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A systematic comparison of copy number alterations in four types of female cancer
- Source :
- BMC Cancer
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Background Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, genes, and pathways. Methods In this work, we analyzed tissue samples from patients with breast (n = 112), ovarian (n = 74), endometrial (n = 84), or cervical (n = 76) cancer. To identify genomic aberrations, the Circular Binary Segmentation (CBS) and Piecewise Constant Fitting (PCF) algorithms were used and segmentation thresholds optimized. The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was applied to the segmented data to identify significantly altered regions and the associated genes were analyzed by Ingenuity Pathway Analysis (IPA) to detect over-represented pathways and functions within the identified gene sets. Results and Discussion Analyses of high-resolution copy number alterations in four different female cancer types are presented. For appropriately adjusted segmentation parameters the two segmentation algorithms CBS and PCF performed similarly. We identified one region at 8q24.3 with focal aberrations that was altered at significant frequency across all four cancer types. Considering both, broad regions and focal peaks, three additional regions with gains at significant frequency were revealed at 1p21.1, 8p22, and 13q21.33, respectively. Several of these events involve known cancer-related genes, like PPP2R2A, PSCA, PTP4A3, and PTK2. In the female reproductive system (ovarian, endometrial, and cervix [OEC]), we discovered three common events: copy number gains at 5p15.33 and 15q11.2, further a copy number loss at 8p21.2. Interestingly, as many as 75% of the aberrations (75% amplifications and 86% deletions) identified by GISTIC were specific for just one cancer type and represented distinct molecular pathways. Conclusions Our results disclose that some prominent copy number changes are shared in the four examined female, hormone-dependent cancer whereas others are definitive to specific cancer types. Note to Correction: After publication of the original article [1] the authors found that the article contained an incorrect version of Fig. 4. This does not affect the results and conclusions of the article.
- Subjects :
- 0301 basic medicine
Oncology
Cancer Research
Uterine Cervical Neoplasms
Breast cancer
0302 clinical medicine
Endometrial cancer
Neoplasms
Databases, Genetic
Epidemiology of cancer
Cluster Analysis
Ovarian Neoplasms
Cervical cancer
Genomics
Copy number alteration
030220 oncology & carcinogenesis
Female
Research Article
medicine.medical_specialty
DNA Copy Number Variations
Breast Neoplasms
Computational biology
03 medical and health sciences
Sex Factors
Ovarian cancer
Internal medicine
Genetics
medicine
Humans
Genetic Predisposition to Disease
Gene
Genetic Association Studies
business.industry
Gene Expression Profiling
Breakpoint
Gene Amplification
Genomic Identification of Significant Targets in Cancer
Correction
Female cancers
Cancer
medicine.disease
Endometrial Neoplasms
030104 developmental biology
business
Gene Deletion
Subjects
Details
- ISSN :
- 14712407
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- BMC Cancer
- Accession number :
- edsair.doi.dedup.....fd83683faa67aa975c1483bd8fea5664