Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies.

Détails

Ressource 1Télécharger: 36525288_BIB_A9C8C5466322.pdf (9336.96 [Ko])
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_A9C8C5466322
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies.
Périodique
eLife
Auteur⸱e⸱s
Wild S.A., Cannell I.G., Nicholls A., Kania K., Bressan D., Hannon G.J., Sawicka K.
Collaborateur⸱rice⸱s
CRUK IMAXT Grand Challenge Team
Contributeur⸱rice⸱s
Hannon G.J., Albuquerque B., Alini M., Ashmore H., Ashmore T., Giorgia B., Bressan D., Cannell I.G., Casbolt H., Deighton L., Falciatori I., Fatemi A., Hemmer N., Jauset C., Kovačević T., Mulvey C.M., Narayanan N., Nugent F., Rebbeck C., Paez Ribes M., Pearsall I., Pearsall S., Qosaj F., Sawicka K., Wild S.A., Williams E., Ali H.R., Aparicio S., Laks E., Li Y., O'Flanagan C.H., Smith A., Lai D., Andrew R., Balasubramanian S., Nogueira JCF, Lee M., Bodenmiller B., Burger M., Kuett L., Windhager J., Boyden E.S., Ghosh D., Sinha A., Pryor B., Zhang R., Lovell J., Zhang C., Lu Y., Caldas C., Bruna A., Callari M., Deighton L., Greenwood W., Lerda G., Eyal-Lubling Y., Rueda O.M., Shea A., Harris O., Becker R., Grimaldi F., Harris S., Vogl S.L., Weselak J., Joyce J.A., Watson S.S., Marioni J., Shah S.P., McPherson A., Vázquez-García I., Tavaré S., Dinh K.N., Kunes R., Walton N.A., Al Sa'd M., Chornay N., Dariush A., González-Solares E.A., González-Fernández C., Küpcü Yoldaş A., Molaeinezhad A., Millar N., Whitmarsh T., Zhuang X., Fan J., Lee H., Sepúlveda L.A., Xia C., Zheng P.
ISSN
2050-084X (Electronic)
ISSN-L
2050-084X
Statut éditorial
Publié
Date de publication
2022
Peer-reviewed
Oui
Volume
11
Pages
e80981
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Résumé
Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics with WILD-seq; Wholistic Interrogation of Lineage Dynamics by sequencing, in mouse models of triple-negative breast cancer (TNBC) to understand response and resistance to therapy, including BET bromodomain inhibition and taxane-based chemotherapy. These analyses revealed oxidative stress protection by NRF2 as a major mechanism of taxane resistance and led to the discovery that our tumour models are collaterally sensitive to asparagine deprivation therapy using the clinical stage drug L-asparaginase after frontline treatment with docetaxel. In summary, clonal transcriptomics with WILD-seq identifies mechanisms of resistance to chemotherapy that are also operative in patients and pin points asparagine bioavailability as a druggable vulnerability of taxane-resistant lineages.
Mots-clé
Humans, Mice, Animals, Drug Resistance, Neoplasm/genetics, Nuclear Proteins, Transcriptome, Asparagine, Transcription Factors, Triple Negative Breast Neoplasms/pathology, Taxoids/pharmacology, Taxoids/therapeutic use, cancer biology, cancer therapy, chromosomes, gene expression, lineage tracing, mouse, single cell genomics, tumor heterogeneity
Pubmed
Open Access
Oui
Création de la notice
27/12/2022 12:39
Dernière modification de la notice
25/01/2024 8:42
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