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  1. Article: Lung cancer screening by volume computed tomography: thriving to high performance.

    Schillebeeckx, Eline / Lamote, Kevin

    Breathe (Sheffield, England)

    2022  Volume 17, Issue 4, Page(s) 210063

    Abstract: Low-dose volume CT screening for lung cancer leads to a significant decrease in lung-cancer-related mortality. However, optimisation of the post-screening protocol will be crucial for optimal healthcare. ...

    Abstract Low-dose volume CT screening for lung cancer leads to a significant decrease in lung-cancer-related mortality. However, optimisation of the post-screening protocol will be crucial for optimal healthcare.
    Language English
    Publishing date 2022-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0063-2021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Where the nose is going to help the eye: Sniffing lung cancer.

    Lamote, Kevin / Van den Heuvel, Michel M

    Lung cancer (Amsterdam, Netherlands)

    2021  Volume 154, Page(s) 195–196

    MeSH term(s) Biomarkers ; Humans ; Lung Neoplasms ; Nose ; Respiratory System
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-02-10
    Publishing country Ireland
    Document type Editorial ; Comment
    ZDB-ID 632771-0
    ISSN 1872-8332 ; 0169-5002
    ISSN (online) 1872-8332
    ISSN 0169-5002
    DOI 10.1016/j.lungcan.2021.02.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Management of incidental nodules in lung cancer screening: ready for prime-time?

    Kanellakis, Nikolaos I / Lamote, Kevin

    Breathe (Sheffield, England)

    2019  Volume 15, Issue 4, Page(s) 346–349

    Abstract: Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. A precise and robust lung nodule classifier could minimise healthcare costs and discomfort for ... ...

    Abstract Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. A precise and robust lung nodule classifier could minimise healthcare costs and discomfort for patients.
    Language English
    Publishing date 2019-11-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0247-2019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Clinical utility of diagnostic biomarkers in malignant pleural mesothelioma: a systematic review and meta-analysis.

    Schillebeeckx, Eline / van Meerbeeck, Jan P / Lamote, Kevin

    European respiratory review : an official journal of the European Respiratory Society

    2021  Volume 30, Issue 162

    Abstract: Malignant pleural mesothelioma (MPM) is characterised by late-stage diagnosis and poor prognosis. Currently, no screening tool is advocated and diagnosis is based on invasive techniques, which are not well tolerated. Non-invasive diagnostic biomarkers ... ...

    Abstract Malignant pleural mesothelioma (MPM) is characterised by late-stage diagnosis and poor prognosis. Currently, no screening tool is advocated and diagnosis is based on invasive techniques, which are not well tolerated. Non-invasive diagnostic biomarkers have shown potential and could have a huge clinical benefit. However, despite extensive research, there is no consensus yet on their clinical use, with many articles reporting contradicting results, limiting their clinical implementation. The aim of this systematic review is therefore to explore the different semi- and non-invasive diagnostic markers in several human matrices and identify those that might clinically be relevant. A total of 100 articles were selected through Web of Science and PubMed, with 56 articles included in the quantitative analysis. Although many studies have reported on the diagnostic accuracy of MPM biomarkers such as serum mesothelin and high-mobility group box protein 1 and plasma fibulin-3, none have resulted in a validated test for early detection. Future research should focus on external validation, combinations into biomarker panels, the inclusion of early stage MPM patients and a combination of different biomarker matrices, as well as new markers.
    MeSH term(s) Biomarkers, Tumor ; Humans ; Lung Neoplasms/diagnosis ; Mesothelioma/diagnosis ; Mesothelioma, Malignant ; Pleural Neoplasms/diagnosis ; Prognosis
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2021-11-17
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Review ; Systematic Review
    ZDB-ID 1077620-5
    ISSN 1600-0617 ; 0905-9180
    ISSN (online) 1600-0617
    ISSN 0905-9180
    DOI 10.1183/16000617.0057-2021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Volatile organic compounds in human matrices as lung cancer biomarkers: a systematic review.

