Prognostic immune markers for recurrence and survival in locally advanced esophageal adenocarcinoma

Oncotarget
Laila BabarAli H Zaidi

Abstract

Treatment options and risk stratification for esophageal adenocarcinomas (EAC) currently rely on pathological criteria such as tumor staging. However, with advancement in immune modulated treatments, there is a need for accurate predictive biomarkers that will help identify high-risk patients and provide novel therapeutic targets. Hence, we analyzed as prognostic classifiers a host of histopathological parameters in conjunction with novel immune biomarkers. Specifically, gene expression levels for CXCL9, IDO1, LAG3, and TIM3 were established in treatment naïve samples. Additionally, PD-L1 and CD8 positivity was determined by immunohistochemical staining. Based on our finding, a Cox model consisting of pathological complete response (CR), LAG3, and CXCL9 provided improved predictability for disease-free survival (DFS) compared to CR alone, and it demonstrated statistical significance for predictability of recurrence (p=0.0001). Likewise, for overall survival (OS), a Cox model constituted of TIM3, CR, and IDO1 performed better than CR alone, and it demonstrated statistical significance for predictability of survival (p = 0.0004). TIM3 was identified as the best predictor for OS (HR=4.43, p=0.0023). In conclusion, given the paucit...Continue Reading

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Citations

Nov 28, 2019·Cancer Communications·Tu-Xiong Huang, Li Fu

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Methods Mentioned

BETA
surgical resection
biopsy
biopsies
laser capture microdissection

Clinical Trials Mentioned

NCT03044613
NCT03610711

Software Mentioned

SAS

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