Objective: This study was conducted to explore chromosomal copy number variations (CNV) and transcript expression and to examine pathways in cervical pathogenesis using genome-wide high resolution microarrays. Methods: Genome-wide chromosomal CNVs were investigated in 6 cervical cancer cell lines by Human Genome CGH Microarray Kit (4×44K). Gene expression profiles in cervical cancer cell lines, primary cervical carcinoma and normal cervical epithelium tissues were also studied using the Whole Human Genome Microarray Kit (4×44K). Results: Fifty common chromosomal CNVs were identified in the cervical cancer cell lines. Correlation analysis revealed that gene up-regulation or down-regulation is significantly correlated with genomic amplification (P=0.009) or deletion (P=0.006) events. Expression profiles were identified through cluster analysis. Gene annotation analysis pinpointed cell cycle pathways was significantly (P=1.15E-08) affected in cervical cancer. Common CNVs were associated with cervical cancer. Conclusion: Chromosomal CNVs may contribute to their transcript expression in cervical cancer.
Yan, D., Yi, S., Chiu, W. C., Qin, L. G., Kin, W. H., Kwok Hung, C. T., … Tao, T. (2017). Integrated analysis of chromosome copy number variation and gene expression in cervical carcinoma. Oncotarget, 8(65), 108912–108922. https://doi.org/10.18632/oncotarget.22403