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In: The Lancet Haematology, Elsevier BV, Vol. 10, No. 7 ( 2023-07), p. e495-e509

Type of Medium: Online Resource

ISSN: 2352-3026

URL: Article

DOI: 10.1016/S2352-3026(23)00089-3

Language: English

Publisher: Elsevier BV

Publication Date: 2023

In: Atlas Journal of Biology, Atlas Publishing, LLC, ( 2020-12-13), p. 724-729

Abstract: In the digital radiology system, radiologic technologists (RTs) can choose imaging parameters to include kVp and mAs. The RTs received feedback after acquisition of an image in the form of Exposure Index (EI). The aim of the current study was to check if the EI values are within the range values recommended by the manufacturer (MREI) for radiological examinations that include the chest, abdomen, pelvis, spine, and extremities. Data was collected from 3,000 adult X-ray examinations taken from several government hospitals in Palestine. The information included patient gender, kVp, mAs, EI values, and examination time. All examinations included in the study used the grid. While the study excluded all images that contained an implant or prosthesis. Descriptive statistical analysis was used to analyze the data, while the Mann–Whitney U test was used to detect statistically significant differences, P 〈 0.05. Some examinations showed the EI values outside the MREI ranges. The EIs in the chest AP examination were higher in the female group than males while other examinations have no difference between males and females. The EIs out of working hours were higher than in working hours, especially in the chest (P 〈 0.0001), abdominal (P 〈 0.0001), pelvic (P =0.02), and spine (P =0.0005) exams. In the summary, it has been proven that some of the examinations are outside the MREIs, with differences between the patient gender and the time of the examination. The retrospective study for the exposure index is very important in reducing the risk of radiation to patients.

