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The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution

机译:人类肿瘤阿特拉斯网络:在单细胞分辨率下横跨空间和时间的曲线过渡

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摘要

Crucial transitions in cancer-including tumor initiation, local expansion, metastasis, and therapeutic resistance-involve complex interactions between cells within the dynamic tumor ecosystem. Transformative single-cell genomics technologies and spatial multiplex in situ methods now provide an opportunity to interrogate this complexity at unprecedented resolution. The Human Tumor Atlas Network (HTAN), part of the National Cancer Institute (NCI) Cancer Moonshot Initiative, will establish a clinical, experimental, computational, and organizational framework to generate informative and accessible three-dimensional atlases of cancer transitions for a diverse set of tumor types. This effort complements both ongoing efforts to map healthy organs and previous large-scale cancer genomics approaches focused on bulk sequencing at a single point in time. Generating single-cell, multiparametric, longitudinal atlases and integrating them with clinical outcomes should help identify novel predictive biomarkers and features as well as therapeutically relevant cell types, cell states, and cellular interactions across transitions. The resulting tumor atlases should have a profound impact on our understanding of cancer biology and have the potential to improve cancer detection, prevention, and therapeutic discovery for better precision-medicine treatments of cancer patients and those at risk for cancer.
机译:癌症的关键转变 - 包括肿瘤起始,局部膨胀,转移和治疗性 - 涉及动态肿瘤生态系统内细胞之间的复杂相互作用。转型性单细胞基因组学技术和空间多路复用现场方法现在提供了在前所未有的解决方案中询问这种复杂性的机会。人类肿瘤阿特拉斯网络(HTAN),部分国家癌症研究所(NCI)癌症Moonshot倡议,将建立一个临床,实验,计算和组织框架,以产生多种套装的癌症过渡的信息和可访问的三维立体。肿瘤类型。这项努力补充了持续努力来展示健康的器官和以前的大规模癌症基因组学,在单一的时间点上专注于批量排序。通过临床结果产生单细胞,多体形,纵向地图集并将它们集成,应有助于识别新的预测生物标志物和特征以及治疗相关的细胞类型,细胞状态和过渡的细胞相互作用。由此产生的肿瘤的地图集应对我们对癌症生物学的理解产生深远的影响,并且有可能改善癌症患者的更好的精密药物治疗和癌症风险的癌症检测,预防和治疗发现。

著录项

  • 来源
    《Cell》 |2020年第2期|共14页
  • 作者单位

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    NCI Div Canc Biol NIH Rockville MD 20850 USA;

    Mem Sloan Kettering Canc Ctr Sloan Kettering Inst Computat &

    Syst Biol Program New York NY 10065 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Dana Farber Canc Inst Dept Data Sci Boston MA 02215 USA;

    Vanderbilt Univ Med Ctr Dept Med Nashville TN 37232 USA;

    Oregon Hlth &

    Sci Univ Dept Mol &

    Med Genet Sch Med Portland OR 97239 USA;

    Washington Univ McDonnell Genome Inst Dept Med St Louis MO 63108 USA;

    Stanford Sch Med Dept Genet Stanford CA 94305 USA;

    Stanford Univ Dept Med Div Oncol Sch Med Stanford CA 94305 USA;

    Oregon Hlth &

    Sci Univ Computat Biol Program Portland OR 97201 USA;

    NCI Canc Prevent Div NIH Rockville MD 20850 USA;

    Oregon Hlth &

    Sci Univ Ctr Spatial Syst Biomed Dept Biomed Engn Portland OR 97201 USA;

    Sage Bionetworks Seattle WA 98121 USA;

    NCI Ctr Strateg Sci Initiat NIH Bethesda MD 20892 USA;

    NCI Div Canc Biol NIH Rockville MD 20850 USA;

    Duke Univ Sch Med Dept Surg Durham NC 27710 USA;

    Mem Sloan Kettering Canc Ctr Human Oncol &

    Pathogenesis Program David M Rubenstein Ctr Pancreat Canc Res New York NY 10065 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Dana Farber Canc Inst Dept Med Oncol 450 Brookline Ave Boston MA 02215 USA;

    Vanderbilt Univ Med Ctr Dept Med Nashville TN 37232 USA;

    NCI Div Canc Treatment &

    Diag NIH Rockville MD 20850 USA;

    Boston Univ Sch Med Dept Med Div Computat Biomed Boston MA 02118 USA;

    Mem Sloan Kettering Canc Ctr Sloan Kettering Inst Computat &

    Syst Biol Program New York NY 10065 USA;

    Harvard Med Sch Ludwig Ctr Canc Res &

    Lab Syst Pharmacol Dept Syst Biol Boston MA 02115 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Broad Inst MIT &

    Harvard Cambridge MA 02142 USA;

    Stanford Sch Med Dept Genet Stanford CA 94305 USA;

    Harvard Med Sch Ludwig Ctr Canc Res &

    Lab Syst Pharmacol Dept Syst Biol Boston MA 02115 USA;

    Boston Univ Sch Med Dept Med Div Computat Biomed Boston MA 02118 USA;

    NCI Canc Prevent Div NIH Rockville MD 20850 USA;

    Childrens Hosp Philadelphia Div Oncol 4004 CTRB 3501 Civ Ctr Blvd Philadelphia PA 19104 USA;

    Stanford Sch Med Dept Pathol Stanford CA 94305 USA;

    Dana Farber Canc Inst Dept Data Sci Boston MA 02215 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 细胞生物学;
  • 关键词

  • 入库时间 2022-08-19 23:27:42

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