Abstract
GINS2, a subunit of the GINS complex, is overexpressed in lung adenocarcinoma and metastatic breast tumor; however, its prognostic power and possible molecular mechanisms in breast cancer (BC) remain unclear. In this study, we aimed to explore the function of GINS2 in BC. The association between GINS2 transcript level and the clinical outcome of BC patients were estimated using Kaplan–Meier plots, multivariate cox regression analysis, forest plots, and receiver operating characteristics curves. Gene set enrichment analysis (GSEA) was performed to explore the mechanisms underlying the effects of the GINS2 transcript. High GINS2 transcript level was correlated with poor relapse free survival (log-rank P ≤ 0.001 in six cohorts; forest plot: total n = 1,420, total RR = 1.72, 95 % CI 1.45–2.03; multivariate cox regression analysis: n = 906, HR 2.36, 95 % CI 1.88–2.97), and distant metastasis free survival (log-rank P < 0.01 in 3 cohorts; forest plot: total n = 691, total RR 1.91, 95 % CI 1.36–2.67; multivariate cox regression analysis: n = 442, HR 2.43, 95 % CI 1.70–3.47). BC patients with higher GINS2 transcript levels showed poorer tamoxifen efficacy in a dose-dependent manner. GINS2 expression was significantly downregulated under mutated p53-depleted condition in MDA-468 and MDA-MB-231 cells, upregulated in mammary cancer stem cells (MaCSCs) (P = 0.003), and correlated with upregulated genes in mammary stem cells (GSEA: P < 0.01). Our study, for the first time, demonstrates that GINS2 is an independent prognostic marker and is associated with lung metastasis, histological grade, and endocrine therapy resistance in BC patients, which may attribute to mutant p53 and MaCSCs.
This is a preview of subscription content, access via your institution.





Abbreviations
- BC:
-
Breast cancer
- RFS:
-
Relapse free survival
- DMFS:
-
Distant metastasis free survival
- DSS:
-
Disease-specific survival
- HR:
-
Hazard ratio
- CI:
-
Confidence interval
- ER:
-
Estrogen receptor
- PgR:
-
Progesterone receptor
- ESRRA:
-
Estrogen receptor 1
- GEO:
-
Gene Expression Omnibus
- GSEA:
-
Gene Set Enrichment Analysis
- ROC:
-
Curve receiver operating characteristics curve
References
Siegel R, Ma J, Zou Z, Jemal A (2014) Cancer statistics. CA Cancer J Clin 64(1):9–29. doi:10.3322/caac.21208
DeSantis C, Ma J, Bryan L, Jemal A (2013) Breast cancer statistics. CA Cancer J Clin 64(1):52–62. doi:10.3322/caac.21203
Scully OJ, Bay BH, Yip G, Yu Y (2012) Breast cancer metastasis. Cancer Genomics Proteomics 9(5):311–320
MacNeill SA (2010) Structure and function of the GINS complex, a key component of the eukaryotic replisome. Biochem J 425(3):489–500. doi:10.1042/BJ20091531
Labib K, Gambus A (2007) A key role for the GINS complex at DNA replication forks. Trends Cell Biol 17(6):271–278. doi:10.1016/j.tcb.2007.04.002
Tumini E, Plevani P, Muzi-Falconi M, Marini F (2011) Physical and functional crosstalk between Fanconi anemia core components and the GINS replication complex. DNA Repair (Amst) 10(2):149–158. doi:10.1016/j.dnarep.2010.10.006
Gao Y, Wang S, Liu B, Zhong L (2013) Roles of GINS2 in K562 human chronic myelogenous leukemia and NB4 acute promyelocytic leukemia cells. Int J Mol Med 31(6):1402–1410. doi:10.3892/ijmm.2013.1339
Liu M, Pan H, Zhang F, Zhang YB, Zhang Y, Xia H, Zhu J, Fu WL, Zhang XL (2013) Screening of differentially expressed genes among various TNM stages of lung adenocarcinoma by genomewide gene expression profile analysis. Asian Pac J Cancer Prev 14(11):6281–6286
Thomassen M, Tan Q, Kruse TA (2009) Gene expression meta-analysis identifies chromosomal regions and candidate genes involved in breast cancer metastasis. Breast Cancer Res Treat 113(2):239–249. doi:10.1007/s10549-008-9927-2
Rantala JK, Edgren H, Lehtinen L, Wolf M, Kleivi K, Vollan HK, Aaltola AR, Laasola P, Kilpinen S, Saviranta P, Iljin K, Kallioniemi O (2010) Integrative functional genomics analysis of sustained polyploidy phenotypes in breast cancer cells identifies an oncogenic profile for GINS2. Neoplasia 12(11):877–888
Edgar R, Domrachev M, Lash AE (2002) Gene expression omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30(1):207–210
Tan PK, Downey TJ, Spitznagel EJ, Xu P, Fu D, Dimitrov DS, Lempicki RA, Raaka BM, Cam MC (2003) Evaluation of gene expression measurements from commercial microarray platforms. Nucleic Acids Res 31(19):5676–5684
Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP (2003) Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4(2):249–264. doi:10.1093/biostatistics/4.2.249
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP (2005) Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102(43):15545–15550. doi:10.1073/pnas.0506580102
Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ (2013) Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database. PLoS ONE 8(4):e58201. doi:10.1371/journal.pone.0058201
DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188
Lim E, Wu D, Pal B, Bouras T, Asselin-Labat ML, Vaillant F, Yagita H, Lindeman GJ, Smyth GK, Visvader JE (2010) Transcriptome analyses of mouse and human mammary cell subpopulations reveal multiple conserved genes and pathways. Breast Cancer Res 12(2):R21. doi:10.1186/bcr2560
Pece S, Tosoni D, Confalonieri S, Mazzarol G, Vecchi M, Ronzoni S, Bernard L, Viale G, Pelicci PG, Di Fiore PP (2010) Biological and molecular heterogeneity of breast cancers correlates with their cancer stem cell content. Cell 140(1):62–73. doi:10.1016/j.cell.2009.12.007
Johnston SR (2010) New strategies in estrogen receptor-positive breast cancer. Clin Cancer Res 16(7):1979–1987. doi:10.1158/1078-0432.CCR-09-1823
Weigelt B, Peterse JL, van, TVL (2005) Breast cancer metastasis: markers and models. Nat Rev Cancer 5(8):591–602. doi:10.1038/nrc1670
Criscitiello C, Andre F, Thompson AM, De Laurentiis M, Esposito A, Gelao L, Fumagalli L, Locatelli M, Minchella I, Orsi F, Goldhirsch A, Curigliano G (2014) Biopsy confirmation of metastatic sites in breast cancer patients: clinical impact and future perspectives. Breast Cancer Res 16(2):205
Olivier M, Langerod A, Carrieri P, Bergh J, Klaar S, Eyfjord J, Theillet C, Rodriguez C, Lidereau R, Bieche I, Varley J, Bignon Y, Uhrhammer N, Winqvist R, Jukkola-Vuorinen A, Niederacher D, Kato S, Ishioka C, Hainaut P, Borresen-Dale AL (2006) The clinical value of somatic TP53 gene mutations in 1,794 patients with breast cancer. Clin Cancer Res 12(4):1157–1167. doi:10.1158/1078-0432.CCR-05-1029
Zhang X, Zhong L, Liu BZ, Gao YJ, Gao YM, Hu XX (2013) Effect of GINS2 on proliferation and apoptosis in leukemic cell line. Int J Med Sci 10(12):1795–1804. doi:10.7150/ijms.7025
Schwartz AM, Henson DE, Chen D, Rajamarthandan S (2014) Histologic grade remains a prognostic factor for breast cancer regardless of the number of positive lymph nodes and tumor size: a study of 161 708 cases of breast cancer from the SEER program. Arch Pathol Lab Med 138(8):1048–1052. doi:10.5858/arpa.2013-0435-OA
Monteiro J, Gaspar C, Richer W, Franken PF, Sacchetti A, Joosten R, Idali A, Brandao J, Decraene C, Fodde R (2014) Cancer stemness in Wnt-driven mammary tumorigenesis. Carcinogenesis 35(1):2–13. doi:10.1093/carcin/bgt279
Haldosen LA, Zhao C, Dahlman-Wright K (2014) Estrogen receptor beta in breast cancer. Mol Cell Endocrinol 382(1):665–672. doi:10.1016/j.mce.2013.08.005
Stanford JL, Szklo M, Brinton LA (1986) Estrogen receptors and breast cancer. Epidemiol Rev 8:42–59
O’Brien CS, Farnie G, Howell SJ, Clarke RB (2011) Breast cancer stem cells and their role in resistance to endocrine therapy. Horm Cancer 2(2):91–103. doi:10.1007/s12672-011-0066-6
Ahmad A (2013) Pathways to breast cancer recurrence. ISRN Oncol 2013:290568. doi:10.1155/2013/290568
Acknowledgments
We thank Pan Luxiang, Guo Xu, and Prof. Xing Jinliang for their technical assistance in this project. This work was supported by NO. 81030058 from the National Natural Science Foundation of China and NO. 2015CB553704 from the National Basic Research Program.
Conflict of interest
We declare no potential competing financial interests. The experiments described in the manuscript comply with the current laws of the countries in which they were performed.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Zheng Ming and Zhou Yinghui contributed equally to this work.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Zheng, M., Zhou, Y., Yang, X. et al. High GINS2 transcript level predicts poor prognosis and correlates with high histological grade and endocrine therapy resistance through mammary cancer stem cells in breast cancer patients. Breast Cancer Res Treat 148, 423–436 (2014). https://doi.org/10.1007/s10549-014-3172-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10549-014-3172-7
Keywords
- Breast cancer
- GINS2
- Relapse
- Metastasis
- Endocrine therapy resistance
- Mammary cancer stem cell