...
首页> 外文期刊>Thoracic cancer. >Relationship between intestinal flora structure and metabolite analysis and immunotherapy efficacy in Chinese NSCLC patients
【24h】

Relationship between intestinal flora structure and metabolite analysis and immunotherapy efficacy in Chinese NSCLC patients

机译:NSCLC患者肠道植物结构与代谢物分析及免疫疗法疗效的关系

获取原文

摘要

BACKGROUND:Many immune checkpoint inhibitors (ICIs) have been approved in China to treat non-small cell lung cancer (NSCLC). However, in the long term, less than 20% of patients benefit from ICIs. To maximize the benefit for NSCLC patients, it is necessary to guide the choice of immunotherapy through biomarkers. Recent studies have shown that gut microbiota can affect tumor response to immunotherapy and might be a potential predictive biomarker. This study analyzed the relationship between intestinal flora structure and metabolomic characteristics in NSCLC and the efficacy of ICIs.METHODS:Prospective analysis of samples from 63 patients with advanced NSCLC who attended the Department of Respiratory Medicine of the Peking Union Medical College Hospital from March 2018 to June 2019, and were prescribed programmed cell death 1 (PD-1) inhibitors, was carried out. The follow-up deadline was 31 December 2019. Stool samples were collected from all patients before the start of immunotherapy. DNA was extracted from all samples and libraries were constructed. This was followed by sequencing using the Illumina sequencing platform, and results were studied using a biological information data analysis process. We divided the data into two groups based on progression-free survival (PFS)?≥?six months and PFS??six months.RESULTS:The median PFS was 7.0 months, not reaching the median overall survival (OS). We obtained 373.5 G of original sequencing data. The phyla Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria accounted for most of the bacterial communities in the stool samples studied. Compared with the PFS six-month group, the patients in the PFS?≥?six-month group had significantly higher β-diversity in the intestinal microbiome at the baseline level. There were also differences in composition between the two groups. Samples in the PFS ≥ six-month group were rich in Parabacteroides and Methanobrevibacter, while those in the PFS six-month group were rich in Veillonella, Selenomonadales, and Negativicutes. The KO, COG, and CAZy databases were used to study functional group protein families, yielding 390 (KO), 264 (COG), and 859 (CAZy) functional group abundances, with significant differences between the two groups. Bacterial metabolites analysis suggested significant differences in the metabolic potential of methanol and methane between the two groups.CONCLUSIONS:We found a close correlation between intestinal microbiome β-diversity and anti-PD-1 immunotherapy response in Chinese patients with advanced NSCLC. The intestinal flora composition, functional group protein family, and KEGG metabolism also differed between the two groups. Differences in pathways and flora metabolites were also noted.? 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.
机译:背景:许多免疫检查点抑制剂(ICIS)已在中国批准治疗非小细胞肺癌(NSCLC)。然而,从长远来看,不到20%的患者受益于ICIS。为了最大限度地提高NSCLC患者的益处,有必要通过生物标志物指导免疫疗法的选择。最近的研究表明,肠道微生物会影响对免疫疗法的肿瘤反应,并且可能是潜在的预测性生物标志物。本研究分析了NSCLC中肠道菌群结构与代谢组特征的关系及ICIS.Methods的疗效:2018年3月从北京联盟医学院呼吸系统呼吸系统患有63例先进NSCLC患者的预期分析2019年6月,并进行了规划的细胞死亡1(PD-1)抑制剂。后续截止日期是2019年12月31日。在免疫疗法开始之前,从所有患者中收集粪便样本。从所有样品中提取DNA,构建了文库。随后通过使用illumina测序平台进行测序,使用生物信息数据分析过程研究结果。我们基于无进展生存期(PFS)将数据分为两组?≥?六个月和PFS?<?六个月。结果:中位数PFS为7.0个月,未达到中位数生存(OS)。我们获得了373.5克原始测序数据。 Phyla Bacteroidetes,Froumicutes,Proteobacteria和Actinobacteria占粪便样本中的大多数细菌社区。与PFS <六个月的组相比,PFS中的患者≥?六个月的组在基线水平的肠道微生物组中具有显着高的β-多样性。两组之间的组成差异也存在差异。 PFS≥六个月的样品含有富含偶像和甲烷的含量,而PFS <六个月的群体中的含量富含Veillonella,Selenomonadales和否定性。 KO,Cog和Cazy数据库用于研究官能团蛋白质,产生390(KO),264(COG)和859个(COGE)的官能团丰度,两组之间的显着差异。细菌代谢产物分析表明两组甲醇和甲烷代谢潜力的显着差异。结论:我们发现肠道微生物组β-多样性与中国高级NSCLC患者中的抗PD-1免疫疗法反应的紧密相关性。肠道菌群组合物,官能团蛋白质,和Kegg代谢也不同于两组。还注意到途径和植物植物代谢物的差异。 2020作者。中国肺部肿瘤集团和约翰瓦里和儿子澳大利亚发表的胸癌

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号