Clinical features and molecular landscape of cuproptosis signature-related molecular subtype in gastric cancer.
Wei ChongHuicheng RenHao ChenKang XuXingyu ZhuYuan LiuYaodong SangHan LiJin LiuChunshui YeLiang ShangChangqing JingLeping LiPublished in: iMeta (2024)
Recent studies have highlighted the biological significance of cuproptosis in disease occurrence and development. However, it remains unclear whether cuproptosis signaling also has potential impacts on tumor initiation and prognosis of gastric cancer (GC). In this study, 16 cuproptosis-related genes (CRGs) transcriptional profiles were harnessed to perform the regularized latent variable model-based clustering in GC. A cuproptosis signature risk scoring (CSRS) scheme, based on a weighted sum of principle components of the CRGs, was used to evaluate the prognosis and risk of individual tumors of GC. Four distinct cuproptosis signature-based clusters, characterized by differential expression patterns of CRGs, were identified among 1136 GC samples across three independent databases. The four clusters were also associated with different clinical outcomes and tumor immune contexture. Based on the CSRS, GC patients can be divided into CSRS-High and CSRS-Low subtypes. We found that DBT, MTF1 , and ATP7A were significantly elevated in the CSRS-High subtype, while SLC31A1, GCSH, LIAS, DLAT, FDX1, DLD , and PDHA1 were increased in the CSRS-Low subtype. Patients with CSRS-Low score were characterized by prolonged survival time. Further analysis indicated that CSRS-Low score also correlated with greater tumor mutation burden (TMB) and higher mutation rates of significantly mutated genes (SMG) in GC. In addition, the CSRS-High subtype harbored more significantly amplified focal regions related to tumorigenesis ( 3q27.1, 12p12.1, 11q13.3 , etc.) than the CSRS-Low tumors. Drug sensitivity analyses revealed the potential compounds for the treatment of gastric cancer with CSRS-High score, which were experimentally validated using GC cells. This study highlights that cuproptosis signature-based subtyping is significantly associated with different clinical features and molecular landscape of GC. Quantitative evaluation of the CSRS of individual tumors will strengthen our understanding of the occurrence and development of cuproptosis and the treatment progress of GC.
Keyphrases
- gas chromatography
- risk assessment
- single cell
- end stage renal disease
- mass spectrometry
- ejection fraction
- machine learning
- chronic kidney disease
- emergency department
- gene expression
- computed tomography
- induced apoptosis
- magnetic resonance imaging
- newly diagnosed
- dna methylation
- peritoneal dialysis
- human health
- big data
- climate change
- case control