Nature GeneticsCancer BiologyPeer-reviewed journal article
APOBEC3 mutagenesis drives therapy resistance in breast cancer
Avantika GuptaiD, Andrea M. GazzoiD, Pier SelenicaiD, Anton Mikhailovich SafonoviD, Fresia G. ParejaiD, Edaise M. da SilvaiD, David N. BrowniD, Hong ShaoiD, Yingjie ZhuiD, Juber PateliD, Juan Blanco-HerediaiD, Bojana StefanovskaiD, Michael A. CarpenteriD, Yanjun CheniD, Isabella VegasiD, Xin PeiiD, Denise Frosina, Achim A. JungbluthiD, Marc LadanyiiD, Giuseppe CuriglianoiD, Britta WeigeltiD, Nadeem RiaziD, Simon N. PowelliD, Pedram RazaviiD, Reuben S. HarrisiD, , Sarat ChandarlapatyiD
Abstract
Acquired genetic alterations commonly drive resistance to endocrine and targeted therapies in metastatic breast cancer1-7, however the underlying processes engendering these diverse alterations are largely uncharacterized. To identify the mutational processes operant in breast cancer and their impact on clinical outcomes, we utilized a well-annotated cohort of 3,880 patient samples with paired tumor-normal sequencing data. The mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) enzymes were highly prevalent and enriched in post-treatment compared to treatment-naive hormone receptor-positive (HR+) cancers. APOBEC3 mutational signatures were independently associated with shorter progression-free survival on antiestrogen plus CDK4/6 inhibitor combination therapy in patients with HR+ metastatic breast cancer. Whole genome sequencing (WGS) of breast cancer models and selected paired primary-metastatic samples demonstrated that active APOBEC3 mutagenesis promoted resistance to both endocrine and targeted therapies through characteristic alterations such as RB1 loss-of-function mutations. Evidence of APOBEC3 activity in pre-treatment samples illustrated a pervasive role for this mutational process in breast cancer evolution. The study reveals APOBEC3 mutagenesis to be a frequent mediator of therapy resistance in breast cancer and highlights its potential as a biomarker and target for overcoming resistance.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: differential expression
- approach: statistical model
- Citations
- 51
- FWCI
- 15.24
- Field percentile
- top 1%
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