Evidence map›Paper›PMID 27840009›Full record

ArticleEBioMedicine2016

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

Yu-An Zhang, Yunyun Zhou, Xin Luo, Kai Song, Xiaotu Ma, Adwait Sathe, Luc Girard, Guanghua Xiao, Adi F Gazdar

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  10. Analysis of glutathione Stransferase mu class 5 gene methylation as a prognostic indicator in low-grade gliomas.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Yu-An ZhangThe Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Yunyun ZhouDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Xin LuoDepartment of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Kai SongSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.
Xiaotu MaDepartment of Computational Biology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, USA.
Adwait SatheThe Center for Systems Biology, Department of Molecular and Cell Biology, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Luc GirardThe Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Guanghua XiaoDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; The Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Adi F GazdarThe Hamon Center for Therapeutic Oncology Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; The Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: adi.gazdar@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · USSt. Jude Children's Research Hospital · USThe University of Texas at Dallas · USTianjin University · CNUniversity of Mississippi Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffuse 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.

methodsWe 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.

findingsSHOX2 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.

interpretationWe 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.

Indexed as

Biomarkers, TumorBrain NeoplasmsComputational BiologyDatabases, Nucleic AcidDNA MethylationGene Expression ProfilingGliomaHomeodomain ProteinsHumansIsocitrate DehydrogenaseKaplan-Meier EstimateMutationNeoplasm GradingPrognosisProportional Hazards ModelsTranscriptomeBiomarkers, TumorHomeodomain ProteinsIsocitrate DehydrogenaseSHOX2 protein, humanAstrocytomasGliomasIDH mutationOligodendrogliomasPrognosisSHOX2 biomarker

Identifiers

PMID27840009
PMCPMC5264450
OpenAlexW2546093131

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.