BACKGROUND AND OBJECTIVES: Despite the great utility of chimerism analysis after allogeneic stem cell transplantation, a gold standard method for its quantification has not yet been defined. The objective of the present investigation was to compare the sensitivity (detection limit) and the quantification accuracy of fluorescent in situ hybridization with specific probes for the sex chromosomes (XY-FISH) and multiplex short tandem repeat polymerase chain reaction (STR-PCR) revealed by capillary electrophoresis for the quantification of chimerism after stem cell transplantation. DESIGN AND METHODS: A first experiment was performed on two sets of artificial cell mixtures from two sex-mismatched healthy donors mixed in different proportions (% male: 100, 75, 50, 25, 10, 5, 3, 1, 0.1, 0). In a second experiment, 58 samples obtained from 10 selected patients with different clinical courses and chimerism evolution after sex-mismatched stem cell transplantation, which had been studied by XY-FISH, were retrospectively analyzed by STR-PCR. In a third experiment, 60 unselected prospective samples belonging to 15 patients (5 of whom had also been included in the retrospective study) were analyzed by both XY-FISH and STR-PCR. RESULTS: Both techniques showed high quantification accuracy and were highly reproducible. The sensitivity of both approaches reached 1% under standard conditions. Moreover, the use of long injection times for the capillary electrophoresis (30 and 50s vs. the standard 10s) resulted in an increase of sensitivity of the STR-PCR assay up to 0.1%, which has interesting clinical implications. INTERPRETATION AND CONCLUSIONS: Considering the high sensitivity and quantification accuracy of multiplex STR-PCR and the fact that this assay is sex-independent and can be applied to virtually all patients, STR-PCR could be considered as the method of choice for chimerism quantification after stem cell transplantation when high sensitivity is not a requirement.
BACKGROUND AND OBJECTIVES: Despite the great utility of chimerism analysis after allogeneic stem cell transplantation, a gold standard method for its quantification has not yet been defined. The objective of the present investigation was to compare the sensitivity (detection limit) and the quantification accuracy of fluorescent in situ hybridization with specific probes for the sex chromosomes (XY-FISH) and multiplex short tandem repeat polymerase chain reaction (STR-PCR) revealed by capillary electrophoresis for the quantification of chimerism after stem cell transplantation. DESIGN AND METHODS: A first experiment was performed on two sets of artificial cell mixtures from two sex-mismatched healthy donors mixed in different proportions (% male: 100, 75, 50, 25, 10, 5, 3, 1, 0.1, 0). In a second experiment, 58 samples obtained from 10 selected patients with different clinical courses and chimerism evolution after sex-mismatched stem cell transplantation, which had been studied by XY-FISH, were retrospectively analyzed by STR-PCR. In a third experiment, 60 unselected prospective samples belonging to 15 patients (5 of whom had also been included in the retrospective study) were analyzed by both XY-FISH and STR-PCR. RESULTS: Both techniques showed high quantification accuracy and were highly reproducible. The sensitivity of both approaches reached 1% under standard conditions. Moreover, the use of long injection times for the capillary electrophoresis (30 and 50s vs. the standard 10s) resulted in an increase of sensitivity of the STR-PCR assay up to 0.1%, which has interesting clinical implications. INTERPRETATION AND CONCLUSIONS: Considering the high sensitivity and quantification accuracy of multiplex STR-PCR and the fact that this assay is sex-independent and can be applied to virtually all patients, STR-PCR could be considered as the method of choice for chimerism quantification after stem cell transplantation when high sensitivity is not a requirement.
Authors: M Kwon; G Bautista; P Balsalobre; I Sánchez-Ortega; P Montesinos; A Bermúdez; A de Laiglesia; P Herrera; C Martin; K Humala; A Zabalza; M Torres; L Bento; L L Corral; I Heras; D Serrano; I Buño; J Anguita; C Regidor; R Duarte; R Cabrera; J Gayoso; J L Diez-Martin Journal: Bone Marrow Transplant Date: 2017-03-27 Impact factor: 5.483
Authors: Jaime Sanz; Mi Kwon; Guiomar Bautista; Miguel A Sanz; Pascual Balsalobre; José Luis Piñana; Carlos Solano; Rafael Duarte; Christelle Ferrá; Ignacio Lorenzo; Carmen Martín; Pere Barba; María Jesús Pascual; Rodrigo Martino; Jorge Gayoso; Ismael Buño; Carmen Regidor; Almudena de la Iglesia; Juan Montoro; José Luis Díez-Martín; Guillermo F Sanz; Rafael Cabrera Journal: Blood Adv Date: 2017-06-20
Authors: J Gayoso; P Balsalobre; M J Pascual; C Castilla-Llorente; L López-Corral; M Kwon; D Serrano; J L Piñana; P Herrera; C Ferrá; C Pascual; I Heras; P Montesinos; A Zabalza; L Bento; A Figuera; I Buño; J L Díez-Martín Journal: Bone Marrow Transplant Date: 2016-05-09 Impact factor: 5.483
Authors: M Kwon; C Martínez-Laperche; P Balsalobre; D Serrano; J Anguita; J Gayoso; J L Díez-Martín; I Buño Journal: Bone Marrow Transplant Date: 2013-11-11 Impact factor: 5.483
Authors: Rebeca Bailén; Mi Kwon; María Jesús Pascual-Cascón; Christelle Ferrà; Jaime Sanz; Anabel Gallardo-Morillo; Abel García-Sola; Anna Torrent; María José Jiménez-Lorenzo; José Luis Piñana; Juan Montoro; Gillen Oarbeascoa; Nieves Dorado; Ignacio Gómez-Centurión; Cristina Muñoz; Carolina Martínez-Laperche; Javier Anguita; Ismael Buño; José Luis Díez-Martín Journal: Ann Hematol Date: 2020-11-02 Impact factor: 3.673
Authors: Jörn Erlecke; Isabell Hartmann; Martin Hoffmann; Torsten Kroll; Heike Starke; Anita Heller; Alexander Gloria; Herbert G Sayer; Tilman Johannes; Uwe Claussen; Thomas Liehr; Ivan F Loncarevic Journal: Mol Cytogenet Date: 2009-05-29 Impact factor: 2.009
Authors: Rebeca Bailén; José Luis Vicario; Laura Solán; Irene Sánchez-Vadillo; Pilar Herrera; María Calbacho; Raquel Alenda; José Luis López-Lorenzo; Karem Humala; Anabelle Chinea; José Sánchez-Pina; Antonio Balas; Miguel Ángel Moreno; Javier Arzuaga; Virginia Pradillo; Nieves Dorado; Gillen Oarbeascoa; Javier Anguita; José Luis Díez-Martín; Mi Kwon Journal: Front Immunol Date: 2021-05-19 Impact factor: 7.561