Myelodysplastic syndrome (MDS) and acute leukemia (AL) are clinically diverse and genetically heterogeneous groups of hematological malignancies. Hereditary forms of MDS/AL were considered rare, but have been increasingly recognized in recent years.1, 2, 3 Pathogenic variants in a single gene can predispose carriers to an increased lifetime risk of primary MDS and/or AL. Hereditary MDS/AL can occur in the context of familial MDS/AL that have MDS/AL as the principal clinical feature, or arise from inherited bone marrow failure syndromes (IBMFS), such as Fanconi anemia (FA), dyskeratosis congenita/telomerase biology disorders (TBD), Diamond–Blackfan anemia and severe congenital neutropenia.1, 4 Within the past decade, nearly a dozen adult-onset familial MDS/AL syndromes have been defined. These include thrombocytopenia with associated myeloid malignancies caused by germ line mutations in RUNX1,ANKRD26 and ETV6;GATA2-associated syndromes (Emberger syndrome; MonoMAC syndrome; immunodeficiency); familial MDS and acute myeloid leukemia caused by mutations in CEBPA, DDX41 andSRP72; and TBD due to mutations in TERT or TERC.2 Although the majority of patients with classic IBMFS are diagnosed in childhood, some patients have no or only subtle extra hematopoietic manifestations and may present in adulthood with MDS or AL.2, 5
A few studies have shown that genetic abnormalities exist in 11–37% of families with hereditary MDS/AL.6, 7, 8, 9, 10 The recognition of patients with a hereditary predisposition to MDS/AL is particularly important for hematopoietic stem cell transplantation donor selection, pre-transplant planning and post-transplant care.11 The correct clinical diagnosis is also important to avoid the risk of life-threatening toxicities with inappropriate therapy, for long-term cancer surveillance and prognosis, and for identification of at-risk or affected family members.5 Clinical guidelines for the care of MDS/AL predispositions are now emerging.1, 2, 3 To reflect the increasing recognition and clinical awareness of hereditary hematological malignancies, the World Health Organization (WHO) has included germ line predisposition to myeloid malignancies in the forthcoming WHO classification guidelines.12 However, the application of genetic testing on hereditary MDS/AL in clinical practice has never been systematically reported.
Given the phenotypic overlap of the known hereditary MDS/AL predisposition syndromes, a gene panel-based approach to genetic testing is preferred, as it offers the ability to analyze multiple genes simultaneously and cost-effectively. Our College of American Pathologists certified and Clinical Laboratory Improvement Amendments-licensed laboratory is the first to provide comprehensive clinical testing via a combination of multiple next-generation sequencing and array comparative genomic hybridization-based panel tests to evaluate genetic predisposition to MDS/AL. Multiple gene panels are available, including a familial MDS/AL panel, IBMFS panel, and panels for FA, dyskeratosis congenita/TBD, Diamond–Blackfan anemia and severe congenital neutropenia (Table 1 and Supplementary Table 1). Cultured skin fibroblasts are the preferred tissue for germ line mutation testing in patients with hematological malignancy as they provide higher quality and quantity of DNA compared to hair roots and nail clippings. The targeted next-generation sequencing was performed using Illumina technology (San Diego, CA, USA). The high-density exon-targeted array comparative genomic hybridization is custom designed using Agilent Technology (Santa Clara, CA, USA). The variant interpretation follows the standards and guidelines for the interpretation of sequence variants from the American College of Medical Genetics and Genomics.13
Table 1. Molecular diagnoses in patients tested shown by age of onset (childhood onset, 0–16 years old; adulthood onset, 17 years old and older) and all together.
Panels |
Patients tested |
Mutation detected |
Rate of molecular diagnosis |
||||||
---|---|---|---|---|---|---|---|---|---|
Children | Adults | Total | Children | Adults | Total | Children | Adults | Total | |
Familial MDS/ALa | 18 | 60 | 78 | 4 | 10 | 14 | 22% | 17% | 18% |
IBMFS | 28 | 58 | 86 | 1 | 13 | 14 | 4% | 22% | 16% |
DC/TBD | 7 | 8 | 15 | 2 | 3 | 5 | 29% | 38% | 33% |
FA | 1 | 2 | 3 | 1 | NA | 1 | 100% | NA | 33% |
DBA | 1 | NA | 1 | 1 | NA | 1 | 100% | NA | 100% |
SCN | 2 | NA | 2 | NA | NA | NA | NA | NA | NA |
Multiple panelsb | 8 | 4 | 12 | 1 | 2 | 3 | 13% | 25% | 25% |
Total | 65 | 132 | 197 | 10 | 28 | 38 | 15% | 21% | 19% |
Abbreviations: AML, acute myeloid leukemia; DBA, Diamond–Blackfan anemia; DC/TBD, dyskeratosis congenita/telomere biology disorders; FA, Fanconi anemia; IBMFS, inherited bone marrow failure syndrome; MDS/AL, myelodysplastic syndrome/acute leukemia; NA, not applicable; SCN, severe congenital neutropenia.
