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


Journal

Surgical oncology
ISSN: 1879-3320
Titre abrégé: Surg Oncol
Pays: Netherlands
ID NLM: 9208188

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 28 03 2019
revised: 30 01 2020
accepted: 30 03 2020
entrez: 6 9 2020
pubmed: 7 9 2020
medline: 9 7 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 32891353
pii: S0960-7404(19)30153-7
doi: 10.1016/j.suronc.2020.03.005
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
EGFR protein, human EC 2.7.10.1
ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

51-56

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Aymeric Amelot (A)

Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France. Electronic address: aymmed@hotmail.fr.

Louis-Marie Terrier (LM)

Department of Neurosurgery, Bretonneau Hospital, Tours, France.

Joseph Cristini (J)

Department of Neurosurgery/Neurotraumatology, Hotel-Dieu Hospital, Nantes, France.

Kévin Buffenoir (K)

Department of Neurosurgery/Neurotraumatology, Hotel-Dieu Hospital, Nantes, France.

Hugues Pascal-Moussellard (H)

Department of Orthopaedic Surgery, Pitié-Salpêtrière Hospital, Paris, France.

Alexandre Carpentier (A)

Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France.

Raphael Bonaccorsi (R)

Department of Orthopaedic Surgery, Pitié-Salpêtrière Hospital, Paris, France.

Louis-Romée Le Nail (LR)

Department of Orthopaedic Surgery, Trousseau Hospital, Tours, France.

Bertrand Mathon (B)

Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France.

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Classifications MeSH