Byrd, John C.

Abstract BACKGROUND: We have previously studied and reported that the combination of pentostatin (P, 2 mg/m2), cyclophosphamide (C 600 mg/m2) and rituximab (R 375 mg/m2) in previously untreated CLL is highly effective with an overall response (OR) rate of over 90% and a complete response rate (CR) of 41% (Blood109:405–411, 2007). We also found that this regimen can be effective even in older patients (>70 y), those with elevated beta-2 microglobulin levels, and patients with mildly reduced creatinine clearances (Cancer. 109:2291–2298, 2007). To determine whether similar benefit could be achieved without inclusion of an alkylating agent, we conducted a follow-up trial testing pentostatin and rituximab without cyclophosphamide and employing a higher pentostatin dose (4 mg/m2). METHODS: Eligible pts had documentation of active CLL by standard NCI-WG criteria, and were previously untreated. Treatment schema consisted of 6 cycles of pentostatin (4 mg/m2) and rituximab given every 21 days. Pentostatin was given on the first day of each cycle following infusion of rituximab. Rituximab was given at 100mg/m2 IV at day 1, then 375 mg/m2 IV on days 3 and 5 of the first treatment cycle. During cycles 2 to 6, Rituximab was given at 375 mg/m2 as a single IV infusion day 1 of week 4, 7, 10, 13 and 16. All patients were staged two months after completion of the 6 cycles of PR using the NCI-WG criteria. PATIENT CHARACTERISTICS: Overall, 33 patients were enrolled at Mayo Clinic and Ohio State University between July 2005 and February 2008. All 33 were eligible: 82% male, median age 65 (range: 45–81), with 9 (27%) being 70 years or older. 76% had a baseline ECOG PS of 0, and the rest were ECOG PS 1. Overall, 36% of patients had intermediate Rai risk (stage I–II) and 63% high Rai risk (stage 3–4) disease. Prognostic testing revealed that 36% were CD38+, 50% were Zap-70 +, and 39% had an unmutated IgVh status. Chromosome analysis by FISH found that 99% had detectable FISH panel defect, including 61%, 27% and 3% of patients with 1, 2, or 3 FISH detects, respectively. RESULTS: 28 of 33 patients (85%) completed therapy. While on treatment, 6 pts (18%) had a dose held or modified with 4 of these delays due to hematologic AE. For adverse events deemed at least possibly related to treatment, 4 (12%) pts experienced grade 3+ hematologic toxicity and 5 (15%) experienced grade 3+ non-hematologic toxicity. Out of all 33 enrolled patients, the overall response rate was 79% with 10 CR, 6 nPR, and 10 PR. At the time of this analysis, 29/33 patients are still alive with a median follow-up time of 14 months on surviving patients. To date 17/33 (52%) of patients have progressed with an estimated median time to progression of 12 months (95% CI: 8.5–21 months). 13/26 responders have progressed. Median duration of response is 12.5 months ((95% CI: 11–21 months). Finally, since eligibility were nearly identical and enrollment accrued at the same two academic centers, we compared the patient characteristics, response rates, and PFS of the 33 patients treated with PR to the 64 patients previously treated on our PCR trial. Patients in the two studies were generally similar with respect to demographic and prognostic characteristics, although patients in the PR trial had higher WBC and were less likely to be IgVH unmutated (Table). Although the differences in ORR and CR rate were not significantly different, the PFS appeared to be inferior in patients treated with PR as compared to PCR (12 months vs. 31 months; p=0.003). CONCLUSION: Although the PR regimen achieves a high OR response rate, the PFS appears inferior to PCR therapy. These findings suggest that increasing the purine nucleoside analogue dose does not eliminate the need to include cyclophosphamide in chemoimmunotherapy for patients with CLL. PCR Trial N=64 PR Trial N=33 P value Age, median(range) 63 years (38–80) 65 years (45–81) 0.34 ≥70 years(%) 28% 27% Male 77% 82% 0.61 Rai stage 0 5% 0 0.46 Rai stage I–II 42% 36% Rai stage III–IV 53% 64% White Cell Count, median(range) 79 × 109/L (11–519) 127 × 109/L (8–430) 0.04 <50 × 109/L 36% 28% 50–149 × 109/L 44% 25% >150 × 109/L 20% 47% Serum B2-microglobulin, median(range) 3.97 (1.8–13.5) 3.80 (2.0–8.2) 0.81 >2 × Upper Limit Normal(%) 57% 58% CD38 Positive 34% 36% 1.00 ZAP-70 Positive 36% 50% 0.26 IgVH Unmutated 71% 39% 0.004 FISH Normal, 11% 9% 13q- 35% 42% +12 21% 24% 6q- 2% 0 11q- 22% 18% 17p- 6% 3% other 3% 3% Overall Response Rate 91% 79% 0.12 Complete Response Rate 41% 30% 0.38 Median PFS 31 months 12 months 0.003

Abstract Approximately 10–15% of patients with CLL report a family history (FH) of CLL or a related lymphoproliferative disorder. Whether the biologic features of CLL that occurs within families differ from those that occur sporadically is unknown. A recent study addressing this question has reported that mutated IgVH is significantly more common among familial than sporadic CLL, 68% vs 47%, although the distribution of VH genes used was similar (Blood111:5691, 2008). Therefore we compared IgVH mutational status and gene usage, as well as other biologic features, between familial and sporadic CLL derived from patients enrolled on the CLL Research Consortium (CRC) Tissue Core. Of 4533 patients enrolled in the CRC database and tissue bank, 3328 had adequate family history information, and these were subdivided into 4 groups: FH of CLL (n=468), FH of other heme cancer but not CLL (n=421), FH of non-heme cancer (n=1444), and sporadic cases (no FH of any cancer) (n=995). Of those patients reporting a FH of CLL, 63% had at least one affected 1st degree relative, 20% at least one affected 2nd or greater degree relative, and 17% unknown. 68% of those reporting a FH of CLL also had other cancers in their family. Patients reporting a FH of CLL or non-CLL heme cancers were more frequently white (91%), compared to 87% of those with FH non-heme cancer and 84% of sporadic CLL patients (p=0.005). The proportion of CLL cases that were female was similar among groups, at 37.6% of patients with FH CLL, as compared to 32.5% of sporadic patients (p=0.12). The age at diagnosis of CLL also did not differ among the four groups, although a trend toward a difference was observed between the FH CLL patients, whose mean age at diagnosis was 54.9 (range 30, 93), and the sporadic patients, whose mean age at diagnosis was 56.1 (range 30, 84) (p=0.08). No significant difference was observed among groups in the frequency of IgVH mutation (defined as <98% homology to the most similar germline VH gene), which was present in 50.3% (95% CI 44.5–56.2) of patients with FH CLL, 56.3% (95% CI 49.7–62.7) of patients with FH other heme cancer, 51.9% (95% CI 48.5–55.3) of patients with FH non-heme cancer, and 51.3% (95% CI 47.0–55.5) of sporadic patients (p=0.53). The pattern of IgVH family gene usage also did not differ among the groups; the VH3 subgroup was most commonly used, at 45%, 52%, 46% and 47% of patients with FH CLL, FH other heme cancer, FH non-heme cancer and sporadic, respectively. The VH1 subgroup was next most common in all 4 groups, at 28%, 24%, 26% and 25%, respectively, followed by the VH4 subgroup, at 19%, 17%, 21% and 21%. In addition, no significant difference was observed in the distribution of ZAP-70 expression amongst the four family history subgroups (mean %ZAP-70 expression, 22.8% for FH CLL patients and 24.4% for sporadic patients, p=0.31), or in the fraction considered ZAP-70 positive (>20% expression), which was 40% for FH CLL patients and 45% for sporadic patients (p=0.16). The relative expression of CD23 and CD38 did not differ among groups, nor did levels of beta-2-microglobulin or IgG determined at time of CRC enrollment. Time from diagnosis to initial treatment for each of the subgroups is currently being analyzed. These data on patterns of biologic risk factors in this large group of familial CLLs compared to sporadic CLLs suggest that familial and sporadic CLL are biologically similar and therefore likely to have similar pathogenetic mechanisms, including perhaps an underlying genetic susceptibility.

Abstract Myeloid cell factor-1 (Mcl-1) is an anti-apoptotic member of the Bcl-2 protein family that associates with tumor cell survival and drug resistance in chronic lymphocytic leukemia (CLL). Increased Mcl-1 expression is associated with failure to achieve remission after chemotherapy with fludarabine and chlorambucil in CLL patients. However, the influence of Mcl-1 expression has not been examined in CLL trials using treatment regimens that contain rituximab, which has shown substantially improved outcomes for a large subset of patients and have become a mainstay in the therapy of newly diagnosed CLL. We previously reported that combination chemoimmunotherapy with pentostatin, cyclophosphamide, and rituximab (PCR) has significant clinical activity with low accompanying toxicity in previously untreated CLL patients, and is especially well tolerated in older patients in whom the use of fludarabine may be associated with prohibitive toxicities. As part of this study, we prospectively investigated association of Mcl-1 protein expression with response and progression-free survival. Eligible patients received a regimen consisting of pentostatin (2 mg/m2), cyclophosphamide (600 mg/ m2), and rituximab (375 mg/m2) given intravenously on day 1 of a 21-day cycle for a maximum of 6 cycles. Responses were assessed according to NCI 1996 criteria and included bone marrow evaluation and two-color flow cytometry two months after completion of therapy. Flow cytometry-negative status was defined as less than or equal to 1% CD5+/CD19+ cells. Of the 64 patients evaluated in this trial, clinical responses were seen in 58 (91%), with 26 (41%) complete responses (CR), 14 (22%) nodular partial responses (nPR), and 18 (28%) partial responses (PR). Lysates from peripheral blood cells obtained pre-treatment were analyzed for Mcl-1 expression by immunoblot. Mcl-1 as a continuous variable was not found to be associated with other commonly described risk factors. However, Recursive Partitioning Analysis (RPA) was devised employing Mcl-1 expression as a continuous variable, which revealed an optimal cut point of 0.85. At this cutoff, flow cytometry-negative status was significantly different between the two groups (p=0.01) and median PFS was significantly higher (p=0.02) in patients with Mcl-1 levels of <0.85 (50.8 vs. 18.7 months). No difference by Mcl-1 expression was noted in other pre-treatment or response parameters. Our data describes the first prospective validation of Mcl-1 over-expression adversely influencing both the likelihood of attaining a flow cytometry-negative complete remission and extended progression free survival. Mcl-1 expression was also independent of other risk factors, indicating additional benefit for this measure in assessing patients. Mcl-1 expression may therefore predict poor response to chemoimmunotherapy, and these findings advocate pursuing therapeutic agents targeting this important anti-apoptotic protein.

Abstract Fluorescence in situ hybridization (FISH) probes and analysis methods for B-cell Chronic Lymphocytic Leukemia (CLL) vary extensively among cytogenetic laboratories. This is not unexpected, as neither national nor international standards have been established for most FISH studies. Lack of standardization is problematic when data collected at multiple institutions are used for clinical correlative studies. To circumvent such problems, the five participating laboratories in the CLL Research Consortium (CRC) designed and executed a joint CLL FISH validation study. Methods: Initially a survey was sent to assess equipment, methods and experience with FISH for CLL. In a pilot study to compare laboratory performance in scoring patient samples, slides from ten patients were prepared and sent to each participating lab to be hybridized with five probe sets (= 50 hybridizations) and analyzed according to their local protocol. In a second pilot study, slides from two patient samples and identical probe sets were sent to the participating labs where hybridization and analysis were carried out according to their local protocol. Next, technologists and directors from all participating labs attended a workshop where technologists working in pairs scored nuclei together, techniques and scoring criteria were established, and consensus reached on other concerns. In a proficiency test nine months after the workshop, slides from two patient samples (10 hybridizations) were hybridized and scored according to each lab’s protocol and results shared using a common reporting form. Results: Survey results indicated that four labs used the same commercially available CLL FISH panel, and one used a combination of probes from the same vendor plus several home-brew probes. Each lab scored between 100 and 200 nuclei per hybridization site, and each independently set normal cutoff values. The FISH panel included probes to detect 11q, 13q, and 17p deletions, trisomy 12, and IGH gene rearrangement. One lab included probes to detect 6q deletion. In the first pilot study each lab used their hybridization methods, probe sets, and scoring criteria. Differences among labs were observed due to variations in probe strategy, reporting of anomalies, and perhaps most important, scoring criteria. Probe strategy differences resulted in variable reporting of 11q- vs monosomy 11 and 12q duplication vs trisomy 12. Some participants reported 13q-x1 and 13q-x2 as subclones and some reported only 13q-. One lab reported an IGH rearrangement whereas the others scored IGH as normal. In the second pilot study each lab used the same methods and probe sets to facilitate comparison of scoring by the technologists. All labs correctly identified the abnormalities, and there were no false positive results. Minor scoring differences were attributed to variation in scoring criteria or inexperience with an unfamiliar FISH probe strategy. The proficiency test that followed the workshop demonstrated 100% concordance in identification of abnormalities. Inter-lab scoring was much improved compared to the first pilot study. The only exceptions were a 13q- range of 72–90% in one case, and a 17p- range of 38–67% in another case. Conclusion: The pilot studies identified a need to develop common scoring criteria. The subsequent workshop and proficiency test demonstrated that the collaborative effort resulted in more standardized scoring among the CRC laboratories. Our collaborative study emphasizes the need to establish rigorous standards and guidelines for FISH procedures and scoring criteria. Standardization of FISH methods among participating laboratories will enhance the confidence in FISH studies for both clinical applications and cooperative intergroup clinical research.

Abstract We previously demonstrated that apoptosis-inhibiting proteins (e.g., Bcl-2, Mcl-1, and XIAP) are important in predicting response to chemotherapy and antibody therapy for CLL. Additionally, genetic abnormalities and epigenetic control of gene expression have become increasingly important in understanding the prognosis and potential therapeutic opportunities in this disease. Greater than 80% of patients with CLL have genetic abnormalities detectable by FISH. Important subsets include those with a less favorable prognosis (deletions of 17p, 11q), an intermediate prognosis (trisomy 12), or a favorable outcome (deletion of 13q). PTPRO, encoding a receptor-type tyrosine phosphatase, is a specific tumor suppressor gene located in chromosomal region 12p12.3. PTPRO has been highly characterized as inhibiting anchorage-independent tumor growth in human lung carcinomas. This gene has been found to be silenced by promoter methylation, and can be re-expressed by hypomethylating agents in human lung tumor models. Thus, we examined the methylation profile of the promoter region of PTPRO in primary leukemic cells from patients with CLL, and in B cells obtained from normal volunteers. Analysis of the PTPRO CpG island by methylation-specific PCR and combined bisulfite restriction analysis (COBRA) demonstrated that this region was methylated in 91% of samples from 46 patients, whereas it was unmethylated in control B cells from normal volunteers. Specific quantitative determinations of important proteins related to apoptosis in the leukemic cells from 20 of these patients showed that, in the group with methylation of the PTPRO promoter, there was a significant elevation of Bcl-2 (p=0.079), Mcl-1 (p=0.004), XIAP (p=0.048), Bcl-2/BAX ratio (p=0.0024), and Mcl-1/BAX ratio (p=0.0017). There was no apparent relationship with FISH category or immunoglobulin VH mutational status. Thus, PTPRO promoter methylation analysis may identify a subset of CLL patients less likely to respond to therapy, and provide a potential reversible target for new therapeutic approaches to this disease. Finally, analysis of methylation of CLL samples by restriction landmark genome scanning also revealed methylation of genes for three additional protein tyrosine phosphatases: PTPRN2, PTPRZ2, and PTPN11. Increases in methylation of two of these (PTPRN2 and PTPRZ2) in CLL samples relative to control B cells was confirmed by COBRA. These results provide additional potential molecular targets for CLL therapy.

Abstract We performed immunophenotypic and IgVH mutation analyses on the chronic lymphocytic leukemia (CLL) cells of 307 patients for expression of CD38, ZAP-70, and IgVH mutation status to determine the relative strength of each in predicting the need for early treatment. For this we assessed the time from diagnosis to initial therapy for progressive and/or symptomatic disease. Patients confirmed to have remained untreated were censored for this endpoint. Expression of CD38 was defined as the proportion of CD38-stained CLL cells that had fluorescence intensity above a defined threshold. Similarly, cases were defined as ZAP-70+ when 20% or more of the ZAP-70-stained CLL cells had fluorescence intensity above a defined threshold, as described (NEJM351:893, 2004). CLL cells were classified as expressing mutated IgVH genes if they expressed IgVH with <98% homology with a known germline IgVH gene. The median percentage of cells expressing CD38 in our cohort was 11.5% (range 0.1% to 99.5%). In patients with multiple samples, the CD38 expression level appeared constant over time, with a median S.D. of 0.8%. We defined patient samples that had CD38 expression levels at or below the median as having low expression. There was a significant association between low expression of CD38 and lack of ZAP-70 or expression of a mutated IgVH (p < 0.0001 for each assessment by the Fisher exact test). Median level of CD38 among cases expressing mutated IgVH was 4.0%, compared to 27.4% among cases expressing unmutated IgVH (p < 0.0001 by the Wilcoxon rank sum test). Median level of CD38 among ZAP-70 negative cases was 5.3%, compared to 27.2% among ZAP-70+ cases (p < 0.0001 by the Wilcoxon rank sum test). Patients with low-level expression of CD38 had a median time to initiation of therapy of 8.2 years; whereas, patients with high-level expression of CD38 had a median time to initiation of therapy of 4.0 years (p<0.0001). Although high-level expression of CD38 was associated with a shorter time from diagnosis to initiation of therapy (p < 0.0001 in a Cox proportional hazards regression), the inclusion of IgVH mutation status (p < 0.0001) or expression of ZAP-70 (p < 0.0001) in these models reduced the contribution of CD38 status to a p-value of 0.051 (ZAP-70 model) or 0.052 (mutation status model). Although ZAP-70 expression and mutation status each contributed significantly to the hazard of initiating therapy in a Cox proportional hazards model, high-level expression of CD38 did not add significantly to the model that already addresses ZAP-70 and mutational status, p=0.425. As such, although knowledge of the CD38 expression level can be used as a predictor of the time from diagnosis to the initiation of therapy it provides only marginal value if either the IgVH mutational status or expression of ZAP-70 is known and no value if knowledge of both ZAP-70 expression and IgVH mutational status is available.

Abstract Background: MDX-060 is a fully human anti-CD30 IgG1k monoclonal antibody that induces Fc-receptor mediated killing of CD30 expressing cell lines and inhibits the growth of CD30-expressing tumor cells in a murine xenograft model. We previously reported data from the first 31 patients in a Phase I/II open-label, dose escalation study of MDX-060 in patients with relapsed or refractory CD30+ lymphomas. The purpose of the study is to determine the safety and tolerability profile of the drug, and to preliminarily evaluate efficacy. We now update the findings of this study, including reporting the results of a new higher dose cohort. Methods: In the Phase I portion of the study, MDX-060 was administered intravenously at dose levels of 0.1, 1, 5, or 10 mg/kg weekly for 4 weeks to cohorts of 3–6 patients. In the Phase II portion of the study additional patients were administered MDX-060 intravenously at 10 (n=10) or 15 (n=17) mg/kg weekly for 4 weeks. Responses were assessed at month 2. Results: To date, MDX-060 has been administered to 48 patients; 40 with Hodgkin’s disease (HD), 6 with anaplastic large cell lymphoma (ALCL) and 2 with other CD30 positive lymphomas. MDX-060 has been well tolerated, and a maximum tolerated dose has not been identified. There were 2 drug-related serious adverse events, 1 patient in the 1 mg/kg dosing cohort had Grade 3 elevated liver transaminase, and 1 patient in the 15 mg/kg cohort had Grade 3 pneumonia/Grade 4 ARDS. Objective clinical responses have been observed in 5 patients. Two patients had complete responses; 1 patient with ALCL in the 1 mg/kg cohort lasting 100 days, and 1 patient with HD in the 15 mg/kg cohort lasting 117 days. Retreatment of the ALCL patient with MDX-060 resulted in a second complete response. Three patients had partial responses; 1 patient with HD in the 5 mg/kg cohort lasting 92 days, and 1 patient with HD in the 15 mg/kg cohort, which is continuing at 176 days. In addition, 1 patient with ALCL in the 15 mg/kg cohort had a partial response. Stable disease was observed in 17 patients following MDX-060 administration with a median duration of 132 days (range:15–387 days). Baseline soluble CD30 levels in the plasma were evaluated, but did not appear to correlate with clinical outcome. Conclusions: Preliminary evidence indicates MDX-060 to be well tolerated in heavily pre-treated patients with CD30+ lymphomas, with minimal toxicity, and with clinical activity observed at 1 mg/kg, 5 mg/kg and 15 mg/kg. Additional patients are being accrued at 1 mg/kg and 5 mg/kg to more accurately assess efficacy at these dose levels.

TPS8619 Background: Chemoimmunotherapy (CIT) treatment approaches such as FCR have markedly improved outcomes for CLL pts when administered as initial or second-line therapy. Despite this progress, virtually all pts relapse and effective salvage regimens that induce durable remissions or can be administered safely to elderly pts or those with comorbidities are lacking. BTK, an essential mediator of B-cell receptor signaling, is a novel target in CLL. Ibrutinib, a first-in class inhibitor of BTK, promotes apoptosis and inhibits proliferation, migration and adhesion in CLL cells. Phase II data of ibrutinib monotherapy in RR CLL demonstrated an estimated PFS and OS of 75% and 83% respectively at 26 months (Byrd Abst #189 ASH 2012). These findings confirmed BTK as an important target in CLL and supported initiation of a pivotal phase III study in pts with RR CLL/SLL. Methods: PCYC-1112-CA is an ongoing international Phase 3 randomized controlled study of ibrutinib versus ofatumumab for treatment of pts with RR CLL/SLL. The study is enrolling 350 planned pts in 9 countries. Pts are randomized 1:1 to receive ibrutinib 420 mg orally once daily or ofatumumab per the package insert at 300 mg for the first dose, then 2000 mg for a total of 12 doses over 24 weeks. Pts are stratified based on del 17p and disease refractory to purine analogs. Key inclusion criteria include RR CLL/SLL with >= 1 prior line of therapy including pts who experienced a short remission duration to purine analog based CIT, pts who are older or have comorbidities, and pts with del 17p. Pts must have active disease meeting criterion for requiring therapy and measurable nodal disease by CT. Key exclusion criteria include Richter’s transformation, stem cell transplantation within 6 months, GVHD or immunosuppression, platelet count <30,000 cells/ul or use of warfarin The primary objective of the study is PFS evaluated by an IRC. Other outcomes include ORR, OS, hematologic improvement, and safety. An independent DMC is monitoring the study. Clinical trial information: NCT01744691.

6521 Background: Genomic features including lack of IgVH mutations, del(11q), del(17p), and p53 mutations have been reported to predict clinical course and overall survival in CLL patients (pts). Bcl-2 family proteins and ZAP-70 have also been explored as predictors in CLL. Methods: We prospectively evaluated the prognostic significance of clinical features and laboratory variables on response and progression-free survival (PFS) following treatment with fludarabine (F, n=132) or fludarabine plus cyclophosphamide (FC, n=137) as part of the US Intergroup Trial E2997 for previously untreated CLL. Results: FC therapy had higher complete response (CR) (23.4% versus 4.6%), overall response (OR) (74.3% versus 59%), and median PFS (31.6 mos versus 19.2 mos) compared to F. CR and OR were not significantly different based on interphase cytogenetics, IgVH status, or p53 mutation. IgVH status or levels of ZAP-70, Bcl-2, Bax, Mcl-1, XIAP, Caspase-3, and Traf-1 proteins were not associated with clinical response or PFS. IgVH status and ZAP-70 levels were associated with time from diagnosis to treatment. Using a model including treatment arm, pts with del(17p) or (11q) had significantly shorter PFS (hazard ratios 3.54 and 2.05 respectively). In pts with a p53 mutation without del(17p) there was no enhancement of the model predicting poorer outcome, nor did IgVH status enter the model for predicting PFS. Conclusions: Combination chemotherapy is associated with a higher CR, OR, and PFS. Also, initiation of therapy for pts with Rai stages 0/1 resulted in a higher response rate. Del(17p) and del(11q) are highly predictive of shortened PFS with fludarabine-based chemotherapy. IgVH and p53 mutational status, as well as expression of ZAP-70, Bcl-2 family proteins, and CD38, did not predict response or PFS. ZAP-70 expression is associated with cytogenetic subsets predicted to have a worse overall prognosis, but did not identify pts who will do poorly with therapy. A combination of clinical staging and cytogenetics provide support for future risk-stratified treatment of CLL. Pts with a projected short response duration can be identified for future investigational strategies. No significant financial relationships to disclose.

Introduction: Inherited predisposition to myeloid malignancies in adults may be more common than previously suggested with recent studies suggesting a prevalence of candidate predisposition alleles in 15-20% of patients. An inherited predisposition may not be considered in older AML patients despite significant clinical implications for family members as potential stem cell transplant donors. To better define the role of inherited genetic alterations in older AML patients , we analyzed a unique cohort of newly diagnosed older (&gt;60 years) patients enrolled in) Beat AML® Master Trial(BAMT) for candidate genes associated with a known or putative inherited cancer predisposition. Methods: We analyzed extracted DNA from skin and/or saliva samples compared to paired leukemia samples of 176 AML patients enrolled in the BAMT. All samples underwent genomic profiling using a modified FoundationOne®Heme platform (capture-based) and/or the Oregon Health Sciences University panel (amplicon-based), evaluating 477 and 220 genes respectively, with a known role in hematologic malignancies. Germline(GL) variants were identified by the haplotype-based Bayesian genetic variant detector FreeBayes and using variant allele frequency(VAF) values. The pathogenicity and clinical significance of the variants was interpreted according to the 2015 ACMG/AMP guidelines while the AMP/CAP/ASCO guidelines and various disease databases were used in the somatic variant calls. Results: -The mutational landscape of the 176 newly diagnosed older AML patients is detailed in Table 1. Our cohort has a higher proportion of adverse risk patients, consistent with an older AML patient population. 27 pathogenic or likely pathogenic GL variants were detected in 24 AML patients, with a germline mutation prevalence of 14% in this cohort. Deleterious GL mutations were found in the gene DDX41 (5), followed by SBDS (4), CHEK2 (4), MPL (3), BRCA2 (2), HAX1 (2), DNAH9 (2), FANCA (1), FANCL (1), SAMD9 (1), BLM (1), and ATM (1) (Table 2). The types of mutations included missense mutations (9), nonsense mutations (8), frameshift mutations (7), splice site mutations (2), and an exonic deletion (1). Family history of leukemia was available on 129 patients from this cohort. 12 patients have at least one family member with AML. Of these 12 patients, 2 had a deleterious GL alteration identified. Along with the 14% prevalence of pathogenic/likely pathogenic GL mutations , there were an additional 181 GL variants of unknown significance (VUS) in 102 patients, seen in genes implicated in inherited predisposition to hematologic malignancies, most commonly variants in DOCK8 and CREBBP(&gt;5% VUS) with both genes being implicated in leukemogenesis . As skin and/or saliva samples were collected at the time of AML diagnosis, tumor-in-normal presence was expectedly observed. The median VAF for somatic mutations was significantly lower (p &lt; 0.0001) in skin (median 6%; mean 9%; standard deviation (SD) 10%; N=562 variants) than in saliva (median 17%; mean 21%; SD 16%; N=368 variants). In 37 patients who had both saliva and skin tissue concomitantly ,skin had a significantly lower tumor-in-normal presence (median VAF 5%, mean 8%, SD 8%;) than saliva (median 15%, mean 20%, SD 16%)(p &lt; 0.0001). Conclusions: We found a prevalence of 14% pathogenic/ likely pathogenic GL mutations in cancer predisposition genes in this unique cohort of newly diagnosed older AML patients. This finding has potential clinical implications for patients and family members. We also found a large number of VUS in genes implicated in hematological malignancies. Additional studies linking candidate VUS' to familial predisposition to understand contribution to AML predisposition are needed. We are in the process of comparing the manual curation of ACMG classification of pathogenicity with a computational curation algorithm to assess the potential for automated classification of GL variants. Our study suggests the choice of source for germline DNA in patients with AML is variably impacted by leukemic contamination. Cultured skin fibroblasts are the current standard for tumor-normal paired genotyping, with the caveat of being labor intensive and not routinely performed in clinical diagnostic laboratories. This is a critical consideration for rapid GL screening of patients and family members with hematologic malignancies and suspected cancer predisposition. Disclosures Borate: Novartis: Consultancy; Takeda: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; AbbVie: Consultancy. Mims:Abbvie: Membership on an entity's Board of Directors or advisory committees; Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Astellas Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Stein:Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas Pharma US, Inc: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo, Inc.: Membership on an entity's Board of Directors or advisory committees; Bioline: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees. Patel:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Dava Oncology: Honoraria; France Foundation: Honoraria. Baer:Astellas: Research Funding; Abbvie: Research Funding; AI Therapeutics: Research Funding; Forma: Research Funding; Incyte: Research Funding; Kite: Research Funding; Takeda: Research Funding. Stock:Agios: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; UpToDate: Honoraria; Daiichi: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Kite, a Gilead Company: Membership on an entity's Board of Directors or advisory committees; Research to Practice: Honoraria. Schiller:Bristol Myer Squibb: Research Funding; Celgene: Research Funding, Speakers Bureau; Constellation Pharmaceutical: Research Funding; Daiichi Sankyo: Research Funding; Agios: Research Funding, Speakers Bureau; Amgen: Other, Research Funding; Astellas: Research Funding; Biomed Valley Discoveries: Research Funding; Eli Lilly and Company: Research Funding; FujiFilm: Research Funding; Genzyme: Research Funding; Gilead: Research Funding; Incyte: Research Funding; J&J: Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Karyopharm: Research Funding; Novartis: Research Funding; Onconova: Research Funding; Pfizer Pharmaceuticals: Equity Ownership, Research Funding; Sangamo Therapeutics: Research Funding. Blum:AmerisourceBergen: Consultancy; Forma: Research Funding; Xencor: Research Funding; Boehringer Ingelheim: Research Funding; Celgene: Research Funding; Astellas,: Research Funding. Shami:JSK Therapeutics: Employment, Equity Ownership; Amgen: Research Funding; Pfizer: Research Funding; Cantex: Research Funding; Aptevo: Research Funding; Jazz: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Lone Star Thiotherapies: Equity Ownership. Foran:Agios: Honoraria, Research Funding. Byrd:Acerta: Research Funding; Gilead: Other: Travel Expenses, Research Funding, Speakers Bureau; Genentech: Research Funding; Novartis: Other: Travel Expenses, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Other: Travel Expenses, Research Funding, Speakers Bureau; TG Therapeutics: Other: Travel Expenses, Research Funding, Speakers Bureau; Ohio State University: Patents & Royalties: OSU-2S; BeiGene: Research Funding; Janssen: Consultancy, Other: Travel Expenses, Research Funding, Speakers Bureau. Druker:OHSU (licensing fees): Patents & Royalties: #2573, Constructs and cell lines harboring various mutations in TNK2 and PTPN11, licensing fees ; Bristol-Myers Squibb: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Research Funding; Novartis: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Patents & Royalties: Patent 6958335, Treatment of Gastrointestinal Stromal Tumors, exclusively licensed to Novartis, Research Funding; Monojul: Other: former consultant; Vivid Biosciences: Membership on an entity's Board of Directors or advisory committees, Other: Stock options; Beat AML LLC: Other: Service on joint steering committee; Merck & Co: Patents & Royalties: Dana-Farber Cancer Institute license #2063, Monoclonal antiphosphotyrosine antibody 4G10, exclusive commercial license to Merck & Co; Dana-Farber Cancer Institute (antibody royalty): Patents & Royalties: #2524, antibody royalty; Aileron Therapeutics: #2573, Constructs and cell lines harboring various mutations in TNK2 and PTPN11, licensing fees , Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Patents & Royalties, Research Funding; Pfizer: Research Funding; ALLCRON: Membership on an entity's Board of Directors or advisory committees; Amgen: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Aptose Biosciences: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Beta Cat: Membership on an entity's Board of Directors or advisory committees, Other: Stock options; The RUNX1 Research Program: Membership on an entity's Board of Directors or advisory committees; Patient True Talk: Consultancy; GRAIL: Equity Ownership, Other: former member of Scientific Advisory Board; Cepheid: Consultancy, Honoraria; Blueprint Medicines: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Burroughs Wellcome Fund: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Pfizer: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Research Funding; ICON: Other: Scientific Founder of Molecular MD, which was acquired by ICON in Feb. 2019; CureOne: Membership on an entity's Board of Directors or advisory committees; Gilead Sciences: Other: former member of Scientific Advisory Board. Vergilio:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Levine:Imago Biosciences: Membership on an entity's Board of Directors or advisory committees; Prelude Therapeutics: Research Funding; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Honoraria; Gilead: Consultancy; Lilly: Honoraria; Qiagen: Membership on an entity's Board of Directors or advisory committees; Isoplexis: Membership on an entity's Board of Directors or advisory committees; Loxo: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy.