Lu Chang-Yi, Hsiao Chih-Yang, Peng Pey-Jey, Huang Shao-Chang, Chuang Meng-Rong, Su Hung-Ju, Huang Kai-Wen
Phalanx Biotech Group, Hsinchu 300, Taiwan.
Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan.
Cancers (Basel). 2023 Sep 7;15(18):4465. doi: 10.3390/cancers15184465.
Alfa-fetoprotein (AFP), as the main serum tumor marker of hepatocellular carcinoma (HCC), is limited in terms of specificity and ability to predict outcomes. This study investigated the clinical utility of DNA methylation biomarkers to predict therapeutic responses and prognosis in intermediate-stage HCC.
This study enrolled 72 patients with intermediate-stage HCC who underwent locoregional therapy (LRT) between 2020 and 2021. The immediate therapeutic response and disease status during a two-year follow-up were recorded. Analysis was performed on 10 selected DNA methylation biomarkers via pyrosequencing analysis of plasma collected before and after LRT.
Analysis was performed on 53 patients with complete responses and 19 patients with disease progression after LRT. The mean follow-up duration was 2.4 ± 0.6 years. A methylation prediction model for tumor response (MMTR) and a methylation prediction model for early progression (MMEP) were constructed. The area under the curve (AUC) for sensitivity and specificity of MMTR was 0.79 for complete response and 0.759 for overall survival. The corresponding AUCs for sensitivity and specificity of AFP and protein induced by vitamin K absence-II (PIVKA-II) were 0.717 and 0.708, respectively. Note that the MMTR index was the only significant predictor in multivariate analysis. The AUC for sensitivity and specificity of the MMEP in predicting early progression was 0.79. The corresponding AUCs for sensitivity and specificity of AFP and PIVKA-II were 0.758 and 0.714, respectively. Multivariate analysis revealed that platelet count, beyond up-to-7 criteria, and the MMEP index were strongly correlated with early tumor progression. Combining the indexes and serum markers further improved the predictive accuracy (AUC = 0.922). Multivariate analysis revealed the MMEP index was the only independent risk factor for overall survival.
DISCUSSION/CONCLUSIONS: This study indicates that these methylation markers could potentially outperform current serum markers in terms of accuracy and reliability in assessing treatment response and predicting outcomes. Combining methylation markers and serum markers further improved predictive accuracy, indicating that a multi-marker approach may be more effective in clinical practice. These findings suggest that DNA methylation biomarkers may be a useful tool for managing intermediate-stage HCC patients and guiding personalized treatment, particularly for those who are at high risk for close surveillance or adjuvant treatment after LRT.
甲胎蛋白(AFP)作为肝细胞癌(HCC)的主要血清肿瘤标志物,在特异性和预测预后能力方面存在局限性。本研究调查了DNA甲基化生物标志物在预测中期HCC治疗反应和预后方面的临床效用。
本研究纳入了72例在2020年至2021年间接受局部区域治疗(LRT)的中期HCC患者。记录了即时治疗反应和两年随访期间的疾病状态。通过对LRT前后采集的血浆进行焦磷酸测序分析,对10个选定的DNA甲基化生物标志物进行了分析。
对LRT后53例完全缓解患者和19例疾病进展患者进行了分析。平均随访时间为2.4±0.6年。构建了肿瘤反应甲基化预测模型(MMTR)和早期进展甲基化预测模型(MMEP)。MMTR的完全缓解敏感性和特异性曲线下面积(AUC)分别为0.79,总生存的AUC为0.759。AFP和维生素K缺乏诱导蛋白-II(PIVKA-II)的敏感性和特异性相应AUC分别为0.717和0.708。注意,MMTR指数是多变量分析中唯一显著的预测因子。MMEP预测早期进展的敏感性和特异性AUC为0.79。AFP和PIVKA-II的敏感性和特异性相应AUC分别为0.758和0.