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In PDAC patients, ctDNA detection's prognostic significance needs validation especially in resected patients. This study investigated ctDNA kinetics in portal and peripheral blood before and after resection, and whether tissue mobilization during surgery influences ctDNA detection. In this single-center prospective cohort, portal and peripheral blood were drawn during pancreaticoduodenectomy before and after tissue mobilization, during 12 postoperative months and were associated with overall survival (OS), recurrence-free survival (RFS) and CA19-9 (secondary endpoints). Tumor mutations were identified using next-generation-sequencing and ctDNA detected by digital droplet PCR. From 2018 to 2022, 34 patients were included. The 2-year RFS and OS were 47.6%(95%CI[29.5; 63.6]) and 65.7%(95%CI[46.5; 79.4]) respectively. Intraoperatively, ctDNA detection in portal or peripheral blood was associated with worse RFS (HR[95%CI]3.26[1.26; 8.45],p = 0.010) and OS (HR[95%CI]5.46[1.65;18.01],p = 0.002). Portal vein sampling did not improve ctDNA detection. CtDNA levels were increased by 2.5-fold (p = 0.031) in peripheral blood after tissue mobilization but not significantly linked to RFS or OS. Detecting ctDNA intraoperatively was correlated with poorer RFS (HR [95% CI] 3.26 [1.26;8.45], p = 0.010) and 0S (HR [95% CI] 5.46 [1.65;18.01], p = 0.002). Portal vein sampling did not improve ctDNA detection. Tissue mobilization increases ctDNA levels. Intraoperative detection of ctDNA is associated with a worse prognosis., (© 2024. The Author(s).)

Pancreatic ductal adenocarcinoma (PDAC) is a fatal malignancy due to the difficulty in diagnosis and poor prognosis because of the high recurrence rate, necessitating reliable biomarkers to improve the diagnosis and prognosis. However, the existing markers have limitations. We previously identified extracellular vesicles (EVs) recognized by O-glycan-binding lectins (Amaranthus caudatus agglutinin [ACA]) as a novel diagnostic biomarker for PDAC using an EV-counting system (ExoCounter). This retrospective study analyzed changes in ACA-positive EVs in perioperative PDAC serum and its association with prognosis using ExoCounter. Absolute EV levels in the pre- and postoperative sera of 44 patients who underwent curative pancreatectomy for PDAC were quantified using ExoCounter. The carbohydrate antigen 19-9 levels declined in most samples postoperatively, and presented no correlation with poor prognosis. In contrast, ACA-positive EVs increased in serum at 7 days postoperatively in 27 of 44 patients (61.4%). We therefore divided participants with ACA-positive EVs before and after surgery into elevation and decline groups. The overall survival (OS) and recurrence-free survival (RFS) of patients with higher ACA-positive EVs were significantly shorter than those with lower ACA-positive EVs (26.1 months vs. not reached, P = 0.018; 11.9 vs. 38.6 months, P = 0.013). Multivariable analysis revealed that ACA-positive EV elevation in postoperative serum was an independent prognostic factor for poor OS (hazard ratio [HR] = 3.891, P = 0.023) and RFS (HR = 2.650, P = 0.024). The detection of ACA-positive EVs in perioperative serum may be used to predict the prognosis of PDAC in the early postoperative period., (© 2024 The Author(s). Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.)

Background/objectives: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response. We investigated whether a multiple-miRNA prediction model optimized via machine learning could improve treatment response prediction., Methods: A total of 20 and 66 patients who underwent curative resection for PC after gemcitabine-based preoperative treatment were included in the discovery and validation cohorts, respectively. Patients were classified according to their response to preoperative treatment. In the discovery cohort, miRNA microarray and machine learning were used to identify candidate miRNAs (in peripheral plasma exosomes obtained before treatment) associated with treatment response. In the validation cohort, miRNA expression was analyzed using quantitative reverse transcription polymerase chain reaction to validate its ability to predict treatment response., Results: In the discovery cohort, six and three miRNAs were associated with good and poor responders, respectively. The combination of these miRNAs significantly improved predictive accuracy compared with using each single miRNA, with area under the curve (AUC) values increasing from 0.485 to 0.672 to 0.909 for good responders and from 0.475 to 0.606 to 0.788 for poor responders. In the validation cohort, improved predictive performance of the miRNA combination over single-miRNA prediction models was confirmed, with AUC values increasing from 0.461 to 0.669 to 0.777 for good responders and from 0.501 to 0.556 to 0.685 for poor responders., Conclusions: Peripheral blood miRNA profiles using an optimized combination of miRNAs may provide a more advanced prediction model for preoperative treatment response in PC., (Copyright © 2024 IAP and EPC. Published by Elsevier B.V. All rights reserved.)

A blood test that enables surveillance for early-stage pancreatic ductal adenocarcinoma (PDAC) is an urgent need. Independent laboratories have reported PDAC biomarkers that could improve biomarker performance over CA19-9 alone, but the performance of the previously reported biomarkers in combination is not known. Therefore, we conducted a coordinated case/control study across multiple laboratories using common sets of blinded training and validation samples (132 and 295 plasma samples, respectively) from PDAC patients and non-PDAC control subjects representing conditions under which surveillance occurs. We analyzed the training set to identify candidate biomarker combination panels using biomarkers across laboratories, and we applied the fixed panels to the validation set. The panels identified in the training set, CA19-9 with CA199.STRA, LRG1, TIMP-1, TGM2, THSP2, ANG, and MUC16.STRA, achieved consistent performance in the validation set. The panel of CA19-9 with the glycan biomarker CA199.STRA improved sensitivity from 0.44 with 0.98 specificity for CA19-9 alone to 0.71 with 0.98 specificity (p < 0.001, 1000-fold bootstrap). Similarly, CA19-9 combined with the protein biomarker LRG1 and CA199.STRA improved specificity from 0.16 with 0.94 sensitivity for CA19-9 to 0.65 with 0.89 sensitivity (p < 0.001, 1000-fold bootstrap). We further validated significantly improved performance using biomarker panels that did not include CA19-9. This study establishes the effectiveness of a coordinated study of previously discovered biomarkers and identified panels of those biomarkers that significantly increased the sensitivity and specificity of early-stage PDAC detection in a rigorous validation trial., Competing Interests: Declaration of competing interest AM is a consultant for Tezcat Biotechnologies and is a co-inventor on a patent that has been licensed from Johns Hopkins University by Thrive Earlier Detection (an Exact Sciences company). RB received research funding from Immunovia and Freenome and serves as on the advisory board for Immunovia. The authors declare no other reported potential conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Objective: The timely identification of both malignant and nonmalignant pancreatic lesions has the potential to significantly enhance prognosis and implement risk management strategies across various levels. microRNAs (miRs) and their corresponding targets play a crucial role in the development of pancreatic lesions and can serve as valuable diagnostic and therapeutic targets. The objective of our study was to investigate potential diagnostic markers that can effectively differentiate between malignant and nonmalignant pancreatic lesions., Methods: Gene Expression Omnibus (GEO) database with GSE24279 dataset was utilized to screen differentially expressed miRNAs (DEMs). We utilized the TargetScanHuman database to predict the target genes associated with hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p. Furthermore, a cohort comprising healthy individuals (n = 52), chronic pancreatitis (CP; n = 34), and pancreatic adenocarcinoma (PAAD; n = 53) patients was recruited to ascertain the levels of plasma markers., Results: We identified 3 miRNAs (hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p) and 2 proteins (PCDH1 and AMN) as potential diagnostic markers for distinguishing between CP and PAAD. The area under the curve (AUC) values for all markers exceeded .800. Notably, a combination of plasma PCDH1 and AMN demonstrated excellent diagnostic performance (AUC = .921; 95% CI: .866-.977; sensitivity = .792; specificity = .941) in discriminating between CP and PAAD. In addition, the model of hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p yielded an AUC of .928, sensitivity of .830, and specificity of .912, respectively., Conclusion: Plasma levels of miRNAs (hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p) and their corresponding targets (PCDH1 and AMN) hold promise as potential biomarkers for predicting PAAD in patients with CP., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with a 5-year survival rate of 7.2% in China. However, effective approaches for diagnosis of PDAC are limited. Tumor-originating genomic and epigenomic aberration in circulating free DNA (cfDNA) have potential as liquid biopsy biomarkers for cancer diagnosis. Our study aims to assess the feasibility of cfDNA-based liquid biopsy assay for PDAC diagnosis. In this study, we performed parallel genomic and epigenomic profiling of plasma cfDNA from Chinese PDAC patients and healthy individuals. Diagnostic models were built to distinguish PDAC patients from healthy individuals. Cancer-specific changes in cfDNA methylation landscape were identified, and a diagnostic model based on six methylation markers achieved high sensitivity (88.7% for overall cases and 78.0% for stage I patients) and specificity (96.8%), outperforming the mutation-based model significantly. Moreover, the combination of the methylation-based model with carbohydrate antigen 19-9 (CA19-9) levels further improved the performance (sensitivity: 95.7% for overall cases and 95.5% for stage I patients; specificity: 93.3%). In conclusion, our findings suggest that both methylation-based and integrated liquid biopsy assays hold promise as non-invasive tools for detection of PDAC., (© 2024 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.)

