974
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Tumour microbiota structure predicts hypopharyngeal carcinoma recurrence and metastasis

, , , , , , , , & show all
Article: 2146378 | Received 11 May 2022, Accepted 07 Nov 2022, Published online: 14 Nov 2022
 

ABSTRACT

Objectives

The relationship between microbiota and HPSCC recurrence and metastasis remains uncertain. This study aimed to investigate the role of the tumour microbiota in the disease-free survival (DFS) of HPSCC patients.

Materials and methods

Formalin-fixed paraffin-embedded (FFPE) tumour tissues were collected from 103 patients with HPSCC for 16S rRNA sequencing. We analysed the tumour microbiota in HPSCC patients with recurrence/metastasis and nonrecurrence/metastasis. The linear predictor score (LPS) was calculated based on the Cox regression model to assess the risk of recurrence and metastasis. Then, a time-dependent ROC curve was used to evaluate the prognostic power of the LPS.

Results

The phyla Bacteroidota, Firmicutes and Proteobacteria were the most abundant bacterial taxa in the tumour tissues. Eubacterium_coprostanoligenes_group (hazard ratio [HR] = 0.289, 95% confidence interval [CI] 0.137–0.608, p= 0.001) and Prevotella (HR = 3.744, 95% CI 1.439–9.738, p= 0.007) were independent predictors of DFS. The predicting classifier for recurrence and metastasis risk yielded an area under the curve (AUC) of 0.838 at 3 years and 0.860 at 5 years.

Conclusion

Our study demonstrated the relationship between tumour microbiota and recurrence and metastasis in patients with HPSCC.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/20002297.2022.2146378.

Data availability statement

All raw reads have been deposited in the NCBI Sequence Read Archive (SRA) under accession number PRJNA833656 (https://www.ncbi.nlm.nih.gov/).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (81502343 and 81972529), the Clinical Research Plan of SHDC (SHDC2020CR6011), the Science and Technology Commission of Shanghai Municipality (21Y11900100 and 19411961300), Shanghai Sailing Program (22YF1405700) and Shanghai Rising-Star Program - Specialist Program (2019-72).