Functional analysis of human cancer‑associated genes and their association with the testes and epididymis

Hua,Xiu‑Feng; Wang,Xue‑Bo; Liu,Fu‑Jun

doi:10.3892/ol.2013.1450

Functional analysis of human cancer‑associated genes and their association with the testes and epididymis

Authors:
- Xiu‑Feng Hua
- Xue‑Bo Wang
- Fu‑Jun Liu
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Affiliations: Department of Endocrinology, Yu‑Huang‑Ding Hospital/Qingdao University, Yantai, Shandong 264000, P.R. China, Clinical Laboratory, Yu‑Huang‑Ding Hospital/Qingdao University, Yantai, Shandong 264000, P.R. China, Central Laboratory, Yu‑Huang‑Ding Hospital/Qingdao University, Yantai, Shandong 264000, P.R. China
Published online on: July 8, 2013 https://doi.org/10.3892/ol.2013.1450
Pages: 811-816

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Abstract

Human cancer‑associated UniGene sets (NCBI GeneBank) provide a platform for identifying differentially‑expressed genes in human cancers. The present study identified and characterized a set of human cancer‑associated genes using the Digital Differential Display (DDD) and functional analysis tools. A total of 1,904 genes were differentially expressed in 15 cancer types, including genes that had been previously shown to be specific in certain human cancers. A total of 274 genes were uniquely expressed in certain cancer types, including 37 genes that were highly expressed in the human testes and epididymis. These genes mainly functioned as ribosomal proteins, enzymes, receptors, secretory proteins and cell adhesion molecules. The most common domains that were encoded by the cancer‑associated genes were those of cytochrome P450 CYP2D6, serpin and apolipoprotein A‑I. A further gene ontology (GO) enrichment analysis revealed seven major functional clusters, which corresponded to the enriched pathways involved in cancer. The present study provides a source of cancer‑associated genes and their functions. The results provide new insights into cancer biology and the involvement of highly‑expressed epididymal genes in cancer biomarkers.

