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Pan-immune-inflammation value independently predicts disease recurrence in patients with Merkel cell carcinoma

PURPOSE: We aimed to determine whether the pan-immune-inflammation value (PIV) of patients with Merkel cell carcinoma (MCC) at primary diagnosis differs from controls and whether it is associated with disease stage and outcome. METHODS: In this retrospective study, we recruited MCC patients with sta...

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Detalles Bibliográficos
Autores principales: Gambichler, T., Said, S., Abu Rached, N., Scheel, C. H., Susok, L., Stranzenbach, R., Becker, J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508022/
https://www.ncbi.nlm.nih.gov/pubmed/35098389
http://dx.doi.org/10.1007/s00432-022-03929-y
Descripción
Sumario:PURPOSE: We aimed to determine whether the pan-immune-inflammation value (PIV) of patients with Merkel cell carcinoma (MCC) at primary diagnosis differs from controls and whether it is associated with disease stage and outcome. METHODS: In this retrospective study, we recruited MCC patients with stage I–III. PIV was calculated from absolute complete blood cell counts obtained within one week at MCC diagnosis as follows: [neutrophils (10(3)/mm(3)) × platelets (10(3)/mm(3)) × monocytes (10(3)/mm(3))]/lymphocytes (10(3)/mm(3)). As controls, we studied age–gender-matched cutaneous melanoma (CM, stage I–III) patients and healthy controls (HC). Univariate and multivariate statistics were used. RESULTS: The median PIV in MCC patients was significantly increased compared to both CM patients as well as healthy controls. PIV of MCC patients in stage II and III was significantly higher compared to stage I patients. ROC analysis revealed that MCC recurrence was significantly associated with a PIV greater than 372 [p < 0.0001, Youden index 0.58; hazard ratio: 4 (95% confidence interval: 1.7 to 9.2)]. In multivariate analysis, only a PIV greater than 372 and higher MCC stage were determined as independent predictors for disease recurrence. CONCLUSION: We determined, for the first time, the prognostic ability of the promising blood-based biomarker PIV in MCC patients and observed that PIV is increased in MCC patients in dependence on disease stage and independently predicts MCC recurrence.