Evidence map›Paper›PMID 25890369›Full record

ArticleJournal of translational medicine2015

miR-130a can predict response to temozolomide in patients with glioblastoma multiforme, independently of O6-methylguanine-DNA methyltransferase.

Huiyuan Chen, Xinyi Li, Wenbin Li, Huyong Zheng

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Review
  5. Article
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  13. Alkylating anticancer agents and their relations to microRNAs.Cancer drug resistance (Alhambra, Calif.) · 2019
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  14. Review
  15. The Clinical Significance of OFrontiers in neurology · 2018
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  16. Article
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  20. Mir-338-3p Inhibits Malignant Biological Behaviors of Glioma Cells by Targeting MACC1 Gene.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Article
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

4 authors at 3 institutions in 2 countries.

Huiyuan ChenCancer Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. chenhuiyuan2013@126.com.
Xinyi LiUniversity of South Florida, Tampa, FL, 33612, USA. li.xinyi.ib@gmail.com.
Wenbin LiCancer Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. liwenbin@ccmu.edu.cn.
Huyong ZhengHematology Oncology Center, Beijing Key Laboratory of Pediatric Hematology Oncology, National Key Discipline of Pediatrics, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China. zhenghuyong@vip.sina.com.
Capital Medical University · CNBeijing Children’s Hospital · CNUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, O6-methylguanine-DNA methyltransferase(MGMT) promoter methylation is the most convincing predictive biomarker for temozolomide (TMZ) response in patients with glioblastoma multiforme (GBM). However, technical obstacles prevent this biomarker from being applied widely. On the other hand, microRNAs (miRNAs) are easily investigated in the clinical setting using quantitative real-time polymerase chain reactions. This study aimed to identify miRNAs that could serve as predictive biomarkers for TMZ response.

methodsThe Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases were used to investigate the significance of associations between miRNA expression and overall survival (OS) in TMZ-treated patients with GBM. Cytotoxicity assays were used to validate the miRNAs' roles in the response of glioma cells to TMZ. Biological insights concerning the miRNAs were explored using gene set enrichment analysis (GSEA) and gene ontology (GO) analysis.

resultsmiR-130a was found to be significantly associated with OS in TMZ-treated patients from TCGA and the CGGA. In contrast, miR-130a appeared to be unassociated with OS in patients who only received radiotherapy. The TMZ cytotoxicity assay showed that miR-130a over-expression could sensitize response to TMZ in glioma cells. GSEA and GO analysis indicated that lower miR-130a could generate a more extensive response to oxidative stress, which in turn could elevate Ape1 and mediate resistance to TMZ. In vitro experiment verified that cells with lower miR-130a express higher Ape1 under oxidative stress.

conclusionsOur data suggested that miR-130a could be a predictive marker for TMZ response in patients with GBM, independently of the mechanism by which MGMT acts as a biomarker. miR-130a could serve as a guide for treatment strategy selection in cases of GBM.

Indexed as

Cell Line, TumorDacarbazineDNA Modification MethylasesDNA Repair EnzymesFemaleGene Expression Regulation, NeoplasticGlioblastomaHumansKaplan-Meier EstimateMaleMicroRNAsModels, BiologicalProportional Hazards ModelsTemozolomideTumor Suppressor ProteinsDacarbazineDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanMicroRNAsMIRN130 microRNA, humanTemozolomideTumor Suppressor Proteins

Identifiers

PMID25890369
PMCPMC4345002
OpenAlexW2152158152

What OpenQuestion holds

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LicenceCC BY
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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.