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Peak Lymphocyte Count after CAR T Infusion Is a Clinically Accessible Test That Correlates with Clinical Response in Axicabtagene Ciloleucel Therapy for Lymphoma
Gandhi, Sangeetha, Kubusek, Jilan, Truong, Tuan, Hayne, Justin, Ansell, Stephen M. , Nedved, Adrienne, Lange, Gina, Brandes, Eva, Hayman, Suzanne R. , Kapoor, Prashant , Kourelis, Taxiarchis , Kumar, Shaji , Warsame, Rahma , Johnston, Patrick B. , Novo, Mattia , Sidiqi, M Hasib , Paludo, Jonas , Hayne, Justin, Bennani, N. Nora , Villasboas, José C. , Alkhateeb, Hassan B. , Dingli, David , Kenderian, Saad S. , Shah, Meera , Siddiqui, Mustaqeem , Lin, Yi

Mayo Clinic

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 4106-4106

10.1182/blood-2019-127094 Get It

Background: Two-year follow-up from ZUMA-1 trial for axicabtagene ciloleucel (axi-cel) CD19 chimeric antigen receptor T-cell (CART) in aggressive non-Hodgkin lymphoma (NHL) demonstrated that patients (pts) achieving complete remission (CR) as their best response have the longest progression free survival (PFS), while PFS remained poor for others. Majority of the best response are achieved by month 3 post-infusion. Moreover, a subset of pts who do not achieve CR by month 1 may still achieve CR while others will progress within months. Having a clinically available test to predict for durable response can assist clinicians in selecting pts who can be observed for continued response vs. those who may need intervention earlier. Peak CAR-T expansion has been correlated with best clinical response to axi-cel. However there is no clinically available test to quantify CART cells post treatment. Given the prolonged lymphotoxic effect of the lymphodepletion (LD) chemotherapy administered before CART infusion, we hypothesize that the peak expansion of absolute lymphocyte count (ALC, ALCpeak) after infusion likely corresponds to CART expansion. We examined for correlation between ALCpeak and clinical response at month 3 post-infusion for pts who received axi-cel. Methods: Data was collected from pts who received axi-cel between June 2016 and March 2019 at Mayo Clinic Rochester (NCT02348216, NCT03153462, and standard of care). All infused pts were included in the intention to treat analysis for response and event-free survival (EFS). Lugano 2014 criteria were used for clinical response. EFS was defined as the date of infusion until progression or death due to any cause and evaluated using Kaplan Meier curves with log-rank test. Comparison between subgroups was investigated using Fisher's exact test and Wilcoxon test for categorical and continuous variables, respectively. Statistical analysis performed using JMP Pro 14.1. Results: Of the thirty-six NHL pts treated with axi-cel, the median age was 56 yrs (range 26-65); 78% (28) were male; 44% (16) had DLBCL; the median number of prior therapies was 3 (2-6), 47% (17) had stem cell transplant. Nineteen (53%) pts received bridging therapy after leukapheresis. All pts received fludarabine and cyclophosphamide for LD chemotherapy and achieved ALC nadir by the day of CART infusion (median 0.03 x 10^9/L, range 0.01-0.11). As CART expansion were found to peak within the first two weeks in ZUMA-1 trial, we examined ALC trend over 15 days post infusion and found that ALCpeak generally happened within the same timeframe (median ALCpeak day: 9, range 6-15). At 3 months post infusion, 33.3% (12/36) of pts achieved CR, 8.3% (3/36) pts were in partial remission (PR). No correlation was found between CR response and clinical characteristics: age >60 years, stage III/IV, B symptoms, elevated LDH, IPI score 3-4, number of previous treatments, use of bridging therapy, peak CRP and ferritin. However, the ALCpeak was significantly different between CR and non-CR pts (median, range: 1.09, 0.35-2.55; 0.67, 0.15-1.03; p=0.04). Using receiver operator curve (ROC)-derived area under the curve (AUC) estimates, ALCpeak 1.08 x 10^9/L was identified as the best threshold to discriminate patients at different likelihood to achieve CR at month 3. Pts achieving ALCpeak ≥ 1.08 showed a strong increased likelihood of achieving CR at month 3 (OR 2.8; 95% CI, 1.12-6.99; P=0.02). There was no statistical difference between the ALCpeak high and low groups in terms of use of bridging therapy, occurrence of any grade or higher grade cytokine release syndrome or neurotoxicity, or the use of tocilizumab or steroid. Interestingly, for pts who had changes in clinical response from month 1 to month 3, all 3 pts who converted to CR by month 3 had ALCpeak≥1.08, while the 13 of the 15 pts who had progressed by month 3 had ALCpeak<1.08. In addition, EFS was significantly different between pts who had ALCpeak above and below 1.08 (6 months EFS rate 75% vs. 25%, respectively, Figure 1). Conclusions: We found that the ALC expansion occurred in the first 15 days post axi-cel infusion, consistent with the known time frame for CART expansion. Higher ALCpeak level in this timeframe correlated with higher likelihood of achieving CR, and is associated with conversion to CR. This study is limited by the small sample size and limited follow-up, but the results are promising for further prospective investigation in a larger cohort of patients. Disclosures Paludo: Verily Life Sciences: Research Funding; Verily Life Sciences: Research Funding; Celgene: Research Funding; Celgene: Research Funding. Ansell:Mayo Clinic Rochester: Employment; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding. Bennani:Purdue Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Adicet Bio: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board; Seattle Genetics: Other: Advisory board; Adicet Bio: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Karyopharm: Research Funding; Rigel: Consultancy. Kapoor:Celgene: Honoraria; Janssen: Research Funding; Cellectar: Consultancy; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Glaxo Smith Kline: Research Funding. Kenderian:Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Lentigen: Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Kumar:Takeda: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.
Molecular Alterations in Adult Histiocytic Neoplasms
Abeykoon, Jithma P. , Liu, Minetta C. , Goyal, Gaurav , Bennani, N. Nora , Shah, Meera , Go, Ronald S.

