Primary Pancreatic Ductal Adenocarcinoma Research Articles

Abstract B036: The role of whole genome duplication in progression of pancreatic ductal adenocarcinoma

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDA) is a lethal disease that tends to present at an advanced stage, but the evolutionary mechanisms responsible for rapid progression in PDA are poorly understood. Whole genome duplication (WGD) is a hallmark of cancer observed more frequently in late-stage tumors that predicts poorer overall patient survival across cancer types, including PDA. The genome-wide instability that occurs during WGD events can lead to gene dosage imbalances that promote tumor progression and may explain the rapid progression of aneuploidy. Although WGD has been studied extensively in advanced cancer, there is limited data on WGD in primary tumors. We hypothesize that WGD occurs frequently in primary PDA and promotes the rapid progression and high rate of relapse in early stage PDA. We leveraged scWGS to infer copy number profiles and WGD events from tumor cells to determine the rate of subclonal WGD in primary PDA tumors and understand how aneuploidy and genome instability evolve in the earliest stages of tumor progression. Methods: Single cell barcoded libraries from primary treatment naive tumors were prepared with the 10X Genomics Single Cell CNV platform and sequenced to a depth of 20-60x per tumor. Reads were processed using CellRanger DNA pipeline, demultiplexed, and analyzed with Gingko CNV. A total of 10,323 cells from 8 primary PDA tumors (range, 192 – 3146; median = 1286) were recovered, resulting in an average coverage of 0.06x per single cell (range, 0.02x – 0.14x). Results: 5/8 tumors analyzed had evidence of at least one WGD event. The WGD event was identified as a minor subclone in 3 of these 5. Copy number profiles revealed 1-6 distinct subclones in each tumor, demonstrating copy number evolution is ongoing. WGD+ tumors trend towards having higher diversity and higher percentage of genome altered. Conclusion: WGD occurs more frequently in primary PDA than previously understood, and may confer high levels of genetic instability. Citation Format: Lauren Hummel, Irene Xie, Karen Ng, Amy Zhang, Stephanie Ramotar, Anna Dodd, Grainne O'Kane, Jennifer Knox, Julie Wilson, Steven Gallinger, Faiyaz Notta. The role of whole genome duplication in progression of pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B036.

Abstract C052: Identifying mediators of perineural invasion in pancreatic cancer using spatial transcriptomics

Abstract Intratumoral nerves play important and versatile roles in cancer initiation, progression, recurrence, treatment-resistance, metastasis, morbidity, and mortality for many malignancies but the diverse molecular mechanisms underlying tumor-nerve crosstalk remain largely unknown. One of the differentiating hallmarks of pancreatic ductal adenocarcinoma (PDAC) is an exceptionally high frequency of perineural invasion (PNI), a histopathologic manifestation of tumor-nerve crosstalk whereby cancer cells recruit, migrate towards, and envelop or invade peripheral nerves. Evidence for some neurochemicals/neurotrophins involved in PNI have been uncovered, but most of the underlying work was limited by a lack of cell-type specificity, spatial context, and fragmented focus on individual pathways. To address these shortcomings, we set out to comprehensively identify cell-type specific genes spatially linked to PNI in patient tumors and then dissect the functional roles of these genes through live imaging of dorsal root ganglia (DRG) sensory neurons incubated in conditioned media from cancer cell organoids overexpressing candidate genes via CRISPR activation (CRISPRa). First, we performed whole transcriptome digital spatial profiling (NanoString GeoMx) on twelve custom tissue microarrays (n=288 cores) derived from intratumorally-matched malignant regions with and without PNI in primary resected PDAC specimens (n=31 patients). Differential gene expression (DE) analysis (FDR < 0.001) for PNI demonstrated that for malignant cells there were 271 enriched and 65 depleted genes, and for fibroblasts there were 16 enriched and 27 depleted genes. We further evaluated associations between PNI and expression of malignant subtypes previously identified from single-nucleus RNA-seq applied to 43 primary resected PDAC specimens. We found that malignant cells engaged in PNI were enriched in the mesenchymal, basaloid and neural-like progenitor (NRP) subtypes and depleted in the classical subtype. To test these associations functionally, we generated isogenic murine organoid lines (KrasG12D/+;Trp53FL/FL;R26-dCas9-VPR) overexpressing subtype-driving transcription factors and collected conditioned media. DRG sensory neurons demonstrate enhanced and suppressed growth kinetics when grown in NRP and classical conditioned media, respectively; mesenchymal and basal-like conditioned media do not appear to influence growth kinetics. These results suggest that while mesenchymal, basaloid, and NRP cells likely all play a role in cancer cell invasion of nerves, NRP cells may have an additional role in tumor-nerve tropism. Additional experiments exploring the functional effects of the top enriched and depleted genes from the DE analysis are ongoing. We anticipate that this study will provide a high-resolution understanding of critical intercellular interactions in the PDAC tumor microenvironment that facilitate PNI and tumor-nerve crosstalk more broadly to guide novel therapeutic strategies. Citation Format: William L. Hwang, Jennifer Su, Jimmy A. Guo, Carina Shiau, Jaimie L. Barth, Hannah I. Hoffman, Prajan Divakar, Jason W. Reeves, Eric Miller, Grissel Cervantes-Jaramillo, William Freed-Pastor, Vanessa Funes, Jennifer Y. Wo, Theodore S. Hong, Carlos Fernandez-del Castillo, Lei Zheng, Andrew J. Aguirre, David T. Ting, Mari Mino-Kenudson, Tyler Jacks. Identifying mediators of perineural invasion in pancreatic cancer using spatial transcriptomics [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr C052.