    Janssens, Eline / van Meerbeeck, Jan P / Lamote, Kevin

    Critical reviews in oncology/hematology

    2020  Volume 153, Page(s) 103037

    Abstract: Volatile organic compounds (VOCs) have shown potential as non-invasive breath biomarkers for lung cancer, but their unclear biological origin currently limits clinical applications. This systematic review explores headspace analysis of VOCs in patient- ... ...

    Abstract Volatile organic compounds (VOCs) have shown potential as non-invasive breath biomarkers for lung cancer, but their unclear biological origin currently limits clinical applications. This systematic review explores headspace analysis of VOCs in patient-derived body fluids and lung cancer cell lines to pinpoint lung cancer-specific VOCs and uncover their biological origin. A search was performed in the databases MEDLINE and Web of Science. Twenty-two articles were included in this systematic review. Since there is no standardised approach to analyse VOCs, a plethora of techniques and matrices/cell lines were explored, which is reflected in the various VOCs identified. However, comparing VOCs in the headspace of urine, blood and pleural effusions from patients and lung cancer cell lines showed some overlapping VOCs, indicating their potential use in lung cancer diagnosis. This review demonstrates that VOCs are promising biomarkers for lung cancer. However, due to lack of inter-matrix consensus, standardised prospective trials will have to be conducted to validate clinically relevant biomarkers.
    MeSH term(s) Biomarkers ; Biomarkers, Tumor ; Breath Tests ; Humans ; Lung Neoplasms/diagnosis ; Prospective Studies ; Volatile Organic Compounds
    Chemical Substances Biomarkers ; Biomarkers, Tumor ; Volatile Organic Compounds
    Language English
    Publishing date 2020-07-01
    Publishing country Netherlands
    Document type Journal Article ; Review ; Systematic Review
    ZDB-ID 605680-5
    ISSN 1879-0461 ; 0737-9587 ; 1040-8428
    ISSN (online) 1879-0461
    ISSN 0737-9587 ; 1040-8428
    DOI 10.1016/j.critrevonc.2020.103037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Headspace Volatile Organic Compound Profiling of Pleural Mesothelioma and Lung Cancer Cell Lines as Translational Bridge for Breath Research.

    Janssens, Eline / Mol, Zoë / Vandermeersch, Lore / Lagniau, Sabrina / Vermaelen, Karim Y / van Meerbeeck, Jan P / Walgraeve, Christophe / Marcq, Elly / Lamote, Kevin

    Frontiers in oncology

    2022  Volume 12, Page(s) 851785

    Abstract: Introduction: Malignant pleural mesothelioma (MPM) is a lethal cancer for which early-stage diagnosis remains a major challenge. Volatile organic compounds (VOCs) in breath proved to be potential biomarkers for MPM diagnosis, but translational studies ... ...

    Abstract Introduction: Malignant pleural mesothelioma (MPM) is a lethal cancer for which early-stage diagnosis remains a major challenge. Volatile organic compounds (VOCs) in breath proved to be potential biomarkers for MPM diagnosis, but translational studies are needed to elucidate which VOCs originate from the tumor itself and thus are specifically related to MPM cell metabolism.
    Methods: An
    Results: VOC profiles were identified capable of distinguishing MPM (subtypes) and lung cancer cells with high accuracy. Alkanes, aldehydes, ketones and alcohols represented many of the discriminating VOCs. Discrepancies with clinical findings were observed, supporting the need for studies examining breath and tumor cells of the same patients and studying metabolization and kinetics of
    Conclusion: While the relationship between
    Language English
    Publishing date 2022-05-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.851785
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Determining the clinical utility of a breath test for screening an asbestos-exposed population for pleural mesothelioma: baseline results.

    Zwijsen, Kathleen / Schillebeeckx, Eline / Janssens, Eline / Cleemput, Joris Van / Richart, Tom / Surmont, Veerle F / Nackaerts, Kristiaan / Marcq, Elly / van Meerbeeck, Jan P / Lamote, Kevin

    Journal of breath research

    2023  Volume 17, Issue 4

    Abstract: Pleural mesothelioma (PM) is an aggressive cancer of the serosal lining of the thoracic cavity, predominantly caused by asbestos exposure. Due to nonspecific symptoms, PM is characterized by an advanced-stage diagnosis, resulting in a dismal prognosis. ... ...

