ArticleClinical Medicine Insights. Oncology2022
Combination of Baseline and Variation of Prognostic Nutritional Index Enhances the Survival Predictive Value of Patients With Advanced Non-Small Cell Lung Cancer Treated With Programmed Cell Death Protein 1 Inhibitor.
Article in Clinical Medicine Insights. Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Predictive value of nutritional biomarkers for immune checkpoint inhibitor efficacy in patients with non-small cell lung cancer.Frontiers in nutrition · 2026Article
- Machine Learning-Driven PCDI Classifier for Invasive PitNETs.Current gene therapy · 2026Article
- Relationship between preoperative body mass index and overall mortality in patients who have undergone lobectomy for lung cancer.World journal of surgical oncology · 2025Article
- The association of immune-inflammation indices at multiple time points with treatment response and survival in advanced non-small cell lung cancer patients receiving immune checkpoint inhibitors.World journal of surgical oncology · 2025Article
- Soluble biomarkers to predict clinical outcomes in non-small cell lung cancer treated by immune checkpoints inhibitors.Frontiers in immunology · 2023Review
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Low baseline prognostic nutritional index (PNI) scores are associated with poor survival for various malignancies; however, they vary based on the cohort and time resulting in inaccurate results. We determined the predictive value of the PNI score variations in addition to the baseline PNI scores for patients with advanced non-small cell lung cancer (NSCLC) who received programmed cell death protein 1 (PD-1) inhibitor. Methods: We retrospectively analysed 115 patients with advanced NSCLC who received PD-1 inhibitor. The median follow-up period was 28 months. Patients were clustered into four groups based on the combined PNI scores (combination of baseline and variation of PNI scores): ΔPNI-L-L, ΔPNI-L-H, ΔPNI-H-L, and ΔPNI-H-H subgroups. For instance, if PNI scores of patients with high baseline PNI score increased from baseline to 6 weeks after treatment, they were included in the ΔPNI-H-H subgroup. Cox regression models were used to identify the factors associated with survival. Results: The baseline PNI score was only related to the overall survival (OS) ( Conclusions: Patients with high baseline PNI and increased PNI score had the better survival outcome. On dynamic monitoring and comprehensive assessment, the combined PNI scores significantly enhanced the survival predictive ability of patients with NSCLC treated with PD-1 inhibitor.
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