Abstract B071: Preclinical evaluation of RM-042, an orally bioavailable inhibitor of GTP-RAS, in models of pancreatic ductal adenocarcinoma

Abstract Approximately 95% of pancreatic ductal adenocarcinoma (PDAC) cases are driven by activating mutations in KRAS, accounting for over 45,000 deaths per year in the United States. In KRAS-mutant cells, KRAS protein exists predominantly in an active, GTP-bound state, leading to excessive oncogenic signaling via RAF/MEK/ERK and other effector pathways. After decades of anticipation, the first therapeutic inhibitors of this oncoprotein target a specific mutant allele (KRASG12C) and have shown promising results in this rare subset of human PDAC patients (1-2% of cases). While these encouraging clinical results bolster support for targeting RAS in human PDAC, most patients harbor KRASG12D and KRASG12V mutations and remain unserved by targeted therapies. Here we report preclinical studies of RM-042, a first-in-class, potent, oral, small molecule inhibitor of GTP-bound RAS proteins, designed to treat cancers driven by a variety of RAS mutations. RMC-6236, a clinical candidate and RM-042, a tool compound, both act through non-covalent binding to an abundant intracellular chaperone protein, cyclophilin A (CypA), resulting in a binary complex that engages GTP-bound RAS to form a high-affinity, RAS-selective tri-complex that sterically inhibits RAS binding to effectors. We examined the anti-tumor activity of RM-042 in two complementary preclinical model systems of PDAC. Using primary human PDAC explant cultures (tissue slices cultured intact in optimized media for up to one week), we found that RM-042 potently inhibits phospho-ERK expression (a marker of KRAS/RAF/MEK pathway activity), in a concentration-dependent manner. Loss of pERK expression in tumors was also associated with reduced viability, and altered stromal content. Pilot studies in the K-rasLSL.G12D/+, p53LSL.R172H/+, Pdx1Cretg/+ (KPC) mouse model of PDAC found that RM-042 induced tumor stabilizations and regressions associated with loss of pERK expression, and alterations in apoptosis and proliferation, at tolerated doses. Ongoing studies will determine the duration of tumor responses and assess the mechanisms by which RM-042 may impact both epithelial and stromal cell populations. Together, these studies provide complementary evidence from in vivo murine and ex vivo human models for anti-tumor activity in response to GTP-Ras inhibition, supporting the inclusion of PDAC patients in future clinical trials of RMC-6236. Citation Format: Urszula N. Wasko, Stephen A. Sastra, Carmine F. Palermo, David Wildes, Mallika Singh, Kenneth P. Olive. Preclinical evaluation of RM-042, an orally bioavailable inhibitor of GTP-RAS, in models of pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B071.

Abstract C071: Keratin 17 excludes CD8-positive T cells and recruits CD163-positive macrophages in pancreatic ductal adenocarcinoma

