Investigation of pathogenic germline variants in gastric cancer and development of “GasCanBase” database

Author:

Hossain Mohammad Uzzal1,Ahammad Ishtiaque1ORCID,Moniruzzaman Md.2,Akter Lubna Mahbuba1,Bhattacharjee Arittra1,Mahmud Chowdhury Zeshan1,Ahmed Istiak3,Hosen Md. Billal3,Biswas Shourov4,Chandra Das Keshob2,Keya Chaman Ara5,Salimullah Md.2

Affiliation:

1. Bioinformatics Division National Institute of Biotechnology Dhaka Bangladesh

2. Molecular Biotechnology Division National Institute of Biotechnology Dhaka Bangladesh

3. Department of Pharmacy Noakhali Science and Technology University Noakhali Bangladesh

4. Department of Clinical Oncology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh

5. Department of Biochemistry and Microbiology North South University Dhaka Bangladesh

Abstract

AbstractBackgroundGastric cancer, which is also known as stomach cancer, can be influenced by both germline and somatic mutations. Non‐synonymous Single Nucleotide Polymorphisms (nsSNPs) in germline have long been reported to play a pivotal role in cancer progression.AimThe aim of this study is to examine the nsSNP in GC‐associated genes. The study also aims to develop a database with extensive information regarding the nsSNPs in the GC‐associated genes and their impacts.Methods and ResultsA total of 34,588 nsSNPs from 1,493,460 SNPs of the 40 genes were extracted from the available SNP database. Drug binding and energy minimization were examined by molecular docking and YASARA. To validate the existence of the germline CDH1 gene mutation (rs34466743) in the isolated blood DNA of gastric cancer (GC) patients, polymerase chain reaction (PCR) and DNA sequencing were performed. According to the results of the gene network analysis, 17 genes may interact with other types of cancer. A total of 11,363 nsSNPs were detected within the 40 GC genes. Among these, 474 nsSNPs were predicted to be damaging and 40 to be the most damaging. The SNPs in domain regions were thought to be strong candidates that alter protein functions. Our findings proposed that most of the selected nsSNPs were within the domains or motif regions. Free Energy Deviation calculation of protein structure pointed toward noteworthy changes in the structure of each protein that can demolish its natural function. Subsequently, drug binding confirmed the structural variation and the ineffectiveness of the drug against the mutant model in individuals with these germline variants. Furthermore, in vitro analysis of the rs34466743 germline variant from the CDH1 gene confirmed the strength and robustness of the pipeline that could expand the somatic alteration for causing cancer. In addition, a comprehensive gastric cancer polymorphism database named “GasCanBase” was developed to make data available to researchers.ConclusionThe findings of this study and the “GasCanBase” database may greatly contribute to our understanding of molecular epidemiology and the development of precise therapeutics for gastric cancer. GasCanBase is available at: https://www.gascanbase.com/.

Publisher

Wiley

Subject

Cancer Research,Oncology

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