Dual and triple gene combinations of KRT5, KRT17, and S100A2 identify basal-like subtype of pancreatic ductal adenocarcinoma and correlate with survival outcome.

There is a significant difference in prognosis and response to chemotherapy between basal and classical subtypes of pancreatic ductal adenocarcinoma (PDAC). Further biomarkers are required to identify subtypes of PDAC. We selected candidate biomarkers via review articles. Correlations between these candidate markers and the PDAC molecular subtype gene sets were analyzed using bioinformatics, confirming the biomarkers for identifying classical and basal subtypes. Subsequently, 298 PDAC patients were included, and their tumor tissues were immunohistochemically stratified using these biomarkers. Survival data underwent analysis, including Cox proportional hazards modeling. Our results indicate that the pairwise and triple combinations of KRT5/KRT17/S100A2 exhibit a higher correlation coefficient with the basal-like subtype gene set, whereas the corresponding combinations of GATA6/HNF4A/TFF1 show a higher correlation with the classical subtype gene set. Whether analyzing unmatched or propensity-matched data, the overall survival time was significantly shorter for the basal subtype compared with the classical subtype (p < .001), with basal subtype patients also facing a higher risk of mortality (HR = 4.017, 95% CI 2.675-6.032, p < .001). In conclusion, the combined expression of KRT5, KRT17, and S100A2, in both pairwise and triple combinations, independently predicts shorter overall survival in PDAC patients and likely identifies the basal subtype. Similarly, the combined expression of GATA6, HNF4A, and TFF1, in the same manner, may indicate the classical subtype. In our study, the combined application of established biomarkers offers valuable insights for the prognostic evaluation of PDAC patients.

Impact of endoscopic ultrasound-guided fine needle aspiration on positive peritoneal lavage cytology in patients with resectable pancreatic body and tail cancer.

BACKGROUND/PURPOSE: A recent study has demonstrated that the timing of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) significantly influences the peritoneal lavage cytology (CY) outcomes in pancreatic body-tail cancer. The aim of this study was to clarify the impact of EUS-FNA on CY positivity in patients with resectable pancreatic body-tail cancer. METHODS: Patients with anatomically resectable pancreatic body-tail cancer surgically resected at Hiroshima University Hospital were enrolled, and elated clinicopathological factors, including EUS-FNA variables and CY positivity rate, were analyzed. RESULTS: Of the 129 eligible patients, 16 (12%) had positive CY. The EUS-FNA rates of the CY-positive and CY-negative groups were not significantly different (63% vs. 52%, p = .440). Multivariate analysis revealed that lymph node metastasis was the only independent risk factor for CY positivity (odds ratio: 5.734, p = .031). A total of 10 (14%) of the 69 patients who underwent EUS-FNA had positive CY; however, needle specifications and the interval between EUS-FNA and CY examination did not differ between the CY-positive and CY-negative groups. CY positivity rates were comparable for intervals ≤14 days and ≥15 days (17% vs. 14%, p = 1.000). CONCLUSIONS: EUS-FNA may not affect CY positivity in patients with resectable pancreatic body-tail cancer, regardless of the timing.

DNA hypo-methylation and expression of GBP4 induces T cell exhaustion in pancreatic cancer.

Immunotherapy for pancreatic ductal carcinoma (PDAC) remains disappointing due to the repressive tumor microenvironment and T cell exhaustion, in which the roles of interferon-stimulated genes were largely unknown. Here, we focused on a typical interferon-stimulated gene, GBP4, and investigated its potential diagnostic and therapeutic value in pancreatic cancer. Expression analysis on both local samples and public databases indicated that GBP4 was one of the most dominant GBP family members present in the PDAC microenvironment, and the expression level of GBP4 was negatively associated with patient survival. We then identified DNA hypo-methylation in regulatory regions of GBP4 in PDAC, and validated its regulatory role on GBP4 expression via performing targeted methylation using dCas9-SunTag-DNMAT3A-sgRNA-targeted methylation system on selected DNA locus. After that, we investigated the downstream functions of GBP4, and chemotaxis assays indicated that GBP4 overexpression significantly improved the infiltration of CD8+T cells, but also induced upregulation of immune checkpoint genes and T cell exhaustion. Lastly, in vitro T cell killing assays using primary organoids suggested that the PDAC samples with high level of GBP4 expression displayed significantly higher sensitivity to anti-PD-1 treatment. Taken together, our studies revealed the expression patterns and epigenetic regulatory mechanisms of GBP4 in pancreatic cancer and clarified the effects of GBP4 on T cell exhaustion and antitumor immunology.