Abstract Background: Keratin 17 (K17) is a negative prognostic biomarker, overexpressed in the biologically most aggressive forms of pancreatic ductal adenocarcinoma (PDAC). In other anatomic sites and disease processes, K17 expression also correlates with immune cell infiltrates and could block T-cell infiltration. Thus, we hypothesized that K17 expression correlates with the inflammatory microenvironment in PDAC. In this study, we aimed to determine the relationship between the stromal immune cell infiltrates and K17 expression, using multiplexed immunohistochemistry (mIHC) and our suite of deep learning tools to quantitatively evaluate the expression of four biomarkers of T-cells and macrophages in PDAC. Methods: mIHC was performed on representative sections of 201 primary PDACs from Stony Brook University Hospital, Thomas Jefferson University Hospital, Cedars Sinai Medical Center, and from a national cohort (KYT, Pancreatic Cancer Action Network, and Perthera). Antibodies for CD4 (helper T-cells), CD8 (cytotoxic T-cells), CD16 (pan-macrophage), CD163 (M2 macrophages), pancytokeratin, and K17 were provided by Roche Diagnostics Corporation through a sponsored research agreement. mIHC was performed on a Discovery Ultra Autostainer (Roche), using horseradish peroxidase (HRP) and alkaline phosphatase (AP)-based protocols with multiple chromogens (Red: CD4, Purple: CD8, Yellow: CD16, Green: CD163, Teal: pancytokeratin, and Brown: K17) to enable multispectral imaging of diverse immune cell populations within the cancer microenvironment. A deep learning analysis workflow was used to detect and classify stromal inflammatory cells, in whole slide images (WSIs), generated using an Olympus VS120 digital microscope (Olympus, Tokyo, Japan). Pixel-wise predictions from a color auto-encoder (ColorAE) union UNET anchor UNET model were combined to create multi-class masks that were further analyzed to perform detection and classification. Results: The analysis of the inflammatory microenvironment focused on defining immune cell infiltrates located within 25 microns of the closest K17-positive versus K17-negative tumor cell in each representative section. Across the sum of K17-positive and negative zones/section, CD4 cell counts ranged from 0-10,617 (mean 2,709), CD8 cell counts ranged from 63-28,596 (mean 6,745), CD16 cell counts ranged from 4-7,797 (mean 3,024), and CD163 cell counts ranged from 35-34,696 (mean 14,968). CD4 T-helper cells, CD8 cytotoxic T cells, and CD16 macrophages were more numerous (respectively, p=0.0012; p=<0.0001; p=<0.0001) in K17-negative tumor zones compared to K17-positive zones. By contrast, the number of CD163 (M2) tumor-promoting macrophages was greater in K17 positive zones (p=0.0019). Conclusion: K17 expression by tumor cells impacts the chronic inflammatory microenvironment, shielding tumor cells from immune cell mediated cytotoxic responses, while recruiting tumor-promoting M2 macrophages, indicating that K17 impacts the immune response as a fundamental hallmark of aggression in PDAC. Citation Format: Lyanne Oblein, Michael Horowitz, Mahmudul Hasan, Sruthi Babu, Mariana Torrente-Goncalves, Lucia Roa, Jaymie Oentoro, Jason Harper, Xin Yao Zheng, Wei Jiang, Andrew Hendifar, Natalie Moshayedi, Brent Larson, Veronica Placencio-Hickok, Edik Blais, Emmanuel Petricoin, Joel Saltz, Natalia D. Marchenko, Luisa F. Escobar-Hoyos, Kenneth Shroyer. Keratin 17 excludes CD8-positive T cells and recruits CD163-positive macrophages in pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr C071.

Abstract PR010: Single-cell sequencing elucidates the effects of chemotherapy on cancer cell heterogeneity and the tumor microenvironment of human pancreatic adenocarcinoma

Abstract The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) is a complex ecosystem that drives tumor progression. Improving our understanding of the PDAC TME and its role in response to therapy via in-depth single cell characterization will have broad clinical implications for biomarker development and therapeutic design. In this study, we performed single-cell RNA sequencing on freshly collected human PDAC samples of primary (n=16) or metastatic (n=11) origin, either before (n=20) or after (n=7) chemotherapy. We found a heterogeneous mixture of basal and classical Moffitt cancer cell subtypes in all samples, along with distinct cancer-associated fibroblast (CAF) and tumor-associated macrophage (TAM) subpopulations. We identified the major CAF subpopulations as inflammatory CAFs (iCAFs) and myofibroblastic CAFs (myCAFs); within these subpopulations were a very few cells expressing immunogenic features which have previously been associated with antigen presenting CAFs (apCAFs). Tumor-associated macrophages (TAMs) could be categorized into two major subpopulations, C1QC+ TAMs or SPP1+ TAMs, each with distinct functional characteristics. For example, phagocytosis-associated gene sets were enriched in C1QC+ TAMs, while angiogenesis-associated gene sets were enriched in SPP1+ TAMs. Comparison of naïve and chemotherapy treated primary PDAC samples revealed that classical and basal-like cancer cells exhibited similar transcriptional responses to chemotherapy; this contrasts with some previous reports which posited a shift towards a basal-like transcriptional program among treated samples. We further noted that treated samples evinced fewer ligand-receptor interactions, particularly between TIGIT on CD8+ T cells and its ligand on cancer cells. We also identified TIGIT, not PD1, as the major inhibitory checkpoint molecule of CD8+ T cells in the PDAC TME. Altogether, our results suggest that chemotherapy impacts the PDAC TME and may further reduce response to immunotherapy. Citation Format: Daniel Weissinger, Emily A. Kawaler, Gregor Werba, Ende Zhao, Despoina Kalfakakou, Surajit Dhara, Grace Oh, Xiaohong Jing, Nina Beri, Lauren Khanna, Tamas Gonda, Paul E. Oberstein, Cristina Hajdu, Cynthia Loomis, Adriana Heguy, Mara H. Sherman, Amanda W. Lund, Theodore H. Welling, Igor Dolgalev, Aristotelis Tsirigos, Diane M. Simeone. Single-cell sequencing elucidates the effects of chemotherapy on cancer cell heterogeneity and the tumor microenvironment of human pancreatic adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr PR010.

ESE1/AGR2 axis antagonizes TGF-β-induced epithelial-mesenchymal transition in low-grade pancreatic cancer.

