scholarly journals Transient Abnormal Myelopoeisis and Mosaic down Syndrome in a Phenotypically Normal Newborn

Children ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. 52
Author(s):  
Zachary Prudowsky ◽  
HyoJeong Han ◽  
Alexandra Stevens

Transient abnormal myelopoiesis (TAM) is a common and potentially fatal neonatal complication of newborn babies with Down syndrome (DS). Children born with mosaic DS are also at risk of developing TAM. However, due to their variable phenotypes, early identification of patients with mosaic DS may be difficult; thus, early diagnosis of TAM is just as challenging. In this report, we describe a case of a phenotypically normal newborn who presented with concerns for neonatal leukemia. The diagnosis of mosaic DS and TAM was confirmed with abnormal GATA1 mutation testing, highlighting the importance of early GATA1 mutation testing in newborn leukemia with high suspicion for TAM.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2865-2865
Author(s):  
Kiminori Terui ◽  
Tsutomu Toki ◽  
Asahito Hama ◽  
Hideki Muramatsu ◽  
Daisuke Hasegawa ◽  
...  

Abstract Introduction: Approximately 5-10% of neonates with Down syndrome (DS) develop transient abnormal myelopoiesis (TAM). Almost all patients with TAM have GATA1 mutations resulting in the exclusive expression of a truncated protein (GATA1s). Although TAM patients exhibit various hematological abnormalities including circulating blasts, leukocytosis and thrombocytopenia, these abnormalities have been also reported in DS neonates without TAM. Therefore, analysis of GATA1 mutations is very important in the diagnosis of TAM. However, standard procedures to detect GATA1 mutations have not been established. Most of GATA1 mutations occur within the exon 2 and the surrounding sequences, but types of the mutations are varied, including insertions, deletions, duplications and point mutations. We previously reported that the expression levels of GATA1s were varied depending on types of mutations and might be associated with phenotypes of TAM including white blood cell (WBC) counts at diagnosis and a risk of progression to myeloid leukemia of DS (Kanezaki et al., Blood 2010). However, these findings have not been confirmed by other groups and effects of GATA1 mutation types on other clinical features of TAM have not been investigated. Patients and Methods: One hundred sixty-seven patients were enrolled in TAM-10 study and blood samples were available in 166 patients. GATA1 mutations were analyzed by Sanger sequencing using genomic DNA and complementary DNA (cDNA) prepared from peripheral blood. Expression patterns of GATA1 mRNA isoforms were examined by reverse transcriptase-polymerase chain reaction (RT-PCR). Targeted next-generation sequencing (NGS) were performed for patients in whom GATA1 mutations were not detected by Sanger sequencing. GATA1 mutations were classified into 3 groups according to the predicted consequences, splicing error (SE), loss of the first methionine (LOM) and premature termination codon (PTC). Blood smears were centrally reviewed. Patients whose smears were prepared more than 14 days after the onsets of TAM were excluded from the morphological analyses. Differences in clinical parameters among the 3 mutation groups were analyzed using the Fisher's exact test, Kruskal-Wallis test or Steel-Dwass test. Results: Mean age at sample collection, WBC count and blast percentage of blood samples were 8 days (range, 0-70 days), 22,100 µ/l (range, 4,400-422,000 µ/l), and 28.5% (range, 0-95%), respectively. GATA1 mutations were identified in 153 of 166 patients (92%) by Sanger sequencing. Although GATA1 mutations were not detected in 13 patients, splicing mutations were suspected in 7 patients because of the lack of the full-length GATA1 mRNA isoforms. In 12 of these 13 patients, blast percentages of the samples were less than 5%. GATA1 mutations were identified after targeted NGS in 10 of 13 patients negative for GATA1 mutations by Sanger sequencing. Of note, splicing mutations were confirmed after targeted NGS in all 7 patients suspected of having splicing mutations by RT-PCR. Collectively, GATA1 mutations were identified in 163 of 166 patients (98%). After exclusion of patients with multiple mutations (n=14) and internal deletion mutations (n=5), 39, 13 and 92 patients were classified into the SE, LOM and PTC groups, respectively. WBC counts at diagnosis were not significantly different among the 3 groups. However, the incidences of eosinophilia (>1,500 µ/l) were significantly different among the 3 groups (P<0.0001) and eosinophilia was more frequent in the SE (14/31, 45%) and LOM (4/11, 36%) groups than in the PTC (6/76, 8%) group (P<0.0001 and P=0.041, respectively). The levels of alanine aminotransferase (ALT) at diagnosis were also different among the 3 groups (P<0.00001) and the difference was statistically significant between the SE (median, 69; range, 11-468) and PTC group (median, 16; range, 3-380; P<0.00001). Conclusion: These results suggest that Sanger sequencing using cDNA as well as genomic DNA is rapid and sensitive method to detect GATA1 mutations and that targeted NGS is useful for detection of GATA1 mutations in patients with low blast percentages. GATA1 mutation types may affect some clinical features of TAM including the numbers of eosinophils and the levels of ALT. Because estimated expression levels of GATA1s are higher in SE and LOM groups than PTC group, high GATA1s expression might be associated with eosinophilia and increased levels of ALT in TAM. Disclosures No relevant conflicts of interest to declare.


