Pan-immune-inflammation value independently predicts disease recurrence in patients with Merkel cell carcinoma
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Published:2022-01-31
Issue:11
Volume:148
Page:3183-3189
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ISSN:0171-5216
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Container-title:Journal of Cancer Research and Clinical Oncology
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language:en
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Short-container-title:J Cancer Res Clin Oncol
Author:
Gambichler T.ORCID, Said S., Abu Rached N., Scheel C. H., Susok L., Stranzenbach R., Becker J. C.
Abstract
Abstract
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 (103/mm3) × platelets (103/mm3) × monocytes (103/mm3)]/lymphocytes (103/mm3). 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.
Funder
Universitätsklinikum der Ruhr-Universität Bochum
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
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