Developing and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patients

Zehra Füsun TOKATLI; Mevlüt TÜRE; İmran Kurt ÖMÜRLÜ; Ruşen Çoşar ALAS; Mustafa Cem UZAL

Makale detayları

Developing and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patients

Yazarlar:

Zehra Füsun TOKATLI | Mevlüt TÜRE | İmran Kurt ÖMÜRLÜ | Ruşen Çoşar ALAS | Mustafa Cem UZAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Medical Sciences 2011 Vol.41 Issue 5, pp.769-780

Belge Tipi:

Makale

Yayın Tarihi:

4/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000754549

Sıklık:

İki Aylık

eISSN:

1303-6165

pISSN:

1300-0144

Anahtar kelimeler:

Özet:

 

To determine 2 different prognostic indexes (PI) for the differentiation of subgroups of nonmetastatic breast cancer patients with the Cox regression analysis and survival tree (ST) methods and the additional usage of the Kaplan-Meier estimates to investigate the predictive power of these methods.   Materials and methods: Prognostic factors data were collected for 410 patients. The Cox regression analysis examines the relationship of the survival distribution and covariates. The ST method is a tree-structured survival analysis based on a recursive partitioning algorithm. In this study, Harrell's concordance indexes of models for training and test sets were computed. Furthermore, survival curves were estimated by the Kaplan-Meier method. Disease-free survival (DFS) was calculated from the time of initial diagnosis (initiation of the first treatment) to the first recurrence of disease.   Results: After a median follow-up of 48 months, 100 (24.4%) patients have had at least 1 of the DFS events. In Cox regression analysis, we proposed the simple PI, which is a sum of axillary nodal and HER2/neu status. In the ST method, we identified 3 variables: HER2/neu, axillary nodal, and estrogen receptor status. The axillary nodal status was the most important determining factor for recurrence.   Conclusion: We found that the PI of the ST and Cox regression methods had similar performance levels in predicting DFS, and the error rates of the models were close to each other in the training and test sets. Furthermore, we determined that the axillary nodal status and HER2/neu were the most important determining factors for prediction of DFS in breast cancer patients.

 

To determine 2 different prognostic indexes (PI) for the differentiation of subgroups of nonmetastatic breast cancer patients with the Cox regression analysis and survival tree (ST) methods and the additional usage of the Kaplan-Meier estimates to investigate the predictive power of these methods.   Materials and methods: Prognostic factors data were collected for 410 patients. The Cox regression analysis examines the relationship of the survival distribution and covariates. The ST method is a tree-structured survival analysis based on a recursive partitioning algorithm. In this study, Harrell's concordance indexes of models for training and test sets were computed. Furthermore, survival curves were estimated by the Kaplan-Meier method. Disease-free survival (DFS) was calculated from the time of initial diagnosis (initiation of the first treatment) to the first recurrence of disease.   Results: After a median follow-up of 48 months, 100 (24.4%) patients have had at least 1 of the DFS events. In Cox regression analysis, we proposed the simple PI, which is a sum of axillary nodal and HER2/neu status. In the ST method, we identified 3 variables: HER2/neu, axillary nodal, and estrogen receptor status. The axillary nodal status was the most important determining factor for recurrence.   Conclusion: We found that the PI of the ST and Cox regression methods had similar performance levels in predicting DFS, and the error rates of the models were close to each other in the training and test sets. Furthermore, we determined that the axillary nodal status and HER2/neu were the most important determining factors for prediction of DFS in breast cancer patients.

Makale detayları

Developing and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patients

Yazarlar:

Zehra Füsun TOKATLI | Mevlüt TÜRE | İmran Kurt ÖMÜRLÜ | Ruşen Çoşar ALAS | Mustafa Cem UZAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Medical Sciences 2011 Vol.41 Issue 5, pp.769-780

Belge Tipi:

Makale

Yayın Tarihi:

4/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000754549

Sıklık:

İki Aylık

eISSN:

1303-6165

pISSN:

1300-0144

Key words: Breast cancer

survival tree

recursive partitioning

disease-free survival

prognostic index

Sayı

Makale detayları

Developing and comparing two different prognostic indexes for predicting disease-free survival of nonmetastatic breast cancer patients

Yazarlar: Zehra Füsun TOKATLI | Mevlüt TÜRE | İmran Kurt ÖMÜRLÜ | Ruşen Çoşar ALAS | Mustafa Cem UZAL

Yayıncı: TUBITAK

Dergi: Turkish Journal of Medical Sciences 2011 Vol.41 Issue 5, pp.769-780

Belge Tipi: Makale

Yayın Tarihi: 4/2011

Belge Dili: Türkçe

Document ID (Org No.): 2000754549

Sıklık: İki Aylık

eISSN: 1303-6165

pISSN: 1300-0144

Key words: Breast cancer

survival tree

recursive partitioning

disease-free survival

prognostic index

Sayı

Yazarlar:

Zehra Füsun TOKATLI | Mevlüt TÜRE | İmran Kurt ÖMÜRLÜ | Ruşen Çoşar ALAS | Mustafa Cem UZAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Medical Sciences 2011 Vol.41 Issue 5, pp.769-780

Belge Tipi:

Makale

Yayın Tarihi:

4/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000754549

Sıklık:

İki Aylık

eISSN:

1303-6165

pISSN:

1300-0144