Literature DB >> 25225597

In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Joshua G Cohen1, Matthew White1, Ana Cruz1, Robin Farias-Eisner1.   

Abstract

Ovarian cancer is a lethal gynecologic malignancy with greater than 70% of women presenting with advanced stage disease. Despite new treatments, long term outcomes have not significantly changed in the past 30 years with the five-year overall survival remaining between 20% and 40% for stage III and IV disease. In contrast patients with stage I disease have a greater than 90% five-year overall survival. Detection of ovarian cancer at an early stage would likely have significant impact on mortality rate. Screening biomarkers discovered at the bench have not translated to success in clinical trials. Existing screening modalities have not demonstrated survival benefit in completed prospective trials. Advances in high throughput screening are making it possible to evaluate the development of ovarian cancer in ways never before imagined. Data in the form of human "-omes" including the proteome, genome, metabolome, and transcriptome are now available in various packaged forms. With the correct pooling of resources including prospective collection of patient specimens, integration of high throughput screening, and use of molecular heterogeneity in biomarker discovery, we are poised to make progress in ovarian cancer screening. This review will summarize current biomarkers, imaging, and multimodality screening strategies in the context of emerging technologies.

Entities:  

Keywords:  Adnexal mass; Biomarker; Detection; Diagnostic imaging; Ovarian cancer; Proteomics; Screening

Year:  2014        PMID: 25225597      PMCID: PMC4160523          DOI: 10.4331/wjbc.v5.i3.286

Source DB:  PubMed          Journal:  World J Biol Chem        ISSN: 1949-8454


  128 in total

Review 1.  Phases of biomarker development for early detection of cancer.

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Journal:  J Natl Cancer Inst       Date:  2001-07-18       Impact factor: 13.506

2.  MALDI imaging mass spectrometry in ovarian cancer for tracking, identifying, and validating biomarkers.

Authors:  Mohamed El Ayed; David Bonnel; Remi Longuespée; Céline Castelier; Julien Franck; Daniele Vergara; Annie Desmons; Aurélie Tasiemski; Abderraouf Kenani; Denis Vinatier; Robert Day; Isabelle Fournier; Michel Salzet
Journal:  Med Sci Monit       Date:  2010-08

3.  Committee Opinion No. 477: the role of the obstetrician-gynecologist in the early detection of epithelial ovarian cancer.

Authors: 
Journal:  Obstet Gynecol       Date:  2011-03       Impact factor: 7.661

4.  Clinical performance of a multivariate index assay for detecting early-stage ovarian cancer.

Authors:  Teresa C Longoria; Frederick R Ueland; Zhen Zhang; Daniel W Chan; Alan Smith; Eric T Fung; Donald G Munroe; Robert E Bristow
Journal:  Am J Obstet Gynecol       Date:  2013-09-18       Impact factor: 8.661

5.  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

6.  Ovarian cancer screening and early detection in the general population.

Authors:  Jose A Rauh-Hain; Thomas C Krivak; Marcela G Del Carmen; Alexander B Olawaiye
Journal:  Rev Obstet Gynecol       Date:  2011

7.  The UKCTOCS experience--reasons for hope?

Authors:  Usha Menon; Jatinderpal Kalsi; Ian Jacobs
Journal:  Int J Gynecol Cancer       Date:  2012-05       Impact factor: 3.437

8.  Sensitivity and specificity of multimodal and ultrasound screening for ovarian cancer, and stage distribution of detected cancers: results of the prevalence screen of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).

Authors:  Usha Menon; Aleksandra Gentry-Maharaj; Rachel Hallett; Andy Ryan; Matthew Burnell; Aarti Sharma; Sara Lewis; Susan Davies; Susan Philpott; Alberto Lopes; Keith Godfrey; David Oram; Jonathan Herod; Karin Williamson; Mourad W Seif; Ian Scott; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Nazar N Amso; Simon Leeson; Derek Cruickshank; Alistair McGuire; Stuart Campbell; Lesley Fallowfield; Naveena Singh; Anne Dawnay; Steven J Skates; Mahesh Parmar; Ian Jacobs
Journal:  Lancet Oncol       Date:  2009-03-11       Impact factor: 41.316

9.  Evaluation of biomarker panels for early stage ovarian cancer detection and monitoring for disease recurrence.

Authors:  Laura J Havrilesky; Clark M Whitehead; Jennifer M Rubatt; Robert L Cheek; John Groelke; Qin He; Douglas P Malinowski; Timothy J Fischer; Andrew Berchuck
Journal:  Gynecol Oncol       Date:  2008-06-27       Impact factor: 5.482

10.  A comparison between an ultrasound based prediction model (LR2) and the risk of ovarian malignancy algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass.

