Pérez-Amado Carlos Jhovani, Bazan-Cordoba Amellalli, Gómez-Romero Laura, Ramírez-Bello Julian, Bautista-Piña Verónica, Tenorio-Torres Alberto, Ruvalcaba-Limón Eva, Villegas-Carlos Felipe, Mendiola-Soto Diana Karen, Hidalgo-Miranda Alfredo, Jiménez-Morales Silvia
Laboratorio de Innovación y Medicina de Precisión Núcleo "A", Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
Programa de Maestría y Doctorado, Posgrado en Ciencias Bioquímicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Int J Mol Sci. 2025 Aug 30;26(17):8456. doi: 10.3390/ijms26178456.
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 , 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, = 5.3 × 10) 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, = 0.05) and the haplogroup L (HR = 12.16, CI: 2.0-72.8, = 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.
线粒体基因组(mtDNA)的改变已被证明在癌症发展中起关键作用,并且可用作诊断、预后和治疗的生物标志物。为了鉴定与乳腺癌相关的mtDNA变异,我们分析了患有这种恶性肿瘤的女性的配对组织(肿瘤-外周血)以及健康女性外周血样本的整个mtDNA序列。确定了mtDNA突变图谱、变异的异质性水平和线粒体祖先。病例与对照之间的比较分析揭示了变异的数量和位置以及异质性水平的显著差异。与对照相比,病例在、tRNA和rRNA基因中的突变数更高;错义变异的比例增加;mtDNA含量升高。值得注意的是,高血液mtDNA突变负担(OR = 3.83,CI:1.89 - 7.95, = 5.3 × 10)和五个mtDNA变异与乳腺癌风险相关。此外,低肿瘤突变负担(HR = 7.82,CI:1.0 - 63.6, = 0.05)和单倍群L(HR = 12.16,CI:2.0 - 72.8, = 0.0062)分别与总体生存率和无病生存率降低相关。我们的研究增加了mtDNA变异作为乳腺癌风险和预后生物标志物潜在有用性的证据。