Establishment of a nomogram model for predicting distant metastasis in pancreatic ductal adenocarcinoma: a comparative analysis of different lymph node staging systems based on the SEER database.

The purpose of this study was to compare the predictive value of different lymph node staging systems and to develop an optimal prognostic nomogram for predicting distant metastasis in pancreatic ductal adenocarcinoma (PDAC). Our study involved 6364 patients selected from the Surveillance, Epidemiology, and End Results (SEER) database and 126 patients from China. Independent risk factors for distant metastasis were screened by univariate and multivariate logistic regression analyses, and a model-based comparison of different lymph node staging systems was conducted. Furthermore, we developed a nomogram for predicting distant metastasis using the optimal performance lymph node staging system. The lymph node ratio (LNR), log odds of positive lymph nodes (LODDS), age, primary site, grade, tumor size, American Joint Committee on Cancer (AJCC) 7th Edition T stage, and radiotherapy recipient status were significant predictors of distant metastasis in PDAC patients. The model with the LODDS was a better fit than the model with the LNR. We developed a nomogram model based on LODDS and six clinical parameters. The area under the curve (AUC) and concordance index (C-index) of 0.753 indicated that this model satisfied the discrimination criteria. Kaplan-Meier curves indicate a significant difference in OS among patients with different metastasis risks. LODDS seems to have a superior ability to predict distant metastasis in PDAC patients compared with the AJCC 8th Edition N stage, PLN and LNR staging systems. Moreover, we developed a nomogram model for predicting distant metastasis. Clinicians can use the model to detect patients at high risk of distant metastasis and to make further clinical decisions.

Evaluating the Role of Sarcopenia and [18F]FDG PET/CT Parameters in Prognosis of Pancreatic Ductal Adenocarcinoma.

This study investigates the relationship between 18F-fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters, clinicopathological characteristics, and sarcopenia in patients with pancreatic ductal adenocarcinoma (PDAC) and evaluates their prognostic roles. MATERIAL AND METHODS: The primary tumor's maximum standard uptake (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) values, as well as clinicopathological factors, were evaluated retrospectively. Computed tomography (CT) was used to assess the skeletal muscle index (SMI). Sarcopenia was defined based on SMI calculated at the third lumbar vertebra (L3). SMI cut-off values ​​for sarcopenia were accepted as 44.77 cm2/m2 for men and 32.50 cm2/m2 for women. The primary endpoint was the overall survival (OS). OS data were analyzed by the Kaplan-Meier method and compared using the log-rank test. To identify predictive factors for sarcopenia, multivariable logistic regression was used following univariable logistic regression. Cox proportional hazards regression analyses were used to find predictors of OS. RESULTS: Of the 86 patients included in the study, 37 (43%) were diagnosed with sarcopenia. Compared with non-sarcopenic patients, sarcopenia was observed in older patients (P = 0,028) and patients with lower body mass index (BMI) (p = 0,001). Age and BMI independently predicted sarcopenia. Univariate analysis identified sarcopenia, advanced stage, and higher primary tumor TLG as significant predictors of overall survival. Multivariate Cox regression analysis revealed that the advanced tumor stage (p = 0.017) and higher TLG (p = 0,042) independently predicted OS. The median OS was 9.4 months in non-sarcopenic patients and 5.0 months in sarcopenic patients (p = 0,021). CONCLUSION: In this study cohort, advanced-stage disease and higher primary tumor TLG were identified as independent predictors of OS in patients with PDAC. Additionally, we emphasize the importance of incorporating [18F]FDG PET/CT-derived sarcopenia assessments into the prognostic evaluation and clinical management of PDAC patients. While sarcopenia was associated with shorter OS in univariate analysis, it was not an independent predictor in multivariate analysis.

