Skip to main content
Top
Published in: European Journal of Medical Research 1/2013

Open Access 01-12-2013 | Research

RETRACTED ARTICLE: Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer

Authors: Yahong Xu, Shunwen Luo, Yang Liu, Jian Li, Yi Lu, Zhigang Jia, Qihua Zhao, Xiaoping Ma, Minghui Yang, Yue Zhao, Ping Chen, Yu Guo

Published in: European Journal of Medical Research | Issue 1/2013

Login to get access

Abstract

Background

Cancer is the result of a complex multistep process that involves the accumulation of sequential alterations of several genes, including those encoding microRNAs (miRNAs) that have critical roles in the regulation of gene expression.
In this study, we aimed to predict potential mechanisms of bladder cancer related miRNAs and target genes by bioinformatics analyses.

Methods

Here we used the method of text mining to identify nine miRNAs in bladder cancer and adopted protein-protein interaction analysis to identify interaction sites between these miRNAs and related-target genes.

Results

There are two relationship types between bladder cancer and its related miRNAs: causal and unspecified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment test showed that there were three pathways related to four miRNA targeted genes. The remaining five miRNAs annotated to disease are not enriched in the KEGG pathways. Of these, PIK3R1 is the overlapping gene among 38 genes in the cancer and bladder cancer pathways.

