A Nationwide Study of GATA2 Deficiency in Norway—the Majority of Patients Have Undergone Allo-HSCT

Purpose GATA2 deficiency is a rare primary immunodeficiency that has become increasingly recognized due to improved molecular diagnostics and clinical awareness. The only cure for GATA2 deficiency is allogeneic hematopoietic stem cell transplantation (allo-HSCT). The inconsistency of genotype–phenotype correlations makes the decision regarding “who and when” to transplant challenging. Despite considerable morbidity and mortality, the reported proportion of patients with GATA2 deficiency that has undergone allo-HSCT is low (~ 35%). The purpose of this study was to explore if detailed clinical, genetic, and bone marrow characteristics could predict end-point outcome, i.e., death and allo-HSCT. Methods All medical genetics departments in Norway were contacted to identify GATA2 deficient individuals. Clinical information, genetic variants, treatment, and outcome were subsequently retrieved from the patients’ medical records. Results Between 2013 and 2020, we identified 10 index cases or probands, four additional symptomatic patients, and no asymptomatic patients with germline GATA2 variants. These patients had a diverse clinical phenotype dominated by cytopenia (13/14), myeloid neoplasia (10/14), warts (8/14), and hearing loss (7/14). No valid genotype–phenotype correlations were found in our data set, and the phenotypes varied also within families. We found that 11/14 patients (79%), with known GATA2 deficiency, had already undergone allo-HSCT. In addition, one patient is awaiting allo-HSCT. The indications to perform allo-HSCT were myeloid neoplasia, disseminated viral infection, severe obliterating bronchiolitis, and/or HPV-associated in situ carcinoma. Two patients died, 8 months and 7 years after allo-HSCT, respectively. Conclusion Our main conclusion is that the majority of patients with symptomatic GATA2 deficiency will need allo-HSCT, and a close surveillance of these patients is important to find the “optimal window” for allo-HSCT. We advocate a more offensive approach to allo-HSCT than previously described.

Comprehensive Genomic Characterization of ASXL1 C.1934dupG (p.G646fs*12) Versus Other ASXL1 mutations in Myeloid Neoplasia