Epithelium-specific ETS transcription factor 1 (ESE1) has been implicated in epithelial homeostasis, inflammation, as well as tumorigenesis, and cancer progression. However, numerous studies have reported contradictory roles-as an oncogene or a tumor suppressor of ESE1 in different cancers, and its function in the development and progression of pancreatic ductal adenocarcinoma (PDAC) has remained largely unexplored. Herein, we report that ESE1 was found upregulated in primary PDAC compared to normal pancreatic tissue, but high expression of ESE1 correlated to better relapse-free survival in patients with PDAC. Interestingly, ESE1 was found to exhibit dual roles in regulation of malignant properties of PDAC cells in that its overexpression promoted cell proliferation, whereas its downregulation enhanced epithelial-mesenchymal transition (EMT) phenotype. In the context of TGF-β-induced EMT, ESE1 is markedly downregulated at post-transcriptional level, and reconstituted ESE1 expression partially reversed TGF-β-induced EMT marker expression. Furthermore, we identify AGR2 as a novel transcriptional target of ESE1 that participates in TGF-β-induced EMT in PDAC. Collectively, our findings reveal an ESE1/AGR2 axis that interacts with TGF-β signaling to modulate EMT phenotype in PDAC.

Patient-specific modeling of stroma-mediated chemoresistance of pancreatic cancer using a three-dimensional organoid-fibroblast co-culture system

BackgroundCancer-associated fibroblasts (CAFs) are considered to play a fundamental role in pancreatic ductal adenocarcinoma (PDAC) progression and chemoresistance. Patient-derived organoids have demonstrated great potential as tumor avatars for drug response prediction in PDAC, yet they disregard the influence of stromal components on chemosensitivity.MethodsWe established direct three-dimensional (3D) co-cultures of primary PDAC organoids and patient-matched CAFs to investigate the effect of the fibroblastic compartment on sensitivity to gemcitabine, 5-fluorouracil and paclitaxel treatments using an image-based drug assay. Single-cell RNA sequencing was performed for three organoid/CAF pairs in mono- and co-culture to uncover transcriptional changes induced by tumor-stroma interaction.ResultsUpon co-culture with CAFs, we observed increased proliferation and reduced chemotherapy-induced cell death of PDAC organoids. Single-cell RNA sequencing data evidenced induction of a pro-inflammatory phenotype in CAFs in co-cultures. Organoids showed increased expression of genes associated with epithelial-to-mesenchymal transition (EMT) in co-cultures and several potential receptor-ligand interactions related to EMT were identified, supporting a key role of CAF-driven induction of EMT in PDAC chemoresistance.ConclusionsOur results demonstrate the potential of personalized PDAC co-cultures models not only for drug response profiling but also for unraveling the molecular mechanisms involved in the chemoresistance-supporting role of the tumor stroma.

Suppressive Role of ACVR1/ALK2 in Basal and TGFβ1-Induced Cell Migration in Pancreatic Ductal Adenocarcinoma Cells and Identification of a Self-Perpetuating Autoregulatory Loop Involving the Small GTPase RAC1b.

Pancreatic ductal adenocarcinoma (PDAC) cells are known for their high invasive/metastatic potential, which is regulated in part by the transforming growth factor β1 (TGFβ1). The involvement of at least two type I receptors, ALK5 and ALK2, that transmit downstream signals of the TGFβ via different Smad proteins, SMAD2/3 and SMAD1/5, respectively, poses the issue of their relative contribution in regulating cell motility. Real-time cell migration assays revealed that the selective inhibition of ALK2 by RNAi or dominant-negative interference with a kinase-dead mutant (ALK2-K233R) strongly enhanced the cells’ migratory activity in the absence or presence of TGFβ1 stimulation. Ectopic ALK2-K233R expression was associated with an increase in the protein levels of RAC1 and its alternatively spliced isoform, RAC1b, both of which are implicated in driving cell migration and invasion. Conversely, the RNAi-mediated knockdown or CRISPR/Cas9-mediated knockout of RAC1b resulted in the upregulation of the expression of ALK2, but not that of the related BMP type I receptors, ALK3 or ALK6, and elevated the phosphorylation of SMAD1/5. PDAC is a heterogeneous disease encompassing tumors with different histomorphological subtypes, ranging from epithelial/classical to extremely mesenchymal. Upon treatment of various established and primary PDAC cell lines representing these subtypes with the ALK2 inhibitor, LDN-193189, well-differentiated, epithelial cell lines responded with a much stronger increase in the basal and TGFβ1-dependent migratory activity than poorly differentiated, mesenchymal ones. These data show that (i) ALK2 inhibits migration by suppressing RAC1/RAC1b proteins, (ii) ALK2 and RAC1b act together in a self-perpetuating the autoregulatory negative feedback loop to mutually control their expression, and (iii) the ALK2 antimigratory function appears to be particularly crucial in protecting epithelial subtype cells from becoming invasive, both spontaneously and in a TGFβ-rich tumor microenvironment.

