MiRNA profiling of gastrointestinal stromal tumors by next-generation sequencing Article Swipe
Ugnė Gyvytė
,
Simonas Juzėnas
,
Violeta Šaltenienė
,
Juozas Kupčinskas
,
Lina Poškienė
,
Laimutis Kučinskas
,
Sonata Jarmalaitė
,
Kristina Stuopelytė
,
Rūta Steponaitienė
,
Georg Hemmrich‐Stanisak
,
Matthias Hübenthal
,
Alexander Link
,
Sabine Franke
,
André Franke
,
Dalia Pangonytė
,
Vaiva Lesauskaitė
,
Limas Kupčinskas
,
Jurgita Skiecevičienė
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.16664
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.16664
Deregulation of miRNAs has been observed virtually in all major types of cancer, whereas the miRNA signature in GIST is not well characterized yet. In this study the first high-throughput miRNA profiling of 15 paired GIST and adjacent normal tissue samples was performed using small RNA-seq approach and differentially expressed miRNAs as well as isomiRNAs were defined. Highly significantly deregulated miRNAs were selected for validation by Taq-Man low-density array in replication group of 40 paired samples. Validated miRNAs were further subjected to enrichment analysis, which revealed significantly enriched KEGG pathways in the main GIST associated pathways. Further, we used an integrated analysis of miRNA-mRNA correlations for KIT and PDGFRA target genes and found a significant correlation between all of the enriched miRNAs and their target gene KIT. Results of the phenotype analysis showed miR-509-3p to be up-regulated in epithelioid and mixed cell types compared to spindle type, whereas miR-215-5p showed negative correlation with risk grade of GIST. These data reveal a detailed miRNA profile of GIST and highlight new candidates that may be important in the development of malignant disease.
Related Topics
Concepts
GiST
microRNA
PDGFRA
Biology
KEGG
Gene expression profiling
Stromal cell
Phenotype
Computational biology
Transcriptome
Fold change
Cancer research
Gene
Gene expression
Genetics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18632/oncotarget.16664
- http://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16664&path%5B%5D=53299
- OA Status
- diamond
- Cited By
- 36
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2604079555
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2604079555Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18632/oncotarget.16664Digital Object Identifier
- Title
-
MiRNA profiling of gastrointestinal stromal tumors by next-generation sequencingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-03-29Full publication date if available
- Authors
-
Ugnė Gyvytė, Simonas Juzėnas, Violeta Šaltenienė, Juozas Kupčinskas, Lina Poškienė, Laimutis Kučinskas, Sonata Jarmalaitė, Kristina Stuopelytė, Rūta Steponaitienė, Georg Hemmrich‐Stanisak, Matthias Hübenthal, Alexander Link, Sabine Franke, André Franke, Dalia Pangonytė, Vaiva Lesauskaitė, Limas Kupčinskas, Jurgita SkiecevičienėList of authors in order
- Landing page
-
https://doi.org/10.18632/oncotarget.16664Publisher landing page
- PDF URL
-
https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16664&path%5B%5D=53299Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=16664&path%5B%5D=53299Direct OA link when available
- Concepts
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GiST, microRNA, PDGFRA, Biology, KEGG, Gene expression profiling, Stromal cell, Phenotype, Computational biology, Transcriptome, Fold change, Cancer research, Gene, Gene expression, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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36Total citation count in OpenAlex
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2025: 3, 2024: 1, 2023: 5, 2022: 9, 2020: 5Per-year citation counts (last 5 years)
- References (count)
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73Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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