Evidence map›Paper›PMID 38840910›Full record

ArticleFrontiers in immunology2024

Identifying and assessing a prognostic model based on disulfidptosis-related genes: implications for immune microenvironment and tumor biology in lung adenocarcinoma.

Jin Wang, Kaifan Liu, Jiawen Li, Hailong Zhang, Xian Gong, Xiangrong Song, Meidan Wei, Yaoyu Hu, Jianxiang Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 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
–field-weighted citation impact
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.

  1. The emerging roles of disulfidptosis in cancer.Apoptosis : an international journal on programmed cell death · 2026
    Review
  2. Article
  3. Article
  4. 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

9 authors.

Jin WangSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Kaifan LiuSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Jiawen LiSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Hailong ZhangSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Xian GongSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Xiangrong SongSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Meidan WeiSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Yaoyu HuSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.
Jianxiang LiSchool of Public Health, Suzhou Medical College of Soochow University, Jiangsu, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lung cancer, with the highest global mortality rate among cancers, presents a grim prognosis, often diagnosed at an advanced stage in nearly 70% of cases. Recent research has unveiled a novel mechanism of cell death termed disulfidptosis, which is facilitated by glucose scarcity and the protein SLC7A11. Methods: Utilizing the least absolute shrinkage and selection operator (LASSO) regression analysis combined with Cox regression analysis, we constructed a prognostic model focusing on disulfidptosis-related genes. Nomograms, correlation analyses, and enrichment analyses were employed to assess the significance of this model. Among the genes incorporated into the model, CHRNA5 was selected for further investigation regarding its role in LUAD cells. Biological functions of CHRNA5 were assessed using EdU, transwell, and CCK-8 assays. Results: The efficacy of the model was validated through internal testing and an external validation set, with further evaluation of its robustness and clinical applicability using a nomogram. Subsequent correlation analyses revealed associations between the risk score and infiltration of various cancer types, as well as oncogene expression. Enrichment analysis also identified associations between the risk score and pivotal biological processes and KEGG pathways. Our findings underscore the significant impact of CHRNA5 on LUAD cell proliferation, migration, and disulfidptosis. Conclusion: This study successfully developed and validated a robust prognostic model centered on disulfidptosis-related genes, providing a foundation for predicting prognosis in LUAD patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsNomogramsReceptors, NicotinicTumor MicroenvironmentBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleNerve Tissue ProteinsPrognosisBiomarkers, TumorCHRNA5 protein, humanNerve Tissue ProteinsReceptors, Nicotinicdisulfidptosisimmune infiltrationLASSOlung cancerprognostic model

Identifiers

PMID38840910
PMCPMC11150594

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.