Literature DB >> 27268121

Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma.

Marta Szajnik1,2, Małgorzata Czystowska-Kuźmicz2, Esther Elishaev3, Theresa L Whiteside3,4.   

Abstract

INTRODUCTION: Ovarian cancer (OvCa) is among the most common types of cancer and is the leading cause of death from gynecological malignancies in western countries. Cancer biomarkers have a potential for improving the management of OvCa patients at every point from screening and detection, diagnosis, prognosis, follow up, response to therapy and outcome. AREAS COVERED: The literature search has indicated a number of candidate biomarkers have recently emerged that could facilitate the molecular definition of OvCa, providing information about prognosis and predicting response to therapy. These potentially promising biomarkers include immune cells and their products, tumor-derived exosomes, nucleic acids and epigenetic biomarkers. Expert commentary: Although most of the biomarkers available today require prospective validation, the development of noninvasive liquid biopsy-based monitoring promises to improve their utility for evaluations of prognosis, response to therapy and outcome in OvCa.

Entities:  

Keywords:  Ovarian carcinoma; exosomes; immune biomarkers; microRNAs; serum; tissue

Mesh:

Substances:

Year:  2016        PMID: 27268121      PMCID: PMC5010004          DOI: 10.1080/14737159.2016.1194758

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  187 in total

1.  Analysis of MLH1 and MSH2 expression in ovarian cancer before and after platinum drug-based chemotherapy.

Authors:  G Samimi; D Fink; N M Varki; A Husain; W J Hoskins; D S Alberts; S B Howell
Journal:  Clin Cancer Res       Date:  2000-04       Impact factor: 12.531

Review 2.  Cancer stem cells in solid tumors: an overview and new approaches for their isolation and characterization.

Authors:  Virginia Tirino; Vincenzo Desiderio; Francesca Paino; Alfredo De Rosa; Federica Papaccio; Marcella La Noce; Luigi Laino; Francesco De Francesco; Gianpaolo Papaccio
Journal:  FASEB J       Date:  2012-09-28       Impact factor: 5.191

3.  A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer.

Authors:  I Jacobs; D Oram; J Fairbanks; J Turner; C Frost; J G Grudzinskas
Journal:  Br J Obstet Gynaecol       Date:  1990-10

4.  Copy number deletion of RAD50 as predictive marker of BRCAness and PARP inhibitor response in BRCA wild type ovarian cancer.

Authors:  Min Zhang; Guoyan Liu; Fengxia Xue; Robert Edwards; Anil K Sood; Wei Zhang; Da Yang
Journal:  Gynecol Oncol       Date:  2016-04       Impact factor: 5.482

5.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

6.  Epigenetic suppression of the TGF-beta pathway revealed by transcriptome profiling in ovarian cancer.

Authors:  Noriomi Matsumura; Zhiqing Huang; Seiichi Mori; Tsukasa Baba; Shingo Fujii; Ikuo Konishi; Edwin S Iversen; Andrew Berchuck; Susan K Murphy
Journal:  Genome Res       Date:  2010-12-14       Impact factor: 9.043

7.  Quantification of total plasma cell-free DNA in ovarian cancer using real-time PCR.

Authors:  Aparna A Kamat; Anil K Sood; Dianne Dang; David M Gershenson; Joe L Simpson; Farideh Z Bischoff
Journal:  Ann N Y Acad Sci       Date:  2006-09       Impact factor: 5.691

8.  miR-29b expression is associated with disease-free survival in patients with ovarian serous carcinoma.

