Abstract
Background: The genetic mechanisms underlying hemangioblastoma development are still largely unknown. We used high-resolution single nucleotide polymorphism microarrays and droplet digital PCR analysis to detect copy number variations (CNVs) in total of 45 hemangioblastoma tumors. Results: We identified 94 CNVs with a median of 18 CNVs per sample. The most frequently gained regions were on chromosomes 1 (p36.32) and 7 (p11.2). These regions contain the EGFR and PRDM16 genes. Recurrent losses were located at chromosome 12 (q24.13), which includes the gene PTPN11. Conclusions: Our findings provide the first high-resolution genome-wide view of chromosomal changes in hemangioblastoma and identify 23 candidate genes: EGFR, PRDM16, PTPN11, HOXD11, HOXD13, FLT3, PTCH, FGFR1, FOXP1, GPC3, HOXC13, HOXC11, MKL1, CHEK2, IRF4, GPHN, IKZF1, RB1, HOXA9, and micro RNA, such as hsa-mir-196a-2 for hemangioblastoma pathogenesis. Furthermore, our data implicate that cell proliferation and angiogenesis promoting pathways may be involved in the molecular pathogenesis of hemangioblastoma.
| Original language | English |
|---|---|
| Article number | 56 |
| Journal | BMC Genomics |
| Volume | 17 |
| Issue number | 1 |
| DOIs | |
| State | Published - 14 Jan 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 Mehrian-Shai et al.
Funding
This research was funded by The Sheba Medical Research fund. We thank Sarah South, PhD, University of Utah, for insightful remarks on Affymetrix CGH analysis.
| Funders |
|---|
| Sheba Medical Research fund |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- CGH
- Cancer
- Digital PCR
- Hemangioblastoma
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