PURPOSE: A propensity for hematogenous spread with resulting contamination of autologous cell products complicates cellular therapies for Ewing's sarcoma. We used a new approach to purge artificially contaminated cellular specimens of Ewing's sarcoma and show the capacity for real-time polymerase chain reaction (PCR) to quantify the contamination level of Ewing's sarcoma in such specimens. PATIENTS AND METHODS: Binding of monoclonal antibody (MoAb) 8H9 to Ewing's sarcoma cell lines and normal hematopoietic cells was studied using flow cytometry. Using real-time PCR--based amplification of t(11;22), levels of Ewing's contamination of experimental and clinical cellular products were monitored. Purging was accomplished using immunomagnetic-based depletion. Monitoring of the function of residual hematopoietic progenitors and T cells was performed using functional assays. RESULTS: MoAb 8H9 shows binding to Ewing's sarcoma but spares normal hematopoietic tissues. Nested real-time PCR is capable of detecting contaminating Ewing's sarcoma cells with a sensitivity of one cell in 10(6) normal cells. After 8H9-based purging, a 2- to 3-log reduction in contaminating Ewing's sarcoma was shown by real-time PCR, with purging to PCR negativity at levels of contamination of 1:10(6). Levels of contamination in clinical samples ranged from 1:10(5) to 10(6). Therefore, 8H9-based purging of clinical samples is predicted to reduce tumor cell contamination to a level below the limit of detection of PCR. CONCLUSION: These results demonstrate a new approach for purging contaminated cellular products of Ewing's sarcoma and demonstrate the capacity of real-time PCR to provide accurate quantitative estimates of circulating tumor burden in this disease.
PURPOSE: A propensity for hematogenous spread with resulting contamination of autologous cell products complicates cellular therapies for Ewing's sarcoma. We used a new approach to purge artificially contaminated cellular specimens of Ewing's sarcoma and show the capacity for real-time polymerase chain reaction (PCR) to quantify the contamination level of Ewing's sarcoma in such specimens. PATIENTS AND METHODS: Binding of monoclonal antibody (MoAb) 8H9 to Ewing's sarcoma cell lines and normal hematopoietic cells was studied using flow cytometry. Using real-time PCR--based amplification of t(11;22), levels of Ewing's contamination of experimental and clinical cellular products were monitored. Purging was accomplished using immunomagnetic-based depletion. Monitoring of the function of residual hematopoietic progenitors and T cells was performed using functional assays. RESULTS: MoAb 8H9 shows binding to Ewing's sarcoma but spares normal hematopoietic tissues. Nested real-time PCR is capable of detecting contaminating Ewing's sarcoma cells with a sensitivity of one cell in 10(6) normal cells. After 8H9-based purging, a 2- to 3-log reduction in contaminating Ewing's sarcoma was shown by real-time PCR, with purging to PCR negativity at levels of contamination of 1:10(6). Levels of contamination in clinical samples ranged from 1:10(5) to 10(6). Therefore, 8H9-based purging of clinical samples is predicted to reduce tumor cell contamination to a level below the limit of detection of PCR. CONCLUSION: These results demonstrate a new approach for purging contaminated cellular products of Ewing's sarcoma and demonstrate the capacity of real-time PCR to provide accurate quantitative estimates of circulating tumor burden in this disease.
Authors: Crystal L Mackall; Eunice H Rhee; Elizabeth J Read; Hanh M Khuu; Susan F Leitman; Donna Bernstein; Merertu Tesso; Lauren M Long; David Grindler; Margret Merino; William Kopp; Maria Tsokos; Jay A Berzofsky; Lee J Helman Journal: Clin Cancer Res Date: 2008-08-01 Impact factor: 12.531
Authors: Andrej Lissat; Thomas Vraetz; Maria Tsokos; Ruth Klein; Matthias Braun; Nino Koutelia; Paul Fisch; Maria E Romero; Lauren Long; Peter Noellke; Crystal L Mackall; Charlotte M Niemeyer; Udo Kontny Journal: Am J Pathol Date: 2007-06 Impact factor: 4.307
Authors: Melinda S Merchant; Donna Bernstein; Martha Amoako; Kristin Baird; Thomas A Fleisher; Michel Morre; Seth M Steinberg; Marianna Sabatino; Dave F Stroncek; Aradhana M Venkatasan; Bradford J Wood; Matthew Wright; Hua Zhang; Crystal L Mackall Journal: Clin Cancer Res Date: 2016-01-28 Impact factor: 12.531