Unusual phylogenetic tree and circulating actionable ESR1 mutations in an aggressive luminal/HER2-low breast cancer:

Matteo Allegretti1, Vittoria Barberi2, Cristiana Ercolani3

  • 1Translational Oncology Research, IRCSS Regina Elena National Cancer Institute, Rome, Italy.

Frontiers in Oncology
|January 30, 2023
PubMed

Insights

Aggressive breast cancer exhibits rapid evolution under treatment, displaying punctuated, branched, and convergent tumor evolution. Liquid biopsies revealed actionable ESR1 mutations predicting progression and guiding effective Fulvestrant therapy.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Aggressive breast cancers, particularly luminal B/HER2-low subtypes, rapidly develop therapeutic resistance.
  • Understanding tumor evolution dynamics is crucial for optimizing treatment strategies in advanced breast cancer.

Observation:

  • A >3-year longitudinal study tracked a luminal B/HER2-low breast cancer through six therapy lines.
  • Targeted next-generation sequencing (NGS) of primary tumor, metastases, and serial liquid biopsies revealed complex evolutionary patterns.
  • Three distinct evolutionary modes—punctuated, branched, and convergent—coexisted within the tumor over time.

Findings:

  • Punctuated evolution was evidenced by bulk inheritance of copy number alterations, while branched evolution was supported by site-specific single nucleotide variants (SNVs).
  • Convergent evolution manifested as asynchronous expansion of actionable ESR1 mutations at adjacent codons, detected primarily in liquid biopsies.
  • ESR1 mutations, initially undetectable in tissue, rapidly expanded in blood during HER2/hormone blockade, predicting metastatic progression and clinical resistance.

Implications:

  • Liquid biopsy-guided therapy demonstrated significant clinical response to Fulvestrant, achieving subclone clearance, contrasting with outcomes in large interventional trials.
  • Deconvoluting tumor phylogenetic trees through serial liquid biopsies can enable personalized treatment selection for refractory breast cancers.
  • This approach may improve therapeutic customization for patients with rapidly evolving, multi-drug resistant breast cancer.

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