prikaz prve stranice dokumenta Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management
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Scientific paper - Review paper
Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management
Journal of Personalized Medicine, 11 (2021), 11; 1102. https://doi.org/10.3390/jpm11111102
Šutić, Maja; Vukić, Ana; Baranašić, Jurica; Försti, Asta; Džubur, Feđa; Samaržija, Miroslav; Jakopović, Marko; Brčić, Luka; Knežević, Jelena

Institutional repository: Dr Med - University of Zagreb School of Medicine Digital Repository

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Šutić, M., Vukić, A., Baranašić, J., Försti, A., Džubur, F., Samaržija, M. ... Knežević, J. (2021). Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management. Journal of Personalized Medicine, 11. (11). doi: 10.3390/jpm11111102

Šutić, Maja, et al. "Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management." Journal of Personalized Medicine, vol. 11, no. 11, 2021. https://doi.org/10.3390/jpm11111102

Šutić, Maja, Ana Vukić, Jurica Baranašić, Asta Försti, Feđa Džubur, Miroslav Samaržija, Marko Jakopović, Luka Brčić and Jelena Knežević. "Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management." Journal of Personalized Medicine 11, no. 11 (2021). https://doi.org/10.3390/jpm11111102

Šutić, M., et al. (2021) 'Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management', Journal of Personalized Medicine, 11(11). doi: 10.3390/jpm11111102

Šutić M, Vukić A, Baranašić J, Försti A, Džubur F, Samaržija M, and sur.. Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management. Journal of Personalized Medicine [Internet]. 2021 October 27 [cited 2024 November 08];11(11). doi: 10.3390/jpm11111102

M. Šutić, et al., "Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management", Journal of Personalized Medicine, vol. 11, no. 11, October 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:314239. [Accessed: 08 November 2024]

Metadata
Title (english)Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management
AuthorMaja Šutić
AuthorAna Vukić
AuthorJurica Baranašić
AuthorAsta Försti
AuthorFeđa Džubur
AuthorMiroslav Samaržija
AuthorMarko Jakopović
AuthorLuka Brčić
AuthorJelena Knežević
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Internal Medicine)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Internal Medicine
Abstract (english)
Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. The management of lung cancer has dramatically improved in the last decade and is no longer based on the “one-fits-all” paradigm or the general histological classification of non-small cell versus small cell lung cancer. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. Molecular biomarkers have emerged as valuable tools in the prognosis and prediction of therapy response. In this review, we discuss the relevant biomarkers used in the clinical management of lung tumors, from diagnosis to prognosis. We also discuss promising new biomarkers, focusing on non-small cell lung cancer as the most abundant type of lung cancer.
Keywords (english)
Languageenglish
Publication typeScientific paper - Review paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleJournal of Personalized Medicine
Numberingvol. 11, no. 11, 1102
e-ISSN2075-4426
DOIhttps://doi.org/10.3390/jpm11111102
URN:NBNurn:nbn:hr:105:314239
Publication2021-10-27
Document URLhttps://www.mdpi.com/2075-4426/11/11/1102
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2022-03-01 08:49:02