Evaluation of endocrine resistance using ESR1 genotyping of circulating tumor cells and plasma DNA.
AI resistance ER + breast cancer
Acquired ESR1 mutations
Circulating tumor DNA (ctDNA)
Circulating tumor cells (CTCs)
High-sensitivity ESR1 sequencing
Journal
Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
received:
17
12
2020
accepted:
24
05
2021
pubmed:
9
6
2021
medline:
30
6
2021
entrez:
8
6
2021
Statut:
ppublish
Résumé
Therapeutic efficacy of hormonal therapies to target estrogen receptor (ER)-positive breast cancer is limited by the acquisition of ligand-independent ESR1 mutations, which confer treatment resistance to aromatase inhibitors (AIs). Monitoring for the emergence of such mutations may enable individualized therapy. We thus assessed CTC- and ctDNA-based detection of ESR1 mutations with the aim of evaluating non-invasive approaches for the determination of endocrine resistance. In a prospective cohort of 55 women with hormone receptor-positive metastatic breast cancer, we isolated circulating tumor cells (CTCs) and developed a high-sensitivity method for the detection of ESR1 mutations in these CTCs. In patients with sufficient plasma for the simultaneous extraction of circulating tumor DNA (ctDNA), we performed a parallel analysis of ESR1 mutations using multiplex droplet digital PCR (ddPCR) and examined the agreement between these two platforms. Finally, we isolated single CTCs from a subset of these patients and reviewed RNA expression to explore alternate methods of evaluating endocrine responsiveness. High-sensitivity ESR1 sequencing from CTCs revealed mono- and oligoclonal mutations in 22% of patients. These were concordant with plasma DNA sequencing in 95% of cases. Emergence of ESR1 mutations was correlated both with time to metastatic relapse and duration of AI therapy following such recurrence. The Presence of an ESR1 mutation, compared to ESR1 wild type, was associated with markedly shorter Progression-Free Survival on AI-based therapies (p = 0.0006), but unaltered to other non-AI-based therapies (p = 0.73). Compared with ESR1 mutant cases, AI-resistant CTCs with wild-type ESR1 showed an elevated ER-coactivator RNA signature, consistent with their predicted response to second-line hormonal therapies. Blood-based serial monitoring may guide the selection of precision therapeutics for women with AI-resistant ER-positive breast cancer.
Identifiants
pubmed: 34101078
doi: 10.1007/s10549-021-06270-z
pii: 10.1007/s10549-021-06270-z
pmc: PMC8667563
mid: NIHMS1756429
doi:
Substances chimiques
Circulating Tumor DNA
0
Estrogen Receptor alpha
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
43-52Subventions
Organisme : NIA NIH HHS
ID : T35 AG049685
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA129933
Pays : United States
Organisme : National Institute of Health
ID : 2RO1CA129933
Organisme : NIBIB NIH HHS
ID : U01 EB012493
Pays : United States
Organisme : Susan G Komen Foundation
ID : CCR15224703
Organisme : National Institute of Health
ID : 5U01EB012493
Organisme : NCI NIH HHS
ID : K12 CA087723
Pays : United States
Organisme : Federal Share Research Career Development Award
ID : K12CA087723
Organisme : National Institute of Health
ID : 5P41EB002503
Organisme : NIBIB NIH HHS
ID : P41 EB002503
Pays : United States
Organisme : National Institute of Health
ID : 2U01EB012493
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