OBJECTIVES: A proportion of resectable pancreatic ductal adenocarcinoma (PDAC) patients display poorer survival due to profound local immune suppression. However, a pathological/morphological parameter that could functionally read out immune evasion and predict patient survival has not been defined. This study investigated the feasibility of heterotypic cell-in-cell (CIC) structures for immune cell cannibalism by tumor cells to serve as a parameter for survival prediction in resectable PDAC patients.
METHODS: A total of 410 samples from PDAC patients were examined using the methods of "EML" multiplex staining or immunohistochemistry (IHC). Prognostic CIC candidates were initially identified in samples plotted in tissue microarray (n=300), then independently validated in specimens from the First Affiliated Hospital of Sun Yat-Sen University (n=110). The Kaplan - Meier estimator and/or the Cox regression model were used for univariate and multivariate analysis. A nomogram was made using the Regression Modeling Strategies.
RESULTS: CICs were prevalent in cancerous (203/235) but not non-malignant tissues (15/147). Among the 4 CIC subtypes identified, 2 heterotypic subtypes with tumor cells internalizing CD45+ lymphocytes (LiT, mOS = 8 vs. 14.5 months, p = 0.008) or CD68+ monocytes (MiT, mOS = 7.5 vs. 15 months, p = 0.001), and overall CICs (oCIC, mOS = 10 vs. 27 months, p = 0.021), but not homotypic CICs (TiT, p = 0.089), were identified in univariate analysis as adverse prognostic factors of overall survival (OS) of PDAC. Notably, through cannibalism of immune cells by tumor cells, heterotypic CICs (L/MiT: LiT plus MiT) could independently predict shorter OS (HR = 1.85, p = 0.008) in multivariate analysis, with a performance comparable or even superior to traditional clinicopathological parameters such as histological grade (HR = 1.78, p = 0.012) and TNM stage (HR=1.64, p = 0.108). This was confirmed in the validation cohort, where L/MiT (HR = 1.71, p = 0.02) and tumor-node-metastasis (TNM) stage (HR = 1.66, p = 0.04) were shown to be independent adverse prognostic factors. Moreover, L/MiT stood out as the most prominent contributor in nomogram models constructed for survival prediction (area under the curve = 0.696 at 14 months), the dropout of which compromised prediction performance (area under the curve = 0.661 at 14 months). Furthermore, stratification analysis indicated that L/MiT tended preferentially to impact young and female patients (HR = 11.61, p < 0.0001, and HR = 9.55, p = 0.0008, respectively) in particular with early-stage and low-grade PDAC (HR = 2.37, p < 0.0001, and HR = 2.19, p < 0.0001, respectively), while TNM stage demonstrated little preference.