A novel gene signature unveils three distinct immune- metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes

dc.contributor.author
Pedrosa, Leire
dc.contributor.author
Foguet Coll, Carles
dc.contributor.author
Oliveres, Helena
dc.contributor.author
Archilla Sanz, Iván
dc.contributor.author
García de Herreros, Marta
dc.contributor.author
Rodríguez, Adela
dc.contributor.author
Postigo, Antonio
dc.contributor.author
Benítez-Ribas, Daniel
dc.contributor.author
Camps, Jordi
dc.contributor.author
Cuatrecasas Freixas, Miriam
dc.contributor.author
Castells Garangou, Antoni
dc.contributor.author
Prat Aparicio, Aleix
dc.contributor.author
Thomson, Timothy M.
dc.contributor.author
Maurel Santasusana, Joan
dc.contributor.author
Cascante i Serratosa, Marta
dc.date.issued
2023-04-27T15:09:57Z
dc.date.issued
2023-04-27T15:09:57Z
dc.date.issued
2022-09-02
dc.date.issued
2023-04-27T15:09:57Z
dc.identifier
1664-3224
dc.identifier
https://hdl.handle.net/2445/197332
dc.identifier
729686
dc.identifier
9329893
dc.identifier
36119118
dc.description.abstract
Existing immune signatures and tumor mutational burden have only modest predictive capacity for the efficacy of immune check point inhibitors. In this study, we developed an immune-metabolic signature suitable for personalized ICI therapies. A classifier using an immune-metabolic signature (IMMETCOLS) was developed on a training set of 77 metastatic colorectal cancer (mCRC) samples and validated on 4,200 tumors from the TCGA database belonging to 11 types. Here, we reveal that the IMMETCOLS signature classifies tumors into three distinct immune-metabolic clusters. Cluster 1 displays markers of enhanced glycolisis, hexosamine byosinthesis and epithelial-to-mesenchymal transition. On multivariate analysis, cluster 1 tumors were enriched in pro-immune signature but not in immunophenoscore and were associated with the poorest median survival. Its predicted tumor metabolic features suggest an acidic-lactate-rich tumor microenvironment (TME) geared to an immunosuppressive setting, enriched in fibroblasts. Cluster 2 displays features of gluconeogenesis ability, which is needed for glucose-independent survival and preferential use of alternative carbon sources, including glutamine and lipid uptake/β-oxidation. Its metabolic features suggest a hypoxic and hypoglycemic TME, associated with poor tumor-associated antigen presentation. Finally, cluster 3 is highly glycolytic but also has a solid mitochondrial function, with concomitant upregulation of glutamine and essential amino acid transporters and the pentose phosphate pathway leading to glucose exhaustion in the TME and immunosuppression. Together, these findings suggest that the IMMETCOLS signature provides a classifier of tumors from diverse origins, yielding three clusters with distinct immune-metabolic profiles, representing a new predictive tool for patient selection for specific immune-metabolic therapeutic approaches.
dc.format
14 p.
dc.format
application/pdf
dc.language
eng
dc.publisher
Frontiers Media
dc.relation
Reproducció del document publicat a: https://doi.org/10.3389/fimmu.2022.926304
dc.relation
Frontiers in Immunology, 2022, vol. 13, p. 926304
dc.relation
https://doi.org/10.3389/fimmu.2022.926304
dc.rights
cc-by (c) Pedrosa, Leire et al., 2022
dc.rights
https://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Fonaments Clínics)
dc.subject
Càncer colorectal
dc.subject
Metàstasi
dc.subject
Marcadors bioquímics
dc.subject
Immunoteràpia
dc.subject
Metabolisme
dc.subject
Colorectal cancer
dc.subject
Metastasis
dc.subject
Biochemical markers
dc.subject
Immunotheraphy
dc.subject
Metabolism
dc.title
A novel gene signature unveils three distinct immune- metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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