Plasma DNA methylation detection for early screening, diagnosis, and monitoring of esophageal adenocarcinoma and squamous cell carcinoma

• Published in: World journal of gastroenterology : WJG 2024-11, Vol.30 (43), p.4609-4619
• Main Authors: Liu, Xu-Ji, Pi, Guo-Liang, Wang, Sheng, Kai, Jin-Dan, Yu, Hui-Fang, Shi, Hong-Wei, Yu, Jing, Zeng, Hui
• Format: Article
• Language: English
• Subjects: Adenocarcinoma - blood; Adenocarcinoma - diagnosis; Adenocarcinoma - genetics; Adult; Aged; Biomarkers, Tumor - blood; Biomarkers, Tumor - genetics; Carcinoma, Squamous Cell - blood; Carcinoma, Squamous Cell - diagnosis; Carcinoma, Squamous Cell - genetics; DNA Methylation; Early Detection of Cancer - methods; Esophageal Neoplasms - blood; Esophageal Neoplasms - diagnosis; Esophageal Neoplasms - genetics; Esophageal Squamous Cell Carcinoma - blood; Esophageal Squamous Cell Carcinoma - diagnosis; Esophageal Squamous Cell Carcinoma - genetics; Female; Homeodomain Proteins - blood; Homeodomain Proteins - genetics; Humans; Male; Middle Aged; Retrospective Study; Risk Factors; Sensitivity and Specificity; Septins - blood; Septins - genetics; Ubiquitin-Protein Ligases - blood; Ubiquitin-Protein Ligases - genetics
• ISSN: 1007-9327; 2219-2840; 2219-2840
• DOI: 10.3748/wjg.v30.i43.4609

The early diagnosis rate of esophageal cancer (EC), one of the most prevalent digestive tract cancers worldwide, remains low. To investigate the utility of plasma , , , and methylation in the clinical diagnosis and monitoring of EC. Plasma samples were collected from 210 patients at Hubei Cancer Hospital, and TaqMan polymerase chain reaction was employed to detect plasma , , , and methylation. The area under the curve was used to estimate their diagnostic value for EC. Cox and logistic regression analyses were used to estimate the independent screening risk factors for patients with EC. The sensitivity and specificity of combined assessment of plasma , , , and methylation for adenocarcinoma, squamous cell carcinoma (SCC), and EC detection were 66.67% and 86.27%, 77.40% and 85.29%, and 76.19% and 86.27%, respectively; the area under the curve values for diagnosing adenocarcinoma, SCC, and EC were 0.737 [95% confidence interval (CI): 0.584-0.89], 0.824 (95%CI: 0.775-0.891), and 0.864 (95%CI: 0.809-0.92), respectively. According to our findings, plasma , , , and methylation exhibits appreciated sensitivity for diagnosing EC. The precise measurement of plasma , , , and methylation can improve EC diagnosis and therapy efficacy monitoring.