prikaz prve stranice dokumenta Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)
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Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)
Cancers, 16 (2024), 4; 720. https://doi.org/10.3390/cancers16040720
Šutić, Maja; Dmitrović, Branko; Jakovčević, Antonia; Džubur, Feđa; Oršolić, Nada; Debeljak, Željko; Försti, Asta; Seiwerth, Sven; Brčić, Luka; Madžarac, Goran; Samaržija, Miroslav; Jakopović, Marko; Knežević, Jelena

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Šutić, M., Dmitrović, B., Jakovčević, A., Džubur, F., Oršolić, N., Debeljak, Ž. ... Knežević, J. (2024). Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC). Cancers, 16. (4). doi: 10.3390/cancers16040720

Šutić, Maja, et al. "Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)." Cancers, vol. 16, br. 4, 2024. https://doi.org/10.3390/cancers16040720

Šutić, Maja, Branko Dmitrović, Antonia Jakovčević, Feđa Džubur, Nada Oršolić, Željko Debeljak, Asta Försti, et al. "Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)." Cancers 16, br. 4 (2024). https://doi.org/10.3390/cancers16040720

Šutić, M., et al. (2024) 'Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)', Cancers, 16(4). doi: 10.3390/cancers16040720

Šutić M, Dmitrović B, Jakovčević A, Džubur F, Oršolić N, Debeljak Ž, i sur.. Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC). Cancers [Internet]. 08.02.2024. [pristupljeno 13.11.2024.];16(4). doi: 10.3390/cancers16040720

M. Šutić, et al., "Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)", Cancers, vol. 16, br. 4, Veljača 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:738237. [Citirano: 13.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:738237
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Naslov (engleski)Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)
AutorMaja Šutić
AutorBranko Dmitrović
AutorAntonia Jakovčević
AutorFeđa Džubur
AutorNada Oršolić
AutorŽeljko Debeljak
AutorAsta Försti
AutorSven Seiwerth
AutorLuka Brčić
AutorGoran Madžarac
AutorMiroslav Samaržija
AutorMarko Jakopović
AutorJelena Knežević
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(KATEDRA ZA INTERNU MEDICINU)
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(KATEDRA ZA PATOLOGIJU)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Patologija
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Interna medicina
Sažetak (engleski)
Squamous cell lung carcinoma (SqCLC) is associated with high mortality and limited treatment options. Identification of therapeutic targets and prognostic biomarkers is still lacking. This research aims to analyze the transcriptomic profile of SqCLC samples and identify the key genes associated with tumorigenesis, overall survival (OS), and a profile of the tumor-infiltrating immune cells. Differential gene expression analysis, pathway enrichment analysis, and Gene Ontology analysis on RNA-seq data obtained from FFPE tumor samples (N = 23) and healthy tissues (N = 3) were performed (experimental cohort). Validation of the results was conducted on publicly available gene expression data using TCGA LUSC (N = 225) and GTEx healthy donors’ cohorts (N = 288). We identified 1133 upregulated and 644 downregulated genes, common for both cohorts. The most prominent upregulated genes were involved in cell cycle and proliferation regulation pathways (MAGEA9B, MAGED4, KRT, MMT11/13), while downregulated genes predominately belonged to immune-related pathways (DEFA1B, DEFA1, DEFA3). Results of the survival analysis, conducted on the validation cohort and commonly deregulated genes, indicated that overexpression of HOXC4 (p < 0.001), LLGL1 (p = 0.0015), and SLC4A3 (p = 0.0034) is associated with worse OS in early-stage SqCLC patients. In contrast, overexpression of GSTZ1 (p = 0.0029) and LILRA5 (p = 0.0086) was protective, i.e., associated with better OS. By applying a single-sample gene-set enrichment analysis (ssGSEA), we identified four distinct immune subtypes. Immune cell distribution suggests that the memory T cells (central and effector) and follicular helper T cells could serve as important stratification parameters.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaCancers
Brojčani podacivol. 16, br. 4, 720
e-ISSN2072-6694
DOIhttps://doi.org/10.3390/cancers16040720
URN:NBNurn:nbn:hr:105:738237
Datum objave publikacije2024-02-08
ProjektŠifra: IP-2016-06-1441
Naziv (hrvatski): Genetički i epigenetički biomarkeri urođene imunosti u KOPB-u i karcinomu pluća
Kratica: LungInflaCare
Voditelj: Jelena Knežević
Pravna nadležnost: Hrvatska
Financijer: Hrvatska zaklada za znanost
Linija financiranja: Research Projects
URL dokumentahttps://www.mdpi.com/2072-6694/16/4/720
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-11-13 14:23:54