TY - JOUR
T1 - The Human Tumor Atlas Network
T2 - Charting Tumor Transitions across Space and Time at Single-Cell Resolution
AU - Human Tumor Atlas Network
AU - Rozenblatt-Rosen, Orit
AU - Regev, Aviv
AU - Oberdoerffer, Philipp
AU - Nawy, Tal
AU - Hupalowska, Anna
AU - Rood, Jennifer E.
AU - Ashenberg, Orr
AU - Cerami, Ethan
AU - Coffey, Robert J.
AU - Demir, Emek
AU - Ding, Li
AU - Esplin, Edward D.
AU - Ford, James M.
AU - Goecks, Jeremy
AU - Ghosh, Sharmistha
AU - Gray, Joe W.
AU - Guinney, Justin
AU - Hanlon, Sean E.
AU - Hughes, Shannon K.
AU - Hwang, E. Shelley
AU - Iacobuzio-Donahue, Christine A.
AU - Jané-Valbuena, Judit
AU - Johnson, Bruce E.
AU - Lau, Ken S.
AU - Lively, Tracy
AU - Mazzilli, Sarah A.
AU - Pe'er, Dana
AU - Santagata, Sandro
AU - Shalek, Alex K.
AU - Schapiro, Denis
AU - Snyder, Michael P.
AU - Sorger, Peter K.
AU - Spira, Avrum E.
AU - Srivastava, Sudhir
AU - Tan, Kai
AU - West, Robert B.
AU - Williams, Elizabeth H.
AU - Aberle, Denise
AU - Achilefu, Samuel I.
AU - Ademuyiwa, Foluso O.
AU - Adey, Andrew C.
AU - Aft, Rebecca L.
AU - Agarwal, Rachana
AU - Aguilar, Ruben A.
AU - Alikarami, Fatemeh
AU - Allaj, Viola
AU - Amos, Christopher
AU - Anders, Robert A.
AU - Angelo, Michael R.
AU - Shyr, Yu
N1 - Publisher Copyright:
© 2020
PY - 2020/4/16
Y1 - 2020/4/16
N2 - 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. The Human Tumor Atlas Network outlines their ambitious plan to generate 3D, single-cell, multiparametric, and longitudinal maps of diverse tumor types.
AB - 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. The Human Tumor Atlas Network outlines their ambitious plan to generate 3D, single-cell, multiparametric, and longitudinal maps of diverse tumor types.
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U2 - 10.1016/j.cell.2020.03.053
DO - 10.1016/j.cell.2020.03.053
M3 - Review article
C2 - 32302568
AN - SCOPUS:85083116634
SN - 0092-8674
VL - 181
SP - 236
EP - 249
JO - Cell
JF - Cell
IS - 2
ER -