ArticleGenome medicine2026
ESR1 mutations and CDK4/6 inhibitor choice shape clonal selection and adaptive cell states during acquired resistance.
Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors.
Funding
Abstract
backgroundIn estrogen receptor-positive (ER +) breast cancer, CDK4/6 inhibitors (CDK4/6is) combined with endocrine therapy (ET) are standard first-line treatment for metastatic disease. However, most patients eventually develop resistance. Activating ESR1 mutations are a prevalent mechanism of acquired resistance to ET and are enriched after ET plus a CDK4/6 inhibitor (CDK4/6i), but their role in the clonal evolution and adaptive mechanisms of acquired resistance to CDK4/6 inhibition, independent of ET, is unknown. In addition, whether different CDK4/6is impose distinct selective pressures and divergent resistance states remains elusive.
methodsTo investigate the clonal dynamics, cell states and cellular plasticity during acquired CDK4/6i resistance in mutant versus wild-type (WT) ESR1, we performed high-complexity DNA barcoding (ClonTracer library) with longitudinal sampling and multi-omic profiling in an isogeneic MCF7 model expressing WT ER or Y537S mutant ER. We also evaluated the clonality of the ESR1 mutations in clinical samples with CDK4/6i resistance.
resultsWe showed that ESR1 mutations are enriched in clinical tumors with acquired resistance to CDK4/6is, and in paired biopsies expanded to near clonality after treatment. We demonstrated progressive clonal selection with both divergent and partially convergent evolutionary trajectories. The ESR1 mutation substantially reshapes clonal and epigenetic evolution during palbociclib resistance but had a weaker impact under abemaciclib selection. Overall, clonal evolution and cell states in palbociclib and abemaciclib resistance were distinct. Single-cell RNA-seq revealed transcriptional heterogeneity highlighting cellular plasticity during passaging of cells and selection. Finally, in vivo barcoding of mammary xenograft, local recurrences, and distant metastases demonstrated site-specific clonal outgrowth in mutant ER metastases, and partial overlap between metastatic and CDK4/6i-resistant subclones, supporting the dual role of specific populations in therapeutic resistance and metastatic colonization.
conclusionsHigh-resolution lineage tracing and multi-omic studies demonstrate that CDK4/6i resistance is shaped by clonal selection and adaptive remodeling of cell states, with the ESR1 mutation status and the specific inhibitor acting as key determinants of evolutionary trajectories. These findings suggest that both variables should be considered when designing sequential and combination treatment strategies to overcome CDK4/6i resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.