AI Article Synopsis
- - The study focuses on pancreatic neuroendocrine neoplasms (PanNET), which are becoming increasingly common and have unpredictable outcomes, and looks into using microRNAs (miRNAs) as potential markers to differentiate between grade 1 (G1) and grade 2 (G2) tumors.
- - Researchers analyzed 33 tumor samples (17 G1 and 16 G2) and found that specific miRNAs were significantly less active in G2 tumors, confirming their potential role in diagnosis via advanced sequencing and real-time PCR methods.
- - Using machine learning, the study identified a combination of miRNAs that effectively differentiated between G1 and G2 PanNETs, achieving an 83.33% sensitivity and 87.5
Article Abstract
Pancreatic neuroendocrine neoplasms pose a growing clinical challenge due to their rising incidence and variable prognosis. The current study aims to investigate microRNAs (miRNA; miR) as potential biomarkers for distinguishing between grade 1 (G1) and grade 2 (G2) pancreatic neuroendocrine tumors (PanNET). A total of 33 formalin-fixed, paraffin-embedded samples were analyzed, comprising 17 G1 and 16 G2 tumors. Initially, literature-based miRNAs were validated via real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR), confirming significant downregulation of and in G2 samples. Through next-generation sequencing, we have identified and selected the top six miRNAs showing the highest difference between G1 and G2 tumors, which were further validated. RT-qPCR validation confirmed the downregulation of in G2 tumors. miRNA combinations were created to distinguish between the two PanNET grades. The highest diagnostic performance in distinguishing between G1 and G2 PanNETs by a machine learning algorithm was achieved when using the combination . The ROC analysis resulted in a sensitivity of 83.33% and a specificity of 87.5%. The findings underscore the potential use of miRNAs as biomarkers for stratifying PanNET grades, though further research is warranted to enhance diagnostic accuracy and clinical utility.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11275009 | PMC |
| http://dx.doi.org/10.3390/cancers16142528 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Case report: Resolution of VIPoma-related symptoms with peptide receptor radionuclide therapy.
Front Oncol
January 2025
Department of Nuclear Medicine, Mount Sinai Hospital at Icahn School of Medicine, New York, NY, United States.
Peptide receptor radionuclide therapy (PRRT) is used for the management of neuroendocrine tumors (NETs) not responsive to somatostatin analogs. In this case series, we report two patients with pancreatic vasoactive intestinal peptide (VIP)-secreting NETs (VIPomas) not responsive to any other therapies who achieved symptomatic control and a significant decrease in serum VIP levels with PRRT during their hospital stay. Two patients with VIPomas were admitted to the hospital with multiple prior hospital admissions after going through multiple lines of therapy.
View Article and Find Full Text PDFNON-FUNCTIONING SPORADIC PANCREATIC NEUROENDOCRINE TUMOR IS AN INDEPENDENT RISK FACTOR FOR RECURRENCE AFTER SURGICAL TREATMENT.
Arq Bras Cir Dig
January 2025
Universidade de São Paulo, Faculty of Medicine - São Paulo (SP), Brazil.
Background: Pancreatic neuroendocrine tumors (PNETs) are uncommon and heterogeneous neoplasms, often exhibiting indolent biological behavior. Their incidence is rising, largely due to the widespread use of high-resolution imaging techniques, particularly influencing the diagnosis of sporadic non-functioning tumors, which account for up to 80% of cases. While surgical resection remains the only curative option, the impact of factors such as tumor grade, size, and type on prognosis and recurrence is still unclear.
View Article and Find Full Text PDFDifferentiation of intrapancreatic accessory spleen from pancreatic neuroendocrine tumor using MRI R2.
Abdom Radiol (NY)
January 2025
Severance Hospital, Seoul, Republic of Korea.
Purpose: To evaluate the performance of R2* in distinguishing intrapancreatic accessory spleens (IPASs) from pancreatic neuroendocrine tumors (PNETs).
Methods: Two radiologists (R1 and R2) retrospectively reviewed the MRIs of 20 IPAS and 20 PNET patients. IPASs were diagnosed with uptake on 99mTc labeled heat-damaged red blood cell scintigraphy or characteristic findings on CT/MRI and ≥ 12 month-long-stability.
Objectives: Combining Computed Tomography (CT) intuitive anatomical features with Three-Dimensional (3D) CT multimodal radiomic imaging features to construct a model for assessing the aggressiveness of pancreatic neuroendocrine tumors (pNETs) prior to surgery.
Methods: This study involved 242 patients, randomly assigned to training (170) and validation (72) cohorts. Preoperative CT and 3D CT radiomic features were used to develop a model predicting pNETs aggressiveness.
Introduction: Indoleamine-2,3-dioxygenase (IDO) converts L-tryptophan (T) to L-kynurenine (K) resulting in an immunosuppressive microenvironment. Aim of the current study is to evaluate in patients with neuroendocrine tumor (NET): 1) T and K concentrations; 2) correlation with clinical outcome; 3) relationship between IDO activity and inflammatory cytokines.
Methods: A cross-sectional study was performed to investigate the IDO pathway in patients in follow-up for NET.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!