Type of Medium: Online Resource

ISSN: 2158-9151

URL: Article

DOI: 10.5147/ajb.vi.219

Language: Unknown

Publisher: Atlas Publishing, LLC

Publication Date: 2020

detail.hit.zdb_id: 2635686-7

In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 224-224

Abstract: Background: Clonal hematopoiesis of indeterminate potential (CHIP) is defined by the detection of mutations in genes like DNA methyltransferase 3A (DNMT3A) and has recently been described to occur in healthy people and to predispose them to myeloid malignancies. DNMT3A is frequently mutated in acute myeloid leukemia (AML) and mutations have been detected in CD3 positive T-cells of some AML patients. In these patients DNMT3A mutations are early events that are likely to arise from CHIP. It is unknown how a history (hx) of CHIP influences the characteristics of AML patients and their response to therapy. We studied this question on the basis of a large cohort of DNMT3A mutated AML patients. Patients and Methods: 171 DNMT3A mutated AML patients (aged 18-87 years) were included in our study. 127 patients were treated intensively in trials of the AMLSHG and AMLSG. 34 patients received non-intensive therapy and for 10 patients the therapy is unknown. 148 patients carried a mutation at arginine R882. At the time of diagnosis and relapse samples were further sequenced for 54 genes involved in leukemia with next generation sequencing (NGS) on the Illumina platform. Library preparation of diagnostic samples was performed with the TruSight Myeloid sequencing panel (Illumina). T-cells (CD3+ CD11b- CD14- CD33-) were purified by flow cytometry from AML samples at the time of diagnosis. DNMT3A mutational analysis of T-cell samples and of mononuclear cells during remission or at relapse was performed also with ultra-deep sequencing using customized DNMT3A NGS primers. Presence of a DNMT3A mutation in sorted T cell populations was used as an indicator of a hx of CHIP. Results: A total of 40 patients (23%) were found to have the DNMT3A mutation in mononuclear cells and T-cells (hx of CHIP), while 131 patients (77%) had a DNMT3A mutation in mononuclear cells, but not T-cells (control cohort). Comparing these two patient cohorts revealed that significantly more patients in the hx of CHIP cohort had secondary AML (p=0.009), were older (p=0.005) and less likely to receive intensive treatment (p=0.047) while other clinical parameters did not significantly differ. Analysing the mutational profile of 54 genes revealed that the number of mutations per patient between these 2 groups was similar (median 5 vs 4 mutations, p=0.39). Patients with a hx of CHIP were significantly more likely to harbour mutations in TET2 (p=0.006), RUNX1 (p=0.004), SF3B1 (p=0.049), U2AF1 (p=0.015) but less likely to be NPM1 mutated (p=0.005). There was no significant difference in the allelic burden of DNMT3A in the CHIP hx (mean 43.6) vs control group (mean 44.5). The mean variant allele frequencies of DNMT3A, RUNX1 and NPM1 were highest (44, 45 and 43 respectively) as compared to other mutated genes like IDH1, IDH2 and FLT3 (32, 37 and 34). In relapse samples (n=11), the identical DNMT3A mutation could always be identified. However, patients with a hx of CHIP (n=2) had comparable allelic frequencies compared to diagnosis of mutated DNMT3A ( 〈 10% difference), but not NPM1 ( 〉 10% difference), while 7 out of 9 patients in the control group had a change in the allelic frequency at the time of relapse (mostly reduction). In all remission samples DNMT3A mutations could be identified with ultra-deep NGS but with variable allelic frequencies (0.13-50.01% in the control group, 0.25-70.14% in the hx of CHIP group). In the cohort of patients with intensive therapy there was no difference in CR rates between hx of CHIP and control groups (82 vs 90%, p=0.31). Overall survival (OS) was not influenced by a hx of CHIP (whole cohort: HR 1.09; 95%CI 0.67-1.79; P=.73; intensively treated cohort: HR 0.72; 95%CI 0.34-1.51; P=.38). Relapse-free survival (RFS) was also not different in the hx of CHIP vs the control group (HR 1.06; 95%CI 0.58-1.93; P=.85; intensively treated cohort only HR 0.91; 95%CI 0.46-1.78; P=.78). However, when looking at the influence of allogeneic stem cell transplantations (HSCT) on outcome in intensively treated patients, patients with a hx of CHIP showed abenefit from HSCT (HR 0.082; 95%CI 0.009-0.75; P= 0.027 Figure 1A) as compared to the control group (HR 0.68; 95%CI 0.39-1.21; P= 0.19, Figure 1B). Conclusion: AML patients with a hx of CHIP, as defined by mutated DNMT3A in T-cells, show a distinct clinical and molecular profile and may benefit from HSCT. Figure 1A. Figure 1A. Figure 1B. Figure 1B. Disclosures Bug: TEVA Oncology, Astellas: Other: Travel Grant; NordMedica, Boehringer Ingelheim, Gilead: Membership on an entity's Board of Directors or advisory committees; Celgene, Novartis: Research Funding. Fiedler:Pfizer, Amgen, Kolltan: Research Funding; Teva, Amgen, Astellas: Other: Travel Grant; Karyopharm: Research Funding. Schlenk:Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Research Funding; Arog: Honoraria, Research Funding; Teva: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V126.23.224.224

