Objective: To explore the effect of TP53 mutation variant allele frequency(VAF) on the prognosis of diffuse large B-cell lymphoma(DLBCL) patients.
Methods: This study included 155 patients with DLBCL who were first diagnosed in the People's Hospital of Xinjiang Uygur Autonomous Region from March 2009 to March 2022. Complete clinical data and paraffin-embedded tumor tissue samples were obtained, and DNA was extracted from tumor tissues. The gene mutation profile of DLBCL patients was detected and analyzed by second-generation sequencing technology. Kaplan-Meier method was used to analyze the mutation status of TP53 gene and the relationship between mutation VAF and OS. Cox regression univariate and multivariate analysis was use to analyze the independent factors affecting OS. A nornogram model for predicting 1, 3, and 5 years OS in DLBCL patients were established to evaluated the performance of the model based on C-index and calibration curves.
Results: The average value of TP53 mutation VAF in male DLBCL patients was significantly higher than that in female patients (P < 0.05). Patients with TP53 mutantion had shorter OS than those with wild-type patients (P =0.030). The optimal VAF threshold for TP53 mutation based on OS stratification was 33.61% (P < 0.001), and patients with TP53 mutation VAF ≥34% had shorter OS than those with TP53 mutation VAF < 34% and wild-type patients (P < 0.001). Multivariate Cox analysis showed that TP53 mutation VAF≥34% was an independent poor predictor of OS ( HR =4.05, P < 0.001), and IPI score ≥3 was an independent predictor of OS poor ( HR =2.27, P =0.008). In combination with factors with independent prognostic significance obtained from multi-factor analysis, we constructed a nomogram model for predicting 1-year, 3-year, 5-year OS in DLBCL patients. The results showed that the C index of TP53 mutation VAF combined with IPI model was 0.743, which predicted the value of 1-year, 3-year, and 5-year OS in DLBCL patients. Calibration curves show that the model has good agreement between predicted and actual survival of DLBCL patients at 1-year, 3-year, and 5-year.
Conclusion: TP53 mutation VAF has prognostic value in DLBCL patients, and TP53 mutation VAF≥34% is an independent risk factor for OS in DLBCL patients. The prognosis model of TP53 mutation VAF combined with IPI nomogram constructed in this study has good predictive performance for DLBCL patients.
题目: TP53 突变变异等位基因频率在弥漫性大B细胞淋巴瘤中的预后价值研究.
目的: 探索TP53突变变异等位基因频率(VAF)对DLBCL患者预后的影响。.
方法: 回顾性分析2009年3月至2022年3月在新疆维吾尔自治区人民医院初次诊断的155例DLBCL患者,获取完整的临床资料及石蜡包埋的肿瘤组织标本,肿瘤组织中提取DNA,利用二代测序技术检测并分析DLBCL患者基因突变谱。Kaplan-Meier法分析TP53基因突变状态及突变VAF与OS的关系。Cox回归单因素和多因素预后分析影响OS的独立因素。建立预测DLBCL患者1、3和5年OS的列线图,通过C-指数及校准曲线预测模型的预测性能。.
结果: 男性患者DLBCL的TP53突变VAF平均值明显高于女性患者(P < 0.05)。TP53突变型患者较野生型的患者的OS缩短(P =0.030);基于OS分层的TP53突变的最佳VAF临界值为33.61%(P < 0.001),且TP53突变VAF≥34%患者OS的显著短于TP53突变VAF< 34%及TP53野生型患者(P < 0.001)。多因素Cox分析发现TP53 突变VAF≥34%( HR =4.05, P < 0.001)、IPI评分≥3( HR =2.27, P =0.008)是DLBCL患者OS的独立不良预测因素。结合多因素分析得到的具有独立预后意义的因素,构建了DLBCL患者1年、3年、5年OS的诺模列线图模型,TP53突变VAF联合IPI模型的C指数为0.743,该模型预测DLBCL患者1、3和5年OS具有较高的预测准确性。校准曲线分析表明该模型在预测DLBCL患者1、3和5年OS方面与实际生存之间具有良好的一致性。.
结论: TP53突变VAF在DLBCL患者中具有预后预测价值,TP53突变VAF≥34%是影响DLBCL患者OS的独立危险因素。本研究构建的TP53突变VAF联合IPI列线图预后模型对DLBCL患者预后具有较好的预测性能。.
Keywords: diffuse large B-cell lymphoma; gene mutation; variant allele frequency; prognosis.