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.
