Fanconi's Anemia in Adulthood: Chemoradiation-Induced Bone Marrow Failure and a Novel FANCA Mutation Identified by Targeted Deep Sequencing

2011 ◽  
Vol 29 (20) ◽  
pp. e591-e594 ◽  
Author(s):  
Iain Beehuat Tan ◽  
Ioana Cutcutache ◽  
Zhi Jiang Zang ◽  
Jabed Iqbal ◽  
Seow Fong Yap ◽  
...  
Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 3751-3751
Author(s):  
Guillermo I. Drelichman ◽  
Nora F. Basack ◽  
Alejandra Maro ◽  
Graciela Schwalb ◽  
Daniel H. Freigeiro ◽  
...  

Abstract Inherited bone marrow failure syndromes (IBMFS) present chronic bone marrow failures, a familial incidence and high risk of malignancy. Objective: we describe our experience with patients with IBMFS. Since 02/73 to 02/05, 60 patients (pts) with IBMSF were diagnosed. Fanconi’s Anemia Blackfand-Diamond TAR-Shwachman-Diamond-Dyskeratosis Congenita Amegakaryocytic Thrombocytopenia.- Kostmann’s S. Familial AA-Pearson’s S N Pts 26 17 6 – 2 – 2 2 – 2 2 – 1 Median age at diagnosis 7.1 y 3 m 3m – 4 m – 6.4 y 2 m – 1.8 m 4 y – 3 y First hematologic sign Pancytopenia Anemia Thrombocytop. – Neutrop. – Pancytop. Thrombocytop. – Neutrop. Pancytop. – Anemia Bone Marrow Aplastic Erythroid Aplasia Megakar. Aplasia – Myeloid arrest– Aplastic Megakar. Aplasia– Myeloid arrest Aplastic – Vacuolated myeloid Physical Abnorm.(%) 88 47 100 – 50– 100 50 – 0 0 – 0 Aplastic Anemia (%) 100 0 0 – 0 – 100 50 – 0 100 – 100 Leukemia / MDS (%) 11.5 0 0 – 0 – 0 0 – 0 0 – 0 Mortality(%) 62 0 17 – 50 – 0 50 – 50 50 – 0 Conclusion: 68 % pts. presented with associated physical abnormalities, 53 % began the symptoms with bone marrow aplasia. With a median follow up: 16. 3 years (r: 1y – 32 y), 39 (65%) pts are alive (9 pts. post bone marrow transplantation) and 3 pts with Fanconi’s Anemia developed refractory Acute Myeloblastic Leukemia.


2018 ◽  
pp. 587-593
Author(s):  
Cristina Díaz de Heredia ◽  
Marc Bierings ◽  
Jean-Hugues Dalle ◽  
Francesca Fioredda ◽  
Brigitte Strahm

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 253-253 ◽  
Author(s):  
Tetsuichi Yoshizato ◽  
Bogdan Dumitriu ◽  
Kohei Hosokawa ◽  
Hideki Makishima ◽  
Kenichi Yoshida ◽  
...  

