Evidence map›Paper›PMID 36233633›Full record

ArticleJournal of clinical medicine2022

APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma.

Hua Zhu, Xinyao Hu, Shi Feng, Yuntao Li, Yonggang Zhang, Sheng Qiu, Ran Chen, Yingze Ye, Lijuan Gu, Zhihong Jian and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 2 institutions in 1 country.

Hua ZhuDepartment of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Central Hospital, Huzhou 313000, China.ORCID 0000-0002-3878-2672
Xinyao HuCancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Shi FengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yuntao LiDepartment of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Central Hospital, Huzhou 313000, China.
Yonggang ZhangDepartment of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Central Hospital, Huzhou 313000, China.
Sheng QiuDepartment of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Central Hospital, Huzhou 313000, China.
Ran ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yingze YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Lijuan GuCentral Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zhihong JianDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Ximing XuCancer Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Xiaoxing XiongDepartment of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Central Hospital, Huzhou 313000, China.
Wuhan University · CNHuzhou Central Hospital · CN

Funding

National Natural Science Foundation of China 31971166National Natural Science Foundation of China 81870939
6 · The paper itself

Abstract

Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprotein L4 (APOL4) in glioma. We downloaded the expression data of APOL4 and clinical information from several databases and used R software for preprocessing. The clinical significance of APOL4 in a glioma outcome was explored by the Cox regression analysis and Kaplan-Meier survival analysis. In addition, immune infiltrates and microenvironmental indicators were assessed by CIBERSORT and TIMER. GO and KEGG analyses were used to analyze the potential functions of APOL4 in gliomas. APOL4 expression was increased in glioma specimens compared to normal tissues and correlated dramatically with the WHO grade. A survival analysis showed a shorter overall survival (OS) in glioma patients with APOL4 overexpression, and a Cox regression analysis showed that APOL4 was an independent prognostic factor for the OS of glioma patients. GSEA, GO, and KEGG enrichment analyses showed remarkable enrichment in immune-related pathways. APOL4 expression was positively correlated with immune infiltration (including DC cells, neutrophils, CD8+ T cells, B cells, macrophages, CD4+ T cells, etc.) and microenvironmental parameters (including immune, stromal, and ESTIMATE scores) in gliomas. Glioma patients with a higher expression of APOL4 may be more sensitive to immune checkpoint inhibitors (ICI). In conclusion, these findings suggest that APOL4 is associated with the tumor grade and immune infiltrates; APOL4 may be a new and potential biomarker for therapeutic and prognostic evaluations that may further suggest the therapeutic efficacy of immunotherapy.

Indexed as

APOL4gliomaICIprognosistumor-infiltrating cells

Identifiers

PMID36233633
PMCPMC9572388
OpenAlexW4297982826

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.