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      SHOX2 is a Potent Independent Biomarker to Predict Survival of WHO Grade II–III Diffuse Gliomas

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          Abstract

          Background

          Diffuse gliomas, grades II and III, hereafter called lower-grade gliomas (LGG), have variable, difficult to predict clinical courses, resulting in multiple studies to identify prognostic biomarkers. The purpose of this study was to assess expression or methylation of the homeobox family gene SHOX2 as independent markers for LGG survival.

          Methods

          We downloaded publically available glioma datasets for gene expression and methylation. The Cancer Genome Atlas (TCGA) (LGG, n = 516) was used as a training set, and three other expression datasets (n = 308) and three other methylation datasets (n = 320), were used for validation. We performed Kaplan-Meier survival curves and univariate and multivariate Cox regression model analyses.

          Findings

          SHOX2 expression and gene body methylation varied among LGG patients and highly significantly predicted poor overall survival. While they were tightly correlated, SHOX2 expression appeared more potent as a prognostic marker and was used for most further studies. The SHOX2 prognostic roles were maintained after analyses by histology subtypes or tumor grade. We found that the combination of SHOX2 expression and IDH genotype status identified a subset of LGG patients with IDH wild-type ( IDHwt) and low SHOX2 expression with considerably favorable survival. We further investigated the combination of SHOX2 with other known clinically relevant markers of LGG ( TERT expression, 1p/19q chromosome co-deletion, MGMT methylation, ATRX mutation and NES expression). When combined with SHOX2 expression, we identified subsets of LGG patients with significantly favorable survival outcomes, especially in the subgroup with worse prognosis for each individual marker. Finally, multivariate analysis demonstrated that SHOX2 was a potent independent survival marker.

          Interpretation

          We have identified that SHOX2 expression or methylation are potent independent prognostic indicators for predicting LGG patient survival, and have potential to identify an important subset of LGG patients with IDHwt status with significantly better overall survival. The combination of IDH or other relevant markers with SHOX2 identified LGG subsets with significantly different survival outcomes, and further understanding of these subsets may benefit therapeutic target identification and therapy selections for glioma patients.

          Highlight

          • SHOX2 is a potent independent prognostic indicator for grade II and III diffuse gliomas. SHOX2 in combination with IDH has the potential to identify important diffuese gliomas subsets with significantly better survivals. SHOX2 in combination with other markers is potentially useful for identifying distinct prognostic subsets of diffuse gliomas.

          Diffuse glioma brain tumors (gliomas encompassing astrocytomas and oligodedrogliomas, grades II and III), have highly variable, difficult to predict clinical courses and a number of specific alterations have been identified that have prognostic or therapeutic implications, whether as single markers or in various combinations. The use of mutation status of the isocitrate dehydrogenase ( IDH) enzyme genes has been demonstrated to be a potent prognostic marker greatly improving survival prognosis. SHOX2 methylation was suggested to be associated with lung and breast cancers. In this study we assessed SHOX2 gene methylation and expression as independent markers for diffuse gliomas survival prognosis, by multiple statistical survival analyses of multiple genome-wide datasets. We have identified that SHOX2 is a potent independent prognostic marker, both by itself and in combination with other markers ( IDH mutation status, 1p/19q codeltion, ATRX mutation, nestin or TERT expression and MGMT methylation), and potentially useful for refining the molecular classification of diffuse gliomas, and for distinguishing clinically distinct prognostic subgroups of gliomas patients for better therapy selection.

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          Most cited references22

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          CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012.

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            The short stature homeobox gene SHOX is involved in skeletal abnormalities in Turner syndrome.