For patients referred for the familial MDS/AL panel, 36 were from the University of Chicago Medical Center and had documented pathologic confirmation; others were from outside hospitals and most of them were diagnosed with MDS or AML at the time of testing.
The patient was tested for more than one panel.
A total of 197 patients (110 females and 87 males) were referred to our laboratory for MDS/AL predisposition gene panel testing from October 2014 to June 2016. The patient age at the time of testing ranged from 1 to 84 years in 65 children and 132 adults. Seventy-eight patients were referred for testing for the familial MDS/AL panel, 86 for the IBMFS panel, 15 for the dyskeratosis congenita/TBD panel and 12 for multiple panel testing. In addition, a total of six patients were referred for specific testing of FA, Diamond–Blackfan anemia and severe congenital neutropenia (Table 1).
The overall molecular diagnostic rate was 19% (37 of 197) with 15% in children and 21% in adults (Table 1). Pathogenic/likely pathogenic variants were identified in 14 (18%) patients tested on the familial MDS/AL panel, 13 (16%) patients tested on the IBMFS panel, 5 (33%) patients tested on the dyskeratosis congenita/TBD panel, 1 (33%) patients tested on the FA panel and 3 (25%) patients tested on multiple panels. The most frequently affected genes were FANCA (four of the five cases from the IBMFS panel) and GATA2 (four of the five cases from the familial MDS/AL panel) (Table 2, Supplementary Figures 1 and 2). Unexpectedly, three of the five patients with FANCA deleterious variants were adults, and presented with aplastic anemia or acute myeloid leukemia as the major phenotype. Patient 5 was a child without typical features of FA at the time of the testing. Only Patient 2 was a child diagnosed clinically with FA. Diepoxybutane testing was performed on Patients 2 and 4, and both were abnormal. In these cases, genetic testing informed the clinical diagnosis in the absence of typical FA features. Our result is also consistent with previous reports that GATA2 is one of the more commonly mutated genes in MDS/AL predisposition syndromes.8, 14 Four of the five GATA2 deleterious variants were novel, and four of them were located in the ZF2 domain, further emphasizing this domain as a mutational hot spot (Table 2 and Supplementary Figure 2). TERT, DDX41 and RUNX1 were the next frequently mutated genes (Table 2 and Supplementary Figure 2). Overall, 21 novel pathogenic/likely pathogenic variants have been identified (Table 2).
Table 2. Summary of pathogenic and likely pathogenic variants identified in a total of 38 patients.
Patient | Gene | DNA | Protein | Zygosity | Inheritance | Panel | Previously reported (PMID, ClinVar, ExAc) or novel |
---|---|---|---|---|---|---|---|
1 | FANCA | c.1A>G | p.Met1? | Het | AR | IBMF | 10090479 |
c.3624C>T | p.(=) | Het | AR | IBMF | 16084127; 17924555; 22778927 | ||
2 | FANCA | c.826+5_826+9del | p.? | Het | AR | FA | Novel |
Del exons 21–28 | p.? | Het | AR | FA | 24584348 | ||
3 | FANCA | c.1115_1118del | p.Val372Alafs42a | Het | AR | IBMF | In ClinVar |
Del exons 15–17 | p.? | Het | AR | FA | 10521298 | ||
4 | FANCA | c.2398G>T | p.Glu800a | Het | AR | IBMF | Novel |
c.2601+1G>T | p.? | Het | AR | IBMF | Novel | ||
5 | FANCA | Del exons 18–43 | p.? | Het | AR | Familial MDS/AL | Novel |
c.3482C>T | p.Thr1161Met | Hom | AR | IBMF | 0.005% in ExAC | ||
6 | GATA2 | c.857C>T | p.Ala286Val | Het | AD | Familial MDS/AL | Novel |
7 | GATA2 | c.1054T>C | p.Cys352Arg | Het | AD | Familial MDS/AL | Novel |
8 | GATA2 | c.1081C>G | p.Arg361Gly | Het | AD | Familial MDS/AL | Novel |
9 | GATA2 | c.1084C>T | p.Arg362a | Het | AD | IBMF | Novel |
10 | GATA2 | c.1192C>T | p.Arg398Trp | Het | AD | Familial MDS/AL | 21670465; 25111582; 24345756; 26214525; 25359990 |
11 | TERT | c.604G>A | p.Ala202Thr | Het | AR/AD | IBMF | 15814878 |
12 | TERT | c.1620C>G | p.Ile540Met | Hom | AD/AR | DC/TBD | Novel |
13 | TERT | c.2146G>A | p.Ala716Thr | Het | AR/AD | IBMF | Novel |
14 | TERT | c.3150G>C | p.Lys1050Asn | Het | AD/AR | Familial MDS/AL | 26024875 |
15 | DDX41 | c.3G>A | p.Met1? | Het | AD | Familial MDS/AL | 26712909; 0.005% in ExAC |
16 | DDX41 | c.323del | p.Lys108Serfs3a | Het | AD | Familial MDS/AL | Novel |
17 | DDX41 | c.1016G>T | p.Arg339Leu | Het | AD | Familial MDS/AL | Novel |
18 | RUNX1 | Del exons 1–2 | p.? | Het | AD | IBMF | Novel |
19 | RUNX1 | c.352-1G>A | p.? | Het | AD | Familial MDS/AL | Novel |
20 | RUNX1 | c.557T>A | p.Val186Asp | Het | AD | IBMF | Novel |
21 | RTEL1 | c.3028C>T | p.Arg1010a | Het | AR/AD | DC/TBD | 23329068; 0.008% in ExAC |
22 | RTEL1 | c.3791G>A | p.Arg1264His | Het | AR/AD | DC/TBD | 25607374; 0.008% in ExAC |
23 | SBDS | c.258+2T>C | p.? | Het | AR/AD | IBMF | 12496757; 15284109; 15942154; 17478638; 0.395% in ExAC |
24 | SBDS | c.258+2T>C | p.? | Het | AR/AD | IBMF | 12496757; 15284109; 15942154; 17478638; 0.395% ExAC |
25 | ANKRD26 | c.-119C>G | p.? | Het | AD | Familial MDS/AL | Novel |
26 | ETV6 | c.614del | p.Leu205Argfs4a | Het | AD | Familial MDS/AL | Novel |
27 | TP53 | c.869G>A | p.Arg290His | Het | AD | Familial MDS/AL | 10435620; 17541742; 22811390; 19468865; 26086041; 25925845; 0.016% in ExAC |
28 | CEBPA | c.119dup | p.Gln41Alafs67a | Het | AD | Familial MDS/AL | Novel |
29 | CHEK2 | c.1283C>T | p.Ser428Phe | Het | AD | Familial MDS/AL | 15649950; 18085035; 0.031% in ExAC |
30 | TINF2 | c.845G>A | p.Arg282His | Het | AD | DC/TBD | 18979121; 18252230; 18669893 |
31 | RPS26 | c.55C>T | p.Gln19a | Het | AD | DBA | Novel |
32 | FANCL | c.1007_1009del | p.Ala291Val | Het | AR | IBMF | 0.026% in ExAC |
33 | MPL | c.972del | p.Arg325Glufs44a | Het | AR/AD | IBMF | 0.001% in ExAC |
34 | CTC1 | c.2954_2956del | p.Cys985del | Hom | AR | IBMF | 0.009% in ExAC |
35 | RPS19 | c.356+3A>C | p.? | Het | AD | IBMF | Novel |
36 | BRIP1 | c.139C>G | p.Pro47Ala | Het | AR/AD | IBMF | 11301010; 14983014 |
36 | TERC | n.287C>G | NA | Het | AD | IBMF | 21931702 |
37a | G6PC3 | c.130C>T | p.Pro44Ser | Het | AR | IBMF | 23298686; 22469094; 21264919; 0.005% in ExAC |
38 | DKC1 | c.1255T>A | p.Tyr419Asn | Hem | X-linked | DC/TBD | Novel |
Abbreviations: AD, autosomal domiant; AR, autosomal recessive; DBA, Diamond–Blackfan anemia; DC/TBD, dyskeratosis congenita/telomere biology disorders; ExAC, Exome Aggregation Consortium; FA, Fanconi anemia; Hem, hemizygote; Het, heterozygote; Hom, homozygote; IBMF, inherited bone marrow failure; MDS/AL, myelodysplastic syndrome/acute leukemia.
