RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:A multi-omic analysis reveals a predictive value of tertiary lymphoid structures in improving the prognosis of colorectal cancer patients with BRAF mutation.
A multi-omic analysis reveals a predictive value of tertiary lymphoid structures in improving the prognosis of colorectal cancer patients with BRAF mutation.
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TLS 相关预后特征可作为预测 CRC 结局的有效工具。此外,瘤内 TLS 可能改善 BRAF MT CRC 患者的预后,凸显其作为治疗和预后生物标志物的潜力。结直肠癌,BRAF 突变,三级淋巴结构,肿瘤微环境,预后。
BRAF突变在结直肠癌(CRC)中普遍存在,且通常预示预后不良。三级淋巴结构(TLS)作为肿瘤免疫微环境的重要组成部分,存在于多种恶性肿瘤中,常与免疫治疗反应改善和生存期延长相关。然而,TLS能否抵消CRC中BRAF突变的不良预后影响,目前尚未被探索。本研究描述了CRC中TLS的特征(位置、数量、成熟度)及其与BRAF突变状态和临床病理特征的相关性,并专门评估了TLS在减轻BRAF突变负面预后影响中的潜在作用。
对来自GSE146771、GSE146771、GSE200997、GSE205506和GSE231559的单细胞RNA测序数据,以及来自TCGA CRC队列的bulk RNA-seq数据进行了分析。使用单因素Cox回归和最小绝对收缩和选择算子(LASSO)回归鉴定预后基因,随后用于构建TLS相关预后特征。采用Kaplan-Meier生存分析和受试者工作特征(ROC)曲线分析评估该特征的预测性能。使用ESTIMATE和CIBERSORT算法评估免疫浸润。对200例CRC患者组织切片进行TLS的组织病理学评估。比较BRAF野生型(BRAF WT)组与BRAF突变型(BRAF MT)组之间的临床病理特征。分析BRAF突变状态与TLS位置、数量、成熟度以及总生存期(OS)之间的关联。
TLS在CRC肿瘤微环境中表现出不同的表达模式。基于LASSO回归分析构建了一个10基因预后模型。BRAF MT CRC患者表现出不利的临床病理特征,包括低分化、晚期T分期和淋巴结转移。同时,BRAF WT CRC与更多数量及更高成熟度的TLS相关。值得注意的是,BRAF WT、TLS-high(TLS High)和BRAF WT-TLS High亚组患者的OS较其他组显著改善。
BRAF mutations are prevalent in colorectal cancer (CRC) and generally confer a poor prognosis. Tertiary lymphoid structures (TLS), a critical component of the tumor immune microenvironment, exist in various malignancies and often correlate with improved immunotherapy response and survival. However, whether TLS can counteract the adverse prognostic effects of BRAF mutations in CRC remains unexplored. This study characterizes TLS features (location, number, maturity) as well as correlation to the BRAF mutation status and clinicopathological characteristics in CRC, and specifically evaluates the potential role of TLS in mitigating the negative prognostic impact of BRAF mutations.
Single-cell RNA sequencing data from GSE146771, GSE146771, GSE200997, GSE205506, and GSE231559, along with bulk RNA-seq data from the TCGA CRC cohort, were analyzed. Prognostic genes were identified using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression, and subsequently used to construct TLS-related prognostic signatures. Kaplan-Meier survival analysis and receiver operating characteristic (ROC) curve analysis were used to evaluate the predictive performance of the signature. Immune infiltration was assessed using the ESTIMATE and CIBERSORT algorithms. Histopathological evaluation of TLS was conducted in tissue sections from 200 CRC patients. Clinicopathological features were compared between the BRAF wild-type (BRAF WT ) and BRAF mutant (BRAF MT ) groups. Associations between BRAF mutation status and TLS location, number, maturity, as well as overall survival (OS), were analyzed.
TLS displayed distinct expression patterns within the CRC tumor microenvironment. A 10-gene prognostic model was developed based on LASSO regression analysis. Patients with BRAF MT CRC exhibited unfavorable clinicopathological characteristics, including poor differentiation, advanced T stage, and lymph node metastasis. Meanwhile, BRAF WT CRC was associated with a greater number and higher maturity of TLS. Notably, patients with BRAF WT , TLS-high (TLS High) , and BRAF WT -TLS High subgroups showed significantly improved OS compared to other groups.
TLS-related prognostic signatures serve as effective tools for predicting CRC outcomes. Moreover, intratumorally TLS may enhance the prognosis of patients with BRAF MT CRC, highlighting its potential as a therapeutic and prognostic biomarker. Colorectal cancer, BRAF mutation, tertiary lymphoid structures, tumor microenvironment, prognosis.
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