2,850
Views
24
CrossRef citations to date
0
Altmetric
Research Article

Inflammation and lymphocyte infiltration are associated with shorter survival in patients with high-grade glioma

, , , , , , ORCID Icon, & show all
Article: 1779990 | Received 03 Dec 2019, Accepted 03 Jun 2020, Published online: 21 Jun 2020
 

ABSTRACT

Glioma represents a serious health burden in terms of morbidity and mortality. The prognostic significance of the lymphoid and myeloid infiltrates in glioma is not clearly determined. Moreover, the characterization of different leukocyte subsets in the tumor microenvironment relies mainly on immunohistochemistry observations, and data about their association with prognosis are contradictory. Here, we performed acomprehensive study of both the tumor-infiltrating and circulating immune compartments of patients with high-grade glioma. Nineteen tumor biopsies and 30 PBMC samples were analyzed by RNA sequencing. Validation was performed on The Cancer Genome Atlas (TCGA) RNA sequencing data from glioma and on additional 39 tumor biopsies analyzed by flow cytometry. We identified prognostic tumor and peripheral immune signatures, which associate increased inflammation, immune infiltration and activation with shorter overall survival in high-grade glioma patients. Importantly, we confirmed our observations by flow cytometry analysis and validated the tumor-signature using the TCGA dataset. In addition, both tumor genotype and grade associated with the degree of glioma immune infiltration. Unlike in the majority of cancers, lymphocyte infiltration at the tumor site is anegative prognostic factor in glioma, suggesting the ambivalent pro-tumorigenic role of immune responses in glioma.

Authorship

Conception and design of the project: EM, MA, VD, PYD; analysis and interpretation of the data: EM, MA, PT, VD, PYD; generation and acquisition of data: EM, MA, VW, RG, GP; writing of the manuscript: EM, MA, VW, RG, GP, VD, PYD; revision of the manuscript: EM, MA, VW, RG, GP, DM, PT, VD, PYD.

Acknowledgments

We thank the core genomic facility of the University of Geneva (iGE3 platform support from Mylène Docquier, Didier Chollet and Natacha Civic) for advice and assistance and Carole Verdan for technical help. We thank Paul Walker and Erika Cosset for helpful comments and discussions

Disclosure of interest

The authors report no conflict of interest

Supplementary

Supplemental data for this article can be accessed on the publisher’s website.

Additional information

Funding

This work was supported by Swiss National Science Foundation (Grant PMPDP3_164482 to E.M.), Fondation Privée des Hôpitaux Universitaires de Genève, Fondation Lionel Perrier, Association Marietta, Association Frédéric Fellay and Fond’action (to P.Y.D.). The work of P.T. is funded by the “Ligue Genevoise contre le Cancer.”FNS [PMPDP3_164482].