Zhang Miao, Zhang Yan, Han Yaguang, Zhao Xin, Sun Yi
Department of Oncology, Graduate School, Hebei Medical University, Shijiazhuang, China.
Department of Oncology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Transl Cancer Res. 2022 Feb;11(2):426-434. doi: 10.21037/tcr-22-92.
BACKGROUND: The microbial community affects the occurrence, development, metastasis and treatment response of cancers. But the detailed role and characteristics of lung microbiota (LM) in non-small cell lung cancer (NSCLC) are not fully known. For NSCLC associated microbiota analysis, it is valuable to combine multiple levels of detection, e.g., tumor, blood plasma, and bronchoalveolar fluid (BALF), but not single tissues. METHODS: This study collected above three sample types from NSCLC patients free from lung infection and aimed to describe their LM features using sequencing techniques. All patients diagnosed at the Department of Oncology in Shijiazhuang People's Hospital with stage III or IV NSCLC from May 2019 to April 2020 were enrolled. All 37 pieces of tumor tissues and 6 blood samples were sent for pathogen targeted sequencing; for the BALF samples, 4 were used for pathogen targeted sequencing and 2 were sent for 16S ribosomal DNA (rDNA) sequencing. RESULTS: We detected 49 pathogenic microorganisms (PMs) in the 37 tumor samples, 28 PMs in the 4 BALF samples, and 14 PMs in the 6 plasma samples. Overall, there were 5 common PMs in 3 types of samples. Between the tumor and BALF samples, there were another 11 common elements. In the 5 tumor-plasma pairs, the presence of a specific PM in blood was not necessarily consistent with that in the tumor. In the tumor-BALF pairs, the PM diversity was dramatically higher in the BALF than in the tumor. The PMs detected in the BALF could largely cover the PMs in the tumor. In the BALF 16S rDNA sequencing, there were 82 common operational taxonomic units (OTUs), and the microbiota in the BALF of advanced NSCLC patients exhibited some similarity. CONCLUSIONS: This study showed the unique features of LM. The amount of intra-tumoral PMs was not necessarily consistent with that in the blood, but there was an obvious correlation between the intra-tumoral microbiota and that in the BALF. It is convenient and non-invasive to obtain BALF. Detection of LM classification and abundance in the BALF may help evaluate the severity of NSCLC.
背景：微生物群落影响癌症的发生、发展、转移及治疗反应。但肺微生物群（LM）在非小细胞肺癌（NSCLC）中的具体作用和特征尚不完全清楚。对于NSCLC相关微生物群分析，结合肿瘤、血浆和支气管肺泡灌洗液（BALF）等多个检测水平有重要价值，而非单一组织。 方法：本研究收集了上述三种样本类型，来自无肺部感染的NSCLC患者，旨在使用测序技术描述其LM特征。纳入2019年5月至2020年4月在石家庄市人民医院肿瘤科诊断为III期或IV期NSCLC的所有患者。37块肿瘤组织和6份血液样本均进行病原体靶向测序；对于BALF样本，4份进行病原体靶向测序，2份进行16S核糖体DNA（rDNA）测序。 结果：我们在37份肿瘤样本中检测到49种致病微生物（PMs），在4份BALF样本中检测到28种PMs，在6份血浆样本中检测到14种PMs。总体而言，三种样本类型中有5种常见PMs。在肿瘤和BALF样本之间，还有另外11种共同成分。在5对肿瘤-血浆样本中，血液中特定PMs的存在与肿瘤中的情况不一定一致。在肿瘤-BALF样本对中，BALF中的PM多样性显著高于肿瘤。在BALF中检测到的PMs在很大程度上可以覆盖肿瘤中的PMs。在BALF的16S rDNA测序中，有82个常见的操作分类单元（OTUs），晚期NSCLC患者BALF中的微生物群表现出一定相似性。 结论：本研究显示了LM的独特特征。肿瘤内PMs的数量与血液中的数量不一定一致，但肿瘤内微生物群与BALF中的微生物群之间存在明显相关性。获取BALF方便且无创。检测BALF中LM的分类和丰度可能有助于评估NSCLC的严重程度。
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