Evidence map›Paper›PMID 31289510›Full record

ArticleOncology letters2019

RELB: A novel prognostic marker for glioblastoma as identified by population-based analysis.

Fan Zeng, Kuanyu Wang, Ruoyu Huang, Yanwei Liu, Ying Zhang, Huimin Hu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

6 authors at 2 institutions in 1 country.

Fan ZengDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, P.R. China.
Kuanyu WangDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, P.R. China.
Ruoyu HuangDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, P.R. China.
Yanwei LiuDepartment of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, P.R. China.
Ying ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, P.R. China.
Huimin HuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, P.R. China.
Capital Medical University · CNBeijing Institute of Neurosurgery · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most common and malignant type of glioma, with a poor prognosis for patients. The survival time of patients varies greatly due to the complexity of the human genome, which harbors diverse oncogenic drivers. In order to identify the specific driving factors, 325 glioma samples from the Chinese Glioma Genome Atlas (CGGA) database were analyzed in the present study. The level of RELB proto-oncogene, NF-κβ subunit (RELB) expression increased with the pathological grade progression of the gliomas, and higher expression levels were present in the mesenchymal subtype and isocitrate dehydrogenase 1 (IDH1) wild-type gliomas. This RELB expression pattern was identified in the CGGA database and observed in three large independent databases. In patients with GBM from the CGGA database, a higher RELB expression level was associated with a shorter survival time, a mesenchymal subtype and IDH1 wild-type gliomas. Kaplan-Meier survival analysis, survival nomograms and Cox analysis demonstrated an independent prognostic value for RELB expression. Moreover, biological function analysis indicated the association of RELB with the 'immune response', 'cell activation' and the 'apoptotic process'. In addition, RELB expression levels exhibited a negative correlation with the levels of microRNA (miR)-139-5p and miR-139-3p. The present study identified the pathological and biological roles of RELB in glioma and revealed its independent prognostic effect. These results suggested that RELB may be used as a prognostic biomarker and potential therapeutic target in glioma.

Indexed as

gene expressionglioblastomagliomaprognosisRELB

Identifiers

PMID31289510
PMCPMC6540354
OpenAlexW2943791119

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.