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

Rozenblatt-Rosen, O; Regev, A; Oberdoerffer, P; Nawy, T; Hupalowska, A; Rood, JE; Ashenberg, O; ... Human Tumor Atlas Network; + view all (2020) The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution. Cell , 181 (2) pp. 236-249. 10.1016/j.cell.2020.03.053. Green open access

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Abstract

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.

Type: Article
Title: The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cell.2020.03.053
Publisher version: https://doi.org/10.1016/j.cell.2020.03.053
Language: English
Additional information: This is an Open Access article published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
Keywords: Cancer Moonshot, Human Tumor Atlas, pre-cancer, tumor, resistance, metastasis, cancer transitions, single-cell genomics, spatial genomics, spatial imaging, data integration, AI, data visualization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10096494
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