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e-Poster Display Session

8P - Distinct tumor bacterial microbiome in lung adenocarcinomas manifested as radiological subsolid nodules

Date

24 Mar 2021

Session

e-Poster Display Session

Presenters

Yi Ma

Citation

Journal of Thoracic Oncology (2021) 16 (suppl_4): S699-S703.

Authors

Y. Ma1, M. Qiu2

Author affiliations

  • 1 Thoracic Surgery, Peking University People's Hospital, 100044 - Beijing/CN
  • 2 Peking University People's Hospital, 100044 - Beijing/CN
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Abstract 8P

Background

Early stage lung adenocarcinoma (LUAD) manifested as subsolid nodules (SSN) in CT have been considered as a special clinical subtype and are less aggressive than pure solid LUAD. Here, we firstly report the microbiome diversity between subsolid and solid LUAD.

Methods

We performed 16S rRNA sequencing of 35 pairs of LUAD tumor tissues and adjacent normal tissues, including 10 SSN and 25 SN. 29 patients were at TNM stage I, 2 were at TNM stage II, and 4 at were TNM stage IIIA. Age, gender, BMI and TNM stage were matched between SSN and SN. Machine learning was used to identify microbial signatures and construct predictive models.

Results

SSN and SN had 102 and 232 unique OTUs, respectively; while tumor and normal lung tissues had almost identical OTUs. Interestingly, at phylum level, both SSN and SN were mainly composed of Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. SSN had significantly higher abundance of Chloroflexi and Gemmatimonadetes. At genus level, Rhodococcus, Ochrobactrum are main compositions in these two groups. For alpha-diversity, SSN group has greater bacterial richness (number of OTUs, p = 0.017) and diversity (shannon index, p = 0.17). Both the unweighted unifrac and PCoA analyses confirmed SSN and SN have statistically different microbiome composition (Anosim, R = 0.213, p = 0.016). Moreover, LEfSe analysis revealed 54 features that may discriminate SSN and SN (LDA >2.5, p < 0.05). At genus level, increased bacteria such as Cloacibacterium, Subdoligranulum, and Mycobacterium and decreased bacteria like Lachnoclostridium were strong discriminative features for SSN. Probiotics with anti-cancer potential, like Lactobacillus, showed elevated levels in normal tissues. Based on a five genera-signature, SSN could be accurately discriminated from SN using random forest algorithm with a sensitivity of 1, specificity of 0.8, and AUC of 0.90 (95% CI, 0.77–1.00). To verify the accuracy, we performed 10-fold cross-validation, resulting in a mean AUC of 0.933.

Conclusions

Early stage LUAD manifested as radiological SSN has increased microbiome richness and diversity compared with SN, and the microbiome composition of SSN is distinct from that of SN. Subsolid lung adenocarcinoma has a special microbiome subtype.

Legal entity responsible for the study

Peking University People's Hospital.

Funding

National Natural Science Foundation of China.

Disclosure

All authors have declared no conflicts of interest.

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