Abstract

We use a systems biology approach to construct protein-protein interaction networks (PPINs) for early and late stage bladder cancer. By comparing the networks of these two stages, we find that both networks showed very significantly different mechanisms. To obtain the differential network structures between cancer and noncancer PPINs, we constructed cancer PPIN and noncancer PPIN network structures for the two bladder cancer stages using microarray data from cancer cells and their adjacent noncancer cells, respectively. With their carcinogenesis relevance values (CRVs), we identified 152 and 50 significant proteins and their PPI networks (network markers) for early and late stage bladder cancer by statistical assessment. To investigate the evolution of network biomarkers in the carcinogenesis process, primary pathway analysis showed that the significant pathways of early stage bladder cancer are related to ordinary cancer mechanisms, while the ribosome pathway and spliceosome pathway are most important for late stage bladder cancer. Their only intersection is the ubiquitin mediated proteolysis pathway in the whole stage of bladder cancer. The evolution of network biomarkers from early to late stage can reveal the carcinogenesis of bladder cancer. The findings in this study are new clues specific to this study and give us a direction for targeted cancer therapy, and it should be validated in vivo or in vitro in the future.

Highlights

  • Cancer is the leading cause of death worldwide and its etiology occurs at the DNA, RNA, or protein level

  • The two constructed cancer and noncancer protein-protein interaction networks (PPINs) were compared to obtain the sets of significant proteins for bladder cancer based on the carcinogenesis relevance value (CRV) for each protein and the statistical assessment

  • Screening in accordance with the P value of CRV, we determined the significant proteins of network markers for the two stages of bladder cancer

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Summary

Introduction

Cancer is the leading cause of death worldwide and its etiology occurs at the DNA, RNA, or protein level. It is a very complex disease involving cascades of spatial and temporal changes in the genetic network and metabolic pathways [1]. Various research studies have revealed that cancers are caused by multiple factors and intertwined events. Bladder cancer is amongst the 10 most common carcinomas in the USA, with 72,570 newly diagnosed cases, and it was the cause of 15,120 deaths in 2013 [2]. We compared the early and late stages of bladder cancer to reveal additional mechanisms of bladder cancer development [4]

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