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2815-2815

Abstract: Background: Standard therapy of acute promyelocytic leukemia has long relied on the combination of All-trans-retinoic acid (ATRA) and chemotherapy. The introduction of arsenic trioxide (ATO) in APL treatment has allowed achievement of similarly high remission and survival rates coupled with significantly reduced myelosuppression. Recent results of the APL0406 trial by the GIMEMA-AMLSG-SAL study groups showed that the combination of ATRA and arsenic trioxide (ATO) is superior to standard ATRA and chemotherapy (CHT) in front-line therapy of low/intermediate risk acute promyelocytic leukemia (APL). The implications of these results for the clinical practice of APL patients in Germany have been uncertain given the fact that ATO is not formally licensed for front-line therapy of APL. Aim:In order to provide evidence and a reflection of the clinical reality of APL patient care in Germany an intergroup APL registry (National acute promyelocytic leukemia (APL) observational study, NAPOLEON) was recently initiated by several AML study groups. Methods:Eligible patients are adults at least 18 years of age with newly diagnosed or relapsed APL not beyond the first year of diagnosis. Here we report the first analysis on the series of patients prospectively enrolled into this registry. The study was conducted in accordance with the Declaration of Helsinki, received IRB approval by all participating centers and was registered at ClinicalTrials.gov (NCT02192619). Results: As of August 1st 2016, 88 patients have been included into the study with a median age of 57 years (range 22-87). All had newly diagnosed APL (100%) with 66% (n=58) being of low/intermediate risk according to the Sanz score. Out of those patients 76% (n=44) received an ATO-ATRA based induction regimen followed by a median of 4 courses of consolidation (according to the APL 0406 study).Of 41 patients evaluable for response to induction, 40/41 (98%) patients achieved complete remission (CR) with the ATRA-ATO arms. Early death rate within 30 days of therapy was 2% (1/44). After a median follow-up of 12 months, the event-free survival, cumulative incidence of relapse and overall survival at 12 months for these patients were 97%, 0% and 97%, respectively. Therapy was well tolerated and no new safety signals have been obtained. Conclusion:These real life data from a prospective German registry provide further evidence for the safety and sustained anti-leukemic efficacy of ATRA-ATO in low/intermediate risk APL. These results further support ATRA-ATO as the new standard of care in this clinical setting. Table Demographic, clinical and laboratory characteristics of the eligible patients. Table. Demographic, clinical and laboratory characteristics of the eligible patients. Disclosures Platzbecker: TEVA: Honoraria, Research Funding. Greiner:BMS: Research Funding. Thiede:AgenDix: Employment, Other: Ownership. Hochhaus:BMS: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; ARIAD: Honoraria, Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V128.22.2815.2815

Language: English

Publisher: American Society of Hematology

Publication Date: 2016

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3818-3818

Abstract: Background: The ASXL2 (Additional Sex comb-like 2) gene on chromosome 2p23.3 encodes an epigenetic regulator that is thought to act through histone modification and thereby regulating gene transcription in a context-dependent manner. Recently, ASXL2 mutations (ASXL2mut) were found with a high incidence (~23%) in a cohort of 110 pediatric or adult AML patients (pts) with t(8;21)(q22;q22) (Micol et al., Blood 2014). Aim: We assessed the frequency and prognostic impact of ASXL2mut in the context of other clinical and genetic factors in a large clinically well-defined cohort of intensively treated adults with t(8;21) AML. In addition, the stability of ASXL2 mutation status was analysed in a subset of pts at the time of relapse. Methods: Diagnostic samples from 204 adults with t(8;21);RUNX1/RUNX1T1 -positive AML [median age: 49 years, range: 18-82] were analysed for ASXL2mut in exon 11 and 12 using a combination of PCR-based amplification and subsequent direct DNA-sequencing. Paired samples at diagnosis and relapse were evaluated for the ASXL2 mutation status in a subset of 22 pts. Additional mutation analyses were performed for KIT, FLT3 (ITD and TKD), NRAS, and ASXL1 genes. All pts received intensive treatment either within AMLSG trials (n=155) or according to standard chemotherapy regimens. Results: Thirty four ASXL2mut were identified in 33 (16.2%) of the 204 pts. All mutations (frame-shifts, n=32; non-sense, n=2) created stop codons leading to premature protein truncation with loss of the terminal PHD domain; 27% of the mutations affected codon T740 in exon 12. At diagnosis, there was no significant difference between pts with ASXL2mut and ASXL2 wildtype (ASXL2wt) with respect to sex, WBC, haemoglobin, platelets, LDH serum levels, and circulating or bone marrow blasts. Of note, ASXL2mut were not associated with increasing age, a finding which is commonly observed for ASXL1 mutations in AML. In terms of secondary chromosome aberrations ASXL2mut were frequently associated with del(9q) (P=.006), whereas they never co-occurred with trisomy 8. There was no significant association between ASXL2mut and all other gene mutations analysed. Analysis for ASXL2 mutation status in 22 paired samples obtained at diagnosis and relapse showed a high stability since the mutation was still present in two pts at relapse whereas none of the remaining 20 ASXL2 wildtype cases acquired ASXL2mut. There was no difference in complete remission (CR) rate after double induction between pts with ASXL2mut (88%) and those with ASXL2wt (92%); the same was true when comparing pts with ASXL1 or ASXL2 mutations (ASXL1/2mut) as one group (93%) versus those with ASXL1/2 wildtype. Neither ASXL2mut nor ASXL1/2mut did impact the endpoints event-free-survival, cumulative incidence of relapse, relapse-free and overall survival. Conclusions: Beside KIT and NRAS, ASXL2 is among the most frequently mutated genes in t(8;21) AML. ASXL2mut did not impact achievement of CR or any survival endpoint. Nevertheless, the high incidence (16.2%) of ASXL2mut in t(8;21) AML and the exclusivity to this subgroup of core-binding factor AML implies a peculiar role of ASXL2 in the leukemogenesis of t(8;21) AML providing a basis for further studies. Disclosures Horst: MSD: Research Funding; Pfizer: Research Funding; Amgen: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Boehringer Ingleheim: Research Funding. Schlenk:Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Boehringer-Ingelheim: Honoraria; Arog: Honoraria, Research Funding; Teva: Honoraria, Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V126.23.3818.3818

