A Multi-study Meta-analysis Approach to Identifying Genetic Signaturesin Lung Cancer Progression

Abstract: Lung neoplasms account for the highest cancer mortality globally. The present study aimed to conduct a preliminary assessment of several studies utilizing sequencing data to examine the genetic profiles of cancer patients and healthy individuals. The findings were analyzed through a meta-analysis approach to identify a shared common gene. The gene of interest was analyzed statistically using selected studies. The BCL2 gene family, with an FDR-P value below 0.01, was selected and identified as a common gene family using the CLC Genomics Workbench 9 software. The BCL2L1 gene was identified as the most significant gene among all the data based on statistical analysis conducted on the isoforms of the BCL2 gene family from each sample using Comprehensive Meta-Analysis V3 software. The gene involved in the cancer pathway was identified using the KEGG website. In conclusion, the BCL2L1 gene is pivotal in cancer pathogenesis. Hence, by analyzing the gene pathways in which the BCL2L1 gene was implicated and its interactions with other proteins, it can therefore, be considered a potent gene in cancer research.