Literature DB >> 15314519

Proteomics and ovarian cancer: implications for diagnosis and treatment: a critical review of the recent literature.

Edwin M Posadas1, Ben Davidson, Elise C Kohn.   

Abstract

PURPOSE OF REVIEW: Epithelial ovarian cancer is the leading cause of death from gynecologic malignancies amongst American women. Emerging proteomic technologies have promise for early diagnosis and in advancing treatment directions. Application of these technologies has produced new biomarkers, diagnostic approaches, and understanding of disease biology. RECENT
FINDINGS: Mass spectral blood and tissue analysis has yielded new putative biomarkers that require further validation and assessment of diagnostic specificity and sensitivity. Protein signature patterns derived from mass spectrometry datastreams have been modeled and are moving into validation. Tissue-based protein analysis has led to identification of tumor and stromal protein and signal activation events in ovarian cancer. Clinical trials are now ascertaining tissue samples prior to and during therapy with molecularly targeted agents to evaluate modulation of targeted signaling pathways. Finally, proteomic analysis of tissues and metastases will outline biochemical events underlying the metastatic phenotype of ovarian cancer.
SUMMARY: Proteomic approaches are experimental technologies applied to ovarian and other cancers. Proper validation and use of findings may advance our understanding of biochemical events that have complicated successful detection and intervention. This knowledge is the first step in fulfilling the promise of personalized molecular medicine.

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Year:  2004        PMID: 15314519     DOI: 10.1097/00001622-200409000-00012

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  10 in total

1.  Identification of serum biomarkers for ovarian cancer using MALDI-TOF-MS combined with magnetic beads.

Authors:  Shengjun Wu; Kai Xu; Guang Chen; Jun Zhang; Zhiwei Liu; Xinyou Xie
Journal:  Int J Clin Oncol       Date:  2011-06-03       Impact factor: 3.402

2.  Viral and bacterial aetiologies of epithelial ovarian cancer.

Authors:  S Shanmughapriya; G Senthilkumar; K Vinodhini; B C Das; N Vasanthi; K Natarajaseenivasan
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2012-03-09       Impact factor: 3.267

Review 3.  Contemporary progress in ovarian cancer screening.

Authors:  Christine S Walsh; B Y Karlan
Journal:  Curr Oncol Rep       Date:  2007-11       Impact factor: 5.075

4.  Chemomechanical mapping of ligand-receptor binding kinetics on cells.

Authors:  Sunyoung Lee; Jelena Mandic; Krystyn J Van Vliet
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

5.  Effect of shRNA targeting survivin on ovarian cancer.

Authors:  Jun Xing; Chang-Ru Jia; Yan Wang; Jing Guo; Yan Cai
Journal:  J Cancer Res Clin Oncol       Date:  2012-03-18       Impact factor: 4.553

Review 6.  Mass spectrometry-based biomarker discovery: toward a global proteome index of individuality.

Authors:  Adam M Hawkridge; David C Muddiman
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2009       Impact factor: 10.745

Review 7.  Personalized exposure assessment: promising approaches for human environmental health research.

Authors:  Brenda K Weis; David Balshaw; John R Barr; David Brown; Mark Ellisman; Paul Lioy; Gilbert Omenn; John D Potter; Martyn T Smith; Lydia Sohn; William A Suk; Susan Sumner; James Swenberg; David R Walt; Simon Watkins; Claudia Thompson; Samuel H Wilson
Journal:  Environ Health Perspect       Date:  2005-07       Impact factor: 9.031

8.  Stage-specific analysis of plasma protein profiles in ovarian cancer: Difference in-gel electrophoresis analysis of pooled clinical samples.

Authors:  Mark J Bailey; Kristy L Shield-Artin; Karen Oliva; Mustafa Ayhan; Simone Reisman; Gregory E Rice
Journal:  J Carcinog       Date:  2013-06-29

9.  An Italian National Survey on Ovarian Cancer Treatment at first diagnosis. There's None so Deaf as those who will not Hear.

Authors:  Vincenzo Dario Mandato; Federica Torricelli; Stefano Uccella; Debora Pirillo; Gino Ciarlini; Gabriele Ruffo; Gianluca Annunziata; Gloria Manzotti; Sandro Pignata; Lorenzo Aguzzoli
Journal:  J Cancer       Date:  2021-05-27       Impact factor: 4.207

10.  Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles.

Authors:  Guangtao Ge; G William Wong
Journal:  BMC Bioinformatics       Date:  2008-06-11       Impact factor: 3.169

  10 in total

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