Please use this identifier to cite or link to this item: https://dora.health.qld.gov.au/qldresearchjspui/handle/1/4970
Title: Utility of clinical comprehensive genomic characterization for diagnostic categorization in patients presenting with hypocellular bone marrow failure syndromes
Authors: Ritchie, D.
Blombery, P.
Fox, L. C.
Ryland, G. L.
Thompson, E. R.
Lickiss, J.
McBean, M.
Yerneni, S.
Hughes, D.
Greenway, A.
Mechinaud, F.
Wood, E. M.
Lieschke, G. J.
Szer, J.
Barbaro, P.
Roy, J.
Wight, J.
Lynch, E.
Martyn, M.
Gaff, C.
Issue Date: 2021
Source: 106, (1), 2021, p. 64-73
Pages: 64-73
Journal: Haematologica
Abstract: Bone marrow failure (BMF) related to hypoplasia of hematopoietic elements in the bone marrow is a heterogeneous clinical entity with a broad differential diagnosis including both inherited and acquired causes. Accurate diagnostic categorization is critical to optimal patient care and detection of genomic variants in these patients may provide this important diagnostic and prognostic information. We performed real-time, accredited (ISO15189) comprehensive genomic characterization including targeted sequencing and whole exome sequencing in 115 patients with BMF syndromes (median age 24 years, range: 3 months - 81 years). In patients with clinical diagnoses of inherited BMF syndromes, acquired BMF syndromes or clinically unclassifiable BMF we detected variants in 52% (12 of 23), 53% (25 of 47) and 56% (25 of 45) respectively. Genomic characterization resulted in a change of diagnosis in 30 of 115 (26%) including the identification of germline causes for 3 of 47 and 16 of 45 cases with pre-test diagnoses of acquired and clinically unclassifiable BMF respectively. The observed clinical impact of accurate diagnostic categorization included choice to perform allogeneic stem cell transplantation, disease-specific targeted treatments, identification of at-risk family members and influence of sibling allogeneic stem cell donor choice. Multiple novel pathogenic variants and copy number changes were identified in our cohort including in TERT, FANCA, RPS7 and SAMD9. Whole exome sequence analysis facilitated the identification of variants in two genes not typically associated with a primary clinical manifestation of BMF but also demonstrated reduced sensitivity for detecting low level acquired variants. In conclusion, genomic characterization can improve diagnostic categorization of patients presenting with hypoplastic BMF syndromes and should be routinely performed in this group of patients.L20105750102021-01-12
2021-02-04
DOI: 10.3324/haematol.2019.237693
Resources: https://www.embase.com/search/results?subaction=viewrecord&id=L2010575010&from=exporthttp://dx.doi.org/10.3324/haematol.2019.237693 |
Keywords: gene;gene frequency;genetic analysis;genetic disorder;genetic variability;germline mutation;hematologic malignancy;high throughput sequencing;human;hybridization;infant;KMT2D gene;major clinical study;male;MPL gene;population risk;prospective study;PSTPIP1 gene;RUNX1 gene;SAMD9 gene;SAMD9L gene;Sanger sequencing;severe congenital neutropenia;Shwachman syndrome;SRP54 gene;telomeropathy;very elderly;whole exome sequencing;sibling;ASXL transcriptional regulator 1 proteinCbl protein;CUB and sushi multiple domains 1 protein;DNA methyltransferase 3A;isocitrate dehydrogenase 2;phosphatidylinositol glycan anchor biosynthesis class A protein;protein;protein bcl 6;telomerase reverse transcriptase;tet methylcytosine dioxygenase 2;transcription factor RUNX1;u2 small nuclear RNA auxiliary factor 1;unclassified drug;acquired bone marrow failure syndrome;adolescent;adult;aged;allogeneic stem cell transplantation;article;Blackfan Diamond anemia;bone marrow depression;bone marrow hypoplasia;child;cohort analysis;controlled study;copy number variation;CSF3R gene;diagnostic accuracy;DNAJC21 gene;droplet digital polymerase chain reaction;dyskeratosis congenita;female;GATA2 gene
Type: Article
Appears in Sites:Children's Health Queensland Publications

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