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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/50168
Title: Urinary biomarkers for the diagnosis of cervical cancer by quantitative label‑free mass spectrometry analysis
Authors: Daranee Chokchaichamnankit
Kamolwan Watcharatanyatip
Pantipa Subhasitanont
Churat Weeraphan
Siriporn Keeratichamroen
Narongrit Sritana
Nuttavut Kantathavorn
Penchatr Diskul Na Ayudthaya
Kittirat Saharat
Juthamard Chantaraamporn
Chris Verathamjamras
Natacha Phoolcharoen
Kriangpol Wiriyaukaradecha
Nilubol Monique Paricharttanakul
Wandee Udomchaiprasertkul
Thaniya Sricharunrat
Chirayu Auewarakul
Jisnuson Svasti
Chantragan Srisomsap
Chulabhorn Research Institute
Faculty of Medicine, Siriraj Hospital, Mahidol University
Prince of Songkla University
Woman Health Center
Research and International Relations Division
Chulabhorn Royal Academy
Chulabhorn Hospital
Chulabhorn Graduate Institute
Keywords: Biochemistry, Genetics and Molecular Biology;Medicine
Issue Date: 1-Jun-2019
Citation: Oncology Letters. Vol.17, No.6 (2019), 5453-5468
Abstract: © 2019, Spandidos Publications. All rights reserved. Due to the invasive procedure associated with Pap smears for diagnosing cervical cancer and the conservative culture of developing countries, identifying less invasive biomarkers is of great interest. Quantitative label-free mass spectrometry was performed to identify potential biomarkers in the urine samples of patients with cervical cancer. This technique was used to study the differential expression of urinary proteomes between normal individuals and cancer patients. The alterations in the levels of urinary proteomes in normal and cancer patients were analyzed by Progenesis label-free software and the results revealed that 60 proteins were upregulated while 73 proteins were downregulated in patients with cervical cancer. This method could enrich high molecular weight proteins from 100 kDa. The protein-protein interactions were obtained by Search Tool for the Retrieval of Interacting Genes/Proteins analysis and predicted the biological pathways involving various functions including cell-cell adhesion, blood coagulation, metabolic processes, stress response and the regulation of morphogenesis. Two notable upregulated urinary proteins were leucine-rich α-2-glycoprotein (LRG1) and isoform-1 of multimerin-1 (MMRN1), while the 3 notable downregulated proteins were S100 calcium-binding protein A8 (S100A8), serpin B3 (SERPINB3) and cluster of differentiation-44 antigen (CD44). The validation of these 5 proteins was performed by western blot analysis and the biomarker sensitivity of these proteins was analyzed individually and in combination with receiver operator characteristic curve (ROC) analysis. Quantitative mass spectrometry analysis may allow for the identification of urinary proteins of high molecular weight. The proteins MMRN1 and LRG1 were presented, for the first time, to be highly expressed urinary proteins in cervical cancer. ROC analysis revealed that LRG1 and SERPINB3 could be individually used, and these 5 proteins could also be combined, to detect the occurrence of cervical cancer.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/50168
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065795869&origin=inward
ISSN: 17921082
17921074
Appears in Collections:Scopus 2019

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