Faculty Bibliography

Certain tumor phenomena, like metabolic heterogeneity and local stable regions of chronic hypoxia, signify a tumor's resistance to therapy. Although recent research has shed light on the intracellular mechanisms of cancer metabolic reprogramming, little is known about how tumors become metabolically heterogeneous or chronically hypoxic, namely the initial conditions and spatiotemporal dynamics that drive these cell population conditions. To study these aspects, we developed a minimal, spatially-resolved simulation framework for modeling tissue-scale mixed populations of cells based on diffusible particles the cells consume and release, the concentrations of which determine their behavior in arbitrarily complex ways, and on stochastic reproduction. We simulate cell populations that self-sort to facilitate metabolic symbiosis, that grow according to tumor-stroma signaling patterns, and that give rise to stable local regions of chronic hypoxia near blood vessels. We raise two novel questions in the context of these results: (1) How will two metabolically symbiotic cell subpopulations self-sort in the presence of glucose, oxygen, and lactate gradients? We observe a robust pattern of alternating striations. (2) What is the proper time scale to observe stable local regions of chronic hypoxia? We observe the stability is a function of the balance of three factors related to O2-diffusion rate, local vessel release rate, and viable and hypoxic tumor cell consumption rate. We anticipate our simulation framework will help researchers design better experiments and generate novel hypotheses to better understand dynamic, emergent whole-tumor behavior.

There is growing evidence that stress-coping mechanisms represent tumor cell vulnerabilities that may function as therapeutically beneficial targets. Recent work has delineated an integrated stress adaptation mechanism that is characterized by the formation of cytoplasmic mRNA and protein foci, termed stress granules (SGs). Here, we demonstrate that SGs are markedly elevated in mutant KRAS cells following exposure to stress-inducing stimuli. The upregulation of SGs by mutant KRAS is dependent on the production of the signaling lipid molecule 15-deoxy-delta 12,14 prostaglandin J2 (15-d-PGJ2) and confers cytoprotection against stress stimuli and chemotherapeutic agents. The secretion of 15-d-PGJ2 by mutant KRAS cells is sufficient to enhance SG formation and stress resistance in cancer cells that are wild-type for KRAS. Our findings identify a mutant KRAS-dependent cell non-autonomous mechanism that may afford the establishment of a stress-resistant niche that encompasses different tumor subclones. These results should inform the design of strategies to eradicate tumor cell communities.

Inflammation is paramount in pancreatic oncogenesis. We identified a uniquely activated gammadeltaT cell population, which constituted approximately 40% of tumor-infiltrating T cells in human pancreatic ductal adenocarcinoma (PDA). Recruitment and activation of gammadeltaT cells was contingent on diverse chemokine signals. Deletion, depletion, or blockade of gammadeltaT cell recruitment was protective against PDA and resulted in increased infiltration, activation, and Th1 polarization of alphabetaT cells. Although alphabetaT cells were dispensable to outcome in PDA, they became indispensable mediators of tumor protection upon gammadeltaT cell ablation. PDA-infiltrating gammadeltaT cells expressed high levels of exhaustion ligands and thereby negated adaptive anti-tumor immunity. Blockade of PD-L1 in gammadeltaT cells enhanced CD4+ and CD8+ T cell infiltration and immunogenicity and induced tumor protection suggesting that gammadeltaT cells are critical sources of immune-suppressive checkpoint ligands in PDA. We describe gammadeltaT cells as central regulators of effector T cell activation in cancer via novel cross-talk.

SOS is a key activator of the small GTPase Ras. In cells, SOS-Ras signaling is thought to be initiated predominantly by membrane recruitment of SOS via the adaptor Grb2 and balanced by rapidly reversible Grb2-SOS binding kinetics. However, SOS has multiple protein and lipid interactions that provide linkage to the membrane. In reconstituted-membrane experiments, these Grb2-independent interactions were sufficient to retain human SOS on the membrane for many minutes, during which a single SOS molecule could processively activate thousands of Ras molecules. These observations raised questions concerning how receptors maintain control of SOS in cells and how membrane-recruited SOS is ultimately released. We addressed these questions in quantitative assays of reconstituted SOS-deficient chicken B-cell signaling systems combined with single-molecule measurements in supported membranes. These studies revealed an essentially one-way trafficking process in which membrane-recruited SOS remains trapped on the membrane and continuously activates Ras until being actively removed via endocytosis.