Syngeneic Mouse Orthotopic Allografts to Model Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is a very complex disease characterized by a heterogeneous tumor microenvironment made up of a diverse stroma, immune cells, vessels, nerves, and extracellular matrix components. Over the years, different mouse models of PDAC have been developed to address the challenges posed by its progression, metastatic potential, and phenotypic heterogeneity. Immunocompetent mouse orthotopic allografts of PDAC have shown good promise owing to their fast and reproducible tumor progression in comparison to genetically engineered mouse models. Moreover, combined with their ability to mimic the biological features observed in autochthonous PDAC, cell line-based orthotopic allograft mouse models enable large-scale in vivo experiments. Thus, these models are widely used in preclinical studies for rapid genotype-phenotype and drug-response analyses. The aim of this protocol is to provide a reproducible and robust approach to successfully inject primary mouse PDAC cell cultures into the pancreas of syngeneic recipient mice. In addition to the technical details, important information is given that must be considered before performing these experiments.

S1066 High 1-Year Survival Rate of UnresecTable Pancreatic Cancer Size Smaller Than 4 cm in Diameter Treated With Concurrent EUS-RFA: An Average Treatment Effect on the Treated Weighted Survival Analysis

Introduction: Treatment of small primary pancreatic ductal adenocarcinoma (PDAC), unresecTable due to of blood vessel involvement or distant metastasis, relies on systemic therapy only. We hypothesized that concurrent EUS-guided radiofrequency ablation (EUS-RFA) might control the primary tumor and improve patients’ outcomes. Methods: A prospective series of unresecTable PDAC patients with primary tumor size ≤4 cm who underwent EUS-RFA using a 19-gauge RFA needle (STARmed Koyang, Korea) from Jan 2017 – Jan 2022 were compared with matched historical controls. A propensity score was calculated using tumor size, staging, age adjusted Charleston Comorbidity Index (CCI), Chemotherapy regimen received, and interactions between CCI regimen and staging. This was used to reweight observations so covariate distribution in the chemotherapy only group equalled that of the RFA group (Average Treatment effect on the Treated weights). We used the VIVA combo RF system with an energy of 50 Watts and impedance of 100 Ohms. Chemotherapy was given if the patients were deemed tolerable by oncologists. The patients were followed for at least 12 months to see the survival rates. Results: 46 patients comprised of 11 patients in EUS-RFA group and 35 patients in control group were included in the analysis. The mean (SD) age was 63 (13.5) years in the RFA group and 68 (8.1) years in control group. Characteristics of patients, along with the standard mean differences before and after weighting are show in in Table. Median weighted survival was 14 months in the RFA group versus 6.1 months in the controls. The adjusted survival probability at 6 and 12 months was 73% and 64% in the EUS-RFA group, versus 69% and 17% in the controls. The hazard ratio (HR) for death was 0.38 (95%CI 0.17 to 0.84); p=0.016 in the RFA group versus the controls. Median weighted time to progression was 6.1 in the RFA group versus 3.9 months in the controls. The adjusted progression-free survival at 6 and 12 months in the EUS-RFA group were 55% and 36%, versus 28% and 4% in the controls; the HR for progression was 0.57 (95%CI 0.36 – 1.26); p = 0.16 in the RFA group versus controls. The adverse events were only mild abdominal pain which were observed in 8.3% of total RFA operations. Conclusion: In patients PDAC with primary lesions ≤4 cm that cannot be cured by surgery, EUS-RFA combined with chemotherapy resulted in improved survival and progression free survival with minimal adverse events.Figure 1.: Treatment outcomes compared RFA group with control group Table 1. - Baseline characteristics of the enrolled patients *Data are mean (SD) or n(%) as appropriate. Percentages are rounded to 1 decimal place and may not equal 100% Characteristic Raw (unweighted) After weighting Prospective cases (n=11) Historical controls (n=35) Prospective cases (n=11) Historical controls (n=35) Standardized mean difference p-value Mean age (years) 63 (13.5) 68 (8.1) Female sex, n(%) 9 (81.8) 22 (62.9) Mean CCI score 2.91 (2.4) 2.89 (1.3) 2.91 2.94 -0.055 0.98 Tumor diameter (cm) 3.25 (0.51) 3.10 (0.58) 3.25 3.25 0.008 0.90 Regimen, n(%) None 3 (27.3) 6 (17.1) 27.3 26.3 0.022 0.96 First-line 3 (27.3) 16 (45.7) 27.3 27.0 0.005 0.99 Second-line 5 (45.5) 13 (37.1) 45.5 46.7 -0.025 0.96 Staging Stage III 6 (54.6) 24 (68.6) 54.5 56.6 0.021 0.97 Stage IV 5 (45.5) 11 (31.4) 45.5 43.4 -0.021 0.97

