Pancreatic Cancer Microenvironment Research Articles

Apolipoprotein E is a prognostic factor for pancreatic cancer and associates with immune infiltration

BackgroundThe expression level of apolipoprotein E (APOE) in pancreatic ductal adenocarcinoma (PDAC) and its effect on the prognosis of PDAC patients are not clear. The effect of APOE on the immune status of patients with PDAC has not been elucidated. MethodsWe obtained pancreatic cancer data from the TCGA and GETx databases. Patients with PDAC who underwent pancreatic surgery at the Second Affiliated Hospital of Jiaxing University between 2012 and 2021 were included. Clinical pathological data were recorded, plasma APOE levels were measured, and tissue samples were collected. A tissue microarray was generated using the collected tissue samples. APOE and CD4 staining was performed to determine immunoreactive scores (IRSs). The expression of APOE in the plasma and tumour tissues of pancreatic cancer patients was analysed and compared. The correlations between plasma APOE levels, tissue APOE levels and clinicopathological characteristics were analysed. Survival prognosis was analysed using Kaplan-Meier survival analysis and Cox multivariate regression analysis. The correlations between APOE expression levels and immune biomarkers and immune cells were further analysed. Single-cell analysis of APOE distribution in various cells was performed on the TISCH website. ResultsAPOE was highly expressed in the tumour tissue of pancreatic cancer patients, and high plasma APOE levels were associated with poor prognosis. Females, patients with high-grade disease and patients with pancreatic head carcinoma had high plasma APOE levels. High APOE expression in tumour tissues was associated with good prognosis. Mononuclear macrophages in the pancreatic cancer microenvironment primarily expressed APOE. APOE levels positively correlated with immune biomarkers, such as CD8A, PDCD1, GZMA, CXCL10, and CXCL9, in the tumour microenvironment. APOE promoted CD4 + T cell or dendritic cell infiltration in the tumour microenvironment. ConclusionsAPOE may affect the occurrence and development of pancreatic cancer by regulating the infiltration of immune cells in the tumour microenvironment.

The Molecular Characteristics and Therapeutic Implications of O-Glycan Synthesis in Pancreatic Cancer by Integrating Transcriptome and Single-Cell Data.

Glycans constitute the primary components of proteins that regulate key carcinogenic processes in cancer progression. This study investigated the significance of O-glycan synthesis in the pathogenesis, outcome, and therapy of pancreatic cancer (PC). Transcriptomic data and clinical prognostic information of PC were acquired via TCGA and GEO databases. CSA database was used to obtain single-cell data of PC. The O-glycan biosynthesis signaling pathway and its related genes were acquired via the MSigDB platform. The nonnegative matrix factorization (NMF) clustering was utilized to construct the O-glycan biosynthesis-associated molecular subtypes in PC. The LASSO and Cox regression were utilized to build the prognostic prediction model. We utilized real-time quantitative PCR (qRT-PCR) to verify the expressed levels of model genes. Single-cell analysis was utilized to investigate the levels of target genes and O-glycan biosynthesis signaling pathway in the PC tumour microenvironment. We obtained 30 genes related to O-glycan biosynthesis, among which 15 were associated with the prognosis of PC. All PC samples were grouped into two distinct molecular subtypes associated with O-glycan biosynthesis: OGRGcluster C1 and OGRGcluster C2, and compared to OGRGcluster C1. PCs in OGRGcluster C2 had a more advanced clinical stage and pathological grade, worse prognosis, and more active O-glycan biosynthesis function. Immune analysis indicated that naïve B cell, CD8+ T cell, memory-activated CD4+ T cell, and monocytes displayed remarkably higher infiltration levels in OGRGcluster C1 while resting NK cell, macrophages M0, resting dendritic cell, activated dendritic cell, and neutrophils exhibited markedly higher infiltration levels in OGRGcluster C2. OGRGcluster C1 exhibited higher sensitivities to drugs, such as cisplatin, irinotecan, KRAS(G12C) inhibitor-12, oxaliplatin, paclitaxel, and sorafenib. Besides, we built the O-glycan biosynthesis-related prognostic model (including SPRR1B, COL17A1, and ECT2) with a good prediction performance. SPRR1B, COL17A1, and ECT2 were remarkably highly expressed in PC tissues and linked to a poor outcome. Single-cell analysis revealed that Oglycan biosynthesis was observed only in PC, and consistent with this, the target genes were significantly enriched in PC. We first constructed molecular subtypes and prognostic models related to O-glycan biosynthesis in PC. It is clear that O-glycan biosynthesis is related to the development, prognosis, immune microenvironment, and treatment of PC. This provides new strategies for stratification, diagnosis, and treatment of PC patients.

