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用于胃癌预后预测和免疫治疗评估的副凋亡相关分类及风险特征

Paraptosis-related classification and risk signature for prognosis prediction and immunotherapy assessment in gastric cancer.

作者信息

Zhou Kai, Chen Ruyue

机构信息

Department of Oncology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong Province, China.

Qingdao Medical College, Qingdao University, Ningxia Road 308, Qingdao, 266071, Shandong Province, China.

出版信息

Discov Oncol. 2025 Jun 16;16(1):1125. doi: 10.1007/s12672-025-02996-0.

Abstract

BACKGROUND

Gastric cancer (GC) poses a significant health threat due to its prevalence and poor prognosis. To improve outcomes, there is an urgent need for novel biomarkers. Paraptosis, a recently discovered form of programmed cell death, remains uninvestigated in GC, and understanding its mechanisms could offer new insights.

MATERIALS AND METHODS

In our study, we utilized the TCGA-STAD dataset as the training cohort and GSE84433 as the validation cohort to explore the association between paraptosis-related genes and the clinical risk of gastric cancer (GC). Our goals were to analyze the prognostic value and potential biological mechanisms of these genes. We conducted various analyses, including consistent clustering, differential gene expression analysis, enrichment analysis, and immune infiltration analysis. Ultimately, we developed a paraptosis-related risk signature (PRRS) to assess survival prognosis, drug sensitivity, and immune infiltration based on risk classification. The reliability of our findings was further verified through immunohistochemical staining.

RESULTS

Our results revealed distinct subgroups (C1, C2, and C3) among gastric cancer patients through consensus clustering based on 65 paraptosis-related genes. These subgroups exhibited significant variations in survival rates, immunity scores, and immune cell infiltration. We then developed the Paraptosis-Related Risk Score (PRRS) using cox-lasso regression analysis, incorporating genes such as SLCO2A1, VCAN, RAMP1, and MANEAL. The PRRS effectively distinguished between high-risk and low-risk populations. Validation in an independent dataset and immunohistochemical staining confirmed the accuracy of the PRRS. These findings highlight the close relationship between paraptosis and the immune microenvironment of gastric cancer tumors, and demonstrate the PRRS's robust performance in predicting patient survival.

CONCLUSION

This study underscores the link between paraptosis subtypes and changes in the gastric cancer immunotumour microenvironment. We developed and validated the Paraptosis-Related Risk Score (PRRS), which effectively predicts survival, immune infiltration, and drug sensitivity in gastric cancer patients. Our findings enhance the understanding of paraptosis and suggest potential new therapeutic strategies for gastric cancer.

摘要

背景

胃癌(GC)因其高发病率和不良预后对健康构成重大威胁。为改善治疗结果,迫切需要新的生物标志物。副凋亡是最近发现的一种程序性细胞死亡形式,在胃癌中尚未得到研究,了解其机制可能会提供新的见解。

材料与方法

在我们的研究中,我们使用TCGA-STAD数据集作为训练队列,GSE84433作为验证队列,以探索副凋亡相关基因与胃癌(GC)临床风险之间的关联。我们的目标是分析这些基因的预后价值和潜在生物学机制。我们进行了各种分析,包括一致性聚类、差异基因表达分析、富集分析和免疫浸润分析。最终,我们基于风险分类开发了一种副凋亡相关风险特征(PRRS),以评估生存预后、药物敏感性和免疫浸润。我们的研究结果的可靠性通过免疫组织化学染色进一步得到验证。

结果

我们的结果通过基于65个副凋亡相关基因的一致性聚类在胃癌患者中揭示了不同的亚组(C1、C2和C3)。这些亚组在生存率、免疫评分和免疫细胞浸润方面表现出显著差异。然后,我们使用cox-lasso回归分析开发了副凋亡相关风险评分(PRRS),纳入了SLCO2A1、VCAN、RAMP1和MANEAL等基因。PRRS有效地区分了高风险和低风险人群。在独立数据集中的验证和免疫组织化学染色证实了PRRS的准确性。这些发现突出了副凋亡与胃癌肿瘤免疫微环境之间的密切关系,并证明了PRRS在预测患者生存方面的强大性能。

结论

本研究强调了副凋亡亚型与胃癌免疫肿瘤微环境变化之间的联系。我们开发并验证了副凋亡相关风险评分(PRRS),其可有效预测胃癌患者的生存、免疫浸润和药物敏感性。我们的发现增进了对副凋亡的理解,并为胃癌提出了潜在的新治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f21/12170466/627681f00c9f/12672_2025_2996_Fig1_HTML.jpg

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