Evidence map›Paper›PMID 29417946›Full record

ReviewActa pharmacologica Sinica2018

MicroRNAs as biomarkers for human glioblastoma: progress and potential.

Shi-Wei Huang, Ni-da Ali, Lily Zhong, Jian Shi

Open access · bronzeAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Shi-Wei HuangDepartment of Neurology, Department of Veterans Affairs Medical Center, San Francisco and University of California, San Francisco, CA, 94121, USA.
Ni-da AliDepartment of Neurology, Department of Veterans Affairs Medical Center, San Francisco and University of California, San Francisco, CA, 94121, USA.
Lily ZhongDepartment of Neurology, Department of Veterans Affairs Medical Center, San Francisco and University of California, San Francisco, CA, 94121, USA.
Jian ShiDepartment of Neurology, Department of Veterans Affairs Medical Center, San Francisco and University of California, San Francisco, CA, 94121, USA. jian.shi@ucsf.edu.
San Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most common malignant glioma. Despite innovative research efforts in tumor therapy, the outcome for most diagnosed patients remains poor; therefore, early diagnosis of GBM is the most effective method for achieving better patient outcomes. In recent years, combined research efforts including cellular, molecular, genetic, and bioinformatics methods have been used to investigate GBM, and the results show that variations in miRNA expression occur in GBM tissues and biological fluids. Some highly stable miRNAs circulate in the blood and cerebrospinal fluid (CSF) of both healthy individuals and diagnosed patients, thus raising the possibility that miRNAs may serve as novel diagnostic markers. In addition, increased understanding of the miRNA and mRNA interactions involved in GBM progression may lead to discovering predictive biomarkers, some of which are clinically relevant for targeted therapy and predicting prognosis. However, as this field is relatively new, some studies have yielded conflicting results. To progress in the field, different advanced techniques must be combined, including bioinformatics methods and molecular and cellular techniques. In addition, we must overcome the various challenges in non-invasive GBM biomarker detection. Here, we discuss the progress and potential of miRNAs as biomarkers for GBM and related signaling pathways. Studying the clinical relevance and applicability of these biomarkers may alter GBM patient diagnosis and treatment.

Indexed as

Biomarkers, TumorCirculating MicroRNADown-RegulationExosomesGlioblastomaHumansPrognosisTranscriptomeUp-RegulationBiomarkers, TumorCirculating MicroRNAbioinformaticsbiomarkerdiagnosisglioblastomamiRNAnon-invasive detection

Identifiers

PMID29417946
PMCPMC6289388
OpenAlexW2787340302

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.