H. Pylori bacterial gene cag A expression associated with gastric cancer development
Nazima Begum
, H. Surekha Rani , Avinash Bardia , Shaik Iqbal Ahmed, Dr. Aleem Ahmed Khan , Syed Mohammed Akbar Hassan, Puroshottam Padmanadhan
H. pylori, Cag A, Gastric cancer, Gene expression, Predictive Biomarker
Helicobacter pylori (H. pylori) infects approximately half of the world's population with certain geographical variations. Being classified as a class I carcinogen and persisting mechanisms to resist gastric acidity, H. pylori has become a global public health issue. Yet, the precise molecular mechanism through which the H. pylori infection can cause a significant clinical result remains unknown. It was believed that a combination of factors like host genetic factors, environmental factors, and specific bacterial virulence genes are involved in H. pylori pathogenesis. Hence, the current study was aimed to identify the H. pylori pathogenesis at the molecular level by studying the expression of Cag A gene transcript in various gastrointestinal disease (GID) patients. by isolating RNA was isolated from tissue biopsies followed by cDNA construction and subjected to gene expression studies. Further, Cag A gene expression patterns were correlated with gastric cancer development and other inflammatory responses. The results obtained from this study revealed that the expression of the Cag A gene was significantly higher in GID group I patients than in GID group II patients. This correlative expression analysis of the Cag A gene transcript might be used as a predictive biomarker for diagnosing gastric cancer at an early stage.
"H. Pylori bacterial gene cag A expression associated with gastric cancer development ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 9, page no.18 - 21, September-2021, Available :https://ijsdr.org/papers/IJSDR2109003.pdf
Volume 6
Issue 9,
September-2021
Pages : 18 - 21
Paper Reg. ID: IJSDR_193511
Published Paper Id: IJSDR2109003
Downloads: 000347225
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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