Conclusions

These findings provide new insights into the role of miRNAs in the pathway of cancer and give us a hypothesis that miR-127 might play a similar role in regulation and control of PIK3R1.
Appendix
Available only for authorised users
Literature
1.
go back to reference Larsson SC, Andersson SO, Johansson JE, Wolk A: Diabetes mellitus, body size and bladder cancer risk in a prospective study of Swedish men. Eur J Cancer 2008, 44: 2655–2660. 10.1016/j.ejca.2008.07.012CrossRefPubMed Larsson SC, Andersson SO, Johansson JE, Wolk A: Diabetes mellitus, body size and bladder cancer risk in a prospective study of Swedish men. Eur J Cancer 2008, 44: 2655–2660. 10.1016/j.ejca.2008.07.012CrossRefPubMed
2.
go back to reference Meliker J, Nriagu J: Arsenic in drinking water and bladder cancer: review of epidemiological evidence. Trace Metals other Contaminants Environment 2007, 9: 551–584.CrossRef Meliker J, Nriagu J: Arsenic in drinking water and bladder cancer: review of epidemiological evidence. Trace Metals other Contaminants Environment 2007, 9: 551–584.CrossRef
3.
go back to reference Zeegers MPA, Kellen E, Buntinx F, Brandt PA: The association between smoking, beverage consumption, diet and bladder cancer: a systematic literature review. World J Urol 2004, 21: 392–401. 10.1007/s00345-003-0382-8CrossRefPubMed Zeegers MPA, Kellen E, Buntinx F, Brandt PA: The association between smoking, beverage consumption, diet and bladder cancer: a systematic literature review. World J Urol 2004, 21: 392–401. 10.1007/s00345-003-0382-8CrossRefPubMed
4.
go back to reference Shariat SF, Milowsky M, Droller MJ: Bladder cancer in the elderly. Elsevier; 2009:653–667. Shariat SF, Milowsky M, Droller MJ: Bladder cancer in the elderly. Elsevier; 2009:653–667.
5.
go back to reference Volanis D, Kadiyska T, Galanis A, Delakas D, Logotheti S, Zoumpourlis V: Environmental factors and genetic susceptibility promote urinary bladder cancer. Toxicology letters 2010, 193: 131–137. 10.1016/j.toxlet.2009.12.018CrossRefPubMed Volanis D, Kadiyska T, Galanis A, Delakas D, Logotheti S, Zoumpourlis V: Environmental factors and genetic susceptibility promote urinary bladder cancer. Toxicology letters 2010, 193: 131–137. 10.1016/j.toxlet.2009.12.018CrossRefPubMed
8.
go back to reference Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE, Iorio MV, Visone R, Sever NI, Fabbri M: A microRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. New Engl J Med 2005, 353: 1793–1801. 10.1056/NEJMoa050995CrossRefPubMed Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE, Iorio MV, Visone R, Sever NI, Fabbri M: A microRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. New Engl J Med 2005, 353: 1793–1801. 10.1056/NEJMoa050995CrossRefPubMed
9.
go back to reference Ichimi T, Enokida H, Okuno Y, Kunimoto R, Chiyomaru T, Kawamoto K, Kawahara K, Toki K, Kawakami K, Nishiyama K: Identification of novel microRNA targets based on microRNA signatures in bladder cancer. Int J Cancer 2009, 125: 345–352. 10.1002/ijc.24390CrossRefPubMed Ichimi T, Enokida H, Okuno Y, Kunimoto R, Chiyomaru T, Kawamoto K, Kawahara K, Toki K, Kawakami K, Nishiyama K: Identification of novel microRNA targets based on microRNA signatures in bladder cancer. Int J Cancer 2009, 125: 345–352. 10.1002/ijc.24390CrossRefPubMed
10.
go back to reference Dennis G Jr, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA: DAVID: database for annotation, visualization, and integrated discovery. Genome Biol 2003, 4: P3. 10.1186/gb-2003-4-5-p3CrossRefPubMed Dennis G Jr, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA: DAVID: database for annotation, visualization, and integrated discovery. Genome Biol 2003, 4: P3. 10.1186/gb-2003-4-5-p3CrossRefPubMed
11.
go back to reference Jiang Q, Wang Y, Hao Y, Juan L, Teng M, Zhang X, Li M, Wang G, Liu Y: miR2Disease: a manually curated database for microRNA deregulation in human disease. Nucleic acids res 2009, 37: D98-D104. 10.1093/nar/gkn714PubMedCentralCrossRefPubMed Jiang Q, Wang Y, Hao Y, Juan L, Teng M, Zhang X, Li M, Wang G, Liu Y: miR2Disease: a manually curated database for microRNA deregulation in human disease. Nucleic acids res 2009, 37: D98-D104. 10.1093/nar/gkn714PubMedCentralCrossRefPubMed
12.
go back to reference Sethupathy P, Corda B, Hatzigeorgiou AG: TarBase: a comprehensive database of experimentally supported animal microRNA targets. Rna 2006, 12: 192–197.PubMedCentralCrossRefPubMed Sethupathy P, Corda B, Hatzigeorgiou AG: TarBase: a comprehensive database of experimentally supported animal microRNA targets. Rna 2006, 12: 192–197.PubMedCentralCrossRefPubMed
