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miRNA and mRNA Expression Analysis of Human Breast Cancer Subtypes to Identify New Markers

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Book cover Computational Intelligence in Communications and Business Analytics (CICBA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1579))

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Abstract

MicroRNAs (miRNAs) play a key role in the regulation of gene expression. Perfect or in-perfect complementarity of binding between miRNAs and a messenger RNA (mRNA) may lead to mRNA degradation or translational inhibition. In this regard, we have explored the role of miRNA and their target mRNAs in tumorous and normal tissues of molecular breast cancer subtypes such as Basal, human epidermal growth factor receptor 2, luminal A, and luminal B. Thus, we have carried out this research using the expression profile of 825 patient samples. For this analysis, a comparative analysis between the tumorous and adjacent normal groups of samples is conducted. The major finding of this research is the identification of the most significant miRNAs and their corresponding significant target mRNAs associated with the breast cancer subtypes. The biological significance of the identified miRNAs and their target mRNAs are validated by KEGG pathway analysis, gene ontology enrichment analysis, and survival analysis. Moreover, we report a comparison of our method with the panel selection strategies of DESeq and edgeR based on differentially expressed miRNAs.

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Notes

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Authors and Affiliations

  1. Electronics and Communication Engineering Department, Heritage Institute of Technology, Kolkata, West Bengal, India

    Shib Sankar Bhowmick

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Debotosh Bhattacharjee

Authors
  1. Shib Sankar Bhowmick
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  2. Debotosh Bhattacharjee
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Corresponding author

Correspondence to Shib Sankar Bhowmick .

Editor information

Editors and Affiliations

  1. Assam University, Silchar, India

    Somnath Mukhopadhyay

  2. Assam University, Silchar, India

    Sunita Sarkar

  3. Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  4. University of Kalyani, Nadia, India

    Jyotsna Kumar Mandal

  5. Assam University, Silchar, India

    Sudipta Roy

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Bhowmick, S.S., Bhattacharjee, D. (2022). miRNA and mRNA Expression Analysis of Human Breast Cancer Subtypes to Identify New Markers. In: Mukhopadhyay, S., Sarkar, S., Dutta, P., Mandal, J.K., Roy, S. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2022. Communications in Computer and Information Science, vol 1579. Springer, Cham. https://doi.org/10.1007/978-3-031-10766-5_10

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  • DOI: https://doi.org/10.1007/978-3-031-10766-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10765-8

  • Online ISBN: 978-3-031-10766-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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