Objective: To investigate in patients treated for a resectable pancreatic ductal adenocarcinoma [pancreatic adenocarcinoma (PA)], the prognostic value of baseline carbohydrate antigen 19.9 (CA19-9) and circulating tumor DNA (ctDNA) for overall survival (OS), to improve death risk stratification, based on a planned ancillary study from PANACHE01-PRODIGE 48 trial., Background: Biological borderline situation that was first used by the MD Anderson, became a standard practice following the international consensus conference in 2016 to manage PA. Regarding the risk of systemic disease, especially in the setting of "markedly elevated" CA19-9, neoadjuvant therapy is advised to avoid unnecessary surgery, with a risk of early recurrence. To best define biological borderline situations, new biomarkers are needed., Methods: Characteristics at diagnosis and OS were compared between patients with or without ctDNA status available. OS was estimated with the Kaplan-Meier method and compared with a log-rank test. The restricted cubic spline approach was used to identify the optimal threshold for biological parameters for death risk stratification. Univariate and multivariate Cox proportional hazard models were estimated to assess the association of ctDNA status and other parameters with OS., Results: Among the 132 patients from the primary population for analysis in the PANACHE01 -PRODIGE 48 trial, 92(71%) were available for ctDNA status at diagnosis. No selection bias was identified between patients with or without ctDNA status. Fourteen patients (15%) were ctDNA+ and exhibited a higher risk for death [ P = 0.0188; hazard ratio (95% CI): 2.28 (1.12-4.63)]. In the 92 patients with ctDNA status available among the other parameters analyzed, only CA19-9 was statically associated with OS in univariate analysis. Patients with a log of CA19-9 equal or superior to 4.4 that corresponds to a CA19-9 of 80 UI/mL were identified at higher risk for death [ P = 0.0143; hazard ratio (95% CI): 2.2 (1.15-4.19)]. In multivariate analysis, CA19-19 remained independently associated with OS ( P = 0.0323). When combining the 2 biomarkers, the median OS was 19.4 [IC 95%: 3.8-not reached (NR)] months, 30.2 (IC 95%: 17.1-NR) months and NR (IC 95%: 39.3-NR) for "CA19-9 high and ctDNA+ group," "CA19-9 high or ctDNA+ group," and "CA19-9 low and ctDNA- group," respectively (log-rank P = 0.0069)., Conclusions: Progress in the management of potentially operable PA remains limited, relying solely on strategies to optimize the sequence of complete treatment, based on modern multidrug chemotherapy (FOLFIRINOX, GemNabPaclitaxel) and surgical resection. The identification of risk criteria, such as the existence of systemic disease, is an important issue, currently referred to as "biological borderline disease." Few data, particularly from prospective studies, allow us to identify biomarkers other than CA19-9. Combining ctDNA with CA19-9 could be of interest to best define biological borderline situations in PA., Competing Interests: J.P. received 2 research grants for the LIBRARY project: AFRCP grant of €4,000 and a grant from Canceropole Nord Ouest (France) of €20,000. The remaining authors report no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose: High-density lipoprotein cholesterol (HDL-c) plays an important role in tumorigenesis in several endocrine-related cancers. Few studies have shown the effect of non-HDL-c in malignant tumors. The present study aimed to identify the association between non-HDL-c and high-grade pancreatic neuroendocrine neoplasms (PNENs)., Methods: A total of 197 PNEN patients who underwent surgery were analyzed retrospectively. Clinical and histopathological features, such as patients' age and sex, tumor location and size, tumor grade, the level of serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c) and fasting plasma-glucose levels were obtained. Non-HDL-c was calculated as total cholesterol - HDL-c. The relationships between those features and high-grade PNENs were identified using logistic regression analysis., Results: Among the 197 patients with PNENs, a lower HDL-c level was more common seen in patients with poorly differentiated PNENs than in those with well-differentiated PNENs (P < 0.05). The non-HDL-c/HDL-c ratio was greater in patients with poorly differentiated PNENs than in those with well-differentiated PNENs (P < 0.01). Similarly, a greater proportion of patients with a non-HDL-c/HDL-c ratio larger than 5 was found in patients with poorly differentiated PNENs than in those with well-differentiation PNENs (P < 0.01). Multivariate logistic analysis showed that the non-HDL-c/HDL-c ratio was positively associated with poorly differentiated PNENs (odds ratio (OR) = 1.45, 95% conference interval (CI):1.13-1.87). Similarly, the risk of poorly differentiated PNENs increased significantly in patients with a non-HDL-c/HDL-c greater than 5 (OR = 14.13, 95%CI: 2.98-66.89). The risk of high-grade PNENs increased in patients with a high non-HDL-c/HDL-c ratio (OR = 1.27, 95% CI: 1.04-1.55), and the risk also increased markedly when the ratio was greater than 5 (OR = 5.00, 95%CI: 1.28-19.49)., Conclusions: A high ratio of non-HDL-c/HDL-c was associated with high-grade PNENs or poorly differentiated PNENs., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: This study aims to elucidate the significance of the preoperative fibrinogen to pre-albumin ratio (FPR) in predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC), a correlation not extensively explored previously., Methods: A cohort of 563 patients diagnosed with PDAC and subjected to radical surgical resection was examined. We meticulously documented a range of inflammatory markers, clinical-pathological features, and oncological outcomes. The prognostic value of preoperative FPR was assessed using Kaplan-Meier survival analysis and Cox proportional hazards regression modeling. Furthermore, the predictive accuracy of FPR was evaluated through time-dependent receiver operating characteristic (ROC) curves and decision curve analyses (DCA)., Results: The determined optimal threshold for FPR was 14.77, which facilitated the stratification of patients into groups with low and high FPR levels. Notably, patients in the high FPR cohort exhibited significantly reduced recurrence-free survival (RFS) and overall survival (OS) rates compared to their low FPR counterparts. Multivariate Cox regression analysis underscored FPR as an independent prognostic indicator for both RFS and OS. In comparison to the neutrophil-to-lymphocyte ratio (NLR), FPR demonstrated superior prognostic accuracy and clinical utility., Conclusion: The preoperative fibrinogen to pre-albumin ratio serves as an independent prognostic marker for RFS and OS among PDAC patients undergoing radical resection. Our findings suggest that FPR could be a valuable addition to the current prognostic models, potentially guiding therapeutic decision-making and patient management strategies in PDAC., (© 2024. The Author(s).)

Pancreatic ductal adenocarcinoma (PDAC) has high mortality and rising incidence rates. Recent data indicate that the gut microbiome and associated metabolites may play a role in the development of PDAC. To complement and inform observational studies, we investigated associations of genetically predicted abundances of individual gut bacteria and genetically predicted circulating concentrations of microbiome-associated metabolites with PDAC using Mendelian randomisation (MR). Gut microbiome-associated metabolites were identified through a comprehensive search of Pubmed, Exposome Explorer and Human Metabolome Database. Single Nucleotide Polymorphisms (SNPs) associated by Genome-Wide Association Studies (GWAS) with circulating levels of 109 of these metabolites were collated from Pubmed and the GWAS catalogue. SNPs for 119 taxonomically defined gut genera were selected from a meta-analysis performed by the MiBioGen consortium. Two-sample MR was conducted using GWAS summary statistics from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), including a total of 8,769 cases and 7,055 controls. Inverse variance-weighted MR analyses were performed along with sensitivity analyses to assess potential violations of MR assumptions. Nominally significant associations were noted for genetically predicted circulating concentrations of mannitol (odds ratio per standard deviation [OR SD ] = 0.97; 95% confidence interval [CI]: 0.95-0.99, p = 0.006), methionine (OR SD = 0.97; 95%CI: 0.94-1.00, p = 0.031), stearic acid (OR SD = 0.93; 95%CI: 0.87-0.99, p = 0.027), carnitine = (OR SD =1.01; 95% CI: 1.00-1.03, p = 0.027), hippuric acid (OR SD = 1.02; 95%CI: 1.00-1.04, p = 0.038) and 3-methylhistidine (OR SD = 1.05; 95%CI: 1.01-1.10, p = 0.02). Two gut microbiome genera were associated with reduced PDAC risk; Clostridium sensu stricto 1 (OR: 0.88; 95%CI: 0.78-0.99, p = 0.027) and Romboutsia (OR: 0.87; 95%CI: 0.80-0.96, p = 0.004). These results, though based only on genetically predicted gut microbiome characteristics and circulating bacteria-related metabolite concentrations, provide evidence for causal associations with pancreatic carcinogenesis., (© 2024. The Author(s).)

Purpose: The C-reactive protein-albumin-lymphocyte (CALLY) index, which simultaneously evaluates the nutritional, immunological, and inflammatory statuses, is a new prognostic biomarker in patients with various cancers; however, no study has reported the clinical significance of the CALLY index in patients with pancreatic cancer. This study aimed to investigate whether the preoperative CALLY index is a prognostic biomarker in patients undergoing surgical resection of pancreatic cancer., Methods: We retrospectively enrolled 461 patients with pancreatic cancer who underwent surgical resection between January 2013 and December 2022. The overall survival (OS) and relapse-free survival (RFS) rates were calculated using the Kaplan-Meier method. Univariate and multivariate analyses were performed using Cox proportional hazards regression models., Results: The optimal cut-off value for the preoperative CALLY index was 1.9. In the low CALLY group, patients were older (p = 0.012), more patients underwent pancreaticoduodenectomy (p = 0.002), the median tumor size was larger (p < 0.001), more patients had pathologically confirmed metastatic lymph nodes (p = 0.015) and worse pathological stage (p = 0.015), and fewer patients received adjuvant chemotherapy (p = 0.003). A low CALLY index was associated with decreased OS (22.1 vs. 37.9 months) and RFS (12.4 vs. 16.4 months). Univariate and multivariate analyses showed that the preoperative CALLY index was an independent prognostic factor for OS (p < 0.001) and RFS (p = 0.045)., Conclusion: The preoperative CALLY index is a prognostic biomarker for both OS and RFS in patients undergoing surgery for pancreatic cancer., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Cytokines can promote various cancer processes, such as angiogenesis, epithelial to mesenchymal transition (EMT), invasion, and tumor progression, and maintain cancer stem-cell-like (CSCs) cells. The mechanism(s) that continuously promote(s) tumors to progress in the TME still need(s) to be investigated. The data in the present study analyzed the inflammatory, angiogenic, fibrogenic, and angiostatic cytokine profiles in the host serum during tumor development in a mouse model of human pancreatic cancer. Pancreatic MiaPaCa-2-eGFP cancer cells were subcutaneously implanted in RAG2xCγ double mutant mice. Blood samples were collected before cancer cell implantation and every week until the end point of the study. The extracted serum from the blood of each mouse at different time points during tumor development was analyzed using a Bio-Plex microarray analysis and a Bio-Plex 200 system for proinflammatory (IL-1β, IL-10, IFN-γ, and TNF-α) and angiogenic and fibrogenic (IL-15, IL-18, basic FGF, LIF, M-CSF, MIG, MIP-2, PDGF-BB, and VEGF) cytokines. Here, we find that during cancer cell colonization for tumor development, host angiogenic, fibrogenic, and proinflammatory cytokine profiling in the tumor-bearing mice has been shown to significantly reduce host angiostatic and proinflammatory cytokines that restrain tumor development and increase those for tumor growth. The proinflammatory cytokines IL-15, IL-18, and IL-1β profiles reveal a significant host serum increase after day 35 when the tumor began to progress in growth. In contrast, the angiostatic cytokine profiles of TNFα, MIG, M-CSF, IL-10, and IFNγ in the host serum revealed a dramatic and significant decrease after day 5 post-implantation of cancer cells. OP treatment of tumor-bearing mice on day 35 maintained high levels of angiostatic and fibrogenic cytokines. The data suggest an entirely new regulation by cancer cells for tumor development. The findings identify for the first time how pancreatic cancer cells use host cytokine profiling to orchestrate the initiation of tumor development.

