Evidence map›Paper›PMID 35968354›Full record

ArticleAmerican journal of cancer research2022

SEPTIN9-SDC2-VIM methylation signature as a biomarker for the early diagnosis of colorectal cancer.

Rong-Qiang Yuan, Hui Zhao, Yan Wang, Kai Song, Jia Yang, Wei He, Da-Zhuang Miao, Qi Wang, Yun-He Jia

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Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Rong-Qiang YuanDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University Harbin 150086, Heilongjiang, China.
Hui ZhaoThe First Affiliated Hospital, Harbin Medical University Harbin 150001, Heilongjiang, China.
Yan WangHarbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
Kai SongZhuhai Interventional Medical Center, Zhuhai Precision Medical Center, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University Zhuhai 519000, Guangdong, China.
Jia YangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University Harbin 150086, Heilongjiang, China.
Wei HeHarbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
Da-Zhuang MiaoHarbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
Qi WangHarbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.
Yun-He JiaHarbin Medical University Cancer Hospital Colorectal Cancer Center Harbin 150086, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CRCDNA methylationearly diagnosisepigenetic biomarkerliquid biopsy

Identifiers

PMID35968354
PMCPMC9360219

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.