Combining PSMA-PET metrics and circulating tumor cell RNA sequencing to predict LuPSMA response.
Kendra D. Marr(University of Arizona), Joshua M. Lang(University of Wisconsin–Madison), Alex H. Chang(University of Wisconsin Carbone Cancer Center), Xiao X. Wei(Dana-Farber Cancer Institute), Marina N. Sharifi(University of Wisconsin–Madison), Jamie M. Sperger(University of Wisconsin–Madison), Grace C. Blitzer(University of Wisconsin–Madison), Amy K. Taylor(University of Wisconsin–Madison), Matthew L. Bootsma(University of Wisconsin–Madison), Shuang G. Zhao(University of Wisconsin Carbone Cancer Center), David Kosoff(University of Wisconsin–Madison), John M. Floberg(University of Wisconsin–Madison), Emily Abella(University of Wisconsin Carbone Cancer Center), Charlotte Linebarger(University of Wisconsin–Madison), Rana R. McKay(University of California San Diego Medical Center), Viridiana Carreno(University of Wisconsin Carbone Cancer Center), Muhammad Mawiya Dar(University of Wisconsin Carbone Cancer Center), David Gallo(University of Wisconsin Carbone Cancer Center), Kaitlin Clarice Durnen(University of Wisconsin Carbone Cancer Center), Kyle T. Helzer(University of Wisconsin–Madison)
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