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Remonde, Dioval

https://orcid.org/0000-0001-7173-3904

Mayo Clinic

East Carolina University

Citations 4

Genomic and Phenotypic Characterization of a Broad Panel of Patient-Derived Xenografts Reflects the Diversity of Glioblastoma
Vaubel, Rachael A. , Tian, Shulan , Remonde, Dioval , Mladek, Ann C. , Kitange, Gaspar J. , Caron, Alissa, Kollmeyer, Thomas M. , Grove, Rebecca, Peng, Sen, Carlson, Brett L. , Sarkar, Gobinda , Evers, Lisa, Decker, Paul A. , Yan, Huihuang , Berens, Michael E. , Wang, Qianghu , Marin, Bianca M. , Klee, Eric W. , Eckel‐Passow, Jeanette E. , Verhaak, Roel G.W. , Sulman, Erik P. , Meyer, Fredrick B., Tran, Nhan L. , Jenkins, Robert B. , Schroeder, Mark A. , Sarkar, Gobinda , Berens, Michael E , Wang, Qianghu , Marin, Bianca M , Califano, Andrea , Sulman, Erik P , O'Neill, Brian P, Parney, Ian F , Kollmeyer, Thomas , Vaubel, Rachael A , Mladek, Ann C , Tran, Nhan L , Grove, Rebecca, Daniel, J. , Decker, Paul A. , Dhruv, Harshil , Lachance, Daniel Honore , Burns, Terry C. , O’Neill, Brian Patrick , Giannini, Caterina , Parney, Ian F. , Sarkaria, Jann N.

Clinical Cancer Research | December 18, 2019 | Volume: 26 | Issue: 5 | Pages: 1094-1104

10.1158/1078-0432.ccr-19-0909 Get It

Abstract Purpose: Glioblastoma is the most frequent and lethal primary brain tumor. Development of novel therapies relies on the availability of relevant preclinical models. We have established a panel of 96 glioblastoma patient-derived xenografts (PDX) and undertaken its genomic and phenotypic characterization. Experimental Design: PDXs were established from glioblastoma, IDH-wildtype (n = 93), glioblastoma, IDH-mutant (n = 2), diffuse midline glioma, H3 K27M-mutant (n = 1), and both primary (n = 60) and recurrent (n = 34) tumors. Tumor growth rates, histopathology, and treatment response were characterized. Integrated molecular profiling was performed by whole-exome sequencing (WES, n = 83), RNA-sequencing (n = 68), and genome-wide methylation profiling (n = 76). WES data from 24 patient tumors was compared with derivative models. Results: PDXs recapitulate many key phenotypic and molecular features of patient tumors. Orthotopic PDXs show characteristic tumor morphology and invasion patterns, but largely lack microvascular proliferation and necrosis. PDXs capture common and rare molecular drivers, including alterations of TERT, EGFR, PTEN, TP53, BRAF, and IDH1, most at frequencies comparable with human glioblastoma. However, PDGFRA amplification was absent. RNA-sequencing and genome-wide methylation profiling demonstrated broad representation of glioblastoma molecular subtypes. MGMT promoter methylation correlated with increased survival in response to temozolomide. WES of 24 matched patient tumors showed preservation of most genetic driver alterations, including EGFR amplification. However, in four patient–PDX pairs, driver alterations were gained or lost on engraftment, consistent with clonal selection. Conclusions: Our PDX panel captures the molecular heterogeneity of glioblastoma and recapitulates many salient genetic and phenotypic features. All models and genomic data are openly available to investigators.
Molecular profiling of long-term IDH-wildtype glioblastoma survivors
Yang, Jie , Decker, Paul A. , Kollmeyer, Thomas M. , Kosel, Matthew , Mladek, Ann C. , Caron, Alissa, Kitange, Gaspar J. , Sicotte, Hugues , Youland, Ryan S. , Voss, Jesse S. , Kolsky, K. L., Meyer, Fredric B. , Parney, Ian, Kipp, Benjamin R. , Sulman, Erik P. , Jenkins, Robert B. , Eckel‐Passow, Jeanette E. , Burgenske, Danielle M. , Caron, Alissa A, Gupta, Shiv K. , Fritcher, Emily G. Barr , Kolsky, Kathryn L, Parney, Ian J, Kollmeyer, Thomas , Sulman, Erik P , Mladek, Ann C , Decker, Paul A. , Vaubel, Rachael A. , Remonde, Dioval , Ida, Cristiane M. , Lachance, Daniel Honore , Giannini, Caterina , Sarkaria, Jann N.

Neuro-Oncology | July 24, 2019 | Volume: 21 | Issue: 11 | Pages: 1458-1469

10.1093/neuonc/noz129 Get It

AbstractBackgroundGlioblastoma (GBM) represents an aggressive cancer type with a median survival of only 14 months. With fewer than 5% of patients surviving 5 years, comprehensive profiling of these rare patients could elucidate prognostic biomarkers that may confer better patient outcomes. We utilized multiple molecular approaches to characterize the largest patient cohort of isocitrate dehydrogenase (IDH)–wildtype GBM long-term survivors (LTS) to date.MethodsRetrospective analysis was performed on 49 archived formalin-fixed paraffin embedded tumor specimens from patients diagnosed with GBM at the Mayo Clinic between December 1995 and September 2013. These patient samples were subdivided into 2 groups based on survival (12 LTS, 37 short-term survivors [STS]) and subsequently examined by mutation sequencing, copy number analysis, methylation profiling, and gene expression.ResultsOf the 49 patients analyzed in this study, LTS were younger at diagnosis (P = 0.016), more likely to be female (P = 0.048), and MGMT promoter methylated (UniD, P = 0.01). IDH-wildtype STS and LTS demonstrated classic GBM mutations and copy number changes. Pathway analysis of differentially expressed genes showed LTS enrichment for sphingomyelin metabolism, which has been linked to decreased GBM growth, invasion, and angiogenesis. STS were enriched for DNA repair and cell cycle control networks.ConclusionsWhile our findings largely report remarkable similarity between these LTS and more typical STS, unique attributes were observed in regard to altered gene expression and pathway enrichment. These attributes may be valuable prognostic markers and are worth further examination. Importantly, this study also underscores the limitations of existing biomarkers and classification methods in predicting patient prognosis.
TMOD-18. THE PATIENT DERIVED XENOGRAFT NATIONAL RESOURCE: A COMPREHENSIVE COLLECTION OF HIGH-GRADE GLIOMA MODELS FOR PRE-CLINICAL AND TRANSLATIONAL STUDIES
Tian, Shulan , Peng, Sen, Carlson, Brett L. , Kitange, Gaspar J. , Evers, Lisa, Decker, Paul A. , Kosel, Matthew , Klee, Eric W. , James, C. David , Eckel‐Passow, Jeanette E. , Verhaak, Roel G.W. , Jenkins, Robert B. , Vaubel, Rachael A. , Remonde, Dioval , Schroeder, Mark A. , Kollmeyer, Thomas M. , Mladek, Ann C. , Daniel, J. , Decker, Paul A. , Berens, Michael E. , Califano, Andrea , Lachance, Daniel Honore , Sulman, Erik P. , Tran, Nhan L. , Giannini, Caterina , Parney, Ian F. , Sarkaria, Jann N.

Neuro-Oncology | November 5, 2018 | Volume: 20 | Issue: suppl_6 | Pages: vi272-vi272

10.1093/neuonc/noy148.1130 Get It

Abstract 1468: Characterization of patient-derived xenograft (PDX) models to evaluate clinical and therapeutic responses of glioblastoma multiforme
Carlson, Brett L. , Armstrong, Brock , Peng, Sen, Evers, Lisa, Decker, Paul A. , Passow, Jeanette E. Eckel, Tran, Nhan L. , Jenkins, Robert B. , Remonde, Dioval , Schroeder, Mark A. , Decker, Paul A. , Berens, Michael E. , Sarkaria, Jann N. , Tran, Nhan L

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 1468-1468

10.1158/1538-7445.am2015-1468 Get It

Abstract BACKGROUND/PURPOSE The Mayo Clinic has developed a large panel of patient-derived xenografts (PDX) from patients with glioblastoma multiforme (GBM). Here we report initial molecular profiling of the Mayo PDX panel and a comparison of patient and PDX molecular profile and response to therapy. METHODS & MATERIALS Clinical data was retrieved by retrospective chart review. Animal data from all PDX investigations conducted between 2004-2014 were retrieved from experimental logs and subsequently consolidated into a database for analysis. RESULTS From 1999 to 2014, 182 patient tumor samples of varying histological grades were attempted for xenograft with 73 resulting viable PDX lines. Viable xenografts were only produced from WHO grade IV tumor specimens, yielding an overall success rate of 49% for these tumors. GBM patients that produced viable xenografts compared to those that did not exhibited a trend for decreased overall survival (P = 0.18). There was no significant association between successful xenografting and whether tissue was from newly diagnosed (45/93%) or recurrent (20/40; 50%) tumors. Patient age > 45 at diagnosis was correlated with increased PDX viability in GBMs (p = 0.05). Of the viable PDX models analyzed, EGFR mutation was identified in 17 lines, TERT mutation was found in 13 lines, IDH mutation in 1 line, and MGMT hypermethylation in 25 lines. RNAseq was performed on orthotopic tumor samples from 53 PDX models. After excluding contaminating murine sequence reads, expression analysis demonstrated 32 models with a mesenchymal phenotype. Array comparative genomic hybridization was performed on 9 patient samples and derivative early, mid and late passage PDX tumors. Using unbiased hierarchical clustering, there was a high concordance between patient and xenograft models. Within the PDX panel, fractionated radiation (RT) alone and RT combined with temozolomide (TMZ) was tested in orthotopic tumors in 38 lines. The overall median survival benefit (ratio of median survival for treated vs. placebo) in PDX lines treated with RT only was 1.6 (range: 0.9-2.5) and with RT/TMZ was 2.5 (range: 1.1 - 8.9). There was a positive association between observed patient survival and the corresponding survival benefit in the PDX for subjects treated with RT/TMZ (r = 0.2; n = 17). Response to adjuvant TMZ was evaluated in 42 tumor lines, and response to bevacizumab was tested in 33 tumor lines, and correlations with clinical treatment response are being evaluated. CONCLUSIONS: The Mayo GBM PDX panel is widely used in the neuro-oncology community. The initial molecular analysis suggests a good correlation between patient and PDX at the level of genotypic characteristics and therapeutic sensitivity. Citation Format: Dioval A. Remonde, Brett L. Carlson, Mark A. Schroeder, Brock Armstrong, Sen Peng, Lisa Evers, Paul A. Decker, Jeanette Eckel Passow, Michael E. Berens, Nhan L. Tran, Robert B. Jenkins, Jann N. Sarkaria. Characterization of patient-derived xenograft (PDX) models to evaluate clinical and therapeutic responses of glioblastoma multiforme. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1468. doi:10.1158/1538-7445.AM2015-1468