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Integrative Analysis of Potential Biomarkers Involved in the Progression of Papillary Thyroid Cancer

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Abstract

This study aims to explore key prognostic and diagnostic biomarkers involved in the pathogenesis of papillary thyroid cancer (PTC) which is one of the most common endocrine cancers and whose occurrence is rapidly increasing. Papillary thyroid cancer datasets containing normal and tumor samples were collected from Gene Expression Omnibus. Protein–protein interaction (PPI) network for common upregulated differentially expressed genes (DEGs) was constructed, and hub genes were studied. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed to identify the vital biological behaviors and pathways involved in PTC. PPI network analysis demonstrated the interaction between 134 common upregulated DEGs, and top 15 pivotal genes with highest degree of connectivity were retrieved. Three of the hub genes (DPP4, ITGA2, FN1) were linked to the prognosis of PTC patients and considered clinically relevant core genes via survival analysis. We suggest that the identification of key genes associated with PTC development help us in understanding molecular mechanisms related to disease. These genes could also be considered the diagnostic biomarkers or as therapeutic targets in the future treatment for PTC.

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Data Availability

The datasets generated during and/or analyzed during the current study are available in the Gene Omnibus (GEO) repository.

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Acknowledgements

We thank National Institute of Technology Warangal for providing the computational facility.

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  1. Department of Biotechnology, National Institute of Technology Warangal, Warangal, 506004, Telangana, India

    Ritu Bansal & Urmila Saxena

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  1. Ritu Bansal
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  2. Urmila Saxena
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Contributions

All authors contributed to the study conception and design. Data collection and analysis were performed by Ritu Bansal with the help of Urmila Saxena. The first draft of the manuscript was written by Ritu Bansal and Urmila Saxena read and approved the final manuscript.

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Correspondence to Urmila Saxena.

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Bansal, R., Saxena, U. Integrative Analysis of Potential Biomarkers Involved in the Progression of Papillary Thyroid Cancer. Appl Biochem Biotechnol 195, 2917–2932 (2023). https://doi.org/10.1007/s12010-022-04244-5

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