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IRC-SET 2018 pp 221–234Cite as

Genes Associated with Disease-Free Survival Prognosis of Renal Cancers

A Computational Screening for Potential Biomarkers and Targets for Gene Therapy

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Abstract

Renal Cell Carcinoma (RCC) incidence has consistently been on the rise in recent years. There are 4 main types of RCC, namely Bladder Urothelial Carcinoma (BLCA), Kidney Chromophobe (KICH), Kidney Renal Clear Cell Carcinoma (KIRC), and Kidney Renal Papillary Cell Carcinoma (KIRP). The aim of this investigation is to identify genes in the tumors across the various renal cancers that can best distinguish patients with good versus those with poor disease-free survival (DFS), and determine pertinent cancer-related pathways that genes associated with DFS reside in. We hypothesized that genes significantly associated with DFS are associated with pathways that can be targeted for gene therapy and be identified as potential biomarkers for RCC. Genes in the tumors of RCC patients significantly associated with DFS were identified from The Cancer Genome Atlas (TCGA) database using Kaplan-Meier analyses. Genes with high expression that are associated with poor survival of patients might serve as potential biomarkers and/or targets for gene therapy across renal associated cancers with the exception of BLCA.

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Acknowledgements

The authors thank their mentors, A/P Caroline Lee Guat Lay and Mr. Lee Wai Yeow for their constant guidance and support.

Author information

Authors and Affiliations

  1. Anglo-Chinese School (Independent), Singapore, Singapore

    Gideon Tay Yee Chuen, Timothy Lim Tyen Siang & Shannon Lee Xin Ying

  2. Department of Biochemistry, Graduate School for Integrative Sciences and Engineering, National University Singapore, Singapore, Singapore

    Lee Wai Yeow & Caroline G. Lee

  3. Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore

    Caroline G. Lee

  4. Cancer and Stem Cell Biology Programme, Duke-NUS Graduate Medical School, Singapore, Singapore

    Caroline G. Lee

Authors
  1. Gideon Tay Yee Chuen
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  2. Timothy Lim Tyen Siang
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  3. Shannon Lee Xin Ying
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  4. Lee Wai Yeow
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  5. Caroline G. Lee
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Corresponding author

Correspondence to Caroline G. Lee .

Editor information

Editors and Affiliations

  1. Institute for Infocomm Research (I²R), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Huaqun Guo

  2. National University of Singapore, Singapore, Singapore

    Hongliang Ren

  3. Singapore Institute for Neurotechnology, National University of Singapore, Singapore, Singapore

    Aishwarya Bandla

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Chuen, G.T.Y., Siang, T.L.T., Ying, S.L.X., Yeow, L.W., Lee, C.G. (2019). Genes Associated with Disease-Free Survival Prognosis of Renal Cancers. In: Guo, H., Ren, H., Bandla, A. (eds) IRC-SET 2018. Springer, Singapore. https://doi.org/10.1007/978-981-32-9828-6_19

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