Introduction: Personalized and tumor-informed circulating tumor DNA (ctDNA) testing is feasible and allows for molecular residual disease (MRD) identification in patients with pancreatic ductal adenocarcinoma (PDAC)., Methods: In this retrospective analysis of commercial cases from multiple US institutions, personalized, tumor-informed, whole-exome sequenced, and germline-controlled ctDNA levels were quantified and analyzed in patients with PDAC. Plasma samples (n = 1329) from 298 clinically validated patients were collected at diagnosis, perioperatively (MRD-window; within 2-12 weeks after surgery, before therapy), and during surveillance (>12 weeks post-surgery if no ACT or starting 4 weeks post-ACT) from November 2019 to March 2023., Results: Of the initially diagnosed patients with stages I-III PDAC who went for resection, the median follow-up time from surgery was 13 months (range 0.1-214). Positive ctDNA detection rates were 29% (29/100) and 29.6% (45/152) during the MRD and surveillance windows, respectively. Positive ctDNA detection was significantly associated with shorter DFS within the MRD window (median DFS of 6.37 months for ctDNA-positive vs 33.31 months for ctDNA-negative patients; HR: 5.45, P < .0001) as well as during the surveillance period (median DFS: 11.40 months for ctDNA-positive vs NR for ctDNA-negative; HR: 12.38, P < .0001). Additionally, DFS was significantly better with KRAS wildtype status followed by KRASG12R (HR: 0.99, P = .97), KRASG12D (HR: 1.42, P = .194), and worse with KRASG12V (HR: 2.19, P = .002) status. In multivariate analysis, ctDNA detection at surveillance was found to be the most significant prognostic factor for recurrence (HR: 24.28, P < .001)., Conclusions: Perioperative tumor-informed ctDNA detection in PDAC is feasible across all stages and is associated with patient survival outcomes., (© The Author(s) 2024. Published by Oxford University Press.)

Extracellular vesicles (EVs) are valuable targets for liquid biopsy. However, attempts to introduce EV-based biomarkers into clinical practice have not been successful to the extent expected. One of the reasons for this failure is the lack of reliable methods for EV baseline purification from complex biofluids, such as cell-free plasma or serum. Because available one-step approaches for EV isolation are insufficient to purify EVs, the majority of studies on clinical samples were performed either on a mixture of EVs and lipoproteins, whilst the real number of EVs and their individual specific biomarker content remained elusive, or on a low number of samples of sufficient volume to allow elaborate 2-step EV separation by size and density, resulting in a high purity but utmost low recovery. Here we introduce Fast Protein Liquid Chromatography (FPLC) using Superose 6 as a matrix to obtain small EVs from biofluids that are almost free of soluble proteins and lipoproteins. Along with the estimation of a realistic number of small EVs in human samples, we show temporal resolution of the effect of the duration of postprandial phase on the proportion of lipoproteins in purified EVs, suggesting acceptable time frames additionally to the recommendation to use fasting samples for human studies. Furthermore, we assessed a potential value of pure EVs for liquid biopsy, exemplarily examining EV- and tumour-biomarkers in pure FPLC-derived fractions isolated from the serum of patients with pancreatic cancer. Consistent among different techniques, showed the presence of diseases-associated biomarkers in pure EVs, supporting the feasibility of using single-vesicle analysis for liquid biopsy., (© 2024 The Author(s). Journal of Extracellular Vesicles published by Wiley Periodicals LLC on behalf of International Society for Extracellular Vesicles.)

Background: Identification of homologous recombination deficiency (HRD) remains a challenge in advanced pancreatic cancer (APC). We investigated the utility of circulating tumour DNA (ctDNA) profiling in the assessment of BRCA1/2 and ATM mutation status and treatment selection in APC., Methods: We analysed clinical and ctDNA data of 702 patients with APC enroled in GOZILA, a ctDNA profiling study using Guardant360., Results: Inactivating BRCA1/2 and ATM mutations were detected in 4.8% (putative germline, 3.7%) and 4.4% (putative germline, 0.9%) of patients, respectively. Objective response (63.2% vs. 16.2%) and PFS (HR 0.55, 95% CI 0.32-0.93) on platinum-containing chemotherapy were significantly better in patients with putative germline BRCA1/2 (gBRCA) mutation than those without. In contrast, putative gBRCA mutation had no impact on the efficacy of gemcitabine plus nab-paclitaxel. In 2 patients treated with platinum-containing therapy, putative BRCA2 reversion mutations were detected. Three of seven patients with somatic BRCA mutations responded to platinum-containing therapy, while only one of four with putative germline ATM mutations did. One-third of somatic ATM mutations were in genomic loci associated with clonal haematopoiesis., Conclusion: Comprehensive ctDNA profiling provides clinically relevant information regarding HRD status. It can be a practical, convenient option for HRD screening in APC., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Background: Pancreatic cancer is often diagnosed at advanced stages, and early-stage diagnosis of pancreatic cancer is difficult because of nonspecific symptoms and lack of available biomarkers., Methods: We performed comprehensive serum miRNA sequencing of 212 pancreatic cancer patient samples from 14 hospitals and 213 non-cancerous healthy control samples. We randomly classified the pancreatic cancer and control samples into two cohorts: a training cohort (N = 185) and a validation cohort (N = 240). We created ensemble models that combined automated machine learning with 100 highly expressed miRNAs and their combination with CA19-9 and validated the performance of the models in the independent validation cohort., Results: The diagnostic model with the combination of the 100 highly expressed miRNAs and CA19-9 could discriminate pancreatic cancer from non-cancer healthy control with high accuracy (area under the curve (AUC), 0.99; sensitivity, 90%; specificity, 98%). We validated high diagnostic accuracy in an independent asymptomatic early-stage (stage 0-I) pancreatic cancer cohort (AUC:0.97; sensitivity, 67%; specificity, 98%)., Conclusions: We demonstrate that the 100 highly expressed miRNAs and their combination with CA19-9 could be biomarkers for the specific and early detection of pancreatic cancer., (© 2024. The Author(s).)

Purpose: DOTATATE PET/CT (DOTATATE) is superior to conventional imaging in detecting metastasis for gastroenteropancreatic neuroendocrine tumors (GEP-NETs). However, limited availability, high-cost, and additive radiation exposure necessitate guidelines for its use. This study seeks to investigate the relationship between clinical characteristics and metastasis on DOTATATE., Methods: This was a retrospective analysis of 815 patients who underwent DOTATATE at UCLA from 2014 to 2022. After applying inclusion and exclusion criteria, the study cohort consisted of 163 patients with pathologically diagnosed GEP-NETs, who either underwent primary tumor resection within 1-year prior, or had not undergone resection at the time of DOTATATE imaging. The presence of metastasis was determined using DOTATATE. Fisher's exact test, chi-squared test, and Mann-Whitney test were conducted to compare intergroup difference. Multivariate analysis was performed to identify clinical characteristics associated with metastasis on DOTATATE., Results: Of patients with GEP-NETs, 40.5% (n = 66) were diagnosed with metastases by using DOTATATE. Those with metastatic disease were more likely to exhibit a larger primary tumor size (median 3.4 vs. 1.2, cm, P < 0.001), elevated serum chromogranin A level (CgA, median 208 vs. 97, mg/ml, P = 0.005), and higher tumor grade (P < 0.001). Primary tumor size ≥2 cm and serum CgA level ≥150 ng/mL for metastatic disease had a sensitivity and specificity of 64% and 89%, and 72% and 59%, respectively. Multivariate analysis demonstrated that primary tumor size (≥2/<2, cm, odds ratio [OR] 47.90, P < 0.001), tumor functionality (functional/nonfunctional, adjusted OR 10.17 P = 0.008), serum CgA level (≥150/<150, ng/ml, OR 6.25, P = 0.005), and tumor grade G2 (G2/G1, OR 9.6, P < 0.001) were independently associated with metastases on DOTATATE., Conclusions: Among patients with GEP-NETs, primary tumor size ≥2 cm, serum CgA level ≥150 ng/mL, and tumor grade G2 are associated with an increased risk of metastases on DOTATATE, and these predictors may be helpful to identify patients where DOTATATE is indicated for complete staging., (© 2024. Society of Surgical Oncology.)

