AI Article Synopsis

  • The study investigates the impact of examined lymph nodes (ELN) on staging and survival in pancreatic ductal adenocarcinoma (PDAC).
  • Analyzing data from 341 patients who underwent surgery, they found that examining at least 21 lymph nodes is crucial to accurately determine lymph node involvement.
  • Failing to examine 21 or more lymph nodes may lead to misclassification, negatively affecting survival predictions for patients with PDAC.

Article Abstract

Background: The minimum number of examined lymph nodes (ELN) required for adequate staging and best prediction of survival has not been established in pancreatic ductal adenocarcinoma (PDAC). The aim of the study was to investigate the influence of ELN on staging and survival in PDAC.

Methods: Patients undergoing partial or total pancreatectomy for PDAC at two European university hospitals between 2007 and 2018 were retrospectively reviewed. Multivariate Cox regression model and survival analyses were performed to verify adequate staging.

Results: Overall 341 (73 per cent) patients showed lymph node metastasis (N1/N2), whereas 125 (27 per cent) patients had no lymph node involvement (N0). With increasing number of ELN, the proportion of positive lymph nodes increased. The minimum number of ELN needed to detect lymph node involvement was 21. In multivariate analysis, examination of <21 lymph nodes was a significant negative predictor for survival. Examination of ≥21 ELN reversed this effect and ruled out possible misclassification.

Conclusion: The number of ELN affects survival in PDAC. Possible misclassification was identified when <21 lymph nodes were examined. Therefore, at least 21 lymph nodes must be examined to avoid false lymph node classification in all types of resection.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10810280PMC
http://dx.doi.org/10.1093/bjsopen/zrad125DOI Listing

Publication Analysis

Top Keywords

lymph node
16
pancreatic ductal
8
ductal adenocarcinoma
8
minimum number
8
lymph nodes
8
cent patients
8
patients lymph
8
node involvement
8
number eln
8
lymph
6

Similar Publications

Mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN) of the colon is rare with a poor prognosis. Since the first description of a mixed neoplasm 100 years ago, the nomenclature has evolved, most recently with the 2022 World Health Organization (WHO) classification system. We describe our experience of a case of locoregionally advanced MiNEN of the descending colon treated with curative laparoscopic resection and adjuvant chemotherapy.

View Article and Find Full Text PDF
Article Synopsis
  • Sarcoid-like reaction (SLR) is an immune response affecting lymph nodes and organs, which doesn't fulfill the criteria for systemic sarcoidosis, and can be associated with certain diseases like Chronic lymphocytic leukaemia (CLL) and Amyotrophic lateral sclerosis (ALS).
  • A 60-year-old male patient with treated CLL developed ALS symptoms following exposure to Venetoclax and Rituximab, presenting with rashes and weakness that progressed over a year.
  • Diagnosis complications included atypical signs and symptoms, leading to misdiagnosis of neurosarcoidosis and challenges in treatment, despite initial interventions with prednisolone and infliximab.
View Article and Find Full Text PDF

Comprehensive analysis pinpoints CCNA2 as a prognostic and immunological biomarker in non-small cell lung cancer.

BMC Pulm Med

January 2025

Medical Research Center, Affiliated Hospital of Jining Medical University, Jining Medical University, 89 Guhuai Road, Jining, Shandong Province, 272029, PR China.

Background: Lung cancer is a leading cause of morbidity and mortality globally. Despite advances in targeted and immunotherapies, overall survival (OS) rates remain suboptimal. Cyclin-A2 (CCNA2), known for its upregulation in various tumors and role in tumorigenesis, has an undefined function in non-small cell lung cancer (NSCLC).

View Article and Find Full Text PDF

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!