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Enregistrement W4214928936 · doi:10.1016/j.ebiom.2022.103916

Fatty acid metabolism and drug resistance to EZH2 inhibition

2022· article· en· W4214928936 sur OpenAlexafffundabout
Yemin Wang

Notice bibliographique

RevueEBioMedicine · 2022
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueEpigenetics and DNA Methylation
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesCanadian Institutes of Health ResearchOvarian Cancer CanadaCancer Research Society
Mots-clésPRC2EZH2Histone H3MethyltransferaseEpigeneticsCancer researchHistone methyltransferaseChromatinBiologyHistoneGene silencingGeneticsMethylationGene

Résumé

récupéré en direct d'OpenAlex

Numerous studies in the past decade have demonstrated that human cancers are not only genetic diseases, but also frequently associated with epigenetic alterations. Among these epigenetic alterations, aberrant accumulation of trimethylation at histone H3 lysine residue 27 (H3K27Me3), a chromatin mark that results in nucleosome condensation and gene silencing, is correlated with disease progression in many cancers.1Ezponda T. Licht J.D. Molecular pathways: deregulation of histone h3 lysine 27 methylation in cancer-different paths, same destination.Clin Cancer Res. 2014; 20: 5001-5008Crossref PubMed Scopus (51) Google Scholar Deposition of H3K27Me3 to chromatin requires the polycomb repressive complex 2 (PRC2), an evolutionarily conserved protein complex whose core is composed of EZH2, SUZ12, EED and RbAp46/48.2Cao R. Wang L. Wang H. et al.Role of histone H3 lysine 27 methylation in polycomb-group silencing.Science. 2002; 298: 1039-1043Crossref PubMed Scopus (2719) Google Scholar,3Kuzmichev A. Nishioka K. Erdjument-Bromage H. Tempst P. Reinberg D. Histone methyltransferase activity associated with a human multiprotein complex containing the enhancer of zeste protein.Genes Dev. 2002; 16: 2893-2905Crossref PubMed Scopus (1222) Google Scholar Multiple pharmacologic inhibitors have been developed to diminish the activity of PRC2 for suppressing cancer growth. Most of these inhibitors compete with EZH2, the catalytic component of PRC2, for S-adenosyl-l-methionine (SAM), a universal methyl donor for methyltransferases. Among them, Tazverik (tazemetostat), developed by Epizyme Inc., was approved by US FDA in 2020 to treat advanced epithelioid sarcoma with SMARCB1 loss and follicular lymphoma with EZH2 mutation at tyrosine residue 641 (Y641). SMARCB1 is a key component of the SWI/SNF chromatin remodeling complex, whose inactivation increases the dependency on EZH2 activity.4Wilson B.G. Wang X. Shen X. et al.Epigenetic antagonism between polycomb and SWI/SNF complexes during oncogenic transformation.Cancer Cell. 2010; 18: 316-328Summary Full Text Full Text PDF PubMed Scopus (427) Google Scholar,5Kim K.H. Kim W. Howard T.P. et al.SWI/SNF-mutant cancers depend on catalytic and non-catalytic activity of EZH2.Nat Med. 2015; 21: 1491-1496Crossref PubMed Scopus (253) Google Scholar Somatic mutation of EZH2 Y641 occurs in a portion of follicular lymphoma that activates the enzymatic activity of EZH2.6Morin R.D. Johnson N.A. Severson T.M. et al.Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin.Nat Genet. 2010; 42: 181-185Crossref PubMed Scopus (1259) Google Scholar,7Yap D.B. Chu J. Berg T. et al.Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation.Blood. 2011; 117: 2451-2459Crossref PubMed Scopus (452) Google Scholar However, despite the wide-spread overexpression of EZH2 and accumulation of H3K27Me3 in solid cancers, EZH2 inhibitors are not effective in most solid cancer cells. There is a great need to identify mechanisms underlying this intrinsic resistance to EZH2 inhibitors. Notably, it has been reported that MLL1, highly expressed in cancer cells intrinsically resistant to EZH2 inhibitors, interacts with p300/CBP complex and elicits a reciprocal H3K27ac upregulation upon EZH2 inhibition to confer drug resistance.8Huang X. Yan J. Zhang M. et al.Targeting epigenetic crosstalk as a therapeutic strategy for EZH2-aberrant solid tumors.Cell. 2018; 175: 186-99 e19Summary Full Text Full Text PDF Scopus (91) Google Scholar It remains unclear whether activation of any specific oncogenic mechanism is responsible for intrinsic resistance to EZH2 inhibitors. In this issue of eBioMedicine, Zhang et al. analyzed the transcriptomic and metabolomic responses to GSK126, an EZH2 inhibitor under clinical investigation, in B16F10, a murine melanoma cell line that is intrinsically resistant to EZH2 inhibitor treatment.9Zhang T. Guo Z. Huo X. et al.Dysregulated lipid metabolism blunts the sensitivity of cancer cells to EZH2 inhibitor.EBioMedicine. 