Treatment-associated remodeling of the pancreatic cancer endothelium at single-cell resolution.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most treatment refractory and lethal malignancies. The diversity of endothelial cell (EC) lineages in the tumor microenvironment (TME) impacts the efficacy of antineoplastic therapies, which in turn remodel EC states and distributions. Here, we present a single-cell resolution framework of diverse EC lineages in the PDAC TME in the context of neoadjuvant chemotherapy, radiotherapy, and losartan. We analyzed a custom single-nucleus RNA-seq dataset derived from 37 primary PDAC specimens (18 untreated, 14 neoadjuvant FOLFIRINOX + chemoradiotherapy, 5 neoadjuvant FOLFIRINOX + chemoradiotherapy + losartan). A single-nucleus transcriptome analysis of 15,185 EC profiles revealed two state programs (ribosomal, cycling), four lineage programs (capillary, arterial, venous, lymphatic), and one program that did not overlap significantly with prior signatures but was enriched in pathways involved in vasculogenesis, stem-like state, response to wounding and hypoxia, and endothelial-to-mesenchymal transition (reactive EndMT). A bulk transcriptome analysis of two independent cohorts (n = 269 patients) revealed that the lymphatic and reactive EndMT lineage programs were significantly associated with poor clinical outcomes. While losartan and proton therapy were associated with reduced lymphatic ECs, these therapies also correlated with an increase in reactive EndMT. Thus, the development and inclusion of EndMT-inhibiting drugs (e.g., nintedanib) to a neoadjuvant chemoradiotherapy regimen featuring losartan and/or proton therapy may be most effective in depleting both lymphatic and reactive EndMT populations and potentially improving patient outcomes.

Non-contrast-enhanced CT texture analysis of primary and metastatic pancreatic ductal adenocarcinomas: value in assessment of histopathological grade and differences between primary and metastatic lesions

PurposeTo evaluate the utility of non-contrast-enhanced CT texture analysis (CTTA) for predicting the histopathological differentiation of pancreatic ductal adenocarcinomas (PDAC) and to compare non-contrast-enhanced CTTA texture features between primary PDAC and hepatic metastases of PDAC.MethodsThis retrospective study included 120 patients with histopathologically confirmed PDAC. Sixty-five patients underwent CT-guided biopsy of primary PDAC, while 55 patients underwent CT-guided biopsy of hepatic PDAC metastasis. All lesions were segmented in non-contrast-enhanced CT scans for CTTA based on histogram analysis, co-occurrence matrix, and run-length matrix. Statistical analysis was conducted for 372 texture features using Mann–Whitney U test, Bonferroni–Holm correction, and receiver operating characteristic (ROC) analysis. A p value < 0.05 was considered statistically significant.ResultsThree features were identified that differed significantly between histopathological G2 and G3 primary tumors. Of these, “low gray-level zone emphasis” yielded the largest AUC (0.87 ± 0.04), reaching a sensitivity and specificity of 0.76 and 0.83, respectively, when a cut-off value of 0.482 was applied. Fifty-four features differed significantly between primary and hepatic metastatic PDAC.ConclusionNon-contrast-enhanced CTTA of PDAC identified differences in texture features between primary G2 and G3 tumors that could be used for non-invasive tumor assessment. Extensive differences between the features of primary and metastatic PDAC on CTTA suggest differences in tumor microenvironment.Graphical

Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids

The development dynamics and self-organization of glandular branched epithelia is of utmost importance for our understanding of diverse processes ranging from normal tissue growth to the growth of cancerous tissues. Using single primary murine pancreatic ductal adenocarcinoma (PDAC) cells embedded in a collagen matrix and adapted media supplementation, we generate organoids that self-organize into highly branched structures displaying a seamless lumen connecting terminal end buds, replicating in vivo PDAC architecture. We identify distinct morphogenesis phases, each characterized by a unique pattern of cell invasion, matrix deformation, protein expression, and respective molecular dependencies. We propose a minimal theoretical model of a branching and proliferating tissue, capturing the dynamics of the first phases. Observing the interaction of morphogenesis, mechanical environment and gene expression in vitro sets a benchmark for the understanding of self-organization processes governing complex organoid structure formation processes and branching morphogenesis.

Development and validation of a competing risk model for second primary pancreatic ductal adenocarcinoma: A population-based study.

BackgroundWith advances in early diagnosis and treatment, the number of cancer survivors continues to grow, and more and more cancer survivors face the threat of second primary cancer (SPM). Second primary pancreatic ductal adenocarcinoma (spPDAC) is an important subclass of SPM, but its prognostic characteristics are poorly understood.MethodsA total of 5,439 spPDAC samples and 67,262 primary pancreatic ductal adenocarcinoma (pPDAC) samples were extracted from the SEER database for this study. Survival differences between spPDAC and pPDAC samples were compared using Kaplan–Meier curves and log-rank tests. The Fine and Gray proportional subdistributed hazard method was used to analyze potential associations between clinical variables and pancreatic ductal adenocarcinoma-specific death (PDACSD) and death from other causes. After that, the clinical variables significantly related to PDACSD were screened out to construct a competing risk nomogram, which was used to evaluate the probability of the occurrence of PDACSD. The C-index was used to evaluate the discriminative ability of the model. The area under the curve (AUC) was used to verify the discrimination of the model. The calibration curve was used to verify the calibration of the model. Decision curve analysis (DCA) was used to validate the clinical utility of the model.ResultsCompared with patients with spPDAC, the pPDAC sample had a better prognosis (p = 0.0017). Across all spPDAC samples, the three most common sites of first-present cancer were the prostate, breast, and digestive system. Age (p < 0.001), race (p = 0.006), interval (p = 0.016), location (p < 0.001), T stage (p = 0.003), M stage (p < 0.001), chemotherapy (p < 0.001), and radiotherapy (p = 0.006) were the clinical variables associated with PDACSD screened by multivariate competing risks analysis. The concordance index values for the training and validation sets were 0.665 (95% CI, 0.655, 0.675) and 0.666 (95% CI, 0.650, 0.682), respectively. AUC, calibration curve, and DCA indicated that the model we constructed had good discrimination, calibration, and clinical utility.ConclusionsIn conclusion, we first analyzed the impact of previous cancer history on prognosis. We then constructed a competing risk model that can predict the probability of developing PDACSD in spPDAC. This model has good discriminative ability, calibration, and clinical practicability and has certain guiding value for clinical decision-making.

