BACKGROUND: Pathogenesis of the non-random accumulation of extra chromosomes in the low and high hyperdiploid (HeL, HeH) pre-B pediatric acute lymphoblastic leukemia (B-pALL) is largely unknown, and has been clarified with respect only to tetrasomic chromosomes. We analyzed the hierarchy of changes in chromosome number and chromosomal instability, as well as clonal heterogeneity and evolution, in the untreated bone marrow cell samples from 214 B-pALL patients. PROCEDURE: Applying relocation, 2 × 4 color interphase fluorescence in situ hybridization was used to detect copy number alterations (CNAs) of the most commonly involved chromosomes, 4, 6, 10, 14, 17, 18, 21, and X. This approach allowed us to acquire a dataset correlated for all eight parameters. RESULTS: Based on chromosome number, an average of 6.9 and 10.2, whereas according to unique constellation 15.3 and 26.7 subclones could be identified in the HeL and HeH subgroups, respectively. Cluster analysis revealed the order of CNAs to chromosomes was highly conserved, and network analysis indicated changes in chromosome number were sequential for 80-90% of all numerical aberrations. Significant chromosome instability was revealed in both subgroups of leukemia. CONCLUSIONS: Data generated using this new approach indicate that chromosomal instability, which causes heterogeneity in the subclonal landscape, and the sequential changes to chromosome numbers, are both determining factors in the pathomechanism of the hyperdiploid B-pALL. These new observations could prompt research into the mitotic machinery of leukemic cells to identify new therapeutic targets for treating this disease.
BACKGROUND: Pathogenesis of the non-random accumulation of extra chromosomes in the low and high hyperdiploid (HeL, HeH) pre-B pediatric acute lymphoblastic leukemia (B-pALL) is largely unknown, and has been clarified with respect only to tetrasomic chromosomes. We analyzed the hierarchy of changes in chromosome number and chromosomal instability, as well as clonal heterogeneity and evolution, in the untreated bone marrow cell samples from 214 B-pALL patients. PROCEDURE: Applying relocation, 2 × 4 color interphase fluorescence in situ hybridization was used to detect copy number alterations (CNAs) of the most commonly involved chromosomes, 4, 6, 10, 14, 17, 18, 21, and X. This approach allowed us to acquire a dataset correlated for all eight parameters. RESULTS: Based on chromosome number, an average of 6.9 and 10.2, whereas according to unique constellation 15.3 and 26.7 subclones could be identified in the HeL and HeH subgroups, respectively. Cluster analysis revealed the order of CNAs to chromosomes was highly conserved, and network analysis indicated changes in chromosome number were sequential for 80-90% of all numerical aberrations. Significant chromosome instability was revealed in both subgroups of leukemia. CONCLUSIONS: Data generated using this new approach indicate that chromosomal instability, which causes heterogeneity in the subclonal landscape, and the sequential changes to chromosome numbers, are both determining factors in the pathomechanism of the hyperdiploid B-pALL. These new observations could prompt research into the mitotic machinery of leukemic cells to identify new therapeutic targets for treating this disease.
Authors: Samuel W Brady; Kathryn G Roberts; Zhaohui Gu; Lei Shi; Stanley Pounds; Deqing Pei; Cheng Cheng; Yunfeng Dai; Meenakshi Devidas; Chunxu Qu; Ashley N Hill; Debbie Payne-Turner; Xiaotu Ma; Ilaria Iacobucci; Pradyuamna Baviskar; Lei Wei; Sasi Arunachalam; Kohei Hagiwara; Yanling Liu; Diane A Flasch; Yu Liu; Matthew Parker; Xiaolong Chen; Abdelrahman H Elsayed; Omkar Pathak; Yongjin Li; Yiping Fan; J Robert Michael; Michael Rusch; Mark R Wilkinson; Scott Foy; Dale J Hedges; Scott Newman; Xin Zhou; Jian Wang; Colleen Reilly; Edgar Sioson; Stephen V Rice; Victor Pastor Loyola; Gang Wu; Evadnie Rampersaud; Shalini C Reshmi; Julie Gastier-Foster; Jaime M Guidry Auvil; Patee Gesuwan; Malcolm A Smith; Naomi Winick; Andrew J Carroll; Nyla A Heerema; Richard C Harvey; Cheryl L Willman; Eric Larsen; Elizabeth A Raetz; Michael J Borowitz; Brent L Wood; William L Carroll; Patrick A Zweidler-McKay; Karen R Rabin; Leonard A Mattano; Kelly W Maloney; Stuart S Winter; Michael J Burke; Wanda Salzer; Kimberly P Dunsmore; Anne L Angiolillo; Kristine R Crews; James R Downing; Sima Jeha; Ching-Hon Pui; William E Evans; Jun J Yang; Mary V Relling; Daniela S Gerhard; Mignon L Loh; Stephen P Hunger; Jinghui Zhang; Charles G Mullighan Journal: Nat Genet Date: 2022-09-01 Impact factor: 41.307
Authors: Oscar Molina; Meritxell Vinyoles; Isabel Granada; Heleia Roca-Ho; Francisco Gutierrez-Agüera; Luis Valledor; Carlos M López-López; Pablo Rodríguez-González; Juan L Trincado; Sofía T Menéndez; Deepali Pal; Paola Ballerini; Monique L den Boer; Isabel Plensa; M Mar Perez-Iribarne; Sandra Rodríguez-Perales; María José Calasanz; Manuel Ramírez-Orellana; René Rodríguez; Mireia Camós; Maria Calvo; Clara Bueno; Pablo Menéndez Journal: Blood Date: 2020-07-16 Impact factor: 22.113
Authors: Mireia Ramos-Muntada; Juan L Trincado; Joan Blanco; Clara Bueno; Virginia C Rodríguez-Cortez; Alex Bataller; Belén López-Millán; Claire Schwab; Margarita Ortega; Pablo Velasco; Maria L Blanco; Josep Nomdedeu; Manuel Ramírez-Orellana; Alfredo Minguela; Jose L Fuster; Esther Cuatrecasas; Mireia Camós; Paola Ballerini; Gabriele Escherich; Judith Boer; Monique DenBoer; Jesús M Hernández-Rivas; Maria J Calasanz; Giovanni Cazzaniga; Christine J Harrison; Pablo Menéndez; Oscar Molina Journal: Mol Oncol Date: 2022-07-19 Impact factor: 7.449
Authors: Larissa H Moura-Castro; Pablo Peña-Martínez; Anders Castor; Roman Galeev; Jonas Larsson; Marcus Järås; Minjun Yang; Kajsa Paulsson Journal: Genes Chromosomes Cancer Date: 2021-01-16 Impact factor: 5.006