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Mutant-allele fraction heterogeneity is associated with non-small cell lung cancer patient survival

机译:突变等位基因片段异质性与非小细胞肺癌患者生存有关

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摘要

Genetic intratumor heterogeneity is associated with tumor occurrence, development and overall outcome. The present study aims to explore the association between mutant-allele fraction (MAF) heterogeneity and patient overall survival in lung cancer. Somatic mutation data of 939 non-small cell lung cancer (NSCLC) cases were obtained from The Cancer Genome Atlas. Entropy-based mutation allele fraction (EMAF) score was used to describe the uncertainty of individual somatic mutation patterns and to further analyze the association with patient overall survival. Results indicated that association between EMAF and overall survival was significant in the discovery set [hazard ratio (H)R=1.62; 95% confidence interval (CI): 1.08–2.41; P=0.018] and replication set (HR=1.63; 95% CI: 1.11–2.37; P=0.011). In addition, EMAF was also significantly different in lung adenocarcinoma and squamous cell carcinoma. Furthermore, a significant difference was indicated in early-stage patients. Results from c-index analysis indicated that EMAF improved the model predictive performance on the 3-year survival beyond that of traditional clinical staging, particularly in early-stage patients. In conclusion, EMAF successfully reflected MAF heterogeneity among patients with NSCLC. Additionally, EMAF improved the predictive performance in early-stage patient prognosis beyond that of traditional clinical staging. In clinical application, EMAF appears to identify a subset of early-stage patients with a poor prognosis and therefore may help inform clinical decisions regarding the application of chemotherapy after surgery.
机译:遗传内肿瘤异质性与肿瘤的发生,发展和总体结果有关。本研究旨在探讨突变等位基因分数(MAF)异质性与肺癌患者总体生存之间的关系。从癌症基因组图谱中获得了939例非小细胞肺癌(NSCLC)病例的体细胞突变数据。基于熵的突变等位基因分数(EMAF)得分用于描述个体体细胞突变模式的不确定性,并进一步分析与患者总体生存率的关系。结果表明,在发现组中,EMAF与总体生存率之间存在显着相关性[危险比(H)R = 1.62; 95%置信区间(CI):1.08–2.41; P = 0.018]和复制集(HR = 1.63; 95%CI:1.11-2.37; P = 0.011)。此外,EMAF在肺腺癌和鳞状细胞癌中也有显着差异。此外,在早期患者中显示出显着差异。 c指数分析的结果表明,EMAF在3年生存率方面的模型预测性能优于传统临床分期,尤其是在早期患者中。总之,EMAF成功地反映了非小细胞肺癌患者的MAF异质性。此外,EMAF改善了早期患者预后的预测性能,超过了传统的临床分期。在临床应用中,EMAF似乎可以识别出预后较差的早期患者,因此可能有助于为有关手术后化疗的临床决策提供依据。

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