Evidence map›Paper›PMID 30018734›Full record

ArticleOncotarget2018

The immune-related microRNA miR-146b is upregulated in glioblastoma recurrence.

Shariq S Khwaja, Chunyu Cai, Shahed N Badiyan, Xiaowei Wang, Jiayi Huang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Impact of hypoxia on the molecular content of glioblastoma-derived exosomes.Extracellular vesicles and circulating nucleic acids · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Review
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 4 institutions in 1 country.

Shariq S KhwajaDepartment of Neurosurgery, UTHealth McGovern School of Medicine, Mischer Neuroscience Associates, Houston, TX, USA.
Chunyu CaiDepartment of Pathology, UT Southwestern Medical Center, Dallas, TX, USA.
Shahed N BadiyanDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
Xiaowei WangDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Jiayi HuangDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USSouthwestern Medical CenterThe University of Texas Health Science Center at Houston · USUniversity of Maryland, Baltimore · US

Funding

COMBINED COMPUTATIONAL AND EXPERIMENTAL ANALYSES OF GENE REGULATION BY MICRORNAS.R01GM089784 · NIGMS · WASHINGTON UNIVERSITY · PI WANG, XIAOWEI · 2010 to 2019
$2.8M
NIGMS NIH HHS R01 GM089784
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) has a high rate of local recurrence despite chemoradiotherapy (CRT). Genome-wide expression profiling was performed on patient tumors before and after chemoradiotherapy to identify genes and gene pathways associated with recurrence.

resultsMedian time to recurrence was 8.9 months with median time to second surgery of 9.6 months. The microRNA (miRNA) analysis identified 9 oncologic and immune-related miRNAs to be differentially expressed, including the hypoxia-related miR-210 and the immune-modulatory miR-146b. More than 1200 differentially-expressed genes were identified with RNA-sequencing (RNA-seq). Gene set enrichment analysis (GSEA) identified p53 signaling, Notch, Wnt, VEGF, and MEK gene sets enriched in recurrent GBM. Consistent with the miRNA profiling data, the miR-146b target gene set from GSEA analysis was also associated with recurrence.

methodsFourteen patients with GBM recurrence after CRT who had available tumor tissue from the initial diagnosis as well as recurrence were selected. Total RNA was isolated from formalin-fixed paraffin-embedded (FFPE) tumor specimens. Genome-wide expression profiling using RT-PCR for miRNA analysis and RNA-seq for messenger RNA (mRNA) analysis were conducted to identify differentially-expressed genes. GSEA was performed on the differential expression data.

conclusionsGenome-wide expression profiling identifies multiple oncologic and immune-related gene sets associated with GBM recurrence. In particular, immune-related miR-146b is upregulated in recurrence and deserves further investigation.

Indexed as

GBMgene expression profilinggliomamiR-146brecurrence

Identifiers

PMID30018734
PMCPMC6044384
OpenAlexW2811049000

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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.