An immune gene expression signature distinguishes central nervous system metastases from primary tumours in non-small-cell lung cancer.


Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
06 2020
Historique:
received: 19 01 2020
revised: 08 03 2020
accepted: 18 03 2020
pubmed: 24 4 2020
medline: 11 11 2020
entrez: 24 4 2020
Statut: ppublish

Résumé

Dissemination of non-small-cell lung cancer (NSCLC) in the central nervous system is a frequent and challenging clinical problem. Systemic or local therapies rarely prolong survival and have modest activity regarding local control. Alterations in gene expression in brain metastasis versus primary tumour may increase aggressiveness and impair therapeutic efforts. We identified 25 patients with surgically removed NSCLC brain metastases in two different patient cohorts. For 13 of these patients, primary tumour samples were available. Gene expression analysis using the nCounter® PanCancer Immune Profiling gene expression panel (nanoString technologies Inc.) was performed in brain metastases and primary tumour samples. Identification of differentially expressed genes was conducted on normalized data using the nSolver analysis software. We compared gene expression patterns in brain metastases with primary tumours. Brain metastasis samples displayed a distinct clustering pattern compared to primary tumour samples with a statistically significant downregulation of genes related to immune response and immune cell activation. Results from KEGG term analysis on differentially expressed genes revealed a concomitant enrichment of multiple KEGG terms associated with the immune system. We identified a 12-gene immune signature that clearly separated brain metastases from primary tumours. We identified a unique gene downregulation pattern in brain metastases compared with primary tumours. This finding may explain the lower intracranial efficacy of systemic therapy, especially immunotherapy, in brain metastasis of patients with NSCLC.

Sections du résumé

BACKGROUND
Dissemination of non-small-cell lung cancer (NSCLC) in the central nervous system is a frequent and challenging clinical problem. Systemic or local therapies rarely prolong survival and have modest activity regarding local control. Alterations in gene expression in brain metastasis versus primary tumour may increase aggressiveness and impair therapeutic efforts.
METHODS
We identified 25 patients with surgically removed NSCLC brain metastases in two different patient cohorts. For 13 of these patients, primary tumour samples were available. Gene expression analysis using the nCounter® PanCancer Immune Profiling gene expression panel (nanoString technologies Inc.) was performed in brain metastases and primary tumour samples. Identification of differentially expressed genes was conducted on normalized data using the nSolver analysis software.
RESULTS
We compared gene expression patterns in brain metastases with primary tumours. Brain metastasis samples displayed a distinct clustering pattern compared to primary tumour samples with a statistically significant downregulation of genes related to immune response and immune cell activation. Results from KEGG term analysis on differentially expressed genes revealed a concomitant enrichment of multiple KEGG terms associated with the immune system. We identified a 12-gene immune signature that clearly separated brain metastases from primary tumours.
CONCLUSIONS
We identified a unique gene downregulation pattern in brain metastases compared with primary tumours. This finding may explain the lower intracranial efficacy of systemic therapy, especially immunotherapy, in brain metastasis of patients with NSCLC.

Identifiants

pubmed: 32325417
pii: S0959-8049(20)30155-6
doi: 10.1016/j.ejca.2020.03.014
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-34

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest statement Nothing declared.

Auteurs

Georgios Tsakonas (G)

Thoracic Oncology Center, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden.

Rolf Lewensohn (R)

Thoracic Oncology Center, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden.

Johan Botling (J)

Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala Sweden.

Cristian Ortiz-Villalon (C)

Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden.

Patrick Micke (P)

Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala Sweden.

Signe Friesland (S)

Thoracic Oncology Center, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden.

Helena Nord (H)

Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Magnus Lindskog (M)

Department of Immunology, Genetics and Pathology, Uppsala University/Department of Oncology, Uppsala University Hospital, Sweden.

Martin Sandelin (M)

Department of Medical Sciences, Uppsala University/ Department of Oncology, Uppsala University Hospital, Sweden.

Per Hydbring (P)

Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden.

Simon Ekman (S)

Thoracic Oncology Center, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology and Pathology, Karolinska Institutet, Visionsgatan 4, 17164 Stockholm, Sweden. Electronic address: simon.ekman@ki.se.

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Classifications MeSH