Literature DB >> 25344985

Ovarian cancer biomarkers: current state and future implications from high-throughput technologies.

Felix Leung, Eleftherios P Diamandis, Vathany Kulasingam.   

Abstract

Ovarian cancer remains the most lethal gynecological malignancy worldwide and survival rates have remained unchanged in spite of medical advancements. Much research has been dedicated to the identification of novel biomarkers for this deadly disease, yet it has not been until recently that a few serum-based tests have been added to carbohydrate antigen 125 as Food and Drug Administration-approved tests for ovarian cancer. This lack of success in identifying clinically relevant biomarkers has been largely attributed to poor study design and bias leading to false discoveries or identification of second-tier biomarkers. Fortunately, a better understanding of the guidelines used to assess the clinical utility of a biomarker and the various phases of biomarker development will aid in avoiding such biases. As well, advances in high-throughput technologies have caused a renewed interest in biomarker discovery for ovarian cancer using alternative strategies such as targeted sequencing and proteomics. In this chapter, we will review the current state of ovarian cancer biomarker research with a focus on diagnostic serum markers. Furthermore, we will examine the standard practice guidelines' criteria for acceptance of a biomarker into the clinic as well as emerging high-throughput approaches to the discovery of novel ovarian cancer biomarkers.

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Year:  2014        PMID: 25344985

Source DB:  PubMed          Journal:  Adv Clin Chem        ISSN: 0065-2423            Impact factor:   5.394


  7 in total

Review 1.  Future microfluidic and nanofluidic modular platforms for nucleic acid liquid biopsy in precision medicine.

Authors:  Ana Egatz-Gomez; Ceming Wang; Flora Klacsmann; Zehao Pan; Steve Marczak; Yunshan Wang; Gongchen Sun; Satyajyoti Senapati; Hsueh-Chia Chang
Journal:  Biomicrofluidics       Date:  2016-05-05       Impact factor: 2.800

Review 2.  Proteomics in cancer biomarkers discovery: challenges and applications.

Authors:  Reem M Sallam
Journal:  Dis Markers       Date:  2015-04-27       Impact factor: 3.434

3.  Weekly cisplatin for the treatment of patients with ovarian cancer: A protocol for a systematic review of randomized controlled trial.

Authors:  Dan-Feng Zhang; Peng-Hui Dou; Dong-Xu Zhao; Jing Li; Yu-Hong Hu
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

4.  SPME-LC/MS-based serum metabolomic phenotyping for distinguishing ovarian cancer histologic subtypes: a pilot study.

Authors:  Mariola Olkowicz; Hernando Rosales-Solano; Vathany Kulasingam; Janusz Pawliszyn
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

5.  6-lncRNA Assessment Model for Monitoring and Prognosis of HER2-Positive Breast Cancer: Based on Transcriptome Data.

Authors:  Xiaoming Zhang; Haiyan Zhang; Jie Li; Xiaoran Ma; Zhengguo He; Cun Liu; Chundi Gao; Huayao Li; Xue Wang; Jibiao Wu
Journal:  Pathol Oncol Res       Date:  2021-04-13       Impact factor: 3.201

6.  Comprehensive and quantitative proteomic analyses of zebrafish plasma reveals conserved protein profiles between genders and between zebrafish and human.

Authors:  Caixia Li; Xing Fei Tan; Teck Kwang Lim; Qingsong Lin; Zhiyuan Gong
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

7.  Establishment of a SVM classifier to predict recurrence of ovarian cancer.

Authors:  Jinting Zhou; Lin Li; Liling Wang; Xiaofang Li; Hui Xing; Li Cheng
Journal:  Mol Med Rep       Date:  2018-08-08       Impact factor: 2.952

  7 in total

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