2015Unpublished venueRequires access

The correlations of LRP and GST-π to chemotherapy resistance and prognosis of ovarian cancer

Xinying Qi, Fengzhen Yang, Na Wang

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Abstract

Objective To explore the correlations of lung resistance protein (LRP) and glutathione S transferase π (GST-π) to chemotherapy resistance and prognosis of epithelial ovarian cancer. Methods The expressions of LRP and GST-π in epithelial ovarian cancer were examined with immunohistochemistry. Correlations of LRP and GST-π to chemotherapy efficacy and survival time after operation were analyzed. Results The short-term efficacy rates of ovarian cancer were lower in patients with positive expressions of LRP and GST-π than those with negative expressions[61.2%, 61.7% vs 94.1%, 89.5%, χ2=6.47, 4.94, P=0.011, P=0.026]. The positive rates of LRP and GST-π were significant higher in patients with chemotherapy resistance than in those sensitive to chemotherapy[91.3%, 87.0% vs 65.1%, 62.8%, P<0.05]. Log-rank test showed that patients with positive LRP and GST-π had shorter survival time than those negative, and patients with both positive LRP and GST-π had shorter survival time than those both negative (P<0.05). Conclusions The expressions of LRP and GST-π in epithelial ovarian cancer could be used to predict chemotherapy resistance and prognosis of patients. Key words: Vault ribonucleoprotein particles/ME; Glutathione transferase/ME; Ovarian neoplasms/ME/DT; Drug resistance, neoplasm; Prognosis

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Objective To explore the correlations of lung resistance protein (LRP) and glutathione S transferase π (GST-π) to chemotherapy resistance and prognosis of epithelial ovarian cancer. Methods The expressions of LRP and GST-π in epithelial ovarian cancer were examined with immunohistochemistry. Correlations of LRP and GST-π to chemotherapy efficacy and survival time after operation were analyzed. Results The short-term efficacy rates of ovarian cancer were lower in patients with positive expressions of LRP and GST-π than those with negative expressions[61.2%, 61.7% vs 94.1%, 89.5%, χ2=6.47, 4.94, P=0.011, P=0.026]. The positive rates of LRP and GST-π were significant higher in patients with chemotherapy resistance than in those sensitive to chemotherapy[91.3%, 87.0% vs 65.1%, 62.8%, P<0.05]. Log-rank test showed that patients with positive LRP and GST-π had shorter survival time than those negative, and patients with both positive LRP and GST-π had shorter survival time than those both negative (P<0.05). Conclusions The expressions of LRP and GST-π in epithelial ovarian cancer could be used to predict chemotherapy resistance and prognosis of patients. Key words: Vault ribonucleoprotein particles/ME; Glutathione transferase/ME; Ovarian neoplasms/ME/DT; Drug resistance, neoplasm; Prognosis

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Available abstract

Objective To explore the correlations of lung resistance protein (LRP) and glutathione S transferase π (GST-π) to chemotherapy resistance and prognosis of epithelial ovarian cancer. Methods The expressions of LRP and GST-π in epithelial ovarian cancer were examined with immunohistochemistry. Correlations of LRP and GST-π to chemotherapy efficacy and survival time after operation were analyzed. Results The short-term efficacy rates of ovarian cancer were lower in patients with positive expressions of LRP and GST-π than those with negative expressions[61.2%, 61.7% vs 94.1%, 89.5%, χ2=6.47, 4.94, P=0.011, P=0.026]. The positive rates of LRP and GST-π were significant higher in patients with chemotherapy resistance than in those sensitive to chemotherapy[91.3%, 87.0% vs 65.1%, 62.8%, P<0.05]. Log-rank test showed that patients with positive LRP and GST-π had shorter survival time than those negative, and patients with both positive LRP and GST-π had shorter survival time than those both negative (P<0.05). Conclusions The expressions of LRP and GST-π in epithelial ovarian cancer could be used to predict chemotherapy resistance and prognosis of patients. Key words: Vault ribonucleoprotein particles/ME; Glutathione transferase/ME; Ovarian neoplasms/ME/DT; Drug resistance, neoplasm; Prognosis

Key concepts: Chemotherapy, Ovarian cancer, Internal medicine, Immunohistochemistry, Medicine, Lung cancer, Cancer, Oncology

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