ArticleJournal of inflammation research2024
Prognostic Nutritional Index Predicts Efficacy and Immune-Related Adverse Events of First-Line Chemoimmunotherapy in Patients with Extensive-Stage Small-Cell Lung Cancer.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Peripheral blood cell counts as predictors of immune-related adverse events in cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Serum albumin is associated with immune-related hypothyroidism and treatment continuity in non-small cell lung cancer.International journal of clinical oncology · 2026Article
- Article
- Baseline PD-L1 expression on circulating immune cells as a predictor of survival and immune-related adverse events in extensive-stage small-cell lung cancer patients treated with durvalumab and carboplatin-etoposide (NCT04712903 Trial).Journal of translational medicine · 2026Observational
- Retrospective study on the tolerability using a four-cycle completion in elderly patients with extensive-stage small-cell lung cancer: a body mass index-based analysis.Translational lung cancer research · 2026Article
- Correlation between prognostic nutritional index and oral mucositis in patients with lung adenocarcinoma treated with almonertinib: a multicenter prospective study.Frontiers in nutrition · 2026Article
- A Novel Prognostic Model Based on Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Cancer Patients Treated with Immune Checkpoint Inhibitors.Cancer management and research · 2026Article
- Spleen volume change as a prognostic and immunologic imaging biomarker in extensive-stage small-cell lung cancer receiving chemo-immunotherapy.Therapeutic advances in medical oncology · 2026Article
- Development and validation of a serum inflammatory biomarker-driven machine-learning model for prognostic stratification in surgical limited-stage small cell lung cancer.Translational lung cancer research · 2025Article
- Development and validation of a preoperative CT-based body composition nomogram for predicting recurrence-free survival after radical surgery in patients with gastric cancer.Journal of gastrointestinal oncology · 2025Article
- Real-World Analysis of Treatment Patterns in Limited-Stage Small Cell Lung Cancer: Implications for Clinical Practice.Thoracic cancer · 2025Article
- Prognostic nutritional index and 28-day mortality in elderly septic patients: A retrospective analysis based on the MIMIC database.Northern clinics of Istanbul · 2025Article
- A Prognostic Nutritional Index-Based Nomogram to Predict Breast Cancer Metastasis: A Retrospective Cohort Validation.Breast cancer (Dove Medical Press) · 2025Article
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6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Currently, there is a lack of well-established markers to predict the efficacy of chemoimmunotherapy in small-cell lung cancer (SCLC). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI) and prognostic nutritional index (PNI) are associated with prognosis in several tumors, whereas their predictive role in SCLC remains unclear. Methods: A retrospective study was conducted at Sun Yat-sen University Cancer Center, involving extensive-stage SCLC (ES-SCLC) patients who received first-line chemoimmunotherapy between January 2020 and December 2021. Peripheral blood biomarkers were extracted from medical records and their correlation with prognosis and immune-related adverse events (IRAEs) was analyzed. Results: A total of 114 patients were included. Patients with a low PLR, high ALI and high PNI had prolonged progression-free survival (PFS) compared to those with a high PLR, low ALI and low PNI. Patients with a low NLR, low PLR, high ALI and high PNI had prolonged overall survival (OS) compared to those with a high NLR, high PLR, low ALI and low PNI. Cox regression model showed that PNI was an independent risk factor for both PFS and OS. ROC curve showed that PNI outperforms NLR, PLR and ALI in predicting both PFS and OS. The PNI-based nomogram demonstrated strong predictive capability for both PFS and OS. In addition, there was a significant correlation between PNI and IRAEs. Conclusion: A high baseline PNI might be associated with improved prognosis and the occurrence of IRAEs in ES-SCLC patients treated with first-line chemoimmunotherapy.
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