Integrated analysis of single-cell and bulk RNA sequencing to construct a CD8 + T cell-related immune gene signature in pancreatic cancer

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant tumor that responds poorly to immunotherapy. The pivotal influence of CD8 + T-cell infiltration on immunotherapy has been documented in various solid tumors. However, the specific contribution of CD8 + T cell-associated immune genes (TIGs) to the tumor immune microenvironment remains unclear. Methods: We obtained CD8 + T cell-related immune genes from the INNATE and IMMPORT databases. Univariate analysis and lasso regression analysis were utilized to screen hub TIGs and develop a prognostic signature, the TIGs score. This score was used to evaluate prognosis, immunocyte infiltration, cancer-associated signaling pathways, and the potential responsiveness of immunotherapy. The transcriptomic data and single-cell data from the GSE183795 and GE212966 datasets are employed to validate the reliability of the findings. Results: Our findings suggest that patients with low TIGs scores have stronger immune effector functions and immune checkpoint activation, resulting in a more favorable response to PD-L1 inhibitors. TIGs scores were significantly correlated with various molecular characteristics and clinical outcomes, such as tumor mutation burden, multiple tumor-associated pathways, and chemotherapeutic drug sensitivity. PSME2 was identified as a potential prognostic biomarker for predicting survival in patients with PDAC. Conclusions: This study elucidates the intricate regulatory mechanisms of TIGs within the tumor immune microenvironment of pancreatic cancer. Our findings strongly suggest that the TIGs score is a robust prognostic marker for prognosis and immunotherapy responsiveness. Additionally, targeting PSME2 may offer a novel avenue for enhancing the effectiveness of immunotherapy in pancreatic cancer.

Integration of single-nucleus and exosome RNA sequencing dissected inter-cellular communication and biomarkers in pancreatic ductal adenocarcinoma

BackgroundMounting evidence underscores the importance of cell communication within the tumor microenvironment, which is pivotal in tumor proliferation, invasion, and metastasis. Exosomes play a crucial role in cell-to-cell communication. Although single-cell RNA sequencing (scRNA-seq) provides insights into individual cell transcriptional characteristics, it falls short of comprehensively capturing exosome-mediated intercellular communication. MethodWe analyzed Pancreatic Ductal Adenocarcinoma (PDAC) tissues, separating supernatant and precipitate for exosome purification and single-cell nucleus suspension. We then constructed Single-nucleus RNA sequencing (snRNA-seq) and small RNA-seq libraries from these components. Our bioinformatic analysis integrated these sequences with ligand-receptor analysis and public miRNA data to map the cell communication network. ResultsWe established intercellular communication networks using bioinformatic analysis to track exosome miRNA effects and ligand-receptor pairs. Significantly, hsa-miR-1293 emerged as a prognostic biomarker for pancreatic cancer, linked to immune evasion, increased myeloid-derived suppressor cells, and poorer prognosis. Targeting this miRNA may enhance anti-tumor immunity and improve outcomes. ConclusionOur study offers a novel approach to constructing intercellular communication networks using snRNA-seq and exosome-small RNA sequencing. By integrating miRNA tracing with ligand-receptor analysis, we illuminate the complex interactions in the pancreatic cancer microenvironment, highlighting the pivotal role of miRNAs and identifying potential biomarkers and therapeutic targets.

The GFPT2-O-GlcNAcylation-YBX1 axis promotes IL-18 secretion to regulate the tumor immune microenvironment in pancreatic cancer

The immunosuppressive microenvironment caused by several intrinsic and extrinsic mechanism has brought great challenges to the immunotherapy of pancreatic cancer. We identified GFPT2, the key enzyme in hexosamine biosynthesis pathway (HBP), as an immune-related prognostic gene in pancreatic cancer using transcriptome sequencing and further confirmed that GFPT2 promoted macrophage M2 polarization and malignant phenotype of pancreatic cancer. HBP is a glucose metabolism pathway leading to the generation of uridine diphosphate N-acetylglucosamine (UDP-GlcNAc), which is further utilized for protein O-GlcNAcylation. We confirmed GFPT2-mediated O-GlcNAcylation played an important role in regulating immune microenvironment. Through cellular proteomics, we identified IL-18 as a key downstream of GFPT2 in regulating the immune microenvironment. Through CO-IP and protein mass spectrum, we confirmed that YBX1 was O-GlcNAcylated and nuclear translocated by GFPT2-mediated O-GlcNAcylation. Then, YBX1 functioned as a transcription factor to promote IL-18 transcription. Our study elucidated the relationship between the metabolic pathway of HBP in cancer cells and the immune microenvironment, which might provide some insights into the combination therapy of HBP vulnerability and immunotherapy in pancreatic cancer.

