Optimal Treatment Strategies for Pulmonary Large Cell Neuroendocrine Carcinoma Based on Molecular Subtypes
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is an uncommon and aggressive tumor for which the most effective systemic therapy remains uncertain. In metastatic LCNEC, chemotherapy approaches typically alternate between small-cell lung cancer (SCLC)-like and non-small-cell lung cancer (NSCLC)-like regimens. Emerging data indicate that treatment selection may be optimized through molecular subtype classification. This study aimed to evaluate the outcomes of SCLC-like and NSCLC-like chemotherapy (CT) regimens in relation to LCNEC molecular subtypes. Methods: This retrospective analysis included all patients diagnosed with LCNEC at Gaziantep University between January 2010 and October 2024. Individuals with available tumor tissue and complete clinical data were enrolled. LCNEC cases were categorized as SCLC-subtype or NSCLC-subtype according to the presence of TP53 and RB1 alterations. Platinum combined with etoposide, irinotecan, or topotecan was defined as SCLC-like CT, whereas platinum with taxanes or gemcitabine was considered NSCLC-like CT. Survival outcomes of both treatment types were compared across molecular subgroups using the Kaplan–Meier method. Results: Sixty-one patients met the inclusion criteria. The median overall survival (mOS) was 11.0 months (95% CI: 6.3–15.7). No significant difference in mOS was observed between SCLC-like and NSCLC-like regimens in the total cohort. When stratified by molecular subtype, patients with the SCLC subtype who received SCLC-like CT showed a longer mOS compared to those treated with NSCLC-like CT (15 [9.9–20.1] vs. 6 [3.9–8.1] months, respectively; p = 0.47), although this difference did not reach statistical significance. Conclusions: These findings suggest that molecular subclassification may help inform the choice of optimal systemic therapy in patients with LCNEC.
Source: Journal of Clinical Medicine
DOI: 10.3390/jcm15020619
Authors: Hakan Yücel, Tülay Kuş, Sibel Cangi, Gökmen Aktaş
Institution: Gaziantep University
Language: English
Topic: Lung Cancer Research Studies
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7123357486