国内团队:肠道微生物组特征或能预测早期肺癌
创作:Lexi 审核:Lexi 2020年04月09日
  • 分析42名早期肺癌患者和65名健康个体的肠道微生物群组成,与健康人群相比,肺癌患者微生物群组成发生显著变化;
  • 发现13个预测肺癌的高精度生物标记物,确定了无创诊断的最佳微生物群特征;
  • 在34位肺癌患者和40位健康个体中验证该生物学特征,效果显著;
  • 为促进潜在临床实践,构建了“患者歧视指数”(PDI),其在发现队列和验证队列中均保持较高预测效率;
  • 揭示了肺癌患者的微生物群谱,建立了预测早期肺癌的特异性肠道微生物特征。
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Lexi
肠道菌群的改变涉及包括癌症在内的多种疾病。然而,肺癌的肠道菌群谱仍然很大程度上未知。来自中国科学院上海生物化学与细胞生物学研究所的季红斌、陈剑峰以及来自同济大学的张鹏研究团队在Gut Microbes发表最新研究,分析了早期肺癌患者和健康对照的肠道微生物群组成,发现并验证了13个可预测肺癌的高精度生物标记物。该研究揭示了肺癌患者的微生物群谱,建立了预测早期肺癌的特异性肠道微生物特征。
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Gut Microbes [IF:7.74]

Specific gut microbiome signature predicts the early-stage lung cancer

特异性肠道微生物组特征预测早期肺癌

10.1080/19490976.2020.1737487

2020-04-02, Article

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Alterations of gut microbiota have been implicated in multiple diseases including cancer. However, the gut microbiota spectrum in lung cancer remains largely unknown. Here we profiled the gut microbiota composition in a discovery cohort containing 42 early-stage lung cancer patients and 65 healthy individuals through the 16S ribosomal RNA (rRNA) gene sequencing analysis. We found that lung cancer patients displayed a significant shift of microbiota composition in contrast to the healthy populations. To identify the optimal microbiota signature for noninvasive diagnosis purpose, we took advantage of Support-Vector Machine (SVM) and found that the predictive model with 13 operational taxonomic unit (OTU)-based biomarkers achieved a high accuracy in lung cancer prediction (area under curve, AUC = 97.6%). This signature performed reasonably well in the validation cohort (AUC = 76.4%), which contained 34 lung cancer patients and 40 healthy individuals. To facilitate potential clinical practice, we further constructed a ‘patient discrimination index’ (PDI), which largely retained the prediction efficiency in both the discovery cohort (AUC = 92.4%) and the validation cohort (AUC = 67.7%). Together, our study uncovered the microbiota spectrum of lung cancer patients and established the specific gut microbial signature for the potential prediction of the early-stage lung cancer.

First Authors:
Yajuan Zheng,Zhaoyuan Fang,Yun Xue

Correspondence Authors:
Peng Zhang,Jianfeng Chen,Hongbin Ji

All Authors:
Yajuan Zheng,Zhaoyuan Fang,Yun Xue,Jian Zhang,Junjie Zhu,Renyuan Gao,Shun Yao,Yi Ye,Shihui Wang,Changdong Lin,Shiyang Chen,Hsinyi Huang,Liang Hu,Ge-Ning Jiang,Huanlong Qin,Peng Zhang,Jianfeng Chen,Hongbin Ji

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