Gangat, Naseema

Abstract The current retrospective study involving a total of 1607 patients was designed to identify clinical and molecular variables that were predictive of inferior myelofibrosis‐free survival (MFS) in WHO‐defined essential thrombocythemia (ET), utilizing three independent patient cohorts: University of Florence, Italy ( n = 718); Mayo Clinic, USA ( n = 479) and Policlinico Gemelli, Catholic University, Rome, Italy ( n = 410). The Florence patient cohort was first examined to identify independent risk factors for MFS, which included age > 60 years (HR 2.5, 95% CI 1.3–4.9), male sex (2.1, 1.2–3.9), palpable splenomegaly (2.1, 1.2–3.9), CALR 1/1‐like or MPL mutation (3.4, 1.9–6.1) and JAK2 V617F variant allele frequency > 35% (4.2, 1.6–10.8). Subsequently, an operational molecular risk category was developed and validated in the other two cohorts from Mayo Clinic and Rome: “high molecular risk” category included patients with JAK2 V617F VAF >35%, CALR type 1/1‐like or MPL mutations; all other driver mutation profiles were assigned to “low molecular risk” category. The former, compared to the latter molecular risk category, displayed significantly higher risk of fibrotic transformation: Florence cohort with respective fibrotic transformation risk rates of 8% vs. 1.2% at 10 years and 33% vs. 8% at 20 years ( p < 0.001; HR 6.1; 95% CI 3.2–11.7); Mayo Cohort, 16% vs. 7% at 10 years and 44% vs. 25% at 20 years ( p < 0.001; HR 2.5; 95% CI 1.6–4.1); and Rome cohort 7.8% vs. 4.6% at 10 years and 31.2% vs. 7.1% at 20 years ( p = 0.007, HR 2.7; 95% CI 1.3–5.8). The present study provides practically useful risk signals for fibrotic transformation in ET and facilitates identification of patients who require close monitoring and appropriate counseling.

AbstractGermline predisposition syndromes (GPS) result from constitutional aberrations in tumor suppressive and homeostatic genes, increasing risk for neoplasia in affected kindred. In this study, we present clinical and genomic data on 144 Mayo Clinic patients with GPS; 59 evaluated prospectively using an algorithm‐based diagnostic approach in the setting of a dedicated GPS/ inherited bone marrow failure syndrome (IBMFS) clinic. Seventy‐two (50%) patients had IBMFS (telomere biology disorders‐32,Fanconi anemia‐18, Diamond Blackfan Anemia – 11, congenital neutropenia–5, Schwachman‐Diamond Syndrome‐5 and Bloom Syndrome‐1), 27 (19%) had GPS with antecedent thrombocytopenia (RUNX1‐FPD‐15, ANKRD26‐6, ETV6‐2, GATA1‐1, MPL‐3), 28 (19%) had GPS without antecedent thrombocytopenia (GATA2 haploinsufficiency‐16, DDX41‐10, CBL‐1 and CEBPA‐1) and 17 (12%) had general cancer predisposition syndromes (ataxia telangiectasia‐7, heterozygous ATM variants‐3, CHEK2‐2, TP53‐2, CDK2NA‐1, NF1‐1 and Nijmegen Breakage Syndrome‐1). Homozygous and heterozygous ATM pathogenic variants were exclusively associated with lymphoproliferative disorders (LPD), while DDX41 GPS was associated with LPD and myeloid neoplasms. The use of somatic NGS‐testing identified clonal evolution in GPS patients, with ASXL1, RAS pathway genes, SRSF2 and TET2 being most frequently mutated. Fifty‐two (91%) of 59 prospectively identified GPS patients had a change in their management approach, including additional GPS‐related screening in 42 (71%), referral for allogenic HSCT workup and screening of related donors in 16 (27%), medication initiation and selection of specific conditioning regimens in 14 (24%), and genetic counseling with specific intent of fertility preservation and preconceptual counseling in 10 (17%) patients; highlighting the importance of dedicated GPS screening, detection and management programs for patients with hematological neoplasms.

SummaryInstitutional database search (1999–2020) for acute myeloid leukaemia (AML) identified 109 cases of myeloid sarcoma (MS), of which 19 were isolated and presented de novo. The latter displayed longer survival (median 78 months), compared to MS with synchronous intramedullary AML (n = 32; median 16 months) and de novo AML without MS (n = 729; median 22 months; P = 0·13). However, the difference in survival was no longer apparent after accounting for bone marrow cytogenetic risk status (P = 0·67). Treatment‐induced MS tumour resolution was not affected by the presence of intramedullary disease (P = 0·61). The current study clarifies the prognosis of de novo isolated MS, in the context of AML.

PURPOSE: The benefit of routine pre-emptive screening for severe acute respiratory syndrome coronavirus 2 infections in patients with cancer before cancer-directed therapies is unclear. Herein, we characterize the outcomes of a cohort of patients with cancer who were diagnosed with COVID-19 by routine screening (RS) in comparison with those diagnosed on the basis of clinical suspicion or exposure history (nonroutine screening [NRS]). METHODS: A multisite prospective observational study was conducted at three major and five satellite campuses of the Mayo Clinic Cancer Center between March 18 and July 31, 2020. The primary outcome was COVID-19–related hospital admission. Secondary outcomes included intensive care unit admissions and all-cause mortality. RESULTS: Five thousand four hundred fifty-two patients underwent RS in the outpatient setting only, and 44 (0.81%) were diagnosed with COVID-19. RS detected 19 additional patients from the scheduled inpatient admissions for surgical or interventional procedures or inpatient chemotherapy. One hundred sixty-one patients were diagnosed with COVID-19 on the basis of NRS. COVID-19–related hospitalization rate (17.5% v 26.7%; P = .14), intensive care unit admission (1.6% v 5.6%; P = .19), and mortality (4.8% v 3.7%; P = .72) were not significantly different between the RS and NRS groups. In the multivariable analysis, age ≥ 60 years (odds ratio, 4.4; P = .023) and an absolute lymphocyte count ≤ 1.4 × 109/L (odds ratio, 9.2; P = .002) were independent predictors of COVID-19–related hospital admission. CONCLUSION: The COVID-19 positivity rate was low on the basis of RS. Comparing the hospital admission and mortality outcomes with the NRS cohort, there were no significant differences. The value of routine pre-emptive screening of asymptomatic patients with cancer for COVID-19 remains low.

e19003 Background: Acute panmyelosis with myelofibrosis (APMF) is a rare subtype of acute myeloid leukemia characterized by acute panmyeloid proliferation with increased blasts, cytopenias with bone marrow fibrosis, and absence of splenomegaly. There is a paucity of population-based studies of APMF. Methods: We queried the United States Surveillance, Epidemiology, and End Results (SEER) database and National Cancer Database (NCDB) using the ICD-O-3 code 9931/3. The SEER 17 registries (2004-2015) were used to find data on incidence. For NCDB data, comorbid disease burden was calculated using the Charlson-Deyo Score (CDS). Hazard ratios (HR) with confidence intervals (CI) were calculated using a Cox proportional hazards model. Overall survival (OS) was estimated with the Kaplan-Meier method. Variables significant in univariable analysis were included in a multivariable analysis. Results: We identified 260 APMF patients using the SEER database. Incidence was 0.3 cases/million individuals and did not change significantly from 2004-2015. With a median follow up of 6.9 years (95% CI 6.1-7.8), the median OS was 2.3 years (95% CI 1.7-2.8). We identified 530 APMF patients using the NCDB. The median age at diagnosis was 67 years (range 22-90) and 311 (59%) were male. With a median follow up of 5.0 years (95% CI 3.0-7.6), the median OS was 2.3 years (95% CI: 0.8-6.5). OS was 69%, 31%, and 18% at 1-, 5-, and 10- years, respectively. Patients diagnosed in 2012-2015 had a significantly improved OS compared to those diagnosed in 2004-2007 (HR 0.65, 95% CI 0.49-0.85; p=0.002). 271 patients (53%) patients received chemotherapy. The OS for those that received chemotherapy was 70% at 1 year and 30% at 5 years versus 70% and 32% at 1- and 5- years for those who did not ( p=0.99). The median time to chemotherapy from time of diagnosis was 25 days (range 0-532 days). 52 patients (10%) underwent transplantation and the OS of those patients was 90% at 1 year and 45% at 5 years versus 67% and 29% at 1- and 5- years for those who did not (HR: 1.7 (95% CI: 1.2-2.6), p=0.006). In univariable analysis, factors predicting inferior OS were age ≥ 65 years old at diagnosis (HR 1.8, 95% CI 1.5-2.3; p<0.001), male sex (HR 1.5, 95% CI 1.2-1.8; p<0.001), CDS ≥ 1 (HR: 1.5 (95% CI: 1.2-2.0), p<0.001), government insurance (HR 1.8, 95% CI 1.4-2.3; p<0.001), diagnosis at a non-academic facility (HR 1.6, 95% CI 1.2-2.0, p<0.001), and not receiving a hematologic transplant (HR 1.7, 95% CI 1.2-2.6; p=0.006). Multivariable-adjusted analysis is shown in the Table. Conclusions: The overall incidence of APMF has not changed between 2004 and 2015, but OS for 2012-2015 was improved compared to 2004-2007. Age ≥ 65 years old, male sex, CDS ≥ 1, and diagnosis at a nonacademic facility predicted inferior OS. Multivariable-adjusted analysis.[Table: see text]