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AuthorSaman, Harman
AuthorRaza, Afsheen
AuthorPatil, Kalyani
AuthorUddin, Shahab
AuthorCrnogorac-Jurcevic, Tatjana
Available date2023-12-13T10:30:16Z
Publication Date2022-12-01
Publication NameCancers
Identifierhttp://dx.doi.org/10.3390/cancers14235782
CitationSaman, H.; Raza, A.; Patil, K.; Uddin, S.; Crnogorac-Jurcevic, T. Non-Invasive Biomarkers for Early Lung Cancer Detection. Cancers 2022, 14, 5782. https://doi.org/10.3390/cancers14235782
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85143616915&origin=inward
URIhttp://hdl.handle.net/10576/50383
AbstractWorldwide, lung cancer (LC) is the most common cause of cancer death, and any delay in the detection of new and relapsed disease serves as a major factor for a significant proportion of LC morbidity and mortality. Though invasive methods such as tissue biopsy are considered the gold standard for diagnosis and disease monitoring, they have several limitations. Therefore, there is an urgent need to identify and validate non-invasive biomarkers for the early diagnosis, prognosis, and treatment of lung cancer for improved patient management. Despite recent progress in the identification of non-invasive biomarkers, currently, there is a shortage of reliable and accessible biomarkers demonstrating high sensitivity and specificity for LC detection. In this review, we aim to cover the latest developments in the field, including the utility of biomarkers that are currently used in LC screening and diagnosis. We comment on their limitations and summarise the findings and developmental stages of potential molecular contenders such as microRNAs, circulating tumour DNA, and methylation markers. Furthermore, we summarise research challenges in the development of biomarkers used for screening purposes and the potential clinical applications of newly discovered biomarkers.
Languageen
PublisherMDPI
Subjectbiomarkers
circulating tumour DNA
DNA methylation markers
early detection
lung cancer
microRNAs
radiomics
screening
TitleNon-Invasive Biomarkers for Early Lung Cancer Detection
TypeArticle Review
Issue Number23
Volume Number14
ESSN2072-6694
dc.accessType Open Access


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