Brain Tumor Res Treat.  2019 Apr;7(1):33-38. 10.14791/btrt.2019.7.e20.

von Willebrand Factor Gene Expression in Primary Lower Grade Glioma: Mutually Co-Occurring Mutations in von Willebrand Factor, ATRX, and TP53

Affiliations
  • 1Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. steven.lehrer@mssm.edu
  • 2Severn Health Solutions, Severna Park, MD, USA.

Abstract

BACKGROUND
Venous thromboembolism is a common complication in patients with glioma. The clotting factor von Willebrand factor (VWF) is a highly adhesive procoagulant molecule that mediates platelet adhesion to endothelial and subendothelial surfaces. In the current analysis, we examined The Cancer Genome Atlas (TCGA) data to assess the VWF gene in patients with lower grade gliomas.
METHODS
For newly diagnosed gliomas, we evaluated the association between VWF and overall survival in the Genomic Data Commons TCGA Lower Grade Glioma (LGG) dataset in TCGA. Simple statistics were calculated to identify patterns of mutual exclusivity or co-occurrence of VWF mutations. For each pair of query genes an odds ratio was calculated that indicates the likelihood that the mutations in the two genes are mutually exclusive or co-occurrent across the selected cases. To determine whether the identified relationship was significant for a gene pair, Fisher's exact test was performed.
RESULTS
Lower grade gliomas with less VWF gene expression had significantly better survival than those with more VWF gene expression (hazard ratio 0.64, 95% confidence interval 0.44 to 0.92, p=0.015 log rank test). When we analyzed the data with Cox regression, VWF expression had a significant effect on survival (p=0.02) that was unrelated to the effect of IDH1 expression (p=0.062), TP53 expression (p=0.135), independent of ATRX expression (p=0.021) and histology (astrocytoma versus oligoastrocytoma and oligodendroglioma, p=0.002). VWF mutations significantly co-occur with mutations in TP53 and ATRX (p<0.001).
CONCLUSION
The deleterious prognostic effect of VWF expression and its co-occurrent mutations with TP53 and ATRX in lower grade gliomas are not surprising, given VWF's role in other cancers. Therefore, VWF gene expression may be a clinically important risk marker in lower grade glioma.

Keyword

Glioma; Glioblastoma; Survival; von Willebrand factor; The Cancer Genome Atlas

MeSH Terms

Adhesives
Blood Platelets
Dataset
Gene Expression*
Genes, vif
Genome
Glioblastoma
Glioma*
Humans
Odds Ratio
Oligodendroglioma
Venous Thromboembolism
von Willebrand Factor*
Adhesives
von Willebrand Factor

Figure

  • Fig. 1 Molecular subtypes of tumors studied. LGG, Lower Grade Glioma; IDH, isocitrate dehydrogenase; NA, not analyzed.

  • Fig. 2 Expression of VWF in 63 astrocytomas (TCGA-DU-7299-01A-21D-2023-01). VWF is significantly overexpressed (p=0.008, t=2.471, Fold Change: 1.084). RefSeq Genes, UCSC refGene, July 2009, hg18, NCBI 36.1, March 2006. The horizontal axis indicates specimen number (1–63). VWF, von Willebrand factor.

  • Fig. 3 VWF was most often mutated and amplified in diffuse gliomas (http://cbioportal.org). Diffuse gliomas are classified according to the 2016 WHO system by both histologic and molecular characteristics as IDH-mutant or IDH-wildtype astrocytomas; IDH-mutant and 1p19q-codeleted oligodendrogliomas; and IDH-mutant or IDH-wildtype glioblastomas. VWF, von Willebrand factor; WHO, World Health Organization; IDH, isocitrate dehydrogenase.

  • Fig. 4 Survival of lower grade glioma by histology in 513 patients. Survival of astrocytomas was significantly worse than oligodendroglioma or oligoastrocytoma (p=0.0064, log rank test).

  • Fig. 5 Survival versus VWF gene expression in 508 patients. A: Lower grade gliomas with less VWF gene expression had significantly better survival than those with more VWF gene expression (hazard ratio 0.64, 95% confidence interval 0.44 to 0.92, p=0.015 log rank test). B: The effect of VWF gene expression on survival was even more evident when the sample was analyzed as three groups (p=0.00019). No VWF expression data were available for 5 of 513 patients analyzed in Fig. 3. VWF, von Willebrand factor.

  • Fig. 6 Diagrammatic representation of significantly co-occurring mutations in VWF/ATRX, VWF/TP53 and TP53/ATRX. cDNA was altered in 266 (52%) of 507 sequenced cases/patients (507 total) (cBioportal.org). VWF, von Willebrand factor.

  • Fig. 7 IDH1 versus VWF mRNA expression by mutation status. The correlation is significant (p<0.05). VWF, von Willebrand factor; IDH, isocitrate dehydrogenase.

