TY - JOUR
T1 - Further Personalizing Medicine in Immune Disorders
T2 - Genomic Findings and Hematopoietic Cell Transplantation Survival
AU - Similuk, Morgan N.
AU - Bannon, Sarah A.
AU - Yan, Jia
AU - Ghosh, Rajarshi
AU - Damskey, Ekaterina E.
AU - Beers, Breanna J.
AU - Orellana, Halyn
AU - Byers, Sophie
AU - Srinivasan, Sruthi
AU - Kamen, Michael J.
AU - Jodarski, Colleen
AU - Moses, Rachel G.
AU - Reynolds-Lallement, Nadjalisse C.
AU - Lewis, Katie L.
AU - Seifert, Bryce A.
AU - Tokita, Mari J.
AU - Lack, Justin B.
AU - Cao, Wenjia
AU - Sissung, Tristan M.
AU - Figg, William D.
AU - Dimitrova, Dimana
AU - Kanakry, Jennifer A.
AU - Hickstein, Dennis D.
AU - Shah, Nirali N.
AU - Gonzalez, Corina E.
AU - Hughes, Thomas E.
AU - Zerbe, Christa S.
AU - Su, Helen C.
AU - Freeman, Alexandra F.
AU - Uzel, Gulbu
AU - De Ravin, Suk See
AU - Kang, Elizabeth M.
AU - Malech, Harry L.
AU - Rao, V. Koneti
AU - Lisco, Andrea
AU - Fuss, Ivan J.
AU - Cohen, Jeffrey I.
AU - Durkee-Shock, Jessica R.
AU - Delmonte, Ottavia M.
AU - Bergerson, Jenna R.E.
AU - Johnston, Jennifer J.
AU - Biesecker, Leslie G.
AU - Kuijpers, Taco W.
AU - Notarangelo, Luigi D.
AU - Holland, Steven M.
AU - Walkiewicz, Magdalena A.
N1 - Publisher Copyright:
© 2025 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2026
Y1 - 2026
N2 - Background. – Hematopoietic cell transplantation (HCT) provides effective long-term management for some inborn errors of immunity. Genetic findings can inform donor selection, considerations in conditioning intensity and agents, and graft-versus-host disease prophylaxis. Exome/genome sequencing is increasingly accessible but of uncertain clinical utility. We aimed to evaluate the clinical utility of comprehensive genomic evaluations through review of HCT at our center. Methods. – We performed exome/genome sequencing on pre-HCT samples from participants between 2017 and 2023. We reported primary findings (PF) and secondary findings (SF). Post hoc, we analyzed medication and pharmacogenetic (PGx) data. Results. – We analyzed pre-HCT exome/genome sequencing (n = 84 exome, n = 63 genome, n = 32 with both) for 179 probands. Most (143/179; 79.9%) had a PF underlying the HCT indication, with GATA2 being most common (n = 59). Three percent of participants had an SF predisposing to cancer or cardiovascular disease. Most (n = 108/179; 60.3%) received ≥1 medication(s) that may have been further optimized with PGx. Using Kaplan-Meier survival analysis, we compared the survival rates of participants with 0, 1, and ≥2 genomic risk factors (GRF: absence of PF; presence of SF or PGx). Survival at 3 y was 94.8%, 84.8%, and 58.5% for those with 0, 1, and ≥2 GRF, respectively (log-rank: 16.10, df = 2, P = 0.0003), indicating statistically significant survival differences by GRF. Conclusions. – Comprehensive genomic evaluation is an emerging avenue for tailoring HCT approaches, and identification of HCT-relevant findings may be common. On multivariate analysis, GRF was associated with survival in this retrospective cohort. Prospective research is warranted to further integrate genomic data into precision treatment.
AB - Background. – Hematopoietic cell transplantation (HCT) provides effective long-term management for some inborn errors of immunity. Genetic findings can inform donor selection, considerations in conditioning intensity and agents, and graft-versus-host disease prophylaxis. Exome/genome sequencing is increasingly accessible but of uncertain clinical utility. We aimed to evaluate the clinical utility of comprehensive genomic evaluations through review of HCT at our center. Methods. – We performed exome/genome sequencing on pre-HCT samples from participants between 2017 and 2023. We reported primary findings (PF) and secondary findings (SF). Post hoc, we analyzed medication and pharmacogenetic (PGx) data. Results. – We analyzed pre-HCT exome/genome sequencing (n = 84 exome, n = 63 genome, n = 32 with both) for 179 probands. Most (143/179; 79.9%) had a PF underlying the HCT indication, with GATA2 being most common (n = 59). Three percent of participants had an SF predisposing to cancer or cardiovascular disease. Most (n = 108/179; 60.3%) received ≥1 medication(s) that may have been further optimized with PGx. Using Kaplan-Meier survival analysis, we compared the survival rates of participants with 0, 1, and ≥2 genomic risk factors (GRF: absence of PF; presence of SF or PGx). Survival at 3 y was 94.8%, 84.8%, and 58.5% for those with 0, 1, and ≥2 GRF, respectively (log-rank: 16.10, df = 2, P = 0.0003), indicating statistically significant survival differences by GRF. Conclusions. – Comprehensive genomic evaluation is an emerging avenue for tailoring HCT approaches, and identification of HCT-relevant findings may be common. On multivariate analysis, GRF was associated with survival in this retrospective cohort. Prospective research is warranted to further integrate genomic data into precision treatment.
UR - http://www.scopus.com/inward/record.url?scp=105012363638&partnerID=8YFLogxK
U2 - 10.1097/TP.0000000000005504
DO - 10.1097/TP.0000000000005504
M3 - Article
C2 - 40739694
AN - SCOPUS:105012363638
SN - 0041-1337
JO - Transplantation
JF - Transplantation
ER -