Introduction: ASXL1 mutations are frequently seen across the clinical spectrum of myeloid neoplasia. The most commonly identified ASXL1 mutation represents a single base duplication within an 8-guanine repeat at nucleotide position 1934 (c.1934dupG). Due to technical limitations of sequencing homopolymer regions, the ASXL1 c.1934dupG variant has been identified as potential artifact in some sequencing assays, though modern next generation sequencing assays and bioinformatics pipelines can generally accurately detect this mutation. However, a comprehensive comparison of ASXL1 c.1934dupG mutations versus non-c.1934dupG ASXL1 mutations have not been performed to date. Thus, we sought to explore a large dataset to determine if any biologic differences existed between these two groups. Methods: Comprehensive genomic profiling by FoundationOne ®Heme testing was performed on patient samples with known or suspected myeloid neoplasms (MN). All MN patients ≥18 years old with 1 or more mutation were identified by internal database query. Patients were categorized as acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), non-chronic myeloid leukemia myeloproliferative neoplasms (MPN), or MDS/MPN overlap based on mutation and outside clinical and pathology data. Mutations with variant allele fractions (VAF) >1% were included for analysis, except for the ASXL1 c.1934dupG variant, which was only reported if the VAF was ≥15%. Fisher's exact tests were used to evaluate proportional differences between categorical variables, and Mann-Whitney U tests were used for comparisons of continuous variables. Results: Truncating ASXL1 mutations were identified in 1,414 included patients, occurring in 18% of AML and 26% of chronic myeloid neoplasms. Twenty-eight (2%) patients had multiple ASXL1 mutations, and ASXL1 was the sole mutated gene in 52 patients (4%). The most common ASXL1 mutation was c.1934dupG (Figure 1A), and this was the sole or dominant ASXL1 mutation in 520 cases (37%). The remaining 894 patients (63%) had one or more mutations at other sites in the ASXL1 gene (ASXL1other), with p.E635Rfs, p.R693*, and codon 591 mutations being the most common. There were no significant differences in age, sex, or ancestry signatures between ASXL1c.1934dupG and ASXL1other. We noted slightly fewer ASXL1c.1934dupG mutations in patients with MDS (ASXL1c.1934dupG: ASXL1other 0.48:1) compared to AML (0.65:1, p = 0.03) and MPN (0.60:1, p = 0.01) and those in whom ASXL1 was the sole mutation (Figure 1B). However, these trends may have been due to VAF-based reporting thresholds, as ASXL1 VAFs were lower in singly mutated patients and those with an MDS diagnosis classification. Comparison of co-mutated genes with VAFs ≥15% between ASXL1c.1934dupG and ASXL1other revealed no significant difference in median non-ASXL1 mutations (each median 4, IQR 2-5, p = 0.74). When individual genes were assessed, co-mutation rates of STAG2 (p = 0.01) and KMT2A (p = 0.02) were higher in ASXL1c.1934dupG MNs, while SETBP1 (p = 0.01) mutations were more common with ASXL1other. In all MNs, the absolute differences in the frequency of mutations in ASXL1c.1934dupG versus ASXL1other were small. However, some differences emerged within phenotypic subgroups (Figure 1C). For instance, KMT2A rearrangements and STAG2 mutations were strongly associated with ASXL1c.1934dupG in MDS/MPN and MPN, with ASXL1c.1934dupG: ASXL1other ratios of 5:1 (p = 0.03) and 9:1 (p < 0.001), respectively. In contrast, AML patients with TP53 or SETBP1 mutations had a significantly higher mutation rate in ASXL1other (TP53: 11% vs. 3% in ASXL1c.1934dupG, p < 0.01; SETBP1: 14% vs. 7%, p=0.04). We further identified that other specific ASXL1 mutations were more commonly co-mutated in AML with TP53 (ASXL1 p.R693*, p < 0.001) or SETBP1 (ASXL1 p.R404*, p < 0.001). Conclusion: Our results confirm the ASXL1 c.1934dupG variant occurs in a similar patient population to other ASXL1 mutations, and further supports its pathogenicity in myeloid neoplasia. Subset analysis suggests that ASXL1c.1934dupG and ASXL1other may be associated with certain phenotypic and co-mutational tendencies. Thus, ASXL1 mutation site may be an important variable in some patients and should be considered in future mechanistic and clinical studies. Further study is warranted to determine whether clinical outcomes are affected by different ASXL1 mutations. Figure 1 Figure 1. Disclosures Haberberger: Foundation Medicine, Inc.: Current Employment. Ferguson: Foundation Medicine Inc: Current Employment, Other: ownership.

Strong Predictors of Chromosomal Aberrations and Myeloid Neoplasia Following Immunosuppression Therapy for Severe Aplastic Anemia: A Retrospective Cohort Study