The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma.

To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image reconstruction (DLIR) in improving the delineation of pancreatic ductal adenocarcinoma (PDAC) compared to conventional hybrid iterative reconstruction (HIR). Thirty-five patients with PDAC who underwent multiphasic CT were retrospectively evaluated. Raw data were reconstructed with two energy levels (40 keV and 70 keV) of virtual monochromatic imaging (VMI) using HIR (ASiR-V50%) and DLIR (TrueFidelity-H). Contrast-to-noise ratio (CNRtumor) was calculated from the CT values within regions of interest in tumor and normal pancreas in the pancreatic parenchymal phase images. Lesion conspicuity of PDAC in pancreatic parenchymal phase on 40-keV HIR, 40-keV DLIR, and 70-keV DLIR images was qualitatively rated on a 5-point scale, using 70-keV HIR images as reference (score 1 = poor; score 3 = equivalent to reference; score 5 = excellent) by two radiologists. CNRtumor of 40-keV DLIR images (median 10.4, interquartile range (IQR) 7.8-14.9) was significantly higher than that of the other VMIs (40 keV HIR, median 6.2, IQR 4.4-8.5, P < 0.0001; 70-keV DLIR, median 6.3, IQR 5.1-9.9, P = 0.0002; 70-keV HIR, median 4.2, IQR 3.1-6.1, P < 0.0001). CNRtumor of 40-keV DLIR images were significantly better than those of the 40-keV HIR and 70-keV HIR images by 72 ± 22% and 211 ± 340%, respectively. Lesion conspicuity scores on 40-keV DLIR images (observer 1, 4.5 ± 0.7; observer 2, 3.4 ± 0.5) were significantly higher than on 40-keV HIR (observer 1, 3.3 ± 0.9, P < 0.0001; observer 2, 3.1 ± 0.4, P = 0.013). DLIR is a promising reconstruction method to improve PDAC delineation in 40-keV VMI at the pancreatic parenchymal phase compared to conventional HIR.

Somatic Mutation Profile as a Predictor of Treatment Response and Survival in Unresectable Pancreatic Ductal Adenocarcinoma Treated with FOLFIRINOX and Gemcitabine Nab-Paclitaxel.

(1) Background: Pancreatic ductal adenocarcinoma (PDAC) has low survival rates despite treatment advancements. Aim: This study aims to show how molecular profiling could possibly guide personalized treatment strategies, which may help improve survival outcomes in patients with PDAC. (2) Materials and Methods: A retrospective analysis of 142 PDAC patients from a single academic center was conducted. Patients underwent chemotherapy and next-generation sequencing for molecular profiling. Key oncogenic pathways were identified using the Reactome pathway database. Survival analysis was performed using Kaplan-Meier curves and Cox Proportional Hazards Regression. (3) Results: Patients mainly received FOLFIRINOX (n = 62) or gemcitabine nab-paclitaxel (n = 62) as initial chemotherapy. The median OS was 13.6 months. Longer median OS was noted in patients with NOTCH (15 vs. 12.3 months, p = 0.007) and KIT pathway mutations (21.3 vs. 12.12 months, p = 0.04). Combinatorial pathway analysis indicated potential synergistic effects on survival. In the PFS, PI3K pathway (6.6 vs. 5.7 months, p = 0.03) and KIT pathway (10.3 vs. 6.2 months, p = 0.03) mutations correlated with improved PFS within the gemcitabine nab-paclitaxel subgroup. (4) Conclusions: Molecular profiling could play a role in PDAC for predicting outcomes and responses to therapies like FOLFIRINOX and gemcitabine nab-paclitaxel. Integrating genomic data into clinical decision-making can benefit PDAC treatment, though further validation is needed to fully utilize precision oncology in PDAC management.

Anakinra-Loaded Sphingomyelin Nanosystems Modulate In Vitro IL-1-Dependent Pro-Tumor Inflammation in Pancreatic Cancer.

Pancreatic cancer is a very aggressive disease with a dismal prognosis. The tumor microenvironment exerts immunosuppressive activities through the secretion of several cytokines, including interleukin (IL)-1. The IL-1/IL-1 receptor (IL-1R) axis is a key regulator in tumor-promoting T helper (Th)2- and Th17-type inflammation. Th2 cells are differentiated by dendritic cells endowed with Th2-polarizing capability by the thymic stromal lymphopoietin (TSLP) that is secreted by IL-1-activated cancer-associated fibroblasts (CAFs). Th17 cells are differentiated in the presence of IL-1 and other IL-1-regulated cytokines. In pancreatic cancer, the use of a recombinant IL-1R antagonist (IL1RA, anakinra, ANK) in in vitro and in vivo models has shown efficacy in targeting the IL-1/IL-1R pathway. In this study, we have developed sphingomyelin nanosystems (SNs) loaded with ANK (ANK-SNs) to compare their ability to inhibit Th2- and Th17-type inflammation with that of the free drug in vitro. We found that ANK-SNs inhibited TSLP and other pro-tumor cytokines released by CAFs at levels similar to ANK. Importantly, inhibition of IL-17 secretion by Th17 cells, but not of interferon-γ, was significantly higher, and at lower concentrations, with ANK-SNs compared to ANK. Collectively, the use of ANK-SNs might be beneficial in reducing the effective dose of the drug and its toxic effects.

ADRA2A promotes the classical/progenitor subtype and reduces disease aggressiveness of pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) manifests diverse molecular subtypes, including the classical/progenitor and basal-like/squamous subtypes, with the latter known for its aggressiveness. We employed integrative transcriptome and metabolome analyses to identify potential genes contributing to the molecular subtype differentiation and its metabolic features. Our comprehensive analysis revealed that adrenoceptor alpha 2A (ADRA2A) was downregulated in the basal-like/squamous subtype, suggesting its potential role as a candidate suppressor of this subtype. Reduced ADRA2A expression was significantly associated with a high frequency of lymph node metastasis, higher pathological grade, advanced disease stage, and decreased survival among PDAC patients. In vitro experiments demonstrated that ADRA2A transgene expression and ADRA2A agonist inhibited PDAC cell invasion. Additionally, ADRA2A-high condition downregulated the basal-like/squamous gene expression signature, while upregulating the classical/progenitor gene expression signature in our PDAC patient cohort and PDAC cell lines. Metabolome analysis conducted on the PDAC cohort and cell lines revealed that elevated ADRA2A levels were associated with suppressed amino acid and carnitine/acylcarnitine metabolism, which are characteristic metabolic profiles of the classical/progenitor subtype. Collectively, our findings suggest that heightened ADRA2A expression induces transcriptome and metabolome characteristics indicative of classical/progenitor subtype with decreased disease aggressiveness in PDAC patients. These observations introduce ADRA2A as a candidate for diagnostic and therapeutic targeting in PDAC.

Critical Role of Preoperative Hyperglycemia in Association with GFAT-1 Expression in Resected Pancreatic Cancer.

