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The Radiosensitivity Index Predicts for Overall Survival in Glioblastoma

Overview
Journal Oncotarget
Specialty Oncology
Date 2015 Oct 10
PMID 26451615
Citations 61
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Abstract

We have previously developed a multigene expression model of tumor radiosensitivity (RSI) with clinical validation in multiple cohorts and disease sites. We hypothesized RSI would identify glioblastoma patients who would respond to radiation and predict treatment outcomes. Clinical and array based gene expression (Affymetrix HT Human Genome U133 Array Plate Set) level 2 data was downloaded from the cancer genome atlas (TCGA). A total of 270 patients were identified for the analysis: 214 who underwent radiotherapy and temozolomide and 56 who did not undergo radiotherapy. Median follow-up for the entire cohort was 9.1 months (range: 0.04-92.2 months). Patients who did not receive radiotherapy were more likely to be older (p < 0.001) and of poorer performance status (p < 0.001). On multivariate analysis, RSI is an independent predictor of OS (HR = 1.64, 95% CI 1.08-2.5; p = 0.02). Furthermore, on subset analysis, radiosensitive patients had significantly improved OS in the patients with high MGMT expression (unmethylated MGMT), 1 year OS 84.1% vs. 53.7% (p = 0.005). This observation held on MVA (HR = 1.94, 95% CI 1.19-3.31; p = 0.008), suggesting that RT has a larger therapeutic impact in these patients. In conclusion, RSI predicts for OS in glioblastoma. These data further confirm the value of RSI as a disease-site independent biomarker.

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References
1.
Gilbert M, Wang M, Aldape K, Stupp R, Hegi M, Jaeckle K . Dose-dense temozolomide for newly diagnosed glioblastoma: a randomized phase III clinical trial. J Clin Oncol. 2013; 31(32):4085-91. PMC: 3816958. DOI: 10.1200/JCO.2013.49.6968. View

2.
Eschrich S, Fulp W, Pawitan Y, Foekens J, Smid M, Martens J . Validation of a radiosensitivity molecular signature in breast cancer. Clin Cancer Res. 2012; 18(18):5134-43. PMC: 3993974. DOI: 10.1158/1078-0432.CCR-12-0891. View

3.
Chinot O, Wick W, Mason W, Henriksson R, Saran F, Nishikawa R . Bevacizumab plus radiotherapy-temozolomide for newly diagnosed glioblastoma. N Engl J Med. 2014; 370(8):709-22. DOI: 10.1056/NEJMoa1308345. View

4.
Meng J, Li P, Zhang Q, Yang Z, Fu S . A radiosensitivity gene signature in predicting glioma prognostic via EMT pathway. Oncotarget. 2014; 5(13):4683-93. PMC: 4148091. DOI: 10.18632/oncotarget.2088. View

5.
Ahmed K, Fulp W, Berglund A, Hoffe S, Dilling T, Eschrich S . Differences Between Colon Cancer Primaries and Metastases Using a Molecular Assay for Tumor Radiation Sensitivity Suggest Implications for Potential Oligometastatic SBRT Patient Selection. Int J Radiat Oncol Biol Phys. 2015; 92(4):837-42. PMC: 4481172. DOI: 10.1016/j.ijrobp.2015.01.036. View