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:The Current Status of T Cell Receptor (TCR) Repertoire Analysis in Colorectal Cancer.
The Current Status of T Cell Receptor (TCR) Repertoire Analysis in Colorectal Cancer.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
近期结直肠癌(CRC)病例的快速增加凸显了使用预测性生物标志物指导治疗方法的必要性。当前研究集中于肿瘤微环境(TME)中存在的TIL(肿瘤浸润淋巴细胞),其中细胞毒性T细胞活化及其数量与CRC患者预后相关。T细胞受体(TCR)对抗原识别和T细胞鉴定至关重要,在癌症免疫治疗中发挥核心作用。T细胞状态反映TCR多样性或克隆性,即TCR repertoire。
因此,分析TCR repertoire动态可能有助于及时预测TME的免疫状况。在本综述中,我们总结了TCR repertoire相关知识,包括其作为CRC预测性生物标志物的潜在用途。与健康个体相比,CRC患者肿瘤内TCR repertoire受限,外周血中亦然。错配修复缺陷患者比错配修复正常患者表现出更多限制。
重要的是,治疗前较高的TCR多样性和治疗后降低可能表明CRC患者反应良好和临床结局更佳。未来使用TCR repertoire测序技术结合基于人工智能的分析是CRC治疗决策的潜在策略。
The rapid increase in colorectal cancer (CRC) cases recently has highlighted the need to use predictive biomarkers to guide therapeutic approaches. Current studies have focused on the tumor-infiltrating lymphocytes present in the tumor microenvironment (TME), in which cytotoxic T cell activation and the amount are associated with CRC patient prognosis. The T cell receptor (TCR) is essential for antigen recognition and T cell identification, playing a central role in cancer immunotherapy. The T cell status reflects TCR diversity or clonality, known as the TCR repertoire.
Accordingly, analyzing the TCR repertoire dynamics may help predict the immunological circumstances of the TME in a timely way. In this review, we summarize the TCR repertoire-related knowledge, including its potential use as predictive biomarkers in CRC. The intratumoral TCR repertoire is restricted in CRC patients compared with healthy individuals, as well as in peripheral blood. Patients with deficient mismatch repair display more restriction than those with proficient mismatch repair.
Importantly, a higher TCR diversity before treatment and a decrease following treatment may indicate a good response and a better clinical outcome in CRC patients. The future use of TCR repertoire sequencing technology combined with artificial intelligence-based analysis is a potential strategy for CRC therapeutic decision making.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。