Identification and validation of an m1A-score model to predict outcomes and immunomodulation in lung squamous cell carcinoma by integrated analysis of single-cell and bulk RNA sequencing

通过整合单细胞和批量RNA测序数据,鉴定并验证m1A评分模型,以预测肺鳞状细胞癌的预后和免疫调节。

阅读:2
作者:Han Gong #,Haihang Zhang #,Lin Zhu #,Jing Liu,Dehui Xiong,Yibin Zhang

Abstract

Lung squamous cell carcinoma (LUSC) is a common and aggressive subtype of lung cancer, characterized by difficult treatment and poor prognosis. N1-methyladenosine (m1A) is an RNA modification that plays a crucial role in various biological processes. However, the mechanisms and clinical significance of m1A in LUSC have not been fully elucidated. In this study, we performed a comprehensive analysis of m1A regulators in LUSC. The results revealed significant dysregulation of m1A regulators in LUSC, despite a low frequency of genetic alterations. Through unsupervised clustering, we identified two distinct molecular subtypes associated with m1A modulators, exhibiting significant differences in biological entities and tumor microenvironments (TME). To better guide patient management, we developed an m1A scoring system that demonstrated modest predictive power and confirmability in an external cohort. Notably, the m1A score was positively correlated with cancer-associated fibroblasts (CAF), suggesting that CAF-induced immunosuppression may contribute to the poor prognosis, which was further validated through immunohistochemical analysis. Collectively, our findings offer insights into the potential role of m1A regulators in LUSC and may inform future research on their clinical implications. The m1A score model demonstrated predictive potential for prognosis and immunotherapy response in LUSC patients, though further validation in larger cohorts is needed.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。