ArticleOncogene2026
Synonymous codon usage shapes ERα function through specialized translational programs during breast cancer progression.
Article in Oncogene, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
15 authors.
Funding
Abstract
Long considered neutral, synonymous codon usage is increasingly recognized as a regulatory layer of mRNA translation. Proteins expressed during proliferation are translated from mRNAs with codon compositions distinct from those encoding proteins in differentiated states, suggesting the existence of specialized translational programs. In hormone-receptor-positive breast cancer, estrogen receptor-alpha (ERα/ESR1) acts both as a driver of proliferation and as a maintainer of luminal identity, making its translational regulation particularly relevant. Here, we show that the transition of breast cancer cells from quiescent, differentiated states towards proliferative, less differentiated phenotypes, is accompanied by a systematic shift from G/C3- to A/U3-biased codon usage. ERα coding sequence architecture mirrors these translational programs through both global codon composition and position-dependent codon patterns. These features influence translational efficiency and likely modulate co-translational folding dynamics, thereby adjusting receptor abundance and functional outputs according to the prevailing translational program. Consistent with their functional importance, synonymous codon choices are subject to increased selective constraints within regions encoding structural and functional domains. Using engineer synonymous ERα variants, we demonstrate that codon usage fine-tunes receptor function across distinct cellular states. Together, our findings identify synonymous codon usage as a previously unrecognized mechanism linking translational programs to ERα expression and function.
Identifiers
42786269What 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.