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 2740-2740

Abstract: Background: Acute myeloid leukemia (AML) with t(8;21)(q22;q22.1) resulting in the RUNX1-RUNX1T1 gene fusion is considered favorable in the 2017 genetic risk stratification by the European LeukemiaNet (ELN). After intensive chemotherapy most patients (pts) achieve complete remission (CR), but relapse occurs in about 50% and is associated with poor prognosis. In this AML subgroup monitoring of measurable residual disease (MRD) has been shown to identify pts at higher risk of relapse. Aims: To assess the prognostic impact of MRD monitoring in bone marrow (BM) and peripheral blood (PB) in a large cohort of 155 clinically well-annotated t(8;21)-AML pts enrolled in one of six AMLSG treatment trials. Methods: RT-qPCR was used to quantify RUNX1-RUNX1T1 transcript levels (TL) reported as normalized RUNX1-RUNX1T1 values per 106 transcripts of the housekeeping gene B2M. Samples were analyzed in triplicate, the sensitivity was up to 10-6. Results: While pretreatment RUNX1-RUNX1T1 TL did not impact prognosis, both reduction of RUNX1-RUNX1T1 TL and achievement of MRD negativity (MRDneg) at end of treatment (EOT) were of significant prognostic importance in BM as well as in PB: MR2.5 ( 〉 2.5 log reduction) after treatment cycle 1 and MR3.0 after cycle 2 were significantly associated with a reduced relapse risk (MR2.5, BM: P=.034; PB: P=.008 and MR3.0, BM: P=.028; PB: P=.036, respectively). After completion of therapy, MRDneg was an independent favorable prognostic factor for cumulative incidence of relapse (CIR) (4-year CIR BM: 17% vs 36%, P=.021; PB: 23% vs 55%; P=.001) and overall survival (OS) (4-year OS rate BM: 93% vs 70%, P=.007; PB: 87% vs 47%; P 〈 .0001). Moreover, maximally selected Gray´s statistic defined specific MRD cut-offs at EOT associated with a lower relapse risk: 〈 83 RUNX1-RUNX1T1 TL in BM and 〈 5 in PB predicted for superior 4-year CIR (BM: 18% vs 61%; P 〈 .0001; PB: 23% vs 65%; P 〈 .0001). During follow-up serial MRD analyses allowed prediction of relapse in 77% of pts exceeding an arbitrary cut-off of 150 RUNX1-RUNX1T1 TL in BM and in 84% of pts with 〉 50 TL in PB, respectively. KIT mutation observed in 28% of pts predicted for lower CR rate and inferior outcome, but its prognostic impact was outweighed by RUNX1-RUNX1T1 TL during treatment. To determine whether PB could provide similar prognostic information as BM, we compared 680 paired samples (diagnosis, n=125; after cycle 1, n=80; after cycle 2, n=86; at EOT, n=78; during follow-up, n=311). At diagnosis RUNX1-RUNX1T1 TL tended to be slightly higher in BM than in PB (P=.072), but were significantly higher after cycle 1 (P=.008), cycle 2 (P 〈 .001), at EOT (P=.002), and during follow-up (P 〈 .001). RUNX1-RUNX1T1 TL in BM and PB correlated well (r=.87; P 〈 .0001) with on average 1-log lower values in PB. However, 2.5%, 26.7%, 26.9%, and 24.8% of all pairs were discrepant (BMpos/PBneg or BMneg/PBpos) after cycle 1, cycle 2, at EOT, and during follow-up. Of 104 PBneg samples obtained during treatment, 46 (44%) were still BMpos. In the post-treatment period, this fraction decreased to 28% (77 BMpos/276 PBneg pairs) (P=.003). Of note, RUNX1-RUNX1T1 TL in all but four of the 77 (5.2%) BMpos samples were below the cut-off of 150 TL. Virtually all relapses occurred within one year after