Evidence map›Paper›PMID 34093944›Full record

ArticleInternational journal of clinical and experimental pathology2021

Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging acceleration.

Huize Wang, Shiyan Li, Hongxin Liu, Shiyu Bian, Wanjiang Huang, Chengzhong Xing, Yin Wang

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

Article in International journal of clinical and experimental pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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, 0 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 3 institutions in 1 country.

Huize WangDepartment of Nursing, First Affiliated Hospital of China Medical University 155# North Nanjing Street, Shenyang 110001, Liaoning, China.
Shiyan LiDepartment of Biomedical Engineering, School of Fundamental Sciences, China Medical University Shenyang 110122, Liaoning Province, China.
Hongxin LiuDepartment of Biomedical Engineering, School of Fundamental Sciences, China Medical University Shenyang 110122, Liaoning Province, China.
Shiyu BianChina Medical University - The Queen's University of Belfast Joint College, China Medical University Shenyang 110122, Liaoning Province, China.
Wanjiang HuangNo. 10 Middle School Xiangyang 441021, Hubei Province, China.
Chengzhong XingTumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University 155# North Nanjing Street, Heping District, Shenyang 110001, Liaoning Province, China.
Yin WangTumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University 155# North Nanjing Street, Heping District, Shenyang 110001, Liaoning Province, China.
China Medical University · CNFirst Hospital of China Medical University · CNHubei University of Arts and Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is an aggressive brain tumor and the mechanisms of progression are very complex. Accelerated aging is a driving factor of GBM. However, there has not been thorough research about the mechanisms of GBM progression based on aging acceleration.

methodsThe aging predictor was modeled based on normal brain samples. Then an aging acceleration background network was constructed to explore GBM mechanisms.

resultsThe accelerated aging-related mechanisms provided an innovative way to study GBM, wherein integrative analysis of somatic mutations and differential expression revealed key pathologic characteristics. Moreover, the influence of the immune system, the nervous system and other critical factors on GBM were identified. The survival analysis also disclosed crucial GBM markers.

conclusionAn integrative analysis of multi-omics data based on aging acceleration identified new driving factors for GBM.

Indexed as

Agingglioblastomaintegrative analysisnetwork analysis

Identifiers

PMID34093944
PMCPMC8167488
OpenAlexW3173136455

What OpenQuestion holds

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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.