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AuthorElshoeibi, Amgad Mohamed
AuthorElsayed, Basel
AuthorKaleem, Muhammad Zain
AuthorElhadary, Mohamed Ragab
AuthorAbu-Haweeleh, Mohannad Natheef
AuthorHaithm, Yunes
AuthorKrzyslak, Hubert
AuthorVranic, Semir
AuthorPedersen, Shona
Available date2024-01-16T08:23:30Z
Publication Date2023-10-01
Publication NameCancers
Identifierhttp://dx.doi.org/10.3390/cancers15205005
CitationElshoeibi, A. M., Elsayed, B., Kaleem, M. Z., Elhadary, M. R., Abu-Haweeleh, M. N., Haithm, Y., ... & Pedersen, S. (2023). Proteomic Profiling of Small-Cell Lung Cancer: A Systematic Review. Cancers, 15(20), 5005.‏
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85175007567&origin=inward
URIhttp://hdl.handle.net/10576/50762
AbstractThe accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review aims to identify proteins differentially expressed in SCLC compared to normal lung tissue, evaluating their potential utility in diagnosing and prognosing the disease. Additionally, the study identifies proteins differentially expressed between SCLC and large cell neuroendocrine carcinoma (LCNEC), aiming to discover biomarkers distinguishing between these two subtypes of neuroendocrine lung cancers. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search was conducted across PubMed/MEDLINE, Scopus, Embase, and Web of Science databases. Studies reporting proteomics information and confirming SCLC and/or LCNEC through histopathological and/or cytopathological examination were included, while review articles, non-original articles, and studies based on animal samples or cell lines were excluded. The initial search yielded 1705 articles, and after deduplication and screening, 16 articles were deemed eligible. These studies revealed 117 unique proteins significantly differentially expressed in SCLC compared to normal lung tissue, along with 37 unique proteins differentially expressed between SCLC and LCNEC. In conclusion, this review highlights the potential of proteomics technology in identifying novel biomarkers for diagnosing SCLC, predicting its prognosis, and distinguishing it from LCNEC.
Languageen
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Subjectdiagnostics and prognostic biomarkers
large cell neuroendocrine carcinoma
neuroendocrine tumors
proteomics
small-cell lung cancer
TitleProteomic Profiling of Small-Cell Lung Cancer: A Systematic Review
TypeArticle
Pagination5005
Issue Number20
Volume Number15
dc.accessType Open Access


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