Evidence map›Paper›PMID 38331967›Full record

ArticleScientific reports2024

Discovery of lung adenocarcinoma tumor antigens and ferroptosis subtypes for developing mRNA vaccines.

Yan Chen, Changwen Zhang, Yu Li, Xiaoyu Tan, Wentao Li, Sen Tan, Guangnan Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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  5. Review
  6. Involvement of HMGB1-mediated ferroptosis in systemic diseases.Frontiers in cell and developmental biology · 2025
    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

7 authors at 1 institution in 1 country.

Yan Chen *Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Changwen Zhang *Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Yu Li *Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Xiaoyu TanDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Wentao LiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Sen TanDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China.
Guangnan LiuDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University, Daxue East Road No.166, Nanning, 530007, Guangxi, China. gnliu63@hotmail.com.
Guangxi Medical University · CN

Funding

Guangxi Clinical Medical Research Center for Respiratory Diseases 2022AC04005Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation under Grant 2023GXNSFBA026084National Natural Science Foundation of China 82060003Self-funded scientific research project of Guangxi Health Commission Z-A20230702
6 · The paper itself

Abstract

mRNA vaccines are becoming a feasible alternative for treating cancer. To develop mRNA vaccines against LUAD, potential antigens were identified and LUAD ferroptosis subtypes distinguished for selecting appropriate patients. The genome expression omnibus, cancer genome atlas (TCGA) and FerrDB were used to collect gene expression profiles, clinical information, and the genes involved in ferroptosis, respectively. cBioPortal was used to visualize and compare genetic alterations, GEPIA2 to calculate prognostic factors of the selected antigens, and TIMER to visualize the relationship between potential antigens and tumor immune cell infiltration. Consensus clustering analysis was utilized to identify ferroptosis subtypes and their prognostic value assessed by Log-rank and cox regression tests. The modules of ferroptosis-related gene screening were conducted by weight gene co-expression network analysis. The LUAD ferroptosis landscape was visualized through dimensionality reduction and graph learning. Six tumor antigens had obvious LUAD-mutations, positively correlated with different antigen-presenting cells, and might induce tumor cell ferroptosis. LUAD patients were stratified into three ferroptosis subtypes (FS1, FS2, and FS3) according to diverse molecular, cellular, and clinical characteristics. FS3 showed the highest tumor mutation burden and the most somatic mutations, deemed potential indicators of mRNA vaccine effectiveness. Moreover, different ferroptosis subtypes expressed distinct immune checkpoints and immunogenic cell death modulators. AGPS, NRAS, MTDH, PANX1, NOX4, and PPARD are potentially suitable for mRNA vaccinations against LUAD, specifically in patients with FS3 tumors. This study defines vaccination candidates and establishes a theoretical basis for LUAD mRNA vaccinations.

Indexed as

Adenocarcinoma of LungFerroptosisLung NeoplasmsAntigens, NeoplasmConnexinsHumansMembrane ProteinsmRNA VaccinesNerve Tissue ProteinsRNA-Binding ProteinsRNA, MessengerAntigens, NeoplasmConnexinsMembrane ProteinsmRNA VaccinesMTDH protein, humanNerve Tissue ProteinsPANX1 protein, humanRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID38331967
PMCPMC10853282
OpenAlexW4391652217

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.