发现和验证一种新的双靶点血液检测,用于检测肝硬化分期的肝细胞癌。

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Wenhao Teng, Hui Li, Hao Yang, Yu Chen, Liying Xi, Fuli Xin, Aiyuan Zhang, Lihui Yu, Lu Zheng, Ming Wang, Jian Bai, Fayong Ke, Yin Wang, Fuming Sun, Hui Zhang, Lin Wu, Jingfeng Liu
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引用次数: 0

摘要

背景:肝细胞癌(HCC)是最常见的肿瘤之一。早期发现HCC有助于提高患者的5年生存率。我们的目标是鉴定优质的甲基化生物标志物,以开发甲基化特异性定量PCR (MS-qPCR)测定。方法:一项五期病例对照研究通过捕获测序、TCGA/RNA-seq过滤、技术(MS-qPCR/Sanger)和生物学(四联MS-qPCR)验证鉴定HCC甲基化生物标志物。通过组织发现队列(43例HCC, 32例正常)选择基于甲基化表达差异的甲基化生物标志物,并在血浆验证队列(1期:53例HCC, 52例肝硬化,20例良性,50例健康;二期:HCC 67例,肝硬化81例)。然后,将最终检测的HCC检测性能与现有的基于血液的监测方法进行比较。结果:鉴定出两个甲基化基因OSR2和TSPYL5,以及一个新的内参基因SDF4,并建立了MS-qPCR方法Qliver。Qliver的AUC为0.955(95%置信区间:0.924—-0.987)区分肝癌患者non-HCC病人在第一阶段等离子群,敏感性为88.68% (95% CI: 76.97% - -95.73%),特异性为89.34% (95% CI: 82.47% - -94.20%),和0.958(95%置信区间:0.927—-0.989)区分肝癌患者从第二阶段的肝硬化患者血浆队列,敏感性为88.06% (95% CI: 77.82% - -94.70%),特异性为92.59% (95% CI: 84.57% - -97.23%)。在1期+血浆2期队列中,Qliver在健康人群、肝硬化患者和良性肝病患者中检测HCC的AUC至少为0.958,优于GALAD评分(AUC: 0.777 ~ 0.849)。对于BCLC 0期和A期HCC患者,Qliver的敏感性为62.50% (95% CI: 24.49% ~ 91.48%) ~ 72.73%(39.03% ~ 93.98%),特异性为90%。总体而言,Qliver在肝硬化史、肿瘤分期、肿瘤大小和肿瘤计数方面均优于AFP、AFP- l3、DCP和GALAD评分。结论:与目前广泛使用的血液生物标志物相比,Qliver在检测HCC方面表现优异,提示其在高危人群HCC监测中的潜在临床益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovery and validation of a novel dual-target blood test for the detection of hepatocellular carcinoma across stages from cirrhosis.

Background: Hepatocellular carcinoma (HCC) is one of the most common cancers. Early detection of HCC helps improve the patients' 5-year survival rate. Our goal was to identify superior methylation biomarkers to develop a methylation-specific quantitative PCR (MS‒qPCR) assay.

Methods: A five-phase case-control study identified HCC methylation biomarkers via capture sequencing, TCGA/RNA-seq filtering, technical (MS-qPCR/Sanger) and biological (quadruplex MS-qPCR) validation. Methylated biomarkers were selected based on differential methylation expression using a tissue discovery cohort (43 HCC, 32 normal) and validated in plasma validation cohorts (Phase 1: 53 HCC, 52 cirrhosis, 20 benign, 50 healthy; Phase 2: 67 HCC, 81 cirrhosis). Then, the final assay's HCC detection performance was compared with existing blood-based surveillance methods.

Results: Two methylated genes, OSR2 and TSPYL5, and a novel internal reference gene, SDF4, were identified and developed into an MS‒qPCR assay named Qliver. Qliver had an AUC of 0.955 (95% CI: 0.924-0.987) for distinguishing HCC patients from non-HCC patients in the Phase 1 plasma cohort, with a sensitivity of 88.68% (95% CI: 76.97%-95.73%) and a specificity of 89.34% (95% CI: 82.47%-94.20%), and 0.958 (95% CI: 0.927-0.989) for distinguishing HCC patients from cirrhosis patients in the Phase 2 plasma cohort, with a sensitivity of 88.06% (95% CI: 77.82%-94.70%) and a specificity of 92.59% (95% CI: 84.57%-97.23%). For the Phase 1 plus Plasma 2 cohort, Qliver had an AUC of at least 0.958 for detecting HCC in healthy individuals, cirrhosis patients and patients with benign liver diseases, which was superior to that of the GALAD score (AUC: 0.777 to 0.849). For BCLC stage 0 and A HCC patients, the sensitivity of Qliver ranged from 62.50% (95% CI: 24.49%-91.48%) to 72.73% (39.03%-93.98%), with a specificity of 90%. Overall, Qliver was superior to the AFP, AFP-L3, DCP and the GALAD score in terms of cirrhosis history, tumor stage, tumor size and tumor count.

Conclusions: Qliver demonstrated superior performance in detecting HCC compared with currently widely used blood biomarkers, suggesting its potential clinical benefit in HCC surveillance in high-risk populations.

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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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