TY - JOUR
T1 - Characteristics of white blood cell count in acute lymphoblastic leukemia
T2 - A COST LEGEND phenotype–genotype study
AU - Helenius, Marianne
AU - Vaitkeviciene, Goda
AU - Abrahamsson, Jonas
AU - Jonsson, Ólafur Gisli
AU - Lund, Bendik
AU - Harila-Saari, Arja
AU - Vettenranta, Kim
AU - Mikkel, Sirje
AU - Stanulla, Martin
AU - Lopez-Lopez, Elixabet
AU - Waanders, Esmé
AU - Madsen, Hans O.
AU - Marquart, Hanne Vibeke
AU - Modvig, Signe
AU - Gupta, Ramneek
AU - Schmiegelow, Kjeld
AU - Nielsen, Rikke Linnemann
N1 - © 2022 The Authors. Pediatric Blood & Cancer published by Wiley Periodicals LLC.
PY - 2022/6
Y1 - 2022/6
N2 - Background: White blood cell count (WBC) as a measure of extramedullary leukemic cell survival is a well-known prognostic factor in acute lymphoblastic leukemia (ALL), but its biology, including impact of host genome variants, is poorly understood. Methods: We included patients treated with the Nordic Society of Paediatric Haematology and Oncology (NOPHO) ALL-2008 protocol (N = 2347, 72% were genotyped by Illumina Omni2.5exome-8-Bead chip) aged 1–45 years, diagnosed with B-cell precursor (BCP-) or T-cell ALL (T-ALL) to investigate the variation in WBC. Spline functions of WBC were fitted correcting for association with age across ALL subgroups of immunophenotypes and karyotypes. The residuals between spline WBC and actual WBC were used to identify WBC-associated germline genetic variants in a genome-wide association study (GWAS) while adjusting for age and ALL subtype associations. Results: We observed an overall inverse correlation between age and WBC, which was stronger for the selected patient subgroups of immunophenotype and karyotypes (ρBCP-ALL= −.17, ρT-ALL= −.19; p < 3 × 10−4). Spline functions fitted to age, immunophenotype, and karyotype explained WBC variation better than age alone (ρ =.43, p << 2 × 10−6). However, when the spline-adjusted WBC residuals were used as phenotype, no GWAS significant associations were found. Based on available annotation, the top 50 genetic variants suggested effects on signal transduction, translation initiation, cell development, and proliferation. Conclusion: These results indicate that host genome variants do not strongly influence WBC across ALL subsets, and future studies of why some patients are more prone to hyperleukocytosis should be performed within specific ALL subsets that apply more complex analyses to capture potential germline variant interactions and impact on WBC.
AB - Background: White blood cell count (WBC) as a measure of extramedullary leukemic cell survival is a well-known prognostic factor in acute lymphoblastic leukemia (ALL), but its biology, including impact of host genome variants, is poorly understood. Methods: We included patients treated with the Nordic Society of Paediatric Haematology and Oncology (NOPHO) ALL-2008 protocol (N = 2347, 72% were genotyped by Illumina Omni2.5exome-8-Bead chip) aged 1–45 years, diagnosed with B-cell precursor (BCP-) or T-cell ALL (T-ALL) to investigate the variation in WBC. Spline functions of WBC were fitted correcting for association with age across ALL subgroups of immunophenotypes and karyotypes. The residuals between spline WBC and actual WBC were used to identify WBC-associated germline genetic variants in a genome-wide association study (GWAS) while adjusting for age and ALL subtype associations. Results: We observed an overall inverse correlation between age and WBC, which was stronger for the selected patient subgroups of immunophenotype and karyotypes (ρBCP-ALL= −.17, ρT-ALL= −.19; p < 3 × 10−4). Spline functions fitted to age, immunophenotype, and karyotype explained WBC variation better than age alone (ρ =.43, p << 2 × 10−6). However, when the spline-adjusted WBC residuals were used as phenotype, no GWAS significant associations were found. Based on available annotation, the top 50 genetic variants suggested effects on signal transduction, translation initiation, cell development, and proliferation. Conclusion: These results indicate that host genome variants do not strongly influence WBC across ALL subsets, and future studies of why some patients are more prone to hyperleukocytosis should be performed within specific ALL subsets that apply more complex analyses to capture potential germline variant interactions and impact on WBC.
KW - acute lymphoblastic leukemia (ALL)
KW - genome-wide association studies (GWAS)
KW - genotype
KW - spline functions
KW - white blood cell count (WBC)
KW - Genome-Wide Association Study
KW - Prognosis
KW - Humans
KW - Genotype
KW - Phenotype
KW - Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics
KW - Precursor T-Cell Lymphoblastic Leukemia-Lymphoma
KW - Leukocyte Count
UR - http://www.scopus.com/inward/record.url?scp=85127362443&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/2b94f22a-b1e8-3bf6-a2b5-ca46ef46fca7/
U2 - 10.1002/pbc.29582
DO - 10.1002/pbc.29582
M3 - Article
C2 - 35316565
AN - SCOPUS:85127362443
SN - 1545-5009
VL - 69
SP - e29582
JO - Pediatric Blood and Cancer
JF - Pediatric Blood and Cancer
IS - 6
M1 - e29582
ER -