ArticleFrontiers in oncology2022
Lymph node ratio is a superior predictor in surgically treated early-onset pancreatic cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Trial
- Clinicopathological differences and risk factors of early- versus late-onset pancreatic cancer: A systematic review and meta-analysis.iScience · 2026Article
- Prognostic impact of different lymph node staging systems in patients with esophageal squamous cell carcinoma.Surgical endoscopy · 2026Article
- The Impact of Radioactive Iodine on Disease-Specific Survival in Low-to-Intermediate Risk N1b Papillary Thyroid Carcinoma.Annals of surgical oncology · 2025Article
- Naples Prognostic Score: A Novel Predictor of Survival in Patients with Triple-Negative Breast Cancer.Journal of inflammation research · 2024Article
- Analysis of risk factors of hepatocellular carcinoma and establishment of a clinical prognosis model.Frontiers in oncology · 2023Article
- A 3 M Evaluation Protocol for Examining Lymph Nodes in Cancer Patients: Multi-Modal, Multi-Omics, Multi-Stage Approach.Technology in cancer research & treatmentReview
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8 authors at 1 institution in 1 country.
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Abstract
Background: The prognostic performance of four lymph node classifications, the 8th American Joint Committee on Cancer (AJCC) Tumor Node Metastasis (TNM) N stage, lymph node ratio (LNR), log odds of positive lymph nodes (LODDS), and examined lymph nodes (ELN) in early-onset pancreatic cancer (EOPC) remains unclear. Methods: The Surveillance, Epidemiology, and End Results (SEER) database was searched for patients with EOPC from 2004 to 2016. 1048 patients were randomly divided into training (n = 733) and validation sets (n = 315). The predictive abilities of the four lymph node staging systems were compared using the Akaike information criteria (AIC), receiver operating characteristic area under the curve (AUC), and C-index. Multivariate Cox analysis was performed to identify independent risk factors. A nomogram based on lymph node classification with the strongest predictive ability was established. The nomogram's precision was verified by the C-index, calibration curves, and AUC. Kaplan-Meier analysis and log-rank tests were used to compare differences in survival at each stage of the nomogram. Results: Compared with the 8th N stage, LODDS, and ELN, LNR had the highest C-index and AUC and the lowest AIC. Multivariate analysis showed that N stage, LODDS, LNR were independent risk factors associated with cancer specific survival (CSS), but not ELN. In the training set, the AUC values for the 1-, 3-, and 5-year CSS of the nomogram were 0.663, 0.728, and 0.760, respectively and similar results were observed in the validation set. In addition, Kaplan-Meier survival analysis showed that the nomogram was also an important factor in the risk stratification of EOPC. Conclusion: We analyzed the predictive power of the four lymph node staging systems and found that LNR had the strongest predictive ability. Furthermore, the novel nomogram prognostic staging mode based on LNR was also an important factor in the risk stratification of EOPC.
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