Literature DB >> 33257015

Candidate RNA biomarkers in biofluids for early diagnosis of ovarian cancer: A systematic review.

Eva Hulstaert1, Annelien Morlion2, Keren Levanon3, Jo Vandesompele4, Pieter Mestdagh5.   

Abstract

Ovarian cancer is often diagnosed in an advanced stage and is associated with a high mortality rate. It is assumed that early detection of ovarian cancer could improve patient outcomes. Unfortunately, effective screening methods for early diagnosis of ovarian cancer are still lacking. Extracellular RNAs circulating in human biofluids can reliably be measured and are emerging as potential biomarkers in cancer. In this systematic review, we present 75 RNA biomarkers detectable in human biofluids that have been studied for early diagnosis of ovarian cancer. The majority of these markers are microRNAs identified using RT-qPCR or microarrays in blood-based fluids. A handful of studies used RNA-sequencing and explored alternative fluids, such as urine and ascites. Candidate RNA biomarkers that were more abundant in biofluids of ovarian cancer patients compared to controls in at least two independent studies include miR-21, the miR-200 family, miR-205, miR-10a and miR-346. Amongst the markers confirmed to be lower in at least two studies are miR-122, miR-193a, miR-223, miR-126 and miR-106b. While these biomarkers show promising diagnostic potential, further validation is required before implementation in routine clinical care. Challenges related to biomarker validation and reflections on future perspectives to accelerate progress in this field are discussed.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnostic biomarkers; Liquid biopsy; Ovarian cancer; RNA; Transcriptomics

Mesh:

Substances:

Year:  2020        PMID: 33257015     DOI: 10.1016/j.ygyno.2020.11.018

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  7 in total

Review 1.  Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review.

Authors:  Juliane M Liberto; Sheng-Yin Chen; Ie-Ming Shih; Tza-Huei Wang; Tian-Li Wang; Thomas R Pisanic
Journal:  Cancers (Basel)       Date:  2022-06-11       Impact factor: 6.575

2.  Development of a Multiprotein Classifier for the Detection of Early Stage Ovarian Cancer.

Authors:  Kristin L M Boylan; Ashley Petersen; Timothy K Starr; Xuan Pu; Melissa A Geller; Robert C Bast; Karen H Lu; Ugo Cavallaro; Denise C Connolly; Kevin M Elias; Daniel W Cramer; Tanja Pejovic; Amy P N Skubitz
Journal:  Cancers (Basel)       Date:  2022-06-23       Impact factor: 6.575

Review 3.  Revisiting the miR-200 Family: A Clan of Five Siblings with Essential Roles in Development and Disease.

Authors:  Vignesh Sundararajan; Ulrike C Burk; Karolina Bajdak-Rusinek
Journal:  Biomolecules       Date:  2022-06-03

4.  Identification of biomarkers for the diagnosis and targets for therapy in patients with clear cell ovarian cancer: a systematic literature review.

Authors:  Holly Butler; Omar Saulat; Barbara-Ann Guinn
Journal:  Carcinogenesis       Date:  2022-04-25       Impact factor: 4.741

5.  Endoplasmic reticulum stress promotes the release of exosomal PD-L1 from head and neck cancer cells and facilitates M2 macrophage polarization.

Authors:  Yi Yuan; Pengfei Jiao; Zeyu Wang; Mengqi Chen; Hongming Du; Liang Xu; Juanyong Xu; Youjin Dai; Fu-Gen Wu; Yaqin Zhang; Heming Wu
Journal:  Cell Commun Signal       Date:  2022-01-28       Impact factor: 5.712

6.  Genome-Wide Identification and Validation of Gene Expression Biomarkers in the Diagnosis of Ovarian Serous Cystadenocarcinoma.

Authors:  Francesca Zalfa; Maria Grazia Perrone; Savina Ferorelli; Luna Laera; Ciro Leonardo Pierri; Anna Tolomeo; Vincenzo Dimiccoli; Giuseppe Perrone; Anna De Grassi; Antonio Scilimati
Journal:  Cancers (Basel)       Date:  2022-08-02       Impact factor: 6.575

7.  Effect of Rho GTPase activating protein 9 combined with preoperative ratio of platelet distribution width to platelet count on prognosis of patients with serous ovarian cancer.

Authors:  Yang Shen; Haibo Xu; Zhihong Guan; Mengmeng Lv; Tianye Qian; Yuzhong Wu
Journal:  Transl Cancer Res       Date:  2021-10       Impact factor: 1.241

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.