BTLA+CD200+ B cells dictate the divergent immune landscape and immunotherapeutic resistance in metastatic vs. primary pancreatic cancer.

Response to cancer immunotherapy in primary versus metastatic disease has not been well-studied. We found primary pancreatic ductal adenocarcinoma (PDA) is responsive to diverse immunotherapies whereas liver metastases are resistant. We discovered divergent immune landscapes in each compartment. Compared to primary tumor, liver metastases in both mice and humans are infiltrated by highly anergic T cells and MHCIIloIL10+ macrophages that are unable to present tumor-antigen. Moreover, a distinctive population of CD24+CD44-CD40- B cells dominate liver metastases. These B cells are recruited to the metastatic milieu by Muc1hiIL18hi tumor cells, which are enriched >10-fold in liver metastases. Recruited B cells drive macrophage-mediated adaptive immune-tolerance via CD200 and BTLA. Depleting B cells or targeting CD200/BTLA enhanced macrophage and T-cell immunogenicity and enabled immunotherapeutic efficacy of liver metastases. Our data detail the mechanistic underpinnings for compartment-specific immunotherapy-responsiveness and suggest that primary PDA models are poor surrogates for evaluating immunity in advanced disease.

Cancer Associated Fibroblast (CAF) Regulation of PDAC Parenchymal (CPC) and CSC Phenotypes Is Modulated by ECM Composition.

Simple SummaryHere, we demonstrate for the first time that ECM composition cooperates with CAFs to jointly regulate/modulate the highly dynamic interactions between the CPC and CSC cell lines and establish a continuum between tumor initiation and progression in primary PDAC tumors. Altogether, these findings propose a scenario in which the ECM composition and the cellular secretome of the CAFs cooperate to jointly regulate both growth and morphology of the CPC and CSC cell lines and, by modulating the highly dynamic interactions between them, establishes a continuum between tumor initiation and progression in primary PDAC tumors.Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest of all cancers, having one of the lowest five-year survival rates. One of its hallmarks is a dense desmoplastic stroma consisting in the abnormal accumulation of extracellular matrix (ECM) components, especially Collagen I. This highly fibrotic stroma embeds the bulk cancer (parenchymal) cells (CPCs), cancer stem cells (CSCs) and the main producers of the stromal reaction, the Cancer Associated Fibroblasts (CAFs). Little is known about the role of the acellular ECM in the interplay of the CAFs with the different tumor cell types in determining their phenotypic plasticity and eventual cell fate. Methods: Here, we analyzed the role of ECM collagen I in modulating the effect of CAF-derived signals by incubating PDAC CPCs and CSCs grown on ECM mimicking early (low collagen I levels) and late (high collagen I levels) stage PDAC stroma with conditioned medium from primary cultured CAFs derived from patients with PDAC in a previously described three-dimensional (3D) organotypic model of PDAC. Results: We found that CAFs (1) reduced CPC growth while favoring CSC growth independently of the ECM; (2) increased the invasive capacity of only CPCs on the ECM mimicking the early tumor; and (3) favored vasculogenic mimicry (VM) especially of the CSCs on the ECM mimicking an early tumor. Conclusions: We conclude that the CAFs and acellular stromal components interact to modulate the tumor behaviors of the PDAC CPC and CSC cell types and drive metastatic progression by stimulating the phenotypic characteristics of each tumor cell type that contribute to metastasis.

Time to Surgery Does Not Affect Overall or Disease-Free Survival of Patients with Primary Resectable PDAC.

