» Articles » PMID: 21082043

Integrative Functional Genomics Analysis of Sustained Polyploidy Phenotypes in Breast Cancer Cells Identifies an Oncogenic Profile for GINS2

Overview
Journal Neoplasia
Publisher Elsevier
Specialty Oncology
Date 2010 Nov 18
PMID 21082043
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Aneuploidy is among the most obvious differences between normal and cancer cells. However, mechanisms contributing to development and maintenance of aneuploid cell growth are diverse and incompletely understood. Functional genomics analyses have shown that aneuploidy in cancer cells is correlated with diffuse gene expression signatures and aneuploidy can arise by a variety of mechanisms, including cytokinesis failures, DNA endoreplication, and possibly through polyploid intermediate states. To identify molecular processes contributing to development of aneuploidy, we used a cell spot microarray technique to identify genes inducing polyploidy and/or allowing maintenance of polyploid cell growth in breast cancer cells. Of 5760 human genes screened, 177 were found to induce severe DNA content alterations on prolonged transient silencing. Association with response to DNA damage stimulus and DNA repair was found to be the most enriched cellular processes among the candidate genes. Functional validation analysis of these genes highlighted GINS2 as the highest ranking candidate inducing polyploidy, accumulation of endogenous DNA damage, and impairing cell proliferation on inhibition. The cell growth inhibition and induction of polyploidy by suppression of GINS2 was verified in a panel of breast cancer cell lines. Bioinformatic analysis of published gene expression and DNA copy number studies of clinical breast tumors suggested GINS2 to be associated with the aggressive characteristics of a subgroup of breast cancers in vivo. In addition, nuclear GINS2 protein levels distinguished actively proliferating cancer cells suggesting potential use of GINS2 staining as a biomarker of cell proliferation as well as a potential therapeutic target.

Citing Articles

Exploring Key Genes with Diagnostic Value for Nonalcoholic Steatohepatitis Based on Bioinformatics Analysis.

Zeng W, Xu X, Xu F, Zhu F, Li Y, Ma J ACS Omega. 2023; 8(23):20959-20967.

PMID: 37323410 PMC: 10268261. DOI: 10.1021/acsomega.3c01709.


Cisplatin-Resistant Ovarian Cancer Cells Reveal a Polyploid Phenotype with Remarkable Activation of Nuclear Processes.

Adibi R, Moein S, Gheisari Y Adv Biomed Res. 2023; 12:77.

PMID: 37200756 PMC: 10186044. DOI: 10.4103/abr.abr_348_21.


Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success.

Casotti M, Meira D, Zetum A, de Araujo B, Campos da Silva D, Santos E Genes (Basel). 2023; 14(4).

PMID: 37107559 PMC: 10137723. DOI: 10.3390/genes14040801.


Go-Ichi-Ni-San 2: A potential biomarker and therapeutic target in human cancers.

Shan D, Zheng Q, Chen Z World J Gastrointest Oncol. 2022; 14(10):1892-1902.

PMID: 36310704 PMC: 9611433. DOI: 10.4251/wjgo.v14.i10.1892.


GINS2 Is Downregulated in Peripheral Blood of Patients with Intervertebral Disk Degeneration and Promotes Proliferation and Migration of Nucleus Pulposus Cells.

Jiang H, Sun H, Dai J, Zhang C, Tang X Comput Math Methods Med. 2022; 2022:1986348.

PMID: 36092790 PMC: 9462986. DOI: 10.1155/2022/1986348.


References
1.
J van t Veer L, Dai H, van de Vijver M, He Y, Hart A, Mao M . Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002; 415(6871):530-6. DOI: 10.1038/415530a. View

2.
Takayama Y, Kamimura Y, Okawa M, Muramatsu S, Sugino A, Araki H . GINS, a novel multiprotein complex required for chromosomal DNA replication in budding yeast. Genes Dev. 2003; 17(9):1153-65. PMC: 196052. DOI: 10.1101/gad.1065903. View

3.
Boskovic J, Coloma J, Aparicio T, Zhou M, Robinson C, Mendez J . Molecular architecture of the human GINS complex. EMBO Rep. 2007; 8(7):678-84. PMC: 1905900. DOI: 10.1038/sj.embor.7401002. View

4.
Kanemaki M, Sanchez-Diaz A, Gambus A, Labib K . Functional proteomic identification of DNA replication proteins by induced proteolysis in vivo. Nature. 2003; 423(6941):720-4. DOI: 10.1038/nature01692. View

5.
Kopfstein L, Christofori G . Metastasis: cell-autonomous mechanisms versus contributions by the tumor microenvironment. Cell Mol Life Sci. 2006; 63(4):449-68. PMC: 11136348. DOI: 10.1007/s00018-005-5296-8. View