BACKGROUND: Hyperglycemia is involved in malignant transformation of pancreatic cancer via the hexosamine biosynthetic pathway (HBP). However, few studies have verified this mechanism based on clinical data. This study investigated the complementary effects of hyperglycemia and HBP on pancreatic cancer prognosis using detailed clinical data. METHODS: The study analyzed data of 477 patients with pancreatic cancer who underwent pancreatectomy between 2006 and 2020. The patients were divided into normoglycemia and hyperglycemia groups based on their HbA1c levels. Immunostaining for glutamine fructose-6-phosphate transaminase-1 (GFAT-1), the rate-limiting enzyme in HBP, CD4, CD8, and Foxp3, was performed to evaluate the association between survival outcomes, HBP, and local tumor immunity. RESULTS: Overall survival (OS) was significantly poorer in the hyperglycemia group than in the normoglycemia group (mean survival time [MST]: 35.0 vs. 47.9 months; p = 0.007). The patients in the hyperglycemia group with high GFAT-1 expression had significantly poorer OS than those with low GFAT-1 expression (MST, 49.0 vs. 27.6 months; p < 0.001). However, the prognosis did not differ significantly between the patients with high and low GFAT-1 expression in the normoglycemia group. In addition, the patients with hyperglycemia and high GFAT-1 expression had fewer CD4+ (p = 0.015) and CD8+ (p = 0.017) T cells and a lower CD8+/Foxp3+ ratio (p = 0.032) than those with hyperglycemia and low GFAT-1 expression. CONCLUSIONS: The patients with hyperglycemia and high GFAT-1 expression levels had an extremely poor prognosis. Furthermore, the tumors in these patients were characterized as immunologically cold tumors.

Diffusion-weighted Echo Planar Imaging with Compressed SENSE (EPICS-DWI) for Pancreas Assessment: A Multicenter Study.

PURPOSE: This study aimed to evaluate the feasibility of single-shot echo planar diffusion-weighted imaging with compressed SENSE (EPICS-DWI) for pancreas assessment by comparing with single-shot echo planar DWI with parallel imaging (PI-DWI). METHODS: This multicenter prospective study included 27 consecutive participants with untreated pancreatic ductal adenocarcinoma (PDAC) (15 men; mean age, 67 ± 10 years) who underwent pancreatic protocol MRI including both PI-DWI and EPICS-DWI. Two radiologists independently and randomly reviewed the high b-value DWI images and qualitatively assigned confidence scores for overall image quality, image noise, pancreas conspicuity, and PDAC conspicuity using a 5-point scale. One radiologist measured the PDAC-to-pancreas contrast-to-noise-ratio (CNR) on high b-value DWI images and the apparent diffusion coefficient (ADC) value of PDAC. Qualitative and quantitative parameters were compared between PI-DWI and EPICS-DWI using the Wilcoxon signed-rank test. RESULTS: The confidence scores for overall image quality (P < 0.001 in both radiologists) and image noise (P < 0.001 in both radiologists) were higher in EPICS-DWI than in PI-DWI. The pancreas conspicuity was better in EPICS-DWI than in PI-DWI in one of the radiologists (P = 0.02 and 0.06). The PDAC conspicuity was comparable between PI-DWI and EPICS-DWI (P > 0.99 in both radiologists). The PDAC-to-pancreas CNR was higher in EPICS-DWI than in PI-DWI (P = 0.02), while the ADC value of PDAC in PI-DWI was not significantly different compared to that in EPICS-DWI (P = 0.48). CONCLUSION: The image quality and PDAC-to-pancreas CNR was improved in EPICS-DWI compared to PI-DWI. However, the conspicuity and ADC value of PDAC were comparable between PI-DWI and EPICS-DWI.

Association of textbook outcomes with improved survival in pancreatic ductal adenocarcinoma following pancreaticoduodenectomy: a retrospective study.

