Radiotherapy and immunotherapy converge on elimination of tumor-promoting erythroid progenitor cells through adaptive immunity is a research paper published in Science Translational Medicine (2021). On theSindex it has a DataRank of 0. It has been cited 95 times.
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National Institutes of Health
Grant: CA195075
National Institutes of Health
Grant: CA134563
National Natural Science Foundation of China
Grant: 82073176
University of Chicago Cancer Center Support Grant
Grant: P30CA014599
Clinical Therapeutics Training Grant
Grant: T32GM007019
NCI NIH HHS
Grant: R01 CA134563
NCI NIH HHS
Grant: R21 CA195075
Mr. & Mrs. Vincent Foglia
Ludwig Institute for Cancer Research
Young Talent Program of Xi’an Jiaotong University
The Chicago Tumor Institute
MeSH Terms
Additional file 2 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 2 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 3 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 3 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 4 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 4 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 5 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 5 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 6 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 6 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 7 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 7 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 9 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 9 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 8 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 1 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 8 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia
Additional file 1 of Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia