Wei Lilong, Xiao Rui, Guo Zhengguang, Wang Pengpeng, Zhao Kexin, Zhou Yun, Sun Wei, Cao Yongtong
Department of Clinical Laboratory Center, China-Japan Friendship Hospital, Beijing, China.
Beijing University of Posts and Telecommunications Hospital, Beijing University of Posts and Telecommunications, Beijing, China.
Front Oncol. 2025 Apr 8;15:1551247. doi: 10.3389/fonc.2025.1551247. eCollection 2025.
Accurately differentiating benign and malignant lesions is essential for treatment. We aimed to determine differences in urine proteomics between papillary thyroid carcinomas (PTCs) and benign thyroid nodules (BTNs) and identify biomarkers for the differential diagnosis of these diseases.
We collected 155 specimens. In the discovery group, 30 PTC and 31 BTN specimens were quantitatively compared using liquid chromatography-tandem mass spectrometry (MS). The diagnostic value of each significantly altered protein was calculated in the MS validation comprising 11 PTC and 10 BTN samples. Ultimately, 36 BTN and 37 PTC specimens were used for ELISA validation.
Overall, 2,479 proteins were used for quantitative analysis. Compared with benign nodules, papillary carcinomas showed significant increases and decreases in the levels of 169 and 27 proteins, respectively. Neck and thyroid tumors were enriched in the disease or function category. More than 100 proteins showed good performance in the area under the receiver operating characteristic curve (>0.8) upon MS validation. Semaphorin-6D showed good performance (AUC = 0.763) in ELISA validation. Urine proteomics is an effective diagnostic tool for distinguishing benign and malignant thyroid diseases. Semaphorin-6D may serve as a disease marker for large-scale validation and use. Additionally, this study identified potential biomarkers that warrant further investigation.
准确区分良性和恶性病变对治疗至关重要。我们旨在确定甲状腺乳头状癌(PTC)和良性甲状腺结节(BTN)之间尿液蛋白质组学的差异,并识别用于这些疾病鉴别诊断的生物标志物。
我们收集了155份标本。在发现组中,使用液相色谱 - 串联质谱(MS)对30份PTC和31份BTN标本进行定量比较。在包含11份PTC和10份BTN样本的MS验证中计算每种显著改变的蛋白质的诊断价值。最终,36份BTN和37份PTC标本用于ELISA验证。
总体而言,2479种蛋白质用于定量分析。与良性结节相比,乳头状癌分别在169种和27种蛋白质水平上有显著增加和减少。颈部和甲状腺肿瘤在疾病或功能类别中富集。超过100种蛋白质在MS验证后的受试者工作特征曲线下面积(>0.8)方面表现良好。信号素-6D在ELISA验证中表现良好(AUC = 0.763)。尿液蛋白质组学是区分良性和恶性甲状腺疾病的有效诊断工具。信号素-6D可能作为大规模验证和使用的疾病标志物。此外,本研究确定了值得进一步研究的潜在生物标志物。