Exploring the Genetic Differences Between Small Cell and Non-small Cell Lung Cancer Using Bioinformatic Approaches: A Preliminary Study

DOI

10.2991/978-94-6463-050-3_34How to use a DOI?

Keywords

Non small cell carcinoma; Small cell lung carcinoma; principal component analysis; Random Forest; feature selection

Abstract

Lung cancer can be categorized into two types, which are Non Small Cell Lung Carcinoma (NSCLC) and Small Cell Lung Carcinoma (SCLC). 85% of lung cancer cases are NSCLC, although SCLC is the more aggressive. Mutation of EGFR, ALK and KRAS are characteristics of NSCLC and these findings have led to the discovery of targeted therapy for NSCLC. Targeted therapy for SCLC is lagging as identifying its genetic markers is complicated by the molecular complexity of its pathophysiology. Hence, in this study, genetic differences between SCLC and NSCLC were explored using bioinformatics approaches. The study was divided into two parts where the first involves feature selection and principal component analysis to differentiate the two lung cancer types based on mRNA gene expression. Additionally, top 20 mutated genes for each type were determined using odds ratio (OR). In the second phase, a predictive model was built using outcome of the mRNA gene expression analysis. The results showed that the mRNA expression of 20 identified genes could differentiate the two lung cancer types. This was further corroborated by the predictive model where a sensitivity and specificity of 1.0 was achieved. However, with the small number of data, further analyses are warranted. The OR and protein–protein interaction (PPI) showed that KRAS, NFE2L2, MUC6 and ARHGAP35 genes to be potential biomarkers for NSCLC as well as potential pathway for its progression. This preliminary study shows that bioinformatics approach could aid in understanding SCLC and NSCLC, which could lead to discovery of novel targeted therapy and potential biomarkers.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Muhammad Amru Nazri
AU  - Faris Aizat Ahmad Fajri
AU  - Muhamad Harith Zulkifli
AU  - Fazlin Mohd Fauzi
PY  - 2022
DA  - 2022/12/14
TI  - Exploring the Genetic Differences Between Small Cell and Non-small Cell Lung Cancer Using Bioinformatic Approaches: A Preliminary Study
BT  - Proceedings of the 4th International Conference Current Breakthrough in Pharmacy (ICB-Pharma 2022)
PB  - Atlantis Press
SP  - 389
EP  - 418
SN  - 2590-3195
UR  - https://doi.org/10.2991/978-94-6463-050-3_34
DO  - 10.2991/978-94-6463-050-3_34
ID  - Nazri2022
ER  -