PDF(Pubmed)
Abstract：
UNASSIGNED: Anti-PD-1/PD-L1 inhibitors therapy has become a promising treatment for hepatocellular carcinoma (HCC), while the therapeutic efficacy varies significantly among effects for individual patients are significant difference. Unfortunately, specific predictive biomarkers indicating the degree of benefit for patients and thus guiding the selection of suitable candidates for immune therapy remain elusive.no specific predictive biomarkers are available indicating the degree of benefit for patients and thus screening the preferred population suitable for the immune therapy.
UNASSIGNED: Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS.
UNASSIGNED: A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy.
UNASSIGNED: This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.
UNASSIGNED: Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS.
UNASSIGNED: A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy.
UNASSIGNED: This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.
摘要：
■抗PD-1/PD-L1抑制剂疗法已成为肝细胞癌（HCC）的有希望的治疗方法，虽然疗效差异显著，但对个别患者的疗效差异显著。不幸的是,表明患者获益程度的特异性预测性生物标志物,从而指导选择合适的免疫疗法候选药物仍然难以捉摸.没有特异性的预测性生物标志物可用来指示患者的获益程度,从而筛选适合免疫疗法的优选人群.
■超高压液相色谱-质谱（UHPLC-MS）被认为是分析生物样品的重要方法，由于它具有快速的优点，高灵敏度,和高特异性。超高压液相色谱-质谱(UHPLC-MS)由于其固有的快速性优势,已成为分析生物样品的关键方法,灵敏度,和特异性。在这项研究中,通过UHPLC-MS鉴定了可以预测接受免疫治疗的HCC患者的治疗效果的潜在代谢物生物标志物。
■使用上述14种甘油磷脂代谢物建立了偏最小二乘判别分析（PLS-DA）模型，得到了较好的预测参数(R2=0.823,Q2=0.615,预测精度=0.880,p<0.001)。甘油磷脂代谢产物离子的相对丰度与接受免疫治疗的HCC患者的生存获益密切相关。
■这项研究表明，甘油磷脂代谢产物在预测HCC的免疫治疗效果中起着至关重要的作用。
■超高压液相色谱-质谱（UHPLC-MS）被认为是分析生物样品的重要方法，由于它具有快速的优点，高灵敏度,和高特异性。超高压液相色谱-质谱(UHPLC-MS)由于其固有的快速性优势,已成为分析生物样品的关键方法,灵敏度,和特异性。在这项研究中,通过UHPLC-MS鉴定了可以预测接受免疫治疗的HCC患者的治疗效果的潜在代谢物生物标志物。
■使用上述14种甘油磷脂代谢物建立了偏最小二乘判别分析（PLS-DA）模型，得到了较好的预测参数(R2=0.823,Q2=0.615,预测精度=0.880,p<0.001)。甘油磷脂代谢产物离子的相对丰度与接受免疫治疗的HCC患者的生存获益密切相关。
■这项研究表明，甘油磷脂代谢产物在预测HCC的免疫治疗效果中起着至关重要的作用。
