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Data Analysis and Network Study of Non-small-cell Lung Cancer Biomarkers

  • Koel De MukherjeeEmail author
  • Aman Vats
  • Deepshikha Ghosh
  • Santhosh Kumar Pillai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 988)

Abstract

Non-small-cell lung cancers (NSCLCs) are the most common lung cancers and account for more than 80% of all lung cancers. The principal objective of this study is to identify and characterize novel cancer biomarkers through transcriptome screening in non-small-cell lung cancer patients to determine their role in cancer progression. From the microarray data for non-small-cell lung cancer, genes were screened based on their upregulated expression levels. Cytoscape was used to make the gene network of all such selected genes and also for build-up network modules for genes with maximum expression levels. The accuracy of the result was further validated by performing a comparative study among the cancer and developmental genes. Three genes, AURKA, TFAP2A, CREBBP, respectively, were found to be involved in NSCLC. Further, the work sheds light on the fact that TFAP2A gene might play an important role as a novel biomarker for non-small-cell lung cancer. So, potent drug molecules against the target gene (TFAP2A) can be searched and applied for docking in further studies.

Keywords

System biology Transcriptome Cytoscape TFAP2A 

Notes

Acknowledgements

We thankfully acknowledge Mr. Amit Gupta, Director, HH Biotechnologies Pvt. Ltd, India, for extending the help and suggestion at the crucial time.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Koel De Mukherjee
    • 1
    Email author
  • Aman Vats
    • 2
  • Deepshikha Ghosh
    • 3
  • Santhosh Kumar Pillai
    • 1
  1. 1.Department of Biotechnology & Food TechnologyDurban University of TechnologyDurbanSouth Africa
  2. 2.EXL CompanyGurugramIndia
  3. 3.Department of Chemical EngineeringIIT GandhinagarGujaratIndia

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