Introduction: Immune aplastic anemia (AA) is effectively treated with either immunosuppressive treatment (IST) or allogeneic hematopoietic stem cell transplant (HSCT). Clonal evolution remains the most feared long-term complication after IST. We investigated predictor factors, genetic characteristics, and long-term outcomes of patients who developed either secondary myeloid neoplasia or isolated chromosomal abnormalities without morphologic dysplasia after immunosuppression. Methods: All patients with severe AA treated at the NIH Clinical Center with IST from 1989-2020 who underwent clonal evolution were categorized as "high-risk" (overt myeloid neoplasia, or isolated chromosome 7 abnormality / complex cytogenetics) or "low-risk" (isolated chromosome abnormalities without overt myeloid neoplasia or dysplasia; isolated chromosome 7 abnormality or complex cytogenetics were characterized as high-risk). Univariable analysis was performed using the Fine-Gray competing risk regression model using death as a competing risk to determine predictors of clonal evolution. Classification and regression tree analysis of time to clonal evolution was performed on continuous baseline variables to partition the data based on the best categorical cutoff. Long term outcomes assessed included overall survival (OS) and HSCT. Error corrected next-generation sequencing (ECS) was used to assess for pathogenic somatic variants in known myeloid cancer genes in clonal evolvers both at time of evolution and in serial samples prior when available. Results: Of 659 patients with severe AA included in this study, 95 developed clonal evolution: 59 high-risk and 36 low-risk. Age >48 years at diagnosis and pre-treatment ANC >0.87x10 9/L were strong predictors of high-risk clonal evolution. High-risk clonal evolution was increased in patients aged >48 years, with cumulative incidence (CI) of 13.9% by 5 years compared to patients aged <48 years of 3.8% by 5 years (p<0.001). Baseline ANC >0.87 x10 9/L (independent of age) predicted an even higher risk of evolution; CI for high-risk evolution was 17% by 5 years (p<0.001). Combined high ANC and older age (>48 years) were prognostic of the greatest risk of high-risk evolution, with a hazard ratio (HR) of 5.51; conversely, ANC <0.87 x10 9/L and age <48 years was protective, with HR 0.32. High-risk clonal evolution was not significantly increased by use of eltrombopag with IST versus IST only (p=0.3), but there was an increase when all clonal evolution was considered (p=0.02). Overall survival in high-risk evolution was 35% at 5 years and in low-risk evolution was 84% (p<0.001). Patients with high-risk evolution who underwent HSCT (n=26) had better OS compared to those treated with chemotherapy or supportive care (p=0.005). RUNX1 (13 variants in 8 [35%] patients) and ASXL1 (13 variants in 10 [43%] patients) were the most frequent mutated genes at time of clonal evolution in high-risk patients, and BCOR/L1 (14 variants in 8 [32%] patients) was the most frequently mutated in the low-risk group. Longitudinal data were available in five high-risk and eight low-risk patients. Three of five high-risk patients had acquisition or expansion of RUNX1 clones at evolution. Small RUNX1 variants were present in two patients as early as three years prior to high-risk evolution. Splicing factor genes and RUNX1 somatic variants were detected exclusively in the high-risk group; DNMT3A, BCOR/L1 and ASXL1 gene mutations were present in both groups. Conclusion: Age and pre-treatment ANC strongly predict high-risk clonal evolution in AA patients after IST and may be used determine at-risk patients for long term follow-up. Outcomes in patients with low-risk evolution are favorable but poor in high-risk evolution without HSCT. The clonal landscape differs between high-risk and low-risk evolution; MDS-associated genetic mutations are enriched in high-risk evolution, in particular RUNX1. Further study of the role of RUNX1 in high-risk clonal evolvers may give insight into leukemogenesis in AA. Figure 1: Cumulative incidence (CI) of clonal evolution since immunosuppression with death treated as competing risk. (A) CI for development of all clonal evolution in patients >37 years (B) and high-risk clonal evolution in patients >48 years (C) CI for development of all clonal evolution when baseline ANC >0.87x10 9/L and (D) high-risk clonal evolution when baseline ANC >0.87x10 9/L. Figure 1 Figure 1. Disclosures Young: Novartis: Research Funding.

Clinical Efficacy of JAK Inhibitors in Patients with Vexas Syndrome: A Multicenter Retrospective Study