Authors:  Richard Flavin; Paul Smyth; Ciara Barrett; S Russell; Hannah Wen; Jianjun Wei; Alex Laios; Sharon O'Toole; M Ring; K Denning; J Li; S Aherne; D Sammarae; N A Aziz; A Alhadi; Sephen P Finn; M Loda; Sheppard B; Orla Sheils; John J O'Leary
Journal:  Int J Gynecol Cancer       Date:  2009-05       Impact factor: 3.437

9.  MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins.

Authors:  Kasey C Vickers; Brian T Palmisano; Bassem M Shoucri; Robert D Shamburek; Alan T Remaley
Journal:  Nat Cell Biol       Date:  2011-03-20       Impact factor: 28.824

10.  Identification of ovarian cancer metastatic miRNAs.

Authors:  Souriya Vang; Hsin-Ta Wu; Andrew Fischer; Daniel H Miller; Shannon MacLaughlan; Elijah Douglass; Lauren Comisar; Margaret Steinhoff; Colin Collins; Peter J S Smith; Laurent Brard; Alexander S Brodsky
Journal:  PLoS One       Date:  2013-03-12       Impact factor: 3.240

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  16 in total

1.  High-throughput assessment of the antibody profile in ovarian cancer ascitic fluids.

Authors:  Frank Antony; Cecilia Deantonio; Diego Cotella; Maria Felicia Soluri; Olga Tarasiuk; Francesco Raspagliesi; Fulvio Adorni; Silvano Piazza; Yari Ciani; Claudio Santoro; Paolo Macor; Delia Mezzanzanica; Daniele Sblattero
Journal:  Oncoimmunology       Date:  2019-06-04       Impact factor: 8.110

Review 2.  Prognostic utility of the ovarian cancer secretome: a systematic investigation.

Authors:  Pradnya R Kamble; Apoorva Pawar; Ananya A Breed; Grishma Kasle; Bhakti R Pathak
Journal:  Arch Gynecol Obstet       Date:  2022-01-27       Impact factor: 2.493

3.  LEMD1-AS1 Suppresses Ovarian Cancer Progression Through Regulating miR-183-5p/TP53 Axis.

Authors:  Ruowen Guo; Yide Qin
Journal:  Onco Targets Ther       Date:  2020-07-28       Impact factor: 4.147

Review 4.  Monitoring of the Immune Dysfunction in Cancer Patients.

Authors:  Saskia J A M Santegoets; Marij J P Welters; Sjoerd H van der Burg
Journal:  Vaccines (Basel)       Date:  2016-09-02

5.  Effect of siRNA-silencing of SALL2 gene on growth, migration and invasion of human ovarian carcinoma A2780 cells.

Authors:  Fang Miao; Xueshan Zhang; Yanning Cao; Yue Wang; Xiaoshu Zhang
Journal:  BMC Cancer       Date:  2017-12-11       Impact factor: 4.430

6.  Circulating serum exosomal aHIF is a novel prognostic predictor for epithelial ovarian cancer.

Authors:  Xiaoyan Tang; Songping Liu; Yinglei Liu; Xiaojing Lin; Tingting Zheng; Xin Liu; Junjun Qiu; Keqin Hua
Journal:  Onco Targets Ther       Date:  2019-09-19       Impact factor: 4.147

7.  The involvement of small heat shock protein in chemoresistance in ovarian cancer - in vitro study.

Authors:  Aleksandra Wyciszkiewicz; Michal S Lach; Joanna P Wróblewska; Marcin Michalak; Wiktoria M Suchorska; Alicja Kalinowska; Slawomir Michalak
Journal:  EXCLI J       Date:  2021-05-25       Impact factor: 4.068

Review 8.  A comprehensive overview of exosomes in ovarian cancer: emerging biomarkers and therapeutic strategies.

Authors:  Lin Cheng; Shuying Wu; Kun Zhang; Yun'an Qing; Tianmin Xu
Journal:  J Ovarian Res       Date:  2017-11-03       Impact factor: 4.234

9.  Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells.

Authors:  Lin Cheng; Kun Zhang; Yunan Qing; Dong Li; Manhua Cui; Peng Jin; Tianmin Xu
Journal:  J Ovarian Res       Date:  2020-01-22       Impact factor: 4.234

10.  Sevoflurane inhibits the progression of ovarian cancer through down-regulating stanniocalcin 1 (STC1).

Authors:  Chuanfeng Zhang; Baosheng Wang; Xiuqin Wang; Xiugui Sheng; Yongchun Cui
Journal:  Cancer Cell Int       Date:  2019-12-16       Impact factor: 5.722

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