Haematologica ◽  
2020 ◽  
pp. haematol.2019.242693
Author(s):  
Yoko Nishinaka-Arai ◽  
Akira Niwa ◽  
Shiori Matsuo ◽  
Yasuhiro Kazuki ◽  
Yuwna Yakura ◽  
...  

Leukemia ◽  
2021 ◽  
Author(s):  
Bianca F. Goemans ◽  
Sanne Noort ◽  
Marjolein Blink ◽  
Yong-Dong Wang ◽  
Susan T. C. J. Peters ◽  
...  

2021 ◽  
Vol 42 (03) ◽  
pp. 301-304
Author(s):  
Mohanaraj Ramachandran ◽  
Prasanth Srinivasan ◽  
Jagdish Prasad Meena ◽  
Aditya Kumar Gupta ◽  
Tanya Prasad ◽  
...  

AbstractTransient abnormal myelopoiesis (TAM) is a unique entity seen in children with Down syndrome (DS) with 10 to 20% risk of developing myeloid leukemia in the first 5 years of life. We report a 2 months old male infant with DS detected to have hyperleukocytosis on routine preoperative workup for cyanotic congenital heart disease. Peripheral blood and bone marrow aspiration showed blasts, and next-generation sequencing detected a novel GATA1 mutation, and a diagnosis of TAM was confirmed in this child. This mutation has not been reported in TAM in the literature earlier to the best of our knowledge.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1138-1138
Author(s):  
Ishnoor Sidhu ◽  
Sonali P. Barwe ◽  
E. Anders Kolb ◽  
Anilkumar Gopalakrishnapillai