Background VEXAS syndrome (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) is due to a somatically acquired mutation of the E1-ubiquitin ligase UBA1, leading to the expression of a catalytically impaired isoform in myeloid cells. VEXAS syndrome combines severe auto-inflammatory manifestations and is frequently associated with myeloid neoplasia (MN). The outcome of VEXAS is poor, and most patients require high dose corticosteroids to reduce inflammation (Bourbon et al. Blood 2021). Therapeutic options besides steroids are currently limited in those patients. In this multicenter retrospective study, we report some clinical efficacy of JAK inhibitors (JAKi) in VEXAS patients. Patients We analyzed retrospectively 24 UBA1 mutated patients (Met41 or previously reported alternative splicing site) treated with JAKi (11 with ruxolitinib (RUXO), 11 with tofacitinib (TOFA), 1 with baricitinib, 1 with upadicitinib) in 7 French, 1 Portugese and 2 US centers. Complete clinical (CCR) and complete biological response (CBR) were defined as complete resolution of clinical symptoms and normalization of inflammation markers (C reactive protein, CRP) respectively. Partial clinical (PCR) and biological (PBR) response were defined by reduction of at least 50% of clinical or inflammation markers, respectively. Results All 24 patients were males with a median age at VEXAS diagnosis of 72 years [range 54-89]. Thirteen had documented myeloid neoplasia (MN) (1 CMML-0, 1 other MDS/MPN, 10 MDS). Clinical manifestations at VEXAS diagnosis include skin involvement (87.5%), arthritis or arthralgia (83.3%), vasculitis (37.5%), fever (75%), ocular manifestations (29.2%) and pulmonary infiltrates (41.6%). IPSS-R was very low/low/intermediate in 8/3/2 cases respectively. Median time between first VEXAS related clinical manifestations and JAKi onset was 2.45 years [0.15-5.45]. Prior to JAKi onset, patients had received a median of 2.5 immunosuppressive/immunomodulatory treatments [range 0-9]. After 1 month, 12/24 (50%) patients had achieved clinical and/or biological response. CCR and CBR was achieved in 7/11 (64%) and 6/11 (54%) patients treated with RUXO, and in 3/13 (23%) and 2/13 (15%) patients treated with other JAKi (figure A). After 3 months, CCR and CBR was 100% and 80% (10 evaluable patients) in the RUXO group as compared to 25% and 25 % in patients treated with other JAKi (8 evaluable patients) (p=0.0036 et 0.0055 respectively, figure B). RUXO efficacy was similar in patients with (n=9) or without (n=2) associated MN. In RUXO treated patients, median CRP and steroid dose reduction was 72.5% [range 21.5- 99.5] and 66.25% [range 0-75] respectively at 3 months. With a median follow-up of 4 months [range 1.4-12], only 1 RUXO treated patient had lost response, whereas median time to next of treatment was 3.4 months with other JAKi (figure C). Of the 13 patients with MN, 7 were RBC transfusion dependent at JAKi onset (6 with RUXO, 1 with other JAKi). Four of 6 patients treated with RUXO achieved RBC transfusion independence at 3 months, but not the patient treated with other JAKi. Regarding safety, severe adverse events were reported in 6 patients: 3 deep vein thrombosis, (2 with TOFA/1 with RUXO), 1 pneumonia (RUXO), 1 enterohemorrhagic E. Coli infection (RUXO), and 1 lethal legionellosis (TOFA)). Conclusion Ruxolitinib (and less often other JAK inhibitors used in this study) provides rapid response in most VEXAS patients, allowing in two third of the cases corticosteroid dose reduction/withdrawal and RBC transfusion independence in 4/6 patients with MN who were initially transfusion dependent. Those retrospective preliminary results, with limited follow up, must be interpreted with caution and will be updated at the meeting. The effect of RUXO on VEXAS patients with concomitant MN will soon be studied prospectively in a Groupe Francophone des Myélodysplasies (GFM) clinical study. Figure 1 Figure 1. Disclosures Galicier: Novartis Pharma Sas, Sanofi Aventis France: Consultancy; Lilly France, Baxalta France, Sanofi Aventis France Sas: Other: Payments as Speaker for Educational Program; Shire France SA, Janssen-Cilag, Pfizer Sas: Other: Invitation to Congress. Hirsch: Novartis Pharma: Consultancy; Daiichi Sankyo Oncology: Consultancy. Warrington: Eli Lilly: Research Funding; Kiniksa: Research Funding. Fenaux: Novartis: Honoraria, Research Funding; JAZZ: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Takeda: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene/BMS: Honoraria, Research Funding; Syros Pharmaceuticals: Honoraria.

