Suppr超能文献

开发基于丁酸盐代谢相关基因的分子亚型和评分系统,预测膀胱癌的预后和免疫治疗反应。

Development of a butyrate metabolism-related gene-based molecular subtypes and scoring system for predicting prognosis and immunotherapy response in bladder cancer.

机构信息

Department of Ophthalmology, Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, China.

Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi, China.

出版信息

J Cancer Res Clin Oncol. 2023 Oct;149(13):12489-12505. doi: 10.1007/s00432-023-05067-5. Epub 2023 Jul 14.

Abstract

PURPOSE

In recent times, multiple molecular subtypes with varying prognoses have been identified in bladder cancer (BLCA). However, the attributes of butyrate metabolism-related (BMR) molecular subtypes and their correlation with immunotherapy response remain inadequately explored in BLCA.

METHODS

We utilized 594 samples of BLCA to investigate the molecular subtypes mediated by BMR genes and their correlation with the immunotherapy response. To quantify the BMR features of individual tumors, we developed a BMR score through the COX and LASSO regression methods. Clinical-related, tumor microenvironment, drug-sensitive and immunotherapy analyses were used to comprehensively analyze BMR scores.

RESULTS

Two distinct molecular subtypes related to butyrate metabolism were identified in BLCA, each with unique prognostic implications and immune microenvironments. BMR score was constructed based on 7 BMR genes and was used to classify the patients into two score groups. Clinical analysis revealed that the BMR score was an independent prognostic factor. The higher the score, the worse the prognosis. The BMR score can also predict tumor immunity. The results demonstrated that a low BMR score was associated with higher efficacy of immunotherapy, which was also validated by an external dataset.

CONCLUSION

Our study proposes both molecular subtypes and a BMR-based score as promising prognostic classifications in BLCA. These findings may offer new insights for the development of precise targeted cancer therapies.

摘要

目的

近年来,膀胱癌(BLCA)中已经确定了多种具有不同预后的分子亚型。然而,BLCA 中关于丁酸代谢相关(BMR)分子亚型的特征及其与免疫治疗反应的相关性仍未得到充分探讨。

方法

我们利用 594 个 BLCA 样本,研究了由 BMR 基因介导的分子亚型及其与免疫治疗反应的相关性。为了量化个体肿瘤的 BMR 特征,我们通过 COX 和 LASSO 回归方法开发了 BMR 评分。临床相关、肿瘤微环境、药物敏感性和免疫治疗分析用于全面分析 BMR 评分。

结果

BLCA 中确定了两种与丁酸代谢相关的不同分子亚型,每个亚型都具有独特的预后意义和免疫微环境。BMR 评分基于 7 个 BMR 基因构建,并用于将患者分为两个评分组。临床分析表明,BMR 评分是一个独立的预后因素。评分越高,预后越差。BMR 评分还可以预测肿瘤免疫。结果表明,低 BMR 评分与免疫治疗的更高疗效相关,这也通过外部数据集得到了验证。

结论

我们的研究提出了分子亚型和基于 BMR 的评分作为 BLCA 中很有前途的预后分类方法。这些发现可能为精确靶向癌症治疗的发展提供新的思路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验