School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW 2308, Australia.
Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia.
Int J Mol Sci. 2023 Jun 13;24(12):10078. doi: 10.3390/ijms241210078.
In breast cancer, p53 expression levels are better predictors of outcome and chemotherapy response than mutation. Several molecular mechanisms that modulate p53 levels and functions, including p53 isoform expression, have been described, and may contribute to deregulated p53 activities and worse cancer outcomes. In this study, and regulators of the p53 pathway were sequenced by targeted next-generation sequencing in a cohort of 137 invasive ductal carcinomas and associations between the identified sequence variants, and p53 and p53 isoform expression were explored. The results demonstrate significant variability in levels of p53 isoform expression and variant types among tumours. We have shown that truncating and missense mutations modulate p53 levels. Further, intronic mutations, particularly polymorphisms in intron 4, which can affect the translation from the internal promoter, were associated with increased Δ133p53 levels. Differential expression of p53 and p53 isoforms was associated with the enrichment of sequence variants in p53 interactors , and . Taken together, these results underpin the complexity of p53 and p53 isoform regulation. Furthermore, given the growing evidence associating dysregulated levels of p53 isoforms with cancer progression, certain sequence variants that show strong links to p53 isoform expression may advance the field of prognostic biomarker study in breast cancer.
在乳腺癌中,p53 的表达水平比突变更能预测预后和化疗反应。已经描述了几种调节 p53 水平和功能的分子机制,包括 p53 亚型表达,这些机制可能导致 p53 活性失调和癌症预后更差。在这项研究中,通过靶向下一代测序对 137 例浸润性导管癌进行了 p53 通路的 和调节剂测序,并探讨了鉴定的序列变异与 p53 和 p53 亚型表达之间的关联。结果表明,肿瘤之间的 p53 亚型表达水平和 变异类型存在显著差异。我们已经表明,截断和错义突变调节 p53 水平。此外,内含子突变,特别是第 4 内含子中的多态性,可能影响从内部 启动子的翻译,与 Δ133p53 水平升高相关。p53 和 p53 亚型的差异表达与 p53 相互作用物 、 和 的序列变异富集有关。这些结果共同证明了 p53 和 p53 亚型调节的复杂性。此外,鉴于越来越多的证据表明 p53 亚型水平失调与癌症进展有关,某些与 p53 亚型表达密切相关的 序列变异可能会推动乳腺癌预后生物标志物研究领域的发展。