MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring

Cancer remains the second most common cause of death after cardiovascular diseases, accounting for nearly 10 million deaths in 2020. Although the incidence of cancer increases considerably with age, the cancer burden can also be reduced and have a high chance of cure through early detection, appropr...

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Main Authors: Patrícia Sousa, Laurentina Silva, Catarina Luís, José S. Câmara, Rosa Perestrelo
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Separations
Subjects:
Online Access:https://www.mdpi.com/2297-8739/10/8/453
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author Patrícia Sousa
Laurentina Silva
Catarina Luís
José S. Câmara
Rosa Perestrelo
author_facet Patrícia Sousa
Laurentina Silva
Catarina Luís
José S. Câmara
Rosa Perestrelo
author_sort Patrícia Sousa
collection DOAJ
description Cancer remains the second most common cause of death after cardiovascular diseases, accounting for nearly 10 million deaths in 2020. Although the incidence of cancer increases considerably with age, the cancer burden can also be reduced and have a high chance of cure through early detection, appropriate treatment, and care of patients. The development of high-throughput analytical approaches, like matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), contributes to identifying a pool of proteins/peptides as putative biomarkers for the early detection, diagnosis, and tumor progression. The purpose of the current review is to present an updated outline of recent proteome/peptidome research to establish putative cancer biomarkers using MALDI-TOF MS and highlight the applicability of statistical analysis in the oncology field. The pros and cons of MALDI-TOF MS application on cancer diagnostics and monitoring will be discussed, as well as compared with tandem mass spectrometry (MS/MS)-based proteomics (e.g., liquid chromatography–tandem mass spectrometry). In addition, pre-analytical (e.g., sample quality control) and analytical (e.g., sample pre-treatment, instrumental analytical conditions) properties that influence the robustness of MALDI-TOF MS data will be also discussed.
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spelling doaj.art-092344b8f1aa4e22a1d50d11e6d8f2002023-11-19T03:00:14ZengMDPI AGSeparations2297-87392023-08-0110845310.3390/separations10080453MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and MonitoringPatrícia Sousa0Laurentina Silva1Catarina Luís2José S. Câmara3Rosa Perestrelo4CQM—Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, PortugalHospital Dr. Nélio Mendonça, SESARAM, EPERAM—Serviço de Saúde da Região Autónoma da Madeira, Avenida Luís de CamõesK, 9004-514 Funchal, PortugalCQM—Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, PortugalCQM—Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, PortugalCQM—Centro de Química da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, PortugalCancer remains the second most common cause of death after cardiovascular diseases, accounting for nearly 10 million deaths in 2020. Although the incidence of cancer increases considerably with age, the cancer burden can also be reduced and have a high chance of cure through early detection, appropriate treatment, and care of patients. The development of high-throughput analytical approaches, like matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), contributes to identifying a pool of proteins/peptides as putative biomarkers for the early detection, diagnosis, and tumor progression. The purpose of the current review is to present an updated outline of recent proteome/peptidome research to establish putative cancer biomarkers using MALDI-TOF MS and highlight the applicability of statistical analysis in the oncology field. The pros and cons of MALDI-TOF MS application on cancer diagnostics and monitoring will be discussed, as well as compared with tandem mass spectrometry (MS/MS)-based proteomics (e.g., liquid chromatography–tandem mass spectrometry). In addition, pre-analytical (e.g., sample quality control) and analytical (e.g., sample pre-treatment, instrumental analytical conditions) properties that influence the robustness of MALDI-TOF MS data will be also discussed.https://www.mdpi.com/2297-8739/10/8/453cancerproteome/peptidomeMALDI-TOF MSsample pre-treatmentstatistical toolbiomarkers
spellingShingle Patrícia Sousa
Laurentina Silva
Catarina Luís
José S. Câmara
Rosa Perestrelo
MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
Separations
cancer
proteome/peptidome
MALDI-TOF MS
sample pre-treatment
statistical tool
biomarkers
title MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
title_full MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
title_fullStr MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
title_full_unstemmed MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
title_short MALDI-TOF MS: A Promising Analytical Approach to Cancer Diagnostics and Monitoring
title_sort maldi tof ms a promising analytical approach to cancer diagnostics and monitoring
topic cancer
proteome/peptidome
MALDI-TOF MS
sample pre-treatment
statistical tool
biomarkers
url https://www.mdpi.com/2297-8739/10/8/453
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AT josescamara malditofmsapromisinganalyticalapproachtocancerdiagnosticsandmonitoring
AT rosaperestrelo malditofmsapromisinganalyticalapproachtocancerdiagnosticsandmonitoring