Polymorphisms of LIG4, BTBD2, HMGA2, and RTEL1 Genes Involved in the Double-Strand Break Repair Pathway Predict Glioblastoma Survival
By: Liu Y, Shete S, Etzel CJ, Scheurer M, Alexiou G, Armstrong G, Tsavachidis S, Liang FW, Gilbert M, Aldape K, Armstrong T, Houlston R, Hosking F, Robertson L, Xiao Y, Wiencke J, Wrensch M, Andersson U, Melin BS, Bondy M.

Departments of Epidemiology, Neuro-Oncology, and Pathology, The University of Texas M. D. Anderson Cancer Center; Department of Pediatrics and Dan L. Duncan Cancer Center, Baylor College of Medicine; Department of Integrative Nursing Care, University of Texas Health Science Center School of Nursing, Houston, TX; Department of Neurosurgery, University Hospital of Ioannina, Ioannina, Greece; Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, United Kingdom; Department of Epidemiology and Biostatistics, Neurological Surgery, University of California, San Francisco, San Francisco, CA; and the Department of Radiation Sciences, Oncology, Umeå University Hospital, Umeå, Sweden.
J Clin Oncol. 2010 Apr 5.

Abstract

Purpose

Glioblastoma (GBM) is the most common and aggressive type of glioma and has the poorest survival. However, a small percentage of patients with GBM survive well beyond the established median. Therefore, identifying the genetic variants that influence this small number of unusually long-term survivors may provide important insight into tumor biology and treatment.

Patients And Methods

Among 590 patients with primary GBM, we evaluated associations of survival with the 100 top-ranking glioma susceptibility single nucleotide polymorphisms from our previous genome-wide association study using Cox regression models. We also compared differences in genetic variation between short-term survivors (STS; </= 12 months) and long-term survivors (LTS; >/= 36 months), and explored classification and regression tree analysis for survival data. We tested results using two independent series totaling 543 GBMs.

Results

We identified LIG4 rs7325927 and BTBD2 rs11670188 as predictors of STS in GBM and CCDC26 rs10464870 and rs891835, HMGA2 rs1563834, and RTEL1 rs2297440 as predictors of LTS. Further survival tree analysis revealed that patients >/= 50 years old with LIG4 rs7325927 (V) had the worst survival (median survival time, 1.2 years) and exhibited the highest risk of death (hazard ratio, 17.53; 95% CI, 4.27 to 71.97) compared with younger patients with combined RTEL1 rs2297440 (V) and HMGA2 rs1563834 (V) genotypes (median survival time, 7.8 years).

Conclusion

Polymorphisms in the LIG4, BTBD2, HMGA2, and RTEL1 genes, which are involved in the double-strand break repair pathway, are associated with GBM survival.

PMID: 20368557 [PubMed - as supplied by publisher] Source: National Library of Medicine.






* Albert Einstein College of Medicine has been
awarded Acceditation with Commendation by
the ACCME

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