Immunotherapy and pan-apoptotic characterization of the tumor microenvironment in gastric cancer (STAD): a single-cell multidimensional analysis

被引:0
|
作者
Zhang, Sheng [1 ]
Wang, Jianhong [2 ]
Zhang, Huan [2 ]
Li, Benhua [3 ,4 ]
Gao, Shun [5 ]
机构
[1] Nanchong Cent Hosp, Clin Med Coll 2, North Sichuan Med Coll, Dept Radiol, Nanchong 637000, Peoples R China
[2] Guangan Vocat & Tech Coll, Dept Internal Med, Guangan 638000, Peoples R China
[3] Second Peoples Hosp Liangshan Autonomous Prefectur, Dept Clin Lab, Xichang 615000, Peoples R China
[4] Chongqing Med Univ, Affiliated Hosp 1, Clin Mol Med Testing Ctr, Chongqing 400016, Peoples R China
[5] Renshou Cty Peoples Hosp, Dept Med Affairs, Meishan 620500, Peoples R China
关键词
Stomach cancer; Pan-apoptosis; Single-cell; Immunotherapy; Molecular marker; Non-negative matrix factorization;
D O I
10.1007/s12672-024-01429-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundThe aim of this study was to elucidate the critical role of autophagy-related gene aggregation in gastric cancer tumor microenvironment cells and to investigate their major roles in cellular functions. In particular, the expression of these genes in tumor-associated fibroblast subtypes was scrutinized in an attempt to explain their cell-subpopulation-specific roles in cell-cell communication and regulation of cellular functions.MethodsIn this study, single-cell RNA sequencing data were first analyzed in multiple steps, including data preprocessing, cell clustering, and cell classification. Cell subpopulations and gene expression patterns were identified and analyzed using unsupervised non-negative matrix factorization (NMF) techniques. The dynamic expression of autophagy-related gene aggregates in various cell types was deciphered by pseudotime trajectory analysis (PTA). Intercellular communication analysis was performed using the CellChat R software package, revealing the intricate communication patterns and exchange of key signaling molecules between cell subpopulations, and SCENIC analysis was used to identify gene regulatory networks and reveal the mechanisms behind cellular heterogeneity.ResultCell subpopulations associated with pan-apoptosis were identified by NMF decomposition and SCENIC analysis. Cell-cell communication analysis revealed intricate communication patterns and exchange of key signaling molecules between cell subpopulations. Dynamic expression of autophagy-related genes aggregated in the pseudotemporal trajectory of STAD was observed by PTA. In the fibroblast subtype, different ligand-receptor interactions and their key roles in immunomodulation were observed.ConclusionBy deeply analyzing and comparing gene expression patterns within cellular subpopulations and intercellular communication, this study provides new insights into the role of pan-apoptosis-related genes in regulating immune responses and cellular functions in gastric cancer. These findings pave the way for further exploration of the role of these genes in tumorigenesis and immune regulation, as well as laying the foundation for potential therapeutic strategies.
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页数:25
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