TY - JOUR
T1 - Patient-based multilevel transcriptome exploration highlights relevant chemokines and chemokine receptor axes in glioblastoma
AU - D'Uonnolo, Giulia
AU - Isci, Damla
AU - Nosirov, Bakhtiyor
AU - Kuppens, Amandine
AU - Wantz, May
AU - Nazarov, Petr V.
AU - Golebiewska, Anna
AU - Rogister, Bernard
AU - Chevigné, Andy
AU - Neirinckx, Virginie
AU - Szpakowska, Martyna
N1 - Funding
This work was supported by the University of Liege, the Luxembourg Institute of Health (LIH), the Cancer Foundation Luxembourg, Luxembourg National Research Fund (FNR) grants (INTER 20/15084569, C21/BM/15739125 “DIOMEDES”; C23/BM/18068832 “IMPACTT” PRIDE 16763386 “CANBIO2”, 16749720 “NextImmune2”, 14254520 “I2TRON”), F.R.S.-FNRS-Televie (grants 7.4593.19,
7.4529.19 and 7.8504.20) and the European Cooperation in Science and Technology (COST) Action CA18133 European Research Network on Signal Transduction (ERNEST). GDU is a F.R.S.-FNRS-Televie fellow (grant 7.4529.19). MS and AC are part of the Marie Skłodowska-Curie Innovative Training Networks ONCORNET2.0 “ONCOgenic Receptor Network of Excellence and Training” (MSCA-ITN-2020-ETN).
Publisher Copyright:
© 2024
PY - 2024/9/30
Y1 - 2024/9/30
N2 - Chemokines and their receptors form a complex interaction network, crucial for precise leukocyte positioning and trafficking. In cancer, they promote malignant cell proliferation and survival but are also critical for immune cell infiltration in the tumor microenvironment. Glioblastoma (GBM) is the most common and lethal brain tumor, characterized by an immunosuppressive TME, with restricted immune cell infiltration. A better understanding of chemokine-receptor interactions is therefore essential for improving tumor immunogenicity. In this study, we assessed the expression of all human chemokines in adult-type diffuse gliomas, with particular focus on GBM, based on patient-derived samples. Publicly available bulk RNA sequencing datasets allowed us to identify the chemokines most abundantly expressed in GBM, with regard to disease severity and across different tumor subregions. To gain insight into the chemokines–receptor network at the single cell resolution, we explored GBmap, a curated resource integrating multiple scRNAseq datasets from different published studies. Our study constitutes the first patient–based handbook highlighting the relevant chemokine–receptor crosstalks, which are of significant interest in the perspective of a therapeutic modulation of the TME in GBM.
AB - Chemokines and their receptors form a complex interaction network, crucial for precise leukocyte positioning and trafficking. In cancer, they promote malignant cell proliferation and survival but are also critical for immune cell infiltration in the tumor microenvironment. Glioblastoma (GBM) is the most common and lethal brain tumor, characterized by an immunosuppressive TME, with restricted immune cell infiltration. A better understanding of chemokine-receptor interactions is therefore essential for improving tumor immunogenicity. In this study, we assessed the expression of all human chemokines in adult-type diffuse gliomas, with particular focus on GBM, based on patient-derived samples. Publicly available bulk RNA sequencing datasets allowed us to identify the chemokines most abundantly expressed in GBM, with regard to disease severity and across different tumor subregions. To gain insight into the chemokines–receptor network at the single cell resolution, we explored GBmap, a curated resource integrating multiple scRNAseq datasets from different published studies. Our study constitutes the first patient–based handbook highlighting the relevant chemokine–receptor crosstalks, which are of significant interest in the perspective of a therapeutic modulation of the TME in GBM.
KW - CellChat
KW - Chemokine-receptor interactions
KW - Chemokines
KW - Glioblastoma
KW - scRNAseq
UR - http://www.scopus.com/inward/record.url?scp=85205226198&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/39353298/
U2 - 10.1016/j.compbiomed.2024.109197
DO - 10.1016/j.compbiomed.2024.109197
M3 - Article
C2 - 39353298
AN - SCOPUS:85205226198
SN - 0010-4825
VL - 182
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
M1 - 109197
ER -