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1	Hanahan D and Weinberg RA: Hallmarks of cancer: the next generation. Cell. 144:646–674. 2011. View Article : Google Scholar : PubMed/NCBI
2	Gray JW and Collins C: Genome changes and gene expression in human solid tumors. Carcinogenesis. 21:443–452. 2000. View Article : Google Scholar : PubMed/NCBI
3	Klijn C, Holstege H, de Ridder J, Liu X, Reinders M, Jonkers J and Wessels L: Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data. Nucleic Acids Res. 36:e132008. View Article : Google Scholar : PubMed/NCBI
4	Li BQ, Huang T, Liu L, Cai YD and Chou KC: Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network. PLoS One. 7:e333932012. View Article : Google Scholar : PubMed/NCBI
5	Wu Y, Wang X, Wu F, Huang R, Xue F, Liang G, Tao M, Cai P and Huang Y: Transcriptome profiling of the cancer, adjacent non-tumor and distant normal tissues from a colorectal cancer patient by deep sequencing. PLoS One. 7:e410012012. View Article : Google Scholar : PubMed/NCBI
6	Diamond JR, Borges VF, Eckhardt SG and Jimeno A: BRCA in breast cancer: from risk assessment to therapeutic prediction. Drug News Perspect. 22:603–608. 2009. View Article : Google Scholar : PubMed/NCBI
7	Balk SP, Ko YJ and Bubley GJ: Biology of prostate-specific antigen. J Clin Oncol. 21:383–391. 2003. View Article : Google Scholar : PubMed/NCBI
8	Hellström I, Raycraft J, Hayden-Ledbetter M, Ledbetter JA, Schummer M, McIntosh M, Drescher C, Urban N and Hellström KE: The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma. Cancer Res. 63:3695–3700. 2003.PubMed/NCBI
9	Fu-Jun L, Hai-Yan W and Jian-Yuan L: A new analysis of testicular proteins through integrative bioinformatics. Mol Biol Rep. 39:3965–3970. 2012. View Article : Google Scholar : PubMed/NCBI
10	Liu F, Jin S, Li N, Liu X, Wang H and Li J: Comparative and functional analysis of testis-specific genes. Biol Pharm Bull. 34:28–35. 2011. View Article : Google Scholar : PubMed/NCBI
11	Fu-Jun L and Xiao-Fang S: Comparative analysis of human reproductive proteomes identifies candidate proteins of sperm maturation. Mol Biol Rep. 39:10257–10263. 2012. View Article : Google Scholar : PubMed/NCBI
12	Li JY, Wang HY, Liu J, Liu Q, Zhang JS, Wan FC, Liu FJ, Jin SH and Zhang YL: Transcriptome analysis of a cDNA library from adult human epididymis. DNA Res. 15:115–122. 2008. View Article : Google Scholar : PubMed/NCBI
13	Li SJ, Peng M, Li H, Liu BS, Wang C, Wu JR, Li YX and Zeng R: Sys-BodyFluid: a systematical database for human body fluid proteome research. Nucleic Acids Res. 37(database issue): D907–D912. 2009. View Article : Google Scholar : PubMed/NCBI
14	da Cunha JP, Galante PA, de Souza JE, de Souza RF, Carvalho PM, Ohara DT, Moura RP, Oba-Shinja SM, Marie SK, Silva WA Jr, et al: Bioinformatics construction of the human cell surfaceome. Proc Natl Acad Sci USA. 106:16752–16757. 2009.PubMed/NCBI
15	Liu FJ, Hua XF and Wang WJ: A new bioinformatics insight into human cancer-associated proteins. Oncol Rep. 27:1932–1936. 2012.PubMed/NCBI
16	Fu-Jun L, Shao-Hua J and Xiao-Fang S: Differential proteomic analysis of pathway biomarkers in human breast cancer by integrated bioinformatics. Oncol Lett. 4:1097–1103. 2012.PubMed/NCBI
17	Lo HW, Day CP and Hung MC: Cancer-specific gene therapy. Adv Genet. 54:235–255. 2005.
18	Langmár Z, Németh M, Vleskó G, Király M, Hornyák L and Bösze P: HE4 - a novel promising serum marker in the diagnosis of ovarian carcinoma. Eur J Gynaecol Oncol. 32:605–610. 2011.PubMed/NCBI
19	Rodriguez-Antona C and Ingelman-Sundberg M: Cytochrome P450 pharmacogenetics and cancer. Oncogene. 25:1679–1691. 2006. View Article : Google Scholar : PubMed/NCBI
20	Chang WS, Chang NT, Lin SC, Wu CW and Wu FY: Tissue-specific cancer-related serpin gene cluster at human chromosome band 3q26. Genes Chromosomes Cancer. 29:240–255. 2000. View Article : Google Scholar : PubMed/NCBI
21	Su F, Kozak KR, Imaizumi S, Gao F, Amneus MW, Grijalva V, Ng C, Wagner A, Hough G, Farias-Eisner G, Anantharamaiah GM, Van Lenten BJ, Navab M, Fogelman AM, Reddy ST and Farias-Eisner R: Apolipoprotein A-I (apoA-I) and apoA-I mimetic peptides inhibit tumor development in a mouse model of ovarian cancer. Proc Natl Acad Sci USA. 107:19997–20002. 2010. View Article : Google Scholar
22	Wang X, Dai S, Zhang Z, Liu L, Wang J, Xiao X, He D and Liu B: Characterization of apolipoprotein A-I as a potential biomarker for cholangiocarcinoma. Eur J Cancer Care (Engl). 18:625–635. 2009. View Article : Google Scholar : PubMed/NCBI
23	Lai MD and Xu J: Ribosomal proteins and colorectal cancer. Curr Genomics. 8:43–49. 2007. View Article : Google Scholar : PubMed/NCBI
24	Ruggero D and Pandolfi PP: Does the ribosome translate cancer? Nat Rev Cancer. 3:179–192. 2003. View Article : Google Scholar : PubMed/NCBI
25	Kasai H, Nadano D, Hidaka E, Higuchi K, Kawakubo M, Sato TA and Nakayama J: Differential expression of ribosomal proteins in human normal and neoplastic colorectum. J Histochem Cytochem. 51:567–574. 2003. View Article : Google Scholar : PubMed/NCBI
26	Singhai R, Patil VW, Jaiswal SR, Patil SD, Tayade MB and Patil AV: E-Cadherin as a diagnostic biomarker in breast cancer. N Am J Med Sci. 3:227–233. 2011. View Article : Google Scholar : PubMed/NCBI
27	Albergaria A, Ribeiro AS, Vieira AF, Sousa B, Nobre AR, Seruca R, Schmitt F and Paredes J: P-cadherin role in normal breast development and cancer. Int J Dev Biol. 55:811–822. 2011. View Article : Google Scholar : PubMed/NCBI
28	Montagnana M, Danese E, Giudici S, Franchi M, Guidi GC, Plebani M and Lippi G: HE4 in ovarian cancer: from discovery to clinical application. Adv Clin Chem. 55:1–20. 2011. View Article : Google Scholar : PubMed/NCBI
29	Wei X, Moncada-Pazos A, Cal S, Soria-Valles C, Gartner J, Rudloff U, Lin JC, Rosenberg SA, López-Otín C and Samuels Y; NISC Comparative Sequencing Program. Analysis of the disintegrin-metalloproteinases family reveals ADAM29 and ADAM7 are often mutated in melanoma. Hum Mutat. 32:E2148–E2175. 2011. View Article : Google Scholar : PubMed/NCBI
30	Izumi K, Zheng Y and Miyamoto H: Eppin expression in prostate cancer. Eur Urol. 59:1071–1072. 2011. View Article : Google Scholar : PubMed/NCBI