Literature DB >> 20843115

Comparison of three adjuvant chemotherapy regimes using an extended log-logistic model in women with operable breast cancer.

Javad Faradmal1, Anoshirvan Kazemnejad, Reza Khodabakhshi, Mahmood-Reza Gohari, Ebrahim Hajizadeh.   

Abstract

OBJECTIVE: The main objective of the present study was to compare the effects of three common chemotherapy regimes in terms of disease-free survival (DFS) of breast cancer (BC) patients; the three explored regimes were taxane-based, anthracycline-based and CMF (cyclophosphamide methotrexate and 5-fluorouracil).
MATERIALS AND METHODS: In this historical-cohort study, we obtained the information of 62 patients with confirmed BC in non-metastatic stage and followed them for 8 years. All the patients had undergone modified radical mastectomy surgery and had received adjuvant chemotherapy in three medical centers in Tehran, Iran. DFS was considered as the end-point. Afterwards, an extended log-logistic regression model was used to compare these regimes.
RESULTS: The mean (SD) age of patients was 49.0 (10.3) years. The median time of follow-up was 20.0 months and the probability of 5-years DFS was 0.48. Survival analysis indicated that the type of chemotherapy (OR(CMF vs. taxane) = 0.33, OR(anthracycline vs. taxane) = 0.74), grade (OR(III vs. I or II) = 0.35), tumor size (OR(>5 cm vs. <5 cm)= 0.179) and nodal involvements (OR(Yes vs. No)= 0.36) affected DFS.
CONCLUSION: The current study revealed that the efficacy of taxane-based, in terms of DFS, was more than CMF (p = 0.05). Moreover, taxane-based chemotherapy prolonged DFS more than anthracycline-based one although the difference was not significant (p= 0.63). Finally, considering the importance of tumor size, histological grade and number of involved lymph nodes in lengthening DFS, it is crucial to highlight the role of public education and screening programs in order to detect tumor in its early stages.

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Year:  2010        PMID: 20843115

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 in total

1.  Comparison of Artificial Neural Networks and Logistic Regression for 30-days Survival Prediction of Cancer Patients.

Authors:  Funda Secik Arkin; Gulfidan Aras; Elif Dogu
Journal:  Acta Inform Med       Date:  2020-06

2.  Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression.

Authors:  Shahrbanoo Goli; Hossein Mahjub; Javad Faradmal; Hoda Mashayekhi; Ali-Reza Soltanian
Journal:  Comput Math Methods Med       Date:  2016-11-01       Impact factor: 2.238

3.  The Direct Medical Costs of Breast Cancer in Iran: Analyzing the Patient's Level Data from a Cancer Specific Hospital in Isfahan.

Authors:  Majid Davari; Farkhondeh Yazdanpanah; Abolfazl Aslani; Mohsen Hosseini; Ali Reza Nazari; Fairborz Mokarian
Journal:  Int J Prev Med       Date:  2013-07
  3 in total

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