Suppr超能文献

恶性黑色素瘤新型液体活检 CNV 生物标志物。

Novel liquid biopsy CNV biomarkers in malignant melanoma.

机构信息

Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.

Geneton Ltd., Bratislava, Slovakia.

出版信息

Sci Rep. 2024 Jul 9;14(1):15786. doi: 10.1038/s41598-024-65928-y.

Abstract

Malignant melanoma (MM) is known for its abundance of genetic alterations and a tendency for rapid metastasizing. Identification of novel plasma biomarkers may enhance non-invasive diagnostics and disease monitoring. Initially, we examined copy number variations (CNV) in CDK genes (CDKN2A, CDKN2B, CDK4) using MLPA (gDNA) and ddPCR (ctDNA) analysis. Subsequently, low-coverage whole genome sequencing (lcWGS) was used to identify the most common CNV in plasma samples, followed by ddPCR verification of chosen biomarkers. CNV alterations in CDK genes were identified in 33.3% of FFPE samples (Clark IV, V only). Detection of the same genes in MM plasma showed no significance, neither compared to healthy plasmas nor between pre- versus post-surgery plasma. Sequencing data showed the most common CNV occurring in 6q27, 4p16.1, 10p15.3, 10q22.3, 13q34, 18q23, 20q11.21-q13.12 and 22q13.33. CNV in four chosen genes (KIF25, E2F1, DIP2C and TFG) were verified by ddPCR using 2 models of interpretation. Model 1 was concordant with lcWGS results in 54% of samples, for model 2 it was 46%. Although CDK genes have not been proven to be suitable CNV liquid biopsy biomarkers, lcWGS defined the most frequently affected chromosomal regions by CNV. Among chosen genes, DIP2C demonstrated a potential for further analysis.

摘要

恶性黑色素瘤 (MM) 以其丰富的遗传改变和快速转移的倾向而闻名。鉴定新的血浆生物标志物可能会增强非侵入性诊断和疾病监测。最初,我们使用 MLPA(gDNA)和 ddPCR(ctDNA)分析检查了 CDK 基因(CDKN2A、CDKN2B、CDK4)的拷贝数变异 (CNV)。随后,使用低覆盖度全基因组测序 (lcWGS) 来识别血浆样本中最常见的 CNV,然后使用 ddPCR 验证选定的生物标志物。在 33.3%的 FFPE 样本(仅 Clark IV、V)中鉴定出 CDK 基因的 CNV 改变。在 MM 血浆中检测到相同的基因没有意义,无论是与健康血浆相比,还是与术前和术后血浆相比。测序数据显示最常见的 CNV 发生在 6q27、4p16.1、10p15.3、10q22.3、13q34、18q23、20q11.21-q13.12 和 22q13.33。使用两种解释模型通过 ddPCR 验证了四个选定基因(KIF25、E2F1、DIP2C 和 TFG)中的 CNV。模型 1 在 54%的样本中与 lcWGS 结果一致,模型 2 的一致性为 46%。尽管 CDK 基因尚未被证明是合适的 CNV 液体活检生物标志物,但 lcWGS 定义了最常受 CNV 影响的染色体区域。在所选择的基因中,DIP2C 显示出进一步分析的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d32e/11233564/f04b29e3dcef/41598_2024_65928_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验