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A. Goldhirsch, J. Glick, R. Gelber, A. Coates, B. Thürlimann, H. Senn, Panel Members (2005)
Meeting highlights: international expert consensus on the primary therapy of early breast cancer 2005.Annals of oncology : official journal of the European Society for Medical Oncology, 16 10
D. Cox (1972)
Regression models and life tables (with discussion
B. Jiffry, A. Ezzat, J. Hildell, H. Kfoury, A. Rostom, O. Sjoklint, S. Sobhi, R. Sorbris, R. Stuart, S. Ingemansson (1998)
Surgical management of breast cancer in Saudi Arabia: A call for improvement.Annals of Saudi medicine, 18 6
(1995)
Analysing Data from Clinical Trials and Observational Studies
(1997)
Global cancer statistics , 2002 An overview of breast cancer
D. Parkin, F. Bray, J. Ferlay, P. Pisani (2005)
Global Cancer Statistics, 2002CA: A Cancer Journal for Clinicians, 55
T. Tamimi, E. Ibrahim, A. Ibrahim, A. Al-Bar, S. Assuhaimi, G. Gabriel, A. Mishriky, H. Al-Idrissi, M. Al-Sohaibani, M. Al-Sibai (1997)
Cancer in the Eastern Region of Saudi Arabia: A population-based study (1987-1988).Annals of Saudi medicine, 17 1
L. George (2003)
The Statistical Analysis of Failure Time DataTechnometrics, 45
A. Tsuchiya, M. Kanno, R. Abe (1997)
The impact of lymph node metastases on the survival of breast cancer patients with ten or more positive lymph nodesSurgery Today, 27
S. Singletary, C. Allred, P. Ashley, L. Bassett, D. Berry, K. Bland, P. Borgen, G. Clark, S. Edge, D. Hayes, L. Hughes, R. Hutter, M. Morrow, D. Page, A. Recht, R. Theriault, A. Thor, D. Weaver, H. Wieand, F. Greene (2002)
Revision of the American Joint Committee on Cancer staging system for breast cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 20 17
R. Kay (1977)
Proportional Hazard Regression Models and the Analysis of Censored Survival DataJournal of The Royal Statistical Society Series C-applied Statistics, 26
A. Ezzat, M. Raja, A. Rostom, Ferdinand Zwaan, M. Akhtar, S. Bazarbashi, S. Ingemansson, Abdulmajeed Al-Abdulkareem (1997)
An overview of breast cancer.Annals of Saudi medicine, 17 1
W. Anderson, I. Jatoi, S. Devesa (2005)
Distinct breast cancer incidence and prognostic patterns in the NCI’s SEER program: suggesting a possible link between etiology and outcomeBreast Cancer Research and Treatment, 90
A. Jemal, F. Bray, Melissa Center, J. Ferlay, Elizabeth Ward, D. Forman (2011)
Global cancer statisticsCA: A Cancer Journal for Clinicians, 61
E. Kaplan, P. Meier (1958)
Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 53
V. Vinh-Hung, H. Verkooijen, G. Fioretta, I. Neyroud‐Caspar, E. Rapiti, G. Vlastos, Carole Déglise, M. Usel, J. Lutz, C. Bouchardy (2009)
Lymph node ratio as an alternative to pN staging in node-positive breast cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 27 7
C. Cluze, M. Colonna, L. Remontet, F. Poncet, E. Sellier, Arnaud Seigneurin, P. Delafosse, Nadine Bossard (2009)
Analysis of the effect of age on the prognosis of breast cancerBreast Cancer Research and Treatment, 117
(1982)
Confidence interval for the median survival
J. Figueiredo, M. Ennis, J. Knight, J. McLaughlin, N. Hood, F. O'Malley, I. Andrulis, P. Goodwin (2007)
Influence of young age at diagnosis and family history of breast or ovarian cancer on breast cancer outcomes in a population-based cohort studyBreast Cancer Research and Treatment, 105
A. Al-Bar, E. Ibrahim, T. al-Tamimi, S. Assuhaimi, A. Ibrahim, G. Gabriel, A. Mishriky (1996)
Leukemia in the eastern region of Saudi Arabia: A population-based study (1987-1988).Annals of Saudi medicine, 16 5