Abstract Background Children with Down syndrome (DS) have a high risk for acute myeloid leukemia (DS-ML). Genomic characterization of DS-ML blasts showed the presence of unique mutations in GATA1, an essential hematopoietic transcription factor, leading to the production of a truncated from of GATA1 (GATA1s). GATA1s together with trisomy 21 is sufficient to develop a pre-leukemic condition called transient abnormal myelopoiesis (TAM). Approximately thirty percent of these cases progress into DS-ML by acquisition of additional somatic mutations in a step-wise manner. We previously developed a model for TAM by introducing disease-specific GATA1 mutation in trisomy 21 induced pluripotent stem cells (iPSCs) leading to the production of N-terminally truncated short form of GATA1 (GATA1s) (Barwe et al., 2021). In this study, we introduced co-operating mutation in STAG2, a member of the cohesin complex recurrently mutated in DS-ML but not in TAM, and evaluated its effect on hematopoietic differentiation. Methods Two different iPSC lines with trisomy 21 with or without GATA1 mutation as described in Barwe et al., 2021, were used. CRISPR/Cas9 gene editing was performed to introduce STAG2 mutation to generate a knockout of STAG2. Hematopoietic differentiation of these iPSC lines was performed using STEMdiff Differentiation kit. ProteinSimple Wes system was used for western blot analysis. Multi-dimensional flow cytometry was used for immunophenotypic analysis of megakaryoblasts cultured in lineage expansion media for 5 days. Multi-lineage colony forming potential was assessed by Methocult colony forming assay using day 10 hematopoietic stem progenitor cells (HSPCs). Results Hematopoietic differentiation of GATA1 and STAG2 double mutants in two independent trisomy 21 iPSC lines confirmed GATA1s expression and the loss of functional STAG2 protein (Fig. 1A). GATA1s expressing HSPCs collected on day 12 post differentiation showed reduced erythroid (CD71+CD235+) and increased megakaryoid (CD34+CD41+ within CD41+ compartment) and myeloid (CD18+CD45+) population compared to disomy 21 HSPCs with wild-type GATA1, consistent with our previous study (Fig. 2B). STAG2 knockout HSPCs showed higher erythroid population (P=0.033 and 0.016 in T21-1S and T21-2S respectively) and reduced myeloid population while it had no significant effect on the megakaryoid population in both iPSC lines. The GATA1s/STAG2 knockout HSPCs showed reduced erythroid, but higher megakaryoid and myeloid population compared to wild-type HSPCs. Strikingly, the immature megakaryoid population was significantly higher in the double mutant HSPCs compared to single mutant alone in both iPSC lines (P=0.005 and 0.004 for T21-1GS and T21-2GS respectively), indicating that the STAG2knockout co-operated with GATA1s for increasing megakaryoid population. The trisomy 21 iPSC line with wild-type GATA1 developed CFU-GEMM (colony-forming unit granulocyte erythroid macrophage megakaryocyte), CFU-GM (CUF granulocyte-macrophage) and BFU-E (burst-forming unit erythroid) colonies in Methocult. GATA1 mutation, unlike STAG2 mutation, inhibited the formation of CUF-GEMM and BFU-E colonies. The number of CFU-GM colonies in T21-2GS was significantly reduced compared to T21-2G (Fig. 1C, p=0.002). Lineage expansion and immunophenotyping of these HSPCs in megakaryocyte-specific media showed that these cells expressed markers closely resembling DS-ML immunophenotype. Of note, the myeloid markers, CD13 and CD11b are the only two markers expressed on majority of DS-ML blasts compared to TAM blasts (Karandikar et al., 2001) (Yumura-Yagi et al., 1992). The percentage of CD13 and CD11b expressing cells was higher in megakaryoblasts expanded from iPSC lines with STAG2 GATA1 double mutant (Fig. 1D). The number of cells expressing CD117, a stem cell marker shown recently to be involved in DS-ML progression, were highest in T21-1GS and T21-2GS lines when compared to their respective isogenic family of GATA1 mutant lines. Conclusion GATA1s and STAG2 knockout co-operated to increase the megakaryoid population and the percentage of cells expressing DS-ML markers. We have developed a model system representing DS-ML, which can be used for understanding the individual and synergistic contribution of these gene mutations in disease initiation and progression. Figure 1 Figure 1. Disclosures Barwe: Prelude Therapeutics: Research Funding. Gopalakrishnapillai: Geron: Research Funding.


HemaSphere ◽  
2019 ◽  
Vol 3 (S1) ◽  
pp. 479
Author(s):  
M. Elalfy ◽  
I. Ragab ◽  
H. Abdel-Khalek ◽  
M. Fayek ◽  
T. Kamal ◽  
...  

Crisis ◽  
2019 ◽  
Vol 40 (5) ◽  
pp. 326-332
Author(s):  
Ivonne Andrea Florez ◽  
Devon LoParo ◽  
Nakia Valentine ◽  
Dorian A. Lamis

Abstract. Background: Early identification and appropriate referral services are priorities to prevent suicide. Aims: The aim of this study was to describe patterns of identification and referrals among three behavioral health centers and determine whether youth demographic factors and type of training received by providers were associated with identification and referral patterns. Method: The Early Identification Referral Forms were used to gather the data of interest among 820 youth aged 10–24 years who were screened for suicide risk (females = 53.8%). Descriptive statistics and binary logistic regressions were conducted to examine significant associations. Results: Significant associations between gender, race, and age and screening positive for suicide were found. Age and race were significantly associated with different patterns of referrals and/or services received by youths. For providers, being trained in Counseling on Access to Lethal Means was positively associated with number of referrals to inpatient services. Limitations: The correlational nature of the study and lack of information about suicide risk and comorbidity of psychiatric symptoms limit the implications of the findings. Conclusion: The results highlight the importance of considering demographic factors when identifying and referring youth at risk to ensure standard yet culturally appropriate procedures to prevent suicide.


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