Aug 2026· Frontiers in Oncology· Vol 16· 0 citations· 40 references
Medicine
TL;DR
TRT benefit was risk-dependent, improving OS in low-risk but not high-risk patients, and showed good 1- and 2-year OS discrimination, calibration, and clinical utility.
Abstract
Background Survival benefit of thoracic radiotherapy (TRT) in patients with stage IV non-small cell lung cancer (NSCLC) receiving first-line chemo-immunotherapy remains uncertain. This study developed and validated an overall survival (OS) prediction model and assessed whether TRT benefit varied across risk strata. Methods Patients with stage IV NSCLC treated with first-line chemo-immunotherapy were enrolled. A nomogram was developed using baseline clinical variables to calculate individual risk scores. Patients were classified into high- and low-risk groups according to the median nomogram-derived score. OS was compared between ICI and ICI+TRT groups in the overall cohort and risk subgroups. Treatment-by-risk interaction, 1:1 propensity score matching (PSM), treatment response, TRT pattern, BED10, and metastatic burden subgroup analyses, and safety assessments were performed. Results Among 514 patients, 284 without TRT were assigned to training and internal validation cohorts at a 7:3 ratio, and 84 non-TRT patients formed an external validation cohort. ECOG performance status, alkaline phosphatase, total protein, platelet-to-lymphocyte ratio, and systemic immune-inflammation index were selected as optimal prognostic factors. The nomogram showed good 1- and 2-year OS discrimination, calibration, and clinical utility. Using a median risk score of 103.1, TRT improved OS only in low-risk patients (HR 0.456, 95% CI 0.285–0.730; P = 0.0011), not high-risk patients (HR 0.914, 95% CI 0.556–1.503; P = 0.7239), with consistent findings after PSM. Treatment-by-risk interaction was significant (P = 0.0309). Grade 1–2 pneumonitis was higher with ICI+TRT than ICI alone (28.8% vs. 10.3%; P < 0.001), without significant differences in severe pneumonitis or immune-related adverse events. Conclusion TRT benefit was risk-dependent, improving OS in low-risk but not high-risk patients.
Background/Objectives: Immune checkpoint inhibitors have become a standard treatment option for advanced/metastatic non-small cell lung cancer (NSCLC); however, considerable heterogeneity exists among patients regarding treatment response and survival. This study aimed to determine whether the pretreatment modified Gla...
Sedat Biter, Mehmet Mutlu Kıdı, Yasemin Aydınalp Camadan et al.· Journal of Clinical Medicine· 0 citations
Introduction Female sex is a well-established prognostic factor in non-small cell lung cancer (NSCLC). Most prior studies are restricted to single-treatment cohorts and seldom include best supportive care (BSC), limiting the evaluation of sex-based median overall survival across the full treatment spectrum, BSC include...
G. V. D. van den Heuvel, B. Mandos, Hans J. M. Smit et al.· Frontiers in Oncology· 0 citations
BACKGROUND
Composite scores such as Lung Immune Prognostic Index (LIPI), modified Glasgow Prognostic Score (mGPS), EPSILoN, Pan Immune-Inflammation Value (PIV) and Systemic Immune-Inflammation Index (SII) have shown prognostic value in solid tumors, but evidence in extensive-stage small-cell lung cancer (ES-SCLC) are l...
Teresa Beninato, Giulia Stasi, G. Montelatici et al.· Tumori· 0 citations
BACKGROUND
Prognostic impact of primary tumor location in stage III non-small cell lung cancer (NSCLC) remains unclear in the era of concurrent chemoradiotherapy (CCRT) followed by consolidation durvalumab. Whether a lower lobe origin continues to influence survival and recurrence patterns under standardized multimodal...
Chikashi Iwasaki, E. Miyauchi, Takaya Yamamoto et al.· Cancer Treatment and Researc...· 0 citations
OBJECTIVE
Chemotherapy improves survival in patients with lung cancer. However, the prognostic associations linked to chemotherapy remain unclear in elderly patients with stage IV small-cell lung cancer (SCLC) and brain metastases. This retrospective study was performed to explore the prognostic associations of differe...
Wen-Bo Zhang, Jian-Wei Gu, Xiao-Jun Xiang et al.· Cancer Treatment and Researc...· 0 citations
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