Purpose To evaluate the pan-immune-inflammation value (PIV) and systemic immune-inflammation index (SII) in patients with cutaneous melanoma (CM) under immune checkpoint inhibitor (ICI) therapy. Methods PIV and SII were calculated before the start of ICI therapy and at time of progression/death in patients with metastatic CM (stage III/IV). Sex–age-matched CM patients in stage I/II and healthy subjects (HC) served as controls. Results The median PIV of stage III/IV patients was significantly (P = 0.0011) higher than in stage I/II patients and HC. SII was significantly (P = 0.00044) lower in HC than in CM patients. At baseline, PIV and SII did significantly correlate with lactate dehydrogenase (P = 0.045/0.017). However, ROC curve statistics revealed that SII and PIV were not significantly associated with clinical parameters, including best response to ICI treatment (P = 0.87/0.64), progression-free survival (P = 0.73/0.91), and melanoma-specific survival (P = 0.13/0.17). Moreover, there were no significant changes of PIV and SII from baseline to progression/death (P = 0.38/0.52). Conclusions Even though both immune-inflammation biomarkers showed some power to differentiate between CM stages and HC, respectively, PIV and SII seem not to be significant predictors for clinical outcome measures of CM patients under ICI therapy.

The purpose was to evaluate the prognostic performance of the derived neutrophil–to-lymphocyte ratio (dNLR) in patients with metastatic cutaneous melanoma (CM) treated with immune checkpoint inhibitors (ICI). We retrospectively investigated 41 CM patients with stage IV disease who had the indication for treatment with ICI. dNLR as well as NLR were routinely determined prior to the start of ICI treatment. The dNLR and NLR were calculated as follows: dNLR = absolute neutrophil counts (ANC)/white blood cell count −ANC and NRL = ANC/absolute lymphocyte counts, respectively. Follow-up of the patients was performed in line with current guidelines. In univariate analysis, dNLR (p = 0.027 and p = 0.032) as well as NLR (p = 0.0023 and p = 0.0036) were the only parameters which were significantly associated with the best overall response (BOR) and disease control rate (DCR) on ROC curve analyses. NLR negatively correlated with CM-specific survival (r = −0.32, p = 0.043). CM-specific deaths were significantly associated with the absence of immune-related adverse events (p = 0.043), elevated S100 calcium-binding protein B (S100B) at baseline (p = 0.0006), and dNLR (p = 0.024). In multivariate analyses, NLR was the only significant independent predictor for BOR (p = 0.014; odds ratio: 1.7; and 95% CI 1.11 to 2.61) and DCR (p = 0.019; odds ratio: 1.5; and 95% CI 1.07 to 2.19). Regarding CM-specific death, however, normal baseline S100B was the only significant independent predictor (p = 0.0020; odds ratio: 0.074; and 95% CI 0.014 to 0.38) for survival. Our data demonstrate that baseline NLR seems to be superior to dNLR in the prediction of ICI response in CM patients.

Prognostic biomarkers derived from complete blood count (CBC) have received marked interest as an indirect measure of the inflammatory pressure in cancers such as metastatic melanoma. Here, we evaluated the novel pan-immune-inflammation value (PIV) and the frequently assessed neutrophil/lymphocyte ratio (NLR) in a large cohort of patients with cutaneous melanoma (CM) without distant metastases (stages I to III). PIV and NLR were calculated at CM diagnosis. Healthy controls were also included. We used the Kaplan–Meier method to estimate crude survival probabilities and used Cox proportional hazards regression for multiple adjustment of hazard ratios. We observed that higher PIV (HR: 1.72, 95% CI 1.14 to 2.58 and HR: 1.696, 95% CI 1.029 to 2.795, respectively) and NLR (HR: 1.70, 95% CI 1.10 to 2.62) values were associated with CM relapse and CM-specific death in the crude analysis. However, when adjusting for potential confounders, in particular age and tumor thickness, the total effect of PIV and NLR on CM-relapse-free (HR: 1.28, 95% CI 0.83 to 1.98 and HR: 1.26, 95% CI 0.80 to 1.98, respectively) and CM-specific survival (HR: 1.36, 95% CI 0.80 to 2.30 and HR: 1.37, 95% CI 0.80 to 2.33, respectively) was substantially reduced. However, both PIV and NLR were positively correlated with age and tumor thickness, which are important independent predictors for CM relapse and CM-specific death. In conclusion, in stage I to III CM patients PIV as well as NLR appear to be confounded by age and tumor thickness and probably have no potential to further improve the prediction of survival of stage I to III CM patients beyond standard prognostic factors.

Vaccination against the SARS‐CoV‐2 virus is a milestone in combating the current pandemic. Nevertheless, there is increasing evidence that COVID‐19 vaccination also may trigger immune‐ or autoimmune‐mediated skin diseases. We here report the association of COVID‐19 vaccination with sarcoidal immune reaction.