The poor prognosis of pancreatic ductal adenocarcinoma (PDAC) is mainly attributed to late diagnosis. We assessed the predictive performance of our previously reported urine biomarker panel for earlier detection of PDAC (LYVE1, REG1B and TFF1) in prediagnostic samples, alone and in combination with plasma CA19-9. This nested case-control study included 99 PDAC cases with urine samples prospectively collected up to 5 years prior to PDAC diagnosis and 198 matched controls. The samples were obtained from the Shanghai Women's Health Study (SWHS), the Shanghai Men's Health Studies (SMHS) and the Southern Community Cohort Study (SCCS). The urine biomarkers were measured by ELISA. Plasma CA19-9 was quantified by Luminex. Multiple logistic regression and Wilcoxon rank-sum and Mann-Whitney test were used for analysis. The internal validation approach was applied and the validated AUC estimators are reported on. The algorithm of urinary protein panel, urine creatinine and age named PancRISK, displayed similar AUC as CA19-9 up to 1 year before PDAC diagnosis (AUC = 0.79); however, the combination enhanced the AUCs to 0.89, and showed good discriminative ability (AUC = 0.77) up to 2 years. The combination showed sensitivity (SN) of 72% at 90% specificity (SP), and SP of 59% at 90% SN up to 1 year and 60% SN with 80% SP and 53% SP with 80% SN up to 2 years before PDAC diagnosis. Adding the clinical information on BMI value resulted in the overall improvement in performance of the PancRISK score. When combined with CA19-9, the urinary panel reached a workable model for detecting PDAC cases up to 2 years prior to diagnosis.
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http://dx.doi.org/10.1002/ijc.34287 | DOI Listing |
Front Immunol
January 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Damage-associated molecular patterns (DAMPs) induced by immunogenic cell death (ICD) may be useful for the immunotherapy to patients undergoing pancreatic ductal adenocarcinoma (PDAC). The aim of this study is to predict the prognosis and immunotherapy responsiveness of PDAC patients using DAMPs-related genes.
Methods: K-means analysis was used to identify the DAMPs-related subtypes of 175 PDAC cases.
J Cancer Res Clin Oncol
January 2025
Department of Pathology, Theodor Bilharz Research Institute, Giza, 12411, Egypt.
Introduction: Pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis. The roles of the transcription factor special AT-rich binding protein-2 (SATB2) and β-catenin in PDAC have been a subject of controversy. We aimed to assess the diagnostic and prognostic impact of SATB2 and β-catenin in PDAC.
View Article and Find Full Text PDFEur J Surg Oncol
January 2025
Division of Surgical Oncology, Department of Surgery - University of Colorado Anschutz Medical Campus, Denver, USA.
Background: Pancreatectomy with venous resection (PVR) is nowadays considered standard. However, there is still concern about increased postoperative morbidity and impaired long-term outcome depending on the type of venous resection and reconstruction. The aim was to investigate the predictors of morbidity and long-term survival in patients undergoing PVR in a high-volume center.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Background: Patients with pancreatic ductal adenocarcinoma (PDAC) face a highly unfavorable outcome and have a poor response to standard treatments. Immunotherapy, especially therapy based on natural killer (NK) cells, presents a promising avenue for the treatment of PDAC.
Aims: This research endeavor seeks to formulate a predictive tool specifically designed for PDAC based on NK cell-related long non-coding RNA (lncRNA), revealing new molecular subtypes of PDAC to promote personalized and precision treatment.
J Nanobiotechnology
January 2025
Department of Ultrasound, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, China.
Early diagnosis of pancreatic ductal adenocarcinoma (PDAC) is challenging because of its depth, which often leads to misdiagnosis during ultrasound examinations. The unique PDAC tumor microenvironment (TME) is characterized by significant fibrous tissue growth, and high interstitial pressure hinders drug penetration into tumors. Additionally, hypoxia and immune suppression within the tumor contribute to poor responses to radiotherapy and chemotherapy, ultimately leading to an unfavorable prognosis.
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