Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma

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Title:	Salivary transcriptomic biomarkers for detection of ovarian cancer: for serous papillary adenocarcinoma
Authors:	李宇翔;Lee, Yu-Hsiang;Kim, Jae Hoon;Zhou, Hui;Kim, Bo Wook;Wong, David T.
Contributors:	生醫理工學院生醫科學與工程學系
Keywords:	Adenocarcinoma, Papillary - diagnosis;Adenocarcinoma, Papillary - genetics;Adult;Aged;Biological and medical sciences;Biomarkers, Tumor - analysis;Biomarkers, Tumor - genetics;Biomedical and Life Sciences;Biomedicine;Female;Female genital diseases;Gene Expression Profiling - methods;Gene Expression Regulation, Neoplastic;General aspects;Gynecology. Andrology. Obstetrics;Human Genetics;Humans;Internal Medicine;Medical sciences;Middle Aged;Models, Biological;Molecular Medicine;Original Article;Ovarian cancer;Ovarian Neoplasms - diagnosis;Ovarian Neoplasms - genetics;RNA, Messenger - genetics;Saliva - metabolism;Sensitivity and Specificity;Transcriptome;Tumors
Date:	2012-04-01
Issue Date:	2026-04-23 11:20:30 (UTC+8)
Publisher:	Springer Verlag;Berlin/Heidelberg: Springer-Verlag
Abstract:	摘要： Ovarian cancer is the most lethal gynecological cancer due to lack of clear symptom and reliable screening biomarker in the early stage. The capability to detect the initiation of malignancy with a sensitive and effective approach is one of the most desirable goals for ovarian cancer therapy. In this study, we spearheaded noninvasive detection of ovarian cancer by salivary transcriptomic biomarkers, and evaluated the clinical utilities of discovered biomarkers using a clinical case–control study. To find salivary mRNA biomarkers, salivary transcriptomes in 11 ovarian cancer patients and 11 matched controls were profiled by Affymetrix HG-U133-Plus-2.0 array. The biomarker candidates selected from the microarray results were then subjected to clinical validation by RT-qPCR using an independent sample cohort including 21 ovarian cancer patients and 35 healthy controls. Seven downregulated mRNA biomarkers were validated. The logistic regression model revealed the combination of five validated biomarkers (AGPAT1, B2M, BASP2, IER3, and IL1B) can significantly discriminate ovarian cancer patients ( n = 21) from the healthy controls ( n = 35), yielding a receiver operating characteristic plot, area under the curve value of 0.909 with 85.7% sensitivity and 91.4% specificity. In summary, we have demonstrated that the RNA signatures in saliva could serve as biomarkers for detection of ovarian cancer with high sensitivity and specificity. This emerging approach with high-throughput, noninvasive, and effective advantages provides a feasible means for detection of systemic cancer, and opens a new avenue for early disease detection. 其他題名： J Mol Med 其他題名： J Mol Med (Berl) 出版者： Berlin/Heidelberg: Springer-Verlag 出版日期： 2012-04-01 出處： Journal of molecular medicine (Berlin, Germany), 2012-04, Vol.90 (4), p.427-434 版權： Springer-Verlag 2011 版權： 2015 INIST-CNRS 版權： Springer-Verlag 2012 識別號： ISSN: 0946-2716 識別號： ISSN: 1432-1440 識別號： EISSN: 1432-1440 識別號： DOI: 10.1007/s00109-011-0829-0 識別號： PMID: 22095100
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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