Pancreatic adenocarcinoma (PDAC) is a major health burden and may become the second cause of death by cancer in developed countries. The incidence of early-onset pancreatic cancer (EOPC, defined by an age at diagnosis <50 years old) is increasing. Here, we conducted a study of all PDAC patients followed at our institution. Patients were classified as EOPC or non-early onset (nEOPC, >50). Eight hundred and seventy eight patients were included, of which 113 EOPC, exhibiting a comparable performance status. EOPC were more often diagnosed at the metastatic stage (70.0% vs 58.3%) and liver metastases were more prevalent at diagnosis (60.2% vs. 43.9%). The median overall survival (OS) from diagnosis was 18.1 months, similar between EOPC and nEOPC. Among patients who underwent surgery, recurrence-free survival was similar between age groups. Among metastatic patients, first line progression free survival was similar but EOPC received more treatment lines (72.3% vs. 58.1% received ≥2 lines). Regarding molecular alterations, the mean tumor mutational burden (TMB) was lower in EOPC (1.42 vs. 2.95 mut/Mb). The prevalence of KRAS and BRCA1/2 mutations was similar, but EOPC displayed fewer alterations in CNKN2A/B. Fifty eight patients (18.6%) had actionable alterations (ESCAT I-III) and 31 of them received molecularly matched treatments. On the transcriptomic level, despite its clinical aggressiveness, EOPC was less likely to display a basal-like phenotype. To conclude, EOPC were diagnosed more frequently at the metastatic stage. OS and 1st line PFS were similar to nEOPC. EOPC displayed specific molecular features, such as a lower TMB and fewer alterations in CDKN2A/B.

UNASSIGNED: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive human tumor that is typically diagnosed at a later stage when surgery is not possible.
UNASSIGNED: We report the case of a 62-year-old woman who presented to the emergency department with abdominal pain. Computed tomography (CT) revealed a solitary hepatic lesion and a pancreatic body lesion. The pancreatic body lesion was biopsied endoscopically, and a tissue diagnosis was obtained to confirm the diagnosis of PDAC. She was then treated with 12 cycles of FOLFIRINOX with stable disease on CT. Due to the history of a hepatic lesion, she received 11 cycles of gemcitabine/Abraxane and a combination of a MEK inhibitor, Mekinist, and a BRAF inhibitor, BRAFTOVI. Subsequently, the patient underwent a liver biopsy. The biopsy result was negative, and the tumor was deemed resectable. The patient underwent a distal pancreatectomy. Surgical pathology demonstrated a 1.1-cm low-grade papillary mucinous neoplasm with negative margins and lymph nodes, staged T0N0. Adjuvant chemotherapy was not administered.
UNASSIGNED: To our knowledge, this is the first report of a patient with metastatic pancreatic adenocarcinoma who received prolonged IV and oral chemotherapy. At the time of the operation, the pathological stage was T0N0. The patient has recently been seen 9 months after surgery with no evidence cancer recurrence. Additionally, ctDNA remains negative.

BACKGROUND: Difficulties in distinguishing fibrosis from tumor in borderline and locally advanced pancreatic adenocarcinoma (PDAC) justify surgical exploration to assess resectability. This issue is especially relevant after neoadjuvant treatments (NAT) prior to pancreaticoduodenectomy (PD) although outcomes of aborted PD are unknown.
OBJECTIVE: This study aimed to evaluate early outcomes after aborted PD in patients with PDAC.
METHODS: Data were collected over a ten-year period, in three University Hospitals in France. Perioperative patient management was similar. The causes of intraoperative PD abortions were recorded, and outcomes of patients who underwent early (metastases, carcinomatosis) and late (following extensive vascular dissection) PD abortion were compared.
RESULTS: Of 774 PD for PDAC, 131 (17%) were aborted. 97 (74%) patients underwent early PD abortion due to carcinomatosis (n = 14; 14%), liver metastases (n = 32; 33%), aortocaval lymph node invasion (n = 28; 29%) and massive vascular extension (n = 23; 24%). Late PD abortion occurred after extensive vascular dissection in 34 (26%) patients due to invasion of the common hepatic (n = 16; 47%), superior mesenteric (n = 5; 15%) and right hepatic (n = 1; 3%) arteries and nonreconstructable venous invasion (n = 12; 35%). Patients who underwent late PD abortion had higher rates of overall morbidity (n = 22; 65% vs n = 27; 28%, p = 0.0001), severe complications (n = 14; 41% vs n = 11; 11%, p = 0.0005), mortality (n = 4; 12% vs n = 0; 0%, p = 0.003). They also had higher rates of delayed gastric emptying (n = 11; 32% vs n = 6; 6%, p = 0.0003), deep space infections (n = 10; 29% vs n = 7; 7%, p = 0.002), wound infections (n = 5; 15% vs n = 4; 4%, p = 0.05), and bleeding (n = 8; 24% vs n = 0; 0%, p < 0.0001).
CONCLUSIONS: Aborted PD after extensive vascular dissection has high morbidity and mortality rates. Appropriate information and counseling should be delivered to patients with borderline/locally advanced PDAC considered for PD.

