APOPTOSIS · 2024 · 16 citations · 32 references
MedicineMolecular MedicineOncologyGene ExpressionMolecular OncologyTranscriptomicsCancer BiomarkersCancer Survival AnalysisCancer TranscriptomicsMolecular Tumor ProfilingNoncoding Rna In CancerTranscriptomic ProfilingLong Non-coding Ribonucleic AcidsLong Non-coding Rna BiomarkersNoncoding Rna Expression ProfilingPrognostic Expression SignaturesPrognostic Gene SignaturesPrognostic Rna BiomarkersPrognostic Signature DevelopmentTranscriptome Analysis
This study aims to investigate the role and prognostic significance of long non-coding RNAs (lncRNAs) associated with disulfidptosis in colon adenocarcinoma (COAD). The TCGA database's clinical data and transcriptome profiles were employed. Analysis of previous studies identified 10 disulfidptosis-related genes (DRGs). We used these genes to construct a signature that could independently and accurately predict the prognosis of patients with COAD. The Kaplan-Meier (K-M) curve analysis showed that the lower-risk group had a better prognosis. With the help of multivariate Cox regression analysis, the risk score produced from the patient's signature might independently predict the outcomes. Utilizing a nomogram, the receiver operating characteristic (ROC) curve, and principal component analysis (PCA), the signature's predictive ability was also confirmed. It's interesting to note that immunotherapy, especially PD-1 immune checkpoint suppression, was more likely to benefit low-risk patients. The IC50 levels for certain anticancer agents were lower in the high-risk group. Finally, qRT-PCR analyses in colon cancer cell lines revealed elevated levels of lncRNAs CASC9, ZEB1-AS1, ATP2A1-AS1, SNHG7, AL683813.1, and AP003555.1, and reduced levels of FAM160A1-DT and AC112220.2, compared to normal cell lines. This signature offers insights into prognosis, tumor microenvironment, and options for immunotherapy and antitumor drugs in patients with COAD.
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Gene Ontology: tool for the unification of biology
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