Targeting ROCK2 improves macromolecular permeability in a 3D fibrotic pancreatic cancer microenvironment model

Pancreatic cancer is characterized by a densely fibrotic stroma. The fibrotic stroma hinders the intratumoral penetration of nanomedicine and diminishes therapeutic efficacy. Fibrosis is characterized by an abnormal organization of extracellular matrix (ECM) components, namely the abnormal deposition and/or orientation of collagen and fibronectin. Abnormal ECM organization is chiefly driven by pathological signaling in pancreatic stellate cells (PSCs), the main cell type involved in fibrogenesis. However, whether targeting signaling pathways involved in abnormal ECM organization improves the intratumoral penetration of nanomedicines is unknown. Here, we show that targeting transforming growth factor-β (TGFβ)/Rho-associated kinase (ROCK) 1/2 signaling in PSCs normalizes ECM organization and concomitantly improves macromolecular permeability of the fibrotic stroma. Using a 3-dimensional cell culture model of the fibrotic pancreatic cancer microenvironment, we found that pharmacological inhibition of TGFβ or ROCK1/2 improves the permeation of various macromolecules. By using an isoform-specific pharmacological inhibitor and siRNAs, we show that targeting ROCK2, but not ROCK1, alone is sufficient to normalize ECM organization and improve macromolecular permeability. Moreover, we found that ROCK2 inhibition/knockdown attenuates Yes-associated protein (YAP) nuclear localization in fibroblasts co-cultured with pancreatic cancer cells in 3D. Finally, pharmacological inhibition or siRNA-mediated knockdown of YAP normalized ECM organization and improved macromolecular permeability. Our results together suggest that the TGFβ/ROCK2/YAP signaling axis may be therapeutically targeted to normalize ECM organization and improve macromolecular permeability to augment therapeutic efficacy of nanomedicines in pancreatic cancer.

Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment.

Pancreatic ductal adenocarcinoma (PDAC) is a solid-tumor malignancy. To enhance the treatment landscape of PDAC, a 3D model optimized for rigorous drug screening is essential. Within the PDAC tumor microenvironment, a dense stroma comprising a large extracellular matrix and cancer-associated fibroblasts (CAFs) is well-known for its vital role in modulating tumor growth, cellular heterogeneity, bidirectional paracrine signaling, and chemoresistance. In this study, we employed a fibroblast-populated collagen lattice (FPCL) modeling approach that has the ability to replicate fibroblast contractility in the collagenous matrix to build dense stroma. This FPCL model allows CAF differentiation by facilitating multifaceted cell-cell interactions between cancer cells and CAFs, with the differentiation further influenced by mechanical forces and hypoxia carried within the 3D structure. Our FPCL models displayed hallmark features, including ductal gland structures and differentiated CAFs with spindle shapes. Through morphological explorations alongside in-depth transcriptomic and metabolomic profiling, we identified substantial molecular shifts from the nascent to mature model stages and potential metabolic biomarkers, such as proline. The initial pharmacological assays highlighted the effectiveness of our FPCL model in screening for improved therapeutic strategies. In conclusion, our PDAC modeling platform mirrors complex tumor microenvironmental dynamics and offers an unparalleled perspective for therapeutic exploration.

