Xi Zhang, Zijie Yu, Lu Yin, Qiang Li, Shaohua He, Heng Li, Jian Li, Lian Sheng, Hongfei Wu, Hongqi Chen, Xiaoxu Zhu, Yang Lv
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引用次数: 0
Abstract
Background: ccRCC (clear cell renal cell carcinoma) is characterized by metabolic reprogramming and immunosuppression, leading to poor clinical prognosis. In recent years, ammonia-related cell death has attracted increasing attention as a novel mechanism related to tumor progression, but its role in ccRCC has not been clarified.
Methods: In this study, the Ammonia-related Signature (AS) of ccRCC was constructed by integrating bioinformatics analysis and experimental verification. Multiple independent cohorts including TCGA, PMID 35,440,542 cohort, E-MTAB-1980, and GSE29609 were used to evaluate prognostic accuracy and clinical relevance, and biological functions of key ammonia related genes were explored by cell proliferation, clonal formation, migration, and invasion assays. ScRNA-seq was used to analyze interaction between AS and immune cells in ccRCC.
Results: The ammonia-related prognostic model demonstrated robust predictive power in multiple datasets. The high AS group of patients with poor prognosis, and the tumor mutation load, immunosuppressive cell infiltration level and immune checkpoint molecular expression were higher. BAX was a key ammonia-related gene closely related to tumor progression, and its knockdown obviously inhibit proliferation, migration and invasion of ccRCC cells. Single-cell analysis confirmed the activation of ammonia-related signaling pathways in the tumor microenvironment, in particular revealing specific interactions between BAX-positive tumor cells and immunosuppressive cell populations.
Conclusion: The ammonia-related cell death pathway, especially BAX, can be employed as a potential prognostic marker and therapeutic target for ccRCC, providing new ideas for individualized treatment strategies to overcome immunosuppression and improve clinical prognosis.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.