Background: Identifying patients who can be spared nonbeneficial surgery is crucial, as pancreatic cancer surgery is highly invasive, with substantial negative effects on quality of life. The study objective was to investigate a useful indicator of patients who do not gain prognostic benefit from radical surgery after neoadjuvant therapy for resectable and borderline resectable pancreatic cancer., Method: We compared factors among 609 patients with resectable or borderline resectable pancreatic cancer receiving neoadjuvant therapy during 2005-2019. Patients were divided into a poor-prognosis group (no surgery or postresection recurrence within a year) and a good-prognosis group (no recurrence or recurrence >1 year after resection)., Results: Patients who experience a recurrence within a year of resection (poor-prognosis group) did no better than patients who received neoadjuvant therapy and progressed but never made it to surgery. The value of carbohydrate antigen 19-9 after neoadjuvant therapy was the most significant indicator to predict the poor prognosis group and the elevation of carbohydrate antigen 19-9 (>200 U/mL) identified only poor prognosis group with high specificity of 96.6%. The overall survival of patients with more than 200 of carbohydrate antigen 19-9 after neoadjuvant therapy was significantly very poor and their 2-year survival rate was only 41.4%., Conclusion: A striking elevation of carbohydrate antigen 19-9 after neoadjuvant therapy for resectable or borderline resectable pancreatic cancer is a good indicator of poor prognosis. Patients with carbohydrate antigen 19-9 >200 U/mL after neoadjuvant therapy should not undergo radical surgery., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: CA 19-9 is an extremely useful biomarker for pancreatic ductal adenocarcinomas (PDACs). However, the optimal cut-off and prognostic significance at higher cut-offs are yet to be determined., Methods: Retrospective analysis included patients with PDAC who underwent curative resection from January 2010 to May 2020 at Tata Memorial Centre, Mumbai. The pretherapy CA 19-9 was dichotomized using various cut-off levels and analysed., Results: In 244 included patients, the median overall survival (OS) for those with CA19-9 level (IU/ml) < or >78, 200, 500, 1000, and 2000 was 27, 24, 23, 22, 21 months versus 18, 16, 15, 14, 13 months; respectively, and was statistically significant (p-value- 0.002, 0.001, 0.002, 0.002 and 0.004, respectively). The number of recurrences and mortality had significant correlation with CA 19-9 cut-offs. On multivariate analysis, adjuvant treatment completion (p-0.004) and decreasing or stable CA19-9 after Neoadjuvant therapy (NAT) (p- 0.031) were associated with improved OS., Conclusion: The prognostic significance of CA 19-9 was observed at all the cut-off levels examined, beyond mere elevated value as per the standard cut-off level. In patients with high CA19-9 level, surgery should be offered if technically and conditionally feasible, only when a response in CA19-9 level to NAT is achieved., (Copyright © 2024 International Hepato-Pancreato-Biliary Association Inc. All rights reserved.)

Aim: The study is to evaluate serum HSP70 and VEGF for predicting the chemoradiosensitivity of the pancreatic cancer patients., Materials and Methods: 255 pancreatic cancer patients and 60 healthy subjects were measured for serum HSP70 and VEGF using ELISA for the pretreatment, during treatment, and postchemoradiotherapy timepoints., Results: The serum HSP70 and VEGF were found to be elevated in pancreatic cancer patients as compared to healthy subjects. After chemoradiotherapy treatment, 179 patients showed effective clinical response while 76 patients showed ineffective clinical response. Serum HSP70 and VEGF were higher during chemoradiotherapy, and lower posttreatment in the effective group. However, serum HSP70 and VEGF were higher during and after treatment in the ineffective group. At any given timepoint, serum HSP70 and VEGF were higher in the ineffective group compared with the effective group. The overall survival and progression-free survival trends were as follows: HSP70 High /VEGF High < HSP70 High /VEGF Low or HSP70 Low /VEGF High < HSP70 Low /VEGF Low . Serum HSP70 and VEGF were individually effective, and their combination was even more effective in predicting the chemoradiosensitivity of pancreatic cancer patients. HSP70 and VEGF were independent risk factors for overall survival and progression-free survival of pancreatic cancer patients., Conclusions: Low levels of serum HSP70 and VEGF were associated with improved radiosensitivity and better prognosis of pancreatic cancer patients., Competing Interests: The authors declare no conflict of interests., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background and Aims: Adipokines are among the biomarkers that have been studied in chronic pancreatitis (CP), as well as in pancreatic cancer (PC). So far, the existing findings are contradictory and inconclusive. Therefore, we assessed the levels of three major adipokines in CP in comparison to controls and PC, adiponectin, leptin, and resistin., Methods: A systematic electronic search was carried out in November 2022 using PubMed, Embase, and Scopus, reviewing observational studies. By using the Newcastle-Ottawa Scale, the included studies' quality was evaluated (NOS). In the examination of the estimated overall effect size, we employed the random-effects model in conjunction with the mean difference (MD) analysis. The MD with 95% confidence interval (CI) served as the primary summary outcome., Results: Our systematic review included a total of 14 studies, out of which nine were considered in our meta-analysis. A significant MD related to leptin levels in CP patients vs. controls (-1.299, 95%CI: -2.493 - -0.105), resistin levels in CP patients vs. controls (8.356, 95%CI: 3.700-13.012), and adiponectin levels in PC patients vs. controls (11.240, 95%CI: 5.872-16.60) was reported. However, no significant MD was reported in leptin levels between CP vs. PC patients (-0.936, 95%CI: -3.325-1.454), as well as adiponectin levels in CP patients vs. controls (0.422. 95%CI -5.651-6.535]) and in CP vs. PC patients (-6.252, 95%CI -13.269-0.766)., Conclusions: CP was significantly associated with decreased leptin levels and increased resistin levels. Furthermore, increased levels of adiponectin are associated with PC. Yet, no significant MD was seen for leptin and adiponectin levels between CP and PC patients, and likewise for adiponectin levels between CP patients and controls. Results should be interpreted with caution due to the high heterogeneity between the included studies.

Here, we present a method for enrichment of double-stranded cfDNA with an average length of ∼40 bp from cfDNA for high-throughput DNA sequencing. This class of cfDNA is enriched at gene promoters and binding sites of transcription factors or structural DNA-binding proteins, so that a genome-wide DNA footprint is directly captured from liquid biopsies. In short double-stranded cfDNA from healthy individuals, we find significant enrichment of 203 transcription factor motifs. Additionally, short double-stranded cfDNA signals at specific genomic regions correlate negatively with DNA methylation, positively with H3K4me3 histone modifications and gene transcription. The diagnostic potential of short double-stranded cell-free DNA (cfDNA) in blood plasma has not yet been recognized. When comparing short double-stranded cfDNA from patient samples of pancreatic ductal adenocarcinoma with colorectal carcinoma or septic with postoperative controls, we identify 136 and 241 differentially enriched loci, respectively. Using these differentially enriched loci, the disease types can be clearly distinguished by principal component analysis, demonstrating the diagnostic potential of short double-stranded cfDNA signals as a new class of biomarkers for liquid biopsies., (© 2024 Müller et al.; Published by Cold Spring Harbor Laboratory Press.)

Purpose: Pancreatic ductal adenocarcinoma (PDAC) has been shown to have a lower incidence in patients with blood group O. It is currently uncertain if patients with group O have a better prognosis after pancreatectomy. This study assessed the overall survival (OS) and disease-free survival (DFS) of PDAC patients who underwent upfront pancreatoduodenectomy based on ABO blood groups., Methods: A cross-sectional study was performed including patients from two university centers. All consecutive head PDAC patients who underwent upfront pancreatoduodenectomy from 2000 to 2016 were included. OS and DFS were compared between blood groups A, B, AB, and O using Kaplan-Meier curves and log-rank tests., Results: A total of 438 patients were included (215 women, median age 67). Pre- and intraoperative details were comparable between all subgroups. Median OS did not differ between the four blood groups (A: 23 months, 95% CI 18-28; B: 32, 95% CI 20-44; AB: 37, 95% CI 18-56 and O: 26, 95% CI 20-32, p = 0.192). Median DFS were also similar (A: 19 months, 95% CI 15-23; B: 26, 95% CI 19-33; AB: 35, 95% CI 15-55 and O: 22, 95% CI 15-29, p = 0.441). There was no OS difference between O and non-O groups (median: 26 months, 95% CI 20-33 vs. 25 months, 95% CI 20-30, p = 0.773). On multivariable analysis blood groups were not prognostic of OS. Only lymph node involvement, tumor differentiation, and adjuvant chemotherapy were independent prognostic factors., Conclusion: OS and DFS were similar between all four blood groups after pancreatoduodenectomy. Independent predictors of OS were associated with tumor characteristics and adjuvant treatment., (© 2024. The Author(s).)