Mutant TP53 prevents Telomere Shortening in Acute Myeloid Leukemia

Background High telomerase activity represents a critical feature of hematopoietic stem cells. Excessive shortening of telomere length (TL) due to replicative stress may be - in analogy to many solid tumors - a hallmark of myeloid neoplasia (MN). Also, telomeric footprints in leukemic genomes may vary between various subtypes corresponding to the differentiation arrest at various stages of hematopoietic ontogeny or specific molecular defects. Critical TL shortening has been associated with genomic instability and accelerated acquisition of genomic lesions leading to a more aggressive phenotype. These processes have not been systematically studied in MN, especially AML. Aim By taking advantage of next-generation sequencing to assay both molecular features and TL within large cohorts of patients, we tested the hypothesis that TL shortening is excessive in highly proliferative MN, but that distinct invariant differences characterize genetic subtypes. Methods Our cohort included AML (N=734), MDS (N=701), healthy controls (HC) (N=11) and PNH (N=102) serving as clonal non-malignant controls. All patients were diagnosed according to WHO standards before being subjected to transcriptome (WTS) and genome (WGS, 100x) sequencing. To retrieve TL characteristics and telomere repeat heterogeneity from WGS data, we used TelomereHunter (TH). In parallel, we performed C-Circle assays. Patients were annotated for clinical features and analyzed for genetic/transcriptomic patterns. Results For a subset of patients for whom corresponding benign lymphocyte DNA was available a significant TL shortening in blasts vs control lymphocytes (A; P=.0023) was detected. While age correlation was established in controls, despite a trend, in MN age did not significantly affect TL (B) and thus subsequent comparisons were not adjusted for age. Next, we studied a cohort of patients with AML, MDS, PNH and HC and found that TL shortening was an overarching finding in AML, MDS and PNH as compared to HC (C). Since no matched DNA was available as reference, we examined the distribution of TL across different age cohorts, AML patients divided according to age cohorts harbored TL in a similar range (D, P=.057). Classic morphologic (E) or cytogenetic subtypes AML exhibited no difference. Similarly, no differences were found between high and low risk MDS patients (not shown). The variability of TL ranges suggested that there may be molecular factors which affect individual TL. When we compared TL grouped according to frequent mutations, only TP53 mutations were associated with longer TL (F, P<.0001). A significant positive correlation (G, P=.021) between TL and TP53 clonal burden was found; samples with the longest vs shortest TL showed significantly higher TP53 VAF (H, P=.0229). In analogy, the presence of multiple TP53 mutations (putative biallelic inactivation) showed longer TL than single hits but no association was found between the nature of mutations and TL (I, J, K). Availability of WTS data allowed us to assess the telomerase activity using the EXTEND score (ES) which has been shown to assess telomerase activity. Indeed, the ES was correlated with TL (L) and TP53 mutant status was associated with a higher ES compared to WT samples (M, P<.0001). Similarly, because of the compensatory upregulation of TP53 in mutant cases, we have also found that TP53 mRNA levels correlated with ES (N P<.0001). Another explanation of TL increase could be the occurrence of alternative lengthening (ALT). TH software allows for estimation of the abundance of specific telomeric repeats. Singleton analysis showed that increase in telomere repeats variants (TTTGGG, O, P=.003) was related to mutations in TP53 arguing against the involvement of ALT. The final confirmation that TL extension was not due to ALT was provided by C-Circle assays. When C-Circle assays were performed for samples with a high/low TL and mutant/WT TP53, none of the subgroups was identified as ALT + (P). Conclusion We stipulate that TL measurements using NGS will be helpful to investigate pathophysiological features associated with TL shortening. Availability of therapies targeting the telomere machinery (Imetelstat) may offer an opportunity for personalized therapy beyond MPN, its current indication. It remains to be tested whether long TL associated with TP53 mutations can serve as marker of sensitivity or resistance to these agents. Figure 1 Figure 1. Disclosures Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Kern: MLL Munich Leukemia Laboratory: Other: Part ownership. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Regeneron: Consultancy; Bristol Myers Squibb/Celgene: Consultancy; Alexion: Consultancy; Novartis: Consultancy.

Germline and Somatic Variants of CSF3R Define Distinct Myeloid Neoplasia Syndromes

