Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Department of Thyroid and Breast Surgery, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huaian, China.
Epigenetics. 2024 Dec;19(1):2352683. doi: 10.1080/15592294.2024.2352683. Epub 2024 May 9.
Some benign and malignant breast tumours are similar in pathological morphology, which are difficult to be distinguished in clinical diagnosis. In this study, we intended to explore novel biomarkers for differential diagnosis of benign and malignant breast tumours. Methylation EPIC 850K beadchip and RNA-sequencing were used to analyse 29 tissue samples from patients with early-stage breast cancer (BC) and benign breast tumours for differently methylated and expressed genes. The altered methylation of was semi-quantitatively validated in an independent study with 566 tissue samples (279 BC vs. 287 benign breast tumours) using mass spectrometry. Binary logistic regression analysis was performed to evaluate the association between methylation and BC. BC-associated hypomethylation and overexpression were identified in the discovery round. In the validation round, BC patients presented significant hypomethylation compared to women with benign breast tumours (ORs ≥1.29 per-10% methylation, values ≤ 5.69E-14), and this hypomethylation was even enhanced in BC patients with ER-negative and PR-negative tumours as well as with triple-negative tumours. The methylation of showed efficient discriminatory power to distinguish benign breast tumours from BC (area under curve (AUC) = 0.88), and especially from ER-negative BC (AUC = 0.95), PR-negative BC (AUC = 0.93) and triple-negative BC (AUC = 0.96). We disclosed significant hypomethylation in patients with BC compared to women with benign breast tumours, and revealed the somatic change of DNA methylation could be a potential biomarker for molecular pathology of BC.
一些良性和恶性乳腺肿瘤在病理形态上相似,在临床诊断中难以区分。在这项研究中,我们旨在探索用于鉴别诊断良性和恶性乳腺肿瘤的新型生物标志物。使用甲基化 EPIC 850K 珠芯片和 RNA 测序分析了 29 个来自早期乳腺癌(BC)和良性乳腺肿瘤患者的组织样本,以分析差异甲基化和表达的基因。使用质谱法在包含 566 个组织样本(279 个 BC 与 287 个良性乳腺肿瘤)的独立研究中对半定量验证了 的改变甲基化。采用二元逻辑回归分析评估 甲基化与 BC 之间的关联。在发现阶段鉴定出 BC 相关的 低甲基化和过表达。在验证阶段,与良性乳腺肿瘤患者相比,BC 患者表现出显著的 低甲基化(每 10%甲基化增加的 OR 为 1.29,值为 5.69E-14),在 ER 阴性和 PR 阴性肿瘤以及三阴性肿瘤的 BC 患者中,这种低甲基化甚至更强。 的甲基化能够有效地区分良性乳腺肿瘤和 BC(曲线下面积(AUC)= 0.88),尤其是 ER 阴性 BC(AUC=0.95)、PR 阴性 BC(AUC=0.93)和三阴性 BC(AUC=0.96)。与良性乳腺肿瘤患者相比,BC 患者中存在显著的 低甲基化,揭示了体细胞 DNA 甲基化改变可能是 BC 分子病理学的潜在生物标志物。