LAUSR

Abstract Background Inflammation has a significant impact on cervical cancer (CC) development and therapy response. We sought to determine if splenic metabolic activity reflects host immune status and could improve prognostic and predictive categorization of CC. Methods Ninety-two consecutive patients with FIGO stage IB1 to IVB CC who received neo-adjuvant (chemo)radiation (NA-CRT) with curative intent were included. PET scans were performed at diagnosis and after completion of the NA-CRT. PET images were retrospectively assessed for pretreatment spleen-to-liver SUV ratio (preSLR), posttreatment spleen-to-liver SUV ratio (postSLR) and ΔSLR (post-pre) on Oasis Nuclear Medicine Workstations. (Δ)SLR was calculated as both (Δ)SLRmaxand (Δ)SLRmean. The prognostic (DFS) and predictive (pCR) abilities of these variables together with established predictors were calculated by C-index and ROC analysis, respectively. The optimal long-rank statistic and Youden index determined cutoff values. Multivariate Cox proportional hazard regression models were ranked based on their Akaike information criterion (AIC). Clinicopathological differences between patients with low or high SLR were performed by chi-square and Mann-Whitney U tests. Results For preSLRmaxand preSLRmean, association with DFS was found for preSLRmax>0.92 with HR = 2.25 (95% CI (1.08-4.66); p = 0.026) and for preSLRmean>0.94 with HR = 2.79 (95% CI (1.33-5.86); p = 0.005), respectively. The selected multivariate model consisted of three factors: preSLRmax, ΔSLRmaxand parametrial invasion (dichotomized; HR = 6.40 95% CI (2.70-15.20); p  Conclusions SLR is a promising prognostic and predictive biomarker in CC and is associated with the tumor immune infiltrate. Legal entity responsible for the study Ghent University Hospital. Funding Research Foundation-Flanders (FWO). Disclosure E.A. De Jaeghere: Travel / Accommodation / Expenses: PharmaMar. F. Laloo: Honoraria (institution): Bayer. K. De Man: Travel / Accommodation / Expenses: Bayer. H. Denys: Honoraria (institution), Travel / Accommodation / Expenses: Pfizer; Honoraria (institution), Research grant / Funding (institution), Travel / Accommodation / Expenses: Roche; Honoraria (institution), Travel / Accommodation / Expenses: PharmaMar; Travel / Accommodation / Expenses: Teva; Honoraria (institution), Travel / Accommodation / Expenses: AstraZeneca; Honoraria (institution): Eli Lilly and Company; Honoraria (institution): Novartis; Honoraria (institution): Amgen; Honoraria (institution): Tesaro. K. Vandecasteele: Travel / Accommodation / Expenses: PharmaMar. All other authors have declared no conflicts of interest.