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作 者:赵汉卿 罗婧婷 李洋 魏文斌 Zhao Hanqing;Luo Jingting;Li Yang;Wei Wenbin(Beijing Tongren Eye Center,Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment,Beijing Ophthalmology&Visual Sciences Key Lab,Beijing Tongren Hospital,Capital Medical University,Beijing 100730,China)
机构地区:[1]首都医科大学附属北京同仁医院,北京同仁眼科中心,眼内肿瘤诊治研究北京市重点实验室,北京市眼科学与视觉科学重点实验室,医学人工智能研究与验证工信部重点实验室,北京100730
出 处:《中华眼底病杂志》2022年第3期248-252,共5页Chinese Journal of Ocular Fundus Diseases
基 金:国家自然科学基金(82101180);首都卫生发展科研专项(2020-1-2052);北京市自然科学基金(7204245);北京市教育委员会科技发展计划一般项目(KM202010025018);北京市科委科技计划项目(Z201100005520045、Z181100001818003);北京市医院管理中心"青苗"计划专项经费(QML20190202);北京市东城区优秀人才培养计划(2018)。
摘 要:葡萄膜黑色素瘤(UM)是眼内侵袭性强且致命的肿瘤。由于UM及其微环境的复杂性和异质性,导致缺乏早期预防和治疗转移的策略。单细胞测序技术通过在单个细胞层面进行基因组学、转录组学、表观遗传学的分析,为破译肿瘤内异质性和微环境的复杂性提供了关键的视角。通过生物信息分析,并结合人工智能算法,有助于寻找预后相关的分子指标和治疗靶点,为指导临床治疗方案的选择提供依据。但单细胞测序技术也存在一定的局限性,如对样本要求高、测序花费昂贵和耗时长等。相信随着科学技术的完善和分析方法的更新,这些缺点可被逐步解决,未来终将攻克这一罕见肿瘤,实现UM患者长期生存的目标。Uveal melanoma(UM)is an aggressive and lethal tumor in the eye.The complexity and heterogeneity of UM and its microenvironment leads to a lack of strategies for early prevention and treatment of metastases.Single-cell sequencing technologies provide critical insights into deciphering the complexity of intratumor heterogeneity and the microenvironment by enabling genomic,transcriptomic,and epigenetic analysis at the single-cell level.With the help of bioinformatics analysis combined with artificial intelligence algorithms,molecular indicator systems related to prognosis as well as therapeutic targets can be found,which can provide a basis for guiding the selection of clinical treatment plans.However,the single-cell sequencing technology also has certain limitations,such as high sample requirements,expensive and time-consuming sequencing.It is believed that with the improvement of science and technology and the update of analytical methods,these shortcomings can be gradually solved,and this rare tumor will eventually be overcome in the future,and the goal of long-term survival of UM patients will be achieved.
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