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PANoptosis 相关基因作为结直肠腺癌中有效的预后生物标志物发挥作用。

PANoptosis-related genes function as efficient prognostic biomarkers in colon adenocarcinoma.

机构信息

Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.

Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States.

出版信息

Front Endocrinol (Lausanne). 2024 Mar 4;15:1344058. doi: 10.3389/fendo.2024.1344058. eCollection 2024.

Abstract

BACKGROUND

PANoptosis is a newly discovered cell death type, and tightly associated with immune system activities. To date, the mechanism, regulation and application of PANoptosis in tumor is largely unknown. Our aim is to explore the prognostic value of PANoptosis-related genes in colon adenocarcinoma (COAD).

METHODS

Analyzing data from The Cancer Genome Atlas-COAD (TCGA-COAD) involving 458 COAD cases, we concentrated on five PANoptosis pathways from the Molecular Signatures Database (MSigDB) and a comprehensive set of immune-related genes. Our approach involved identifying distinct genetic COAD subtype clusters and developing a prognostic model based on these parameters.

RESULTS

The research successfully identified two genetic subtype clusters in COAD, marked by distinct profiles in PANoptosis pathways and immune-related gene expression. A prognostic model, incorporating these findings, demonstrated significant predictive power for survival outcomes, underscoring the interplay between PANoptosis and immune responses in COAD.

CONCLUSION

This study enhances our understanding of COAD's genetic framework, emphasizing the synergy between cell death pathways and the immune system. The development of a prognostic model based on these insights offers a promising tool for personalized treatment strategies. Future research should focus on validating and refining this model in clinical settings to optimize therapeutic interventions in COAD.

摘要

背景

PANoptosis 是一种新发现的细胞死亡类型,与免疫系统活动密切相关。迄今为止,PANoptosis 在肿瘤中的机制、调控和应用在很大程度上尚不清楚。我们的目的是探索 PANoptosis 相关基因在结肠腺癌(COAD)中的预后价值。

方法

分析来自癌症基因组图谱-COAD(TCGA-COAD)的涉及 458 例 COAD 病例的数据,我们集中研究了来自分子特征数据库(MSigDB)的五个 PANoptosis 途径和一套全面的免疫相关基因。我们的方法涉及确定不同的遗传 COAD 亚型簇,并基于这些参数开发预后模型。

结果

研究成功地在 COAD 中识别出两个遗传亚型簇,其特征是 PANoptosis 途径和免疫相关基因表达的不同特征。纳入这些发现的预后模型对生存结果具有显著的预测能力,突出了 PANoptosis 和 COAD 中免疫反应之间的相互作用。

结论

这项研究增强了我们对 COAD 遗传框架的理解,强调了细胞死亡途径与免疫系统之间的协同作用。基于这些见解开发预后模型为个性化治疗策略提供了有前途的工具。未来的研究应侧重于在临床环境中验证和改进该模型,以优化 COAD 中的治疗干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e07/10944899/68f2402fd307/fendo-15-1344058-g001.jpg

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