13.
go back to reference Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome res 2003, 13: 2498–2504. 10.1101/gr.1239303PubMedCentralCrossRefPubMed Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome res 2003, 13: 2498–2504. 10.1101/gr.1239303PubMedCentralCrossRefPubMed
14.
go back to reference Saito Y, Liang G, Egger G, Friedman JM, Chuang JC, Coetzee GA, Jones PA: Specific activation of microRNA-127 with downregulation of the proto-oncogene BCL6by chromatin-modifying drugs in human cancer cells. Cancer Cell 2006, 9: 435–443. 10.1016/j.ccr.2006.04.020CrossRefPubMed Saito Y, Liang G, Egger G, Friedman JM, Chuang JC, Coetzee GA, Jones PA: Specific activation of microRNA-127 with downregulation of the proto-oncogene BCL6by chromatin-modifying drugs in human cancer cells. Cancer Cell 2006, 9: 435–443. 10.1016/j.ccr.2006.04.020CrossRefPubMed
15.
go back to reference Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 2005, 120: 15–20. 10.1016/j.cell.2004.12.035CrossRefPubMed Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 2005, 120: 15–20. 10.1016/j.cell.2004.12.035CrossRefPubMed
16.
go back to reference Yang JH, Li JH, Shao P, Zhou H, Chen YQ, Qu LH: starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data. Nucleic acids res 2011, 39: D202-D209. 10.1093/nar/gkq1056PubMedCentralCrossRefPubMed Yang JH, Li JH, Shao P, Zhou H, Chen YQ, Qu LH: starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data. Nucleic acids res 2011, 39: D202-D209. 10.1093/nar/gkq1056PubMedCentralCrossRefPubMed
17.
go back to reference Betel D, Koppal A, Agius P, Sander C, Leslie C: Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome biology 2010, 11: R90. 10.1186/gb-2010-11-8-r90PubMedCentralCrossRefPubMed Betel D, Koppal A, Agius P, Sander C, Leslie C: Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome biology 2010, 11: R90. 10.1186/gb-2010-11-8-r90PubMedCentralCrossRefPubMed
18.
go back to reference Wang X, El Naqa IM: Prediction of both conserved and nonconserved microRNA targets in animals. Bioinformatics 2008, 24: 325–332. 10.1093/bioinformatics/btm595CrossRefPubMed Wang X, El Naqa IM: Prediction of both conserved and nonconserved microRNA targets in animals. Bioinformatics 2008, 24: 325–332. 10.1093/bioinformatics/btm595CrossRefPubMed
20.
go back to reference Bernhart SH, Tafer H, Mückstein U, Flamm C, Stadler PF, Hofacker IL: Partition function and base pairing probabilities of RNA heterodimers. Algorithms for Molecular Biology 2006, 1: 3. 10.1186/1748-7188-1-3PubMedCentralCrossRefPubMed Bernhart SH, Tafer H, Mückstein U, Flamm C, Stadler PF, Hofacker IL: Partition function and base pairing probabilities of RNA heterodimers. Algorithms for Molecular Biology 2006, 1: 3. 10.1186/1748-7188-1-3PubMedCentralCrossRefPubMed
21.
go back to reference Lin T, Dong W, Huang J, Pan Q, Fan X, Zhang C, Huang L: MicroRNA-143 as a tumor suppressor for bladder cancer. The J urology 2009, 181: 1372–1380. 10.1016/j.juro.2008.10.149CrossRef Lin T, Dong W, Huang J, Pan Q, Fan X, Zhang C, Huang L: MicroRNA-143 as a tumor suppressor for bladder cancer. The J urology 2009, 181: 1372–1380. 10.1016/j.juro.2008.10.149CrossRef
22.
go back to reference Lu Q, Lu C, Zhou GP, Zhang W, Xiao H, Wang XR: MicroRNA-221 silencing predisposed human bladder cancer cells to undergo apoptosis induced by TRAIL. Elsevier; 2010:635–641. Lu Q, Lu C, Zhou GP, Zhang W, Xiao H, Wang XR: MicroRNA-221 silencing predisposed human bladder cancer cells to undergo apoptosis induced by TRAIL. Elsevier; 2010:635–641.
23.
go back to reference Catto JWF, Miah S, Owen HC, Bryant H, Myers K, Dudziec E, Larré S, Milo M, Rehman I, Rosario DJ: Distinct microRNA alterations characterize high-and low-grade bladder cancer. Cancer res 2009, 69: 8472. 10.1158/0008-5472.CAN-09-0744PubMedCentralCrossRefPubMed Catto JWF, Miah S, Owen HC, Bryant H, Myers K, Dudziec E, Larré S, Milo M, Rehman I, Rosario DJ: Distinct microRNA alterations characterize high-and low-grade bladder cancer. Cancer res 2009, 69: 8472. 10.1158/0008-5472.CAN-09-0744PubMedCentralCrossRefPubMed
24.