Abstract 3878: Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis

Abstract The aggressive nature of pancreatic ductal adenocarcinoma (PDAC) is driven by cell-intrinsic features and cell-extrinsic interactions between tumor cells and the desmoplastic stroma, which is infiltrated with heterogeneous populations of cancer-associated-fibroblasts (CAFs) and immune cells. These features are able to drive emergent properties such as chemoresistance through diverse and not yet fully elucidated mechanisms. Through single-nucleus RNA-seq and whole-transcriptome digital spatial profiling of PDAC patient tumors, we previously reported marked heterogeneity in the malignant cells and CAF composition of PDAC. In this project, we performed high-plex single-cell spatial molecular imaging (990-plex SMI, Nanostring) to dissect the therapy-remodeled multicellular neighborhoods and malignant-stroma cell interactions in primary resected human pancreatic cancer with (n = 6) or without (n = 7) neoadjuvant chemotherapy and radiotherapy. SMI of the PDAC samples yielded ~753,000 high-confidence single cells and captured the heterogeneity of malignant cells and CAFs. We identified three malignant subtypes: classical (CLS), basal-like (BSL), and the recently characterized neural-like progenitor (NRP) malignant subtype that exhibits stem-like and neurodevelopmental features. To leverage the single-cell spatial resolution of SMI to further dissect treatment-associated changes in cell-cell interactions, we developed Spatially Constrained Optimal Transport Interaction Analysis (SCOTIA), an optimal transport model with a cost function that includes both spatial distance and ligand-receptor gene expression. Our results uncovered a marked enrichment in ligand-receptor interactions between CAFs and malignant cells in response to treatment. In combination with several complementary methods, including examination of downstream target gene expression and ex vivo 3D co-culture of CAF and PDAC cells, we found that IL-6 family signaling was the most consistently enriched interaction between CAFs and malignant cells after treatment. This led us to hypothesize that IL-6 signaling between CAFs and malignant cells may induce chemoresistance in cancer cells. To test this hypothesis, we treated three human cancer cell lines (AsPC1, Panc1, Panc0203) with 5FU with or without IL-6 and discovered that IL-6 induced chemoresistance for two of the lines (Panc1, Panc0203). Taken together, we have integrated novel experimental and computational approaches to enable high-resolution, spatially-guided discovery of treatment-associated remodeling in the pancreatic cancer microenvironment. Further studies will be conducted to dissect additional mechanisms by which candidate cell-cell interactions promote disease progression and/or resistance to cytotoxic therapy, with the ultimate goal of guiding novel therapeutic development. Citation Format: JINGYI CAO, Carina Shiau, Dennis Gong, Mark T. Gregory, Xunqin Yin, Jae-Won Cho, Peter L. Wang, Jennifer Su, Jason W. Reeves, Jimmy A. Guo, Nicole A. Lester, Jung Woo Bae, Ryan Zhao, Martin Hemberg, William L. Hwang. Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3878.

Abstract 6831: Single-cell-based epigenetic and transcriptomic analysis in the KPC pancreatic cancer mouse model revealed dynamiccharacteristic subtypes of cancer-associated fibroblasts

Abstract Pancreatic cancer features robust fibrosis, with 40-80% fibrotic tissue and a dense stroma, highlighting the crucial need to grasp cellular interactions in the cancer microenvironment. In this study, we used single-cell RNA sequencing (scRNA-seq) to analyze pancreatic tissues from 60-day-old normal mouse (n=1) (GSE125588) and KPC (LSL-KrasG12D/+; LSL-Trp53R172H/+; Pdx-1-Cre) cancer model with tumor diameter of 1-2 cm (n=2) (GSE129455). By examining fibroblast clusters, we identified distinct subtypes of cancer-associated fibroblasts (CAFs), and revealed four clusters: normal fibroblasts cluster, inflammatory CAFs (iCAFs) cluster marked by increased expression of IL6 and other cytokines, myofibroblast CAFs (myCAFs) cluster solely in the KPC model, and antigen-presenting CAFs (apCAFs) cluster expressing Mesothelin. We found that expression pattern of iCAFs in the KPC appeared similar to normal cells than myCAFs, suggesting a potential role in inhibiting cancer. it is reported that mesothelial cells might transition to apCAFs under the influence of IL6 and TGFβ due to tissue damage and inflammatory effects. This transition was visualized in our apCAF cluster, suggesting a potential pathway for the transformation of mesothelial cells into apCAFs. Next, in order to analyze epigenetic profiles of fibroblasts, we conducted single-cell Assay for Transposase-Accessible Chromatin with high-throughput sequencing (scATAC-seq) using 90-day-old KPC mice (n=2) and a wild-type mouse (n=1).scATAC-seq showed that there are mainly two clusters of fibroblasts, one cluster corresponded to myCAF, enriched with PDPN, while the other represented iCAF cluster, enriched with COL1A2. These data suggest that in terms of the epigenetic state, myCAF contain several different CAFs and have the potential to differentiate into either myCAFs or other type of based on certain stimulation. Ultimately, CAF differentiated into three distinct subtypes as revealed by scRNA-seq. This highlights that despite similar epigenetic states, various transcription factors characterize the functionality of these fibroblast subtypes. Further exploration of the underlying mechanism that lead to different CAF subtypes might help in controlling the microenvironment of pancreatic cancer. Citation Format: Keita Sasaki, Keiko Shinjo, Xingxing Wang, Kohei Kumegawa, Reo Raruyama, Shinji Mii, Yoshiteru Murofushi, Miho Suzuki, Atsushi Enomoto, Yutaka Kondo. Single-cell-based epigenetic and transcriptomic analysis in the KPC pancreatic cancer mouse model revealed dynamiccharacteristic subtypes of cancer-associated fibroblasts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6831.