(1) Background: Delay in therapy for pancreatic ductal adenocarcinoma (PDAC) may contribute to a worse outcome. The aim of this study was to investigate the prognostic value of time from diagnosis to surgery in patients undergoing upfront surgery for primarily resectable pancreatic carcinoma. (2) Methods: This retrospective single-center study included 214 patients who underwent primary resection of PDAC from January 2000 to December 2018 at University Hospital Erlangen. Using a minimum p-value approach, patients were stratified according to time to surgery (TtS) into two groups: TtS ≤ 23 days and TtS > 23 days. Postoperative outcome and long-term survival were compared. (3) Results: Median TtS was 25 days. The best cut-off for TtS was determined as 23 days. There were no differences regarding postoperative outcome or overall survival (OS) and disease-free survival (DFS) (OS: 23.8 vs. 20.4 months, p = 0.210, respectively, and DFS: 15.8 vs. 13.6 months, p = 0.187). Multivariate analysis revealed age, lymph node metastasis, tumor differentiation and resection status as significant independent prognostic predictors for OS and DFS. (4) Conclusions: A delay of surgery > 23 days after first diagnosis does not affect overall or disease-free survival of patients with primary resectable PDAC. However, the psychological impact of a delay to patients waiting for surgery should not be underestimated.

Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal and treatment-refractory cancer. Molecular stratification in pancreatic cancer remains rudimentary and does not yet inform clinical management or therapeutic development. Here, we construct a high-resolution molecular landscape of the cellular subtypes and spatial communities that compose PDAC using single-nucleus RNA sequencing and whole-transcriptome digital spatial profiling (DSP) of 43 primary PDAC tumor specimens that either received neoadjuvant therapy or were treatment naive. We uncovered recurrent expression programs across malignant cells and fibroblasts, including a newly identified neural-like progenitor malignant cell program that was enriched after chemotherapy and radiotherapy and associated with poor prognosis in independent cohorts. Integrating spatial and cellular profiles revealed three multicellular communities with distinct contributions from malignant, fibroblast and immune subtypes: classical, squamoid-basaloid and treatment enriched. Our refined molecular and cellular taxonomy can provide a framework for stratification in clinical trials and serve as a roadmap for therapeutic targeting of specific cellular phenotypes and multicellular interactions.

MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases.

Cancer-related deaths are very commonly attributed to complications from metastases to neighboring as well as distant organs. Dissociate response in the treatment of pancreatic adenocarcinoma is one of the main causes of low treatment success and low survival rates. This behavior could not be explained by transcriptomics or genomics; however, differences in the composition at the protein level could be observed. We have characterized the proteomic composition of primary pancreatic adenocarcinoma and distant metastasis directly in human tissue samples, utilizing mass spectrometry imaging. The mass spectrometry data was used to train and validate machine learning models that could distinguish both tissue entities with an accuracy above 90%. Model validation on samples from another collection yielded a correct classification of both entities. Tentative identification of the discriminative molecular features showed that collagen fragments (COL1A1, COL1A2, and COL3A1) play a fundamental role in tumor development. From the analysis of the receiver operating characteristic, we could further advance some potential targets, such as histone and histone variations, that could provide a better understanding of tumor development, and consequently, more effective treatments.

Claudin 18.2 is a potential therapeutic target for zolbetuximab in pancreatic ductal adenocarcinoma.

BACKGROUNDPancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed and treated in advanced tumor stages with poor prognosis. More effective screening programs and novel therapeutic means are urgently needed. Recent studies have regarded tight junction protein claudin 18.2 (CLDN18.2) as a candidate target for cancer treatment, and zolbetuximab (formerly known as IMAB362) has been developed against CLDN18.2. However, there are few data reported thus far related to the clinicopathological characteristics of CLDN18.2 expression for PDAC.AIMTo investigate the expression of CLDN18.2 in PDAC patients and subsequently propose a new target for the treatment of PDAC.METHODSThe Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, and European Genome-phenome Archive databases were first employed to analyze the CLDN18 gene expression in normal pancreatic tissue compared to that in pancreatic cancer tissue. Second, we analyzed the expression of CLDN18.2 in 93 primary PDACs, 86 para-cancer tissues, and 13 normal pancreatic tissues by immunohistochemistry. Immunostained tissues were assessed applying the histoscore. subsequently, they fell into two groups according to the expression state of CLDN18.2. Furthermore, the correlations between CLDN18.2 expression and diverse clinicopathological characteristics, including survival, were investigated.RESULTSThe gene expression of CLDN18 was statistically higher (P < 0.01) in pancreatic tumors than in normal tissues. However, there was no significant correlation between CLDN18 expression and survival in pancreatic cancer patients. CLDN18.2 was expressed in 88 (94.6%) of the reported PDACs. Among these tumors, 50 (56.8%) cases showed strong immunostaining. The para-cancer tissues were positive in 81 (94.2%) cases, among which 32 (39.5%) of cases were characterized for strong staining intensities. Normal pancreatic tissue was identified solely via weak immunostaining. Finally, CLDN18.2 expression significantly correlated with lymph node metastasis, distant metastasis, nerve invasion, stage, and survival of PDAC patients, while there was no correlation between CLDN18.2 expression and localization, tumor size, patient age and sex, nor any other clinicopathological characteristic. CONCLUSIONCLDN18.2 expression is frequently increased in PDAC patients. Thus, it may act as a potential therapeutic target for zolbetuximab in PDAC.