Somatic and germline (GL) variants of CSF3R are found in myeloid neoplasia (MN) and severe congenital neutropenia (SCN). In particular, somatic gain-of-function mutations in the juxtamembrane region of the receptor occur in chronic neutrophilic leukemia (CNL) or secondary AML. Another hotspot for somatic nonsense variants frequently mutated in these categories of pts involves the intracellular domain which regulates inhibitory growth pathways. We hypothesized that the somatic CSF3R variants could reveal previously unrecognized GL SCN mutations. When we studied a cohort of 2,610 pts with MN, we identified a total of 68 CSF3R variants (CSF3RMT). Using a bioanalytic pipeline, we assigned pathogenicity and type of origin (somatic vs. GL) to these variants, particularly those not previously described. In total, we found 32 GL (CSF3RGL) and 36 somatic (CSF3RS) mutations. Of the GL variants, 4 were previously described in pts with SCN consistent with heterozygous loss of function of the CSF3R gene. However, 15 additional alterations were located in similar regions and were predicted to be pathogenic while 13 variants were previously never described. Most of the CSF3RGL mutations were identified in pts with AML and MDS (88%). Interestingly, 2 (6%) pts had co-existing idiopathic neutropenia that progressed to secondary MDS. Another pt had aplastic anemia that eventually progressed to secondary AML. CSF3RGL were most often located in either the intracellular domain (44%) or the extracellular domain (34%) while none of the CSF3RGL mutations were found in the juxtamembrane region (Fig1). AML was detected in 21% of the pts with a CSF3RGL intracellular domain mutation and 18% of the pts with extracellular domain mutations. Of the germline missense variants, E808K (28%), R698C (9%), and E149D (9%) were the most frequently detected. Among the pts with E808K, 22% developed AML. The previously non-reported variants were detected in either the intracellular (50%) or the extracellular domain (50%). Missense variants were detected in 9/10 of the novel mutations in the following locations: L723V (20%), R428K (10%), G731R (10%), V406fs (10%), G687S (10%), P682H (10%), T154I (10%), and S413L (10%). One truncating mutation was found (c.1865-6delC) and it was located in intron 14 and has unknown impact on CSF3R function. Complex karyotype was noted in 19 % of the cases with CSF3RGL. DNMT3A (19%), NRAS (13%), FLT3 (9%), and BCOR (9%), were the most commonly found co-mutations. CSF3R S mutations were all heterozygous and found in 18 pts with AML and 18 pts with MDS and other MN. Overall, these lesions mapped within the intracellular proximal and distal domains (53%), the extracellular domain (14%) the juxtamembrane domain (25%), and the transmembrane domain (8%). Of note, MDS/MPN pts with CSF3RS mutations (11%) had lesions distributed between the intracellular, juxtamembrane and extracellular domains while none of the AML pts had mutations in the extracellular domain. Of all mutations, 36% were truncating events previously described in the context of post SCN AML while 61% were missense mutations. T618I was the most frequent CSF3RS detected (25%), followed by Q749X (11%), Q741X (9%), Q743X (6%). Juxtamembrane hits (CNL-like lesion) were all in the same canonical region (T618I). In contrast, somatic hits otherwise typical for post SCN AML were found in 33% of CSF3RS alterations and included the following: Q749X(4), Q741X (3), Q739X (2), S742X, Q743X, and E405K (not typical for post SCN AML). Taken together the combined allelic burden of these variants did not exceed that of general population (OR: 0.9503) suggesting that they are not significant risk alleles. Of note is that none of these variants were found to be in biallelic (somatic/GL) configurations. Complex karyotype was found in 19% of the pts with CSF3RS followed by del7q in 13% of cases. Importantly, an antecedent history of neutropenia was noted only in 14% of the pts carrying CSF3RS. Regarding associated mutations, ASXL1 (43%), RUNX1 (23%), SETBP1 (23%), TET2 (23%), DNMT3A (17%), SRSF2 (16%), EZH2 (14%), IDH2 (11%), and NRAS (11%) were the most common co-mutations. We have investigated CSF3RS mutations for the presence of GL alterations, but compound heterozygous configurations were not identified. We concluded that CSF3R mutations typically associated with SCN transformation to myeloid neoplasia can occur without GL variants associated with this defect. Figure 1 Figure 1. Disclosures Balasubramanian: Servier Pharmaceuticals: Research Funding. Patel: Apellis: Consultancy, Other: educational talks, Speakers Bureau; Alexion: Consultancy, Other: educational talks, Speakers Bureau. Advani: Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; OBI: Research Funding; Immunogen: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding; Macrogenics: Research Funding. Carraway: AbbVie: Other: Independent review committee; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Astex: Other: Independent review committee; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Maciejewski: Novartis: Consultancy; Regeneron: Consultancy; Bristol Myers Squibb/Celgene: Consultancy; Alexion: Consultancy.

TERT Rare Variants in Myeloid Neoplasia: Lack of Clinical Impact or Role as Risk Alleles

