Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome
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 lu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/23/3/1215 |
| _version_ | 1797487569559093248 |
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| author | Jean-François Haince Philippe Joubert Horacio Bach Rashid Ahmed Bux Paramjit S. Tappia Bram Ramjiawan |
| author_facet | Jean-François Haince Philippe Joubert Horacio Bach Rashid Ahmed Bux Paramjit S. Tappia Bram Ramjiawan |
| author_sort | Jean-François Haince |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T23:49:34Z |
| format | Article |
| id | doaj.art-3fe32fb700134b7fa40fdd46628f54ff |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-09T23:49:34Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-3fe32fb700134b7fa40fdd46628f54ff2023-11-23T16:36:50ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-01-01233121510.3390/ijms23031215Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the MetabolomeJean-François Haince0Philippe Joubert1Horacio Bach2Rashid Ahmed Bux3Paramjit S. Tappia4Bram Ramjiawan5BioMark Diagnostics Inc., Richmond, BC V6X 2W8, CanadaInstitut Universitaire de Cardiologie et de Pneumologie de Québec, Department of Pathology, Laval University, Quebec, QC G1V 4G5, CanadaDepartment of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, BC V6H 3Z6, CanadaBioMark Diagnostics Inc., Richmond, BC V6X 2W8, CanadaAsper Clinical Research Institute, St. Boniface Hospital, Winnipeg, MB R2H 2A6, CanadaAsper Clinical Research Institute, St. Boniface Hospital, Winnipeg, MB R2H 2A6, CanadaThe 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.https://www.mdpi.com/1422-0067/23/3/1215lung cancerdiagnosismolecular targetsproteomicsmetabolomicsearly detection |
| spellingShingle | Jean-François Haince Philippe Joubert Horacio Bach Rashid Ahmed Bux Paramjit S. Tappia Bram Ramjiawan Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome International Journal of Molecular Sciences lung cancer diagnosis molecular targets proteomics metabolomics early detection |
| title | Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome |
| title_full | Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome |
| title_fullStr | Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome |
| title_full_unstemmed | Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome |
| title_short | Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome |
| title_sort | metabolomic fingerprinting for the detection of early stage lung cancer from the genome to the metabolome |
| topic | lung cancer diagnosis molecular targets proteomics metabolomics early detection |
| url | https://www.mdpi.com/1422-0067/23/3/1215 |
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