Authors:  Jeroen Kaijser; Toon Van Gorp; Kirsten Van Hoorde; Caroline Van Holsbeke; Ahmad Sayasneh; Ignace Vergote; Tom Bourne; Dirk Timmerman; Ben Van Calster
Journal:  Gynecol Oncol       Date:  2013-01-27       Impact factor: 5.482

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  29 in total

1.  Tumor-associated autoantibodies as early detection markers for ovarian cancer? A prospective evaluation.

Authors:  Rudolf Kaaks; Renée Turzanski Fortner; Anika Hüsing; Myrto Barrdahl; Marika Hopper; Theron Johnson; Anne Tjønneland; Louise Hansen; Kim Overvad; Agnès Fournier; Marie-Christine Boutron-Ruault; Marina Kvaskoff; Laure Dossus; Mattias Johansson; Heiner Boeing; Antonia Trichopoulou; Vassiliki Benetou; Carlo La Vecchia; Sabina Sieri; Amalia Mattiello; Domenico Palli; Rosario Tumino; Giuseppe Matullo; N Charlotte Onland-Moret; Inger T Gram; Elisabete Weiderpass; Maria-Jose Sánchez; Carmen Navarro Sanchez; Eric J Duell; Eva Ardanaz; Nerea Larranaga; Eva Lundin; Annika Idahl; Karin Jirström; Björn Nodin; Ruth C Travis; Elio Riboli; Melissa Merritt; Dagfinn Aune; Kathryn Terry; Daniel W Cramer; Karen S Anderson
Journal:  Int J Cancer       Date:  2018-03-08       Impact factor: 7.396

2.  Identification of epithelial ovarian tumor-specific aptamers.

Authors:  Gregory Benedetto; Timothy J Hamp; Peter J Wesselman; Christine Richardson
Journal:  Nucleic Acid Ther       Date:  2015-04-20       Impact factor: 5.486

3.  Elevated growth differentiation factor 15 expression predicts poor prognosis in epithelial ovarian cancer patients.

Authors:  Ying Zhang; Wei Hua; Li-Chun Niu; Shi-Mei Li; Ying-Mei Wang; Lei Shang; Cun Zhang; Wei-Na Li; Rui Wang; Bi-Liang Chen; Xiao-Yan Xin; Ying-Qi Zhang; Jian Wang
Journal:  Tumour Biol       Date:  2016-01-18

Review 4.  Proteomics of ovarian cancer: functional insights and clinical applications.

Authors:  Mohamed A Elzek; Karin D Rodland
Journal:  Cancer Metastasis Rev       Date:  2015-03       Impact factor: 9.264

5.  Comparison of plasma amino acid profile-based index and CA125 in the diagnosis of epithelial ovarian cancers and borderline malignant tumors.

Authors:  Etsuko Miyagi; Yasuyo Maruyama; Tae Mogami; Reiko Numazaki; Atsuko Ikeda; Hiroshi Yamamoto; Fumiki Hirahara
Journal:  Int J Clin Oncol       Date:  2016-09-13       Impact factor: 3.402

6.  Correlation analysis of urine metabolites and clinical staging in patients with ovarian cancer.

Authors:  Ting Jiang; Yunliang Lin; Haiqin Yin; Shanshan Wang; Qinglei Sun; Peihai Zhang; Wenxiang Bi
Journal:  Int J Clin Exp Med       Date:  2015-10-15

Review 7.  Epigenetic regulation of glycosylation and the impact on chemo-resistance in breast and ovarian cancer.

Authors:  Gordon Greville; Amanda McCann; Pauline M Rudd; Radka Saldova
Journal:  Epigenetics       Date:  2016-09-30       Impact factor: 4.528

Review 8.  Reducing Ovarian Cancer Mortality Through Early Detection: Approaches Using Circulating Biomarkers.

Authors:  Camille V Trinidad; Ashley L Tetlow; Leonidas E Bantis; Andrew K Godwin
Journal:  Cancer Prev Res (Phila)       Date:  2020-03

9.  Highly effective antiangiogenesis via magnetic mesoporous silica-based siRNA vehicle targeting the VEGF gene for orthotopic ovarian cancer therapy.

Authors:  Yijie Chen; Xinran Wang; Ting Liu; Ding Sheng-Zi Zhang; Yunfei Wang; Hongchen Gu; Wen Di
Journal:  Int J Nanomedicine       Date:  2015-03-31

10.  Upregulation of miR-572 transcriptionally suppresses SOCS1 and p21 and contributes to human ovarian cancer progression.

Authors:  Xin Zhang; Junling Liu; Dan Zang; Shu Wu; Aibin Liu; Jinrong Zhu; Geyan Wu; Jun Li; Lili Jiang
Journal:  Oncotarget       Date:  2015-06-20
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