Genomics and molecular analysis of RPL9 and LIAS in lung cancer : emerging implications in carcinogenesis

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dc.contributor.author Dlamini, Zodwa
dc.contributor.author Marima, Rahaba
dc.contributor.author Hull, Rodney
dc.contributor.author Syrigos, Konstantinos N.
dc.contributor.author Lolas, Georgios
dc.contributor.author Mphahlele, Lebogang
dc.contributor.author Mbita, Zukile
dc.date.accessioned 2022-08-23T13:14:33Z
dc.date.available 2022-08-23T13:14:33Z
dc.date.issued 2021-08-11
dc.description Appendix A. Supplementary data en_US
dc.description.abstract Worldwide, lung cancer is a leading cause of cancer-related deaths and is the most commonly diagnosed form of cancer. A major characteristic of lung cancer is its profound clinical, histological and molecular heterogeneity. This heterogeneity is not only spatial but also temporal thus stressing the need for personalized patient-tailored treatment planning. The current optimal treatment planning is currently based on real-time monitoring of the evolving molecular profiling of the tumour throughout the course of the disease and treatment. In the current work, we will investigate the emerging role that that RPL9 and LIAS could have in carcinogenesis. While the aberrant expression of RPL9 has already been shown to occur in colorectal cancer its role in lung cancer is not yet known. In a similar manner, the role of LIAS, as a metabolism-linked gene, in cancer biology and especially in lung cancer is still unknown. Emerging research reveals both RPL9 and LIAS as interacting partners and apoptosis resistance genes. The aim of this study is to determine the differential expression of the rpl9 and lias genes in both normal lung tissue and lung cancer samples. This was achieved by using in situ hybridization (ISH) and quantitative Real-time PCR (qPCR). Further data on the role played by RPL9 in lung cancer was established through the use of in silico bioinformatic analysis. This was done in order to map biological pathways enriched by the expression of these genes. Both the KEGG pathway and Reactome analysis confirmed the role of these genes in RNA metabolic pathways. Furthermore, RPL9 was shown to play a role in signal transduction, autophagy, and cellular response to stress pathways. The function of these two proteins overlapped with regard to protein metabolism. STRING analysis also demonstrated an interaction between RPL9 and LIAS. Here we propose that the aberrant expression of RPL9 and LIAS may contribute to lung carcinogenesis and can be targeted for molecular therapy. en_US
dc.description.department Medical Virology en_US
dc.description.librarian am2022 en_US
dc.description.sponsorship The South African Medical Research Council (SAMRC) and the National Research Foundation (NRF). en_US
dc.description.uri https://www.elsevier.com/locate/imu en_US
dc.identifier.citation Dlamini, Z., Marima, R, Hull, R. et al. 2021, 'Genomics and molecular analysis of RPL9 and LIAS in lung cancer : emerging implications in carcinogenesis', Informatics in Medicine Unlocked, vol. 25, art. 100698, pp. 1-10, doi : 10.1016/j.imu.2021.100698. en_US
dc.identifier.issn 2352-9148
dc.identifier.other 10.1016/j.imu.2021.100698
dc.identifier.uri https://repository.up.ac.za/handle/2263/86930
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2021 The Authors. This is an open access article under the CC BY-NC-ND license. en_US
dc.subject Lung cancer en_US
dc.subject In silico bioinformatics analysis en_US
dc.subject In situ hybridization en_US
dc.subject Ribosomal protein L9 (RPL9) en_US
dc.subject Lipoic acid synthetase (LIAS) en_US
dc.subject Heat shock 70 kDa protein 9 (HSPA9) en_US
dc.subject Quantitative polymerase chain reaction (qPCR) en_US
dc.title Genomics and molecular analysis of RPL9 and LIAS in lung cancer : emerging implications in carcinogenesis en_US
dc.type Article en_US


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