Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28433
Title: Expression of the checkpoint kinase BUB1 is a predictor of response to cancer therapies
Authors: Cicirò, Y
Ragusa, D
Sala, A
Keywords: chemotherapy;computational biology and bioinformatics
Issue Date: 23-Feb-2024
Publisher: Springer Nature
Citation: Cicirò, Y., Ragusa, D. and Sala, A. (2024) 'Expression of the checkpoint kinase BUB1 is a predictor of response to cancer therapies', Scientific Reports, 2024, 14 (1), 4461, pp. 1 - 15. doi: 10.1038/s41598-024-55080-y.
Abstract: The identification of clinically-relevant biomarkers is of upmost importance for the management of cancer, from diagnosis to treatment choices. We performed a pan-cancer analysis of the mitotic checkpoint budding uninhibited by benzimidazole 1 gene BUB1, in the attempt to ascertain its diagnostic and prognostic values, specifically in the context of drug response. BUB1 was found to be overexpressed in the majority of cancers, and particularly elevated in clinically aggressive molecular subtypes. Its expression was correlated with clinico-phenotypic features, notably tumour staging, size, invasion, hypoxia, and stemness. In terms of prognostic value, the expression of BUB1 bore differential clinical outcomes depending on the treatment administered in TCGA cancer cohorts, suggesting sensitivity or resistance, depending on the expression levels. We also integrated in vitro drug sensitivity data from public projects based on correlation between drug efficacy and BUB1 expression to produce a list of candidate compounds with differential responses according to BUB1 levels. Gene Ontology enrichment analyses revealed that BUB1 overexpression in cancer is associated with biological processes related to mitosis and chromosome segregation machinery, reflecting the mechanisms of action of drugs with a differential effect based on BUB1 expression.
Description: Data availability: Expression and clinical data used for this study are available from the TCGA-TARGET-GTEx cohort in the University of California Santa Cruz public repository Xena (https://xenabrowser.net), cBioPortal TCGA PanCancerAtlas (https://www.cbioportal.org), Genomic Data Commons Data Portal (https://portal.gdc.cancer.gov/). Cell line drug sensitivity data from the Genomics of Drug Sensitivity in Cancer (GDSC) project were downloaded from GDSC1000 resources (https://www.cancerrxgene.org/gdsc1000/GDSC1000_WebResources/Home.html); data from the Cancer Therapeutics Response Portal (CTRP) v2 was retrieved from the NCI CTD2 Data Portal (https://ctd2-data.nci.nih.gov/Public/Broad/).
Supplementary Information is available online at: https://www.nature.com/articles/s41598-024-55080-y#Sec22 .
URI: https://bura.brunel.ac.uk/handle/2438/28433
DOI: https://doi.org/10.1038/s41598-024-55080-y
Other Identifiers: ORCiD: Ylenia Cicirò https://orcid.org/0000-0003-1607-3266
ORCiD: Denise Ragusa http://orcid.org/0000-0002-0303-8683
ORCiD: Arturo Sala https://orcid.org/0000-0002-2841-7866
4461
Appears in Collections:Dept of Life Sciences Research Papers

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