Abstract 1948: Resistance to RAS inhibition promotes remodeling of the immunosuppressive microenvironment of pancreatic cancer

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely due to acquired chemotherapy resistance. MRTX-1133, a promising KRAS-G12D inhibitor, has demonstrated initial efficacy; however, resistance analogous to that seen with KRAS-G12C inhibitors is an emerging challenge. The tumor microenvironment (TME) is increasingly recognized as a contributor to resistance, often fostering tumor survival and immune evasion. Methods: To elucidate the resistance mechanisms to KRAS-G12D inhibition, we established resistant mouse and human PDAC cell lines derived from mouse and human models. These models were analyzed using flow cytometry and single cell RNA sequencing to define TME dynamics as resistant is acquired and after is has been established. We also analyzed cytokines released by resistant tumor cells using protein arrays and RNA sequencing. Results: Our investigation revealed significant TME alterations associated with acquired resistance. Notably, there was a marked increase in the population CD4+ Tregs and neutrophil while activated CD8+ T cells are decreased in the resistant tumors. Concurrently, an increased secretion of chemokines such as CXCL1 and CXCL2 was observed in resistant tumor cells relative to their parental counterparts. Conclusions: The adaptation of PDAC to circumvent KRAS inhibition involves a distinct reprogramming of the TME, attenuating immune surveillance and potentially facilitating tumor progression. Current efforts are directed towards delineating the key pathways implicated in these TME modifications to pioneer new therapeutic approaches for managing KRAS inhibitor resistant PDAC. Citation Format: Herve Tiriac. Resistance to RAS inhibition promotes remodeling of the immunosuppressive microenvironment of pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1948.

Abstract 1593: Intercellular network in immune suppressive microenvironment of pancreatic cancer

Abstract Despite constant efforts to improve treatment, the prognosis remains poor, with an overall survival rate of 6% (ranges from 2% to 9%) due to lack of efficient chemotherapy, radiotherapy, and targeted therapy. Immune checkpoint inhibitors (ICIs) has been reported to be effective in various solid cancers, such as melanoma, lung cancer, and renal cell carcinoma. However, pancreatic ductal adenocarcinoma (PDAC) is resistant against ICIs. The responsiveness of immune therapy is mainly determined by immune tumor microenvironment (TME) composed of tumor-infiltrating lymphocytes (TIL) and stromal cells. PDAC possesses unique TME, which is abundant of fibrosis, termed of desmoplasia, and the role of fibrosis in constructing immune suppressive TME remains unclear. First, in this study, to examine the immunological characteristics of TME, we constructed an integrated data base of TIL profiling, RNA-seq and whole exome seq using 31 fresh resected tissues of PDAC. An unsupervised clustering of based on numbers and percentages of 12 TIL types analyzed by flow cytometry showed that PDAC was divided into 2 types of cluster (myeloid cell-, T cell-dominant type), and the prognosis of myeloid type was significantly poorer than T cell-type. Myeloid type contained the high frequency of myeloid cell lineage including monocytes, macrophages and myeloid-derived suppressor cells (MDSC). Only MDSCs were significantly associated with poor prognosis among various immune cell types. Furthermore, gene enrichment analysis identified activated and suppressed pathways in each immune type, and in myeloid cell-dominant type, the immune-related pathways were significantly down-regulated. Then, to understand the characteristics of MDSCs infiltrated into pancreatic cancer tissues, single cell RNA-seq with surgical specimens was performed, and the analysis showed that a specific subtype of MDSCs infiltrated into cancer tissues. In addition, activation status of cancer-associated fibroblasts (CAFs) was related with MDSC recruitment and activation, indicating that the interaction between MDSCs and CAFs is crucial to create MDSC-rich TME. Inhibition of interaction between MDSCs and CAFs is expected to overcome immunosuppressive TME can be a therapy in PDAC. Citation Format: Kazunori Aoki, Hironori Fukuda, Yukihiro Mizoguchi, Kosuke Arai. Intercellular network in immune suppressive microenvironment of pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1593.