Pancreatic ductal adenocarcinoma (PDAC) has a high recurrence rate even after radical resection because of subclinical tumors. To manage them, a reliable biomarker that can indicate the presence of subclinical tumors and predict their chemosensitivity is required. This study aimed to identify a miRNA as a biomarker that can be used to individualize postoperative adjuvant chemotherapy using postoperative peripheral blood samples. Integrating miRNA microarray data from the blood of 18 patients with PDAC and the in vitro results regarding the phenotypes of chemoresistant PDAC cells, a candidate miRNA was identified. The relationships between candidate miRNA expression and chemosensitivity were examined in vitro and in clinical samples from other cohorts of 33 patients with recurrence. Comprehensive analyses of blood samples detected 5 candidate miRNAs. Of these, miR-26a-5p was considered a candidate biomarker of chemosensitive phenotypes. In validation experiments, chemosensitivity was inversely correlated with miR-26a-5p expression in vitro. Moreover, the ability of miR-26a-5p to predict chemosensitivity was clinically evaluated using blood samples. Patients with high miR-26a-5p expression in the blood after radical resection exhibited a significantly longer survival time after recurrence. Thus, we concluded that miR-26a-5p is a potentially useful biomarker for managing patients with PDAC, especially those undergoing adjuvant chemotherapy., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Takeda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Neuroendocrine tumors (NETs) are a heterogeneous group of tumors that are characteristically different from other malignancies. The difference is not only in the prognosis, which is usually more favorable in such patients, but also in the high clinical progression of the disease, where NET patients do not experience the cachexia typical of other malignancies. The purposes of this study were to evaluate the ghrelin and leptin levels in a group of patients diagnosed with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and bronchopulmonary neuroendocrine tumors (BP-NETs) and to analyze the relationship between the body mass index (BMI), cachexia and selected NET markers. The study group comprised 52 patients with GEP-NETs and BP-NETs, while the controls comprised 67 healthy volunteers. The ghrelin and leptin concentrations were determined in both groups. The concentrations of chromogranin A, serotonin, 5-hydroxyindoleacetic acid (5-HIAA), total cholesterol, triglycerides and glucose were determined in the study group. Characteristics of the study group and of the controls were defined by age, sex and BMI, and the effects of these factors on the ghrelin and leptin concentrations were assessed. The data obtained were subject to statistical analysis. The study cohort showed higher levels of ghrelin as compared to the controls (142.31 ± 26.00 vs. 121.49 ± 35.45, p = 0.016), and no statistical difference in the levels of leptin (11.15 ± 9.6 vs. 12.94 ± 20.30, p = 0.439) were observed. Significantly lower levels of leptin were found in patients with the small intestine primary location, as compared to individuals with primary locations in the lungs and the pancreas (4.9 ± 6.49 vs. 16.97 ± 15.76, p = 0.045, and 4.9 ± 6.49 vs. 12.89 ± 8.56, p = 0.016, respectively). A positive correlation was observed between the leptin levels and the BMIs in both the study group (r S = 0.33, p = 0.016) and the controls (r S = 0.41, p = 0.001). The study group showed a negative correlation between the leptin levels and 5-HIAA (r S = -0.32, p = 0.026) and a negative correlation between the leptin levels and Ki-67 (r S = -0.33, p = 0.018). The control group showed negative correlations between the ghrelin and the volunteer age (r S = -0.41, p = 0.008), the leptin and the volunteer age (r S = -0.44, p < 0.001), the leptin and total cholesterol (r S = -0.24, p < 0.049) as well as the leptin and triglycerides (r S = -0.33, p < 0.006). The current study emphasized the importance of the markers' determination, where ghrelin appears as a valuable diagnostic biomarker in NETs, probably responsible for maintaining a normal BMI, despite the progression of the disease.

Background: Although CA19-9 is an essential blood biomarker of pancreatic cancer (PC), its sensitivity and specificity are limited for early detection., Methods: We analyzed the serum proprotein convertase subtilisin/kexin type 9 (sPCSK9) in PC patients, benign disease groups (BDG), and healthy controls (HC) by ELISA., Results: Consistently, sPCSK9 was considerably lower in PC patients than in HC (Z = -2.546, P < 0.05), and sPCSK9 in PC patients was statistically significantly higher than in BDG (Z = -5.457, P < 0.001). sPCSK9 was linked to the invasion of lymph nodes (χ 2 = 6.846, P < 0.01). According to ROC curves, combining sPCSK9 with CA19-9 could potentially enhance the diagnostic capability of CA19-9 in early-stage PC patients. Furthermore, the low sPCSK9 group ( n = 41) exhibited statistically significantly prolonged overall survival compared to the high sPCSK9 group ( n = 15), with median survival times of 27 months (95% CI [17.59-36.41]) and 11 months (95% CI [7.21-14.79]), respectively ( P = 0.022)., Conclusion: The diagnostic performance of CA19-9 for early-stage PC patients could be improved by combining sPCSK9 with CA19-9. Moreover, the higher sPCSK9 group has a significantly shorter overall survival rate., Competing Interests: The authors declare that they have no competing interests., (© 2024 Xu et al.)

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, presenting a persisting global health burden. Neutrophils have a double-edged role in tumor progression exhibiting both pro-tumor and anti-tumor functions. CD71, also known as transferrin receptor 1, performs a critical role in cellular iron uptake and is highly expressed on proliferating cells, and especially on activated immune cells. CD71 is known to be elevated in various types of solid cancers and is associated with poor prognosis, however, the expression of CD71 on neutrophils in PDAC and its potential clinical impact is still unknown. Therefore, we analyzed CD71 on circulating neutrophils in PDAC and clinical control patients and found a significant increased expression in PDAC patients. High expression of CD71 on neutrophils in PDAC patients was associated with reduced outcome compared to low expression. CD71 on neutrophils correlated positively with the levels of proinflammatory cytokines IL-6, IFN-γ, and growth factor ligands CD40-L, and BAFF in plasma of PDAC patients. Finally, we have demonstrated that high expression of CD71 on neutrophils was also associated with an increased expression of CD39 and CD25 on circulating T-cells. Based on our findings, we hypothesize that CD71 on neutrophils is associated with tumor progression in PDAC. Further studies are required to investigate the distinct functionality of CD71 expressing neutrophils and their potential clinical application., (© 2024. The Author(s).)

Pancreatic cancer is one of the deadliest cancers worldwide, mainly due to late diagnosis. Therefore, there is an urgent need for novel diagnostic approaches to identify the disease as early as possible. We have developed a diagnostic assay for pancreatic cancer based on the detection of naturally occurring tumor associated autoantibodies against Mucin-1 (MUC1) using engineered glycopeptides on nanoparticle probes. We used a structure-guided approach to develop unnatural glycopeptides as model antigens for tumor-associated MUC1. We designed a collection of 13 glycopeptides to bind either SM3 or 5E5, two monoclonal antibodies with distinct epitopes known to recognize tumor associated MUC1. Glycopeptide binding to SM3 or 5E5 was confirmed by surface plasmon resonance and rationalized by molecular dynamics simulations. These model antigens were conjugated to gold nanoparticles and used in a dot-blot assay to detect autoantibodies in serum samples from pancreatic cancer patients and healthy volunteers. Nanoparticle probes with glycopeptides displaying the SM3 epitope did not have diagnostic potential. Instead, nanoparticle probes displaying glycopeptides with high affinity for 5E5 could discriminate between cancer patients and healthy controls. Remarkably, the best-discriminating probes show significantly better true and false positive rates than the current clinical biomarkers CA19-9 and carcinoembryonic antigen (CEA)., (© 2024 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.)

Background: Pancreatic cancer (PC) is usually detected in the advanced stages. Liquid biopsy has become a revolutionary strategy for cancer diagnosis and prognosis prediction. This study aims to investigate the diagnostic and prognostic value of circulating exosomal glypican-1 (GPC-1) in PC., Methods: We systematically searched relevant studies. For diagnostic accuracy, pooled sensitivity and specificity and the area under the summary receiver operating characteristic curve (AUC) were calculated. Regarding prognostic value, hazard ratios (HRs) and 95% CIs for overall survival (OS) were summarized by using a random-effects model., Results: We found 8 studies that examined the diagnostic value of circulating exosomal GPC-1 in PC, and 3 studies that investigated its prognostic value. Pooled sensitivity and specificity were 0.88 (95% CI, 0.65-0.97) and 0.86 (95% CI, 0.72-0.94). The AUC was 0.93 (95% CI, 0.90-0.95). Prognostic analysis showed that higher levels of circulating exosomal GPC-1 were associated with poorer OS in PC patients, and the combined HR for OS was 4.59 (random-effects model, 95% CI = 1.17-18.03, P = .022). The results of both studies were robust and neither had publication bias., Conclusion: Circulating exosomal GPC-1 may be used as a diagnostic and prognostic biomarker for PC. However, this result needs to be validated by further research using a larger sample size., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Pancreatic ductal adenocarcinoma (PDAC) is frequently detected in late stages, which leads to limited therapeutic options and a dismal overall survival rate. To date, no robust method for the detection of early-stage PDAC that can be used for targeted screening approaches is available. Liquid biopsy allows the minimally invasive collection of body fluids (typically peripheral blood) and the subsequent analysis of circulating tumor cells or tumor-associated molecules such as nucleic acids, proteins, or metabolites that may be useful for the early diagnosis of PDAC. Single biomarkers may lack sensitivity and/or specificity to reliably detect PDAC, while combinations of these circulating biomarkers in multimarker panels may improve the sensitivity and specificity of blood test-based diagnosis. In this narrative review, we present an overview of different liquid biopsy biomarkers for the early diagnosis of PDAC and discuss the validity of multimarker panels., (© 2024. The Author(s).)

As novel biomarkers for gastroenteropancreatic neuroendocrine tumors (GEPNET) are in demand, we aimed to validate the clinical value of the NETest in Japanese patients. Between 2021 and 2023, blood and clinical data were collected from patients with GEPNET. Among 35 patients (median age: 59 [49-66] years), 27 cases originated from the pancreas and eight from the gastrointestinal tract. Of 69 samples sent to the laboratory, 56 (81.2%) underwent NETest. The diagnostic sensitivity was 97.1%. Among three patients who underwent R0 resection and four treated with peptide receptor radionuclide therapy, the changes in NETest scores closely correlated with disease progression. The NETest demonstrated high diagnostic efficacy and accurate therapeutic monitoring capabilities in a Japanese population.