EOT with a very short latency from molecular to morphologic relapse strongly suggesting to perform MRD assessment at short intervals during this period. Based on our data we refined the practical guidelines for MRD assessment in RUNX1-RUNX1T1-positive AML: i) along with the current ELN MRD recommendations, BM and PB should be analyzed after each treatment cycle; ii) during the follow-up period, in particular the first year after EOT, MRD monitoring in PB should be performed monthly; in pts with TL 〉 50 in PB, increase of MRD TL 〉 1-log, and/or conversion from MRDneg to MRDpos a complementary BM samples should be analyzed timely. Summary: RUNX1-RUNX1T1 MRD monitoring allows for the discrimination of pts at high and low risk of relapse. MRDneg in both BM and PB after completion of therapy was the most valuable independent favorable prognostic factor for relapse risk and OS. During follow-up, serial MRD analyses allowed the definition of cut-offs predicting relapse. Moreover, considering that virtually all relapses occurred within the first year after EOT with a very short latency from molecular to morphologic relapse MRD assessment in PB at shorter intervals during this period is indispensable. Disclosures Weber: Celgene Corporation: Research Funding. Schroeder:Celgene Corporation: Consultancy, Honoraria, Research Funding. Götze:AbbVie: Membership on an entity's Board of Directors or advisory committees. Fiedler:Amgen, Pfizer, Abbvie: Other: Support in medical writing; Amgen, Pfizer, Novartis, Jazz Pharmaceuticals, Ariad/Incyte: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Amgen, Jazz Pharmaceuticals, Daiichi Sanchyo Oncology, Servier: Other: Support for meeting attendance. Greil:Gilead: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; MSD: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Sandoz: Honoraria. Krauter:Pfizer: Honoraria. Bullinger:Amgen: Honoraria; Astellas: Honoraria; Gilead: Honoraria; Daiichi Sankyo: Honoraria; Hexal: Honoraria; Janssen: Honoraria; Jazz Pharmaceuticals: Honoraria; Menarini: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; Abbvie: Honoraria; Bayer: Other: Financing of scientific research; Sanofi: Honoraria; Seattle Genetics: Honoraria; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria. Paschka:Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Speakers Bureau; Jazz: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Other: Travel expenses, Speakers Bureau; Agios: Membership on an entity's Board of Directors or advisory committees; Amgen: Other: Travel expenses; Otsuka: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Travel expenses; Janssen: Other: Travel expenses; Abbvie: Other: Travel expenses; Sunesis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Speakers Bureau; Astex: Membership on an entity's Board of Directors or advisory committees, Travel expenses; Astellas: Membership on an entity's Board of Directors or advisory committees. Döhner:AbbVie, Agios, Amgen, Astellas, Astex, Celator, Janssen, Jazz, Seattle Genetics: Consultancy, Honoraria; Celgene, Novartis, Sunesis: Honoraria, Research Funding; AROG, Bristol Myers Squibb, Pfizer: Research Funding. Döhner:Celgene: Honoraria; Janssen: Honoraria; CTI Biopharma: Consultancy, Honoraria; Daiichi: Honoraria; Jazz: Honoraria; Novartis: Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2019-125584

