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Computational analysis of regulatory genes network pathways among devastating cancer diseases

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Abstract

Breast cancer (BC), Endometrial cancer (EC) and Ovarian cancer are devastating diseases among women, because the ratio of death is very high for these three cancers. The arising point of endometrial cancer is uterus, which is a pelvic organ and development of fatal occur in uterus. Among all the risk factors of endometrial cancer, the prominent position is held by breast cancer, because a significant amount of molecular pathways, as well as seed genes, are linked with one another. There are two ovaries in the reproductive system of female and the positions of these ovaries are in both side of uterus. Ovary is the place, where ovarian cancer arises from. The present study attempts to find the common gene among BC, EC and OC. Reduction of gene rate is achieved through the preprocessing and filtering process. Protein–protein interaction (PPIs) network is designed for 335 common gene generated from gene mining process. Topological analysis finally provides ten common genes necessary for analysis of pathways, Gene regulatory Network (GRN), co-expression, physical interaction network. Gene ontology analysis generates better understanding of biological process, cellular component and molecular functioning. Interaction of proteins with drug molecules comes up with efficient drug design for this research.

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Abbreviations

BC:

Breast cancer

EC:

Endometrial cancer

OC:

Ovarian cancer

NCBI:

National Center of Biotechnology Information

GO:

Gene ontology

CTD:

Comparative toxicogenomics database

GRN:

Gene regulatory network

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Acknowledgements

This manuscript has not been published yet and not even under consideration for publication elsewhere. The authors are grateful who have participated in this research work.

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Authors and Affiliations

  1. Department of Software Engineering, Daffodil International University, Sukrabad, Dhanmondi, Dhaka, Bangladesh

    Tasnimul Alam Taz, Md Kawsar & Bikash Kumar Paul

  2. Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh

    Bikash Kumar Paul & Kawsar Ahmed

  3. Group of Bio-photomatix, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh

    Bikash Kumar Paul & Kawsar Ahmed

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  1. Tasnimul Alam Taz
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  2. Md Kawsar
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  4. Kawsar Ahmed
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Correspondence to Kawsar Ahmed.

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Taz, T.A., Kawsar, M., Paul, B.K. et al. Computational analysis of regulatory genes network pathways among devastating cancer diseases. J Proteins Proteom 11, 63–76 (2020). https://doi.org/10.1007/s42485-020-00032-z

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  • DOI: https://doi.org/10.1007/s42485-020-00032-z

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