The aim of this study was to identify the immune- and locus-associated genes in pancreatic ductal adenocarcinoma and evaluate their value in prognosis. The pancreatic ductal adenocarcinoma stromal and immune scores were calculated with the estimation of stromal and immune cells in malignant tumor tissues using expression data algorithm. The authors screened the differentially expressed genes to generate immune- and stromal-related differentially expressed genes. Next, the authors conducted weighted correlation network analysis to find the gene sets related to tumor sites. and were identified as the site- and immune-related genes in pancreatic ductal adenocarcinoma, and their high expression in pancreatic head cancer exhibited high immune scores and predicted unfavorable prognosis. The authors identified and as immune- and locus-associated genes, and their high expression predicted a poor prognosis.
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http://dx.doi.org/10.2217/fon-2020-1012 | DOI Listing |
BMC Cancer
January 2025
Department of Medical Oncology, Cancer Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with limited treatment options yielding poor outcomes. This study aimed to evaluate the real-world clinical characteristics, treatment patterns, and outcomes of patients with locally advanced unresectable and de-novo metastatic PDAC in Saudi Arabia, providing regional data to compare with international benchmarks.
Methods: This is a retrospective, multicentre study involving 350 patients diagnosed with unresectable locally advanced or de-novo metastatic PDAC between January 2015 and November 2023.
Eur J Radiol
December 2024
Department of General Surgery, Peking University Third Hospital, Beijing, China. Electronic address:
Purpose: To investigate whether multiparametric quantitative diffusion weighted magnetic resonance imaging (DWI) can effectively predict the neoadjuvant therapy (NAT) response in borderline resectable pancreatic ductal adenocarcinoma (BRPC).
Methods: The clinicopathological data, including tumor size, location, and CA19-9 values, as well as DWI parameters(ADC, D, and f values) from 72 patients with BRPC, were analyzed. The differences and changes in these factors before and after NAT were compared to identify those most accurately reflect the response to NAT.
Transl Oncol
January 2025
State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address:
Metabolic reprogramming is a hallmark of cancer. The"Warburg effect", also known as aerobic glycolysis, is an essential part of metabolic reprogramming and a central contributor to cancer progression. Moreover, hypoxia is one of the significant features of pancreatic ductal adenocarcinoma (PDAC).
View Article and Find Full Text PDFNat Genet
January 2025
Departments of Statistics and Human Genetics, University of Chicago, Chicago, IL, USA.
Profiling tumors with single-cell RNA sequencing has the potential to identify recurrent patterns of transcription variation related to cancer progression, and to produce therapeutically relevant insights. However, strong intertumor heterogeneity can obscure more subtle patterns that are shared across tumors. Here we introduce a statistical method, generalized binary covariance decomposition (GBCD), to address this problem.
View Article and Find Full Text PDFAs one of the most destructive and invasive cancers, pancreatic cancer exhibits complex tumor heterogeneity, which has been a major challenge for clinicians in terms of patient treatment and prognosis. The toll-like receptor (TLR) pathway is closely related to the immune microenvironment within various cancer tissues. To explore the development pattern of pancreatic cancer and find an ideal biomarker, our research has explored the mechanism of the TLR pathway in pancreatic cancer.
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