E. Ibrahim, A. Ezzat, M. Rahal, Madras Raja, D. Ajarim (2005)
Adjuvant chemotherapy in 780 patients with early breast cancerMedical Oncology, 22
R. Brookmeyer, J. Crowley (1982)
A Confidence Interval for the Median Survival TimeBiometrics, 38
D. Hinkley (2008)
Bootstrap Methods: Another Look at the Jackknife
W. Woodward, V. Vinh-Hung, N. Ueno, Y. Cheng, M. Royce, P. Tai, G. Vlastos, A. Wallace, G. Hortobagyi, Y. Nieto (2006)
Prognostic value of nodal ratios in node-positive breast cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 24 18
N. Mantel (1966)
Evaluation of survival data and two new rank order statistics arising in its consideration.Cancer chemotherapy reports, 50 3
M. Overgaard, P. Hansen, J. Overgaard, C. Rose, M. Andersson, F. Bach, M. Kjaer, C. Gadeberg, H. Mouridsen, M. Jensen, K. Zedeler (1997)
Postoperative radiotherapy in high-risk premenopausal women with breast cancer who receive adjuvant chemotherapy. Danish Breast Cancer Cooperative Group 82b Trial.The New England journal of medicine, 337 14
S. Masood (2005)
Prognostic/predictive factors in breast cancer.Clinics in laboratory medicine, 25 4
Ann Knoop, S. Bentzen, M. Nielsen, B. Rasmussen, C. Rose (2001)
Value of epidermal growth factor receptor, HER2, p53, and steroid receptors in predicting the efficacy of tamoxifen in high-risk postmenopausal breast cancer patients.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 19 14
Ibrahim Ibrahim, Ezzat Ezzat, Rahal Rahal, Raja Raja, Ajarim Ajarim (2005)
Adjuvant chemotherapy in 780 patients with early breast cancer: 10‐year data from Saudi ArabiaMed Oncol, 22
Kingdom of Saudi Arabia Ministry of Health. Saudi Cancer Registry
Avina Kapoor, V. Vogel (2005)
Prognostic factors for breast cancer and their use in the clinical settingExpert Review of Anticancer Therapy, 5
Aim: Women in Saudi Arabia develop breast cancer at a young age with high prevalence of poor prognostic features. Because of such features, it is necessary to examine prognostic factors in this population. One such factor is the prognostic role of lymph node ratio (LNR). Methods: We performed retrospective analyses of patients with invasive non‐metastatic breast cancer who underwent axillary lymph node dissection and had one or more positive axillary lymph nodes. Results: Two hundred and seventeen patients were considered eligible for the analysis. The median age was 46 years. At a median follow‐up of 39.8 months, the median disease‐free survival (DFS) was 67.3 months (95% CI, 50.4 to 84.3 months). Neither the classification of patients based on positive lymph node (pN) staging system, nor the absolute number of pN prognosticated DFS. Conversely, age ≤ 35 years at diagnosis, grade 3 tumors and the intermediate (>0.20 to ≤0.65) and high (>0.65) LNR categories were the only variables that were independently associated with adverse DFS. Using these variables in a prognostic model allowed the classification of patients into three distinctive risk strata. The overall survival (OS) in this series was 92.5 months (95% CI, 92.1–92.6). Only ER negative tumor adversely influenced OS. Conclusion: Analysis of survival outcome of mostly young patients with early breast cancer identified adverse prognostic variables affecting DFS. If the utility of the derived model including LNR is proven in a larger patient population, it may replace the use of absolute number of positive axillary lymph nodes.
Asia-Pacific Journal of Clinical Oncology – Wiley
Published: Jun 1, 2010
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