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

dc.contributor.authorPedrosa, Leire
dc.contributor.authorFoguet Coll, Carles
dc.contributor.authorOliveres, Helena
dc.contributor.authorArchilla Sanz, Iván
dc.contributor.authorGarcía de Herreros, Marta
dc.contributor.authorRodríguez, Adela
dc.contributor.authorPostigo, Antonio
dc.contributor.authorBenítez-Ribas, Daniel
dc.contributor.authorCamps, Jordi
dc.contributor.authorCuatrecasas Freixas, Miriam
dc.contributor.authorCastells Garangou, Antoni
dc.contributor.authorPrat Aparicio, Aleix
dc.contributor.authorThomson, Timothy M.
dc.contributor.authorMaurel Santasusana, Joan
dc.contributor.authorCascante i Serratosa, Marta
dc.date.accessioned2023-04-27T15:09:57Z
dc.date.available2023-04-27T15:09:57Z
dc.date.issued2022-09-02
dc.date.updated2023-04-27T15:09:57Z
dc.description.abstractExisting 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.extent14 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec729686
dc.identifier.idimarina9329893
dc.identifier.issn1664-3224
dc.identifier.pmid36119118
dc.identifier.urihttps://hdl.handle.net/2445/197332
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fimmu.2022.926304
dc.relation.ispartofFrontiers in Immunology, 2022, vol. 13, p. 926304
dc.relation.urihttps://doi.org/10.3389/fimmu.2022.926304
dc.rightscc-by (c) Pedrosa, Leire et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Fonaments Clínics)
dc.subject.classificationCàncer colorectal
dc.subject.classificationMetàstasi
dc.subject.classificationMarcadors bioquímics
dc.subject.classificationImmunoteràpia
dc.subject.classificationMetabolisme
dc.subject.otherColorectal cancer
dc.subject.otherMetastasis
dc.subject.otherBiochemical markers
dc.subject.otherImmunotheraphy
dc.subject.otherMetabolism
dc.titleA novel gene signature unveils three distinct immune- metabolic rewiring patterns conserved across diverse tumor types and associated with outcomes
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
729686.pdf
Mida:
17.34 MB
Format:
Adobe Portable Document Format