Literature DB >> 21704610

Detection of circulating tumor cells in peripheral blood from patients with gastric cancer using piRNAs as markers.

Long Cui1, Yanru Lou2, Xinjun Zhang3, Hui Zhou1, Hongxia Deng1, Haojun Song1, Xiuchong Yu1, Bingxiu Xiao4, Weihua Wang3, Junming Guo5.   

Abstract

OBJECTIVE: To investigate the feasibility of detecting circulating cancer cells in peripheral blood from gastric cancer patients using Piwi-interacting RNAs (piRNAs) as markers. DESIGN AND METHODS: Real-time quantitative reverse transcription-polymerase chain reaction was used to analyze piR-651 and piR-823 levels in the peripheral blood of 93 patients with gastric cancer and 32 healthy volunteers. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic values.
RESULTS: The peripheral blood levels of piR-651 and piR-823 in the patients with gastric cancer were significantly lower than those from controls (P<0.001). The piR-651 level in gastric adenocarcinoma was higher than that in gastric signet ring cell carcinoma (P = 0.003). The piR-823 level was positively associated with tumor-node-metastasis stage (P = 0.027) and distant metastasis (P = 0.026). The areas under the ROC curve were 0.841, 0.812 and 0.860 for piR-651, piR-823 and the combination, respectively.
CONCLUSIONS: piRNAs may be valuable biomarkers for detecting circulating gastric cancer cells.
Copyright © 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21704610     DOI: 10.1016/j.clinbiochem.2011.06.004

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  72 in total

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Authors:  Marios A Diamantopoulos; Panagiotis Tsiakanikas; Andreas Scorilas
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8.  Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection.

Authors:  Tianwen Li; Yongfu Shao; Liyun Fu; Yi Xie; Linwen Zhu; Weiliang Sun; Rui Yu; Bingxiu Xiao; Junming Guo
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Authors:  Weikang Zhang; Hongliang Liu; Jieyun Yin; Wenting Wu; Dakai Zhu; Christopher I Amos; Shenying Fang; Jeffrey E Lee; Yi Li; Jiali Han; Qingyi Wei
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