Oncotarget

Research Papers:

Integrated analysis of chromosome copy number variation and gene expression in cervical carcinoma

Deng Yan, Song Yi, Wang Chi Chiu, Liu Gui Qin, Wong Hoi Kin, Chung Tony Kwok Hung, Han Linxiao, Choy Kwong Wai, Sui Yi, Yang Tao and Tang Tao _

PDF  |  HTML  |  How to cite

Oncotarget. 2017; 8:108912-108922. https://doi.org/10.18632/oncotarget.22403

Metrics: PDF 1489 views  |   HTML 2406 views  |   ?  


Abstract

Deng Yan1,2,*, Song Yi1,*, Wang Chi Chiu1,2, Liu Gui Qin3, Wong Hoi Kin1, Chung Tony Kwok Hung1, Han Linxiao4, Choy Kwong Wai1,2, Sui Yi5, Yang Tao6 and Tang Tao1,2

1Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China

2CUHK Shenzhen Research Institute, Shenzhen, China

3Shenzhen Laboratory of Ophthalmology, Shenzhen Eye Hospital, Affiliated Shenzhen Eye Hospital of Shenzhen University, Shenzhen, China

4Dongguan Third People’s Hospital, Dongguan, China

5Department of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

6Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China

*These authors have contributed equally to this work

Correspondence to:

Tang Tao, email: [email protected]

Yang Tao, email: [email protected]

Sui Yi, email: [email protected]

Keywords: cervical cancer; chromosome copy number variation; gene expression; cluster analysis; cell cycle pathways

Received: April 19, 2017    Accepted: September 21, 2017    Published: November 11, 2017

ABSTRACT

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 (4x44K). 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 (4x44K).

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.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 22403