  • Fig. 8 Histologic grade and VWF mRNA expression by VWF mutation status. VWF, von Willebrand factor; VUS, variants of uncertain significance.


Reference

1. Norden AD, Bartolomeo J, Tanaka S, et al. Safety of concurrent bevacizumab therapy and anticoagulation in glioma patients. J Neurooncol. 2012; 106:121–125. PMID: 21706358.
Article
2. Al Megren M, De Wit C, Al Qahtani M, Le Gal G, Carrier M. Management of venous thromboembolism in patients with glioma. Thromb Res. 2017; 156:105–108. PMID: 28624717.
Article
3. Simanek R, Vormittag R, Hassler M, et al. Venous thromboembolism and survival in patients with high-grade glioma. Neuro Oncol. 2007; 9:89–95. PMID: 17327573.
Article
4. Hua Y, Tang L, Keep RF, et al. The role of thrombin in gliomas. J Thromb Haemost. 2005; 3:1917–1923. PMID: 15975137.
Article
5. Mojiri A, Stoletov K, Carrillo MA, et al. Functional assessment of von Willebrand factor expression by cancer cells of non-endothelial origin. Oncotarget. 2017; 8:13015–13029. PMID: 28035064.
Article
6. Marfia G, Navone SE, Fanizzi C, et al. Prognostic value of preoperative von Willebrand factor plasma levels in patients with glioblastoma. Cancer Med. 2016; 5:1783–1790. PMID: 27236861.
Article
7. R2 Support Team. Working with Kaplan Meier. R2 Tutorials. Release 3.1.2. Amsterdam: Jan Koster (Academic Medical Center);2017. p. 73–82.
8. Shahriyari L. Effect of normalization methods on the performance of supervised learning algorithms applied to HTSeq-FPKM-UQ data sets: 7SK RNA expression as a predictor of survival in patients with colon adenocarcinoma. Brief Bioinform. 2017; 11. 03. DOI: 10.1093/bib/bbx153.
Article
9. Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013; 6:pl1. PMID: 23550210.
Article
10. Ceccarelli M, Barthel FP, Malta TM, et al. Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma. Cell. 2016; 164:550–563. PMID: 26824661.
11. Wang S, Jin F, Fan W, et al. Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes. Sci Rep. 2017; 7:11741. PMID: 28924174.
Article
12. Louis DN, Perry A, Reifenberger G, et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 2016; 131:803–820. PMID: 27157931.
Article
13. DeWeerdt S. The genomics of brain cancer. Nature. 2018; 561:S54–S55. PMID: 30258161.
Article
14. Venneti S, Huse JT. The evolving molecular genetics of low-grade glioma. Adv Anat Pathol. 2015; 22:94–101. PMID: 25664944.
Article
15. Buckner J, Giannini C, Eckel-Passow J, et al. Management of diffuse lowgrade gliomas in adults - use of molecular diagnostics. Nat Rev Neurol. 2017; 13:340–351. PMID: 28497806.
Article
16. Cancer Genome Atlas Research Network. Brat DJ, Verhaak RG, Aldape KD, et al. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med. 2015; 372:2481–2498. PMID: 26061751.
17. Claus EB, Walsh KM, Wiencke JK, et al. Survival and low-grade glioma: the emergence of genetic information. Neurosurg Focus. 2015; 38:E6.
Article
18. Stupp R, Janzer RC, Hegi ME, Villemure JG, Mirimanoff RO. Prognostic factors for low-grade gliomas. Semin Oncol. 2003; 30(6 Suppl 19):23–28.
Article
19. Furtner J, Bender B, Braun C, et al. Prognostic value of blood flow measurements using arterial spin labeling in gliomas. PLoS One. 2014; 9:e99616. PMID: 24911025.
Article
20. Lehrer S, Dembitzer FR, Rheinstein PH, Rosenzweig KE. In primary glioblastoma fewer tumor copy number segments of the F13A1 gene are associated with poorer survival. Thromb Res. 2018; 167:12–14. PMID: 29753279.
Article
21. Varki A. Trousseau’s syndrome: multiple definitions and multiple mechanisms. Blood. 2007; 110:1723–1729. PMID: 17496204.
Article
22. Bauer AT, Suckau J, Frank K, et al. von Willebrand factor fibers promote cancer-associated platelet aggregation in malignant melanoma of mice and humans. Blood. 2015; 125:3153–3163. PMID: 25977583.
Article
23. Yang AJ, Wang M, Wang Y, et al. Cancer cell-derived von Willebrand factor enhanced metastasis of gastric adenocarcinoma. Oncogenesis. 2018; 7:12. PMID: 29362409.
Article
24. Jenkins EO, Schiff D, Mackman N, Key NS. Venous thromboembolism in malignant gliomas. J Thromb Haemost. 2010; 8:221–227. PMID: 19912518.
Article
Full Text Links
  • BTRT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr