Evidence map›Paper›PMID 28977840›Full record

ArticleOncotarget2017

Autophagy-related gene expression is an independent prognostic indicator of glioma.

Huixue Zhang, Xiaoyan Lu, Ning Wang, Jianjian Wang, Yuze Cao, Tianfeng Wang, Xueling Zhou, Yang Jiao, Lei Yang, Xiaokun Wang and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

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  20. Hedgehog Signaling Pathway and Autophagy in Cancer.International journal of molecular sciences · 2018
    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

17 authors at 4 institutions in 2 countries.

Huixue ZhangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Xiaoyan LuDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Ning WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Jianjian WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Yuze CaoDepartment of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Tianfeng WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Xueling ZhouDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Yang JiaoDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Lei YangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Xiaokun WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Lin CongDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Jianlong LiDepartment of Neurosurgery, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Jie LiDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
He-Ping MaDepartment of Physiology, Emory University School of Medicine, Atlanta, GA, USA.
Yonghui PanDepartment of Neurosurgery, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
Lihua WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we identified 74 differentially expressed autophagy-related genes in glioma patients. Analysis using a Cox proportional hazard regression model showed that MAPK8IP1 and SH3GLB1, two autophagy-related genes, were associated with the prognostic signature for glioma. Glioma patients from the CGGA batches 1 and 2, GSE4412 and TCGA datasets could be divided into high- and low-risk groups with different survival times based on levels of MAPK8IP1 and SH3GLB1 expression. The autophagy-related signature was an independent predictor of survival outcomes in glioma patients. MAPK8IP1 overexpression and SH3GLB1 knockdown inhibited glioma cell proliferation, migration and invasion, and improved Temozolomide sensitivity. These findings suggest autophagy-related genes like MAPK8IP1 and SH3GLB1 could be potential therapeutic targets in glioma.

Indexed as

autophagygliomaprognostic signaturesurvival

Identifiers

PMID28977840
PMCPMC5617400
OpenAlexW2613693672

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.