ArticleAging2023
The expression and prognostic value of disulfidptosis progress in lung adenocarcinoma.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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The trial behind it
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Who cites it
43 citing papers in PubMed, 39 citations in OpenAlex.
- Integrative multi-omics analysis identifies LIPA as a prognostic hub and ferroptosis regulator in lung adenocarcinoma.Molecular and cellular biochemistry · 2026Article
- Article
- An Integrative Methylation-Metabolism Gene Signature Defines Prognosis and Immunosuppressive Microenvironment in Prostate Cancer.Chemical biology & drug design · 2026Article
- Machine learning-based identification of a metabolic cell death gene signature for assessing disease activity and immunological landscape in inflammatory bowel disease.Scientific reports · 2026Article
- Prognostic genes in hepatocellular carcinoma and their function: an analysis integrating high-throughput-based spatial transcriptomics and single-cell RNA-sequencing.Journal of gastrointestinal oncology · 2026Article
- Mechanistic Role of Disulfidptosis in Type 2 Diabetes Mellitus.Molecular nutrition & food research · 2026Review
- Disulfidptosis-related genes define a prognostic signature and novel therapeutic targets in Ewing's sarcoma through transcriptomic analysis and experimental validation.Frontiers in immunology · 2026Article
- IL6/IL10/TLR4 Govern Immunogenic Cell Death in Aortic Dissection.Cardiovascular therapeutics · 2026Article
- Integrative transcriptomic and single-cell analysis reveals mitochondrial-related gene biomarkers in heart failure with preserved ejection fraction.Scientific reports · 2025Article
- Disulfidptosis-associated gene signatures in sepsis: a diagnostic model based on an LLM-assisted bioinformatics analysis.Health information science and systems · 2025Article
- Silencing ZIC5 suppresses glycolysis and promotes disulfidptosis in lung adenocarcinoma cells.Cancer biology & therapy · 2025Article
- Screening of key genes related to disulfidptosis in psoriasis based on the analysis of WGCNA.Scientific reports · 2025Article
- A novel disulfidptosis-related mRNA signature predicts prognosis and therapeutic response in lung squamous cell carcinoma.BMC pulmonary medicine · 2025Article
- Advances in novel cell death mechanisms in breast cancer: intersecting perspectives on ferroptosis, cuproptosis, disulfidptosis, and pyroptosis.Molecular cancer · 2025Review
- Prognostic model of lung adenocarcinoma based on disulfidptosis-related genes and analysis of in vitro cell experiments for PPP1R14B in the model.Biology direct · 2025Article
- Single cell analysis and bioinformatics reveal pyroptosis mechanisms in hepatocellular carcinoma.Discover oncology · 2025Article
- Based on single-cell and transcriptome data, ferroptosis and the immunological landscape in osteosarcoma were discovered.Discover oncology · 2025Article
- NCKAP1 Inhibits the Progression of Renal Carcinoma via Modulating Immune Responses and the PI3K/AKT/mTOR Signaling Pathway.International journal of molecular sciences · 2025Article
- Construction of T-Cell-Related Prognostic Risk Models and Prediction of Tumor Immune Microenvironment Regulation in Pancreatic Adenocarcinoma via Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq.International journal of molecular sciences · 2025Article
- Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disulfidptosis is a new cell death model caused by accumulating intracellular disulfides bonding to actin cytoskeleton proteins. This study aimed to investigate the expression and prognostic value of disulfidptosis-related genes (DRGs) in lung adenocarcinoma (LUAD). The data of expression profiles and scRNA-seq were collected from TCGA and GEO databases. The different expressions of DRGs between normal and LUAD tissues were compared. The LASSO analysis and multivariate Cox regression analysis were utilized to develop a DRGs model for the prognosis evaluation in LUAD. The model's predictive accuracy was evaluated with the area under the receiver operating characteristic curve (AUC) and C-index. Survival analysis, univariate and multivariate Cox regression analysis were used to assessing the predictive value of the DRGs model. ScRNA-seq data were analyzed with "Seurat" and "Monocle 2" packages. There were significant differences in 22 DRGs between normal and tumor tissues. A model with five DRGs (ACTB, FLNB, NCKAP1, SLC3A2, SLC7A11) was constructed. The AUC and C-index of the model were significantly higher than that based on clinical parameters. Survival analysis, univariate and multivariate Cox regression analysis demonstrated risk score was an independent prognostic predictor. In the scRNA-seq study, we identified 14 clusters and 11 cell types. Clusters 2, 8, and 13 were annotated into Epithelial cells. SLC7A11 and SLC3A2, NCKAP1 and FLNB, ACTB expressed most abundantly in Epithelial cells, Endothelial cells, Naive CD4 T, respectively. We explored the expression of DRGs in LUAD and constructed a predictive DRGs model, which was stable and reliable for predicting LUAD prognosis.
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Registered trials
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.