NDLI: A novel saliva-based microRNA biomarker panel to detect head and neck cancers

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Gefitinib induces cytoplasmic translocation of the CDK inhibitor p27 and its binding to a cleaved intermediate of caspase 8 in non-small cell lung cancer cells

Cellular Oncology : Volume 37, Issue 4, August 2014

Cellular Oncology : Volume 37, Issue 3, June 2014

Cellular Oncology : Volume 37, Issue 2, April 2014

Cellular Oncology : Volume 37, Issue 1, February 2014

Cellular Oncology : Volume 36

Cellular Oncology : Volume 35

Cellular Oncology : Volume 34

A novel saliva-based microRNA biomarker panel to detect head and neck cancers

Content Provider	Springer Nature Link
Author	Salazar, Carolina Nagadia, Rahul Pandit, Pratibala Cooper White, Justin Banerjee, Nilanjana Dimitrova, Nevenka Coman, William B Punyadeera, Chamindie
Copyright Year	2014
Abstract	MicroRNAs (miRNAs) are known to play an important role in cancer development by post-transcriptionally affecting the expression of critical genes. The aims of this study were two-fold: (i) to develop a robust method to isolate miRNAs from small volumes of saliva and (ii) to develop a panel of saliva-based diagnostic biomarkers for the detection of head and neck squamous cell carcinoma (HNSCC).Five differentially expressed miRNAs were selected from miScript™ miRNA microarray data generated using saliva from five HNSCC patients and five healthy controls. Their differential expression was subsequently confirmed by RT-qPCR using saliva samples from healthy controls (n = 56) and HNSCC patients (n = 56). These samples were divided into two different cohorts, i.e., a first confirmatory cohort (n = 21) and a second independent validation cohort (n = 35), to narrow down the miRNA diagnostic panel to three miRNAs: miR-9, miR-134 and miR-191. This diagnostic panel was independently validated using HNSCC miRNA expression data from The Cancer Genome Atlas (TCGA), encompassing 334 tumours and 39 adjacent normal tissues. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic capacity of the panel.On average 60 ng/μL miRNA was isolated from 200 μL of saliva. Overall a good correlation was observed between the microarray data and the RT-qPCR data. We found that miR-9 (P <0.0001), miR-134 (P <0.0001) and miR-191 (P <0.001) were differentially expressed between saliva from HNSCC patients and healthy controls, and that these miRNAs provided a good discriminative capacity with area under the curve (AUC) values of 0.85 (P <0.0001), 0.74 (P < 0.001) and 0.98 (P < 0.0001), respectively. In addition, we found that the salivary miRNA data showed a good correlation with the TCGA miRNA data, thereby providing an independent validation.We show that we have developed a reliable method to isolate miRNAs from small volumes of saliva, and that the saliva-derived miRNAs miR-9, miR-134 and miR-191 may serve as novel biomarkers to reliably detect HNSCC.
Starting Page	331
Ending Page	338
Page Count	8
File Format	PDF
ISSN	22113428
Journal	Cellular Oncology
Volume Number	37
Issue Number	5
e-ISSN	22113436
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-08-26
Publisher Institution	International Society for Cellular Oncology
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Oral cancers MiRNA expression Non-invasive diagnostics The cancer genome atlas Cancer Research Biomedicine general Pathology Oncology
Content Type	Text
Resource Type	Article
Subject	Cancer Research Molecular Medicine Oncology

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