Evidence map›Paper›PMID 28091987›Full record

ArticleJournal of neuro-oncology2017

Expression and prognostic value of microRNAs in lower-grade glioma depends on IDH1/2 status.

Wen Cheng, Xiufang Ren, Chuanbao Zhang, Sheng Han, Anhua Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. MicroRNA-3148 inhibits glioma by decreasingExperimental and therapeutic medicine · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

5 authors at 3 institutions in 1 country.

Wen ChengDepartment of Neurosurgery, The First Hospital of China Medical University, Nanjing Street 155, Heping District, Shenyang, 110001, China.
Xiufang RenDepartment of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Chuanbao ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Sheng HanDepartment of Neurosurgery, The First Hospital of China Medical University, Nanjing Street 155, Heping District, Shenyang, 110001, China.
Anhua WuDepartment of Neurosurgery, The First Hospital of China Medical University, Nanjing Street 155, Heping District, Shenyang, 110001, China. wuanhua@yahoo.com.
China Medical University · CNFirst Hospital of China Medical University · CNBeijing Institute of Neurosurgery · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histological and genomic characteristics are widely used in glioma management and research. This study investigated their relationship to the expression and prognostic value of microRNAs (miRNAs) in lower-grade glioma (LGG). A total of 447 LGG samples with available clinical and genomic information from The Cancer Genome Atlas database were reviewed. Samples with isocitrate dehydrogenase (IDH) 1/2 mutations (n = 366) were randomly divided into training and validation sets to establish and confirm a four-miRNA-based risk classifier. We found that IDH1/2 mutation status had greater impact than histological and other genomic features on miRNA expression patterns; 361/487 (74%) of miRNAs were differentially expressed according to IDH1/2 mutation status. Importantly, there were no miRNAs with the same prognostic significance among groups with different IDH1/2 mutation status. For IDH1/2-mut LGG, a four-miRNA risk classifier (miR-10b, miR-130b, miR-1304, and miR-302b) was established that could independently distinguish cases as high or low risk of poor prognosis in both training and validation sets. The risk classifier outperformed individual miRNAs and traditional prognostic factors in terms of sensitivity and specificity. Bioinformatic analyses indicated that high-risk samples were more mitotically active than low-risk samples. Taken together, IDH1/2 mutation status had a significant influence on miRNA expression and prognostication in LGG. The four-miRNA-based risk classifier can be used for risk stratification of IDH1/2-mut LGG.

Indexed as

Brain NeoplasmsGliomaAdolescentAdultAgedAged, 80 and overComputational BiologyFemaleGene Expression Regulation, NeoplasticGene OntologyHumansIsocitrate DehydrogenaseMaleMicroRNAsMiddle AgedMutationIsocitrate DehydrogenaseMicroRNAsGenomic aberrationIDH1/2 mutationLower-grade gliomaMicroRNA profilePrognostic classifier

Identifiers

PMID28091987
OpenAlexW2575010601

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.