Evidence map›Paper›PMID 38613802›Full record

ArticleAging2024

Identification of a robust biomarker LAPTM4A for glioma based on comprehensive computational biology and experimental verification.

Yongqi Ding, Yike Jiang, Hong Zeng, Minqin Zhou, Xuanrui Zhou, Zichuan Yu, Jingying Pan, Xitong Geng, Yanting Zhu, Hao Zheng and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Yongqi DingDepartment of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China.
Yike JiangSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Hong ZengSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Minqin ZhouSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Xuanrui ZhouSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Zichuan YuSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Jingying PanSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Xitong GengSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Yanting ZhuSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Hao ZhengSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Shuhan HuangSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Yiyang GongSecond College of Clinical Medicine, Nanchang University, Nanchang, Jiangxi 330006, China.
Huabin HuangDepartment of Radiology, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China.
Chengfeng XiongDepartment of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China.
Da HuangDepartment of Thyroid Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China.
Second Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma, a highly invasive and deadly form of human neoplasm, presents a pressing need for the exploration of potential therapeutic targets. While the lysosomal protein transmembrane 4A (LATPM4A) has been identified as a risk factor in pancreatic cancer patients, its role in glioma remains unexplored.

methodsThe analysis of differentially expressed genes (DEG) was conducted from The Cancer Genome Atlas (TCGA) glioma dataset and the Genotype Tissue Expression (GTEx) dataset. Through weighted gene co-expression network analysis (WGCNA), the key glioma-related genes were identified. Among these, by using Kaplan-Meier (KM) analysis and univariate/multivariate COX methods, LAPTM4A emerged as the most influential gene. Moreover, the bioinformatics methods and experimental verification were employed to analyze its relationships with diagnosis, clinical parameters, epithelial-mesenchymal transition (EMT), metastasis, immune cell infiltration, immunotherapy, drug sensitivity, and ceRNA network.

resultsOur findings revealed that LAPTM4A was up-regulated in gliomas and was associated with clinicopathological features, leading to poor prognosis. Furthermore, functional enrichment analysis demonstrated that LATPM4A played a role in the immune system and cancer progression.

conclusionsIn conclusion, our study identifies LATPM4A as a promising biomarker for prognosis and immune characteristics in glioma.

Indexed as

Biomarkers, TumorBrain NeoplasmsComputational BiologyGliomaMembrane ProteinsCell Line, TumorEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMembrane Transport ProteinsPrognosisBiomarkers, TumorLAPTM4A protein, humanMembrane ProteinsMembrane Transport ProteinsceRNAgliomaimmune infiltrationLAPTM4Aprognostic biomarker

Identifiers

PMID38613802
PMCPMC11087115
OpenAlexW4394786749

What OpenQuestion holds

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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.