基于伪时间和时序时间的肝细胞癌轨迹甲基化特征用于预测癌前患者。

IF 4.8 2区 医学 Q1 ONCOLOGY
Oncologist Pub Date : 2024-11-26 DOI:10.1093/oncolo/oyae292
Kang Li, Chaoran Zang, Yanan Zhao, Dandan Guo, Wanting Shi, Tingting Mei, Ang Li, Yonghong Zhang
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引用次数: 0

摘要

背景:强烈建议乙型肝炎病毒(HBV)感染者及早筛查肝细胞癌(HCC)。我们旨在开发并验证一种基于 HCC 发生轨迹的预测提名图,用于筛查 HCC 癌前病变患者:方法:使用人类甲基化 EPIC BeadChip 检测法测量了 22 例 HCC 患者及其癌前病变阶段(n = 55)和 18 例健康对照者的外周血单核细胞(PBMC)样本。通过基于 TimeAx 算法的伪时间和时间顺序来评估 HCC 轨迹。从甲基化特征中选择了 43 个候选 CpG 位点,并使用多重亚硫酸氢盐测序法对回顾性 HBV 感染者队列(n = 604)进行了测量。根据每个 CpG 的甲基化水平与患者从入院到发生 HCC 的持续时间之间的关系,使用 LASSO Cox 回归模型建立了 5-CpG 分类器。我们在原始队列(300 人)和独立验证队列(304 人)中验证了该分类器的风险分层和预测准确性:HCC的伪时间和时间轨迹分析表明,PD-1/PD-L1通路在癌前病变阶段发生了变化。根据甲基化特征的轨迹,我们建立了5-CpG分类器,在对原发队列和独立验证队列进行临床病理风险因素分层分析后,该分类器仍具有强大的独立预测效率。经过多变量分析,构建了包括 5-CpG 分类器在内的预测提名图。HBV 感染者低危组和高危组的 HCC 一年累积危险度分别为 3.0%(0.1%-5.8%)和 17.90%(11.00%-24.3%):HCC发生前的一年是一个关键的过渡时期,在此期间,部分甲基化图谱会向HCC样转变。该提名图可以识别出癌前阶段的 HCC 患者,并对其进行筛查,以便早期诊断和干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The methylation signature of hepatocellular carcinoma trajectory based on pseudotime and chronological time for predicting precancerous patients.

Background: Early screening of hepatocellular carcinoma (HCC) is strongly recommended for hepatitis B virus (HBV)-infected patients. We aimed to develop and validate a predictive nomogram based on HCC occurrence trajectory for screening precancerous patients with HCC.

Methods: Peripheral blood mononuclear cells (PBMC) samples from 22 patients with HCC with their precancerous stage (n = 55) and 18 healthy controls were measured using HumanMethylation EPIC BeadChip assay. HCC trajectory was assessed by pseudotime based on TimeAx algorithm and chronological time. The 43 candidate CpG sites were selected from the methylation signature and measured using multiplex bisulfite sequencing in a retrospective cohort of HBV-infected patients (n = 604). A 5-CpG-classifier was built using the LASSO Cox regression model, based on the association between the methylation level of every CpG and the duration from enrollment to HCC occurrence of individual patient. We validated the risk stratification and predictive accuracy of this classifier in both the primary cohort (n = 300) and independent validation cohort (n = 304).

Results: Pseudotime and chronological time of HCC trajectory analysis revealed that the PD-1/PD-L1 pathway underwent changes in the precancerous stage. Based on the trajectory of methylation signature, we built a 5-CpG-classifier which remained powerful and independent predictive efficiency after stratified analysis by clinicopathological risk factors in both primary cohort and independent validation cohort. A predicting nomogram including the 5-CpG-classifier was constructed after multivariate analysis. One-year cumulative hazard of HCC in low- and high-risk groups of HBV-infected patients was 3.0% (0.1%-5.8%) and 17.90% (11.00%-24.3%) (P < .0001) in primary cohort, 4.5% (1.20%-7.80%) and 27.3 (18.90-34.90) (P < .0001) in the independent validation cohort.

Conclusions: One-year before HCC was a critical period of transitional time when parts of the methylation profile underwent shifting toward HCC like. The nomogram could identify precancerous stage patients with HCC who should be screened for early diagnosis and intervention.

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来源期刊
Oncologist
Oncologist 医学-肿瘤学
CiteScore
10.40
自引率
3.40%
发文量
309
审稿时长
3-8 weeks
期刊介绍: The Oncologist® is dedicated to translating the latest research developments into the best multidimensional care for cancer patients. Thus, The Oncologist is committed to helping physicians excel in this ever-expanding environment through the publication of timely reviews, original studies, and commentaries on important developments. We believe that the practice of oncology requires both an understanding of a range of disciplines encompassing basic science related to cancer, translational research, and clinical practice, but also the socioeconomic and psychosocial factors that determine access to care and quality of life and function following cancer treatment.
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