Literature DB >> 22093929

[Prediction of chemoresistance in epithelial ovarian cancer by clinical factors].

Xu-dong Liang1, Hao-xia Zeng, Hong-lan Zhu, Yan-yan Feng, Lu-yao Yin, Heng Cui, Li-hui Wei.   

Abstract

OBJECTIVE: To compare the clinical features and prognosis among patients with different chemosensitivity and determine the specific clinical influencing factors of chemotherapeutic resistance.
METHODS: In references to the 2010 NCCN clinical practice guidelines on ovarian cancer and in accordance with the length of disease-free interval, 244 patients were divided into 3 groups: platinum-resistant, partially sensitive and platinum-sensitive. The differences of clinical features, treatment and prognosis were compared among these 3 groups.
RESULTS: The resistant, partially sensitive, sensitive rates to platinum-based chemotherapy were 23.4%, 13.5% and 63.1% respectively. Such factors as age, pathological type, primary tumor size. intraperitoneal chemotherapy and venous chemotherapy regimen had no effect on the responses to the combination platinum-based chemotherapy. The platinum-resistant percentage of advanced stage patients without optimal cytoreductive surgery was higher (P < 0.01). The poorly differentiated rate of partially sensitive patients was higher than that of platinum-sensitive ones (P < 0.05). The CA125 level and lymph node metastasis rate of platinum-resistant patients were higher than those of platinum-sensitive patients (P < 0.05, P < 0.01). The 5-year survival rates of resistant, partially sensitive and sensitive patients were 9.5%, 38.4% and 81.9% respectively. There were statistics differences in overall survival and progression-free survival among the 3 groups (P < 0.01).
CONCLUSION: Advanced ovarian cancer, poor differentiation, lymph node-positivity, CA125 rising above 1000 × 10(3) U/L and suboptimal cytoreductive surgery would lead to the occurrences of resistance or partially sensitivity. Clinical factors have some reference values for the prediction of resistance. But it is impossible to accurately determine chemoresistance.

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Year:  2011        PMID: 22093929

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  1 in total

1.  Clinical analysis of chemo-resistance risk factors in endometriosis associated ovarian cancer.

Authors:  Tong Ren; Ting-Ting Sun; Shu Wang; Jian Sun; Yang Xiang; Keng Shen; Jing-He Lang
Journal:  J Ovarian Res       Date:  2018-05-29       Impact factor: 4.234

  1 in total

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