Mitogenomic Alterations in Breast Cancer: Identification of Potential Biomarkers of Risk and Prognosis

Alterations in the mitochondrial genome (mtDNA) have been shown to be key in cancer development and could be useful as biomarkers for diagnosis, prognosis, and treatment. To identify mtDNA variants associated with breast cancer, we analyzed the whole mtDNA sequence from paired tissues (tumor-peripheral blood) of women with this malignancy and from peripheral blood samples of healthy women. The mtDNA mutational landscape, heteroplasmy levels of the variants, and mitochondrial ancestry were established. Comparative analysis between cases and controls revealed significant differences in the number and location of variants, as well as in the heteroplasmy levels. Cases showed higher mutation number in <i>MT-ND5</i>, tRNAs, and rRNAs genes; increased proportion of missense variants; and elevated mtDNA content, than controls. Notably, a high blood mtDNA mutational burden (OR = 3.83, CI: 1.89-7.95, <i>p</i> = 5.3 × 10<sup>-5</sup>) and five mtDNA variants showed association with the risk of breast cancer. Furthermore, a low tumor mutational burden (HR = 7.82, CI: 1.0-63.6, <i>p</i> = 0.05) and the haplogroup L (HR = 12.16, CI: 2.0-72.8, <i>p</i> = 0.0062) were associated with decreased overall and disease-free survival, respectively. Our study adds evidence of the potential usefulness of mtDNA variants as risk and prognosis biomarkers for breast cancer.

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Journal
International Journal of Molecular Sciences
Published
2025-08-30
DOI
https://doi.org/10.3390/ijms26178456
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00

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article

Mitogenomic Alterations in Breast Cancer: Identification of Potential Biomarkers of Risk and Prognosis

Alfredo Hidalgo‐Miranda, Amellalli Bazan-Cordoba, Eva Ruvalcaba-Limón, Silvia Jiménez‐Morales et al.
International Journal of Molecular Sciences
RNA modifications and cancer
article

Mitogenomic Alterations in Breast Cancer: Identification of Potential Biomarkers of Risk and Prognosis

Alfredo Hidalgo‐Miranda, Amellalli Bazan-Cordoba, Eva Ruvalcaba-Limón, Silvia Jiménez‐Morales, Diana Karen Mendiola-Soto, Felipe Villegas‐Carlos, Alberto Tenorio‐Torres, Laura Gómez-Romero, Carlos Jhovani Pérez-Amado, Julián Ramírez‐Bello, Verónica Bautista‐Piña
article en

Abstract

Alterations in the mitochondrial genome (mtDNA) have been shown to be key in cancer development and could be useful as biomarkers for diagnosis, prognosis, and treatment. To identify mtDNA variants associated with breast cancer, we analyzed the whole mtDNA sequence from paired tissues (tumor-peripheral blood) of women with this malignancy and from peripheral blood samples of healthy women. The mtDNA mutational landscape, heteroplasmy levels of the variants, and mitochondrial ancestry were established. Comparative analysis between cases and controls revealed significant differences in the number and location of variants, as well as in the heteroplasmy levels. Cases showed higher mutation number in <i>MT-ND5</i>, tRNAs, and rRNAs genes; increased proportion of missense variants; and elevated mtDNA content, than controls. Notably, a high blood mtDNA mutational burden (OR = 3.83, CI: 1.89-7.95, <i>p</i> = 5.3 × 10<sup>-5</sup>) and five mtDNA variants showed association with the risk of breast cancer. Furthermore, a low tumor mutational burden (HR = 7.82, CI: 1.0-63.6, <i>p</i> = 0.05) and the haplogroup L (HR = 12.16, CI: 2.0-72.8, <i>p</i> = 0.0062) were associated with decreased overall and disease-free survival, respectively. Our study adds evidence of the potential usefulness of mtDNA variants as risk and prognosis biomarkers for breast cancer.

International Journal of Molecular SciencesVol. 26(17)
National Institute of Genomic Medicine (MX), Fundación para la Investigación, Docencia y Prevención del Cáncer (AR), Instituto de Medicina Genómica (ES), Instituto Nacional de Cardiología (MX), Universidad Nacional Autónoma de México (MX), Tecnológico de Monterrey (MX)
Instituto Nacional de Medicina Genómica
Openalex Percentile: Top 80%
RNA modifications and cancer
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