Evidence map›Paper›PMID 28340142›Full record

ArticleNeuro-oncology2017

Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma.

Xin Hu, Emmanuel Martinez-Ledesma, Siyuan Zheng, Hoon Kim, Floris Barthel, Tao Jiang, Kenneth R Hess, Roel G W Verhaak

Abstract read
In one paragraph

Article in Neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

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6 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

8 authors.

Xin HuDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Emmanuel Martinez-LedesmaDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Siyuan ZhengDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Hoon KimDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Floris BarthelDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Tao JiangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
Kenneth R HessDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
Roel G W VerhaakDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Jeffrey Hsu-Min Chuang · 1985 to 2026
$61.9M
Tropism Enhanced Oncolytic Adenovirus for the Treatment of Brain TumorsP50CA127001 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FREDERICK F LANG · 2008 to 2026
$41.2M
QUANTITATION OF HUMAN BRAIN TUMOR THERAPY RESPONSE BY MRP01CA085878 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JOHNSON, TIMOTHY D · 2001 to 2017
$31.9M
(PQ #4) Single cell barcoding for studies of study clonal evolution in glioblastomaR01CA190121 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SULMAN, ERIK, VERHAAK, ROEL GW · 2014 to 2017
$1.4M
NCI NIH HHS P01 CA085878NCI NIH HHS P30 CA034196NCI NIH HHS P50 CA127001NCI NIH HHS R01 CA190121
6 · The paper itself

Abstract

Background: Co-deletion of 1p and 19q marks a diffuse glioma subtype associated with relatively favorable overall survival; however, heterogeneous clinical outcomes are observed within this category. Methods: We assembled gene expression profiles and sample annotation of 374 glioma patients carrying the 1p/19q co-deletion. We predicted 1p/19q status using gene expression when annotation was missing. A first cohort was randomly split into training (n = 170) and a validation dataset (n = 163). A second validation set consisted of 41 expression profiles. An elastic-net penalized Cox proportional hazards model was applied to build a classifier model through cross-validation within the training dataset. Results: The selected 35-gene signature was used to identify high-risk and low-risk groups in the validation set, which showed significantly different overall survival (P = .00058, log-rank test). For time-to-death events, the high-risk group predicted by the gene signature yielded a hazard ratio of 1.78 (95% confidence interval, 1.02-3.11). The signature was also significantly associated with clinical outcome in the The Cancer Genome Atlas (CGA) IDH-mutant 1p/19q wild-type and IDH-wild-type glioma cohorts. Pathway analysis suggested that high risk was associated with increased acetylation activity and inflammatory response. Tumor purity was found to be significantly decreased in high-risk IDH-mutant with 1p/19q co-deletion gliomas and IDH-wild-type glioblastomas but not in IDH-wild-type lower grade or IDH-mutant, non-co-deleted gliomas. Conclusion: We identified a 35-gene signature that identifies high-risk and low-risk categories of 1p/19q positive glioma patients. We have demonstrated heterogeneity amongst a relatively new glioma subtype and provided a stepping stone towards risk stratification.

Indexed as

Chromosomes, Human, Pair 1Chromosomes, Human, Pair 19MutationAdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsChromosome AberrationsFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseMaleBiomarkers, TumorIsocitrate Dehydrogenase1p/19q co-deletionelastic net Cox regression modelgliomaprognostic factor

Identifiers

PMID28340142
PMCPMC5464432

What OpenQuestion holds

Textmetadata
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.