肺癌
DNA甲基化
生物标志物
肿瘤科
甲基化
内科学
医学
阶段(地层学)
癌症
表观遗传学
肺
分子生物标志物
外体
队列
病理
生物
小RNA
DNA
基因表达
微泡
基因
生物化学
古生物学
遗传学
作者
Chinbayar Bat‐Ochir,In Ae Kim,Eun Ji Jo,Eun-Bi Kim,Hee Joung Kim,Jae Young Hur,Do Won Kim,Heekyung Park,Kye Young Lee
出处
期刊:Cancers
[MDPI AG]
日期:2024-08-05
卷期号:16 (15): 2765-2765
标识
DOI:10.3390/cancers16152765
摘要
Benign lung diseases are common and often do not require specific treatment, but they pose challenges in the distinguishing of them from lung cancer during low-dose computed tomography (LDCT). This study presents a comprehensive methylation analysis using real-time PCR for minimally invasive diagnoses of lung cancer via employing BALF exosome DNA. A panel of seven epigenetic biomarkers was identified, exhibiting specific methylation patterns in lung cancer BALF exosome DNA. This panel achieved an area under the curve (AUC) of 0.97, with sensitivity and specificity rates of 88.24% and 97.14%, respectively. Each biomarker showed significantly higher mean methylation levels (MMLs) in both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) compared to non-cancer groups, with fold changes from 1.7 to 13.36. The MMLs of the biomarkers were found to be moderately elevated with increasing patient age and smoking history, regardless of sex. A strong correlation was found between the MMLs and NSCLC stage progression, with detection sensitivities of 79% for early stages and 92% for advanced stages. In the validation cohort, the model demonstrated an AUC of 0.95, with 94% sensitivity and specificity. Sensitivity for early-stage NSCLC detection improved from 88.00% to 92.00% when smoking history was included as an additional risk factor.
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