Aims and Background: Matrix metalloproteinase-7 (MMP-7) and Syndecan-1 (SDC1) are involved in multiple functions during tumorigenesis. We aimed to evaluate the diagnostic and prognostic performance of these serum proteins, as potential biomarkers, in patients with pancreatic ductal adenocarcinoma (PDAC) and benign pancreatic cysts., Methods: In this case-control study, patients with newly diagnosed PDAC (N = 121) were compared with the benign cyst (N = 66) and healthy control (N = 48) groups. Serum MMP-7 and SDC1 were measured by ELISA. The diagnostic accuracy of their levels for diagnosing PDAC and pancreatic cysts was computed, and their association with survival outcomes was evaluated., Results: MMP-7 median serum levels were significantly elevated in the PDAC (7.3 ng/mL) and cyst groups (3.7 ng/mL) compared with controls (2.9 ng/mL) (p < 0.001 and 0.02, respectively), and also between the PDAC and cyst groups (p < 0.001), while SDC1 median serum levels were significantly elevated in PDAC (43.3 ng/mL) compared with either cysts (30.1 ng/mL, p < 0.001) or controls (31.2 ng/mL, p < 0.001). The receiver operating characteristic curve analysis area under the curve in PDAC versus controls was 0.90 and 0.78 for MMP-7 and SDC1, respectively, while it was 1.0 for the combination of the two and CA 19-9 (p < 0.001). The combination of the three biomarkers had a perfect sensitivity (100%)., Conclusions: Due to its high sensitivity, this biomarker panel has the potential to rule out PDAC in suspected cases., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Background/aim: Pancreatic cancer has a very poor prognosis with a 5-year survival rate of less than 5% among patients with distant metastasis, a figure that has not improved over many decades. Only 10 to 20% patients are candidates for curative surgery at presentation due to the aggressive nature and asymptomatic progression of pancreatic cancer. Although first-line chemotherapy, such as FOLFIRINOX and gemcitabine + nab paclitaxel, improved the median survival from 8.5 to 11.1 months, more effective treatments are immediately needed. The aim of the present study was to evaluate the efficacy of methionine restriction with oral rMETase (o-rMETase) and a low-methionine diet combined with first-line chemotherapy on a patient with stage IV metastatic pancreatic cancer., Case Report: A 63-year-old female was diagnosed with metastatic pancreatic cancer in October 2023. The patient started FOLFIRINOX as first-line chemotherapy in combination with methionine restriction, which comprised o-rMETase 250 units twice a day and a low-methionine diet. The patient was monitored using computed tomography and CA19-9 blood tests. After five months from the start of combination therapy, the size of the primary tumor decreased by 40% along with liver-metastasis regression. The CA19-9 blood marker decreased by 86%. The patient sustains a high performance status and continues the combination therapy without severe side effects., Conclusion: Methionine restriction consisting of o-rMETase and a low-methionine diet, in combination with first-line chemotherapy, was highly effective in a patient with inoperable stage IV pancreatic cancer., (Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Pancreatic ductal adenocarcinoma (PDAC) suffers from a lack of an effective diagnostic method, which hampers improvement in patient survival. Carbohydrate antigen 19-9 (CA19-9) is the only FDA-approved blood biomarker for PDAC, yet its clinical utility is limited due to suboptimal performance. Liquid chromatography-mass spectrometry (LC-MS) has emerged as a burgeoning technology in clinical proteomics for the discovery, verification, and validation of novel biomarkers. A plethora of protein biomarker candidates for PDAC have been identified using LC-MS, yet few has successfully transitioned into clinical practice. This translational standstill is owed partly to insufficient considerations of practical needs and perspectives of clinical implementation during biomarker development pipelines, such as demonstrating the analytical robustness of proposed biomarkers which is critical for transitioning from research-grade to clinical-grade assays. Moreover, the throughput and cost-effectiveness of proposed assays ought to be considered concomitantly from the early phases of the biomarker pipelines for enhancing widespread adoption in clinical settings. Here, we developed a fit-for-purpose multi-marker panel for PDAC diagnosis by consolidating analytically robust biomarkers as well as employing a relatively simple LC-MS protocol. In the discovery phase, we comprehensively surveyed putative PDAC biomarkers from both in-house data and prior studies. In the verification phase, we developed a multiple-reaction monitoring (MRM)-MS-based proteomic assay using surrogate peptides that passed stringent analytical validation tests. We adopted a high-throughput protocol including a short gradient (<10 min) and simple sample preparation (no depletion or enrichment steps). Additionally, we developed our assay using serum samples, which are usually the preferred biospecimen in clinical settings. We developed predictive models based on our final panel of 12 protein biomarkers combined with CA19-9, which showed improved diagnostic performance compared to using CA19-9 alone in discriminating PDAC from non-PDAC controls including healthy individuals and patients with benign pancreatic diseases. A large-scale clinical validation is underway to demonstrate the clinical validity of our novel panel., Competing Interests: Conflict of interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: H. K., S. H., and J. P. reported being members of Bertis Inc. S. S. K. and U. B. K. reported being members of Bertis Inc. and holding stock options of the Bertis Inc. J. Y. J. reported receiving honoraria for advisory board participation from Bertis Inc. No other disclosures were reported., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Systemic inflammation and altered metabolism are essential hallmarks of cancer. We hypothesized that the rapid turnover protein transthyretin (TTR) (half-life: 2-3 days), compared with the conventional marker albumin (21 days), better reflects the inflammatory/metabolic dynamics of pancreatic ductal adenocarcinoma (PDAC) after neoadjuvant therapy (NAT) and is a useful prognostic marker., Methods: Serum TTR and albumin levels were measured in 104 consecutive post-NAT PDAC patients before curative resection. The associations of preoperative TTR and albumin levels with overall survival (OS) after pancreatectomy were retrospectively analyzed., Results: The mean (SD) TTR and albumin levels were 21.6 (6.4) mg/dL (normal range: ≥22.0 mg/dL) and 3.9 (0.55) g/dL. A low (<22.0 mg/dL) post-NAT TTR level was associated with an advanced tumor stage and higher CEA and CRP levels. Patients with low TTR levels showed significantly worse OS compared with normal levels (3-year OS 39 % vs. 54 %, P = 0.037), although albumin levels did not. We modified prognostic biomarkers of systemic inflammation/metabolism, such as GPS, PNI, and CONUT scores, using the serum TTR instead of albumin level and successfully showed that modified scores were better associated with OS compared with original scores using serum albumin level., Conclusions: Our data suggest that the TTR level is a promising prognostic biomarker for PDAC patients after NAT., Competing Interests: Declaration of competing interest The authors have no conflicts of interest to disclose., (Copyright © 2024. Published by Elsevier B.V.)

The notion that technically resectable pancreatic ductal adenocarcinoma presents as localized disease is now known to be inaccurate. Evidence supports that most patients have subclinical systemic dissemination at the time of diagnosis. It is now widely accepted that both a local and systemic component of disease coexist, each requiring treatment of improved survival and potential cure. The advent of multiagent chemotherapy regimens has resulted in a modest improvement in survival. Consequently, this article will emphasize the expanding potential and significance of circulating tumor cells in the prognostication and management of patients with pancreatic cancer., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2024. Published by Elsevier Inc.)

The carbohydrate antigen 19-9 (CA19-9) is commonly used as a representative biomarker for pancreatic cancer (PC); however, it lacks sensitivity and specificity for early-stage PC diagnosis. Furthermore, some patients with PC are negative for CA19-9 (<37 U/mL), which introduces additional limitations to their accurate diagnosis and treatment. Hence, improved methods to accurately detect PC stages in CA19-9-negative patients are warranted. In this study, tumor-proximal liquid biopsy and inertial microfluidics were coupled to enable high-throughput enrichment of portal venous circulating tumor cells (CTCs) and support the effective diagnosis of patients with early-stage PC. The proposed inertial microfluidic system was shown to provide size-based enrichment of CTCs using inertial focusing and Dean flow effects in slanted spiral channels. Notably, portal venous blood samples were found to have twice the yield of CTCs (21.4 cells per 5 mL) compared with peripheral blood (10.9 CTCs per 5 mL). A combination of peripheral and portal CTC data along with CA19-9 results showed to greatly improve the average accuracy of CA19-9-negative PC patients from 47.1% with regular CA19-9 tests up to 87.1%. Hence, portal venous CTC-based microfluidic biopsy can be used with high sensitivity and specificity for the diagnosis of early-stage PC, particularly in CA19-9-negative patients., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objective: Pancreatic cancer is an increasing cause of cancer-related mortality, with persistently low survival rates. We investigated the clinical diagnostic value of the combination of preoperative serum carbohydrate antigen 19-9 (CA19-9), albumin-bilirubin (ALBI) score, and 18 F-fluoro-2-deoxy- d -glucose PET integrated with computed tomography ( 18 F-FDG PET/CT) imaging in pancreatic cancer preoperative resectability., Methods: This study included 143 pancreatic cancer patients, including 68 preoperative resectable and 75 preoperative unresectable pancreatic cancer patients. Meanwhile, 67 patients with non-pancreatic cancer were included as the control group. The clinical data were collected. Serum CA19-9 level was measured by ELISA. The levels of total bilirubin and albumin were determined using a biochemical analyzer, with the ALBI score calculated. All patients underwent 18 F-FDG PET/CT imaging. The consistency of the diagnosis was evaluated by the Kappa test. Logistic univariate and multivariate regression analyses were performed. The diagnostic efficacy of these parameters was evaluated using receiver operating characteristic (ROC) curves, and the optimal ROC curve thresholds were obtained using the Youden index., Results: The preoperative serum CA19-9 and ALBI score of patients with preoperative resectable pancreatic cancer were increased, which helped diagnose preoperative resectable pancreatic cancer. 18 F-FDG PET/CT imaging had diagnostic value for preoperative resectable pancreatic cancer. Preoperative serum CA19-9, ALBI score, and 18 F-FDG PET/CT imaging were independent influencing factors for pancreatic cancer preoperative resectability, and their combination had higher diagnostic value for preoperative resectable pancreatic cancer than any single of these indexes., Conclusion: The combination of preoperative serum CA19-9, ALBI score, and 18 F-FDG PET/CT imaging had high diagnostic value for pancreatic cancer preoperative resectability., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Pancreatic ductal adenocarcinoma (PDAC) has a high fatality rate, with surgery as the only curative treatment. Identification of new biomarkers related to survival may help guide discovery of new pathophysiologic pathways and potential therapeutic targets. As long-chain ceramides have been linked to tumor proliferation, we sought to determine if ceramide levels were prognostic in PDAC., Methods: Patients from two phase I studies of PDAC were followed for all-cause mortality. Ceramide levels (C24:0, C22:0, and C16:0) were quantified before treatment and at study intervals. Multivariable Cox regression models assessed the association of ceramide levels and mortality after adjusting for other univariable predictors, including time-dependent tumor resection. The ability of repeated ceramide measures to discriminate patients at risk for mortality was also assessed using multivariable modeling and the c-statistic., Results: Higher plasma C16:0 concentration was associated with higher all-cause mortality in univariable and multivariable analysis (adjusted hazard ratio [aHR] 1.41, 95% confidence interval [CI] 1.09-1.82; p < 0.01). In contrast, a higher plasma C24:0/C16:0 ratio was associated with lower all-cause mortality in multivariable analysis (aHR 0.69, 95% CI 0.49-0.97; p = 0.032). Discrimination of mortality was significantly improved with the addition of either plasma C16:0 or C24:0/C16:0 levels, with optimal discrimination occurring using repeated measures of the C24:0/C16:0 ratio (c-statistic 0.73 vs. c-statistic 0.66; p < 0.001)., Conclusions: Higher plasma C16:0 and lower C24:0/C16:0 ratios are independently associated with mortality in PDAC and show an ability to improve discrimination of mortality in this deadly disease. Further studies are needed to confirm this association and evaluate this novel pathway for potential therapeutic targets., (© 2024. Society of Surgical Oncology.)

