Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, Bochum, Germany.
Department of Radiology, Ruhr-University Bochum, Bochum, Germany.
J Cancer Res Clin Oncol. 2022 Nov;148(11):3103-3108. doi: 10.1007/s00432-021-03878-y. Epub 2022 Jan 10.
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.
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.
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).
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.
评估免疫检查点抑制剂(ICI)治疗下皮肤黑色素瘤(CM)患者的泛免疫炎症值(PIV)和全身免疫炎症指数(SII)。
在转移性 CM(III/IV 期)患者开始 ICI 治疗前和进展/死亡时计算 PIV 和 SII。I/II 期 CM 患者和健康对照(HC)作为对照,按性别和年龄匹配。
III/IV 期患者的中位 PIV 明显高于 I/II 期患者和 HC(P=0.0011)。HC 的 SII 明显低于 CM 患者(P=0.00044)。基线时,PIV 和 SII 与乳酸脱氢酶显著相关(P=0.045/0.017)。然而,ROC 曲线统计显示,SII 和 PIV 与临床参数无显著相关性,包括对 ICI 治疗的最佳反应(P=0.87/0.64)、无进展生存期(P=0.73/0.91)和黑色素瘤特异性生存期(P=0.13/0.17)。此外,从基线到进展/死亡,PIV 和 SII 没有显著变化(P=0.38/0.52)。
尽管这两种免疫炎症生物标志物分别在 CM 分期和 HC 之间具有一定的区分能力,但 PIV 和 SII 似乎不是 ICI 治疗下 CM 患者临床结局的显著预测指标。