Cancers, Vol. 17, Pages 2040: Surgical Management of Oligometastatic Non-Small Cell Lung Cancer


Cancers, Vol. 17, Pages 2040: Surgical Management of Oligometastatic Non-Small Cell Lung Cancer

Cancers doi: 10.3390/cancers17122040

Authors:
Susana Fortich
Deniz Piyadeoglu
Nafiye Busra Celik
Mara Antonoff

Background: Oligometastatic non-small cell lung cancer (NSCLC) represents a biologically and clinically distinct state characterized by limited metastatic spread. Increasing evidence suggests that aggressive local therapies, including surgical resection, may confer a survival benefit in this population. The objective of this review is to evaluate the current role of surgery in the management of oligometastatic NSCLC, with emphasis on patient selection, surgical strategy, integration with systemic therapy, and ongoing clinical investigations. Methods: This narrative review synthesizes retrospective and prospective clinical data, meta-analyses, major consensus guidelines, and ongoing trials since 2012. We highlight prognostic factors, staging strategies, and the evolving role of molecular and biomarker-based stratification. Results: Multiple retrospective studies and several randomized trials have demonstrated improved progression-free and overall survival with local consolidative therapy in oligometastatic NSCLC. Prognostic factors associated with favorable outcomes include a limited number of metastases (≤3), good performance status, absence of mediastinal nodal disease, metachronous presentation, and actionable molecular alterations. The integration of surgery with systemic therapies, including targeted agents and immunotherapy, has become increasingly common in selected patients. Ongoing trials such as LONESTAR, NORTHSTAR, and BRIGHTSTAR are expected to further define the role of surgery in this setting. Conclusions: Surgery is emerging as a key component of multimodal treatment for carefully selected patients with oligometastatic NSCLC. Future efforts should focus on refining patient selection through molecular stratification and expanding prospective trial data to guide personalized biology-driven treatment strategies.



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Susana Fortich www.mdpi.com