Evidence map›Paper›PMID 30392137›Full record

ArticleMolecular neurobiology2019

A Prognostic Signature for Lower Grade Gliomas Based on Expression of Long Non-Coding RNAs.

Manjari Kiran, Ajay Chatrath, Xiwei Tang, Daniel Macrae Keenan, Anindya Dutta

Open access · greenAbstract read
In one paragraph

Article in Molecular neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.8field-weighted citation impact, top 3% 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

62 citing papers in PubMed, 107 citations in OpenAlex.

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  4. Cancer biology & therapy · 2024
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2 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Manjari KiranDepartment of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Pinn Hall 1232, Charlottesville, VA, 22908, USA.
Ajay ChatrathDepartment of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Pinn Hall 1232, Charlottesville, VA, 22908, USA.
Xiwei TangDepartment of Statistics, University of Virginia, Charlottesville, VA, 22904, USA.
Daniel Macrae KeenanDepartment of Statistics, University of Virginia, Charlottesville, VA, 22904, USA.
Anindya DuttaDepartment of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Pinn Hall 1232, Charlottesville, VA, 22908, USA. ad8q@virginia.edu.ORCID http://orcid.org/0000-0002-4319-0073
University of Virginia · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
Summer Research Experience in Cancer(SuRE-C)R25CA206972 · NCI · UNIVERSITY OF VIRGINIA · PI ADRIAN J HALME, Hui Zong · 2017 to 2026
$2.0M
Mechanism of action of an lncRNA for directing muscle differentiationR01AR067712 · NIAMS · UNIVERSITY OF VIRGINIA · PI DUTTA, ANINDYA · 2016 to 2020
$1.7M
NCI NIH HHS R25 CA206972NIAMS NIH HHS AR067712NIAMS NIH HHS R01 AR067712NIGMS NIH HHS T32 GM007267U.S. Department of Defense PC151085V Foundation for Cancer Research (US) D2018-002
6 · The paper itself

Abstract

Diffuse low-grade and intermediate-grade gliomas (together known as lower grade gliomas, WHO grade II and III) develop in the supporting glial cells of brain and are the most common types of primary brain tumor. Despite a better prognosis for lower grade gliomas, 70% of patients undergo high-grade transformation within 10 years, stressing the importance of better prognosis. Long non-coding RNAs (lncRNAs) are gaining attention as potential biomarkers for cancer diagnosis and prognosis. We have developed a computational model, UVA8, for prognosis of lower grade gliomas by combining lncRNA expression, Cox regression, and L1-LASSO penalization. The model was trained on a subset of patients in TCGA. Patients in TCGA, as well as a completely independent validation set (CGGA) could be dichotomized based on their risk score, a linear combination of the level of each prognostic lncRNA weighted by its multivariable Cox regression coefficient. UVA8 is an independent predictor of survival and outperforms standard epidemiological approaches and previous published lncRNA-based predictors as a survival model. Guilt-by-association studies of the lncRNAs in UVA8, all of which predict good outcome, suggest they have a role in suppressing interferon-stimulated response and epithelial to mesenchymal transition. The expression levels of eight lncRNAs can be combined to produce a prognostic tool applicable to diverse populations of glioma patients. The 8 lncRNA (UVA8) based score can identify grade II and grade III glioma patients with poor outcome, and thus identify patients who should receive more aggressive therapy at the outset.

Indexed as

Gene Expression Regulation, NeoplasticBrain NeoplasmsGliomaHumansInterferonsKaplan-Meier EstimateNeoplasm GradingPrognosisRisk FactorsRNA, Long NoncodingSignal TransductionInterferonsRNA, Long NoncodingGene expression profilingGliomasLong non-coding RNAsPrognosis

Identifiers

PMID30392137
PMCPMC6499716
OpenAlexW2953192053

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.