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[Relationship between the expression of P-glycoprotein, glutathione S-transferase-pi and thymidylate synthase proteins and adenosine triphosphate tumor chemosensitivity assay in cervical cancer]

Authors :
Guo-lan, Gao
Hong-ying, Wan
Xue-sen, Zou
Wen-xue, Chen
Yue-qing, Chen
Xiu-zhen, Huang
Source :
Zhonghua fu chan ke za zhi. 42(3)
Publication Year :
2007

Abstract

To explore the feasibility of the adenosine triphosphate-tumor chemosensitivity assay (ATP-TCA) in human cervical cancer chemosensitivity testing and to analyze the relationship between the three drug resistance-associated proteins: P-glycoprotein (P-gp); glutathione S-transferase-pi (GST-pi); thymidylate synthase (TS) and ATP-TCA.ATP-TCA was used to detect the sensitivity of 35 specimens of fresh cervical cancer to six cytotoxic drugs as follows: paclitaxel (TAX), cisplatin (DDP), bleomycin (BLM), gemcitabine (GEM), 5-fluorouracil (5-FU), irinotecan (CPT-11). Consecutive sections from 35 cases of cervical cancer were assessed immunohistochemically for expression of P-gp, GST-pi and TS proteins.(1) Thirty-two of 35 assays were completed successfully, with an evaluability rate of ATP-TCA at 91% (32/35). There was a marked heterogeneity of chemosensitivity in cervical cancer. The ex vivo sensitive rate of TAX was 88% (28/32), of 5-FU 72% (23/32), of GEM 62% (20/32), of DDP 19% (6/32), of BLM 16% (5/32), and of CPT-11 12% (4/32). (2) The expression of GST-pi and TS protein in cervical cancer was 66% (21/32) and 44% (14/32), which was associated with the resistance to DDP and 5-FU ex vivo (P=0.011, P=0.022), respectively; but the expression of P-gp protein was not associated with any resistance to TAX, 5-FU, GEM, DDP, BLM or CPT-11 ex vivo (P0.05).ATP-TCA could be used to individualize chemotherapy by selecting agents for particular patients of cervical cancer. The expression of GST-pi and TS protein might be useful biomarkers to predict the resistance to DDP and 5-FU in patients with cervical cancer.

Details

ISSN :
0529567X
Volume :
42
Issue :
3
Database :
OpenAIRE
Journal :
Zhonghua fu chan ke za zhi
Accession number :
edsair.pmid..........8af9944751eb40bd3ffbb7d9219184a4