2010-10-13 | GSE22433 | GEO
Project description:Interstitial cells of Cajal (ICC) are electrical pacemakers and mediators of neuromuscular neurotransmission in the gastrointestinal tract. Gastrointestinal stromal tumors (GIST) arise within the ICC lineage due to activating KIT/PDGFRA mutations. In this study we developed a method for isolation of human ICC by immunolabeling and fluorescence-activated cell sorting (FACS). Briefly, human gastric musculature was dissociated and incubated with antibodies against CD45, FCER1A, CD11B, KIT, and CD34. ICC (defined as HP-KIT+CD34- cells), NOT ICC (defined as HP-KIT-CD34- cells), and hematopoietic (HP) cells (defined as HP+ cells) were isolated using FACS. Microarray was performed on ICC, NOT ICC, HP+ cells, and unfractionated gastric tunica muscularis. This study utilized micorarray for the phenotypic characterization of FACS-sorted human ICC, allowing comparison of ICC to other cells of the gastric musculature, including GIST. De-identified human gastric tissues obtained as surgical excess tissue from patients undergoing bariatric operations. This study utilized oligonucleotide microarray analysis to characterize the transcriptome of FACS-sorted human ICC.
2017-02-22 | GSE77839 | GEO