4.4 Article

Spinal metastases from lung cancer: Survival depends only on genotype, neurological and personal status, scarcely of surgical resection

Journal

SURGICAL ONCOLOGY-OXFORD
Volume 34, Issue -, Pages 51-56

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.suronc.2020.03.005

Keywords

Lung cancer; Overall survival; EGFR plus; Personal status; Spine metastases

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Background: For patients with non-small cell lung cancer (NSCLC), the spinal column is the most common site for bone metastasis. Studies that assess survival prognostic factors associated with specific lung spinal metastases (SpM) are weak and required the incorporation of genotype mutations. Methods: A prospective French national multicenter database of patients treated for SpM between January 2014 and 2017.818 lung SpM were diagnosed over the course or at the time of diagnosis of 210 consecutive patients with NSCLC. Results: Median overall survival (OS) time for all patients from the lung SpM event was 5.9 months (SD 0.609). For 122 patients (61%), lung tumor and SpM were diagnosed synchronously. In univariate analysis, good World Health Organisation (WHO) status (p < 0.0001), ambulatory status (Frankel score) (p < 0.0001), the absence of spine epiduritis (p < 0.0001), immunotherapy after SpM diagnosis (p < 0.0001), ALK gene rearrangement (p < 0.0001) and EGFR mutation (p < 0.0001) were associated with longer survival, whereas spine surgery showed no association (0.141). Cox multivariate proportional hazard model identified that EGFR + status (HR: 0.339, 95% CI 0.166-0.693; p = 0.003), good WHO status (p < 0.0001) and good neurological status (Frankel E; p < 0.001 and D; p = 0.018) were associated with higher median OS. Whereas the other factors, including ALK + status, epiduritis and immunotherapy were not independent prognostic factors of survival. Conclusion: Survival in SpM must be prognosticated from general health performance status: clinical (WHO) and neurological (Frankel) as well as the EGFR mutation status. Immunotherapy, surgery and epiduritis have not demonstrated prognostic value. Therefore, surgical prognostic scoring algorithms should incorporate genotype subtypes in NSCLC cancers to adapt surgical treatment.

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