Evidence map›Paper›PMID 26320189›Full record

ArticleOncotarget2015

A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients.

Wen Cheng, Xiufang Ren, Jinquan Cai, Chuanbao Zhang, Mingyang Li, Kuanyu Wang, Yang Liu, Sheng Han, Anhua Wu

Open access · diamondAbstract readValidation Study
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  3. Role of non-coding RNAs in OOncology letters · 2026
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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 4 institutions in 1 country.

Wen ChengDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
Xiufang RenDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Jinquan CaiDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Chuanbao ZhangBeijing Neurosurgical Institute, Beijing, China.
Mingyang LiBeijing Neurosurgical Institute, Beijing, China.
Kuanyu WangDepartment of Neurosurgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yang LiuDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
Sheng HanDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
Anhua WuDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
China Medical University · CNBeijing Institute of Neurosurgery · CNFirst Affiliated Hospital of Dalian Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profiles. The present study aimed to refine the prognostic and predictive value of MGMT promoter status in GBM by identifying a micro (mi)RNA risk signature. Data from The Cancer Genome Atlas was used for this study, with MGMT promoter-methylated samples randomly divided into training and internal validation sets. Data from The Chinese Glioma Genome Atlas was used for independent validation. A five miRNA-based risk signature was established for MGMT promoter-methylated GBM to distinguish cases as high- or low-risk with distinct prognoses, which was confirmed using internal and external validation sets. Importantly, the prognostic value of the signature was significant in different cohorts stratified by clinicopathologic factors and alkylating chemotherapy, and a multivariate Cox analysis found it to be an independent prognostic marker along with age and chemotherapy. Based on these three factors, we developed a quantitative model with greater accuracy for predicting the 1-year survival of patients with MGMT promoter-methylated GBM. These results indicate that the five-miRNA signature is an independent risk predictor for GBM with MGMT promoter methylation and can be used to identify patients at high risk of unfavorable outcome and resistant to alkylating chemotherapy, underscoring its potential for personalized GBM management.

Indexed as

DNA MethylationGene Expression ProfilingPromoter Regions, GeneticAdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsChildChinaChi-Square DistributionDatabases, GeneticDNA Modification MethylasesDNA Repair EnzymesFemaleBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanMicroRNAsTumor Suppressor ProteinsglioblastomaMGMT promoter methylationmiRNApredictive modelprognosis

Identifiers

PMID26320189
PMCPMC4745726
OpenAlexW2253812261

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.