prikaz prve stranice dokumenta Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)
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Scientific paper - Original scientific paper
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, no. 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, no. 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, and sur.. Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC). Cancers [Internet]. 2024 February 08 [cited 2024 November 13];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, no. 4, February 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:738237. [Accessed: 13 November 2024]

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Metadata
Title (english)Transcriptomic Profiling for Prognostic Biomarkers in Early-Stage Squamous Cell Lung Cancer (SqCLC)
AuthorMaja Šutić
AuthorBranko Dmitrović
AuthorAntonia Jakovčević
AuthorFeđa Džubur
AuthorNada Oršolić
AuthorŽeljko Debeljak
AuthorAsta Försti
AuthorSven Seiwerth
AuthorLuka Brčić
AuthorGoran Madžarac
AuthorMiroslav Samaržija
AuthorMarko Jakopović
AuthorJelena Knežević
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Internal Medicine)
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Pathology)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Pathology
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Internal Medicine
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleCancers
Numberingvol. 16, no. 4, 720
e-ISSN2072-6694
DOIhttps://doi.org/10.3390/cancers16040720
URN:NBNurn:nbn:hr:105:738237
Publication2024-02-08
ProjectNumber: IP-2016-06-1441
Title (croatian): Genetički i epigenetički biomarkeri urođene imunosti u KOPB-u i karcinomu pluća
Acronym: LungInflaCare
Leader: Jelena Knežević
Jurisdiction: Croatia
Funding stream: Research Projects
Document URLhttps://www.mdpi.com/2072-6694/16/4/720
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-11-13 14:23:54