Evidence map›Paper›PMID 27013589›Full record

ArticleOncotarget2016

Dissecting dysfunctional crosstalk pathways regulated by miRNAs during glioma progression.

Yunpeng Zhang, Yanjun Xu, Feng Li, Xiang Li, Li Feng, Xinrui Shi, Lihua Wang, Xia Li

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Review
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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

8 authors at 1 institution in 1 country.

Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yanjun XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Feng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiang LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Li FengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xinrui ShiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Lihua WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is a malignant nervous system tumor with a high fatality rate and poor prognosis. MicroRNAs (miRNAs) are important post-transcriptional modulators of glioma initiation and progression. Tumor progression often results from dysfunctional co-operation between pathways regulated by miRNAs. We therefore constructed a glioma progression-related miRNA-pathway crosstalk network that not only revealed some key miRNA-pathway patterns, but also helped characterize the functional roles of miRNAs during glioma progression. Our data indicate that crosstalk between cell cycle and p53 pathways is associated with grade II to grade III progression, while cell communications-related pathways involving regulation of actin cytoskeleton and adherens junctions are associated with grade IV glioblastoma progression. Furthermore, miRNAs and their crosstalk pathways may be useful for stratifying glioma and glioblastoma patients into groups with short or long survival times. Our data indicate that a combination of miRNA and pathway crosstalk information can be used for survival prediction.

Indexed as

Brain NeoplasmsDisease ProgressionGene Expression Regulation, NeoplasticGliomaHumansKaplan-Meier EstimateMicroRNAsReceptor Cross-TalkMicroRNAsglioma progressionmiRNAspathway crosstalk

Identifiers

PMID27013589
PMCPMC5041942
OpenAlexW2328556043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.