Dyskeratosis congenita is a prototypic inherited telomeropathy. Telomere length (TL) shortening has also been described in aplastic anemia (AA) and attributed in occasional patients to the presence of mostly heterozygous germline alterations in telomerase machinery genes (most commonly in the reverse transcriptase gene, TERT). Among various heterozygous variants described, certain TERT variants associated with shortened TL (e.g. H412Y and A202T) showed later a higher prevalence in general population questioning their pathogenicity and role as risk alleles. Nevertheless, shortened TL has been shown to correlate with poor outcomes in AA and myelodysplastic syndromes (MDS) along with a higher progression rate to acute myeloid leukemia, and increased non-relapse mortality after HSCT. A high prevalence (41/1514; 2.7%) of non-recurrent germline TERT rare variants, has been found in patients with MDS undergoing HSCT (Reilly et al Blood 2021) without any clinically apparent diagnosis of a telomere biology disorder. Despite their classification as VUS, these alterations were shown to result in impairment of telomere elongation in vitro and reduced TL in vivo. Clinically, VUS carriers were also characterized by younger age at MDS presentation (median 52 years) and shorter survival due to a higher incidence of non-relapse mortality. We hypothesized that should such rare variants (traditionally thought as VUS) represent founder lesions and constitute risk alleles, one would expect to find some recurrence of these lesions in other cohorts of patients with myeloid neoplasia (MN). To test this hypothesis we screened a large meta-analytic cohort of MN patients (n=2560) including our patients (The Cleveland Clinic Foundation and MLL-Munich Leukemia laboratory) and a public series (The BEAT AML Master Trial and TCGA among others) for the presence of TERT coding variants. When whole genome sequencing was available (n=1432) TelomereHunter tool was used to estimate TL in carriers of TERT rare variants and wild-type (WT) cohorts. Overall, we identified 73 TERT coding variants. Based on maximum gnomAD population allele frequency (AF) <0.001 and ACMG and pathogenicity scores according to the classifiers of VarSome (https://varsome.com), we found 37/2560 (1.4%) variants which were categorized as rare and VUS. Of note, only 6 patients harbored established TERT pathogenic variants while the rest were common and VUS. Alterations occurred in the RTD (52%), TRBD-Linker region (29%) and CTE domain (19%). When compared to the aforementioned HSCT cohort described by Reilly et al, TERT rare VUS had a lower frequency and did not overlap with any of the VUS reported in this study, except for 2 patients harboring one variant each in amino acid locations 741 and 1041. Assessment of TL, possible in 12 patients carrying TERT rare variants, did not reveal differences compared to TERT WT cases. Interestingly, none of these rare variants were also observed in a control cohort of patients with AA (n=268). In terms of clinical features, MN patients with TERT rare variants harbored more somatic hits in DNMT3A and SF3B1 (26% each), and FLT3 (15%) with a diverse spectrum of additional molecular lesions, including germline VUS of other genes (4 patients harbored concomitant VUS in BRCA1, FANCG, and SAMD9, with another patient carrying a likely benign SAMD9L variant) (Fig1). When compared to WT counterparts, patients harboring TERT rare variants had a similar median age at MN diagnosis (70 vs. 66, P= 0.38) and similar survival outcomes (P= 0.96). Importantly, HSCT outcomes were ascertained only in 7 cases because of the real-life nature of our cohort which compiles MN patients of any subtype and age, thereby not biased by transplant referral like in the aforementioned study focusing only on MDS patients undergone HSCT. Finally, principal causes of death were primary disease (63%), presence of another malignancy (19%) and infections (13%) and, of note, no patient died of non-infectious pulmonary causes. In sum, our study, while confirming a relatively high (albeit not significant vs. controls) combined TERT VUS population burden in MN, also strongly indicates that rare TERT VUS are non-recurrent. Therefore, they cannot be considered risk alleles individually nor can their biological (combined or individual) impact in terms of non-transplant outcomes, irrespective of their in vitro functional effects. Figure 1 Figure 1. Disclosures Carraway: Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Takeda: Other: Independent review committee; Astex: Other: Independent review committee; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Bristol Myers Squibb/Celgene: Consultancy; Alexion: Consultancy; Novartis: Consultancy; Regeneron: Consultancy.

