Abstract | BACKGROUND: It was our aim to study the prevalence and possible prognostic and predictive significance of the expression of P-glycoprotein, a transmembrane transport protein related to classical multidrug resistance, in patients with advanced ovarian cancer. STUDY DESIGN: RESULTS:
P-glycoprotein expression was detected in 47% of untreated cases, and correlated with unfavourable prognostic factors such as advanced age, presence of ascites and larger residual disease deposits after primary surgery. P-glycoprotein negative cases responded significantly better to chemotherapy (P < .001). In the multivariate survival analysis P-glycoprotein expression was an independent predictor of both overall (P = .045) and progression free (P = .006) survival. When P-glycoprotein expression and residual disease status were considered together, the patients could be divided in three clearly distinct prognostic groups (P = .0009). CONCLUSION:
P-glycoprotein expression is a predictor of response and survival in a uniformly treated and followed cohort of advanced ovarian cancer patients.
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Authors | M M Baekelandt, R Holm, J M Nesland, C G Tropé, G B Kristensen |
Journal | Anticancer research
(Anticancer Res)
2000 Mar-Apr
Vol. 20
Issue 2B
Pg. 1061-7
ISSN: 0250-7005 [Print] Greece |
PMID | 10810398
(Publication Type: Clinical Trial, Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- ATP Binding Cassette Transporter, Subfamily B, Member 1
- Biomarkers, Tumor
- Epirubicin
- Cisplatin
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Topics |
- ATP Binding Cassette Transporter, Subfamily B, Member 1
(analysis)
- Age Factors
- Antineoplastic Combined Chemotherapy Protocols
(therapeutic use)
- Biomarkers, Tumor
(analysis)
- Cisplatin
(administration & dosage)
- Disease Progression
- Drug Resistance, Multiple
- Epirubicin
(administration & dosage)
- Female
- Follow-Up Studies
- Humans
- Immunohistochemistry
- Multivariate Analysis
- Neoplasm Staging
- Ovarian Neoplasms
(drug therapy, mortality, pathology, surgery)
- Predictive Value of Tests
- Prognosis
- Proportional Hazards Models
- Regression Analysis
- Survival Analysis
- Time Factors
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