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Gene Expression Analysis of the Bladder Cancer Patients Managed by Radical Cystectomy

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Information Technology in Biomedicine (ITIB 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1429))

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Abstract

The aim of this research was to find the differentially expressed genes in the groups of patients with different stages of bladder cancer. Proper analysis could help to find biomarkers responsible for the occurrence of the most invasive forms of bladder cancer. The microarray data (series GSE31684) was used and the obtained genes were characterized and described. The data from 93 bladder cancer patients managed by radical cystectomy was used. The research also examined the impact of various parameters on survival after surgery. The results of the analysis showed that some genes can allow to diagnose various types of cancer grade and stage. The research also presented how smoking, lymph node metastases, cancer stage and grade can affect survival.

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Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, 41-800, Zabrze, Poland

    Anna Tamulewicz & Alicja Mazur

Authors
  1. Anna Tamulewicz
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  2. Alicja Mazur
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Corresponding author

Correspondence to Anna Tamulewicz .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Tamulewicz, A., Mazur, A. (2022). Gene Expression Analysis of the Bladder Cancer Patients Managed by Radical Cystectomy. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_44

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