Zhipeng Pan , Guoqing Li , Hanqing Wu , Faming Pan
{"title":"结直肠癌循环肿瘤DNA甲基化:荟萃分析。","authors":"Zhipeng Pan , Guoqing Li , Hanqing Wu , Faming Pan","doi":"10.1016/j.cca.2025.120543","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>To synthetically evaluate the diagnostic performance of circulating tumor DNA (ctDNA) methylation for colorectal cancer (CRC).</div></div><div><h3>Methods</h3><div>Relevant articles published before March 4, 2025 were searched. The pooled sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio (DOR), and the areas under the summary receiver operating characteristic curve (AUC) were calculated. Subgroup analysis and <em>meta</em>-regression were used to evaluate potential sources of heterogeneity.</div></div><div><h3>Results</h3><div>Totally, 147 articles containing 15,133 CRC patients were included in this <em>meta</em>-analysis. The pooled sensitivity, specificity and DOR of ctDNA methylation were 0.655, 0.902 and 20.662, respectively, yielding an AUC of 0.8851. Meanwhile, the combination of ctDNA methylation and carcinoembryonic antigen (CEA) achieved an AUC of 0.9269, with a sensitivity of 0.804, with a specificity of 0.904. Subgroup and <em>meta</em>-regression analyses indicated that the diagnostic value of multiple genes (AUC = 0.9059) and digital PCR assay (AUC = 0.8907) was higher than that of single gene and other assays. Gene dosage and detection method might be the sources of heterogeneity. There was no publication bias among these articles.</div></div><div><h3>Conclusion</h3><div>The overall performance of ctDNA methylation had great diagnostic accuracy for the early screening and diagnosis of CRC, especially after combining with CEA, but many open questions remain before clinical application.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"578 ","pages":"Article 120543"},"PeriodicalIF":2.9000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Circulating tumor DNA methylation in colorectal cancer: a meta-analysis\",\"authors\":\"Zhipeng Pan , Guoqing Li , Hanqing Wu , Faming Pan\",\"doi\":\"10.1016/j.cca.2025.120543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>To synthetically evaluate the diagnostic performance of circulating tumor DNA (ctDNA) methylation for colorectal cancer (CRC).</div></div><div><h3>Methods</h3><div>Relevant articles published before March 4, 2025 were searched. The pooled sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio (DOR), and the areas under the summary receiver operating characteristic curve (AUC) were calculated. Subgroup analysis and <em>meta</em>-regression were used to evaluate potential sources of heterogeneity.</div></div><div><h3>Results</h3><div>Totally, 147 articles containing 15,133 CRC patients were included in this <em>meta</em>-analysis. The pooled sensitivity, specificity and DOR of ctDNA methylation were 0.655, 0.902 and 20.662, respectively, yielding an AUC of 0.8851. Meanwhile, the combination of ctDNA methylation and carcinoembryonic antigen (CEA) achieved an AUC of 0.9269, with a sensitivity of 0.804, with a specificity of 0.904. Subgroup and <em>meta</em>-regression analyses indicated that the diagnostic value of multiple genes (AUC = 0.9059) and digital PCR assay (AUC = 0.8907) was higher than that of single gene and other assays. Gene dosage and detection method might be the sources of heterogeneity. There was no publication bias among these articles.</div></div><div><h3>Conclusion</h3><div>The overall performance of ctDNA methylation had great diagnostic accuracy for the early screening and diagnosis of CRC, especially after combining with CEA, but many open questions remain before clinical application.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"578 \",\"pages\":\"Article 120543\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S000989812500422X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000989812500422X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Circulating tumor DNA methylation in colorectal cancer: a meta-analysis
Objectives
To synthetically evaluate the diagnostic performance of circulating tumor DNA (ctDNA) methylation for colorectal cancer (CRC).
Methods
Relevant articles published before March 4, 2025 were searched. The pooled sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio (DOR), and the areas under the summary receiver operating characteristic curve (AUC) were calculated. Subgroup analysis and meta-regression were used to evaluate potential sources of heterogeneity.
Results
Totally, 147 articles containing 15,133 CRC patients were included in this meta-analysis. The pooled sensitivity, specificity and DOR of ctDNA methylation were 0.655, 0.902 and 20.662, respectively, yielding an AUC of 0.8851. Meanwhile, the combination of ctDNA methylation and carcinoembryonic antigen (CEA) achieved an AUC of 0.9269, with a sensitivity of 0.804, with a specificity of 0.904. Subgroup and meta-regression analyses indicated that the diagnostic value of multiple genes (AUC = 0.9059) and digital PCR assay (AUC = 0.8907) was higher than that of single gene and other assays. Gene dosage and detection method might be the sources of heterogeneity. There was no publication bias among these articles.
Conclusion
The overall performance of ctDNA methylation had great diagnostic accuracy for the early screening and diagnosis of CRC, especially after combining with CEA, but many open questions remain before clinical application.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.