Background: Assessing the perioperative outcomes of pancreaticoduodenectomy (PD) based solely on individual complications is not comprehensive, and the association between perioperative outcomes and the long-term prognosis of individuals diagnosed with pancreatic ductal adenocarcinoma (PDAC) remains uncertain. Our study is designed to evaluate the impact of a novel composite indicator, textbook outcomes (TO), on the long-term prognosis of patients undergoing PD for PDAC. Methods: This study conducted a retrospective analysis of 139 patients who underwent PD for pathologically confirmed PDAC at our hospital between January 2018 and December 2021. After applying exclusion criteria, a total of 111 patients were included in the subsequent analysis. These patients were categorized into two groups: the non-TO group (n=42) and the TO group (n=69). The Kaplan-Meier survival curve was employed to describe the relationship between TO and disease-free survival (DFS) and overall survival (OS). Cox regression was employed to assess the impact of achieving TO on long-term survival. Logistic regression was employed to investigate the risk factors affecting the achievement of TO. Results: Out of the 111 PDAC patients, 69 (62.2%) achieved TO following PD. The achievement of TO significantly improved the OS of PDAC patients [P=0.03; hazard ratio (HR) =0.60; 95% confidence interval (CI): 0.37-0.83]. Cox regression analysis indicated that achieving TO was a protective factor for OS (P=0.04; HR =4.08; 95% CI: 1.07-15.61). Logistic regression analysis indicated that high amylase in drainage fluid on the third day after surgery (>1,300 U/L) was detrimental to achieve TO [odds ratio (OR) =0.10; 95% CI: 0.02-0.58; P=0.01], longer surgery durations (≥6.25 hours) was detrimental to achieve TO (OR =0.19; 95% CI: 0.06-0.54; P=0.002), and soft pancreatic texture was detrimental to achieve TO (OR =0.31; 95% CI: 0.10-0.93, P=0.04). Conclusions: Achievement of TO significantly improves the OS of PDAC patients and has the potential to serve as a robust prognostic indicator. Looking ahead, it is highly necessary for TO to become a standard surgical quality control measure in hospitals.

Recurrence pattern and its risk factors in patients with resected pancreatic ductal adenocarcinoma - A retrospective analysis of 272 patients.

BACKGROUND: The aim of this study was to investigate the patterns of recurrence and their associated risk factors in patients who underwent resection for pancreatic carcinoma. METHODS: This retrospective study included 272 patients, who underwent Ro/R1-resection of PDAC from 2005 to 2020 at the University Hospital Erlangen. Risk factors for different recurrence patterns and the prognostic value of recurrence pattern on the overall survival after recurrence were evaluated. RESULTS: 61 % of the patients experienced recurrence, mostly within the first 12 postoperative months (62 %) and in the form of metastases (87 %). The median overall survival from recurrence was 9.2 months. The preoperative absence of diabetes and the presence of lymph node metastasis were independent risk factors for recurrence and a preoperative CA19-9 exceeding 97 U/ml for early recurrence. Additionally, lymph node metastases were associated with a higher risk of metastatic recurrence. Early recurrence, but not the site of recurrence, was identified as an independent prognostic factor for worse overall survival from recurrence. CONCLUSION: The occurrence of recurrence and especially of early and metastatic recurrence are associated with a worse overall survival. Patients lacking preoperative diabetes, having high preoperative CA19-9 values and lymph node metastases are particularly at risk for (early) recurrence.

Overcome the challenge for intratumoral injection of STING agonist for pancreatic cancer by systemic administration.