Genomic Landscape of PHD Finger Protein 6 (PHF6) Mutant Myeloid Neoplasia

Clinical impact and mechanistic contributions to leukemogenesis are difficult to assign to less common somatic mutations. However, the genetics of inherited syndromes can often be helpful in discerning the biological functions and mechanistic consequences of genes in other diseases. PHF6 (Xq26.2) encodes a protein consisting of two PHD-type zinc finger domains with activity in transcriptional regulation. PHF6 translocations were originally described in T-ALL and its mutations were later observed also in CML and adult AML. Germline (GL) PHF6MT cause Börjeson-Forssman-Lehmann syndrome (BFLS), an X-linked disorder characterized by intellectual disability and, to date, only a few BFLS cases were found to develop lymphoma or T-ALL. While regularly encountered in myeloid neoplasia (MN), the impact and functional meaning of PHF6 are not well established. To determine the incidence, distribution and molecular context of PHF6MT we studied a large cohort of patients with MN (n=8617) collected from our institution and public series. 1 Overall, 73% of patients were AML (pAML 69%; sAML 4%), MDS (22%) and MDS/MPN (5%) with a median age at diagnosis of 67 ys (18-100). We detected 149 patients (2%) carrying at least 1 PHF6MT with 11 harboring more than 1 hit. Four patients carried -X in addition to PHF6MT (2 males; 2 females). Majority of patients (68%) carried frameshift del/ins and nonsense. Mutations were scattered across all coding region with a slightly enrichment (47%) in the second PHD domain (239-330 aa) including the frequent R274Q/X (n=17). Common hits mainly affected arginine residues essential for DNA binding capacity (R129X n=9, R116X=7, R319X=5, R225X=3) followed by other hits (I314T=6, Y301X and C20fs=4 each). Of note, R116X, R225X, R274X, C280Y, H329R and Y303* lesions overlapped with the T-ALL PHF6MT spectrum while no overlap was found with GL mutations found in BFLS. Overall, 75% of all PHF6MT carriers were males and carried mostly (80%) truncating lesions. Compared to mutational frequencies observed in other X-linked genes, truncating PHF6MT behaved similarly to those in ZRSR2 (78%), STAG2 (73%) and BCOR (62%). Conversely, BCORL1MT, KDM6AMT and PIGAMT were evenly distributed between genders. When evaluating mutational characteristics in males and females, no differences were found in sex-adjusted median variant allelic burden of PHF6MT (54.8 vs 51%) nor its mRNA expression levels suggesting locus inactivation. PHF6MT tended to be older than PHF6WT patients (72 vs 68 ys; P= .05) and had mostly (63%) AML followed by MDS (23%) and MDS/MPN (14%). OS was similar between PHF6MT and PHF6WT patients (P= .16). Expression analyses showed that PHF6 loss leads to deregulation of chromatin and transcriptional factor genes. Indeed, in our cohort the most comutated genes were transcriptional factors and chromatin modifiers genes such as RUNX1 (26/149, 17%), ASXL1 (23/149, 15%) and TET2 (17/149, 11%). Of note, this group characterized by the triple ASXL1, RUNX1, TET2 mutational configuration clustered in one of the genomic groups previously identified (GC-3) 1 but the presence of these lesions did not worsen the OS as compared to PHF6MT without this mutational constellation. A low frequency of SF3B1MT (4%) was also noted confirming the enrichment of PHF6MT in AML rather than in low risk MDS. Further, 12% (14 males; 4 females) of PHF6MT patients had X-mutation mosaicism as shown by concomitant hits in BCOR (n=8), ZRSR2 (4), STAG2 (5), KDM6A (1). PHF6MT were equally founder lesions (30%; 44/149) and subclonal (34%; 50/149) whereas the rest was indistinguishable by VAF discrimination (co-dominant). The most common subclonal mutations were U2AF1 (14%, 6/44), IDH1/2 (9%, 4/44) and RUNX1 (7%, 3/44). When PHF6MT were subclonal, the founder hits were in TET2 (14%, 7/50), DNMT3A and RUNX1 (12%, each 6/50) genes. Given the high frequency of RUNX1MT in PHF6MT we investigated whether RUNX1 and PHF6 might be correlated. Transcriptomic analysis of 6246 patients (from 9 public studies) 2 showed a direct linear correlation (AdjR2= .03, P=5.55e-05) between the expression of the two genes. Our study is the largest to date to investigate the genetic landscape of PHF6MT in MN and highlights a strong connection of PHF6 with transcriptional regulation and chromatin genes. Ongoing scDNA-seq will clarify whether these mutations were acquired in distinct clones helping in dissecting the clonal hierarchy of PHF6MT cases. Disclosures Carraway: Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Takeda: Other: Independent review committee; Astex: Other: Independent review committee; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Advani: Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Macrogenics: Research Funding; Immunogen: Research Funding; OBI: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding. Maciejewski: Regeneron: Consultancy; Novartis: Consultancy; Alexion: Consultancy; Bristol Myers Squibb/Celgene: Consultancy.