Evidence map›Paper›PMID 38515109›Full record

ArticleBMC medical genomics2024

GPX8

Ying Bai, Tao Han, Yunjia Dong, Chao Liang, Lu Gao, Yafeng Liu, Jiawei Zhou, Jianqiang Guo, Deyong Ge, Jing Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Glutathione-Dependent Pathways in Cancer Cells.International journal of molecular sciences · 2024
    Review
  5. 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

11 authors at 1 institution in 1 country.

Ying Bai *Key Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China.
Tao Han *School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Yunjia DongSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Chao LiangSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Lu GaoSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Yafeng LiuSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Jiawei ZhouSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Jianqiang GuoSchool of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China.
Deyong GeKey Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China. biogede@sina.com.
Jing WuKey Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China. wujing8008@126.com.
Dong HuKey Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China. dhu@aust.edu.cn.
Anhui University of Science and Technology · CN

Funding

Anhui Province Engineering Laboratory of Occupational Health and Safety AYZJSGCLK202201001, AYZJSGCLK 202202001Collaborative Innovation Project of Colleges and Universities of Anhui Province GXXT-2020-058Independent Research Fund of Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education EK20202001Key Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes AYZJSGXLK202202002National Natural Science Foundation of China 81971483Open Research Fund of Anhui Province Engineering Laboratory of Occupational Health and Safety AYZJSGCLK202201002Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology 2022y jrc14Youth Fund of Anhui University of Science and Technology QNZD202203
6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment of lung adenocarcinoma (LUAD) and are often associated with poorer clinical outcomes. This study aimed to screen for CAF-specific genes that could serve as promising therapeutic targets for LUAD.

methodsWe established a single-cell transcriptional profile of LUAD, focusing on genetic changes in fibroblasts. Next, we identified key genes associated with fibroblasts through weighted gene co-expression network analysis (WGCNA) and univariate Cox analysis. Then, we evaluated the relationship between glutathione peroxidase 8 (GPX8) and clinical features in multiple independent LUAD cohorts. Furthermore, we analyzed immune infiltration to shed light on the relationship between GPX8 immune microenvironment remodeling. For clinical treatment, we used the tumor immune dysfunction and exclusion (TIDE) algorithm to assess the immunotherapy prediction efficiency of GPX8. After that, we screened potential therapeutic drugs for LUAD by the connectivity map (cMAP). Finally, we conducted a cell trajectory analysis of GPX8

resultsFibroblasts were found to be enriched in tumor tissues. Then we identified GPX8 as a key gene associated with CAFs through comprehensive bioinformatics analysis. Further analysis across multiple LUAD cohorts demonstrated the relationship between GPX8 and poor prognosis. Additionally, we found that GPX8 played a role in inducing the formation of an immunosuppressive microenvironment. The TIDE method indicated that patients with low GPX8 expression were more likely to be responsive to immunotherapy. Using the cMAP, we identified beta-CCP as a potential drug-related to GPX8. Finally, cell trajectory analysis provided insights into the dynamic process of GPX8

conclusionsThis study elucidates the association between GPX8

Indexed as

Adenocarcinoma of LungCancer-Associated FibroblastsLung NeoplasmsFibroblastsHumansImmunotherapyPeroxidasesPrognosisTumor MicroenvironmentGPX8 protein, humanPeroxidasesCancer-associated fibroblastsGPX8Immunosuppressive microenvironmentLung adenocarcinomaPrognosis

Identifiers

PMID38515109
PMCPMC10958965
OpenAlexW4393056426

What Socratic 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 Socratic graph.