Abstract Background: Acquired aplastic anemia (AA), the prototypical bone marrow failure syndrome, is inferred to result from immune-mediated destruction of hematopoietic progenitors, as most patients respond to immunosuppressive therapies. Clonal hematopoiesis in AA is evident in the presence of paroxysmal nocturnal hemoglobinuria (PNH) cells in as many as half of patients and by identification of uniparental disomies involving 6p (6pUPD) chromosome in 13% of cases. In addition, "clonal transformation", as defined by the development of myelodysplastic syndromes (MDS) or acute myelogenous leukemia (AML) is a serious long-term complication in 10-15% AA patients. Methods: We performed targeted deep sequencing and SNP array-based copy number (CN) analysis of peripheral blood- or granulocyte-derived DNA from 439 patients with AA (280 from US and 159 from Japanese cohorts) for a panel of 103 candidate genes, chosen because they are known to be frequently mutated in myeloid neoplasms. Germline DNA was available for 288 out of 439 patients and was used to confirm the somatic origin of mutations. Whole exome sequencing (WES) was performed in 52 cases. Where serial samples were available, the chronology of detected mutations was also investigated. Results: Targeted deep sequencing provided highly concordant results between the US and Japanese cohorts; approximately one third of AA patients had mutations in genes commonly affected in myeloid neoplasms, and about one third of patients in whom mutations were identified had multiple mutations. Multi-lineage involvement of mutations was confirmed in 6 cases using flow-sorted bone marrow samples. However, compared to myeloid neoplasms, mutations in AA were at much lower variant allele frequencies (VAFs) (<10% on average) and most frequently involved 5 genes: PIGA, BCOR/BCORL1, DNMT3A and ASXL1 (Fig.1). Although CN abnormalities were rare, about 13% of AA patients in both cohorts showed 6pUPD. Combined, clonal hematopoiesis was detected in as many as 46.5% and 47.8% of US and Japanese patients, respectively. We focused efforts on the large NIH cohort, due to accessible serial samples and well characterized clinical phenotypes at many time points. For 46 cases for which diagnostic samples were available, mutations were detected from at the time of diagnosis but at very low VAFs. The size of DNMT3A or ASXL1 mutated clones tended to increase over time, regardless of the emergence of chromosomal anomalies or blasts, whereas that of BCOR or PIGA mutated clones was more likely to decrease or remain stable. In both patient cohorts, presence of an acquired mutation was associated with older age, but did not correlate with response to immunosuppressive therapy (IST) or overall survival (OS). Mutations in PIGA and BCOR/BCORL1 were more common in AA than in MDS/AML and when combined, were associated with favorable OS (favorable mutations) (P = 0.044). Conversely, 17 high-risk mutations were extracted to predict poor OS (Fig. 2), which combined with favorable mutations, could be used to stratify AA patients with regard to OS (P = 0.0025). WES allowed capture of more mutations and better characterization of clonal hematopoiesis: more than 60% of AA patients had somatic mutations by combined targeted and whole exome sequencing. In 36 cases, WES was performed for all available serial samples, which enabled comprehensive monitoring of the dynamic chronological behavior of hematopoietic clones for as long as a decade after diagnosis. In many cases, clonal hematopoiesis developed gradually and was unrelated to the severity of cytopenias or to clinical evolution to abnormal cytogenetics, marrow dysplasia, and leukemia. Acquisition of new mutations within founder clones and subsequent selection shaped highly complex clonal structures in some cases (Fig. 3). The emergence of clonal hematopoiesis predated the development of MDS or leukemic transformation, with clones often detectable at time of diagnosis. Conclusions: Clonal hematopoiesis in AA was prevalent, associated in about half of cases with mutations in genes recurrently mutated in myeloid neoplasms. The highly biased set of mutated genes associated with clonal hematopoiesis in AA is evidence for Darwinian selection of particular cell clones under in the bone marrow failure environment. Mutations could be used to better predict prognosis of AA patients. Figure 1 Figure 1. Figure 2 Figure 2. Figure 3 Figure 3. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3841-3841
Author(s):  
Erik Malmberg ◽  
Sara Ståhlman ◽  
Anna Rehammar ◽  
Tore Samuelsson ◽  
Sofie J Alm ◽  
...  

