A risk score to predict disease-free survival in patients not achieving a pathological complete remission after preoperative chemotherapy for breast cancer.
Ann Oncol
; 20(7): 1178-84, 2009 Jul.
Article
en En
| MEDLINE
| ID: mdl-19218304
ABSTRACT
BACKGROUND:
We aimed to predict disease-free survival (DFS) in patients who failed to achieve a pathologic complete remission (pCR) after preoperative chemotherapy (PC). PATIENTS ANDMETHODS:
Data from 577 patients treated with PC and operated at the European Institute of Oncology (EIO) were used to develop a nomogram using Cox proportional hazards regression model based on both categorical (pT, positive nodes, human epidermal growth factor receptor 2 (HER2) status, vascular invasion) and continuous histological variables (estrogen receptors and Ki-67 expression) at surgery. The nomogram was tested on a second patient cohort (343 patients) treated in other institutions and subsequently operated at the EIO.RESULTS:
The nomogram for DFS based on both categorical and continuous variables had good discrimination in the training and the validation sets (concordance indices 0.73, 0.67).CONCLUSION:
The use of a nomogram based on the degree of selected histopathological variables can predict DFS and might help in the adjuvant therapeutic algorithm design.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias de la Mama
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Protocolos de Quimioterapia Combinada Antineoplásica
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Supervivencia sin Enfermedad
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Nomogramas
Tipo de estudio:
Etiology_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
Límite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Middle aged
Idioma:
En
Revista:
Ann Oncol
Asunto de la revista:
NEOPLASIAS
Año:
2009
Tipo del documento:
Article
País de afiliación:
Italia