Abstract 305: Bioinspired synthetic hydrogel in pancreatic cancer organoid matrix modeling

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer mortality with a primary hallmark, including dense collagen matrix in the desmoplastic stroma. Organoid technologies often rely on commercially available EHS mouse sarcoma matrix materials, and it remains uncertain how batch-to-batch variability of this matrix impacts the consistency of cancer signaling. Here, we present a novel photo-activated hydrogel tuned to the properties of the desmoplastic stroma in PDAC organoid cultures. Method: We designed multiple synthetic hydrogel materials with tunable mechanical properties, including SP-139 (Stem Pharm, Inc), a polyethylene glycol-based hydrogel functionalized with norbornene and formed with both degradable and non-degradable crosslinking peptides and a cell adhesion peptide (CRGDS). We used rheometry to measure the elastic modulus of the polymerized hydrogel after visible light photoactivation (395 nm) and expanded multiple cancer organoid cultures. RNAseq was performed from patient-derived xenografts to expanded organoids across matrix designs (Cultrex® v. SP-139) and analyzed by GSVA pathway analyses. Result: We optimized the ratio of non-degradable v. degradable crosslinking peptide to support culture expansion and enzymatic digestion with dispase II (125 µg/mL) and collagenase II (1 mg/mL). Using rheometry, SP-139 at 75% v/v had increased elastic modulus versus Cultrex RGF BME matrix Type 2 at 100% v/v (4992±76.3 v. 68.4±5.6 Pa, p<0.0001). Phenotypic growth was confirmed across serial passages (>8) and a diversity of gastrointestinal cancer types (n=5). Baseline growth rates were identical over 48h between SP-139 (75% v/v) and Cultrex (50% v/v) (+13.4% v. +13.0, p=0.75). Growth remained consistent for SP-139 yet increased with Cultrex at interval of 48-96h (+12.9% SP-139 v +22.4% Cultrex, p<0.005) and interval of 96-144h (+13.6% SP-139 v +24.0% Cultrex®, p<0.0001). Therapeutic response was assessed using 3D CellTiter-Glo® using gemcitabine 100 µM (24h) with comparable inhibition of normalized cell viability in SP-139 v. Cultrex® (35.4±1.9% v. 52.3±6.5%, n.s.) and qualitatively with viability staining using calcein AM and Caspase 3/7FITC. RNAseq revealed Cultrex, when compared to SP-139, yielded down regulation of epoxygenase p450 pathways (padj<0.012) and negative regulation of the p38 MAP kinase cascade (padj<0.048). Conclusions: Functionalized PEG-based synthetic hydrogel matrix materials can be tuned for physical properties to mimic cancer tissue microenvironments more accurately. SP-139, designed to mimic the desmoplastic stroma of the pancreatic cancer microenvironment, has favorable properties including controlled growth rates and compatibility with high content imaging by luminescence and fluorescence. RNAseq pathway analysis shows SP-139 maintains pathways of p450 and MAP kinase signaling of importance with therapeutic resistance. Citation Format: Md Shahadat Hossan, Austin Stram, Ethan Samuel Lin, Sean McIlwain, Connie Lebakken, William Richards, Jeremy D. Kratz. Bioinspired synthetic hydrogel in pancreatic cancer organoid matrix modeling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 305.

Pancreatic Cancer Treatment Targeting the HGF/c-MET Pathway: The MEK Inhibitor Trametinib.

Pancreatic cancer is characterized by fibrosis/desmoplasia in the tumor microenvironment, which is primarily mediated by pancreatic stellate cells and cancer-associated fibroblasts. HGF/c-MET signaling, which is instrumental in embryonic development and wound healing, is also implicated for its mitogenic and motogenic properties. In pancreatic cancer, this pathway, along with its downstream signaling pathways, is associated with disease progression, prognosis, metastasis, chemoresistance, and other tumor-related factors. Other features of the microenvironment in pancreatic cancer with the HGF/c-MET pathway include hypoxia, angiogenesis, metastasis, and the urokinase plasminogen activator positive feed-forward loop. All these attributes critically influence the initiation, progression, and metastasis of pancreatic cancer. Therefore, targeting the HGF/c-MET signaling pathway appears promising for the development of innovative drugs for pancreatic cancer treatment. One of the primary downstream effects of c-MET activation is the MAPK/ERK (Ras, Ras/Raf/MEK/ERK) signaling cascade, and MEK (Mitogen-activated protein kinase kinase) inhibitors have demonstrated therapeutic value in RAS-mutant melanoma and lung cancer. Trametinib is a selective MEK1 and MEK2 inhibitor, and it has evolved as a pivotal therapeutic agent targeting the MAPK/ERK pathway in various malignancies, including BRAF-mutated melanoma, non-small cell lung cancer and thyroid cancer. The drug's effectiveness increases when combined with agents like BRAF inhibitors. However, resistance remains a challenge, necessitating ongoing research to counteract the resistance mechanisms. This review offers an in-depth exploration of the HGF/c-MET signaling pathway, trametinib's mechanism, clinical applications, combination strategies, and future directions in the context of pancreatic cancer.