2022; 77103872https://doi.org/10.1016/j.ebiom.2022.103872Summary Full Text Full Text PDF Scopus (1) Google Scholar They uncovered that GSK126 induced the expression of multiple genes involved in fatty acid metabolism, such as SCD1, a rate limiting enzyme responsible for the conversion of saturated fatty acids to monounsaturated fatty acids that promotes cancer cell growth by enhancing membrane turnover and energy production.10Khan W. Augustine D. Rao R.S. et al.Lipid metabolism in cancer: a systematic review.J Carcinog. 2021; 20: 4Crossref PubMed Scopus (7) Google Scholar Zhang et al. validated these regulations in multiple human solid tumor cell lines and demonstrated that they are direct effects from the loss of H3K27me3 upon EZH2 inhibition by ChIP analyses. The subsequent metabolomic profiling further confirmed the effect of GSK126 on cellular metabolism in B16F10 cells. In agreement with the upregulation of fatty acid metabolic genes, Zhang et al. discovered that GSK126 increased the abundance of a number of fatty acids, mostly polyunsaturated fatty acid (PUFA), in GSK126-treated B16F10 cancer cells. In contrast, while GSK126 treatment also affected the cellular metabolism of Daudi, a lymphoma cell line sensitive to EZH2 inhibition, neither the expression of fatty acid metabolism genes nor the abundance of PUFA was altered by GSK126. Notably, addition of fatty acids (palmitic acid and stearic acid) rescued the growth suppression in Daudi cells treated by GSK126, suggesting that increased fatty acid synthesis may provide a growth advantage for cells to survive the treatment of EZH2 inhibitors. Next, Zhang et al. evaluated the potency of targeting SCD1 through either genetic suppression or pharmacologic inhibition in cancer cells resistant to EZH2 inhibition. As expected, suppressing SCD1 increased cellular response to EZH2 inhibition in vitro and in vivo. Lastly, as SCD1 inhibitors are at preclinical stages, Zhang et al. investigated the tumor-suppressive effect of combining the clinical lipid-lowering drug fenofibrate with GSK126. Their results revealed that the drug combination had a significant stronger reduction on cell growth than each treatment alone in vitro, suggesting a possible rapid translation of their finding into clinical trials. This study from Zhang et al. suggests a great potential of targeting fatty acid metabolism to improve the clinical utility of EZH2 inhibitors. However, there are several unsolved questions: (1) What is the mechanism underlying the selective induction of fatty acid metabolism genes in cancer cells intrinsically resistant to EZH2 inhibition? Is it related to MLL1 expression? (2) Can the expression of certain fatty acid metabolism genes serve as biomarkers to predict patient's response to EZH2 inhibitors? (3) Will deregulation of fatty acid metabolism, particularly PUFA, be one key mechanism for acquired resistance to EZH2 inhibitors in epithelioid sarcoma and EZH2-mutant follicular lymphoma cancer cells? (4) Will the availability of fatty acid in tumor microenvironment and its uptake into cancer cells impact cellular response to EZH2 inhibitors? (5) As both tazemetostat and fenofibrate treatments are accompanied by side effects such as headache, nausea and uncomfortableness in stomach, is the combined treatment of an EZH2 inhibitor and fenofibrate tolerable in patients? Nevertheless, this discovery by Zhang et al. is existing. Future development of clinically useful SCD1 inhibitors will be warranted to advance this finding to clinical testing. Y.W.: conceptualization, literature search, writing. I have no conflict of interest to declare. This work was supported by research funds from the Canadian Institute of Health Research (CIHR, #462168) and the Cancer Research Society-Ovarian Cancer Canada (CRS-OVCAN, #877887). Y.W. is the recipient of the North Family Health Research Award administered by OVCARE and the VGH&UBC Hospital Foundation. Dysregulated lipid metabolism blunts the sensitivity of cancer cells to EZH2 inhibitorDysregulated lipid metabolism can blunt the sensitivity of cancer cells to GSK126. These characteristics shed light on the novel combination therapy strategies to combat tumor resistance. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,449
Score d'incertitude au seuil0,337

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,242
Écart entre enseignants0,236 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2022
Routes d'admission3
Résumé présentoui

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