Hypoxia in tumors signifies resistance to therapy. Despite a wealth of tumor histology data, including anti-pimonidazole staining, no current methods use these data to induce a quantitative characterization of chronic tumor hypoxia in time and space. We use image-processing algorithms to develop a set of candidate image features that can formulate just such a quantitative description of xenographed colorectal chronic tumor hypoxia. Two features in particular give low-variance measures of chronic hypoxia near a vessel: intensity sampling that extends radially away from approximated blood vessel centroids, and multithresholding to segment tumor tissue into normal, hypoxic, and necrotic regions. From these features we derive a spatiotemporal logical expression whose truth value depends on its predicate clauses that are grounded in this histological evidence. As an alternative to the spatiotemporal logical formulation, we also propose a way to formulate a linear regression function that uses all of the image features to learn what chronic hypoxia looks like, and then gives a quantitative similarity score once it is trained on a set of histology images.

Background: Pancreatic cancer is well known for its aggressive clinical course and resistance to chemotherapy. A Phase I trial of CD40 immunotherapy in combination with gemcitabine demonstrated the combination was safe and achieves tumor responses in patients with pancreatic ductal adenocarcinoma. We investigated the effectiveness of gemcitabine, albumin-bound paclitaxel and CD40 agonist immunotherapy in an orthotopic pancreatic mouse model. Methods: Pancreatic cells obtained from a Kras^G12D;Trp53^R172H (KPC) genetically engineered mouse were cultivated in cell culture and surgically implanted into the pancreata of immunocompetent syngeneic C57/Bl6 mice allowing for tumor formation in situ. Two weeks after KPC cell implantation, mice were treated with 120 mg/kg gemcitabine and 120 mg/kg nab-paclitaxel by intraperitoneal injection. Forty eight hours after chemotherapy administration, mice were treated with 100 ug of FGK45 CD40 immunotherapy. Mouse tumors and spleens were harvested from euthanized mice ten days after drug treatment. Tumor and spleens were analyzed histologically and by flow cytometry. Results: Mice treated with combination chemotherapy and immunotherapy had a significant reduction in tumor volume in comparison to vehicle treated mice. Combination chemotherapy did not cause a significant decrease in tumor volume. No changes were seen in stromal remodeling using trichrome histological staining. Mice treated with CD40 immunotherapy had an increase in spleen size indicating an immune response. Histological and flow cytometry analysis revealed an increase in CD45+ cells in the tumors of the CD40 immunotherapy treated samples in comparison to chemotherapy alone. Conclusions: CD40 immunotherapy in combination with gemcitabine and albumin-bound paclitaxel has significant antitumor activity in an orthotopic pancreatic cancer mouse model provoking an immune response in the tumors. Future experiments will focus on identifying immune mediators critical for drug efficacy

A salient feature of pancreatic ductal adenocarcinoma (PDA) is an abundant fibroinflammatory response characterized by the recruitment of immune and mesenchymal cells and the consequent establishment of a pro-tumorigenic microenvironment. Here we report the prominent presence of B cells in human pancreatic intraepithelial neoplasia (PanIN) and PDA lesions as well as in oncogenic K-Ras-driven pancreatic neoplasms in the mouse. The growth of orthotopic pancreatic neoplasms harboring oncogenic K-Ras was significantly compromised in B cell-deficient mice (muMT), and this growth deficiency could be rescued by the reconstitution of a CD1dhighCD5+ B cell subset. The pro-tumorigenic effect of B cells was mediated by their expression of IL-35 through a mechanism involving IL-35-mediated stimulation of tumor cell proliferation. Our results identify a previously unrecognized role for IL-35-producing CD1dhighCD5+ B cells in the pathogenesis of pancreatic cancer and underscore the potential significance of a B cell/IL-35 axis as a therapeutic target.

Uptake of nutrients, such as glucose and amino acids, is critical to support cell growth and is typically mediated by cell surface transporters. An alternative mechanism for the bulk uptake of nutrients from the extracellular space is macropinocytosis, a nonclathrin, and nonreceptor-mediated endocytic process, in which extracellular fluid is taken up into large intracellular vesicles called macropinosomes. Oncogenic transformation leads to the increased metabolic activity of tumor cells, and in the Ras-driven tumor part of this enhanced activity is the stimulation of macropinocytosis. To measure oncogene-dependent macropinocytosis, we used HeLa cells expressing oncogenic HRAS^G12D driven from a Tet-regulated promoter. Upon oncogenic HRAS expression, the cells undergo metabolic changes that include the elevation of macropinocytosis. We detected macropinocytosis through the uptake of lysine-fixable tetramethyl rhodamine (TMR)-Dextran (70kDa) from the cell media into nascent intracellular macropinosomes. These macropinosomes were quantified by image-based high-content analysis, with the size, intensity, and position of macropinosomes measured. Using this model system, we ran a full genome-wide siRNA screen (siGenome; GE) to identify genes involved in controlling oncogenic HRAS-dependent macropinocytosis. Hits from the primary screen were confirmed with siRNA reagents from a different library (GE, OTP), which allowed us to mitigate potential off-target effects. Candidate genes from this screen include known regulators of macropinocytosis as well as novel targets