基于大量和单细胞RNA测序数据的胃癌新型神经相关预后模型的开发和验证
Lupeng Qiu1,2,3, Sheng Yao4, Zizhong Yang2
1Medical School of Chinese PLA, Beijing, China.
BMC cancer
|November 11, 2025
概括
一个新的神经相关风险评分 (NRRS) 有效地预测胃癌存活率. 这一分数突显了化疗和免疫疗法的潜在益处,为癌症治疗策略提供了新的见解.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 胃癌 (GC) 构成严重的健康威胁,神经活动越来越被认为是瘤微环境中的一个因素.
- 在GC中神经相关基因 (NRG) 的临床意义仍未得到充分研究.
研究的目的:
- 探索NRGs在胃癌中的临床影响.
- 为GC患者开发基于NRG的预后模型.
- 研究NRG,免疫微环境和GC进展之间的关系.
主要方法:
- 在8个GC和相邻的正常组织上进行单细胞RNA测序 (scRNA-seq).
- 对基因表达和患者数据的TCGA和GEO数据库的分析.
- 在441个NRG上使用LASSO回归构建神经相关风险评分 (NRRS).
主要成果:
- 一个8-NRG模型确定了NRRS,较低的得分与明显更长的整体存活时间 (OS) 相相关.
- 高NRRS与增加的免疫细胞透和免疫检查点分子丰富度有关.
- scRNA-seq在GC组织中证实了更高的NRRS,并在上皮和内皮细胞中确定了特定的NRG表达.
结论:
- 该NRRS作为一个强大的模型来预测GC患者的存活率.
- NRRS可以帮助识别可能对化疗和免疫治疗有好反应的GC患者.
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