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Systemic immune-inflammation index predicts the clinical outcome in patients with metastatic renal cell cancer treated with sunitinib

BACKGROUND: In this retrospective analysis, we explored the prognostic and predictive value of the systemic immune-inflammation index (SII), based on lymphocyte, neutrophil, and platelet counts, at baseline and changes at week 6 during first-line sunitinib in patients with metastatic renal cell canc...

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Detalles Bibliográficos
Autores principales: Lolli, Cristian, Basso, Umberto, Derosa, Lisa, Scarpi, Emanuela, Sava, Teodoro, Santoni, Matteo, Crabb, Simon J., Massari, Francesco, Aieta, Michele, Conteduca, Vincenza, Maruzzo, Marco, La Russa, Francesca, Wheater, Matthew, Berardi, Rossana, Galli, Luca, De Giorgi, Ugo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342364/
https://www.ncbi.nlm.nih.gov/pubmed/27409344
http://dx.doi.org/10.18632/oncotarget.10515
Descripción
Sumario:BACKGROUND: In this retrospective analysis, we explored the prognostic and predictive value of the systemic immune-inflammation index (SII), based on lymphocyte, neutrophil, and platelet counts, at baseline and changes at week 6 during first-line sunitinib in patients with metastatic renal cell cancer (RCC). RESULTS: Patients were stratified into high SII (≥ 730) and low SII (< 730) groups. SII was associated with objective response, p < 0.0001. The median PFS was 6.3 months (95% CI 5.5–8.9) in patients with SII ≥ 730 and 18.7 months (95% CI 14.7–22.8) in those with SII < 730, p < 0.0001. The median OS was 43.6 months (95% CI 35.3–52.1) in patients with SII < 730, and 13.5 months (95% CI 9.8–18.5) in those with SII ≥ 730, p < 0.0001. In multivariate analysis, performance status, IMDC score and SII were able to predict OS (HR = 3.29, HR = 1.71 and HR = 1.79, respectively). MATERIALS AND METHODS: We included 335 consecutive RCC patients treated with first-line sunitinib. The X-tile 3.6.1 software (Yale University, New Haven, CT) was used for bioinformatic analysis of the data to determine the cutoff value of SII. Progression-free survival (PFS), overall survival (OS) and their 95% confidence interval (95% CI) were estimated by Kaplan-Meier method and compared with logrank test. The impact of SII conversion at week 6 of treatment on PFS and OS was evaluated by Cox regression analyses. CONCLUSIONS: The SII and its changes during treatment represent a powerful prognostic indicator of clinical outcome in patients with metastatic RCC.