Ataxia-Telangiectasia Mutated (ATM) loss of function displays variant and tissue-specific differences across tumor types.
Journal
Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500
Informations de publication
Date de publication:
28 Feb 2024
28 Feb 2024
Historique:
accepted:
21
02
2024
received:
15
06
2023
revised:
31
10
2023
medline:
28
2
2024
pubmed:
28
2
2024
entrez:
28
2
2024
Statut:
aheadofprint
Résumé
Mutations in the ATM gene are common in multiple cancers, but clinical studies of therapies targeting ATM aberrant cancers have yielded mixed results. Refinement of ATM loss of function (LOF) as a predictive biomarker of response is urgently needed. We present the first disclosure and preclinical development of a novel, selective ATR inhibitor, ART0380, and test its antitumor activity in multiple preclinical cancer models. To refine ATM LOF as a predictive biomarker, we performed a comprehensive pan-cancer analysis of ATM variants in patient tumors, and then assessed the ATM variant-to-protein relationship. Finally, we assessed a novel ATM LOF biomarker approach in retrospective clinical datasets of patients treated with platinum-based chemotherapy or ATR inhibition. ART0380 had potent, selective anti-tumor activity in a range of preclinical cancer models with differing degrees of ATM LOF. Pan-cancer analysis identified 10609 ATM variants in 8587 patient tumors. Cancer-lineage specific differences were seen in: the prevalence of deleterious (Tier 1) versus unknown/benign (Tier 2) variants, selective pressure for loss of heterozygosity, and concordance between a deleterious variant and ATM loss of protein (LOP). A novel ATM LOF biomarker approach that accounts for variant classification, relationship to ATM LOP, and tissue-specific penetrance significantly enriched for patients who benefited from platinum-based chemotherapy or ATR inhibition. These data help to better define ATM LOF across tumor types in order to optimize patient selection and improve molecularly targeted therapeutic approaches for patients with ATM LOF cancers.
Identifiants
pubmed: 38416404
pii: 734972
doi: 10.1158/1078-0432.CCR-23-1763
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM