Sproat, Lisa Z.

ABSTRACT We examined the prognostic value of routine NGS data in newly diagnosed acute myeloid leukemia (AML) treated with intensive (7 + 3 backbone) induction, specified by AML subtype. A contemporary (2015–2025) series of 545 Mayo Clinic patients (median age 56 years, females 44%) was considered. Median follow‐up was 49 months with 341 (63%) allogeneic hematopoietic stem cell transplantations (AHSCT) recorded. AML subtypes included core‐binding factor (CBF; N = 72; 13%), primary non‐CBF ( N = 403; 74%), post‐myelodysplastic syndromes (MDS) or post‐myelodysplastic/myeloproliferative neoplasms (post‐MDS‐MDS/MPN; N = 28; 5%), post‐MPN ( N = 15; 3%), and therapy‐related (t‐AML; N = 27; 5%). Corresponding complete remission rates, with/without count recovery (CR/CRi), were 89%, 76%, 64%, 27%, and 78% ( p < 0.01) and 5‐year transplant‐censored survival rates 68%, 57%, 21%, 0%, and 55% ( p < 0.01). In multivariable analyses, the prognostic value of specific mutations was mostly limited to primary non‐CBF AML where adverse karyotype (OR 1.9; p = 0.04) predicted inferior and FLT3 ‐ITD (OR 0.4; p < 0.01) or NPM1 MUT / FLT3 WT (OR 0.1; p < 0.01) superior CR/CRi while KRAS MUT (HR 8.8; p < 0.01), TP53 MUT (HR 5.4; p < 0.01), and TET2 MUT (HR 2.3; p = 0.01) predicted inferior and NPM1 MUT / FLT3 WT (HR 0.3; p = 0.01) superior survival. Prognostication in intensively‐treated AML should start with subtype specification and recognition of the limited value of NGS in non‐primary AML. Post‐MPN AML is particularly associated with dismal outcomes and should be prognostically distinguished from post‐MDS‐MDS/MPN AML. In primary non‐CBF AML, in addition to previously established risk factors, the favorable impact of FLT3 ‐ITD on achieving CR/CRi and the unfavorable impact of KRAS MUT and TET2 MUT on transplant‐censored survival were noted and require confirmation from additional studies.

Abstract Allogeneic hematopoietic stem cell transplant (alloHCT) is considered for all patients with myeloid neoplasms (MNs) harboring TP53 mutations (TP53mut). The aim of this international study across 7 transplant centers in the United States and Australia was to identify factors associated with improved post-alloHCT survival. Of 134 TP53mut MN cases who underwent alloHCT, 80% harbored complex karyotype; 94% of TP53 variants were localized to the DNA-binding domain (DBD). Most common comutations were ASXL1 (7%), TET2 (7%), and DNMT3A (6%). Median post-HCT survival was 1.03 years, and overall survival (OS) at 1 year, 2 years, and 3 years was 51.4%, 35.1%, and 25.1%, respectively. A total of 103 cases (76.9%) met the International Consensus Classification (ICC) criteria for MN with mutated TP53 (referred to as ICC-defined TP53mut MN hereafter). The 3-year OS of ICC-defined TP53mut was significantly shorter compared with that of other TP53mut MNs (3-year OS, 16.9% vs 54.9%; P = .002). ICC-defined TP53mut MNs was independently associated with inferior OS (hazard ratio [HR], 2.62; P = .019). The presence of non-DBD TP53mut only (HR, 3.40; P = .005), DNMT3A comutation (HR, 2.64; P = .016), and pre-alloHCT bone marrow blasts ≥5% (HR, 2.76; P = .006) was independently associated with inferior relapse-free survival (RFS), whereas melphalan-based conditioning was associated with superior RFS (HR, 0.52; P = .005). Combining these variables, we constructed a hierarchical model that stratified patients into low-, intermediate-, and high-risk categories with 1-year RFS of 81.3%, 31.3%, and 6.7%, respectively (P &lt; .001). In conclusion, a subset of MN harboring TP53mut who have low blasts pre-alloHCT and received melphalan-based conditioning derived long-term benefit from alloHCT.

Context.— Unlike B-cell acute lymphoblastic leukemia/lymphoma (ALL/LBL), there have been few therapeutic advances in T-cell ALL (T-ALL)/LBL, an aggressive ALL/LBL subtype. Objective.— To perform a focused tissue array study to elucidate tumor markers of therapeutic potential in T-ALL/LBL. Design.— Using immunohistochemistry, we evaluated expression of leukemic antigens of interest, specifically CC-chemokine receptor 4 (CCR4), among others, on available remnant diagnostic material, including tumor tissue slides obtained from formalin-fixed, paraffin-embedded preserved tissues. Results.— Our analysis identified, for the first time, expression of CCR4 in T-ALL/LBL in 11 of 27 cases (40.7%) and confirmed common expression of BCL2, CD38, and CD47, as reported previously. We also identified the expression of CD123 in 4 of 26 cases (15.4%), whereas BCL6 and PDL1 were expressed in a small number of T-ALL/LBL cases. The potential novel target CCR4 was significantly more common in the Pre/Pro-T immunophenotypic subtype, 6 of 9 (66.7%, P = .01). No additional differences in clinical and epidemiologic variables were noted among positive or negative CCR4 cases. Conclusions.— These findings support preclinical and clinical testing of therapies targeting CCR4, CD47, BCL2, CD38, and CD123 in T-ALL/LBL, and may help guide the development of targeted clinical trials in T-ALL/LBL, a rare disease in urgent need of novel therapies.

AbstractGilteritinib is approved for the treatment of relapsed/refractory (R/R) acute myeloid leukemia (AML) with an FLT3‐mutation (FLT3mut+). However, the gilteritinib phase 3 ADMIRAL study (Perl et al NEJM 2019) was conducted prior to widespread adoption of either midostaurin as a component of standard intensive induction and consolidation or posttransplant FLT3 inhibitor maintenance. We performed a retrospective analysis using data from 11 US centers and where we identified 113 patients who received gilteritinib alone or as combination therapy for the treatment of R/R FLT3mut+ AML. The composite complete remission (CR) rate (CRc, defined as CR + CRi + CR with incomplete platelet recovery [CRp]) was 48.7% (n = 55). The CRc rate after treatment with gilteritinib in patients who were treated with only prior 7+3 and midostaurin with or without consolidation was 58% with a median survival of 7.8 months. Survival was longest in patients who obtained a CR, particularly a cMRD (clinical minimal or measurable residual disease) negative response; this remained significant after censoring at the time of stem cell transplant. The mitogen‐activated protein kinase pathway activating mutations that are known for gilteritinib resistance (NRAS, KRAS, and PTPN11) had lower CRc (35% vs. 60.5%) and lower median overall survival than patients' whose leukemia did not express these mutations (4.9 months vs. 7.8 months) (HR 2.4; 95% CI 1. 5.4) p value <.01.

Abstract TMB is used to guide PD-1-directed immunotherapy in solid tumor Oncology. However, it has not been systematically studied in AML, where the focus has been on cytogenetic risk and individual driver gene mutations (GM's). TMB contribution to AML epidemiology is also uncertain. We therefore studied its association with epidemiologic risk factors; driver GM's and somatic mutations (SM's) in AML risk genes which we recently demonstrated (ABCB1; CYP1A1; CYP2B6; EPHX1; ERCC1,2,& 5; MEFV; MTRR; and TERT); clinical and cytogenetic features; and outcome after therapy in the MCAEC, a highly annotated clinical epidemiology cohort of consecutive AML pts [Finn, Cancer Epidemiol 39:1084, 2015]. Methods: We obtained somatic leukemia DNA from remnant diagnostic cytogenetic pellets in 98 MCAEC patients (pts), as previously described [Foran, Blood (2017) 130:570a]. Whole exome sequencing (WES) was performed at depth of ~100 million paired end 100bp reads using Agilent SureSelectXT Human All Exon V5 + UTRs target enrichment kit. Reads were mapped to human genome build hg19 using BWA-MEM. Single nucleotide variants (SNVs) and small INDELs were identified using Mayo Clinic (MC) analytic pipeline GenomeGPS 4.0.1 following Broad GATK variant discovery best practices of alignment, realignment and recalibration, and multi-sample joint genotyping; and filtered using both germline whole exome and genome sequencing of ~1200 MC Biobank samples and public germline variant databases of 1000 genome project, 6500 individuals in exome sequencing project, and HapMap phase 3. Remaining variants were annotated using ANNOVAR, and functional variants of non-synonymous, truncating, frame-shift, and splice-sites were used in the statistical association analyses. TMB was defined as the number of functional mutations per Mb of coding region, heterozygous or homozygous. TMB associations with epidemiologic risk, clinical characteristics, and SM's in AML risk genes (listed above) or driver GM's (occurring in 5 or more pts: ASXL1, BCOR, CEBPA, DNMT3A, FLT3, IDH2, KRAS, MLL2-5, NF1, NPM1, NRAS, PHF6, RUNX1, SF3B1, STAG2, TET2, TP53, U2AF1) were evaluated using linear regression models; a rank transformation of TMB was utilized due to its skewed distribution. Multivariable analysis (MVA) models were adjusted for variables with p-value &lt;0.05 in unadjusted analysis. Regression coefficients ("β") were estimated, interpreted as change in mean TMB rank for specified variables or characteristic. Associations with outcomes were examined using logistic regression or Cox proportional hazards regression models. All statistical tests were two-sided (version 3.6.2; R Foundation for Statistical Computing, Vienna, Austria). Results Median age at AML diagnosis was 70 yrs (Range: 19-94 yrs), and 67 pts were male. Cytogenetic risk group was favorable (7%), intermediate-normal (46%) or abnormal (20%), and poor risk (27%). 40/61 pts (66%) achieved complete remission (CR). With a median follow-up of 8.0 months (Range: 0.1 - 186), 80 pts (82%) died and 20 (20%) underwent allogeneic transplantation (AlloBMT). Median TMB was 18.2 (Range: 15.0-70.1). In MVA, significant associations with increased TMB were observed in pts with history of prior immunosuppressive therapy or solid organ transplantation (β=19.48, P=0.015), and with FLT3 (β=21.12, P=0.015), MLL2 (β=20.91, P=0.001), and MLL3 (β=11.31, P=0.031) GM's. A borderline association was observed for U2AF1 (β=16.14, P=0.057). TMB was also associated with SM's in TERT (β=25.13, P=0.028); a borderline association with SM's in ABCB1 was not confirmed in MVA (β=-17.98, P=0.069). Additionally, cytogenetic risk group was associated with TMB in MVA (P=0.005), being highest in intermediate-normal and lowest in poor risk groups. Body Mass Index was inversely associated with TMB (unadjusted β=-16.99, P=0.005), but unconfirmed in MVA (β=-8.29, P=0.12). There was no association with CR (OR=0.93, P=0.46), use of (HR=0.96, P=0.64) or relapse risk (HR=1.00, P=0.98) following AlloBMT, or survival (HR=0.97, P=0.56) (Figure). Conclusions Measurement of TMB is feasible in this AML epidemiologic cohort, and we observed important associations with AML risk factors, risk gene SM's, cytogenetic risk group, and driver GM's. We acknowledge the relatively small sample size and possibility of type II error, and therefore these observations require validation in a large prospective cohort which is planned. Figure 1 Figure 1. Disclosures Foran: OncLive: Honoraria; certara: Honoraria; actinium: Research Funding; boehringer ingelheim: Research Funding; novartis: Honoraria; abbvie: Research Funding; servier: Honoraria; taiho: Honoraria; pfizer: Honoraria; revolution medicine: Honoraria; gamida: Honoraria; takeda: Research Funding; sanofi aventis: Honoraria; trillium: Research Funding; syros: Honoraria; aptose: Research Funding; bms: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Murthy: CRISPR Therapeutics: Research Funding. Finn: Jazz: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau; BeiGene: Consultancy, Speakers Bureau; ADC Therapeutics: Consultancy, Speakers Bureau. Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Cerhan: Celgene/BMS: Other: Connect Lymphoma Scientific Steering Committee, Research Funding; Genentech: Research Funding; NanoString: Research Funding; Regeneron Genetics Center: Other: Research Collaboration.

Abstract Background: DDX41 gene is located on chromosome 5q35 and is believed to be a tumor suppressor gene involved in splicing of mRNA. Mutated DDX41 have been identified as germline mutation (m) in families with cases of myeloid neoplasm and have shown to cause acquisition of other somatic mutations resulting in MDS/AML. At the same time, somatic pathogenic DDX41 mutations are known to occur. Variant of unknown significance (VUS) is an intermediate tier between benign and pathogenic (path) mutations (hence uncertain) and can be re-classified based on their clinical impact. In this report we analyzed the clinical impact and relevance of DDX41VUS in patients (pts) being evaluated for myeloid disorders. Methods: We reviewed 4,524 consecutive pts who underwent NGS (MC OncoHeme 42 genes panel) testing between 2018 and 2021 performed on cases of suspected or known myeloid disorders. We identified 58 (1%) consecutive pts with DDX41VUS, among them one pt had proven concurrent DDX41 germline VUS and 7 pts with DDX41VUS had concurrent DDX41path mutation. We analyze clinical characteristics of pts with DDX41VUS and compared it with cohort of 32 DDX41path mutated pts. Results: Baseline characteristics are summarized in Table 1, and Figure 1 illustrates DDX41VUS per case with variant allele frequency (VAF) and observed concurrent mutations. The median VAF for DDX41 VUS was 48 % (range, 14-91%). Co-mutations were found in 14 (28%) pts with VUS, and the reminder (n=44, 72 %) had isolated DDX41VUS. Among them AML (16 [32%]), MDS (14 [28%]), cytopenia (14 [28%]) MPN (3 [6%]), CNL (1 [2%]) and aplastic anemia (1 [2%]) were the commonly occurring myeloid disorder (Table 1, Figure 1). Eleven of 14 pts with isolated cytopenia had isolated DDX41VUS. Conversely, among 15 evaluable pts with isolated DDX41VUS, 13 (87%) pts had normal cytogenetics and 40% of pts had family history of solid or hematological malignancies. We observed a significant difference in hematologic diagnoses: DDX41VUS patients were significantly less often diagnosed with MDS or CCUS, and more often associated with cytopenias NOS. Recurrent, non-random DDX41VUS sequences were observed; most frequent occurring amino acid change among the 58 pts were Gly173Arg (n=6), Met155lle (n=5), Pro258Leu (n=3) Arg479Gln (n=3), Val303Met (n=2), Lys331del (n=2), Arg479His (n=2) and Tyr33His (n=2) (Figure 1). 5 of 6 pts with Gly173Arg had isolated DDX41VUS, and among them 4 were diagnosed with MDS suggesting this could be a clonal event, and possible driver mutation, notable in Figure 1. The median overall survival (OS) of pts with high risk MDS/AML harboring DDX41VUS was not reached (60% alive at 2 years). Between pts with DDX41path and DDX41VUS, proportion of pts with co-mutations (p &gt;0.99), cytogenetic abnormalities (p &gt;0.99), family history of malignancies (p 0.52), time to treatment (p &gt;0.99), MDS progression to AML (p 0.36) and OS (among high risk MDS/AML pts) (p 0.55) was not significantly different, suggesting that phenotypic features of DDX41VUS are similar to DDX41path , and that both carry a similar, more indolent prognosis (Table 1). Conclusion: Our reports demonstrated that DDX41VUS occurs in 1% of patients with myeloid disorders and shares distinct diagnostic features but comparable prognostic features vs. DDX41path, including family history of hematological malignancies. It is possible that many of the cases with 'cytopenias' and DDX41VUS would meet criteria for CCUS if the variant was isolated classified as pathogenic, confirming the importance of extending our understanding of DDX41 variants. Further analysis to characterize the biological impact of DDX41VUS is underway. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Al-Kali: Novartis: Research Funding; Astex: Other: Research support to institution. Patnaik: Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees. Litzow: Astellas: Research Funding; Omeros: Other: Advisory Board; Jazz: Other: Advisory Board; Pluristem: Research Funding; Amgen: Research Funding; Biosight: Other: Data monitoring committee; Actinium: Research Funding; AbbVie: Research Funding. Foran: boehringer ingelheim: Research Funding; abbvie: Research Funding; takeda: Research Funding; trillium: Research Funding; revolution medicine: Honoraria; bms: Honoraria; servier: Honoraria; novartis: Honoraria; pfizer: Honoraria; aptose: Research Funding; taiho: Honoraria; certara: Honoraria; sanofi aventis: Honoraria; syros: Honoraria; actinium: Research Funding; gamida: Honoraria; OncLive: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.

Abstract Background: The DEAD-box helicase 41 (DDX41), an RNA helicase, have been described as a component of the RNA spliceosome (Cheah et al. International Journal of Hematology 2017). Although DDX41 mutations predispose to late-onset higher grade myeloid neoplasms (MN), these patients may have a trend toward favorable prognosis and outcomes. In this work, we describe the clinical characteristics and survival outcomes of isolated and co-mutated DDX41 patients (pts). Methods: We retrospectively analyzed 4,524 consecutive pts who underwent next-generation sequencing (NGS) (OncoHeme 42 genes panel, Mayo Clinic) testing and included 32 pts harboring pathogenic DDX41 mutation and one pt with proven DDX41 germline variant of unknown significance (VUS). Chart review of DDX41-mutated (m) cases between 2009 and 2021 was conducted after IRB approval. We compared overall survival (OS) of unmatched 27 t(8;21)AML and 40 inv(16) AML pts with 10 m DDX41-AML pts. JMP® Pro 14.1.0 Software was used for statistical analysis. Results: DDX41 mutations characteristics: Our cohort included 19 (58%) myelodysplastic syndromes (MDS), 10 (30%) acute myelogenous leukemia (AML), 2 (6%) myeloproliferative neoplasms (MPN), one clonal cytopenia of undetermined significance (CCUS) (3%) and one (3%) germline carrier. Germline testing was carried out in 10 pts, 9 of whom (90%) were confirmed to be germline). The start-loss variant (p.M1I) was the most common mutation type (N=10, 31%). Other types were frameshift (N=9, 28%), missense mutation (N=8, 25%), nonsense (N=3, 9%), and splice site mutation (N=2, 2%). Twenty-one (65.6%) DDX41 mutations clustered in the N-terminus (NT), 7 (22%) in the helicase-C domain (HCD), and 4 (12.5%) in the DEAD-box domain. Compared to NT mutations, patients with HCD mutation had no family history of solid tumors and were more likely to have an accompanying additional DDX41-VUS (0% vs 70%; p=.001) and (N=6, 86% vs. N=2,10%; p=.0001); respectively. I solated vs. co-mutated DDX41: Twenty (60%) pts were isolated-DDX41 and 13 (40%) were co-mutated. The median DDX41-VAF was 48% vs. 45% (p= .2) in the isolated compared to the co-mutated cases, respectively. The median number of co-mutations in the 13 co-mutated cases was 1 (range,1-3) with DNMT3A (38%), ASXL1 (30%), JAK2 (N=3, 23%), and EZH2 (N=2, 15%) were the most common co-mutations detected. Isolated DDX41 had more males (85% vs. 54%, p=.05), the p.M1I variant (47% vs. 8%, p=.02), normal cytogenetics (100% vs. 91%, p= .02), and less family history of solid tumors (77% vs. 33%, p= .02) compared to their co-mutated counterparts. However, there was no difference in OS (p=.99). Comparison of clinical characteristics and hematological features of isolated and co-mutated DDX41 pts are reported in (Table 1). Treatment and survival outcomes in DDX41-MDS/AML : Twenty-three (80%) patients were treated, MDS pts received hypomethylating agents (HMA) (N=10, 71%), HMA plus Venetoclax (HMA+VEN) (N=1, 7%), erythropoiesis-stimulating agents (N=2, 14%) and lenalidomide (N=1 ,7%). AML pts were treated with induction chemotherapy (N=6, 67%) and HMA+VEN (N=3, 33%). Overall response rate of MDS/AML patients was 77% and 100% of AML pts achieved complete remission (CR) when treated with induction chemotherapy or HMA+VEN regimen. There was no significant difference in OS between responders vs. non-responders 2-yr-OS (90% vs. 50%; p=.38) and treated vs. untreated 2-yr-OS (83% vs. 100%; p=.52). Comparing m DDX41-AML vs. core binding factor-AML: After a median follow-up of 33.3 months, all m DDX41-AML patients were alive. There was a significantly better OS in mDDX41-AML patients compared to pts with t(8;21) AML with 2-yr-OS (100% vs. 51%; p=.024) and a trend of better survival when compared to inv(16) AML 2-yr-OS (100% vs. 84%; p=.2). Conclusion We describe the characteristics and outcomes of m DDX41 patients. We demonstrated that isolated and co-mutated m DDX41 patients have different features. Isolated DDX41 patients had male predominance, more p.M1I variant, normal cytogenetics and less family history of solid tumors. In this study we found that m DDX41 AML has high response to treatment and has comparable (if not possibly better) OS compared to other "favorable risk" AML. This study, although limited by the small number of patients, supports the universal testing for DDX41 mutation in adults with MN diagnosis. Figure 1 Figure 1. Disclosures Al-Kali: Astex: Other: Research support to institution; Novartis: Research Funding. Foran: abbvie: Research Funding; OncLive: Honoraria; boehringer ingelheim: Research Funding; trillium: Research Funding; pfizer: Honoraria; takeda: Research Funding; revolution medicine: Honoraria; bms: Honoraria; gamida: Honoraria; actinium: Research Funding; aptose: Research Funding; novartis: Honoraria; servier: Honoraria; taiho: Honoraria; syros: Honoraria; sanofi aventis: Honoraria; certara: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Salama: Mayo Clinic: Current Employment, Other: Mayo Clinic had the contractual work for the central pathology review for this study and I was one of the reviewing pathologists; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Litzow: Astellas: Research Funding; Biosight: Other: Data monitoring committee; Amgen: Research Funding; AbbVie: Research Funding; Actinium: Research Funding; Pluristem: Research Funding; Jazz: Other: Advisory Board; Omeros: Other: Advisory Board. Patnaik: Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Abstract Introduction: Allogeneic stem cell transplantation (allo-SCT) can be curative for patients with hematologic malignancies. Despite optimization of supportive measures, the risk of non-relapse mortality is a particularly important consideration in older individuals. Sarcopenia, defined as low skeletal muscle mass, has been shown to be associated with decreased overall survival in cancer patients and may identify individuals at higher risk of treatment-related complications. Methods: Using Mayo Clinic Arizona's hematopoietic stem cell transplantation database, patients aged 60 years or older who underwent allo-SCT between 2008 and 2018 were identified. Patients who underwent abdominal computed tomography (CT) at our institution within 90 days prior to their transplant date were included in the study. The skeletal muscle area (SMA) was obtained using a fully automated algorithm for segmenting abdominal CT images to quantify body composition based on a deep learning approach (Weston et al., Radiology, 2019). The skeletal muscle index (SMI) was then calculated using the SMA and the subject's height at the time the CT was obtained. Sarcopenia was defined based on previously described consensus (Cruz-Jentoft et al., Age Ageing, 2010; Magudia et al., Radiology, 2021). T-tests and Fisher's exact tests compared patient characteristics between groups, where appropriate. Kaplan-Meier methods were used to construct survival times. Log-rank tests compared survival distributions and Cox proportional hazards models estimated hazard ratios. Results: A total of 79 patients met inclusion criteria (Table 1). Of these, 50 (63%, n=50/79) had sarcopenia, and 29 (37%, n=29/79) had normal skeletal muscle mass. Among the sarcopenia group, 43 (86%, n=43/50) had SMI measurements. No differences were seen between groups in age at transplant, sex, Karnofsky performance scale, disease risk index, or conditioning regimen intent. There was no statistically significant difference in overall survival between those with sarcopenia and those with normal skeletal muscle mass (log-rank p=0.18). Median survival was 3.3 years (95% CI: 0.8, not estimable (NE)) for those with sarcopenia and 3.6 years (95% CI: 1.3, NE) for those with normal skeletal muscle mass. Given the infrequency of events, the upper bounds of the median survival confidence intervals were not estimable. The unadjusted hazard ratio (HR) for sarcopenia versus normal skeletal muscle mass was 1.65 (95% CI: 0.79, 3.47; p=0.18). Males had a higher mean SMI than females, as expected (50.4 versus 37.5, p&lt;0.001; mean difference 13.0, 95% CI: 8.9, 17.1). Without considering sex, higher or lower SMI was not associated with survival time in a Cox model in those with sarcopenia (HR: 0.97, 95% CI: 0.92, 1.03; p=0.32). Sex alone was also not associated with any survival benefit among these 43 patients. After adjusting for the difference seen in SMI between sexes, on average, those with higher SMI were associated with a survival benefit (HR: 0.92, 95% CI: 0.84, 0.99; p=0.039). This amounts to roughly an 8% reduction in hazard rate as SMI increased. Conclusions: The presence of sarcopenia alone was not associated with overall survival in patients 60 years and older undergoing allo-SCT for hematologic malignancy. Rating sarcopenia severity using SMI may assist in identifying high risk individuals with sarcopenia as lower sarcopenia severity was associated with improved overall survival. Further studies are warranted to explore the possible impacts of interventions directed at improving skeletal muscle mass on transplant-related outcomes. Figure 1 Figure 1. Disclosures Gaulin: DeciBio: Honoraria; Olson Research Group: Honoraria. Jain: CareDx: Other: for advisory board participation; CTI Biopharma: Research Funding; Syneos Health: Research Funding; Bristol Myers Squibb: Other: for advisory board participation; Targeted Healthcare Communications: Consultancy. Palmer: PharmaEssentia: Research Funding; Incyte: Research Funding; Sierra Oncology: Consultancy, Research Funding; CTI BioPharma: Consultancy, Research Funding; Protagonist: Consultancy, Research Funding.