Overexpression of NCAPH is upregulated and predicts a poor prognosis in prostate cancer

  • Authors:
    • Feilun Cui
    • Jianpeng Hu
    • Zhipeng Xu
    • Jian Tan
    • Huaming Tang
  • View Affiliations

  • Published online on: April 17, 2019     https://doi.org/10.3892/ol.2019.10260
  • Pages: 5768-5776
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Abstract

Prostate cancer (PCa) is one of the most frequently diagnosed types of cancer worldwide. However, there remains a lack of accurate biomarkers to predict the outcome of PCa. Non‑SMC condensin I complex subunit H (NCAPH) encodes a regulatory subunit of the non‑structural maintenance of chromosomes condensin I complex. The present study aimed to investigate whether NCAPH may be a novel diagnostic marker for PCa by analyzing public datasets, including GSE17951, GSE55945 and a dataset from The Cancer Genome Atlas. The current results, to the best of our knowledge, demonstrated for the first time that NCAPH is significantly upregulated in PCa. Furthermore, it was identified that NCAPH expression is higher in stage T3/T4 and N1 PCa samples compared with stage T2 and N0 PCa samples, respectively. Kaplan‑Meier analysis demonstrated that overexpression of NCAPH is associated with poor survival of patients with PCa. Bioinformatics analysis revealed that NCAPH is involved in regulating the PCa cell cycle by interacting with a number of proteins, including non‑SMC condensin I complex subunit D2, non‑SMC condensin I complex subunit G, structural maintenance of chromosomes 4, structural maintenance of chromosomes 2, Aurora kinase A, Aurora kinase B, cyclin‑dependent kinase 1, H2A histone family member Z, POC1 centriolar protein A and histone cluster 2 H2A family member C. In summary, the present results suggest NCAPH may be a novel and beneficial diagnostic and therapeutic target in PCa.

References

1 

Hirano T: Condensins: Universal organizers of chromosomes with diverse functions. Genes Dev. 26:1659–1678. 2012. View Article : Google Scholar : PubMed/NCBI

2 

Wood AJ, Severson AF and Meyer BJ: Condensin and cohesin complexity: The expanding repertoire of functions. Nat Rev Genet. 11:391–404. 2010. View Article : Google Scholar : PubMed/NCBI

3 

Schleiffer A, Kaitna S, Maurer-Stroh S, Glotzer M, Nasmyth K and Eisenhaber F: Kleisins: A superfamily of bacterial and eukaryotic SMC protein partners. Mol Cell. 11:571–575. 2003. View Article : Google Scholar : PubMed/NCBI

4 

Zhang Q, Su R, Shan C, Gao C and Wu P: Non-SMC condensin i complex, subunit G (NCAPG) is a novel mitotic gene required for hepatocellular cancer cell proliferation and migration. Oncol Res. 26:269–276. 2018. View Article : Google Scholar : PubMed/NCBI

5 

Yin L, Jiang LP, Shen QS, Xiong QX, Zhuo X, Zhang LL, Yu HJ, Guo X, Luo Y, Dong J, et al: NCAPH plays important roles in human colon cancer. Cell Death Dis. 8:e26802017. View Article : Google Scholar : PubMed/NCBI

6 

Ryu B, Kim DS, Deluca AM and Alani RM: Comprehensive expression profiling of tumor cell lines identifies molecular signatures of melanoma progression. PLoS One. 2:e5942007. View Article : Google Scholar : PubMed/NCBI

7 

Liu W, Liang B, Liu H, Huang Y, Yin X, Zhou F, Yu X, Feng Q, Li E, Zou Z and Wu L: Overexpression of non-SMC condensin I complex subunit G serves as a promising prognostic marker and therapeutic target for hepatocellular carcinoma. Int J Mol Med. 40:731–738. 2017. View Article : Google Scholar : PubMed/NCBI

8 

Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM, Montgomery B, Taplin ME, Pritchard CC, Attard G, et al: Integrative clinical genomics of advanced prostate cancer. Cell. 161:1215–1228. 2015. View Article : Google Scholar : PubMed/NCBI

9 

Chen C, Sun C, Tang D, Yang G, Zhou X and Wang D: Identification of key genes in glioblastoma-associated stromal cells using bioinformatics analysis. Oncol Lett. 11:3999–4007. 2016. View Article : Google Scholar : PubMed/NCBI

10 

Nowroozi MR, Momeni SA, Ohadian Moghadam S, Ayati E, Mortazavi A, Arfae S, Jamshidian H, Taherimahmoudi M and Ayati M: Prostate-specific antigen density and gleason score predict adverse pathologic features in patients with clinically localized prostate cancer. Nephrourol Mon. 8:e399842016. View Article : Google Scholar : PubMed/NCBI

11 

Kuriyama M, Wang MC, Lee CI, Papsidero LD, Killian CS, Inaji H, Slack NH, Nishiura T, Murphy GP and Chu TM: Use of human prostate-specific antigen in monitoring prostate cancer. Cancer Res. 41:3874–3876. 1981.PubMed/NCBI

12 

Bazett-Jones DP, Kimura K and Hirano T: Efficient supercoiling of DNA by a single condensin complex as revealed by electron spectroscopic imaging. Mol Cell. 9:1183–1190. 2002. View Article : Google Scholar : PubMed/NCBI

13 

Neuwald AF and Hirano T: HEAT repeats associated with condensins, cohesins, and other complexes involved in chromosome-related functions. Genome Res. 10:1445–1452. 2000. View Article : Google Scholar : PubMed/NCBI

14 

Viera A, Gomez R, Parra MT, Schmiesing JA, Yokomori K, Rufas JS and Suja JA: Condensin I reveals new insights on mouse meiotic chromosome structure and dynamics. PLoS One. 2:e7832007. View Article : Google Scholar : PubMed/NCBI

15 

Buyyounouski MK, Choyke PL, McKenney JK, Sartor O, Sandler HM, Amin MB, Kattan MW and Lin DW: Prostate cancer-major changes in the American joint committee on cancer eighth edition cancer staging manual. CA Cancer J Clin. 67:245–253. 2017. View Article : Google Scholar : PubMed/NCBI

16 

Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, et al: Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 6:pl12013. View Article : Google Scholar : PubMed/NCBI

17 

Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, et al: A pathology atlas of the human cancer transcriptome. Science. 357(pii): eaan25072017. View Article : Google Scholar : PubMed/NCBI

18 

Taylor BS, Schultz N, Hieronymus H, Gopalan A, Xiao Y, Carver BS, Arora VK, Kaushik P, Cerami E, Reva B, et al: Integrative genomic profiling of human prostate cancer. Cancer Cell. 18:11–22. 2010. View Article : Google Scholar : PubMed/NCBI

19 

Jia Z, Wang Y, Sawyers A, Yao H, Rahmatpanah F, Xia XQ, Xu Q, Pio R, Turan T, Koziol JA, et al: Diagnosis of prostate cancer using differentially expressed genes in stroma. Cancer Res. 71:2476–2487. 2011. View Article : Google Scholar : PubMed/NCBI

20 

Arredouani MS, Lu B, Bhasin M, Eljanne M, Yue W, Mosquera JM, Bubley GJ, Li V, Rubin MA, Libermann TA and Sanda MG: Identification of the transcription factor single-minded homologue 2 as a potential biomarker and immunotherapy target in prostate cancer. Clin Cancer Res. 15:5794–5802. 2009. View Article : Google Scholar : PubMed/NCBI

21 

Dennis G Jr, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC and Lempicki RA: DAVID: Database for annotation, visualization, and integrated discovery. Genome Biol. 4:P32003. View Article : Google Scholar : PubMed/NCBI

22 

Jensen LJ, Kuhn M, Stark M, Chaffron S, Creevey C, Muller J, Doerks T, Julien P, Roth A, Simonovic M, et al: STRING 8-a global view on proteins and their functional interactions in 630 organisms. Nucleic Acids Res 37 (Database Issue). D412–D416. 2009. View Article : Google Scholar

23 

Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI

24 

Wang Y, Xia XQ, Jia Z, Sawyers A, Yao H, Wang-Rodriquez J, Mercola D and McClelland M: In silico estimates of tissue components in surgical samples based on expression profiling data. Cancer Res. 70:6448–6455. 2010. View Article : Google Scholar : PubMed/NCBI

25 

Zhang Y, Li Z, Yang M, Wang D, Yu L, Guo C, Guo X and Lin N: Identification of GRB2 and GAB1 coexpression as an unfavorable prognostic factor for hepatocellular carcinoma by a combination of expression profile and network analysis. PLoS One. 8:e851702013. View Article : Google Scholar : PubMed/NCBI

26 

Miao L, Huang Z, Zengli Z, Li H, Chen Q, Yao C, Cai H, Xiao Y, Xia H and Wang Y: Loss of long noncoding RNA FOXF1-AS1 regulates epithelial-mesenchymal transition, stemness and metastasis of non-small cell lung cancer cells. Oncotarget. 7:68339–68349. 2016. View Article : Google Scholar : PubMed/NCBI

27 

Vidal M, Cusick ME and Barabasi AL: Interactome networks and human disease. Cell. 144:986–998. 2011. View Article : Google Scholar : PubMed/NCBI

28 

Huttlin EL, Bruckner RJ, Paulo JA, Cannon JR, Ting L, Baltier K, Colby G, Gebreab F, Gygi MP, Parzen H, et al: Architecture of the human interactome defines protein communities and disease networks. Nature. 545:505–509. 2017. View Article : Google Scholar : PubMed/NCBI

29 

Tapon N, Harvey KF, Bell DW, Wahrer DC, Schiripo TA, Haber D and Hariharan IK: Salvador promotes both cell cycle exit and apoptosis in Drosophila and is mutated in human cancer cell lines. Cell. 110:467–478. 2002. View Article : Google Scholar : PubMed/NCBI

30 

Hartwell L: Defects in a cell cycle checkpoint may be responsible for the genomic instability of cancer cells. Cell. 71:543–546. 1992. View Article : Google Scholar : PubMed/NCBI

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June 2019
Volume 17 Issue 6

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APA
Cui, F., Hu, J., Xu, Z., Tan, J., & Tang, H. (2019). Overexpression of NCAPH is upregulated and predicts a poor prognosis in prostate cancer. Oncology Letters, 17, 5768-5776. https://doi.org/10.3892/ol.2019.10260
MLA
Cui, F., Hu, J., Xu, Z., Tan, J., Tang, H."Overexpression of NCAPH is upregulated and predicts a poor prognosis in prostate cancer". Oncology Letters 17.6 (2019): 5768-5776.
Chicago
Cui, F., Hu, J., Xu, Z., Tan, J., Tang, H."Overexpression of NCAPH is upregulated and predicts a poor prognosis in prostate cancer". Oncology Letters 17, no. 6 (2019): 5768-5776. https://doi.org/10.3892/ol.2019.10260