Indian Journal of Cancer
Home  ICS  Feedback Subscribe Top cited articles Login 
Users Online :1082
Small font sizeDefault font sizeIncrease font size
Navigate Here
 »   Next article
 »   Previous article
 »   Table of Contents

Resource Links
 »   Similar in PUBMED
 »  Search Pubmed for
 »  Search in Google Scholar for
 »Related articles
 »   Citation Manager
 »   Access Statistics
 »   Reader Comments
 »   Email Alert *
 »   Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded1077    
    Comments [Add]    
    Cited by others 2    

Recommend this journal


Year : 2016  |  Volume : 53  |  Issue : 1  |  Page : 1-7

Next generation sequencing analysis of lung cancer datasets: A functional genomics perspective

1 Bioinformatics and Systems Biology, Bioclues Organization, IKP Knowledge Park, Secunderabad, Andhra Pradesh, India
2 Institute of Computer Science, University of Tartu, Tartu, Estonia, Europe

Correspondence Address:
P Suravajhala
Bioinformatics and Systems Biology, Bioclues Organization, IKP Knowledge Park, Secunderabad, Andhra Pradesh
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0019-509X.180832

Rights and Permissions

Cigarette smoking leads to serious epidemics in humans, creating torsion of infection in epithelial cells lining the respiratory tracts. Several researchers in the recent past have theorized that the next generation sequencing (NGS), especially transcriptome sequencing has enhanced understanding lung cancers and other epithelial epidemics. Conversely, pathogenesis specific to lung cancer with respect to molecular fraction of genomic ribonucleic acid has some mutant effect in various populations like smokers with lung cancer, healthy never smokers and vice versa. We review the impending impact of NGS data while providing insights into the biology of lung cancer affecting various populations, which we believe would be an add-on service for predictive biology approaches. Furthermore, we conclude what would be the outcome of such analysis for Indian population. Bioinformatics analysis was performed using various tools. We identified five genes namely epidermal growth factor receptor, Kirsten rat sarcoma, adenomatosis polyposis down regulated-1, N-ethylmaleimide-sensitive factor attachment protein, gamma and Piezo type mechanosensitive ion channel component 2 whose role was implicated in lung cancer and further analysis has to be performed to check whether or not the genes are indeed completely involved in causing lung cancer.


Print this article     Email this article

  Site Map | What's new | Copyright and Disclaimer
  Online since 1st April '07
  © 2007 - Indian Journal of Cancer | Published by Wolters Kluwer - Medknow