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Plectin as a putative novel biomarker for breast cancer: an in silico study

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Abstract

Breast cancer is a heterogenous disease accounting for about 0.68 million deaths among women in 2020. The drive to succumb the fatality in breast cancer, lies in the hands of rapid advancement of novel biomarker, which could render definitive information regarding the prognosis of breast cancer. To expedite the process, Plectin (PLEC), a cytoskeleton linker protein, was speculated as an effective biomarker for breast cancer, due to its implication in various cancer tumorigenesis, but its involvement in breast cancer is still unexplored. To substantiate the claim, an exemplary bioinformatics approach was adopted. In the present study expression, progression, prognosis, mutation characteristics, and its correlation in breast cancer were explored using bioinformatics databases and analytical tools, such as TIMER, GEPIA, UALCAN, cBioportal, bc-GenExMiner and Kaplan–Meier plotters. The results showed significant over-expression of PLEC levels across various types of cancer with striking levels in breast cancer tissues. Over expression regardless of the age, stages, subclasses, and menopause status was exhibited. Estrogen, progesterone receptors status and Scarff–Bloom–Richardson grade, Nottingham prognostic index were positively correlated with PLEC level while showing amplification type of mutation implying overall poor survival (P = 3.923e−3) and positive correlation between PLEC and FAM83H gene expression indicative that PLEC may be deployed as viable breast cancer biomarker. Here, we report PLEC as a novel putative marker for breast cancer using bioinformatics approach which necessitates extensive clinical research to validate our results.

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Acknowledgements

The authors acknowledge Department of Life Science, Bangalore University for providing facilities and support.

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  1. Department of Phytomedicine, VrikshaVijnan Private Limited, Bangalore, 560 061, India

    Madhushree M. V. Rao

  2. Department of Life Science, Bangalore University, JnanaBharathi, Bangalore, 560 056, India

    M. Likith, R. Kavya & T. P. N. Hariprasad

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  1. Madhushree M. V. Rao
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  2. M. Likith
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Conceptualization: [T. P. N. HP]; Methodology: [MR, ML]; formal analysis and investigation: [RK, MR, ML]; writing—original draft preparation: [MR, ML, T. P. N. HP]; writing—review and editing: [MR, T. P. N. HP]; supervision: [T. P. N. HP].

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Correspondence to T. P. N. Hariprasad.

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Rao, M.M.V., Likith, M., Kavya, R. et al. Plectin as a putative novel biomarker for breast cancer: an in silico study. Netw Model Anal Health Inform Bioinforma 11, 49 (2022). https://doi.org/10.1007/s13721-022-00392-0

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