Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Investigating Strength that Comprehensive mRNA Expression Level of Prognostic Genes Influences on Patient Survival for Every Cancer Type

Version 1 : Received: 9 December 2019 / Approved: 13 December 2019 / Online: 13 December 2019 (10:57:29 CET)
Version 2 : Received: 21 August 2020 / Approved: 21 August 2020 / Online: 21 August 2020 (11:26:33 CEST)

How to cite: Lee, M. Investigating Strength that Comprehensive mRNA Expression Level of Prognostic Genes Influences on Patient Survival for Every Cancer Type. Preprints 2019, 2019120183 (doi: 10.20944/preprints201912.0183.v1). Lee, M. Investigating Strength that Comprehensive mRNA Expression Level of Prognostic Genes Influences on Patient Survival for Every Cancer Type. Preprints 2019, 2019120183 (doi: 10.20944/preprints201912.0183.v1).

Abstract

This study aimed to rank cancers by the strength of relationship between comprehensive mRNA expression of the most harmful or protective genes and patient survival. Using TCGA dataset including RNA-SEQ and clinical data, we investigated not only gene specific prognostic availability, but also comprehensive prognostic availability of prognostic genes filtered by cox coefficient, and ranked cancers by specially designed prognostic indicator. Through Kaplan-Meier plots, we checked that cancers vary in the strength of influence of prognostic genes, and they follow as the rank. Developing treatment with method to reduce or increase expression of biomarkers for specific cancer which ranked bottom, it would be not efficient in high probability. The results of this study can be a scientific evidence for that.

Supplementary and Associated Material

https://github.com/Minhyeong-1022/TCGA_mRNA-expression_survival_correlation_research: Supplemental github page including files such as source codes, figures and tables used in this study

Subject Areas

Bioinformatics, Cancer, Genomics, Computational Biology, RNA sequencing, TCGA

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