Language: English

Publisher: American Society of Hematology

Publication Date: 2019

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 227-227

Abstract: Background: Nucleophosmin (NPM1mut) mutations represent one of the most common gene mutations in acute myeloid leukaemia (AML) and can be used for monitoring minimal residual disease (MRD). In a former study, we could define clinical relevant check-points and a cut-off value to identify patients (pts) at high risk of relapse. Aims: To confirm our previous results on the clinical relevance of NPM1mut transcript levels (TL) in an extended cohort of younger AML pts (18 to 60 years) harbouring NPM1mut type A, B, C, D, JT, 4, QM, NM or KM, and to assess the impact of concurrent FLT3 internal tandem duplications (ITD) and DNMT3A (DNMT3Amut) mutations on NPM1mut TL kinetics. Methods: All pts were enrolled in one of four AMLSG [AMLHD98A (n=46; NCT00146120); AMLSG 07-04 (n=199; NCT00151242); AMLSG 09-09 (n=179; NCT00893399); AMLSG 16-10 (n=75; NCT01477606)] treatment trials. Treatment comprised double induction therapy (DI) with ICE (idarubicin, cytarabine, etoposide) with or without ATRA or gemtuzumab ozogamicin, or 1 cycle of daunorubicin and cytarabine followed by 1 to 4 cycles of high-dose cytarabine (n=292), autologous (n=19) or allogeneic stem cell transplantation (n=141). NPM1mut TL (ratio of NPM1mut/ABL1 transcripts x 104) were determined by RQ-PCR using TaqMan technology; the sensitivity of the assays was 10-5 to 10-6. DNMT3A and FLT3 -ITD (FLT3 -ITDmut) mutation status was assessed by standard PCR-based methods. Results: A total of 2835 samples from 499 NPM1mut pts were analysed at diagnosis (n=439), after each treatment cycle (n=1394) and during follow-up (FU) (n=1002). Peripheral blood (PB) samples were only included in the advanced FU period (defined as at least 12 months after completion of therapy). NPM1mut TL at diagnosis varied between 7.03 x103 and 2.38 x 107 (median 5.37 x 105). Pretreatment NPM1mut TL were not associated with clinical characteristics (e.g., age, WBC, BM blasts, FLT3 -ITDmut, DNMT3Amut) with the exception of LDH level (p=0.006) and did not impact event-free survival (EFS), relapse-free (RFS) and overall survival (OS). NPM1mut TL as log 10 transformed continuous variable at different time points during therapy were significantly associated with shorter remission duration (RD) and shorter OS. After DI therapy, the cumulative incidence of relapse (CIR) at 4 years was 10% for RQ-PCR-negative pts (n=41) versus 45% for RQ-PCR-positive pts (n=226) (p 〈 0.0001); the lower CIR translated into a significant better OS (92% versus 60%, respectively; p=0.001). After completion of therapy, CIR at 4 years was 13% for RQ-PCR-negative pts (n=126) and thus significantly lower compared with 56% in RQ-PCR-positive pts (n=139; p 〈 0.00001). Again, the lower CIR translated into a significantly better OS (81% versus 55%, respectively; p 〈 0.00001). Multivariable analysis performed at both time points showed that NPM1mut TL were significantly associated with a shorter RD (HR, 1.86; 2.30, respectively) and shorter OS (HR, 1.58; 1.72, respectively). During FU, 1002 bone marrow (BM) and PB samples from 280 pts were analysed. The relapse rate at 2 years for pts exceeding the previously defined cut-off value of 〉 200 NPM1mut copies was 90% with a median time to relapse of 1.38 months. In contrast, only 6/104 pts with sustaining RQ-PCR negativity relapsed. Finally, we evaluated the impact of concurrent FLT3 -ITDmut and DNMT3Amut on kinetics of NPM1mut TL. Following the first induction cycle, the median NPM1mut TL was significantly lower in pts with the NPM1mut/FLT3 -ITDwildtype/DNMT3Awildtype genotype compared to pts with the genotype NPM1mut/FLT3 -ITDmut/DNMT3Amut. This effect could be observed throughout subsequent treatment cycles. Conclusions: The results of our analysis on an extended cohort of younger AML pts with NPM1mut highly confirmed the two clinically relevant MRD check-points, after DI and after completion of therapy; during the FU period, exceeding a cut-off value of 〉 200 TL was highly predictive for relapse. Finally, we found a significant impact of concurrent FLT3 -ITDmut/DNMT3Amut on the kinetics of NPM1mut TL. Disclosures Fielder: Amgen: Other: Congress Participation; Teva: Other: Congress Participation; Kolltan: Research Funding; Amgen: Research Funding; Pfizer: Research Funding; Astellas: Other: Congress Participation. Horst:Boehringer Ingleheim: Research Funding; MSD: Research Funding; Pfizer: Research Funding; Gilead: Honoraria, Research Funding; Amgen: Honoraria, Research Funding. Götze:Celgene Corp.: Honoraria; Novartis: Honoraria. Schlenk:Pfizer: Honoraria, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Teva: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Arog: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V126.23.227.227

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 2010-2013

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-166084

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Pediatric Research, Springer Science and Business Media LLC, Vol. 82, No. 5 ( 2017-11), p. 796-800

Type of Medium: Online Resource

ISSN: 0031-3998 , 1530-0447

URL: Article

DOI: 10.1038/pr.2017.164

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2017

detail.hit.zdb_id: 2031217-9

SSG: 12

In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)

Abstract: Patients with hematological malignancy or other cancers as well as immunosuppression bear a high risk for severe COVID-19. Monoclonal antibodies (mAb) are efficient at early stages of the disease but may lose potency with new variants. Trials on plasma from convalescent donors in unselected patients have not shown clinical benefit. No randomized trials focussing on patients with underlying disease have been published. Methods We conducted an open-label, multicenter, randomized controlled trial to evaluate efficacy of plasma (CVP - convalescent or after vaccination) in patients with COVID-19 at high risk for adverse outcome in Germany. We assessed the effect of high-titer CVP (2 units from different donors, 238-337 ml each, on subsequent days). Patients with hematological or other malignancy (group 1), immunosuppression (group 2), age & gt;50 and ≤75 years and lymphopenia and/or high D-dimers (group 3) or age & gt;75 years (group 4) who were hospitalized with confirmed SARS-CoV-2 infection and with an oxygen saturation ≤94% were included. Primary outcome measure was time to clinical improvement on a seven-point ordinal scale, secondary outcome was mortality (Janssen et al. Trials 2020 Oct 6;21(1):828). Results Overall, 133 patients were randomized, 68 received CVP with an additional 10 patients as a crossover on day 10. Median age (range) was 68 years (39-95) in the CVP group and 70 (38-90) in controls. For the entire cohort, no significant difference was seen in time to improvement (median days: CVP 12.5 vs. control 18; HR 1.24 (95% confidence interval (CI) 0.83-1.85), p=0.29). Subgroup analysis (group 1+2) revealed shortened time to improvement (median days CVP 13 vs. control 32; HR 2.03 (95%CI 1.17-3.6), p=0.01) and mortality was reduced (mortality CVP n=6 (18%) vs. control n=10 (29%). No significant differences in time to improvement were observed in group 3 or 4 (HR 0.72 (95%CI 0.41-1.28), p=0.26). No relevant adverse events were observed. Conclusion CVP improves time to clinical improvement and mortality for COVID-19 patients with underlying hematological disease/cancer or other reasons of impaired immune response. Even with new variants, high-titer CVP may offer a widely available and inexpensive therapy option in high-risk groups. Funding BMBF FKZ 01KI20152; EudraCT 2020-001632-10. Disclosures Uta Merle, MD, Gilead: Sponsored congress travel and accommodation Markus Weigand, MD, Bbraun: Speakers fee/ad boards fee|Biotest: Speakers fee/ad boards fee|Eumedica: Speakers fee/ad boards fee|Gilead: Speakers fee/ad