Literature DB >> 23575476

Discovery and prevalidation of salivary extracellular microRNA biomarkers panel for the noninvasive detection of benign and malignant parotid gland tumors.

Johannes H Matse1, Janice Yoshizawa, Xiaoyan Wang, David Elashoff, Jan G M Bolscher, Enno C I Veerman, Elisabeth Bloemena, David T W Wong.   

Abstract

PURPOSE: This study was conducted to explore the differences in salivary microRNA (miRNA) profiles between patients with malignant or benign parotid gland tumors as a potential preoperative diagnostic tool of tumors in the salivary glands. EXPERIMENTAL
DESIGN: Whole saliva samples from patients with malignant (n = 38) or benign (n = 29) parotid gland tumors were obtained from the Salivary Gland Tumor Biorepository (SGTB). After total RNA isolation, human miRNA cards were used for miRNA profiling. The differential miRNA expression was analyzed using two-sided Wilcoxon test. Quantitative real-time PCR (qRT-PCR) was used to validate selected miRNAs in an independent sample set. Receiver-operating characteristics curve and probability of malignancy was exploited to evaluate the diagnostic power of the validated miRNAs.
RESULTS: With miRNA profiling, 57 of 750 investigated miRNAs were differently expressed, of which 54 showed higher miRNA expression in samples from patients with malignant tumors than those from patients with benign tumors. Validating the expression in an independent sample set of 9 miRNAs revealed indeed higher expression of miRNAs in malignant samples compared with benign samples. The expression of 6 validated miRNAs was statistically significantly different between the two groups (P < 0.05). A four miRNA combination was able to discriminate between saliva samples from patients with malignant tumors from those of patients with benign parotid gland tumors (sensitivity 69%, specificity 95%).
CONCLUSIONS: Salivary miRNA profiles differ in saliva from patients with malignant from saliva from patients with a benign parotid gland tumor. These preliminary results are promising to develop a noninvasive diagnostic tool for diagnosing tumors in the salivary glands. ©2013 AACR

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Year:  2013        PMID: 23575476     DOI: 10.1158/1078-0432.CCR-12-3505

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  24 in total

1.  Altered expression of apoptosis-regulating miRNAs in salivary gland tumors suggests their involvement in salivary gland tumorigenesis.

Authors:  Bianca de Cássia Troncarelli de Campos Parra Flores; Silvia Vanessa Lourenço; Aline Santos Damascena; Luiz Paulo Kowaslki; Fernando Augusto Soares; Cláudia Malheiros Coutinho-Camillo
Journal:  Virchows Arch       Date:  2016-12-15       Impact factor: 4.064

2.  The complexity of oral physiology and its impact on salivary diagnostics.

Authors:  E J Helmerhorst; C Dawes; F G Oppenheim
Journal:  Oral Dis       Date:  2017-10-25       Impact factor: 3.511

3.  Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Authors:  Andrew J Rosato; Xiaochun Chen; Yoshiaki Tanaka; Lindsay A Farrer; Henry R Kranzler; Yaira Z Nunez; David C Henderson; Joel Gelernter; Huiping Zhang
Journal:  Epigenomics       Date:  2019-05-29       Impact factor: 4.778

4.  Sperm associated antigen 9 (SPAG9) expression and humoral response in benign and malignant salivary gland tumors.

Authors:  Sumit Agarwal; Deepak Parashar; Namita Gupta; Nirmala Jagadish; Alok Thakar; Vaishali Suri; Rajive Kumar; Anju Gupta; Abdul S Ansari; Nirmal Kumar Lohiya; Anil Suri
Journal:  Oncoimmunology       Date:  2014-12-02       Impact factor: 8.110

Review 5.  Salivary diagnostics using a portable point-of-service platform: a review.

Authors:  Prarthana Khanna; David R Walt
Journal:  Clin Ther       Date:  2015-02-27       Impact factor: 3.393

6.  Ratio-Based Method To Identify True Biomarkers by Normalizing Circulating ncRNA Sequencing and Quantitative PCR Data.

Authors:  Youping Deng; Yong Zhu; Hongwei Wang; Vedbar S Khadka; Ling Hu; Junmei Ai; Yuhong Dou; Yan Li; Shengming Dai; Christopher E Mason; Yunliang Wang; Wei Jia; Jicai Zhang; Gang Huang; Bin Jiang
Journal:  Anal Chem       Date:  2019-04-30       Impact factor: 6.986

Review 7.  Saliva-Exosomics in Cancer: Molecular Characterization of Cancer-Derived Exosomes in Saliva.

Authors:  Taichiro Nonaka; David T W Wong
Journal:  Enzymes       Date:  2017-10-09

8.  Noncoding RNAs in human saliva as potential disease biomarkers.

Authors:  Xianzhi Lin; Hsien-Chun Lo; David T W Wong; Xinshu Xiao
Journal:  Front Genet       Date:  2015-05-07       Impact factor: 4.599

9.  Non-invasive screening for Alzheimer's disease by sensing salivary sugar using Drosophila cells expressing gustatory receptor (Gr5a) immobilized on an extended gate ion-sensitive field-effect transistor (EG-ISFET) biosensor.

Authors:  Hui-Chong Lau; In-Kyu Lee; Pan-Woo Ko; Ho-Won Lee; Jeung-Soo Huh; Won-Ju Cho; Jeong-Ok Lim
Journal:  PLoS One       Date:  2015-02-25       Impact factor: 3.240

Review 10.  The circulating transcriptome as a source of non-invasive cancer biomarkers: concepts and controversies of non-coding and coding RNA in body fluids.

Authors:  Marta Fernandez-Mercado; Lorea Manterola; Erika Larrea; Ibai Goicoechea; María Arestin; María Armesto; David Otaegui; Charles H Lawrie
Journal:  J Cell Mol Med       Date:  2015-06-27       Impact factor: 5.310

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