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SEPTIN9-SDC2-VIM methylation signature as a biomarker for the early diagnosis of colorectal cancer.
Yuan, Rong-Qiang; Zhao, Hui; Wang, Yan; Song, Kai; Yang, Jia; He, Wei; Miao, Da-Zhuang; Wang, Qi; Jia, Yun-He.
Afiliação
  • Yuan RQ; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University Harbin 150086, Heilongjiang, China.
  • Zhao H; The First Affiliated Hospital, Harbin Medical University Harbin 150001, Heilongjiang, China.
  • Wang Y; Harbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
  • Song K; Zhuhai Interventional Medical Center, Zhuhai Precision Medical Center, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University Zhuhai 519000, Guangdong, China.
  • Yang J; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University Harbin 150086, Heilongjiang, China.
  • He W; Harbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
  • Miao DZ; Harbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
  • Wang Q; Harbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
  • Jia YH; Harbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
Am J Cancer Res ; 12(7): 3128-3140, 2022.
Article em En | MEDLINE | ID: mdl-35968354
ABSTRACT
The accurate detection of colorectal cancer (CRC) at its initial stage can reduce mortality. However, the broad application of endoscopy has been limited due to the invasive procedure and patient noncompliance. Liquid biopsy with subsequent mapping of methylation in specific cell-free DNA (cfDNA) may represent an alternative approach for early diagnosis. In this study, we have developed a minimal-invasive blood-based test for detection of precancerous lesions and early-stage CRC. Using TCGA M450K methylation data, we identified candidate methylation sites with the highest Fold Change (FC) for three genes (SEPTIN9, SDC2 and VIM), which were selected from previous studies. Based on logistic regression models, we developed a 3-gene methylation signature for CRC diagnosis with high accuracy (Sensitivity =0.959, Specificity =1, AUC =0.997). Using independent public databases and data from blood samples, this model has demonstrated superior performance. The AUC was 0.919-1 and 0.905-0.916 in public tissue database for CRC and blood sample data, respectively. Thus, our proposed 3-gene methylation signature has a more reliable performance than other methods. Furthermore, signal enhancement effect of 3-gene methylation signature can improve the accuracy of early diagnosis for CRC, which demonstrates the potential for clinical application.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article