Objectives: Although systemic chemotherapy for pancreatic ductal adenocarcinoma (PDAC) has made progress, ensuring long-term survival remains difficult. There are several reports on the usefulness of neutrophil-to-lymphocyte ratio (NLR) in predicting the prognosis of PDAC, but few reports in systemic chemotherapy. We hereby investigated the usefulness of NLR in systemic chemotherapy for PDAC., Materials and Methods: A retrospective study was conducted on patients with advanced PDAC treated with first-line systemic chemotherapy. Cox regression hazards models were performed to analyze the association between baseline patient characteristics and the initial treatment response, and overall survival (OS)., Results: A total of 60 patients with PDAC were enrolled. At baseline, there were significant differences in NLR and carbohydrate antigen 19-9 (CA19-9), as well as the selection rate of combination chemotherapy, between patients with partial response or stable disease and those with progressive disease. Univariate and multivariate analysis showed that NLR < 3.10, combination chemotherapy, and CA19-9 < 1011 U/mL were significant and independent predictive factors of the initial treatment response. Meanwhile, NLR < 3.10 and combination chemotherapy were independently associated with longer OS. Moreover, OS was significantly prolonged in patients with NLR < 3.10, regardless of whether combination chemotherapy or monotherapy. Patients with NLR < 3.10 at baseline had a significantly higher conversion rate to third-line chemotherapy and a longer duration of total chemotherapy., Conclusions: This study suggests that NLR may be a useful marker for predicting the initial treatment response to first-line chemotherapy and the prognosis for patients with advanced PDAC.

Objective: To examine the characteristics of patients with pancreatic cancer with long-term survival., Background: Although pancreatic cancer is a highly lethal malignancy, a minority of patients experience long-term survival. The characteristics of these patients remain largely unidentified., Methods: An indolent subgroup was established using carbohydrate antigen 19-9 (CA19-9), which is the best-validated biomarker for pancreatic cancer. Of 1558 patients, 13.9% were included in the CA19-9-normal (≤37 U/mL) subgroup., Results: A normal CA19-9 level was an independent variable for overall survival (median survival, 18.1 vs 9.7 months, hazard ratio = 0.53, P < 0.001). The 5-year survival of patients with stage IV CA19-9-normal cancer was higher than that of patients with stage I-IV CA19-9-high cancer (22.4% vs 6.8%, P = 0.034). The CA19-9-normal subgroup exhibited reduced levels of circulating glucose ( P < 0.001) and increased expression of insulin ( P < 0.001) compared with the CA19-9-high subgroup. Glucose was a substrate for CA19-9 biosynthesis through the hexosamine biosynthesis pathway. In addition, in pancreatic cancer animal models of diabetes, glucose control decreased CA19-9 levels and improved overall survival. In a clinical trial (NCT05306028) of patients before undergoing major anticancer treatments, glucose control decreased CA19-9 levels in 90.9% of the patients., Conclusions: CA19-9-normal pancreatic cancer is a strikingly indolent subgroup with low glucose and high insulin. Glucose control is a promising therapeutic strategy for pancreatic cancer., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)

Glypican-1 (GPC-1) protein-positive small extracellular vesicles (GPC-1 + -sEV) have been proposed as potential biomarkers for early diagnosis of pancreatic cancer. In this study, we present an integrated real-time isolation and detection platform (IRTIDP) to capture and analyze GPC-1 + -sEV directly from sera of pancreatic cancer patients. First, CD63 antibody-modified metal-organic framework (MOF) materials were utilized to enrich sEVs with a capture efficiency of 93.93 %. Second, a SERS probe was constructed by Raman reporter 4-MBA and GPC-1 antibody modified SERS active silver nanoparticles (AgNPs), which formed a sandwich complex structure of "MOFs@GPC-1 + -sEV@AgNPs-4-MBA" with MOFs-enriched sEVs. The IRTSDP can complete the capture and detection process within 35 min, with a detection limit for 1 GPC-1 + -sEV/μL, and linear range between 10 5 ∼10 9 GPC-1 + -sEV/mL. Furthermore, this approach has been applied to quantify serum sEV GPC-1 in clinical pancreatic cancer patients. Based on the SERS intensity analysis, pancreatic cancer patients can be distinguished from pancreatic cystadenoma patients and healthy individuals effectively using this innovative platform that provides highly specific and sensitive means for early diagnosis of pancreatic cancer as well as other tumor types., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Yongcan Guo reports article publishing charges and equipment, drugs, or supplies were provided by Sichuan Provincial Science and Technology Department. Yongcan Guo reports article publishing charges and equipment, drugs, or supplies were provided by Health Commission of Sichuan Province. Yongcan Guo reports article publishing charges and equipment, drugs, or supplies were provided by Sichuan Medical Association. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: The grim (<10% 5-year) survival rates for pancreatic ductal adenocarcinoma (PDAC) are attributed to its complex intrinsic biology and most often late-stage detection. The overlap of symptoms with benign gastrointestinal conditions in early stage further complicates timely detection. The suboptimal diagnostic performance of carbohydrate antigen (CA) 19-9 and elevation in benign hyperbilirubinaemia undermine its reliability, leaving a notable absence of accurate diagnostic biomarkers. Using a selected patient cohort with benign pancreatic and biliary tract conditions we aimed to develop a data analysis protocol leading to a biomarker signature capable of distinguishing patients with non-specific yet concerning clinical presentations, from those with PDAC., Methods: 539 patient serum samples collected under the Accelerated Diagnosis of neuro Endocrine and Pancreatic TumourS (ADEPTS) study (benign disease controls and PDACs) and the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS, healthy controls) were screened using the Olink Oncology II panel, supplemented with five in-house markers. 16 specialized base-learner classifiers were stacked to select and enhance biomarker performances and robustness in blinded samples. Each base-learner was constructed through cross-validation and recursive feature elimination in a discovery set comprising approximately two thirds of the ADEPTS and UKCTOCS samples and contrasted specific diagnosis with PDAC., Results: The signature which was developed using diagnosis-specific ensemble learning demonstrated predictive capabilities outperforming CA19-9, the only biomarker currently accepted by the FDA and the National Comprehensive Cancer Network guidelines for pancreatic cancer, and other individual biomarkers and combinations in both discovery and held-out validation sets. An AUC of 0.98 (95% CI 0.98-0.99) and sensitivity of 0.99 (95% CI 0.98-1) at 90% specificity was achieved with the ensemble method, which was significantly larger than the AUC of 0.79 (95% CI 0.66-0.91) and sensitivity 0.67 (95% CI 0.50-0.83), also at 90% specificity, for CA19-9, in the discovery set (p = 0.0016 and p = 0.00050, respectively). During ensemble signature validation in the held-out set, an AUC of 0.95 (95% CI 0.91-0.99), sensitivity 0.86 (95% CI 0.68-1), was attained compared to an AUC of 0.80 (95% CI 0.66-0.93), sensitivity 0.65 (95% CI 0.48-0.56) at 90% specificity for CA19-9 alone (p = 0.0082 and p = 0.024, respectively). When validated only on the benign disease controls and PDACs collected from ADEPTS, the diagnostic-specific signature achieved an AUC of 0.96 (95% CI 0.92-0.99), sensitivity 0.82 (95% CI 0.64-0.95) at 90% specificity, which was still significantly higher than the performance for CA19-9 taken as a single predictor, AUC of 0.79 (95% CI 0.64-0.93) and sensitivity of 0.18 (95% CI 0.03-0.69) (p = 0.013 and p = 0.0055, respectively)., Conclusion: Our ensemble modelling technique outperformed CA19-9, individual biomarkers and indices developed with prevailing algorithms in distinguishing patients with non-specific but concerning symptoms from those with PDAC, with implications for improving its early detection in individuals at risk., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: UM reports stock ownership in Abcodia UK between 2011 and 2021; UM has received grants from the Medical Research Council (MRC), Cancer Research UK, the National Institute for Health Research (NIHR), the India Alliance, NIHR Biomedical Research Centre at University College London Hospital, and The Eve Appeal; UM currently has research collaborations with iLOF, RNA Guardian and Micronoma, with funding paid to UCL; UM holds patent number EP10178345.4 for Breast Cancer Diagnostics; AG currently has research collaborations with Micronoma and iLoF, with the research funding awarded to UCL. The other authors have declared that no competing interests exist., (Copyright: © 2024 Ney et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Previous studies have identified the hemoglobin (Hb) to red blood cell distribution width (RDW) ratio (HRR) is associated with the prognosis of a variety of malignant tumors. However, the relationship between HRR and pancreatic ductal adenocarcinoma (PDAC) prognosis remains unexplored. This study aims to ascertain the prognostic significance of HRR in PDAC patients., Methods: In a retrospective analysis, 128 PDAC patients undergoing initial surgical resection at Ningbo Medical Center Lihuili Hospital between January 2016 and September 2021 were included. Based on receiver operating characteristic curve-derived cut-off values, participants were categorized into low and high HRR groups. The correlation between HRR and patient prognosis was subsequently examined., Results: Significant disparities in age, Hb levels, RDW, tumor locality, surgical intervention, and postoperative chemotherapy were observed between the two groups (P < 0.05). Notably, the low HRR cohort exhibited inferior disease-free survival (DFS) and overall survival (OS) rates (P = 0.002 for both). Univariate analysis indicated that male gender, adjacent tissue invasion, TNM stages III/IV, non-O blood types, low HRR, and lack of postoperative chemotherapy were linked to adverse DFS and OS outcomes (P < 0.05). Multivariate analysis further delineated low HRR as an independent predictor of poor DFS and OS outcomes (HR: 1.520, 95% CI: 1.028-2.247, P = 0.036; HR: 1.537, 95% CI: 1.034-2.284, P = 0.034, respectively)., Conclusion: Our findings suggest that a lower HRR is indicative of poorer DFS and OS in PDAC patients, underscoring its potential utility as a prognostic biomarker for this population., (© 2024. The Author(s).)

