Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma

Abstract Background The tumor immune microenvironment is a heterogeneous entity. Gene expression analysis allows us to perform comprehensive immunoprofiling and may assist in dissecting the different components of the immune infiltrate. As gene expression analysis also provides information regarding...

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Main Authors: W. S. M. E. Theelen, O. Krijgsman, K. Monkhorst, T. Kuilman, D. D. G. C. Peters, S. Cornelissen, M. A. Ligtenberg, S. M. Willems, J. L. G. Blaauwgeers, C. J. M. van Noesel, D. S. Peeper, M. M. van den Heuvel, K. Schulze
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12967-020-02436-3
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spelling doaj-debbea0e0b5047e685a2c5ef50af7bd02020-11-25T03:17:31ZengBMCJournal of Translational Medicine1479-58762020-07-0118111210.1186/s12967-020-02436-3Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinomaW. S. M. E. Theelen0O. Krijgsman1K. Monkhorst2T. Kuilman3D. D. G. C. Peters4S. Cornelissen5M. A. Ligtenberg6S. M. Willems7J. L. G. Blaauwgeers8C. J. M. van Noesel9D. S. Peeper10M. M. van den Heuvel11K. Schulze12Department of Thoracic Oncology, The Netherlands Cancer InstituteDivision of Molecular Oncology & Immunology, The Netherlands Cancer InstituteDivision of Pathology, The Netherlands Cancer InstituteDivision of Molecular Oncology & Immunology, The Netherlands Cancer InstituteCore Facility Molecular Pathology & Biobanking, Department of Molecular Pathology, The Netherlands Cancer InstituteCore Facility Molecular Pathology & Biobanking, Department of Molecular Pathology, The Netherlands Cancer InstituteDivision of Molecular Oncology & Immunology, The Netherlands Cancer InstituteDepartment of Pathology, University Medical Centre GroningenDepartment of Pathology, OLVG LAB BVDepartment of Pathology, Academic Medical CenterDivision of Molecular Oncology & Immunology, The Netherlands Cancer InstituteDepartment of Pulmonology, Radboud University Medical CenterOncology Biomarker Development, Genentech IncAbstract Background The tumor immune microenvironment is a heterogeneous entity. Gene expression analysis allows us to perform comprehensive immunoprofiling and may assist in dissecting the different components of the immune infiltrate. As gene expression analysis also provides information regarding tumor cells, differences in interactions between the immune system and specific tumor characteristics can also be explored. This study aims to gain further insights in the composition of the tumor immune infiltrate and to correlate these components to histology and overall survival in non-small cell lung cancer (NSCLC). Methods Archival tissues from 530 early stage, resected NSCLC patients with annotated tumor and patient characteristics were analyzed using the NanoString nCounter Analysis system. Results Unsupervised clustering of the samples was mainly driven by the overall level of inflammation, which was not correlated with survival in this patient set. Adenocarcinoma (AD) showed a significantly higher degree of immune infiltration compared to squamous cell carcinoma (SCC). A 34-gene signature, which did not correlate with the overall level of immune infiltration, was identified and showed an OS benefit in SCC. Strikingly, this benefit was not observed in AD. This difference in OS in SCC specifically was confirmed in two independent NSCLC cohorts. The highest correlation between expression of the 34-gene signature and specific immune cell populations was observed for NK cells, but although a plausible mechanism for NK cell intervention in tumor growth could be established in SCC over AD, this could not be translated back to immunohistochemistry, which showed that NK cell infiltration is scarce irrespective of histology. Conclusions These findings suggest that the ability of immune cell infiltration and the interaction between tumor and immune cells may be different between AD and SCC histology and that a subgroup of SCC tumors seems more susceptible to Natural Killer cell recognition and killing, whereas this may not occur in AD tumors. A highly sensitive technique like NanoString was able to detect this subgroup based on a 34-gene signature, but further research will be needed to assist in explaining the biological rationale of such low-level expression signatures.http://link.springer.com/article/10.1186/s12967-020-02436-3NSCLCGene expressionImmunoprofilingGene signature
collection DOAJ
language English
format Article
sources DOAJ
author W. S. M. E. Theelen
O. Krijgsman
K. Monkhorst
T. Kuilman
D. D. G. C. Peters
S. Cornelissen
M. A. Ligtenberg
S. M. Willems
J. L. G. Blaauwgeers
C. J. M. van Noesel
D. S. Peeper
M. M. van den Heuvel
K. Schulze
spellingShingle W. S. M. E. Theelen
O. Krijgsman
K. Monkhorst
T. Kuilman
D. D. G. C. Peters
S. Cornelissen
M. A. Ligtenberg
S. M. Willems
J. L. G. Blaauwgeers
C. J. M. van Noesel
D. S. Peeper
M. M. van den Heuvel
K. Schulze
Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
Journal of Translational Medicine
NSCLC
Gene expression
Immunoprofiling
Gene signature
author_facet W. S. M. E. Theelen
O. Krijgsman
K. Monkhorst
T. Kuilman
D. D. G. C. Peters
S. Cornelissen
M. A. Ligtenberg
S. M. Willems
J. L. G. Blaauwgeers
C. J. M. van Noesel
D. S. Peeper
M. M. van den Heuvel
K. Schulze
author_sort W. S. M. E. Theelen
title Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
title_short Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
title_full Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
title_fullStr Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
title_full_unstemmed Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
title_sort presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2020-07-01
description Abstract Background The tumor immune microenvironment is a heterogeneous entity. Gene expression analysis allows us to perform comprehensive immunoprofiling and may assist in dissecting the different components of the immune infiltrate. As gene expression analysis also provides information regarding tumor cells, differences in interactions between the immune system and specific tumor characteristics can also be explored. This study aims to gain further insights in the composition of the tumor immune infiltrate and to correlate these components to histology and overall survival in non-small cell lung cancer (NSCLC). Methods Archival tissues from 530 early stage, resected NSCLC patients with annotated tumor and patient characteristics were analyzed using the NanoString nCounter Analysis system. Results Unsupervised clustering of the samples was mainly driven by the overall level of inflammation, which was not correlated with survival in this patient set. Adenocarcinoma (AD) showed a significantly higher degree of immune infiltration compared to squamous cell carcinoma (SCC). A 34-gene signature, which did not correlate with the overall level of immune infiltration, was identified and showed an OS benefit in SCC. Strikingly, this benefit was not observed in AD. This difference in OS in SCC specifically was confirmed in two independent NSCLC cohorts. The highest correlation between expression of the 34-gene signature and specific immune cell populations was observed for NK cells, but although a plausible mechanism for NK cell intervention in tumor growth could be established in SCC over AD, this could not be translated back to immunohistochemistry, which showed that NK cell infiltration is scarce irrespective of histology. Conclusions These findings suggest that the ability of immune cell infiltration and the interaction between tumor and immune cells may be different between AD and SCC histology and that a subgroup of SCC tumors seems more susceptible to Natural Killer cell recognition and killing, whereas this may not occur in AD tumors. A highly sensitive technique like NanoString was able to detect this subgroup based on a 34-gene signature, but further research will be needed to assist in explaining the biological rationale of such low-level expression signatures.
topic NSCLC
Gene expression
Immunoprofiling
Gene signature
url http://link.springer.com/article/10.1186/s12967-020-02436-3
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