Identification of hsa-miR-335 as a prognostic signature in gastric cancer.

BACKGROUND: Gastric cancer (GC) is one of the most common malignancy and primary cause of death in Chinese cancer patients. Recurrence is a major factor leading to treatment failure and low level of 5-year survival rate in GC patients following surgical resection. Therefore, identification of biomar...

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Main Authors: Zhi Yan, Yimin Xiong, Weitian Xu, Juan Gao, Yi Cheng, Zhigang Wang, Fang Chen, Guorong Zheng
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3388997?pdf=render
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spelling doaj-fdaae79a0be448edbc0eac1880fe48fa2020-11-25T02:39:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0177e4003710.1371/journal.pone.0040037Identification of hsa-miR-335 as a prognostic signature in gastric cancer.Zhi YanYimin XiongWeitian XuJuan GaoYi ChengZhigang WangFang ChenGuorong ZhengBACKGROUND: Gastric cancer (GC) is one of the most common malignancy and primary cause of death in Chinese cancer patients. Recurrence is a major factor leading to treatment failure and low level of 5-year survival rate in GC patients following surgical resection. Therefore, identification of biomarkers with potential in predicting recurrence risk is the key problem of the prognosis in GC patients. PATIENTS AND METHODS: A total of 74 GC patients were selected for systematic analysis, consisting of 31 patients with recurrence and 43 patients without recurrence. Firstly, miRNAs microarray and bioinformatics methods were used to characterize differential expressed miRNAs from primary tumor samples. Following, we used a ROC method to select signature with best sensitivity and specificity. Finally, we validated the signature in GC samples (frozen fresh and blood samples) using quantitative PCR. RESULTS: We have identified 12 differential miRNAs including 7 up-regulated and 5 down-regulated miRNAs in recurrence group. Using ROC method, we further ascertained hsa-miR-335 as a signature to recognize recurrence and non-recurrence cases in the training samples. Moreover, we validated this signature using quantitative PCR method in 64 test samples with consistent result with training set. A high frequency recurrence and poor survival were observed in GC cases with high level of hsa-miR-335 (P<0.001). In addition, we evaluated that hsa-miR-335 were involved in regulating target genes in several oncogenic signal-pathways, such as p53, MAPK, TGF-β, Wnt, ERbB, mTOR, Toll-like receptor and focal adhesion. CONCLUSION: Our results indicate that the hsa-miR-335 has the potential to recognize the recurrence risk and relate to the prognosis of GC patients.http://europepmc.org/articles/PMC3388997?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Zhi Yan
Yimin Xiong
Weitian Xu
Juan Gao
Yi Cheng
Zhigang Wang
Fang Chen
Guorong Zheng
spellingShingle Zhi Yan
Yimin Xiong
Weitian Xu
Juan Gao
Yi Cheng
Zhigang Wang
Fang Chen
Guorong Zheng
Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
PLoS ONE
author_facet Zhi Yan
Yimin Xiong
Weitian Xu
Juan Gao
Yi Cheng
Zhigang Wang
Fang Chen
Guorong Zheng
author_sort Zhi Yan
title Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
title_short Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
title_full Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
title_fullStr Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
title_full_unstemmed Identification of hsa-miR-335 as a prognostic signature in gastric cancer.
title_sort identification of hsa-mir-335 as a prognostic signature in gastric cancer.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description BACKGROUND: Gastric cancer (GC) is one of the most common malignancy and primary cause of death in Chinese cancer patients. Recurrence is a major factor leading to treatment failure and low level of 5-year survival rate in GC patients following surgical resection. Therefore, identification of biomarkers with potential in predicting recurrence risk is the key problem of the prognosis in GC patients. PATIENTS AND METHODS: A total of 74 GC patients were selected for systematic analysis, consisting of 31 patients with recurrence and 43 patients without recurrence. Firstly, miRNAs microarray and bioinformatics methods were used to characterize differential expressed miRNAs from primary tumor samples. Following, we used a ROC method to select signature with best sensitivity and specificity. Finally, we validated the signature in GC samples (frozen fresh and blood samples) using quantitative PCR. RESULTS: We have identified 12 differential miRNAs including 7 up-regulated and 5 down-regulated miRNAs in recurrence group. Using ROC method, we further ascertained hsa-miR-335 as a signature to recognize recurrence and non-recurrence cases in the training samples. Moreover, we validated this signature using quantitative PCR method in 64 test samples with consistent result with training set. A high frequency recurrence and poor survival were observed in GC cases with high level of hsa-miR-335 (P<0.001). In addition, we evaluated that hsa-miR-335 were involved in regulating target genes in several oncogenic signal-pathways, such as p53, MAPK, TGF-β, Wnt, ERbB, mTOR, Toll-like receptor and focal adhesion. CONCLUSION: Our results indicate that the hsa-miR-335 has the potential to recognize the recurrence risk and relate to the prognosis of GC patients.
url http://europepmc.org/articles/PMC3388997?pdf=render
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