Prognostic value of the MDACC-NLR score in extensive-stage small-cell lung cancer treated with first-line chemoimmunotherapy.
Dan Li, Xiaolin Li, Ning Liu, Bo Wang, Hui Jin, Yan Liu, Jiayin Liu, Xue Zhang, Long Wang, Zhisong Fan, Li Feng, Jing Han, Jing Zuo, Yudong Wang
Abstract
Open AccessObjective: To evaluate the prognostic performance of six scoring systems in predicting outcomes of first-line chemo-immunotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC), aiming to guide individualized treatment. Methods: This single-center retrospective study included 197 ES-SCLC patients treated with first-line chemo-immunotherapy. Clinical and laboratory data were collected, including baseline characteristics, treatment responses, and survival outcomes. The prognostic impact of six scoring systems (RHM, MDACC, MDACC+NLR, MDA-ICI, LIPI, GRIm) was assessed using univariate and multivariate Cox regression analyses for progression-free survival (PFS) and overall survival (OS). Kaplan-Meier analysis was conducted for risk stratification. Results: By the last follow-up (October 15, 2024), the median follow-up was 12 months, with 113 deaths (57.3%). The objective response rate was 75.6%. ECOG ≥1, lung metastasis, and liver metastasis were independent predictors of poorer PFS and OS. Among the scoring systems, only MDACC+NLR effectively stratified patients: low-risk patients had significantly longer PFS and OS (both p = 0.02). MDACC alone did not distinguish PFS among risk groups (p = 0.17) but showed significant OS differences (p = 0.02). Other systems (RHM, MDA-ICI, LIPI, GRIm) lacked significant discriminatory ability for both PFS and OS (all p > 0.05). Conclusion: ECOG ≥1, lung metastasis, and liver metastasis are adverse prognostic factors for ES-SCLC patients receiving first-line chemo-immunotherapy. The MDACC+NLR scoring system provides superior predictive value for treatment outcomes and survival, supporting its potential utility for clinical risk stratification.