Evidence map›Paper›PMID 34527446›Full record

ArticlePeerJ2021

Prognostic impact of a lymphocyte activation-associated gene signature in GBM based on transcriptome analysis.

Yujia Lan, Erjie Zhao, Xinxin Zhang, Xiaojing Zhu, Linyun Wan, Suru A, Yanyan Ping, Yihan Wang

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

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 1 institution in 1 country.

Yujia Lan *Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Erjie Zhao *Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Xinxin ZhangHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Xiaojing ZhuHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Linyun WanHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Suru AHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Yanyan PingHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Yihan WangHarbin Medical University, College of Bioinformatics Science and Technology, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is a highly, malignant tumor of the primary central nervous system. Patients diagnosed with this type of tumor have a poor prognosis. Lymphocyte activation plays important roles in the development of cancers and its therapeutic treatments.

objectiveWe sought to identify an efficient lymphocyte activation-associated gene signature that could predict the progression and prognosis of GBM.

methodsWe used univariate Cox proportional hazards regression and stepwise regression algorithm to develop a lymphocyte activation-associated gene signature in the training dataset (TCGA,

resultsWe identified a lymphocyte activation-associated gene signature (

conclusionsIn summary, our results suggested that the lymphocyte activation-associated gene signature is a promising factor for the survival of patients, which is helpful for the prognosis of GBM patients.

Indexed as

Glioblastoma multiforme (GBM)Lymphocyte activation-associated gene signatureLymphocyte activityOverall survivalPrognostic biomarker

Identifiers

PMID34527446
PMCPMC8401751
OpenAlexW3195432716

What OpenQuestion holds

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LicenceCC BY
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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.