boards fee|MSD: Speakers fee/ad boards fee|Pfizer: Speakers fee/ad boards fee|Shionogi: Speakers fee/ad boards fee|SOBI: Speakers fee/ad boards fee Martin Bornhäuser, MD, Alexion: Honoraria|Jazz Pharmaceuticals: Honoraria|MSD: Honoraria|Novartis: Honoraria Nael Alakel, MD, Amgen: personal fee, travel grant|Gilead: personal fee, travel grant|MSD Sharp and Dohme GmbH: personal fee, travel grant|Pfizer: personal fee, travel grant Timo Wolf, MD, Gilead Sciences: Lecture fee, travel grant|Janssen Pharmaceuticals: Lecture fee, travel grant|Merck Sharp Dome: Lecture fee, travel grant Maria Vehreschild, Prof. Dr., 3M: speaker fee|Astellas: Advisor/Consultant|Astellas: speaker fee|biologische heilmittel heel gmbh: Grant/Research Support|BioNtech: Grant/Research Support|EUMEDICA: Advisor/Consultant|Farmak International Holding: Advisor/Consultant|Ferring: Advisor/Consultant|Ferring: Speaker fee|Gilead Sciences: Advisor/Consultant|Immunic AG: Advisor/Consultant|MaaT: Advisor/Consultant|Merck: Advisor/Consultant|Merck: speaker fee|MSD: Advisor/Consultant|MSD: Grant/Research Support|MSD: speaker fees|Pfizer: speaker fee|Roche Molecular Systems: Grant/Research Support|Roche Molecular Systems: speaker fees|SocraRTec R & D GmbH: Advisor/Consultant|Takeda California: Grant/Research Support Hanns-Martin Lorenz, MD, Abbvie: Advisor/Consultant|Abbvie: Honoraria|Actelion: Advisor/Consultant|Actelion: Honoraria|Alexion: Advisor/Consultant|Alexion: Honoraria|Amgen: Advisor/Consultant|Amgen: Grant/Research Support|Astra Zeneca: Advisor/Consultant|Astra Zeneca: Honoraria|Baxter: Advisor/Consultant|Baxter: Advisor/Consultant|Baxter: Honoraria|Baxter: Honoraria|Bayer Vital: Advisor/Consultant|Bayer Vital: Honoraria|Biogen: Advisor/Consultant|Biogen: Honoraria|BMS: Advisor/Consultant|BMS: Honoraria|Boehringer Ingelheim: Advisor/Consultant|Boehringer Ingelheim: Honoraria|Celgene: Advisor/Consultant|Celgene: Honoraria|Fresenius: Advisor/Consultant|Fresenius: Honoraria|Genzyme: Advisor/Consultant|Genzyme: Honoraria|Gilead/Galapagos: Advisor/Consultant|Gilead/Galapagos: Honoraria|GSK: Advisor/Consultant|GSK: Honoraria|Hexal: Advisor/Consultant|Hexal: Honoraria|Janssen-Cilag: Advisor/Consultant|Janssen-Cilag: Honoraria|Lilly: Advisor/Consultant|Lilly: Honoraria|Medac: Advisor/Consultant|Medac: Honoraria|MSD: Advisor/Consultant|MSD: Honoraria|Mundipharm: Advisor/Consultant|Mundipharm: Honoraria|Mylan: Advisor/Consultant|Mylan: Honoraria|Novartis: Advisor/Consultant|Novartis: Honoraria|octapharm: Advisor/Consultant|octapharm: Honoraria|Pfizer: Advisor/Consultant|Pfizer: Honoraria|Roche/Chugai: Advisor/Consultant|Roche/Chugai: Honoraria|Sandoz: Advisor/Consultant|Sandoz: Honoraria|Sanofi: Advisor/Consultant|Sanofi: Honoraria|Shire: Advisor/Consultant|Shire: Honoraria|SOBI: Advisor/Consultant|SOBI: Honoraria|Thermo Fisher: Advisor/Consultant|Thermo Fisher: Honoraria|UCB: Advisor/Consultant|UCB: Honoraria.

Type of Medium: Online Resource

ISSN: 2328-8957

URL: Article

DOI: 10.1093/ofid/ofac492.980

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2022

detail.hit.zdb_id: 2757767-3