Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review
Abstract 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 thro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2022-09-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-022-00551-9 |
| _version_ | 1811208593438932992 |
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| author | Masita Arip Lee Fang Tan Rama Jayaraj Maha Abdullah Mogana Rajagopal Malarvili Selvaraja |
| author_facet | Masita Arip Lee Fang Tan Rama Jayaraj Maha Abdullah Mogana Rajagopal Malarvili Selvaraja |
| author_sort | Masita Arip |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T04:24:11Z |
| format | Article |
| id | doaj.art-2776c9488f1248128957c41dd570218a |
| institution | Directory Open Access Journal |
| issn | 2730-6011 |
| language | English |
| last_indexed | 2024-04-12T04:24:11Z |
| publishDate | 2022-09-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj.art-2776c9488f1248128957c41dd570218a2022-12-22T03:48:07ZengSpringerDiscover Oncology2730-60112022-09-0113112510.1007/s12672-022-00551-9Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a reviewMasita Arip0Lee Fang Tan1Rama Jayaraj2Maha Abdullah3Mogana Rajagopal4Malarvili Selvaraja5Allergy & Immunology Research Centre, Institute for Medical Research, National Institute of HealthDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI UniversityCharles Darwin UniversityImmunology Unit, Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra MalaysiaDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI UniversityDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI UniversityAbstract 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.https://doi.org/10.1007/s12672-022-00551-9BiomarkerCervical cancerOmicsGenomicsTranscriptomicsProteomics |
| spellingShingle | Masita Arip Lee Fang Tan Rama Jayaraj Maha Abdullah Mogana Rajagopal Malarvili Selvaraja Exploration of biomarkers for the diagnosis, treatment and prognosis of cervical cancer: a review Discover Oncology Biomarker Cervical cancer Omics Genomics Transcriptomics Proteomics |
| 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 | Biomarker Cervical cancer Omics Genomics Transcriptomics Proteomics |
| url | https://doi.org/10.1007/s12672-022-00551-9 |
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