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Downregulation of serum mi R-17 and mi R-106b levels in gastric cancer and benign gastric diseases
Altered micro RNA(mi RNA) associated with gastric cancer(GC) development and mi R-17 and mi R-106 b were differentially expressed in GC tissues. This study detected serum levels of mi R-17 and mi R-106 b expression in GC, benign gastric disease(BGD) and healthy controls to assess them as tumor marke...
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Published in: | 中国癌症研究:英文版 2014 (6), p.711-716 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Altered micro RNA(mi RNA) associated with gastric cancer(GC) development and mi R-17 and mi R-106 b were differentially expressed in GC tissues. This study detected serum levels of mi R-17 and mi R-106 b expression in GC, benign gastric disease(BGD) and healthy controls to assess them as tumor markers for GC. Serum samples from 40 GC, 32 BGD(10 gastric ulcer, 14 gastric polyps, and 8 gastric ulcer with polyps) and 36 healthy individuals were subjected to quantitative reverse transcription polymerase chain reaction(q RT-PCR) analysis of mi R-17 and mi R-106 b expression. The data showed that the serum levels of mi R-17 and mi R-106 b were significantly reduced in healthy individuals and BGD patients compared to GC patients. There was a significant association of mi R-17 and mi R-106 b expression with age, but not with other clinicopathological features, such as gender, tumor differentiation, stage and lymphatic metastasis. Further analysis showed that, in discriminating GC patients from healthy controls, mi R-17 could yield a receiver-operating characteristic(ROC) area under the curve(AUC) of 0.879 with 80.6% sensitivity and 87.5% specificity and mi R-106 b could yield an AUC of 0.856 with 75.0% sensitivity and 92.5% specificity. The combined AUC of mi R-17 and mi R-106 b was 0.913 with 83.3% sensitivity and 87.5% specificity. Collectively, these data suggest that detection of serum mi R-17 and mi R-106 b levels should be further evaluated as novel non-invasive biomarkers in early GC detection and surveillance of disease progression. |
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ISSN: | 1000-9604 1993-0631 |