Open Collections

UBC Faculty Research and Publications

Distinct bronchial microbiome precedes clinical diagnosis of lung cancer Marshall, Erin A.; Filho, Fernando S. L.; Sin, Don; Lam, Stephen; Leung, Janice M.; Lam, Wan

Abstract

Resident microbial populations have been detected across solid tumors of diverse origins. Sequencing of the airway microbiota represents an opportunity for establishing a novel omics approach to early detection of lung cancer, as well as risk prediction of cancer development. We hypothesize that bacterial shifts in the pre-malignant lung may be detected in non-cancerous airway liquid biopsies collected during bronchoscopy. We analyzed the airway microbiome profile of near 400 patients: epithelial brushing samples from those with lung cancer, those who developed an incident cancer, and those who do not develop cancer after 10-year follow-up. Using linear discriminate analysis, we define and validate a microbial-based classifier that is able to predict incident cancer in patients before diagnosis with no clinical signs of cancer. Our results demonstrate the potential of using lung microbiome profiling as a method for early detection of lung cancer.

Item Metadata

Title
Distinct bronchial microbiome precedes clinical diagnosis of lung cancer
Creator
Marshall, Erin A.; Filho, Fernando S. L.; Sin, Don; Lam, Stephen; Leung, Janice M.; Lam, Wan
Contributor
BC Cancer Research Centre. Integrative Oncology; University of British Columbia. Centre for Heart Lung Innovation
Publisher
BioMed Central
Date Issued
2022-03-07
Description
Resident microbial populations have been detected across solid tumors of diverse origins. Sequencing of the airway microbiota represents an opportunity for establishing a novel omics approach to early detection of lung cancer, as well as risk prediction of cancer development. We hypothesize that bacterial shifts in the pre-malignant lung may be detected in non-cancerous airway liquid biopsies collected during bronchoscopy. We analyzed the airway microbiome profile of near 400 patients: epithelial brushing samples from those with lung cancer, those who developed an incident cancer, and those who do not develop cancer after 10-year follow-up. Using linear discriminate analysis, we define and validate a microbial-based classifier that is able to predict incident cancer in patients before diagnosis with no clinical signs of cancer. Our results demonstrate the potential of using lung microbiome profiling as a method for early detection of lung cancer.
Subject
Lung cancer; Early detection; Microbiome; Risk prediction; Liquid biopsy
Genre
Article
Type
Text
Language
eng
Date Available
2022-04-07
Provider
Vancouver : University of British Columbia Library
Rights
Attribution 4.0 International (CC BY 4.0)
DOI
10.14288/1.0412638
URI
http://hdl.handle.net/2429/81126
Affiliation
Medicine, Faculty of; Non UBC
Citation
Molecular Cancer. 2022 Mar 07;21(1):68
Publisher DOI
10.1186/s12943-022-01544-6
Peer Review Status
Reviewed
Scholarly Level
Faculty; Researcher
Copyright Holder
The Author(s)
Rights URI
http://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

Item Media

Item Citations and Data

Rights

Attribution 4.0 International (CC BY 4.0)