Academic Journal
Integrated analysis of disulfidptosis-related immune genes signature to boost the efficacy of prognostic prediction in gastric cancer
| العنوان: | Integrated analysis of disulfidptosis-related immune genes signature to boost the efficacy of prognostic prediction in gastric cancer |
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| المؤلفون: | Li, Jie, Yu, Tian, Sun, Juan, Ma, Mingwei, Zheng, Zicheng, He, Yixuan, Kang, Weiming, Ye, Xin |
| المساهمون: | National High Level Hospital Clinical Research Funding, Beijing Natural Science Foundation, Bethune Charitable Foundation, Wu Jieping Medical Foundation, Beijing Xisike Clinical Oncology Research Foundation, Beijing Medical Award Foundation |
| المصدر: | Cancer Cell International ; volume 24, issue 1 ; ISSN 1475-2867 |
| بيانات النشر: | Springer Science and Business Media LLC |
| سنة النشر: | 2024 |
| الوصف: | Background Gastric cancer (GC) remains a malignant tumor with high morbidity and mortality, accounting for approximately 1,080,000 diagnosed cases and 770,000 deaths worldwide annually. Disulfidptosis, characterized by the stress-induced abnormal accumulation of disulfide, is a recently identified form of programmed cell death. Substantial studies have demonstrated the significant influence of immune clearance on tumor progression. Therefore, we aimed to explore the intrinsic correlations between disulfidptosis and immune-related genes (IRGs) in GC, as well as the potential value of disulfidptosis-related immune genes (DRIGs) as biomarkers. Methods This study incorporated the single-cell RNA sequencing (scRNA-seq) dataset GSE183904 and transcriptome RNA sequencing of GC from the TCGA database. Disulfidptosis-related genes (DRGs) and IRGs were derived from the representative literature on both cell disulfidptosis and immunity. The expression and distribution of DRGs were investigated at the single-cell level in different GC cell types. Pearson correlation analysis was used to identify the IRGs closely related to disulfidptosis. The prognostic signature of DRIGs was established using Cox and LASSO analyses. We then analyzed and evaluated the differences in long-term prognosis, Gene Set Enrichment Analysis (GSEA), immune infiltration, mutation profile, CD274 expression, and response to chemotherapeutic drugs between the two groups. A tissue array containing 63 paired GC specimens was used to verify the expression of 4 DRIGs and disulfidptosis regulator SLC7A11 through immunohistochemistry staining. Results The scRNA-seq analysis found that SLC7A11 , SLC3A2 , RPN1 and NCKAP1 were enriched in specific cell types and closely related to immune infiltration. Four DIRGs ( GLA , HIF-1α , VPS35 and CDC37 ) were successfully identified to establish a signature to potently predict the survival time of GC patients. Patients with high risk scores generally experienced worse prognoses and exhibited greater resistant to ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1186/s12935-024-03294-5 |
| DOI: | 10.1186/s12935-024-03294-5.pdf |
| DOI: | 10.1186/s12935-024-03294-5/fulltext.html |
| الاتاحة: | http://dx.doi.org/10.1186/s12935-024-03294-5 https://link.springer.com/content/pdf/10.1186/s12935-024-03294-5.pdf https://link.springer.com/article/10.1186/s12935-024-03294-5/fulltext.html |
| Rights: | https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0 |
| رقم الانضمام: | edsbas.89796869 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1186/s12935-024-03294-5 |
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