scholarly journals TP53 and IDH2 Somatic Mutations Are Associated With Inferior Overall Survival After Allogeneic Hematopoietic Cell Transplantation for Myelodysplastic Syndrome

2017 ◽  
Vol 17 (11) ◽  
pp. 753-758 ◽  
Author(s):  
Mohamed A. Kharfan-Dabaja ◽  
Rami S. Komrokji ◽  
Qing Zhang ◽  
Ambuj Kumar ◽  
Athanasios Tsalatsanis ◽  
...  
Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3681-3681
Author(s):  
Tao Zhang ◽  
Paul Auer ◽  
Stephen R. Spellman ◽  
Caitrin Fretham ◽  
Yung-Tsi Bolon ◽  
...  

Abstract BACKGROUND Myelodysplastic syndromes (MDS) represent a heterogeneous group of myeloid malignancies characterized by cytopenia and increased risk of progression to acute myeloid leukemia (AML) driven by accumulated somatic mutations in hematopoietic stem cells (HSCs). While recurrent mutations are known to associate with adverse outcomes in myelodysplastic syndrome (MDS), 10% of MDS cases have no known genetic indicators for survival prognosis. Whole genome sequencing (WGS) detects comprehensive mutations on coding and non-coding regions that empowers discovery of novel genetic biomarkers. METHODS We conducted WGS at 60x read depth on 494 MDS patient subjects and scanned genome-wide for novel somatic biomarkers associated with MDS post allogeneic hematopoietic cell transplantation (allo-HCT) outcomes. Forward and backward stepwise variable selection was performed, and important clinical covariables were integrated into multivariate Cox proportional hazard models for survival outcome association tests. To test for associations with overall survival (OS), we conducted burden tests of somatic variants by summing the number of somatic nonsynonymous (missense, nonsense, splice) mutations per gene and testing for association with OS. For non-coding regions, we applied a sliding window approach, summing somatic mutations within each 10kb window and testing for association with OS. Furthermore, to distinguish potentially novel biomarkers from mutations in known MDS prognostic genes, we re-ran our association analyses considering only those MDS subjects with no known mutations in previously-identified prognostic genes for post allo-HCT survival(including TP53, RAS, JAK2, TET2, EZH2, ETV6, RUNX1, DNMT3A and ASXL1). RESULTS Genome-wide analyses of somatic coding variants on OS identified two statistically significant associations (Figure 1A I); one at TP53 (hazard ratio [HR], 2.19; 95% confidence intervals [CI] 1.48-2.75; P = 1.51e-06) and the other at HCN2 (HR, 5.84; 95% CI 2.38-14.34; P=1.18E-04). When we restricted our analyses to those patients with no mutations in known prognostic genes (N=301), we found one statistically significant candidate at DDX11 (HR, 3.74; 95% CI 1.87-7.47; P=1.83E-04). When we expanded our analyses to include non-coding somatic variants, we observed five additional significant genes (Figure 1A II, IV) including CHD1 (HR, 7.31; 95% CI 3.33-16.08; P=7.45E-07) that was significantly associated with post allo-HCT OS in the patient subset with no known mutations. Meta-analyses of OS using TCGA lymphoma and AML/MDS data provided validation that DDX11 and CHD1 mutations are associated with poor overall survival in hematopoietic malignancies (data not shown). Interestingly, many of the candidates from these analyses (e.g., DDX11, CHD1, RASGRF1 and ARHGEF7) are involved in DNA repair pathways. Gene set enrichment analyses confirmed that our association results are enriched a TP53-centered networks (p value: 0.0042, Figure 1B). Besides the novel candidates, a known MDS prognostic gene TP53 was replicated by our nonbiased screening approach. Co-occurrence of TP53 mutation and complex karyotypes, as well as high VAF of TP53 mutations in our MDS cohort were highly associated with poor post allo-HCT OS (data not shown). MDS patients with TP53, DDX11 and CHD1 mutations were overrepresented in samples with complex karyotypes. CONCLUSIONS Overall, through WGS of samples obtained at the time of allo-HCT, we identified two novel genetic prognostic biomarkers, DDX11 and CHD1 mutations, which were associated with inferior post allo-HCT OS. These results once validated could contribute to personalized risk assessments of post HCT outcomes for MDS patients. Figure 1 Figure 1. Disclosures Saber: Govt. COI: Other.


2020 ◽  
Vol 4 (19) ◽  
pp. 4798-4801
Author(s):  
Ibrahim Aldoss ◽  
Joo Y. Song ◽  
Peter T. Curtin ◽  
Stephen J. Forman

Key Points A patient with myelodysplastic syndrome was transplanted twice and developed clonally unrelated relapse each time in donor-derived cells. This case supports the concept that a leukemogenic marrow environment may predispose the transplant recipient to malignant transformation.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3421-3421
Author(s):  
Daniela Heidenreich ◽  
Sebastian Kreil ◽  
Klaus-Peter Becker ◽  
Thomas Miethke ◽  
Wolf-Karsten Hofmann ◽  
...  

