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Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review

As the fourth most diagnosed cancer, cervical cancer (CC) is one of the major causes of cancer-related mortality affecting females globally, particularly when diagnosed at advanced stage. Discoveries of CC biomarkers pave the road to precision medicine for better patient outcomes. High throughput om...

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Autores principales: Arip, Masita, Tan, Lee Fang, Jayaraj, Rama, Abdullah, Maha, Rajagopal, Mogana, Selvaraja, Malarvili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509511/
https://www.ncbi.nlm.nih.gov/pubmed/36152065
http://dx.doi.org/10.1007/s12672-022-00551-9
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author Arip, Masita
Tan, Lee Fang
Jayaraj, Rama
Abdullah, Maha
Rajagopal, Mogana
Selvaraja, Malarvili
author_facet Arip, Masita
Tan, Lee Fang
Jayaraj, Rama
Abdullah, Maha
Rajagopal, Mogana
Selvaraja, Malarvili
author_sort Arip, Masita
collection PubMed
description As the fourth most diagnosed cancer, cervical cancer (CC) is one of the major causes of cancer-related mortality affecting females globally, particularly when diagnosed at advanced stage. Discoveries of CC biomarkers pave the road to precision medicine for better patient outcomes. High throughput omics technologies, characterized by big data production further accelerate the process. To date, various CC biomarkers have been discovered through the advancement in technologies. Despite, very few have successfully translated into clinical practice due to the paucity of validation through large scale clinical studies. While vast amounts of data are generated by the omics technologies, challenges arise in identifying the clinically relevant data for translational research as analyses of single-level omics approaches rarely provide causal relations. Integrative multi-omics approaches across different levels of cellular function enable better comprehension of the fundamental biology of CC by highlighting the interrelationships of the involved biomolecules and their function, aiding in identification of novel integrated biomarker profile for precision medicine. Establishment of a worldwide Early Detection Research Network (EDRN) system helps accelerating the pace of biomarker translation. To fill the research gap, we review the recent research progress on CC biomarker development from the application of high throughput omics technologies with sections covering genomics, transcriptomics, proteomics, and metabolomics.
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spelling pubmed-95095112022-09-26 Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review Arip, Masita Tan, Lee Fang Jayaraj, Rama Abdullah, Maha Rajagopal, Mogana Selvaraja, Malarvili Discov Oncol Review As the fourth most diagnosed cancer, cervical cancer (CC) is one of the major causes of cancer-related mortality affecting females globally, particularly when diagnosed at advanced stage. Discoveries of CC biomarkers pave the road to precision medicine for better patient outcomes. High throughput omics technologies, characterized by big data production further accelerate the process. To date, various CC biomarkers have been discovered through the advancement in technologies. Despite, very few have successfully translated into clinical practice due to the paucity of validation through large scale clinical studies. While vast amounts of data are generated by the omics technologies, challenges arise in identifying the clinically relevant data for translational research as analyses of single-level omics approaches rarely provide causal relations. Integrative multi-omics approaches across different levels of cellular function enable better comprehension of the fundamental biology of CC by highlighting the interrelationships of the involved biomolecules and their function, aiding in identification of novel integrated biomarker profile for precision medicine. Establishment of a worldwide Early Detection Research Network (EDRN) system helps accelerating the pace of biomarker translation. To fill the research gap, we review the recent research progress on CC biomarker development from the application of high throughput omics technologies with sections covering genomics, transcriptomics, proteomics, and metabolomics. Springer US 2022-09-24 /pmc/articles/PMC9509511/ /pubmed/36152065 http://dx.doi.org/10.1007/s12672-022-00551-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Arip, Masita
Tan, Lee Fang
Jayaraj, Rama
Abdullah, Maha
Rajagopal, Mogana
Selvaraja, Malarvili
Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title_full Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title_fullStr Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title_full_unstemmed Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title_short Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
title_sort exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509511/
https://www.ncbi.nlm.nih.gov/pubmed/36152065
http://dx.doi.org/10.1007/s12672-022-00551-9
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