            Turner syndrome is characterized by short stature and is frequently associated with a variable spectrum of somatic features including ovarian failure, heart and renal abnormalities, micrognathia, cubitus valgus, high-arched palate, short metacarpals and Madelung deformity. Madelung deformity is also a key feature of Leri-Weill syndrome. Defects of the pseudoautosomal homeobox gene SHOX were previously shown to lead to short stature and Leri-Weill syndrome, and haploinsufficiency of SHOX was implicated to cause the short stature phenotype in Turner syndrome. Despite exhaustive searches, no direct murine orthologue of SHOX is evident. SHOX is, however, closely related to the SHOX2 homeobox gene on 3q, which has a murine counterpart, Og12x. We analysed SHOX and SHOX2 expression during human embryonic development, and referenced the expression patterns against those of Og12x. The SHOX expression pattern in the limb and first and second pharyngeal arches not only explains SHOX -related short stature phenotypes, but also for the first time provides evidence for the involvement of this gene in the development of additional Turner stigmata. This is strongly supported by the presence of Turner-characteristic dysmorphic skeletal features in patients with SHOX nonsense mutations.
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              Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma.

              The outcome of patients with anaplastic gliomas varies considerably. Whether a molecular classification of anaplastic gliomas based on large-scale genomic or epigenomic analyses is superior to histopathology for reflecting distinct biological groups, predicting outcomes and guiding therapy decisions has yet to be determined. Epigenome-wide DNA methylation analysis, using a platform which also allows the detection of copy-number aberrations, was performed in a cohort of 228 patients with anaplastic gliomas (astrocytomas, oligoastrocytomas, and oligodendrogliomas), including 115 patients of the NOA-04 trial. We further compared these tumors with a group of 55 glioblastomas. Unsupervised clustering of DNA methylation patterns revealed two main groups correlated with IDH status: CpG island methylator phenotype (CIMP) positive (77.5 %) or negative (22.5 %). CIMP(pos) (IDH mutant) tumors showed a further separation based on copy-number status of chromosome arms 1p and 19q. CIMP(neg) (IDH wild type) tumors showed hallmark copy-number alterations of glioblastomas, and clustered together with CIMP(neg) glioblastomas without forming separate groups based on WHO grade. Notably, there was no molecular evidence for a distinct biological entity representing anaplastic oligoastrocytoma. Tumor classification based on CIMP and 1p/19q status was significantly associated with survival, allowing a better prediction of outcome than the current histopathological classification: patients with CIMP(pos) tumors with 1p/19q codeletion (CIMP-codel) had the best prognosis, followed by patients with CIMP(pos) tumors but intact 1p/19q status (CIMP-non-codel). Patients with CIMP(neg) anaplastic gliomas (GBM-like) had the worst prognosis. Collectively, our data suggest that anaplastic gliomas can be grouped by IDH and 1p/19q status into three molecular groups that show clear links to underlying biology and a significant association with clinical outcome in a prospective trial cohort.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                28 October 2016
                November 2016
                28 October 2016
                : 13
                : 80-89
                Affiliations
                [a ]The Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
                [b ]Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
                [c ]Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS 39216, USA
                [d ]Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
                [e ]School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
                [f ]Department of Computational Biology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, USA
                [g ]The Center for Systems Biology, Department of Molecular and Cell Biology, The University of Texas at Dallas, Richardson, TX, 75080, USA
                [h ]The Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
                [i ]Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
                Author notes
                [* ]Correspondence to: A. Gazdar, Hamon Center for Therapeutic Oncology, The University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, TX 75390-8593, USA.Hamon Center for Therapeutic OncologyThe University of Texas Southwestern Medical Center6000 Harry Hines BlvdDallasTX75390-8593USA adi.gazdar@ 123456utsouthwestern.edu
                [1]

                These authors contributed equally.

                Article
                S2352-3964(16)30501-1
                10.1016/j.ebiom.2016.10.040
                5264450
                27840009
                cefb3d42-7e64-4551-aaf8-7ead07f26a24
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 October 2016
                : 26 October 2016
                Categories
                Research Paper

                gliomas,astrocytomas,oligodendrogliomas,shox2 biomarker,idh mutation,prognosis

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