Literature DB >> 24384959

[ATP-tumor chemosensitivity assay directed chemotherapy in patients with cervical cancer].

Ying Zhang1, Qian Zhao, Yanan Jiang, Zhongfu Yuan, Li Yang.   

Abstract

OBJECTIVE: To select suitable chemotherapy for cervical cancer patients by ATP-tumor chemosensitivity assay.
METHODS: Seventy-two hospitalized patients with cervical cancer between July 2007 and October 2009 were enrolled. The patients were randomly divided into a trial group (n=35) and a control group (n=37). ATP-TCA was used to detect the sensitivity of 35 samples of cervical cancer in the trial group to 6 combined chemotherapy regimens. The chemotherapy regimen in the trial group was confirmed by the results of susceptibility testing and that in the control group was confirmed by clinical experience. One-year recurrence rate and 3- year survival rate of two groups were compared after 3 year follow-up.
RESULTS: ATP-TCA was measured in 32 of the 35 patients in the trial group. The sensitive patients for paclitaxel+carboplatin, paclitaxel+oxaliplatin, bleomycin+ifosfamide+cisplatin, bleomycin+vincristine+cisplatin, fluorouracil+cisplatin, and gemcitabine+cisplatin were 20, 18, 17, 18, 17, and 21, respectively. There was no significant difference in the 1-year recurrence between the two groups (P>0.05), while the 3-year survivors in the trial group were more than those in the control group (P<0.05).
CONCLUSION: ATP-TCA method is good for patients with cervical cancer because it is sensitive, effective, and individualized.

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Year:  2013        PMID: 24384959     DOI: 10.3969/j.issn.1672-7347.2013.12.004

Source DB:  PubMed          Journal:  Zhong Nan Da Xue Xue Bao Yi Xue Ban        ISSN: 1672-7347


  2 in total

1.  A retrospective study of the correlation of in vitro chemosensitivity using ATP-TCA with patient clinical outcomes in acute myeloid leukemia.

Authors:  Fan Xia; Sheng Ma; Yicong Bian; Di Yu; WenXia Ma; Miao Miao; Chenrong Huang; Liyan Miao
Journal:  Cancer Chemother Pharmacol       Date:  2019-10-25       Impact factor: 3.333

Review 2.  Targeting protein quality control pathways in breast cancer.

Authors:  Sara Sannino; Jeffrey L Brodsky
Journal:  BMC Biol       Date:  2017-11-16       Impact factor: 7.431

  2 in total

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