This study aimed to introduce specific image feature analysis, focusing on pancreatic margins, and to provide a quantitative measure of edge irregularity, evidencing correlations with the presence/absence of pancreatic adenocarcinoma. We selected 50 patients (36 men, 14 women; mean age 63.7 years) who underwent Multi-detector computed tomography (MDCT) for the staging of pancreatic adenocarcinoma of the tail of the pancreas. Computer-assisted quantitative edge analysis was performed on the border fragments in MDCT images of neoplastic and healthy glandular parenchyma, from which we obtained the root mean square deviation SD of the actual border from the average boundary line. The SD values relative to healthy and neoplastic borders were compared using a paired t-test. A significant SD difference was observed between healthy and neoplastic borders. A threshold SD value was also found, enabling the differentiation of adenocarcinoma with 96% specificity and sensitivity. We introduced a quantitative measure of boundary irregularity, which correlates with the presence/absence of pancreatic adenocarcinoma. Quantitative edge analysis can be promptly performed on select border fragments in MDCT images, providing a useful supporting tool for diagnostics and a possible starting point for machine learning recognition based on lower-dimensional feature space.

Early detection of PDAC remains challenging due to the lack of early symptoms and the absence of reliable biomarkers. The aim of the present project was to identify miRNA and proteomics signatures discriminating PDAC patients with DM from nondiabetic PDAC patients. Proteomics analysis and miRNA array were used for protein and miRNA screening. We used Western blotting and Real-Time Quantitative Reverse Transcription polymerase chain reaction (qRT-PCR) for protein and miRNA validation. Comparisons between experimental groups with normal distributions were performed using one-way ANOVA followed by Tukey\'s post hoc test, and pairwise tests were performed using t-tests. p ≤ 0.05 was considered statistically significant. Protein clusters of differentiation 166 (CD166), glycoprotein CD63 (CD63), S100 calcium-binding protein A13 (S100A13), and tumor necrosis factor-β (TNF-β) were detected in the proteomics screening. The miRNA assay revealed a differential miRNA 1285 regulation. Previously described target proteins of miR-1285 cadherin-1 (CDH-1), cellular Jun (c-Jun), p53, mothers against decapentaplegic homolog 4 (Smad4), human transglutaminase 2 (TGM2) and yes-associated protein (YAP), were validated via Western blotting. miR-1285-3p was successfully validated as differentially regulated in PDAC + DM via qRT-PCR. Overall, our data suggest miRNA1285-3p, TGM2, CDH-1, CD166, and S100A13 as potential meaningful biomarker candidates to characterize patients with PDAC + DM. Data are available via ProteomeXchange with the identifier PXD053169.

