Masked Translation Priming Effects for Chinese-English-Japanese Triple Cognates in Lexical Decision Tasks.

Previous research has demonstrated cognate translation priming effects in masked priming lexical decision tasks (LDTs) even when a bilingual's two languages have different scripts. Because those effect sizes are normally larger than with noncognates, the effects have been partially attributed to the impact of prime-target phonological similarity. The present research extended that work by examining priming effects when using triple different-script cognates, i.e., /ka1 feɪ1/-coffee-コーヒー/KoRhiR/. Specifically, masked cognate priming effects were examined in six different priming directions (i.e., L1↔L2, L1↔L3, and L2↔L3) for Chinese-English-Japanese trilinguals using LDTs. Significant priming effects were observed only when the primes were from the stronger language. This asymmetric pattern suggests that the phonological similarity of cognate primes only facilitates the processing of different-script triple cognates to the extent that the processing of the prime is robust enough to make phonology available before target processing is finished.

Computational Modeling to Determine the Effect of Phenotypic Heterogeneity in Tumors on the Collective Tumor-Immune Interactions.

Tumor immunotherapy aims to maintain or enhance the killing capability of CD8+ T cells to clear tumor cells. The tumor-immune interactions affect the function of CD8+ T cells. However, the effect of phenotype heterogeneity of a tumor mass on the collective tumor-immune interactions is insufficiently investigated. We developed the cellular-level computational model based on the principle of cellular Potts model to solve the case mentioned above. We considered how asymmetric division and glucose distribution jointly regulated the transient changes in the proportion of proliferating/quiescent tumor cells in a solid tumor mass. The evolution of a tumor mass in contact with T cells was explored and validated by comparing it with previous studies. Our modeling exhibited that proliferating/quiescent tumor cells, exhibiting distinct anti-apoptotic and suppressive behaviors, redistributed within the domain accompanied by the evolution of a tumor mass. Collectively, a tumor mass prone to a quiescent state weakened the collective suppressive functions of a tumor mass on cytotoxic T cells and triggered a decline of apoptosis of tumor cells. Although quiescent tumor cells did not sufficiently do their inhibitory functions, the possibility of long-term survival was improved due to their interior location within a mass. Overall, the proposed model provides a useful framework to investigate collective-targeted strategies for improving the efficiency of immunotherapy.

The modeling study of the effect of morphological behaviors of extracellular matrix fibers on the dynamic interaction between tumor cells and antitumor immune response.

Low response rate limits the effective application of immunotherapy, in which the interactions between tumor cells and immune cells play a significant role. The strength of regulation could be mediated by extracellular matrix (ECM) fibers, which is still insufficiently investigated. In the study, the cellular potts model was utilized to explore the role of morphological properties of ECM in tumor-immune interactions. It was observed that high-density random ECM fibers delayed the interaction between tumor cells and T cells. Moreover, the tumor-immune interactions were ECM morphology-specific. Radial ECM fibers exhibited weaker inhibitory role in the process of contact between tumor cells and T cells. This study provided the useful mechanism of tumor-immune interactions from the viewpoint of morphological effect of ECM fibers, facilitating improving the efficiency of immunotherapy.