Literature DB >> 16199422

Identifying good prognosis group of breast cancer patients with 1-3 positive axillary nodes for adjuvant cyclophosphamide, methotrexate and 5-fluorouracil (CMF) chemotherapy.

Yung-Chang Lin1, Shin-Cheh Chen, Hsien-Kun Chang, Swei Hsueh, Chien-Sheng Tsai, Yung-Feng Lo, Tsann-Long Hwang, Miin-Fu Chen.   

Abstract

OBJECTIVE: We conducted a retrospective analysis of prognosis factors for survival in breast cancer patients with 1-3 axillary lymph node metastases and tried to identify a subset of patients with good prognosis suitable for cyclophosphamide, methotrexate and 5-fluorouracil (CMF) adjuvant chemotherapy.
METHODS: A cohort of 446 breast cancer patients received definite surgery and adjuvant chemotherapy with CMF at Chang Gung Memorial Hospital from 1990 to 1998. They were enrolled in the study. The median follow-up time was 69 months. Prognostic factors including age, tumor size, number of involved nodes, steroid receptor status, tumor ploidy, synthetic-phase fraction, histologic grade and administration of tamoxifen were analysed for disease-free survival (DFS) and overall survival (OS) by Cox regression model.
RESULTS: The estimated 5 year OS and DFS for all patients were 85.4 and 71.5%, respectively. Multivariate analysis revealed that tumor size, age and estrogen receptor (ER) status were independent prognostic factors for OS, and tumor size, age, ER status and number of involved nodes were independent prognostic factors for DFS. The 5 year OS rates of the low-risk group (age >40, tumor < or =3 cm and positive ER) and average-risk group (either age < or =40, tumor >3 cm or negative ER) were 98.8 and 82.4%, respectively (P = 0.0001). The 5 year DFS of the low-risk and high-risk group were 88.2 and 67.7%, respectively (P = 0.0001).
CONCLUSION: Among breast cancer patients with 1-3 positive lymph nodes excellent survival rate was found in those who had favorable prognostic factors, including age >40, tumor size < or =3 cm and positive ER. Adjuvant chemotherapy with CMF regimen is optimal for these low-risk patients.

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Year:  2005        PMID: 16199422     DOI: 10.1093/jjco/hyi143

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  5 in total

Review 1.  Reporting methods in studies developing prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Susan Dutton; Rachel Waters; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

Review 2.  Reporting performance of prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Rachel Waters; Susan Dutton; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

3.  A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning.

Authors:  Mohammad R Mohebian; Hamid R Marateb; Marjan Mansourian; Miguel Angel Mañanas; Fariborz Mokarian
Journal:  Comput Struct Biotechnol J       Date:  2016-12-06       Impact factor: 7.271

4.  Long-Term Outcomes of Breast Cancer Patients Who Underwent Selective Neck Dissection for Metachronous Isolated Supraclavicular Nodal Metastasis.

Authors:  Shin-Cheh Chen; Shih-Che Shen; Chi-Chang Yu; Ting-Shuo Huang; Yung-Feng Lo; Hsien-Kun Chang; Yung-Chang Lin; Wen-Ling Kuo; Hsiu-Pei Tsai; Hsu-Huan Chou; Li-Yu Lee; Yi-Ting Huang
Journal:  Cancers (Basel)       Date:  2021-12-29       Impact factor: 6.639

5.  Real-world outcomes of postmastectomy radiotherapy in breast cancer patients with 1-3 positive lymph nodes: a retrospective study.

Authors:  Imjai Chitapanarux; Ekkasit Tharavichitkul; Somvilai Jakrabhandu; Pitchayaponne Klunklin; Wimrak Onchan; Jirawattana Srikawin; Nantaka Pukanhaphan; Patrinee Traisathit; Roy Vongtama
Journal:  J Radiat Res       Date:  2013-06-20       Impact factor: 2.724

  5 in total

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