Only one pathogenic variant detected in G6PC3. It cannot be ruled out that a second pathogenic variant in the G6PC3 is present that could not be detected by the assay.
Gene panel testing can aid in the clinical diagnosis of hereditary MDS/AL, particularly in the presence of phenotypic overlap and genetic heterogeneity. For instance, Patient 4, a 19-year-old male with a history of longstanding unexplained thrombocytopenia and learning disability, developed acute myeloid leukemia and was suspected to carry a pathogenic variant in RUNX1,ETV6 or ANKRD26 (Table 2). However, testing detected two pathogenic variants in FANCA, c.2398G>T (p.Glu800*) and c.2601+1G>T (p.?) (Table 2), supporting a diagnosis of FA. Subsequent diepoxybutane testing confirmed the diagnosis of FA and prompted changes in the medical management to avoid substantial morbidity due to intensive chemotherapy.15
Our testing has also demonstrated that the identification of pathogenic variants predisposing to MDS/AL has a significant impact on the choice of pre-transplant conditioning and selection of sibling donors. A pathogenic variant in GATA2 was identified in Patient 8 who was being evaluated for hematopoietic stem cell transplantation at the time of testing, with a sister as a potential donor. The molecular diagnosis in this patient urged follow-up testing to be performed on the sister to prevent potentially devastating consequences associated with the use of a donor who carries the same pathogenic GATA2 variant.
A total of 106 variants of uncertain significance were identified in 72 (37%) patients (Supplementary Figure 3). As the majority of the genes in these panels are relatively novel, less is known about unique variants seen for the first time. Population genetic data, segregation studies in family members and functional studies may help clarify the nature of some of these variants and reduce the yield of variants of uncertain significance on similar panels. Among the variants of uncertain significance, two were predicted to affect RNA splicing by in silico prediction tools (Alamut Visual, Rouen, France), and RNA splicing assays were performed to clarify the nature of these variants. The first, a novel heterozygous FANCA variant, c.826+5_826+9del (p.?), in Patient 4, was predicted to affect the canonical splice donor site of exon 9 (Table 2, Supplementary Table 2, Supplementary Figure 4A). RNA splicing assay revealed the presence of an aberrant isoform with a deletion of exon 9 that resulted in a premature stop codon in exon 10 (Supplementary Figures 4B–D). Further review of the next-generation sequencing data revealed an additional large heterozygous deletion of exons 21–28 in FANCA in this patient, which was confirmed by array comparative genomic hybridization (Supplementary Figure 4E) and determined to be in trans with c.826+5_826+9del. The second, a novel GATA2 variant, c.857C>T (p.Ala286Val), in Patient 6, was predicted to generate a cryptic splice donor site (Table 2 and Supplementary Table 2). We demonstrated an aberrant isoform with a deletion of 16 bp in exon 3 resulting in a premature stop codon in exon 4 of GATA2 by RNA splicing analysis of skin fibroblasts with or without cycloheximide treatment (a nonsense-mediated messenger RNA decay inhibitor; Supplementary Figures 5A and B). The results provided sufficient evidence that the c.857C>T is a likely pathogenic variant.
Eighty-seven (44%) patients had negative testing results. Genetic abnormalities in a considerable proportion of patients with a history of MDS/AL predisposition therefore remain uncharacterized, suggesting that additional germ line genetic aberrations exist and remain to be identified. Research studies and periodic follow-up will help establish the genetic basis of the disorders in these patients. Clinical genetic testing also needs to be continually updated with the rapidly growing recognition of additional MDS/AL risk genes and syndromes.
In conclusion, our study demonstrates the utility of genetic testing for hereditary MDS/AL predisposition syndromes. This study has provided a better understanding of the genetic etiology of hereditary MDS/AL predisposition syndromes and broadened the gene mutation spectrum. RNA splicing analysis played an important role in clarifying variant pathogenicity. The cost of these panels is similar to gene panel testing for other genetic disorders. Our gene panel-based testing for the diagnosis of hereditary MDS/AL syndromes is being integrated into clinical hematological malignancy evaluation and the clinical decision-making for personalized treatment considerations.
