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Network-Based Identification of Module Biomarker Associated with Hepatocellular Carcinoma

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Advanced Computing (IACC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1528))

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Abstract

Hepatocellular carcinoma (HCC) remains a second major cause of cancer-related death worldwide due to late diagnosis at the metastatic stage, therefore there is an urgency to develop non-invasive biomarkers to unravel the molecular mechanism behind the progression of disease. MicroRNAs (miRNAs) and messenger RNA (mRNA) has been reported to be differentially expressed in HCC, and hence can play an important role of biomarkers. This work focuses on the identification of miRNA modules associated with the disease by a network-based survival-associated approach. First, a set of 10,00 miRNA datasets has been extracted from the cancer genome atlas program (TGCA) repository. Next, miRNA datasets with available expression and clinical data were identified. In total, 700–750 differentially expressed miRNA were identified to create a weighted mRNA co-expression network. By network analysis, miR302/367 clusters were identified to be differentially expressed. Later, mir302d was identified to be the potential biomarker for the disease.

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Author information

Authors and Affiliations

  1. Department of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India

    Talib Hussain & Nadeem Ahmad

  2. Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, 110025, India

    Prithvi Singh, Abhinav Kumar & Ravins Dohare

  3. Department of Computer Science, Maitreyi College (University of Delhi), New Delhi, 110021, India

    Shweta Sankhwar

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  1. Talib Hussain
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  2. Prithvi Singh
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  3. Abhinav Kumar
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  4. Nadeem Ahmad
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  5. Ravins Dohare
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  6. Shweta Sankhwar
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Corresponding authors

Correspondence to Ravins Dohare or Shweta Sankhwar .

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Editors and Affiliations

  1. Bennett University, Greater Noida, India

    Deepak Garg

  2. Missouri University of Science and Technology, Rolla, CA, USA

    Sarangapani Jagannathan

  3. Model Institute of Engineering and Technology, Kot Bhalwal, Jammu and Kashmir, India

    Ankur Gupta

  4. University of Malta, Msida, Malta

    Lalit Garg

  5. Bennett University, Greater Noida, India

    Suneet Gupta

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Hussain, T., Singh, P., Kumar, A., Ahmad, N., Dohare, R., Sankhwar, S. (2022). Network-Based Identification of Module Biomarker Associated with Hepatocellular Carcinoma. In: Garg, D., Jagannathan, S., Gupta, A., Garg, L., Gupta, S. (eds) Advanced Computing. IACC 2021. Communications in Computer and Information Science, vol 1528. Springer, Cham. https://doi.org/10.1007/978-3-030-95502-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-95502-1_12

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