Abstract Multidrug-resistant bacterial pathogens (MRP) such as extended-spectrum beta-lactamase producing enterobacteriaceae (ESBL), vancomycin-resistant enterococci (VRE), methicillin-resistant Staphylococcus aureus (MRSA) and multi-resistant Pseudomonas aeruginosa (P. aeruginosa) are an emerging challenge in allogeneic hematopoietic cell transplantation (HCT). However, no comprehensive data are available on the prevalence of MRP, their impact on the outcome after HCT and on the probability to clear a MRP. It was the purpose of this study to systematically analyze the issue of MRP in HCT. PATIENTS AND METHODS: From 07/2010 to 12/2015 a total number of 121 (43 F; 78 M) consecutive patients who received the first allogeneic HCT at our institution were analyzed retrospectively. As baseline investigation before conditioning all patients underwent a comprehensive screening for MRP. Swabs from nose, throat, axilla, urethra and anus as well as samples from stool and urine were collected. During the course of transplantation surveillance cultures were performed weekly. In addition, routine microbiological investigations were done from blood, urine, swabs, stool or central venous catheters whenever clinically needed. In MRP colonized patients surveillance stool specimen were taken until the MRP was repeatedly non-detectable. Multidrug-resistant gram neg. bacteria were categorized as 4MRGN (resistant to cephalosporins, piperacillin, fluorochinolones and carbapenems) or as 3MRGN (resistant to 3 of these 4 antimicrobial drug groups). The primary endpoint of this analysis was day 100 non relapse mortality (NRM). Secondary endpoints were NRM and overall survival (OS) after 2 years. A further endpoint in MRP+ patients was the time to non-detectability of the MRP. RESULTS: The patient characteristics were as follows: Underlying diseases were AML (62), ALL (7), CML (8), MPN (5), lymphoma (9), MDS (25), and multiple myeloma (5). The conditioning regimen was myeloablative in 50, reduced intensity in 71 patients. Patients were transplanted with peripheral blood stem cells (105) or bone marrow (16) from matched siblings (28), matched unrelated (67), mismatched (15) or haploidentical donors (11). 33 patients (27%) were colonized by at least one MRP (MRP+ group) either at baseline (baseline MRP+ group, n=18, 15%) or at any other time point until day 100 post HCT. The 33 MRP+ group patients were colonized by 42 MRP (baseline MRP+ group: 19 MRP). Detected MRP were 3MRGN E. coli or Klebsiella pneumonia (17), 4MRGN (9) or 3MRGN (2) P. aeruginosa, multi-resistant Stenotrophomonas maltophilia (2), 3MRGN Citrobacter freundii (1), 3MRGN Acinetobacter baumanii (1), 4MRGN Enterobacter cloacae (2), VRE (7) and MRSA (1). Out of these 33 patients 12 (36%) developed an infection with an MRP after HCT: septicemia (n=9), pneumonia caused either by 3MRGN Klebsiella (n=1) or by 4MRGN P. aeruginosa (n=1) and urinary tract infection by 4MRGN Enterobacter cloacae (n=1). 5 patients died MRP related due to septicemia (4MRGN P. aeruginosa n=4, VRE n=1). However, day 100 and 2-year NRM of MRP colonized vs non-colonized patients were essentially the same: 15 and 21% vs 15 and 24%, respectively. Even for the baseline MRP+ group there was no significant difference of NRM: 17 and 29% vs 15 and 22%. Overall survival was also not impaired in the MRP+ group 2 years post HCT (median follow up 32.4 months, range 7.5 to 71.4 months): MRP colonized versus non-colonized patients: 60 vs 55% (baseline MRP+ group 54 vs 58%). Out of the 33 MRP+ group patients 21 patients were able to clear the MRP. On day 100 after HCT 36% of patients had been able to clear the MRP. Median time to non-detectability of the MRP was 6.3 months. In 12 patients the MRP did not disappear until the end of the observation period or death (median follow up 15 months). There was a highly significant (p<0.0001) survival difference between patients who cleared the MRP vs those with MRP persistence. Whereas 17 out of 21 (81%) patients who cleared the MRP survived, only 2 out of 12 patients with MRP persistence stayed alive (median survival 6.6 months). Day 100 NRM was 4 vs 42% (p=0.0023). CONCLUSIONS: Since colonization by MRP had no neg. impact on the outcome in our cohort HCT of MRP colonized patients is feasible. However, the outcome of patients who do not clear their MRP is dismal. In order to increase the probability to clear the MRP we suggest to review the use of antibiotics in MRP colonized patients critically. Disclosures No relevant conflicts of interest to declare.


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