Acknowledgments
We thank Darrel Waggoner for helpful discussion, Frances Kobiernicki, David Fischer, Kirsten Donato, Ying Ying Hu, Priscilla Sodadasi, Latrice Wysinger, Alexander Gary and Lan Ma for sample processing. This work was supported in part by the Institutional Research Grant from the American Cancer Society (ZL).
Author contributions
LG, GA-A and KA performed the experiments. ZL, LG, AKJ, VN, JEC, LAG, DT, NSY, CF, DdG and SD analyzed and interpreted the data. ZL and LG wrote the paper. ZL designed and coordinated the research study.
Footnotes
Supplementary Information accompanies this paper on the Leukemia website (http://www.nature.com/leu)
The authors declare no conflict of interest.
Supplementary Material
References
- Churpek JE, Lorenz R, Nedumgottil S, Onel K, Olopade OI, Sorrell A et al. Proposal for the clinical detection and management of patients and their family members with familial myelodysplastic syndrome/acute leukemia predisposition syndromes. Leuk Lymphoma 2013; 54: 28–35. [DOI] [PubMed] [Google Scholar]
- Bannon SA, DiNardo CD. Hereditary predispositions to myelodysplastic syndrome. Int J Mol Sci 2016; 17: 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Babushok DV, Bessler M, Olson TS. Genetic predisposition to myelodysplastic syndrome and acute myeloid leukemia in children and young adults. Leuk Lymphoma 2016; 57: 520–536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Owen C, Barnett M, Fitzgibbon J. Familial myelodysplasia and acute myeloid leukaemia—a review. Br J Haematol 2008; 140: 123–132. [DOI] [PubMed] [Google Scholar]
- Babushok DV, Bessler M. Genetic predisposition syndromes: when should they be considered in the work-up of MDS? Best Pract Res Clin Haematol 2015; 28: 55–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holme H, Hossain U, Kirwan M, Walne A, Vulliamy T, Dokal I. Marked genetic heterogeneity in familial myelodysplasia/acute myeloid leukaemia. Br J Haematol 2012; 158: 242–248. [DOI] [PubMed] [Google Scholar]
- DiNardo CD, Bannon SA, Routbort M, Franklin A, Mork M, Armanios M et al. Evaluation of patients and families with concern for predispositions to hematologic malignancies within the hereditary hematologic malignancy clinic (HHMC). Clin Lymphoma Myeloma Leuk 2016; 16: 417–428.e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Churpek JE, Pyrtel K, Kanchi KL, Shao J, Koboldt D, Miller CA et al. Genomic analysis of germ line and somatic variants in familial myelodysplasia/acute myeloid leukemia. Blood 2015; 126: 2484–2490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keel SB, Scott A, Sanchez-Bonilla M, Ho PA, Gulsuner S, Pritchard CC et al. Genetic features of myelodysplastic syndrome and aplastic anemia in pediatric and young adult patients. Haematologica 2016; 101: 1343–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang MY, Keel SB, Walsh T, Lee MK, Gulsuner S, Watts AC et al. Genomic analysis of bone marrow failure and myelodysplastic syndromes reveals phenotypic and diagnostic complexity. Haematologica 2015; 100: 42–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Churpek JE, Artz A, Bishop M, Liu H, Godley LA. Correspondence regarding the consensus statement from the Worldwide Network for Blood and Marrow Transplantation Standing Committee on donor issues. Biol Blood Marrow Transplant 2016; 22: 183–184. [DOI] [PubMed] [Google Scholar]
- Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016; 127: 2391–2405. [DOI] [PubMed] [Google Scholar]
- Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015; 17: 405–424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pasquet M, Bellanne-Chantelot C, Tavitian S, Prade N, Beaupain B, Larochelle O et al. High frequency of GATA2 mutations in patients with mild chronic neutropenia evolving to MonoMac syndrome, myelodysplasia, and acute myeloid leukemia. Blood 2013; 121: 822–829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Talbot A, Peffault de Latour R, Raffoux E, Buchbinder N, Vigouroux S, Milpied N et al. Sequential treatment for allogeneic hematopoietic stem cell transplantation in Fanconi anemia with acute myeloid leukemia. Haematologica 2014; 99: e199–e200. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.