Background/objectives: Autoimmune pancreatitis (AIP) is a diagnosis-challenging disease that often mimics pancreatic malignancy. Pancreatic resection is considered to be a curative treatment for pancreatic ductal adenocarcinoma (PDAC). This meta-analysis aims to study the incidence of AIP in patients who have undergone pancreatic resection for clinical manifestation of cancer., Methods: A comprehensive search was conducted in three databases, PubMed, Embase and the Cochrane Library, using the terms 'autoimmune pancreatitis' and 'pancreatic resection' and supplemented by manual checks of reference lists in all retrieved articles., Results: Ten articles were included in the final analysis. 8917 pancreatic resections were performed because of a clinical suspicion of pancreatic cancer. AIP accounted for 140 cases (1.6%). Type 1 AIP comprised the majority of cases, representing 94% (132 cases), while type 2 AIP made up the remaining 6% (eight cases) after further classification. AIP accounted for almost 26% of all cases of benign diseases involving unnecessary surgery and was overrepresented in males in 70% of cases compared to 30% in females. The mean age for AIP patients was 59 years. Serum CA 19 - 9 levels were elevated in 23 out of 47 (49%) AIP patients, where higher levels were detected more frequently in patients with type 1 AIP (51%, 22 out of 43) than in those with type 2 AIP (25%, 1 out of 4). The sensitivity of IgG4 levels in type 1 AIP was low (43%, 21/49 patients)., Conclusion: Even with modern diagnostic methods, distinguishing between AIP and PDAC can still be challenging, thus potentially resulting in unnecessary surgical procedures in some cases. Serum CA 19 - 9 levels are not useful in distinguishing between AIP and PDAC. Work must thus be done to improve diagnostic methods and avoid unnecessary complicated surgery., (© 2024. The Author(s).)

The rapid and sensitive quantification of low-abundance protein markers holds immense significance in early disease diagnosis and treatment. Single-molecule fluorescence imaging exhibits very high detection sensitivity and thus has great application potential in this area. The single-molecule signal, however, is often susceptible to interference from background noise due to its inherently weak intensity. A variety of signal amplification techniques based on cascading reactions have been developed to improve the signal-to-noise ratio of single-molecule imaging. Nevertheless, the operation of these methods is typically complicated and time-consuming, which limits the clinical application. Herein, we introduce an enzyme-free, photonic-crystal-based single-molecule (PC-SM) biochip for cost-effective, time-efficient, and ultrasensitive detection of disease markers. The PC-SM biochip can enhance the signal-to-noise ratio of single molecules by nearly 3-fold compared with unamplified samples, through coupling of the single-molecule photon energy with the optical band gap of the photonic crystal. We used the PC-SM biochip to detect the low-abundance leukemia inhibitory factor in the blood of pancreatic cancer patients and healthy people and achieved a detection limit of 2.0 pg/L and an AUC of 0.9067. The method exhibits exceptional sensitivity and specificity, showing great application potential in various clinical settings.

Background: Cancer is a growing public health problem and cancer is linked to vitamin D via several mechanisms. Recent umbrella reviews on the extra-skeletal effects of vitamin D did not turn their attention to cancer. Accordingly, an overview of the current state of research is needed., Materials and Methods: An umbrella review was conducted to provide an overview of systematic reviews on the association between vitamin D and incidence or mortality of breast cancer, colorectal cancer, lung cancer, pancreatic cancer, and prostate cancer., Results: Inverse correlations were found between the vitamin D level (measured by circulating 25(OH)D) and mortality for all five types of cancer. For breast cancer, colorectal cancer, lung cancer, and pancreatic cancer, there are also hints of a lower incidence due to higher 25(OH)D levels., Conclusion: As most reviews include observational studies, conclusions on causality cannot be made. Methodological differences between the included reviews and different study designs in the individual studies lead to methodological problems. Despite these problems, the review shows inverse correlations between 25(OH)D levels and mortality, and mostly inverse correlations between 25(OH)D levels and incidence.

Background: Pancreatic cancer (PaCa) is one of the most intractable and fatal malignancies and is associated with the dysregulation of long noncoding RNAs (lncRNAs), which are a large class of noncoding RNAs larger than 200 nt that act as competing endogenous RNAs or sponges for miRNAs to induce tumour biological behaviours. However, their clinical value in treating pancreatic cancer has been poorly explained, but they are essential for improving the prognosis of PaCa patients., Methods: We analysed the plasma-derived exosomal lncRNA profiles of PaCa patients by using whole-transcriptome sequencing analysis and identified significantly differentially expressed lncRNAs, including LINC01268, LINC02802, AC124854.1, and AL132657.1. In the current study, the expression levels of four plasma-derived exosomal lncRNAs in PaCa plasma were validated via quantitative real-time polymerase chain reaction (qRT‒PCR). The relationship between the expression of the four lncRNAs and the clinicopathological features of patients with PaCa was also evaluated., Results: We demonstrated that exosomal LINC01268, LINC02802, AC124854.1 and AL132657.1 were highly expressed in PaCa plasma compared with those in normal controls; moreover, they were positively correlated with the serum expression of carbohydrate antigen 19-9 (CA19-9). The receiver operating characteristic curves (AUCs) of the four lncRNAs were 0.8421, 0.6544, 0.7190, and 0.6321, and the AUC value of the combination of the four exosomal lncRNAs increased to 0.8476, with a sensitivity of 0.72 and specificity of 0.89. These results suggested that the plasma-derived exosomal genes LINC01268, LINC02802, AC124854.1, and AL132657.1 may be novel diagnostic markers for PaCa., Conclusions: Our research demonstrated that the plasma-derived exosomal lncRNAs of PaCa patients are novel blood-based biomarkers of disease., (© 2024. The Author(s).)

Objective: MicroRNAs (miRNAs) are present in human serum in a stable form. Circulating miRNAs are increasingly recognized as promising biomarkers for early cancer detection. The aim of this study was to identify serum miRNAs as biomarkers for periampullary adenocarcinoma (PAC)., Patients and Methods: 68 patients with PAC and 50 healthy controls (HCs) subjects were recruited in this study. The expression levels of 11 selected miRNAs were determined in serum samples using the SYBR-green quantitative reverse transcription polymerase chain reaction (qRT-PCR) method. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic potential of serum miRNAs., Results: The expression levels of three miRNAs (miR-215-5p, miR-192-5p, and miR-378a-5p) were significantly upregulated in the serum samples derived from the PAC patients compared with those from the HC (p < 0.001). The ROC analysis showed that all three significantly altered miRNAs (miR-215-5p, miR-192-5p, and miR-378a-5p) could potentially discriminate patients with PAC from HC with AUC value of 0.771 (95% CI: 0.684-0.843), 0.877 (95% CI: 0.799-0.927) and 0.768 (95% CI: 0.674-0.853) respectively. Further comparisons showed that these three serum miRNAs (miR-215-5p, miR-192-5p, and miR-378a-5p) can strongly discriminate early-stage PAC patients from HC with an AUC value of 0.802 (95% CI: 0.719-0.886), 0.870 (95% CI: 0.793-0.974) and 0.793 (95% CI: 0.706-0.880) respectively, may aid in early detection of PAC., Conclusions: Taken together, our findings demonstrated that these three serum miRNAs (miR-215-5p, miR-192-5p, and miR-378a-5p) may serve as noninvasive biomarkers for the early detection of PAC., Competing Interests: Declaration of Competing Interest There is no conflict of interest, (Copyright © 2024 Elsevier GmbH. All rights reserved.)