Abstract Background and aim: The importance of sensitive minimal residual disease (MRD) analysis for determination of response to treatment in acute myeloid leukemia (AML) is becoming increasingly evident. Routinely, this analysis is performed using multiparameter flow cytometry, and in select cases with fusion transcripts using reverse transcription polymerase chain reaction. The drawback with flow cytometry is that it is associated with false negativity due to immunophenotypic shifts during treatment and in pending relapse. In addition, leukemia immunophenotypes often overlap with the normal regenerating bone marrow cell populations. Therefore, other means of identifying remaining leukemic cells are warranted. Leukemic cells in AML are characterized by somatic mutations in recurrently mutated genes as well as in random genes, in most cases as single nucleotide variations (SNVs). We have previously reported that leukemia-specific mutations can be readily identified at the time of diagnosis of AML using exome sequencing of high purity sorted leukemic cells and lymphocytes. The aim here was to show that leukemia-specific mutations identified with exome sequencing at diagnosis can serve as markers for MRD, quantified with targeted deep sequencing, during follow-up. Method: Seventeen cases of AML, age 2-71 years old, were included in the study. Leukemic cells and lymphocytes were sorted using fluorescence activated cell sorting (FACS), from blood or bone marrow at diagnosis of AML. Exome sequencing of sorted cell populations was performed on the Illumina platform. Variant calling was performed with Mutect for SNVs and with Strelka and Varscan for short insertions/deletions. The data was subjected to an in-house statistical algorithm to identify variants present in all leukemic cells and thus suitable for MRD analysis. For targeted deep sequencing, the Truseq-library system was used for in-house PCR and sequencing on the Illumina Miseq platform (2x150 bp). The acquired reads were stitched using PEAR, aligned to the human reference genome and the resulting alignments were analyzed with in-house scripts with respect to specific SNVs and NPM1 insertion. Results: Exome sequencing of the paired leukemia/lymphocyte samples identified 240 leukemia-specific SNVs (14 (0-29) per case (median, range) and 22 small insertions and deletions (1 (0-5) per case). The most common type of mutation was, as expected, substitution of cytosine to thymine (CàT). The number of leukemia specific SNVs correlated with age (r=0.76, p<0.001). Mutations suitable for MRD analysis were identified in all but one of the investigated AML cases. Targeted deep sequencing of leukemic cells in serial dilutions established linearity down to a determined variant allele frequency (VAF) of 0.025% for SNVs and of 0.016% for insertion in NPM1. The level of detection (mean+3SD of normal samples) was VAF 0.025% for SNVs and VAF 0.007% for insertion in NPM1. Targeted deep sequencing was then performed on DNA prepared from follow-up bone marrow slides from a patient with AML with mutations suitable for MRD analysis according to our algorithm. Targeted deep sequencing of three SNVs (in the genes CPS1, ITGB7 and FAM193A) and NPM1 type A mutation could detect mutations at all eight time points tested. There were strong correlations between the detected mutation load of the SNVs and the NPM1 type A mutation and all four mutations were present at relapse 10 months after diagnosis. Targeted deep sequencing of SNVs was in this case more sensitive and robust than multiparameter flow cytometry, which could not detect leukemic cells (<0.1% of all cells) at two of the tested time points (5 and 8 months after diagnosis) and showed a completely switched immunophenotype of leukemic cells at relapse. Conclusions: Exome sequencing of high purity sorted leukemic cells and lymphocytes at the time of diagnosis of AML can identify leukemia-specific mutations suitable for MRD analysis. With targeted deep sequencing of leukemia-specific SNVs identified in this manner, leukemic cell burden can be estimated with high sensitivity during follow-up. The method could be used for patient-tailored MRD analysis in AML. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
1957 ◽  
Vol 12 (6) ◽  
pp. 567-576 ◽  
Author(s):  
JOHN L. EMERY ◽  
R. R. GORDON ◽  
JOHN RENDLE-SHORT ◽  
S. VARADI ◽  
A. J. N. WARRACK

Abstract Two infants with absent radii are described. Both had hemorrhagic manifestations which occurred within 24 hours of birth, and from which they eventually died. The most important hematologic feature was absence of megakaryocytes in the bone marrow. Five cases showing a similar picture have been recorded, four as amegakaryocytic thrombocytopenia, and one as congenital leukemia. It is suggested that these cases are related on the one hand to Fanconi’s anemia, and on the other to congenital leukemia.


1977 ◽  
Vol 11 (4) ◽  
pp. 475-475
Author(s):  
Victor Lui ◽  
Abdelsalam H Ragab ◽  
Harry Findley ◽  
Barbara Frauen

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