Literature DB >> 22343974

Prediction of progression-free survival and response to paclitaxel plus carboplatin in patients with recurrent or advanced cervical cancer.

Takeshi Hisamatsu1, Seiji Mabuchi, Kiyoshi Yoshino, Masami Fujita, Takayuki Enomoto, Toshimitsu Hamasaki, Tadashi Kimura.   

Abstract

OBJECTIVE: The aim of this study was to identify predictors of the response to paclitaxel-carboplatin chemotherapy (TC) in recurrent or patients with advanced cervical cancer.
METHODS: The records of 61 consecutive women with recurrent or advanced cervical cancer who were treated with TC were retrospectively reviewed. Data regarding their primary disease, follow-up, recurrence, and the activity and toxicity of TC were collected. Multivariate analysis was performed using the Cox proportional hazards regression model to identify predictors of the response to TC. Survival was calculated using the Kaplan-Meier method and compared using the log-rank test.
RESULTS: Overall, TC was well tolerated and displayed a response rate of 60.7% (19 complete response and 18 partial response). The median progression-free survival was 14 months for all patients and 20 months for the responders. Grade 3 to grade 4 toxicities were observed in 51 patients (83.6%). Multivariate analysis revealed that performance status, symptom status, and prior chemotherapy were independent prognostic predictors of a poor response. Patient survival was inversely correlated with the number of these prognostic factors. When the patients were divided into 2 prognostic groups (low risk: patients with no or one poor prognostic factor; and high-risk: patients with 2 or more poor prognostic factors), the patients in the high-risk group had a significantly shorter progression-free survival than those in the low-risk group (4 vs 16 months, log-rank; P < 0.0001).
CONCLUSIONS: The combination of paclitaxel and carboplatin is effective in patients with recurrent or advanced cervical cancer. Our prognostic model composed of 3 clinical variables might enable physicians to identify patients who would not derive clinical benefit from TC and offer them the opportunity to receive other types of treatment.

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Year:  2012        PMID: 22343974     DOI: 10.1097/IGC.0b013e3182473277

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  8 in total

1.  Fucoxanthin induces apoptosis in human cervical cancer cell line HeLa via PI3K/Akt pathway.

Authors:  Guoliu Ye; Qin Lu; Weidong Zhao; Danli Du; Lijie Jin; Yusheng Liu
Journal:  Tumour Biol       Date:  2014-08-13

2.  Lurbinectedin (PM01183), a selective inhibitor of active transcription, effectively eliminates both cancer cells and cancer stem cells in preclinical models of uterine cervical cancer.

Authors:  Eriko Yokoi; Seiji Mabuchi; Kotaro Shimura; Naoko Komura; Katsumi Kozasa; Hiromasa Kuroda; Ryoko Takahashi; Tomoyuki Sasano; Mahiru Kawano; Yuri Matsumoto; Michiko Kodama; Kae Hashimoto; Kenjiro Sawada; Tadashi Kimura
Journal:  Invest New Drugs       Date:  2018-10-30       Impact factor: 3.850

3.  Liquiritigenin inhibits tumor growth and vascularization in a mouse model of HeLa cells.

Authors:  Yuxin Liu; Sirou Xie; Yu Wang; Kang Luo; Yang Wang; Yunqing Cai
Journal:  Molecules       Date:  2012-06-12       Impact factor: 4.411

4.  Cervical Cancer Imaging Features Associated With ADRB1 as a Risk Factor for Cerebral Neurovascular Metastases.

Authors:  Xingju Zheng; Shilin Xu; JiaYing Wu
Journal:  Front Neurol       Date:  2022-07-12       Impact factor: 4.086

5.  Utility of serum squamous cell carcinoma antigen levels at the time of recurrent cervical cancer diagnosis in determining the optimal treatment choice.

Authors:  Kotaro Shimura; Seiji Mabuchi; Takeshi Yokoi; Tomoyuki Sasano; Kenjirou Sawada; Toshimitsu Hamasaki; Tadashi Kimura
Journal:  J Gynecol Oncol       Date:  2013-10-02       Impact factor: 4.401

6.  Chemoradiotherapy followed by consolidation chemotherapy involving paclitaxel and carboplatin and in FIGO stage IIIB/IVA cervical cancer patients.

Authors:  Seiji Mabuchi; Fumiaki Isohashi; Mika Okazawa; Fuminori Kitada; Shintaro Maruoka; Kazuhiko Ogawa; Tadashi Kimura
Journal:  J Gynecol Oncol       Date:  2017-01       Impact factor: 4.401

7.  Comparison of clinical utilities of the platelet count and platelet-lymphocyte ratio for predicting survival in patients with cervical cancer: a single institutional study and literature review.

Authors:  Katsumi Kozasa; Seiji Mabuchi; Naoko Komura; Eriko Yokoi; Kuroda Hiromasa; Tomoyuki Sasano; Mahiru Kawano; Yuri Matsumoto; Eiji Kobayashi; Tadashi Kimura
Journal:  Oncotarget       Date:  2017-07-25

8.  Values of miR-34a and miR-218 expression in the diagnosis of cervical cancer and the prediction of prognosis.

Authors:  Ping Wang; Guanyun Zhai; Yunyan Bai
Journal:  Oncol Lett       Date:  2018-01-12       Impact factor: 2.967

  8 in total

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