2017
DOI: 10.18632/oncotarget.18222
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Environment and bladder cancer: molecular analysis by interaction networks

Abstract: Bladder cancer (BC) is the 9th most common cancer worldwide, and the 6th most common cancer in men. Its development is linked to chronic inflammation, genetic susceptibility, smoking, occupational exposures and environmental pollutants. Aim of this work was to identify a sub-network of genes/proteins modulated by environmental or arsenic exposure in BC by computational network approaches. Our studies evidenced the presence of HUB nodes both in “BC and environment” and “BC and arsenicals” networks. These HUB no… Show more

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Cited by 42 publications
(48 citation statements)
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“…Previous research shows that miR-30a-5p acts as a tumor suppressor in a kind of cancers, such as gastric cancer (11) and hepatocellular carcinoma (12). Other reports also showed that miR-30 family exerts an important roles in breast cancer (13), papillary thyroid cancer (14) and bladder cancer (15). However, whether miR-30a-5p plays a role or not in melanoma remains largely unknown.…”
Section: Introductionmentioning
confidence: 99%
“…Previous research shows that miR-30a-5p acts as a tumor suppressor in a kind of cancers, such as gastric cancer (11) and hepatocellular carcinoma (12). Other reports also showed that miR-30 family exerts an important roles in breast cancer (13), papillary thyroid cancer (14) and bladder cancer (15). However, whether miR-30a-5p plays a role or not in melanoma remains largely unknown.…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies it was speculated the potential role of a bioinformatics approach to identify miRNAs with high diagnostic and prognostic significance in cancer development and progression [ 40 44 ].…”
Section: Discussionmentioning
confidence: 99%
“…Then, we focused our attention on the PPI network specifically obtained from the immune response gene products, since it has been described that deregulation of genes, encoding for highly interactive proteins, interferes with physiological processes and that molecules involved in diseases development show a high attitude to interact with each other [ 77 ]. The clustering analysis of this sub-network helped us to further prioritize deregulated gene products that were placed in “highest connectivity areas” (clusters) of the network, where the hubs of biological process regulation are usually positioned [ 78 ].…”
Section: Discussionmentioning
confidence: 99%