Comparative proteomic analysis of advanced ovarian cancer tissue to identify potential biomarkers of responders and nonresponders to first-line chemotherapy of carboplatin and paclitaxel

Sehrawat, Urmila ; Pokhriyal, Ruchika ; Gupta, Ashish Kumar ; Hariprasad, Roopa ; Imran Khan, Mohd ; Gupta, Divya ; Naru, Jasmine ; Singh, Sundararajan Baskar ; Mohanty, Ashok Kumar ; Vanamail, Perumal ; Kumar, Lalit ; Kumar, Sunesh ; Hariprasad, Gururao (2016) Comparative proteomic analysis of advanced ovarian cancer tissue to identify potential biomarkers of responders and nonresponders to first-line chemotherapy of carboplatin and paclitaxel Biomarkers in Cancer, 8 . pp. 43-56. ISSN 1179-299X

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Related URL: http://dx.doi.org/10.4137/BIC.S35775

Abstract

Conventional treatment for advanced ovarian cancer is an initial debulking surgery followed by chemotherapy combination of carboplatin and paclitaxel. Despite initial high response, three-fourths of these women experience disease recurrence with a dismal prognosis. Patients with advanced-stage ovarian cancer who underwent cytoreductive surgery were enrolled and tissue samples were collected. Post surgery, these patients were started on chemotherapy and followed up till the end of the cycle. Fluorescence-based differential in-gel expression coupled with mass spectrometric analysis was used for discovery phase of experiments, and real-time polymerase chain reaction, Western blotting, and pathway analysis were performed for expression and functional validation of differentially expressed proteins. While aldehyde reductase, hnRNP, cyclophilin A, heat shock protein-27, and actin are upregulated in responders, prohibitin, enoyl-coA hydratase, peroxiredoxin, and fibrin-β are upregulated in the nonresponders. The expressions of some of these proteins correlated with increased apoptotic activity in responders and decreased apoptotic activity in nonresponders. Therefore, the proteins qualify as potential biomarkers to predict chemotherapy response.

Item Type:Article
Source:Copyright of this article belongs to SAGE Publishing.
ID Code:111307
Deposited On:25 Sep 2017 12:37
Last Modified:25 Sep 2017 12:37

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