Tumour-associated neutrophils: Potential therapeutic targets in pancreatic cancer immunotherapy.

Pancreatic cancer (PC) is a highly malignant tumour of the digestive system with poor therapeutic response and low survival rates. Immunotherapy has rapidly developed in recent years and has achieved significant outcomes in numerous malignant neoplasms. However, responses to immunotherapy in PC are rare, and the immunosuppressive and desmoplastic tumour microenvironment (TME) significantly hinders their efficacy in PC. Tumour-associated neutrophils (TANs) play a crucial role in the PC microenvironment and exert a profound influence on PC immunotherapy by establishing a robust stromal shelter and restraining immune cells to assist PC cells in immune escape, which may subvert the current status of PC immunotherapy. The present review aims to offer a comprehensive summary of the latest progress in understanding the involvement of TANs in PC desmoplastic and immunosuppressive functions and to emphasise the potential therapeutic implications of focusing on TANs in the immunotherapy of this deleterious disease. Finally, we provide an outlook for the future use of TANs in PC immunotherapy.

How murine neutrophils are hijacked within the microenvironment of pancreatic cancer.

Discoveries made in the past decades have brought out that, in addition to their classical primary defensive functions against infections, polymorphonuclear neutrophils play key effector roles not only in chronic inflammatory and immune-mediated diseases but also in cancer. In addition, depending on their differentiation/activation status and/or on the physiological or pathological microenvironment in which they reside, neutrophils have been shown to behave as highly plastic cells, able to acquire new phenotypes/functional states. All these features are well manifested in cancer and modulated during tumor progression. Herein, we discuss intriguing data by Lai Ng's group that have shed light on the origin and development of terminally differentiated, proangiogenic, tumor-associated neutrophils, facilitating tumor growth in a murine orthotopic model of pancreatic ductal adenocarcinoma. These findings help to progress toward the ambitious goal of selectively targeting only the skewed pathological neutrophil populations present within the tumor microenvironment.

Immune-related signature identifies IL1R2 as an immunological and prognostic biomarker in pancreatic cancer

Objective: Pancreatic cancer is one of the most aggressive malignancies, a robust prognostic signature and novel biomarkers are urgently needed for accurate stratification of the patients and optimization of clinical decision-making. Methods: A list of bioinformatic analysis were applied in public dataset to construct an immune-related signature. Furthermore, the most pivotal gene in the signature was identified. The potential mechanism of the core gene function was revealed through GSEA, CIBERSORT, ESTIMATE, immunophenoscore algorithm, single cell analysis and functional experiment. Results: An immune-related prognostic signature and associated nomogram were constructed and validated. Among the genes constituting the signature, IL1R2 was identified as the gene occupying the most paramount position in the risk signature. Meanwhile, Knockdown of IL1R2 significantly inhibited the proliferation, invasion and migration ability of pancreatic cancer cells. Additionally, high IL1R2 expression was associated with reduced CD8+ T cell infiltration in pancreatic cancer microenvironment, which may be due to high PD-L1 expression in cancer cells. Finally, the IPS algorithm proved that patients with high IL1R2 expression possessed a higher tumor mutation burden and a higher probability of benefiting from immunotherapy. Conclusion: In conclusion, our study constructed an efficient immune-related prognostic signature and identified the key role of IL1R2 in the development of pancreatic cancer, as well as its potential to serve as a biomarker for immunotherapy efficacy prediction for pancreatic cancer.

Targeting myeloperoxidase limits myeloid cell immunosuppression enhancing immune checkpoint therapy for pancreatic cancer

Pancreatic ductal adenocarcinoma is a devastating disease characterized by an extreme resistance to current therapies, including immune checkpoint therapy. The limited success of immunotherapies can be attributed to a highly immunosuppressive pancreatic cancer microenvironment characterized by an extensive infiltration of immune suppressing myeloid cells. While there are several pathways through which myeloid cells contribute to immunosuppression, one important mechanism is the increased production of reactive oxygen species. Here, we evaluated the contribution of myeloperoxidase, a myeloid-lineage restricted enzyme and primary source of reactive oxygen species, to regulate immune checkpoint therapy response in preclinical pancreatic cancer models. We compared treatment outcome, immune composition and characterized myeloid cells using wild-type, myeloperoxidase-deficient, and myeloperoxidase inhibitor treated wild-type mice using established subcutaneous pancreatic cancer models. Loss of host myeloperoxidase and pharmacological inhibition of myeloperoxidase in combination with immune checkpoint therapy significantly delayed tumor growth. The tumor microenvironment and systemic immune landscape demonstrated significant decreases in myeloid cells, exhausted T cells and T regulatory cell subsets when myeloperoxidase was deficient. Loss of myeloperoxidase in isolated myeloid cell subsets from tumor-bearing mice resulted in decreased reactive oxygen species production and T cell suppression. These data suggest that myeloperoxidase contributes to an immunosuppressive microenvironment and immune checkpoint therapy resistance where myeloperoxidase inhibitors have the potential to enhance immunotherapy response. Repurposing myeloperoxidase specific inhibitors may provide a promising therapeutic strategy to expand therapeutic options for pancreatic cancer patients to include immunotherapies.

