Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome
department or school: Medicine, Faculty of
department or school: Non UBC
department or school: Medicine, Department of
data provider: DSpace
identifier citation: International Journal of Molecular Sciences 23 (3): 1215 (2022)
creator: Haince, Jean-François
creator: Joubert, Philippe
creator: Bach, Horacio
creator: Ahmed Bux, Rashid
creator: Tappia, Paramjit S.
creator: Ramjiawan, Bram
issued: 2022-03-29T14:50:19Z
issued: 2022-01-21
description: The five-year survival rate of lung cancer patients is very low, mainly because most newly diagnosed patients present with locally advanced or metastatic disease. Therefore, early diagnosis is key to the successful treatment and management of lung cancer. Unfortunately, early detection methods of lung cancer are not ideal. In this brief review, we described early detection methods such as chest X-rays followed by bronchoscopy, sputum analysis followed by cytological analysis, and low-dose computed tomography (LDCT). In addition, we discussed the potential of metabolomic fingerprinting, compared to that of other biomarkers, including molecular targets, as a low-cost, high-throughput blood-based test that is both feasible and affordable for early-stage lung cancer screening of at-risk populations. Accordingly, we proposed a paradigm shift to metabolomics as an alternative to molecular and proteomic-based markers in lung cancer screening, which will enable blood-based routine testing and be accessible to those patients at the highest risk for lung cancer.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/81046
note: Citation: Haince, J.-F.; Joubert, P.;Bach, H.; Ahmed Bux, R.; Tappia, P.S.;Ramjiawan, B. MetabolomicFingerprinting for the Detection ofEarly-Stage Lung Cancer: From theGenome to the Metabolome. Int. J.Mol. Sci. 2022, 23, 1215. https://doi.org/10.3390/ijms23031215Academic Editor: Pavel SoucekReceived: 29 November 2021Accepted: 17 January 2022Published: 21 January 2022Publisher’s Note: MDPI stays neutralwith regard to jurisdictional claims inpublished maps and institutional affil-iations.Copyright: © 2022 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). International Journal of Molecular SciencesReviewMetabolomic Fingerprinting for the Detection of Early-StageLung Cancer: From the Genome to the MetabolomeJean-François Haince 1, Philippe Joubert 2, Horacio Bach 3 , Rashid Ahmed Bux 1, Paramjit S. Tappia 4,*and Bram Ramjiawan 4,51 BioMark Diagnostics Inc., Richmond, BC V6X 2W8, Canada; jhaince@biomarkdiagnostics.com (J.-F.H.);Rashid.biomark@gmail.com (R.A.B.)2 Institut Universitaire de Cardiologie et de Pneumologie de Québec, Department of Pathology,Laval University, Quebec, QC G1V 4G5, Canada; philippe.joubert@criucpq.ulaval.ca3 Department of Medicine, Division of Infectious Diseases, University of British Columbia,Vancouver, BC V6H 3Z6, Canada; horacio.bach@gmail.com4 Asper Clinical Research Institute, St. Boniface Hospital, Winnipeg, MB R2H 2A6, Canada;bramjiawan@sbrc.ca5 Department of Pharmacology & Therapeutics, Rady Faculty of Health Sciences, University of Manitoba,Winnipeg, MB R3E 0T6, Canada* Correspondence: ptappia@sbrc.ca; Tel.: +1-204-258-1230Abstract: The five-year survival rate of lung cancer patients is very low, mainly because most newlydiagnosed patients present with locally advanced or metastatic disease. Therefore, early diagnosisis key to the successful treatment and managem…
has type: Article
is shown at: 10.14288/1.0407441
language: eng
peer review status: Reviewed
provider: Vancouver : University of British Columbia Library
publisher: Multidisciplinary Digital Publishing Institute
publisher DOI: 10.3390/ijms23031215
rights: CC BY 4.0
rights URI: https://creativecommons.org/licenses/by/4.0/
scholar level: Faculty
scholar level: Researcher
subject: lung cancer
subject: diagnosis
subject: molecular targets
subject: proteomics
subject: metabolomics
subject: early detection
type: Text
identifier URI: http://hdl.handle.net/2429/81046