表观遗传学
表观遗传学
DNA甲基化
癌症
前列腺癌
癌变
生物标志物
生物信息学
医学
肿瘤科
生物
计算生物学
内科学
遗传学
基因
基因表达
作者
Alessandro Leal,David Sidransky,Mariana Brait
出处
期刊:Clinical Chemistry
[American Association for Clinical Chemistry]
日期:2019-12-16
卷期号:66 (1): 105-116
被引量:37
标识
DOI:10.1373/clinchem.2019.303594
摘要
Abstract BACKGROUND Over 9 million people die of cancer each year worldwide, reflecting the unmet need for effective biomarkers for both cancer diagnosis and prognosis. Cancer diagnosis is complex because the majority of malignant tumors present with long periods of latency and lack of clinical presentation at early stages. During carcinogenesis, premalignant cells experience changes in their epigenetic landscapes, such as differential DNA methylation, histone modifications, nucleosome positioning, and higher orders of chromatin changes that confer growth advantage and contribute to determining the biologic phenotype of human cancers. CONTENT Recent progress in microarray platforms and next-generation sequencing approaches has allowed the characterization of abnormal epigenetic patterns genome wide in a large number of cancer cases. The sizable amount of processed data also comes with challenges regarding data management and assessment for effective biomarker exploration to be further applied in prospective clinical trials. Epigenetics-based single or panel tests of genes are being explored for clinical management to fulfill unmet needs in oncology. The advance of these tests to the clinical routine will depend on rigorous, extensive, and independent validation in well-annotated cohort of patients and commercial development of clinical routine–friendly and adequate procedures. SUMMARY In this review we discuss the analytic validation of tissue and cell-free DNA-based epigenomic approaches for early cancer detection, diagnosis, and treatment monitoring and the clinical utility of candidate epigenetic alterations applied to colorectal, glioblastoma, breast, prostate, bladder, and lung cancer management.
科研通智能强力驱动
Strongly Powered by AbleSci AI