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:Immune effector dysfunction signatures predict outcomes in patients with colorectal cancer.
Immune effector dysfunction signatures predict outcomes in patients with colorectal cancer.
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CCR9、ISG20、ICOS 和 CACNA2D2 是预测 CRC 患者结局的最佳 IED 特征,这可能成为预后分层和设计新型 CRC 疗法的潜在生物标志物。
免疫效应功能障碍(IED)主要表现为免疫耗竭和衰老,是癌症免疫治疗成功的主要障碍。在当前研究中,我们描述了IED特征在结直肠癌(CRC)患者中的预后相关性。
免疫组化(IHC)数据来自我们临床中心41例新诊断患者的CRC组织样本(HDPH队列),用于研究IED特征的预后重要性。结果通过癌症基因组图谱(TCGA)数据库中372例CRC患者的RNA测序数据进行了验证。
在HDPH队列中,高水平的Natural Killer (NK)细胞和CD8+TIL(肿瘤浸润淋巴细胞)(TILs)与CRC患者较差的总生存期(OS)和无复发生存期(RFS)相关。最优IED特征,包括CCR9、ISG20高表达以及ICOS、CACNA2D2低表达,预测较差的OS和RFS。此外,由这四个IED基因加权组合估计的高风险评分与较差的OS和RFS相关。值得注意的是,结合风险评分和肿瘤淋巴结转移(TNM)分期构建的风险分层在预测CRC患者的OS和RFS方面优于单独使用TNM分期。上述结果在TCGA队列中得到证实。
Immune effector dysfunction (IED) is mainly manifested as immune exhaustion and senescence, which are the primary obstacles to the success of cancer immunotherapy. In the current study, we characterized the prognostic relevance of IED signatures in patients with colorectal cancer (CRC).
Immunohistochemistry (IHC) data of CRC tissue samples from 41 newly diagnosed patients in our clinical center (HDPH cohort) were used to investigate the prognostic importance of IED signatures. The results were validated by the RNA sequencing data of 372 CRC patients from the Cancer Genome Atlas (TCGA) database.
In the HDPH cohorts, high Natural Killer (NK) and CD8 + tumor-infiltrating lymphocytes (TILs) were associated with poor overall survival (OS) and relapse-free survival (RFS) in CRC patients. Optimal IED signatures, including high expression of CCR9, ISG20, and low expression of ICOS, and CACNA2D2, predicted poor OS and RFS. Moreover, high-risk scores estimated by a weighted combination of these four IED genes were associated with poor OS and RFS. Notably, risk stratification was constructed by combining risk score and tumor node metastasis (TNM) stage better than TNM stage alone in predicting OS and RFS for CRC patients. The above results were confirmed in the TCGA cohort.
CCR9, ISG20, ICOS, and CACNA2D2 were optimal IED signatures for predicting the outcomes of CRC patients, which might be a potential biomarker for prognostic stratification and designing novel CRC therapy.
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