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Circulating Biomarkers for Cancer Detection: Could Salivary microRNAs Be an Opportunity for Ovarian Cancer Diagnostics? Biomedicines 2023; 11:biomedicines11030652. [PMID: 36979630 PMCID: PMC10044752 DOI: 10.3390/biomedicines11030652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/02/2023] [Accepted: 02/16/2023] [Indexed: 02/24/2023] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs with the crucial regulatory functions of gene expression at post-transcriptional level, detectable in cell and tissue extracts, and body fluids. For their stability in body fluids and accessibility to sampling, circulating miRNAs and changes of their concentration may represent suitable disease biomarkers, with diagnostic and prognostic relevance. A solid literature now describes the profiling of circulating miRNA signatures for several tumor types. Among body fluids, saliva accurately reflects systemic pathophysiological conditions, representing a promising diagnostic resource for the future of low-cost screening procedures for systemic diseases, including cancer. Here, we provide a review of literature about miRNAs as potential disease biomarkers with regard to ovarian cancer (OC), with an excursus about liquid biopsies, and saliva in particular. We also report on salivary miRNAs as biomarkers in oncological conditions other than OC, as well as on OC biomarkers other than miRNAs. While the clinical need for an effective tool for OC screening remains unmet, it would be advisable to combine within a single diagnostic platform, the tools for detecting patterns of both protein and miRNA biomarkers to provide the screening robustness that single molecular species separately were not able to provide so far.
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Manasa G, Mascarenhas RJ, Shetti NP, Malode SJ, Aminabhavi TM. Biomarkers for Early Diagnosis of Ovarian Carcinoma. ACS Biomater Sci Eng 2022; 8:2726-2746. [PMID: 35762531 DOI: 10.1021/acsbiomaterials.2c00390] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The leading cause of gynecological cancer-related morbidity and mortality is ovarian cancer (OC), which is dubbed a silent killer. Currently, OC is a target of intense biomarker research, because it is often not discovered until the disease is advanced. The goal of OC research is to develop effective tests using biomarkers that can detect the disease at the earliest stages, which would eventually decrease the mortality, thereby preventing recurrence. Therefore, there is a pressing need to revisit the existing biomarkers to recognize the potential biomarkers that can lead to efficient predictors for the OC diagnosis. This Perspective covers an update on the currently available biomarkers used in the triaging of OC to gain certain insights into the potential role of these biomarkers and their estimation that are crucial to the understanding of neoplasm progression, diagnostics, and therapy.
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Affiliation(s)
- G Manasa
- Electrochemistry Research Group, St. Joseph's College, Lalbagh Road, Bangalore - 560027, Karnataka, India
| | - Ronald J Mascarenhas
- Electrochemistry Research Group, St. Joseph's College, Lalbagh Road, Bangalore - 560027, Karnataka, India
| | - Nagaraj P Shetti
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
| | - Shweta J Malode
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
| | - Tejraj M Aminabhavi
- Department of Chemistry, School of Advanced Sciences, KLE Technological University, Vidhyanagar, Hubballi - 580031, Karnataka, India
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Rapado-González Ó, Martínez-Reglero C, Salgado-Barreira Á, Takkouche B, López-López R, Suárez-Cunqueiro MM, Muinelo-Romay L. Salivary biomarkers for cancer diagnosis: a meta-analysis. Ann Med 2020; 52:131-144. [PMID: 32056455 PMCID: PMC7877992 DOI: 10.1080/07853890.2020.1730431] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Background: Saliva represents a promising non-invasive source of novel biomarkers for diagnosis and prognosis cancer. This meta-analysis evaluates the diagnostic value of salivary biomarkers for detection of malignant non-oral tumours to better define the value of saliva as an alternative liquid biopsy.Materials and methods: We performed a systematic review and meta-analysis. PubMed, Embase, LILACS and the Cochrane Library were searched to identify articles that examined the potential of salivary biomarkers for the diagnosis of malignant non-oral tumours. To assess the overall accuracy, we calculated the diagnostic odds ratio (DOR), area under hierarchical summary receiver operating characteristic (AUC) curve, sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR) using a random- or fixed-effects model. Heterogeneity and publication bias were assessed. Statistical tests were two-sided.Results: One hundred fifty-five study units from 29 articles with 11,153 subjects were included. The pooled sensitivity, specificity, PLR, NLR, DOR and AUC were 0.76 (95% confidence intervals (CI), 0.74-0.77), 0.76 (95% CI, 0.75-0.77), 3.22 (95% CI, 2.92-3.55), 0.31 (95% CI, 0.28-0.34), 13.42 (95% CI, 12.28-15.96) and 0.85 (95% CI, 0.84-0.87), respectively.Conclusion: Salivary biomarkers may be potentially used for non-invasive diagnosis of malignant non-oral tumours.Key messagesThis meta-analysis evaluates the diagnostic value of salivary biomarkers for detection of malignant non-oral tumours to better define the role of saliva as an alternative liquid biopsy.Salivary biomarkers showed 85% accuracy for cancer distant to the oral cavity.Saliva represents a promising non-invasive source of novel biomarkers in cancer.
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Affiliation(s)
- Óscar Rapado-González
- Department of Surgery and Medical-Surgical Specialties, Medicine and Dentistry School, University of Santiago de Compostela, Santiago de Compostela, Spain.,Liquid Biopsy Analysis Unit, Translational Medical Oncology (Oncomet), Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Ángel Salgado-Barreira
- Methodology and Statistics Unit, Galicia Sur Health Research Institute (IISGS), Vigo, Spain
| | - Bahi Takkouche
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Santiago de Compostela, Spain
| | - Rafael López-López
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.,Translational Medical Oncology (Oncomet), Health Research Foundation Institute of Santiago (IDIS,), Complexo Hospitalario Universitario de Santiago de Compostela (SERGAS), Santiago de Compostela, Spain
| | - María Mercedes Suárez-Cunqueiro
- Department of Surgery and Medical-Surgical Specialties, Medicine and Dentistry School, University of Santiago de Compostela, Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.,Oral Sciences Research Group, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
| | - Laura Muinelo-Romay
- Liquid Biopsy Analysis Unit, Translational Medical Oncology (Oncomet), Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
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