OBJECTIVE: The main focus of this study is to explore the molecular mechanism of IRF7 regulation on RPS18 transcription in M1-type macrophages in pancreatic adenocarcinoma (PAAD) tissue, as well as the transfer of RPS18 by IRF7 via exosomes to PAAD cells and the regulation of ILF3 expression.
METHODS: By utilising single-cell RNA sequencing (scRNA-seq) data and spatial transcriptomics (ST) data from the Gene Expression Omnibus database, we identified distinct cell types with significant expression differences in PAAD tissue. Among these cell types, we identified those closely associated with lipid metabolism. The differentially expressed genes within these cell types were analysed, and target genes relevant to prognosis were identified. Flow cytometry was employed to assess the expression levels of target genes in M1 and M2 macrophages. Cell lines with target gene knockout were constructed using CRISPR/Cas9 editing technology, and cell lines with target gene knockdown and overexpression were established using lentiviral vectors. Additionally, a co-culture model of exosomes derived from M1 macrophages with PAAD cells was developed. The impact of M1 macrophage-derived exosomes on the lipid metabolism of PAAD cells in the model was evaluated through metabolomics analysis. The effects of M1 macrophage-derived exosomes on the viability, proliferation, division, migration and apoptosis of PAAD cells were assessed using MTT assay, flow cytometry, EdU assay, wound healing assay, Transwell assay and TUNEL staining. Furthermore, a mouse PAAD orthotopic implantation model was established, and bioluminescence imaging was utilised to assess the influence of M1 macrophage-derived exosomes on the intratumoural formation capacity of PAAD cells, as well as measuring tumour weight and volume. The expression of proliferation-associated proteins in tumour tissues was examined using immunohistochemistry.
RESULTS: Through combined analysis of scRNA-seq and ST technologies, we discovered a close association between M1 macrophages in PAAD samples and lipid metabolism signals, as well as a negative correlation between M1 macrophages and cancer cells. The construction of a prognostic risk score model identified RPS18 and IRF7 as two prognostically relevant genes in M1 macrophages, exhibiting negative and positive correlations, respectively. Mechanistically, it was found that IRF7 in M1 macrophages can inhibit the transcription of RPS18, reducing the transfer of RPS18 to PAAD cells via exosomes, consequently affecting the expression of ILF3 in PAAD cells. IRF7/RPS18 in M1 macrophages can also suppress lipid metabolism, cell viability, proliferation, migration, invasion and intratumoural formation capacity of PAAD cells, while promoting cell apoptosis.
CONCLUSIONS: Overexpression of IRF7 in M1 macrophages may inhibit RPS18 transcription, reduce the transfer of RPS18 from M1 macrophage-derived exosomes to PAAD cells, thereby suppressing ILF3 expression in PAAD cells, inhibiting the lipid metabolism pathway, and curtailing the viability, proliferation, migration, invasion of PAAD cells, as well as enhancing cell apoptosis, ultimately inhibiting tumour formation in PAAD cells in vivo. Targeting IRF7/RPS18 in M1 macrophages could represent a promising immunotherapeutic approach for PAAD in the future.

BACKGROUND: Knowledge about environmental pancreatic adenocarcinoma (PA) risk factors, including pesticide exposure, remains limited. Organochlorine (OC) accumulates in adipose tissue and can help reflect long-term exposure.
METHODS: Age and body mass index (BMI) of patients with PA were matched with those undergoing a surgery for a benign disease on age and BMI (1:1). Targeted analyses screened 345 pesticides and metabolites, including 29 OC, in adipose tissue and urine samples. The primary aim was to investigate the association between organochlorine concentrations in visceral fat or urine, and PA. Adjusted conditional logistic regressions were carried out accounting for multiple testing.
RESULTS: Trans-nonachlor (odds ratio [OR] = 1.325, 95% confidence interval [CI] [1.108-1.586]), cis-nonachlor (OR = 15.433, 95% CI [2.733-87.136]), Mirex (OR = 2.853, 95% CI [1.213-6.713]) and 4,4 DDE (OR = 1.019, 95% CI [1.005-1.034]) in fat and a greater number of positive samples (OR = 1.758 95% CI [1.11-2.997]) were significantly associated with higher odds of PA. In contrast, as awaited, urine samples did not yield any statistically significant associations for all tested pesticides.
CONCLUSIONS: Some OCs were associated with higher odds of PA. The underlying mechanisms of pancreatic aggression need to be investigated to refine these findings.
BACKGROUND: Clinicaltrials.gov NCT04429490.

This study introduces a new imaging, spatial transcriptomics (ST), and single-cell RNA-sequencing integration pipeline to characterize neoplastic cell state transitions during tumorigenesis. We applied a semi-supervised analysis pipeline to examine premalignant pancreatic intraepithelial neoplasias (PanINs) that can develop into pancreatic ductal adenocarcinoma (PDAC). Their strict diagnosis on formalin-fixed and paraffin-embedded (FFPE) samples limited the single-cell characterization of human PanINs within their microenvironment. We leverage whole transcriptome FFPE ST to enable the study of a rare cohort of matched low-grade (LG) and high-grade (HG) PanIN lesions to track progression and map cellular phenotypes relative to single-cell PDAC datasets. We demonstrate that cancer-associated fibroblasts (CAFs), including antigen-presenting CAFs, are located close to PanINs. We further observed a transition from CAF-related inflammatory signaling to cellular proliferation during PanIN progression. We validate these findings with single-cell high-dimensional imaging proteomics and transcriptomics technologies. Altogether, our semi-supervised learning framework for spatial multi-omics has broad applicability across cancer types to decipher the spatiotemporal dynamics of carcinogenesis.

