Document Details
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Document Type |
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Article In Journal |
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Document Title |
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microRNA analysis of gastric cancer patients from Saudi Arabian population microRNA analysis of gastric cancer patients from Saudi Arabian population |
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Document Language |
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English |
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Abstract |
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Background: The role of small non-coding microRNAs (miRNAs) in several types of cancer has been evident.
However, its expression studies have never been performed in gastric cancer (GC) patients from Saudi population.
First time this study was conducted to identify miRNAs that are differentially expressed in GC patients compared
with normal controls.
Methods: We investigated the role of miRNAs in GC patients using formalin-fixed paraffin-embedded (FFPE) tissues
of 34 samples from GC patients (early stage = 7 and late-stage = 26) and 15 from normal control. We have used
miRNA microarray analysis and validated the results by Real-time quantitative PCR (RT-qPCR).
Results: We obtained data of 1082 expressed genes, from cancer tissues and noncancerous tissues (49 samples
in total). Where 129 genes were up-regulated (P > 0.05) and 953 genes (P > 0.05) were down-regulated in 49 FFPE
tissue samples. Only 33 miRNAs had significant expression in early and late-stage cancer tissues. After candidate
miRNAs were selected, RT-qPCR further confirmed that four miRNAs (hsa-miR-200c-3p, hsa-miR-3613, hsa-miR-27b-
3p, hsa-miR-4668-5p) were significantly aberrant in GC tissues compared to the normal gastric tissues.
Conclusions: In this study we provide miRNAs profile of GC where many miRNAs showed aberrant expression from
normal tissues, suggesting their involvement in the development and progression of gastric cancer. In early and
late-stage miR-200c-3p showed significant down regulation as compare to control samples. Many of miRNAs
reported in our study showing up-regulation are new and not reported before may be due to population
difference. In conclusion, our results suggest that miR-200c-3p had potential to use as diagnostic biomarker for
distinguishing GC patients from normal individuals and can be used for diagnosis of cancer at early stage. |
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ISSN |
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1471-2164 |
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Journal Name |
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BMC genomics |
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Volume |
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17 |
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Issue Number |
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9 |
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Publishing Year |
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1437 AH
2016 AD |
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Article Type |
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Article |
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Added Date |
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Monday, July 17, 2017 |
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Researchers
| Fehmida Bibi | Bibi, Fehmida | Researcher | Doctorate | |
| Muhammad I. Naseer | Naseer, Muhammad I. | Researcher | Doctorate | |
| Sana Akhtar Alvi | Alvi, Sana Akhtar | Researcher | Doctorate | |
| Muhammad Yasir | Yasir, Muhammad | Researcher | Doctorate | |
| Esam Azhar | Azhar, Esam | Researcher | Doctorate | |
| Mohammed H. Al-Qahtani | Al-Qahtani, Mohammed H. | Researcher | Doctorate | |
| Adel M. Abuzenadah | Abuzenadah, Adel M. | Researcher | Doctorate | |
| Asif A. Jiman-Fatani | Jiman-Fatani, Asif A. | Researcher | Doctorate | |
| Ali Sawan | Sawan, Ali | Researcher | Doctorate | |
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