The biology of solid tumors is strongly determined by the interactions of cancer cells with their surrounding microenvironment. In this regard, pancreatic cancer (pancreatic ductal adenocarcinoma, PDAC) represents a paradigmatic example for the multitude of possible tumor–stroma interactions. PDAC has proven particularly refractory to novel immunotherapies, which is a fact that is mediated by a unique assemblage of various immune cells creating a strongly immunosuppressive environment in which this cancer type thrives. In this review, we outline currently available knowledge on the cross-talk between tumor cells and the cellular immune microenvironment, highlighting the physiological and pathological cellular interactions, as well as the resulting therapeutic approaches derived thereof. Hopefully a better understanding of the complex tumor–stroma interactions will one day lead to a significant advancement in patient care.

Background: Cell motility is a critical parameter in many physiological as well as pathophysiological processes. In time-lapse video microscopy, manual cell tracking remains the most common method of analyzing migratory behavior of cell populations. In addition to being labor-intensive, this method is susceptible to user-dependent errors regarding the selection of "representative" subsets of cells and manual determination of precise cell positions. Results: We have quantitatively analyzed these error sources, demonstrating that manual cell tracking of pancreatic cancer cells lead to mis-calculation of migration rates of up to 410%. In order to provide for objective measurements of cell migration rates, we have employed multi-target tracking technologies commonly used in radar applications to develop fully automated cell identification and tracking system suitable for high throughput screening of video sequences of unstained living cells. Conclusion: We demonstrate that our automatic multi target tracking system identifies cell objects, follows individual cells and computes migration rates with high precision, clearly outperforming manual procedures.

Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) database via GoMiner. Directed acyclic graph representations, which are used to depict GO categories enriched with differentially expressed genes, are difficult to interpret and, depending on the particular analysis, may not be well suited for formulating new hypotheses. Additional graphical methods are therefore needed to augment the GO graphical representation.

Background: Methods: Conclusions:

Intratumoral cytotoxic CD8+ T cells (CTL) enter a dysfunctional state characterized by expression of coinhibitory receptors, loss of effector function, and changes in the transcriptional landscape. Even though several regulators of T-cell exhaustion have been identified, the molecular mechanisms inducing T-cell exhaustion remain unclear. Here, we show that IL18 receptor (IL18R) signaling induces CD8+ T-cell exhaustion in a murine pancreatic cancer model. Adoptive transfer of Il18r−/− OT-1 CD8+ CTLs resulted in enhanced rejection of subcutaneous tumors expressing ovalbumin (OVA) as a model antigen (PancOVA), compared with wild-type OT-1 CTLs. Transferred intratumoral IL18R-deficient CTLs expressed higher levels of effector cytokines TNF and IFNγ and had reduced expression of coinhibitory receptors (PD-1, TIM-3, 2B4, LAG-3) and the transcription factors Eomes and TOX. Lower expression of coinhibitory receptors and TOX on IL18R-deficient versus IL18R-sufficient CD8+ T cells were confirmed in an orthotopic KPC model. IL18R-induced T-cell exhaustion was regulated by IL2/STAT5 and AKT/mTOR pathways, as demonstrated in an in vitro exhaustion assay. Concordantly, mice deficient in NLRP3, the molecular complex activating IL18, had decreased expression of coinhibitory receptors on intratumoral T cells and similar changes in signaling pathways at the transcriptome level. Thus, molecular pathways promoting T-cell exhaustion indicate an involvement of an NLRP3-expressing tumor microenvironment, which mediates IL18 release. The Cancer Genome Atlas analysis of patients with pancreatic carcinoma showed an association between NLRP3-mediated IL18 signaling and shorter survival. These findings indicate NLRP3-mediated IL18R signaling as a regulator of intratumoral T-cell exhaustion and a possible target for immunotherapy. Watch the interview with Veronika Lutz, PhD, and Christian Bauer, MD, corecipients of the 2025 Cancer Immunology Research Award for Outstanding Journal Article: https://vimeo.com/1100470935 See related Spotlight by Stromnes, p. 400