Evidence map›Paper›PMID 31282108›Full record

ArticleJournal of cellular and molecular medicine2019

Integrated analysis identified core signal pathways and hypoxic characteristics of human glioblastoma.

Yixing Gao, Erlong Zhang, Bao Liu, Kai Zhou, Shu He, Lan Feng, Gang Wu, Mianfu Cao, Haibo Wu, Youhong Cui and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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  17. Reprogramming of mRNA biology · 2021
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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

15 authors at 1 institution in 1 country.

Yixing GaoInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Erlong ZhangInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.
Bao LiuInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.
Kai ZhouInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Shu HeInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.
Lan FengInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.
Gang WuInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.
Mianfu CaoInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Haibo WuInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Youhong CuiInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Xia ZhangInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Xindong LiuInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Yan WangInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Yuqi GaoInstitute of Medicine and Equipment for High Altitude Region, College of High Altitude Military Medicine, Army Medical University, and Key Laboratory of Extreme Environmental Medicine, Ministry of Education of China, Chongqing, China.ORCID 0000-0001-9614-062X
Xiuwu BianInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a hallmark for glioblastoma (GBM), high heterogeneity causes a variety of phenotypes and therapeutic responses among GBM patients, and it contributes to treatment failure. Moreover, hypoxia is a predominant feature of GBM and contributes greatly to its phenotype. To analyse the landscape of gene expression and hypoxic characteristics of GBM cells and their clinical significance in GBM patients, we performed transcriptome analysis of the GBM cell line U87-MG and the normal glial cell line HEB under normoxia and hypoxia conditions, with the results of which were analysed using established gene ontology databases as well as The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia. We revealed core signal pathways, including inflammation, angiogenesis and migration, and for the first time mapped the components of the toll-like receptor 6 pathway in GBM cells. Moreover, by investigating the signal pathways involved in homoeostasis, proliferation and adenosine triphosphate metabolism, the critical response of GBM to hypoxia was clarified. Experiments with cell lines, patient serum and tissue identified IL1B, CSF3 and TIMP1 as potential plasma markers and VIM, STC1, TGFB1 and HMOX1 as potential biopsy markers for GBM. In conclusion, our study provided a comprehensive understanding for signal pathways and hypoxic characteristics of GBM and identified new biomarkers for GBM patients.

Indexed as

Gene Expression ProfilingCell Line, TumorGene Expression Regulation, NeoplasticGlioblastomaGlycoproteinsHeme Oxygenase-1HumansInterleukin-1betaSignal TransductionTissue Inhibitor of Metalloproteinase-1TranscriptomeTransforming Growth Factor beta1Tumor HypoxiaVimentinGlycoproteinsHeme Oxygenase-1HMOX1 protein, humanIL1B protein, humanInterleukin-1betateleocalcinTGFB1 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Transforming Growth Factor beta1VimentinVIM protein, humancore signal pathwaysglioblastomahypoxiatranscriptome

Identifiers

PMID31282108
PMCPMC6714287
OpenAlexW2960448134

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.