go back to reference Friedman JM, Liang G, Liu CC, Wolff EM, Tsai YC, Ye W, Zhou X, Jones PA: The putative tumor suppressor microRNA-101 modulates the cancer epigenome by repressing the polycomb group protein EZH2. Cancer res 2009, 69: 2623. 10.1158/0008-5472.CAN-08-3114CrossRefPubMed Friedman JM, Liang G, Liu CC, Wolff EM, Tsai YC, Ye W, Zhou X, Jones PA: The putative tumor suppressor microRNA-101 modulates the cancer epigenome by repressing the polycomb group protein EZH2. Cancer res 2009, 69: 2623. 10.1158/0008-5472.CAN-08-3114CrossRefPubMed
25.
go back to reference Dyrskjøt L, Ostenfeld MS, Bramsen JB, Silahtaroglu AN, Lamy P, Ramanathan R, Fristrup N, Jensen JL, Andersen CL, Zieger K: Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro. Cancer res 2009, 69: 4851. 10.1158/0008-5472.CAN-08-4043CrossRefPubMed Dyrskjøt L, Ostenfeld MS, Bramsen JB, Silahtaroglu AN, Lamy P, Ramanathan R, Fristrup N, Jensen JL, Andersen CL, Zieger K: Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro. Cancer res 2009, 69: 4851. 10.1158/0008-5472.CAN-08-4043CrossRefPubMed
26.
go back to reference Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, Sweet-Cordero A, Ebert BL, Mak RH, Ferrando AA: MicroRNA expression profiles classify human cancers. Nature 2005, 435: 834–838. 10.1038/nature03702CrossRefPubMed Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, Sweet-Cordero A, Ebert BL, Mak RH, Ferrando AA: MicroRNA expression profiles classify human cancers. Nature 2005, 435: 834–838. 10.1038/nature03702CrossRefPubMed
27.
go back to reference Fruman DA, Cantley LC, Carpenter CL: Structural organization and alternative splicing of the murine phosphoinositide 3-kinase p85 (alpha) gene. Genomics 1996, 37: 113–121. 10.1006/geno.1996.0527CrossRefPubMed Fruman DA, Cantley LC, Carpenter CL: Structural organization and alternative splicing of the murine phosphoinositide 3-kinase p85 (alpha) gene. Genomics 1996, 37: 113–121. 10.1006/geno.1996.0527CrossRefPubMed
28.
go back to reference Cantley LC: The phosphoinositide 3-kinase pathway. Science Signaling 2002, 296: 1655. Cantley LC: The phosphoinositide 3-kinase pathway. Science Signaling 2002, 296: 1655.
29.
go back to reference Luo J, Manning BD, Cantley LC: Targeting the PI3K-Akt pathway in human cancer: rationale and promise. Cancer Cell 2003, 4: 257. 10.1016/S1535-6108(03)00248-4CrossRefPubMed Luo J, Manning BD, Cantley LC: Targeting the PI3K-Akt pathway in human cancer: rationale and promise. Cancer Cell 2003, 4: 257. 10.1016/S1535-6108(03)00248-4CrossRefPubMed
30.
go back to reference Knowles MA, Platt FM, Ross RL, Hurst CD: Phosphatidylinositol 3-kinase (PI3K) pathway activation in bladder cancer. Cancer and Metastasis Reviews 2009, 28: 305–316. 10.1007/s10555-009-9198-3PubMedCentralCrossRefPubMed Knowles MA, Platt FM, Ross RL, Hurst CD: Phosphatidylinositol 3-kinase (PI3K) pathway activation in bladder cancer. Cancer and Metastasis Reviews 2009, 28: 305–316. 10.1007/s10555-009-9198-3PubMedCentralCrossRefPubMed
31.
go back to reference Terauchi Y, Tsuji Y, Satoh S, Minoura H, Murakami K, Okuno A, Inukai K, Asano T, Kaburagi Y, Ueki K: Increased insulin sensitivity and hypoglycaemia in mice lacking the p85α subunit of phosphoinositide 3-kinase. Nature Genetics 1999, 21: 230–235. 10.1038/6023CrossRefPubMed Terauchi Y, Tsuji Y, Satoh S, Minoura H, Murakami K, Okuno A, Inukai K, Asano T, Kaburagi Y, Ueki K: Increased insulin sensitivity and hypoglycaemia in mice lacking the p85α subunit of phosphoinositide 3-kinase. Nature Genetics 1999, 21: 230–235. 10.1038/6023CrossRefPubMed
32.
go back to reference Sun M, Paciga JE, Feldman RI, Yuan Z-q, Coppola D, Lu YY, Shelley SA, Nicosia SV, Cheng JQ: Phosphatidylinositol-3-OH kinase (PI3K)/AKT2, activated in breast cancer, regulates and is induced by estrogen receptor α (ERα) via interaction between ERα and PI3K. Cancer res 2001, 61: 5985–5991.PubMed Sun M, Paciga JE, Feldman RI, Yuan Z-q, Coppola D, Lu YY, Shelley SA, Nicosia SV, Cheng JQ: Phosphatidylinositol-3-OH kinase (PI3K)/AKT2, activated in breast cancer, regulates and is induced by estrogen receptor α (ERα) via interaction between ERα and PI3K. Cancer res 2001, 61: 5985–5991.PubMed
Metadata
Title
RETRACTED ARTICLE: Integrated gene network analysis and text mining revealing PIK3R1 regulated by miR-127 in human bladder cancer
Authors
Yahong Xu
Shunwen Luo
Yang Liu
Jian Li
Yi Lu
Zhigang Jia
Qihua Zhao
Xiaoping Ma
Minghui Yang
Yue Zhao
Ping Chen
Yu Guo
Publication date
01-12-2013
Publisher
BioMed Central
Published in
European Journal of Medical Research / Issue 1/2013
Electronic ISSN: 2047-783X
DOI
https://doi.org/10.1186/2047-783X-18-29

Other articles of this Issue 1/2013

European Journal of Medical Research 1/2013 Go to the issue