Evidence map›Paper›PMID 32952656›Full record

ArticleOncology letters2020

Whole-transcriptome sequencing profiling identifies functional and prognostic signatures in patients with PTPRZ1-MET fusion-negative secondary glioblastoma multiforme.

Bao-Shi Chen, Kuan-Yu Wang, Shu-Qing Yu, Chuan-Bao Zhang, Guan-Zhang Li, Zhi-Liang Wang, Zhao-Shi Bao

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Bao-Shi ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Kuan-Yu WangDepartment of Gamma Knife Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Shu-Qing YuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Chuan-Bao ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Guan-Zhang LiDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, P.R. China.
Zhi-Liang WangDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, P.R. China.
Zhao-Shi BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Capital Medical University · CNBeijing Tian Tan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most common type of primary brain tumor in adults with a high mortality rate. Low-grade gliomas progress to glioblastoma multiforme (GBM) in the majority of cases, forming secondary GBM (sGBM), followed by rapid fatal clinical outcomes. Protein tyrosine phosphatase receptor type Z1 (PTPRZ1)-MET proto-oncogene receptor tyrosine kinase (MET) (ZM) fusion has been identified as a biomarker for sGBM that is involved in glioma progression, but the mechanism of gliomagenesis and pathology of ZM-negative sGBM has remained to be fully elucidated. A whole-transcriptome signature is thus required to improve the outcome prediction for patients with sGBM without ZM fusion. In the present study, whole-transcriptome sequencing on 42 sGBM samples with or without ZM fusion from the Chinese Glioma Genome Atlas database identified mRNAs with differential expression between patients with and without ZM fusion and the most significant survival-associated genes were identified. A 6-gene signature was identified as a novel prognostic model reflecting survival probability in patients with ZM-negative sGBM. Clinical characteristics in patients with a high or low risk score value were analyzed with the Kaplan-Meier method and a two-sided log-rank test. In addition, ZM-negative sGBM patients with a high risk score exhibited an increase in immune cells, NF-κB-induced pathway activation and a decrease in endothelial cells compared with those with a low risk score. The present study demonstrated the potential use of a next-generation sequencing-based cancer gene signature in patients with ZM-negative sGBM, indicating possible clinical therapeutic strategies for further treatment of such patients.

Indexed as

gliomaimmune responsePTPRZ1-MET fusionrisk scoresecondary glioblastoma multiforme

Identifiers

PMID32952656
PMCPMC7479526
OpenAlexW3081885095

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.