BACKGROUND. The objective of this study was to identify prognostic factors for predicting survival in patients with advanced renal cell carcinoma (RCC) who had undergone an allogeneic stem cell transplantation after failure on immunotherapy. METHODS. The authors Studied 70 patients with advanced RCC Who underwent allogeneic transplantation with a fludarabine-based, reduced-intensity regimen. Ten parameters were analyzed at the time of transplantation for their power to predict Survival. Clinical features were examined first univariately; then, variables that were correlated significantly with Survival in the univariate analysis were included in a multivariate Cox regression model. RESULTS. Factors that were found to be associated significantly with limited survival were performance Status, the number of metastatic sites, the presence of mediastinal metastasis, hemoglobin level, C-reactive protein (CRP) level, lactate dehydrogenase (LDH) level, and neutrophil counts. All these variables were included in a multivariate Cox regression model, and three were retained in the final model. Patients were classified according to the score estimated by the final Cox model in two groups (above or below the median Value): The median Survival was 3.5 months for patients who had a poor prognosis patients versus 23 months for patients who had a good prognosis. CONCLUSIONS. The Current findings suggested that three easily available parameters (performance status, CRP level, and LDH level) could be used to stratify patients with advanced RCC who are candidates for allografting and to assist clinicians in decision-making and selection of an appropriate treatment program. (c) 2005 American Cancer Society. OI bregni, marco/0000-0002-3789-1199; SIENA, SALVATORE/0000-0002-2681-2846

Prognostic factors for survival in patients with advanced renal cell carcinoma undergoing nonmyeloablative allogeneic stem cell transplantation

Zambelli A;
2005-01-01

Abstract

BACKGROUND. The objective of this study was to identify prognostic factors for predicting survival in patients with advanced renal cell carcinoma (RCC) who had undergone an allogeneic stem cell transplantation after failure on immunotherapy. METHODS. The authors Studied 70 patients with advanced RCC Who underwent allogeneic transplantation with a fludarabine-based, reduced-intensity regimen. Ten parameters were analyzed at the time of transplantation for their power to predict Survival. Clinical features were examined first univariately; then, variables that were correlated significantly with Survival in the univariate analysis were included in a multivariate Cox regression model. RESULTS. Factors that were found to be associated significantly with limited survival were performance Status, the number of metastatic sites, the presence of mediastinal metastasis, hemoglobin level, C-reactive protein (CRP) level, lactate dehydrogenase (LDH) level, and neutrophil counts. All these variables were included in a multivariate Cox regression model, and three were retained in the final model. Patients were classified according to the score estimated by the final Cox model in two groups (above or below the median Value): The median Survival was 3.5 months for patients who had a poor prognosis patients versus 23 months for patients who had a good prognosis. CONCLUSIONS. The Current findings suggested that three easily available parameters (performance status, CRP level, and LDH level) could be used to stratify patients with advanced RCC who are candidates for allografting and to assist clinicians in decision-making and selection of an appropriate treatment program. (c) 2005 American Cancer Society. OI bregni, marco/0000-0002-3789-1199; SIENA, SALVATORE/0000-0002-2681-2846
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/64376
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 46
social impact