Unknown

Dataset Information

0

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


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.

SUBMITTER: Hays JL 

PROVIDER: S-EPMC2939206 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Hays John L JL   Kim Geoffrey G   Giuroiu Iulia I   Kohn Elise C EC  

Journal of proteomics 20100601 10


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 s  ...[more]

Similar Datasets

| S-EPMC6753345 | biostudies-literature
| S-EPMC10831333 | biostudies-literature
| S-EPMC2815427 | biostudies-literature
| S-EPMC8469371 | biostudies-literature
| S-EPMC5608455 | biostudies-other
2013-05-25 | E-GEOD-46611 | biostudies-arrayexpress
| S-EPMC9258710 | biostudies-literature
| S-EPMC5694001 | biostudies-literature
2013-05-25 | GSE46611 | GEO
| S-EPMC6121953 | biostudies-literature