Back to Search Start Over

154P - Splenic metabolic activity as biomarker in cervical cancer.

154P - Splenic metabolic activity as biomarker in cervical cancer.

Authors :
De Jaeghere, E.A.
Laloo, F.
Lippens, L.
De Man, K.
Van Bockstal, M.
Van de Vijver, K.
Tummers, P.
Makar, A.
De Visschere, P.
De Wever, O.
Amant, F.
Denys, H.
Vandecasteele, K.
Source :
Annals of Oncology. 2019 Supplement 6, Vol. 30, pv47-v48. 2p.
Publication Year :
2019

Abstract

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. 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)SLR max and (Δ)SLR mean. 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. For preSLR max and preSLR mean , association with DFS was found for preSLR max >0.92 with HR = 2.25 (95% CI (1.08-4.66); p = 0.026) and for preSLR mean >0.94 with HR = 2.79 (95% CI (1.33-5.86); p = 0.005), respectively. The selected multivariate model consisted of three factors: preSLR max , ΔSLR max and parametrial invasion (dichotomized; HR = 6.40 95% CI (2.70-15.20); p < 0.001). The model's prognostic ability was quite favorable compared to FIGO staging (C-index 0.69 vs. 0.64). Further, uni- and multivariate analyses suggest that both low preSLR max and low preSLR mean influence pCR. Patients (n = 31) with high preSLR max had a higher density of CD3+,CD4+, CD8+, CD20+(77.8% vs. 36.4%; p = 0.036), CD68+ (88.9% vs. 40.9%; p = 0.015), CD163+, FoxP3+and PD-L1+immune cells, as well as PD-L1+tumor cells (85.7% vs. 55.6%; p = 0.019) in the primary tumor using IHC; the same trends were observed for preSLR mean SLR is a promising prognostic and predictive biomarker in CC and is associated with the tumor immune infiltrate. Ghent University Hospital. Research Foundation-Flanders (FWO). 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09237534
Volume :
30
Database :
Academic Search Index
Journal :
Annals of Oncology
Publication Type :
Academic Journal
Accession number :
152682801
Full Text :
https://doi.org/10.1093/annonc/mdz239.062