Literature DB >> 18468571

The early detection of ovarian cancer: from traditional methods to proteomics. Can we really do better than serum CA-125?

Vladimir Nossov1, Malaika Amneus, Feng Su, Jennifer Lang, Jo Marie Tran Janco, Srinivasa T Reddy, Robin Farias-Eisner.   

Abstract

Ovarian cancer is the leading cause of death from gynecologic malignancy in the United States. More than 80% of patients present with advanced disease, with 5 year survival rates between 15% and 45%. In contrast, the survival rate for stage I disease, with malignancy confined to the ovary, is approximately 95%. Given the discrepancy in survival outcomes between early- and late-stage disease, strategies that would allow for the detection of ovarian cancer in its early stages would hold promise to significantly improve the mortality rate from ovarian cancer. Unfortunately, current screening methods for the detection of early stage ovarian cancer are inadequate. However, several recent proteomics-based biomarker discovery projects show promise for the development of highly sensitive and specific markers for gynecological malignancies, including ovarian cancer. In this review, we hope to provide an overview of the early detection ovarian cancer from traditional methods to recent promises in the proteomics pipeline.

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Year:  2008        PMID: 18468571     DOI: 10.1016/j.ajog.2008.04.009

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  96 in total

Review 1.  Protein biomarkers of ovarian cancer: the forest and the trees.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Future Oncol       Date:  2012-01       Impact factor: 3.404

2.  Preclinical evaluation of Mab CC188 for ovarian cancer imaging.

Authors:  M Xu; M P Rettig; G Sudlow; B Wang; W J Akers; D Cao; D G Mutch; J F DiPersio; S Achilefu
Journal:  Int J Cancer       Date:  2012-01-11       Impact factor: 7.396

Review 3.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

4.  Peritoneal dialysate effluent and serum CA125 concentrations in stable peritoneal dialysis patients.

Authors:  Lynn Redahan; Andrew Davenport
Journal:  J Nephrol       Date:  2015-11-30       Impact factor: 3.902

5.  Autoantibody biomarkers identified by proteomics methods distinguish ovarian cancer from non-ovarian cancer with various CA-125 levels.

Authors:  Aykan A Karabudak; Julie Hafner; Vivekananda Shetty; Songming Chen; Angeles Alvarez Secord; Michael A Morse; Ramila Philip
Journal:  J Cancer Res Clin Oncol       Date:  2013-09-03       Impact factor: 4.553

6.  Applying PET to broaden the diagnostic utility of the clinically validated CA19.9 serum biomarker for oncology.

Authors:  Nerissa Therese Viola-Villegas; Samuel L Rice; Sean Carlin; Xiaohong Wu; Michael J Evans; Kuntal K Sevak; Marija Drobjnak; Govind Ragupathi; Ritsuko Sawada; Wolfgang W Scholz; Philip O Livingston; Jason S Lewis
Journal:  J Nucl Med       Date:  2013-09-12       Impact factor: 10.057

7.  Potential role of coregistered photoacoustic and ultrasound imaging in ovarian cancer detection and characterization.

Authors:  Andres Aguirre; Yasaman Ardeshirpour; Mary M Sanders; Molly Brewer; Quing Zhu
Journal:  Transl Oncol       Date:  2011-02-01       Impact factor: 4.243

8.  Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis.

Authors:  Alireza Salmanzadeh; Harsha Kittur; Michael B Sano; Paul C Roberts; Eva M Schmelz; Rafael V Davalos
Journal:  Biomicrofluidics       Date:  2012-04-03       Impact factor: 2.800

9.  Apolipoprotein A-I (apoA-I) and apoA-I mimetic peptides inhibit tumor development in a mouse model of ovarian cancer.

Authors:  Feng Su; Kathy R Kozak; Satoshi Imaizumi; Feng Gao; Malaika W Amneus; Victor Grijalva; Carey Ng; Alan Wagner; Greg Hough; Gina Farias-Eisner; G M Anantharamaiah; Brian J Van Lenten; Mohamad Navab; Alan M Fogelman; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

10.  FBXW12, a novel F box protein-encoding gene, is deleted or methylated in some cases of epithelial ovarian cancer.

Authors:  Elsa De La Chesnaye; Juan Pablo Méndez; Ricardo López-Romero; María De Los Angeles Romero-Tlalolini; María Dolores Vergara; Mauricio Salcedo; Sergio R Ojeda
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01
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