Clinical Evaluation of the Pancreatic Cancer Microenvironment: Opportunities and Challenges.

Advances in our understanding of pancreatic ductal adenocarcinoma (PDAC) and its tumor microenvironment (TME) have the potential to transform treatment for the hundreds of thousands of patients who are diagnosed each year. Whereas the clinical assessment of cancer cell genetics has grown increasingly sophisticated and personalized, current protocols to evaluate the TME have lagged, despite evidence that the TME can be heterogeneous within and between patients. Here, we outline current protocols for PDAC diagnosis and management, review novel biomarkers, and highlight potential opportunities and challenges when evaluating the PDAC TME as we prepare to translate emerging TME-directed therapies to the clinic.

Viscoelastic stiffening of gelatin hydrogels for dynamic culture of pancreatic cancer spheroids

The tumor microenvironment (TME) in pancreatic adenocarcinoma (PDAC) is a complex milieu of cellular and non-cellular components. Pancreatic cancer cells (PCC) and cancer-associated fibroblasts (CAF) are two major cell types in PDAC TME, whereas the non-cellular components are enriched with extracellular matrices (ECM) that contribute to high stiffness and fast stress-relaxation. Previous studies have suggested that higher matrix rigidity promoted aggressive phenotypes of tumors, including PDAC. However, the effects of dynamic viscoelastic matrix properties on cancer cell fate remain largely unexplored. The focus of this work was to understand the effects of such dynamic matrix properties on PDAC cell behaviors, particularly in the context of PCC/CAF co-culture. To this end, we engineered gelatin-norbornene (GelNB) based hydrogels with a built-in mechanism for simultaneously increasing matrix elastic modulus and viscoelasticity. Two GelNB-based macromers, namely GelNB-hydroxyphenylacetic acid (GelNB-HPA) and GelNB-boronic acid (GelNB-BA), were modularly mixed and crosslinked with 4-arm poly(ethylene glycol)-thiol (PEG4SH) to form elastic hydrogels. Treating the hybrid hydrogels with tyrosinase not only increased the elastic moduli of the gels (due to HPA dimerization) but also concurrently produced 1,2-diols that formed reversible boronic acid-diol bonding with the BA groups on GelNB-BA. We employed patient-derived CAF and a PCC cell line COLO-357 to demonstrate the effect of increasing matrix stiffness and viscoelasticity on CAF and PCC cell fate. Our results indicated that in the stiffened environment, PCC underwent epithelial-mesenchymal transition. In the co-culture PCC and CAF spheroid, CAF enhanced PCC spreading and stimulated collagen 1 production. Through mRNA-sequencing, we further showed that stiffened matrices, regardless of the degree of stress-relaxation, heightened the malignant phenotype of PDAC cells. Statement of significanceThe pancreatic cancer microenvironment is a complex milieu composed of various cell types and extracellular matrices. It has been suggested that stiffer matrices could promote aggressive behavior in pancreatic cancer, but the effect of dynamic stiffening and matrix stress-relaxation on cancer cell fate remains largely undefined. This study aimed to explore the impact of dynamic changes in matrix viscoelasticity on pancreatic ductal adenocarcinoma (PDAC) cell behavior by developing a hydrogel system capable of simultaneously increasing stiffness and stress-relaxation on demand. This is achieved by crosslinking two gelatin-based macromers through orthogonal thiol-norbornene photochemistry and post-gelation stiffening with mushroom tyrosinase. The results revealed that higher matrix stiffness, regardless of the degree of stress relaxation, exacerbated the malignant characteristics of PDAC cells.

Fibroblasts in the Aged Pancreas Drive Pancreatic Cancer Progression.

Aged pancreatic fibroblasts secrete GDF-15 and activate AKT signaling to promote pancreatic cancer growth, highlighting the critical role of aging-mediated changes in the pancreatic cancer microenvironment in driving tumor progression. See related commentary by Isaacson et al., p. 1185.