American Research Journal of Biosciences               cover
Open Access

American Research Journal of Biosciences

ISSN (Online): 2379-7959

DOI: 10.46568/arjb

Review Article Vol. 9, Issue 1 2024 Open Access

Mutations in Germline Cancer Susceptibility Genes - Understanding Tumor Initiation, Progression, Treatment and Prognosis through Genomic Profiling

Henry Wealth Oyarieme1, Jerome Otiti2, Holiness Stephen Adedeji Olasore3, Olawale Matthew Olamide4, Ogheneovo Obros5

1, 3, 4 University of Lagos, Biochemistry Department, Faculty of Basic Medical Sciences, College of Medicine, Lagos State, Nigeria. 2Olabisi Onabanjo University, Department of Zoology and Environmental Biology, Faculty of Science, Ago-Iwoye, Ogun State, Nigeria. 3Delta State University, Biochemistry Department, Faculty of Science, Abraka, Delta State, Nigeria.

Citation: Henry Wealth Oyarieme, Jerome Otiti, et al., “Mutations in Germline Cancer Susceptibility Genes - Understanding Tumor Initiation, Progression, Treatment and Prognosis through Genomic Profiling”, American Research Journal of Biosciences, Vol 9, no. 1, 2024, pp. 11-20.

Abstract

Cancer is primarily a genetic disease resulting from accumulated mutations that result in excessive proliferation, decline in replication regulation, evading growth suppressors, resist apoptosis, immortality of cells, and activation of tissue invasion and metastasis. The advent of next-generation sequencing (NGS) in the last decade has changed our knowledge of genetics, especially in diagnosing inherited cancer-susceptible genes. The cost-effectiveness and efficiency of sequencing multiple genes at once have led to its extensive use in research and clinical applications. This review aims to examine the genetic basis of germline susceptible genes, highlighting the significance of the key genetic mutations, the impact of NGS technologies, and the incorporation of artificial intelligence technology in cancer diagnosis, treatment, and prognosis. Genomic profiling and functional studies through NGS and AI-assistant technologies provide detailed insights into the heterogeneity of tumors, identifying key mutations and potential therapeutic targets. This technology enables personalized cancer treatment approaches, enhancing the efficacy of interventions and improving patient outcomes.