Due to the challenge for intratumoral administration, innate agonists have not made it beyond preclinical studies for efficacy testing in most tumor types. Pancreatic ductal adenocarcinoma (PDAC) has a hostile tumor microenvironment that renders T cells dysfunctional. Innate agonist treatments may serve as a T cell priming mechanism to sensitize PDACs to anti-PD-1 antibody (a-PD-1) treatment. Using a transplant mouse model with spontaneously formed liver metastasis, a genetically engineered KPC mouse model that spontaneously develops PDAC, and a human patient-derived xenograft model, we compared the antitumor efficacy between intrahepatic/intratumoral and intramuscular systemic administration of BMS-986301, a next-generation STING agonist. Flow cytometry, Nanostring, and cytokine assays were used to evaluate local and systemic immune responses. This study demonstrated that administration of STING agonist systemically via intramuscular injection is equivalent to its intratumoral injection in inducing both effector T cell response and antitumor efficacy. Compared to intratumoral administration, T cell exhaustion and immunosuppressive signals induced by systemic administration were attenuated. Nonetheless, either intratumoral or systemic treatment of STING agonist was associated with increased expression of CTLA-4 on tumor-infiltrating T cells. However, the combination of a-PD-1 and anti-CTLA-4 antibody with systemic STING agonist demonstrated the antitumor efficacy in the KPC mouse spontaneous PDAC model. The mouse pancreatic and liver orthotopic model of human patient-derived xenograft reconstituted with PBMC also showed that antitumor and abscopal effects of both intratumoral and intramuscular STING agonist are equivalent. Taken together, this study supports the clinical development of innate agonists via systemic administration for treating PDAC.

Dendritic cell vaccination combined with irreversible electroporation for treating pancreatic cancer-a narrative review.

Background and Objective: Pancreatic ductal adenocarcinoma (PDAC) is 3rd most lethal cancer in the USA leading to a median survival of six months and less than 5% 5-year overall survival (OS). As the only potentially curative treatment, surgical resection is not suitable for up to 90% of the patients with PDAC due to late diagnosis. Highly fibrotic PDAC with an immunosuppressive tumor microenvironment restricts cytotoxic T lymphocyte (CTL) infiltration and functions causing limited success with systemic therapies like dendritic cell (DC)-based immunotherapy. In this study, we investigated the potential benefits of irreversible electroporation (IRE) ablation therapy in combination with DC vaccine therapy against PDAC. Methods: We performed a literature search to identify studies focused on DC vaccine therapy and IRE ablation to boost therapeutic response against PDAC indexed in PubMed, Web of Science, and Scopus until February 20th, 2023. Key Content and Findings: IRE ablation destructs tumor structure while preserving extracellular matrix and blood vessels facilitating local inflammation. The studies demonstrated IRE ablation reduces tumor fibrosis and promotes CTL tumor infiltration to PDAC tumors in addition to boosting immune response in rodent models. The administration of the DC vaccine following IRE ablation synergistically enhances therapeutic response and extends OS rates compared to the use of DC vaccination or IRE alone. Moreover, the implementation of data-driven approaches further allows dynamic and longitudinal monitoring of therapeutic response and OS following IRE plus DC vaccine immunoablation. Conclusions: The combination of IRE ablation and DC vaccine immunotherapy is a potent strategy to enhance the therapeutic outcomes in patients with PDAC.

Hallmarks of perineural invasion in pancreatic ductal adenocarcinoma: new biological dimensions.

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignant tumor with a high metastatic potential. Perineural invasion (PNI) occurs in the early stages of PDAC with a high incidence rate and is directly associated with a poor prognosis. It involves close interaction among PDAC cells, nerves and the tumor microenvironment. In this review, we detailed discuss PNI-related pain, six specific steps of PNI, and treatment of PDAC with PNI and emphasize the importance of novel technologies for further investigation.

Perioperative and oncologic outcomes of robot-assisted versus open surgery for pancreatic ductal adenocarcinoma: a systematic review and meta-analysis.

This systematic review and meta-analysis aimed to compare perioperative and oncologic outcomes in patients with pancreatic ductal adenocarcinoma (PDAC) treated with robotic-assisted surgery versus open laparotomy. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Randomized controlled trials (RCTs) and cohort studies up to June 15, 2024, were identified using PubMed, EMBASE, and Google Scholar. Additionally, reference lists of included studies, relevant review articles, and clinical guidelines were manually searched. The primary outcomes evaluated were length of stay, 90-day mortality, postoperative pancreatic fistula (POPF), and Post-pancreatectomy haemorrhage (PPH). Secondary outcomes included estimated blood loss, reoperation rate, lymph node yield, and operative time. The final analysis included 10 retrospective cohort studies involving 23,272 patients (2,179 robotic-assisted and 21,093 open surgery). There were no significant differences between the two procedures in terms of postoperative pancreatic fistula, Post-pancreatectomy haemorrhage, lymph node yield, and operative time. However, patients undergoing robotic-assisted surgery had shorter lengths of stay, lower 90-day mortality, and less estimated blood loss compared to those undergoing open surgery. The reoperation rate was higher for the robotic-assisted group. Robotic-assisted surgery for pancreatic ductal adenocarcinoma is safe and feasible. Compared to open surgery, it offers better perioperative and short-term oncologic outcomes, but with a higher risk of reoperation.

Cancer-associated endocrine cells participate in pancreatic carcinogenesis.

BACKGROUND & AIMS: The pancreas is composed of endocrine and exocrine parts, and its interlacing structure indicates potential interaction between endocrine and exocrine cells. Although the tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) has been well characterized, the role of pancreatic endocrine cells during carcinogenesis is relatively understudied. METHODS: We depicted the changes of endocrine cells in PDAC by single-cell transcriptome sequencing, spatial transcriptome sequencing and multiplex immunohistochemistry. After that, the interaction between pancreatic carcinogenesis and endocrine changes was explored in orthotopic transplantation mice, KC mice and KPC mice. Finally, we proved the mechanism of the interaction between endocrine and exocrine parts of the pancreas through islet isolation, co-culture in vitro and co-injection in vivo. RESULTS: We found that pancreatic endocrine cells displayed significantly different transcriptomic characteristics and increased interaction with exocrine part in PDAC. Specifically, among all the changes, pancreatic polypeptide positive (PPY+) cells showed a sharp increment accompanied with the progression of the cancer lesion, which might be derived from the transdifferentiation of α and ß cells. Interestingly, it was proved that PDAC cells were able to induce the transdifferentiation of pancreatic α cells and ß cells into GCG+PPY+ and INS+PPY+ double-positive cells, which further promoted carcinogenesis and development of PDAC in a paracrine-dependent manner and formed a reciprocal interaction. CONCLUSIONS: Our study systematically maps the alteration of pancreatic endocrine cells in PDAC and elucidates the potential endocrine-exocrine interaction mechanisms during PDAC carcinogenesis. Meanwhile, we first time define and characterize cancer-associated endocrine cells (CAEs), thereby further broadening the composition of PDAC microenvironment.

Roadmap for providing and leveraging annotated data by cytologists in the PDAC domain as open data: support for AI-based pathology image analysis development and data utilization strategies.

Pancreatic cancer is one of the most lethal cancers worldwide, with a 5-year survival rate of less than 5%, the lowest of all cancer types. Pancreatic ductal adenocarcinoma (PDAC) is the most common and aggressive pancreatic cancer and has been classified as a health emergency in the past few decades. The histopathological diagnosis and prognosis evaluation of PDAC is time-consuming, laborious, and challenging in current clinical practice conditions. Pathological artificial intelligence (AI) research has been actively conducted lately. However, accessing medical data is challenging; the amount of open pathology data is small, and the absence of open-annotation data drawn by medical staff makes it difficult to conduct pathology AI research. Here, we provide easily accessible high-quality annotation data to address the abovementioned obstacles. Data evaluation is performed by supervised learning using a deep convolutional neural network structure to segment 11 annotated PDAC histopathological whole slide images (WSIs) drawn by medical staff directly from an open WSI dataset. We visualized the segmentation results of the histopathological images with a Dice score of 73% on the WSIs, including PDAC areas, thus identifying areas important for PDAC diagnosis and demonstrating high data quality. Additionally, pathologists assisted by AI can significantly increase their work efficiency. The pathological AI guidelines we propose are effective in developing histopathological AI for PDAC and are significant in the clinical field.