    Abstract Pleural mesothelioma (PM) is an aggressive cancer of the serosal lining of the thoracic cavity, predominantly caused by asbestos exposure. Due to nonspecific symptoms, PM is characterized by an advanced-stage diagnosis, resulting in a dismal prognosis. However, early diagnosis improves patient outcome. Currently, no diagnostic biomarkers or screening tools are available. Therefore, exhaled breath was explored as this can easily be obtained and contains volatile organic compounds, which are considered biomarkers for multiple (patho)physiological processes. A breath test, which differentiates asbestos-exposed (AEx) individuals from PM patients with 87% accuracy, was developed. However, before being implemented as a screening tool, the clinical utility of the test must be determined. Occupational AEx individuals underwent annual breath tests using multicapillary column/ion mobility spectrometry. A baseline breath test was taken and their individual risk of PM was estimated. PM patients were included as controls. In total, 112 AEx individuals and six PM patients were included in the first of four screening rounds. All six PM patients were correctly classified as having mesothelioma (100% sensitivity) and out of 112 AEx individuals 78 were classified by the breath-based model as PM patients (30% specificity). Given the large false positive outcome, the breath test will be repeated annually for three more consecutive years to adhere to the 'test, re-test' principle and improve the false positivity rate. A low-dose computed tomography scan in those with two consecutive positive tests will correlate test positives with radiological findings and the possible growth of a pleural tumor. Finally, the evaluation of the clinical value of a breath-based prediction model may lead to the initiation of a screening program for early detection of PM in Aex individuals, which is currently lacking. This clinical study received approval from the Antwerp University Hospital Ethics Committee (B300201837007).
    MeSH term(s) Humans ; Breath Tests ; Mesothelioma/diagnostic imaging ; Pleural Neoplasms/diagnostic imaging ; Asbestos/adverse effects ; Body Fluids
    Chemical Substances Asbestos (1332-21-4)
    Language English
    Publishing date 2023-09-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2381007-5
    ISSN 1752-7163 ; 1752-7155
    ISSN (online) 1752-7163
    ISSN 1752-7155
    DOI 10.1088/1752-7163/acf7e3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: DNA Methylation as a Diagnostic Biomarker for Malignant Mesothelioma: A Systematic Review and Meta-Analysis.

    Vandenhoeck, Janah / van Meerbeeck, Jan P / Fransen, Erik / Raskin, Jo / Van Camp, Guy / Op de Beeck, Ken / Lamote, Kevin

    Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer

    2021  Volume 16, Issue 9, Page(s) 1461–1478

    Abstract: Malignant mesothelioma is an aggressive cancer type linked to asbestos exposure. Because of several intrinsic challenges, mesothelioma is often diagnosed in an advanced disease stage. Therefore, there is a need for diagnostic biomarkers that may ... ...

    Abstract Malignant mesothelioma is an aggressive cancer type linked to asbestos exposure. Because of several intrinsic challenges, mesothelioma is often diagnosed in an advanced disease stage. Therefore, there is a need for diagnostic biomarkers that may contribute to early detection. Recently, the epigenome of tumors is being extensively investigated to identify biomarkers. This manuscript is a systematic review summarizing the state-of-the-art research investigating DNA methylation in mesothelioma. Four literature databases (PubMed, Scopus, Web of Science, MEDLINE) were systematically searched for studies investigating DNA methylation in mesothelioma up to October 16, 2020. A meta-analysis was performed per gene investigated in at least two independent studies. A total of 53 studies investigated DNA methylation of 97 genes in mesothelioma and are described in a qualitative overview. Furthermore, ten studies investigating 13 genes (APC, CDH1, CDKN2A, DAPK, ESR1, MGMT, miR-34b/c, PGR, RARβ, RASSF1, SFRP1, SFRP4, WIF1) were included in the quantitative meta-analysis. In this meta-analysis, the APC gene is significantly hypomethylated in mesothelioma, whereas CDH1, ESR1, miR-34b/c, PGR, RARβ, SFRP1, and WIF1 are significantly hypermethylated in mesothelioma. The three genes that are the most appropriate candidate biomarkers from this meta-analysis are APC, miR-34b/c, and WIF1. Nevertheless, both study number and study objects comprised in this meta-analysis are too low to draw final conclusions on their clinical applications. The elucidation of the genome-wide DNA methylation profile of mesothelioma is desirable in the future, using a standardized genome-wide methylation analysis approach. The most informative CpG sites from this signature could then form the basis of a panel of highly sensitive and specific biomarkers that can be used for the diagnosis of mesothelioma and even for the screening of an at high-risk population of asbestos-exposed individuals.
    MeSH term(s) Asbestos/adverse effects ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; DNA Methylation ; Humans ; Lung Neoplasms/diagnosis ; Lung Neoplasms/genetics ; Mesothelioma/diagnosis ; Mesothelioma/genetics ; Mesothelioma, Malignant
    Chemical Substances Biomarkers, Tumor ; Asbestos (1332-21-4)
    Language English
    Publishing date 2021-05-31
    Publishing country United States
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Review ; Systematic Review
    ZDB-ID 2432037-7
    ISSN 1556-1380 ; 1556-0864
    ISSN (online) 1556-1380
    ISSN 1556-0864
    DOI 10.1016/j.jtho.2021.05.015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The scent of COVID-19: viral (semi-)volatiles as fast diagnostic biomarkers?

    Lamote, Kevin / Janssens, Eline / Schillebeeckx, Eline / Lapperre, Therese S / De Winter, Benedicte Y / van Meerbeeck, Jan P

    Journal of breath research

    2020  Volume 14, Issue 4, Page(s) 42001

    Keywords covid19
    Language English
    Publishing date 2020-07-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2381007-5
    ISSN 1752-7163 ; 1752-7155
    ISSN (online) 1752-7163
    ISSN 1752-7155
    DOI 10.1088/1752-7163/aba105
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Volatile organic compound profiling as a potential biomarker in irritable bowel syndrome: A feasibility study.

    Van Malderen, Kathleen / Hanning, Nikita / Lambrechts, Helen / Haverhals, Tine / Van Marcke, Silke / Ceuleers, Hannah / De Man, Joris G / De Winter, Benedicte Y / Lamote, Kevin / De Schepper, Heiko U

    Frontiers in medicine

    2022  Volume 9, Page(s) 960000

    Abstract: Background: Irritable bowel syndrome (IBS) is a chronic gastrointestinal disorder for which no diagnostic tools are currently available. Patients are diagnosed using the Rome IV criteria and subtyped into a diarrhea, constipation, or mixed phenotype ... ...

    Abstract Background: Irritable bowel syndrome (IBS) is a chronic gastrointestinal disorder for which no diagnostic tools are currently available. Patients are diagnosed using the Rome IV criteria and subtyped into a diarrhea, constipation, or mixed phenotype based on their dominant stool pattern. A recent development in the biomarker area is the analysis of volatile organic compounds (VOCs). The aim of this study was to evaluate the potential of VOCs as diagnostic and phenotypic biomarkers for IBS in breath and fecal samples.
    Materials and methods: Breath and fecal samples from IBS patients and healthy asymptomatic controls (HC) were analyzed with multicapillary column/ion mobility spectrometry (MCC/IMS) and classification models were created based upon VOCs and clinical characteristics.
    Discussion: Irritable bowel syndrome patients were differentiated from HC by means of volatile profiling in both breath and fecal samples with area under the curve (AUCs) of respectively 0.62 and 0.80. Patient subtypes could also be differentiated from each other with AUCs ranging between 0.65 and 0.78. Furthermore, VOC models could differentiate IBS patients based on clinical characteristics like psychological comorbidities and microbiota-influencing therapies.
    Conclusion: This study is the first to demonstrate the use of VOC profiling with the help of MCC/IMS to differentiate IBS patients. Furthermore, the importance of clinical characteristics beside the dominant stool pattern in the differentiation of IBS patients was emphasized.
    Language English
    Publishing date 2022-08-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2022.960000
    Database MEDical Literature Analysis and Retrieval System OnLINE

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