UNASSIGNED: Cancer-associated cachexia (CC) is a progressive syndrome characterized by unintentional weight loss, muscle atrophy, fatigue, and poor outcomes that affects most patients with pancreatic ductal adenocarcinoma (PDAC). The ability to identify and classify CC stage along its continuum early in the disease process is challenging but critical for management.
UNASSIGNED: The main objective of this study was to determine the prevalence of CC stage overall and by sex and race and ethnicity among treatment-naïve PDAC cases using clinical, nutritional, and functional criteria. Secondary objectives included identifying the prevalence and predictors of higher symptom burden, supportive care needs, and quality of life (QoL), and examining their influence on overall survival (OS).
UNASSIGNED: A population-based multi-institutional prospective cohort study of patients with PDAC was conducted between 2018 and 2021 by the Florida Pancreas Collaborative. Leveraging patient-reported data and laboratory values, participants were classified at baseline into four stages [non-cachexia (NCa), pre-cachexia (PCa), cachexia (Ca), and refractory cachexia (RCa)]. Multivariate regression, Kaplan Meier analyses, and Cox regression were conducted to evaluate associations.
UNASSIGNED: CC stage was estimated for 309 PDAC cases (156 females, 153 males). The overall prevalence of NCa, PCa, Ca, and RCa was 12.9%, 24.6%, 54.1%, and 8.4%, respectively. CC prevalence across all CC stages was highest for males and racial and ethnic minorities. Criteria differentiated NCa cases from other groups, but did not distinguish PCa from Ca. The most frequently reported symptoms included weight loss, fatigue, pain, anxiety, and depression, with pain significantly worsening over time. The greatest supportive care needs included emotional and physical domains. Males, Black people, and those with RCa had the worst OS.
UNASSIGNED: Using clinical, nutritional, and functional criteria, nearly one-quarter of the PDAC cases in our diverse, multi-institutional cohort had PCa and 62.5% had Ca or RCa at the time of diagnosis. The PCa estimate is higher than that reported in prior studies. We recommend these criteria be used to aid in CC classification, monitoring, and management of all incident PDAC cases. Findings also highlight the recommendation for continued emotional support, assistance in alleviating pain, and supportive care needs throughout the PDAC treatment journey.

BACKGROUND: With poor prognosis and high mortality, pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies. Standard of care therapies for PDAC have included gemcitabine for the past three decades, although resistance often develops within weeks of chemotherapy initiation through an array of possible mechanisms.
METHODS: We reanalyzed publicly available RNA-seq gene expression profiles of 28 PDAC patient-derived xenograft (PDX) models before and after a 21-day gemcitabine treatment using our validated analysis pipeline to identify molecular markers of intrinsic and acquired resistance.
RESULTS: Using normalized RNA-seq quantification measurements, we first identified oxidative phosphorylation and interferon alpha pathways as the two most enriched cancer hallmark gene sets in the baseline gene expression profile associated with intrinsic gemcitabine resistance and sensitivity, respectively. Furthermore, we discovered strong correlations between drug-induced expression changes in glycolysis and oxidative phosphorylation genes and response to gemcitabine, which suggests that these pathways may be associated with acquired gemcitabine resistance mechanisms. Thus, we developed prediction models using baseline gene expression profiles in those pathways and validated them in another dataset of 12 PDAC models from Novartis. We also developed prediction models based on drug-induced expression changes in genes from the Molecular Signatures Database (MSigDB)\'s curated 50 cancer hallmark gene sets. Finally, pathogenic TP53 mutations correlated with treatment resistance.
CONCLUSIONS: Our results demonstrate that concurrent upregulation of both glycolysis and oxidative phosphorylation pathways occurs in vivo in PDAC PDXs following gemcitabine treatment and that pathogenic TP53 status had association with gemcitabine resistance in these models. Our findings may elucidate the molecular basis for gemcitabine resistance and provide insights for effective drug combination in PDAC chemotherapy.