Literature DB >> 20561909

Proteomics and ovarian cancer: integrating proteomics information into clinical care.

John L Hays1, Geoffrey Kim, Iulia Giuroiu, Elise C Kohn.   

Abstract

The power of proteomics allows unparalleled opportunity to query the molecular mechanisms of a malignant cell and the tumor microenvironment in patients with ovarian cancer and other solid tumors. This information has given us insight into the perturbations of signaling pathways within tumor cells and has aided the discovery of new drug targets for the tumor and possible prognostic indicators of outcome and disease response to therapy. Proteomics analysis of serum and ascites has also given us sources with which to discover possible early markers for the presence of new disease and for the progression of established cancer throughout the course of treatment. Unfortunately, this wealth of information has yielded little to date in changing the clinical care of these patients from a diagnostic, prognostic, or treatment perspective. The rational examination and translation of proteomics data in the context of past clinical trials and the design of future clinical trials must occur before we can march forward into the future of personalized medicine.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20561909      PMCID: PMC2939206          DOI: 10.1016/j.jprot.2010.05.013

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  71 in total

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Review 2.  Does smoking increase risk of ovarian cancer? A systematic review.

Authors:  Susan J Jordan; David C Whiteman; David M Purdie; Adèle C Green; Penelope M Webb
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4.  A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Authors:  Richard G Moore; D Scott McMeekin; Amy K Brown; Paul DiSilvestro; M Craig Miller; W Jeffrey Allard; Walter Gajewski; Robert Kurman; Robert C Bast; Steven J Skates
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5.  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).

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6.  Phase II clinical trial of bevacizumab and low-dose metronomic oral cyclophosphamide in recurrent ovarian cancer: a trial of the California, Chicago, and Princess Margaret Hospital phase II consortia.

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Review 10.  Progress and challenges in screening for early detection of ovarian cancer.

Authors:  Ian J Jacobs; Usha Menon
Journal:  Mol Cell Proteomics       Date:  2004-02-05       Impact factor: 5.911

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  8 in total

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

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Journal:  J Cancer Res Clin Oncol       Date:  2013-09-03       Impact factor: 4.553

2.  Potential markers for detection and monitoring of ovarian cancer.

Authors:  Brandon J D Rein; Sajal Gupta; Rima Dada; Joelle Safi; Chad Michener; Ashok Agarwal
Journal:  J Oncol       Date:  2011-04-11       Impact factor: 4.375

Review 3.  Mass spectrometry-based proteomics techniques and their application in ovarian cancer research.

Authors:  Agata Swiatly; Szymon Plewa; Jan Matysiak; Zenon J Kokot
Journal:  J Ovarian Res       Date:  2018-10-01       Impact factor: 4.234

Review 4.  Ovarian cancer: can proteomics give new insights for therapy and diagnosis?

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Journal:  Int J Mol Sci       Date:  2013-04-15       Impact factor: 5.923

5.  Relevant phosphoproteomic and mass spectrometry: approaches useful in clinical research.

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6.  Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics.

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Review 7.  Advances in the proteomic discovery of novel therapeutic targets in cancer.

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8.  Haptoglobin and CCR2 receptor expression in ovarian cancer cells that were exposed to ascitic fluid: exploring a new role of haptoglobin in the tumoral microenvironment.

Authors:  O L Garibay-Cerdenares; V I Hernández-Ramírez; J C Osorio-Trujillo; D Gallardo-Rincón; P Talamás-Rohana
Journal:  Cell Adh Migr       Date:  2015-07-25       Impact factor: 3.405

  8 in total

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