Longevity & AgingArtículo de investigaciónAcceso abierto

Mitochondrial ribosome mutations recur in thousands of tumors and impair respiration at low doses

Analysis of 14,106 tumor genomes finds recurrent hotspot mutations in mitochondrial rRNA genes. One tested mutation impairs respiration at about 10% heteroplasmy.

sábado, 10 de octubre de 2026 1 visualización
Publicado en Nat Genet
Glowing 3D mitochondrial ribosome with highlighted mutated rRNA hotspots inside a mitochondrion, with a DNA helix in the background

Resumen

Most recurrent cancer mutations hit nuclear protein-coding genes. This study of 14,106 whole tumor genomes from Genomics England found recurrent hotspot mutations in the two mitochondrial ribosomal RNA genes, MT-RNR1 and MT-RNR2, in about 4% of tumors. These hotspots fall on positions that are conserved in the germline and cluster at sites where the mitochondrial ribosome contacts mRNA and tRNA. Using precision mtDNA base editing, the team engineered the hotspot mutation m.1227G>A. It reduced mitochondrial function and depleted respiratory chain subunits at heteroplasmy as low as about 10%. This challenges the view that pathogenic mtDNA mutations act recessively and need very high heteroplasmy. It suggests that disrupting mitochondrial translation is positively selected in cancer.

Resumen detallado

Mitochondria carry their own small genome, and cancers frequently mutate it. Until now, the mitochondrial ribosomal RNAs (12S, MT-RNR1; 16S, MT-RNR2) were not known to be selected for mutation in tumors. Germline mt-rRNA mutations are also rarely linked to disease: only 2 of 94 pathogenic variants in the MITOMAP database, both tied to aminoglycoside-induced hearing loss, sit in rRNA genes, versus 50 of 94 in tRNAs. Mitochondrial DNA mutations have also been considered functionally recessive, with clinical effects usually appearing only above roughly 60% heteroplasmy (the fraction of mtDNA copies carrying the mutation).

The researchers analyzed 14,106 primary tumors with whole-genome sequencing from the Genomics England 100,000 Genomes Project. Mean mtDNA coverage was about 15,919×, allowing confident calls down to about 5% heteroplasmy. They identified 18,104 somatic SNVs and 2,222 indels, and applied a hotspot-detection algorithm that tests for mutation burden above background mutational processes. This yielded 138 significant SNV hotspots across 21 tumor lineages, plus seven indel hotspots at homopolymeric sites in complex I genes. Of the SNV hotspots, 96 were in protein-coding genes, 8 in tRNA genes and 34 in rRNA genes.

The rRNA genes ranked second only to MT-ND5 for the number of hotspots, and about 4% of all tumors carried at least one rRNA hotspot. Only 7 of 138 SNV hotspots were also found in non-neoplastic cells, suggesting most are cancer-specific. Recurrence of mutant alleles in two independent cohorts, TCGA (exome) and PCAWG (whole genome), correlated with the Genomics England data (R = 0.703 and R = 0.94), which argues against a cohort or variant-calling artifact. According to the abstract, rRNA hotspots preferentially fell on positions under purifying selection in the germline and clustered structurally within the mitoribosome at mRNA- and tRNA-interacting positions.

To test function, the authors used precision mtDNA base editing to model an exemplar MT-RNR1 hotspot, m.1227G>A. Multimodal profiling showed a heteroplasmy-dependent decline in mitochondrial function and loss of respiratory chain subunits from a dosage of about 10%. This is far below the thresholds seen in classical mitochondrial disease and indicates that disruption of conserved rRNA positions can act in a functionally dominant way. The authors propose these mutations as a class of pathogenic mtDNA variants under positive selection in cancer.

These are genomic and cell-based findings, not clinical guidance. The text available for this summary was truncated partway through the Results section, so it does not cover how the mutations affect tumor growth, the full Discussion, or the details of the base-editing models beyond the abstract. Whether rRNA mutations drive tumor progression or create therapeutic vulnerabilities remains to be shown.

Hallazgos clave

  • Analysis of 14,106 tumor genomes found 138 significant somatic SNV hotspots in mtDNA, including 34 in the two mitochondrial rRNA genes.
  • About 4% of tumors carried at least one rRNA hotspot; MT-RNR1 and MT-RNR2 ranked second only to MT-ND5 by hotspot count.
  • Only 7 of 138 SNV hotspots also appeared in non-neoplastic cells, indicating most are cancer-specific; TCGA and PCAWG cohorts replicated the recurrence patterns.
  • rRNA hotspots favored germline-conserved positions and clustered at mRNA- and tRNA-interacting sites within the mitoribosome.
  • Base-edited m.1227G>A reduced mitochondrial function and respiratory chain subunits from about 10% heteroplasmy, suggesting dominant rather than recessive action.

Metodología

Population-scale analysis of whole-genome sequencing from 14,106 primary tumors in the Genomics England 100,000 Genomes Project (mean mtDNA coverage ~15,919×, calls to ~5% heteroplasmy), with hotspot detection against background mutational processes and cross-validation in TCGA and PCAWG. Structural mapping onto the mitoribosome and germline constraint analysis were followed by functional testing of m.1227G>A using precision mtDNA base editing and multimodal profiling.

Limitaciones del estudio

The text provided was truncated partway through the Results, so downstream findings, the Discussion and some methodological details are not covered here, and the functional evidence rests on the abstract's description of an engineered model of a single exemplar mutation (m.1227G>A). Cohort data come from a single national program, with only partial replication in smaller cohorts, and the link between rRNA mutations and tumor growth, prognosis or treatment response is not established in the available text.

¿Te ha gustado este resumen?

Recibe la última investigación sobre longevidad en tu bandeja de entrada cada semana.

Introduce tu correo electrónico para suscribirte: