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Levels of serum lipids predict responses to PD-L1 inhibitors as first-line treatment in small cell lung cancer: an observational study.
- Source :
- International Journal of Clinical Pharmacy; Dec2024, Vol. 46 Issue 6, p1464-1471, 8p
- Publication Year :
- 2024
-
Abstract
- Background: Immunotherapy provides new hope to individuals with small cell lung cancer (SCLC). Predicting biomarkers for clinical effects is crucial for SCLC patients receiving programed death-ligand 1 (PD-L1) inhibitor treatment. Aim: The aim of this study was to clarify the value of serum lipids as predictors of immune related adverse events (irAEs) and the anti-tumour effects in SCLC patients who received PD-L1 inhibitors as first-line treatment. Method: This study included patients with SCLC who received at least one cycle of PD-L1inhibitors at Shanghai Pulmonary Hospital from August 2020 to December 2023. We collected the clinical data of the SCLC patients, including basic information and serum lipid levels, before immunotherapy. Results: The irAEs rate was 16.1% of 124 enrolled patients. In multivariate analysis, the triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) ratio was an independent predictor of irAEs (p = 0.045). Tumour response analysis indicated that the objective response rate (ORR) was 43.4% and the disease control rate (DCR) was 79.5%. Seventy-seven patients experienced any progression-free survival (PFS) event. The median PFS was longer in the HDL-C-high group (10.03 months) than in the HDL-C-low group (6.67 months) (p = 0.043). In Cox regression analysis, the serum HDL-C level was an independent predictor of PFS (p = 0.002). For patients of the high TG/HDL-C ratio, the ORR significantly differed between patients who suffered from any irAEs and those who did not (p = 0.0139). Conclusion: This study found that serum lipid levels might predict the responses to anti-PD-L1 as first-line treatment for SCLC. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22107703
- Volume :
- 46
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- International Journal of Clinical Pharmacy
- Publication Type :
- Academic Journal
- Accession number :
- 180989305
- Full Text :
- https://doi.org/10.1007/s11096-024-01792-0