Mayo Clinic

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 2975-2975

10.1182/blood-2019-122286 Get It

Introduction Histiocytic neoplasms are rare disorders of the monocyte-macrophage-dendritic cell lineage that pose significant management challenges to the clinicians. Over the last five years, there has been emerging data on the role of MAPK/ERK pathway (RAS-RAF-MEK-ERK) in their pathogenesis. In this study, we report the molecular alterations among patients with histiocytic neoplasms seen at our institution. Methods We pursued target-capture next generation sequencing (NGS) on tissue specimen of patients with various histiocytic neoplasms- Erdheim-Chester disease (ECD), Langerhans cell histiocytosis (LCH), Rosai-Dorfman disease (RDD), histiocytic sarcoma (HS), and Langerhans cell sarcoma (LCS). We used three NGS platforms, Tempus® xO (1,714 genes), Tempus® xT (596 genes), or Foundation One® CDX (324 genes). All platforms used formalin-fixed paraffin-embedded tumor tissue specimens for detection of substitutions, insertion and deletion alterations, and copy number alterations, and gene rearrangements. The Tempus assays also utilized matched blood or saliva samples for germline DNA sequencing in addition to whole-transcriptome RNA sequencing. The tumor cellularity threshold for pursuing RNA sequencing was 30% so the test was not pursued specimens for lower cellularity. Results We included 31 cases with histiocytic neoplasms in this study. The disease distribution was as follows: ECD (n=6), LCH (n=7), RDD (n=12), ECD-RDD overlap (n=3), HS (n=2), and LCS (n=1). Among the 13 patients with ECD and LCH, BRAF-V600E mutations were found in 8 (62%) cases. We found several novel DNA alterations in this study in all disease groups: ECD (BRAFV471F), LCH (MAP2K1 in-frame deletion), and RDD (frameshift mutations of DNMT3A, SMARCA4, KMT2A, and CDC73 truncation). In one LCH patient without any DNA alterations, we found MAPK1 and MAP2K1 overexpression on RNA sequencing. We also had two cases with HS, both of which were found to have KRAS exon 3 mutations. One of these cases had concomitant JAK2V617F+ myelofibrosis and the tissue specimen for HS demonstrated TET2 and SRSF2 mutations as well. Our cohort included one patient with multifocal lymph node LCS that demonstrated NRAS and TP53 mutations, who did not respond to MEK-inhibitor therapy. Alterations in epigenetic regulators (TET2, DMNT3A, KMT2A, ASXL1) were found in 5 (16%), potentially suggesting clonal hematopoiesis in a subgroup of histiocytosis. Conclusions Histiocytic neoplasms demonstrate diverse somatic oncogenic alterations. In our study, we noted several novel alterations beyond the MAPK-ERK pathway in RDD that may point toward other potentially pathogenic mechanisms for these rare disorders. In cases where the DNA sequencing does not reveal pathogenic alterations, transcriptome analysis may aid in the diagnosis and management. OffLabel Disclosure: Trametinib use for Langerhans cell sarcoma
Clinical Features and Outcomes of Unifocal Adult Langerhans Cell Histiocytosis
Hu, Marie , Goyal, Gaurav , Young, Jason R. , Rech, Karen L. , Bennani, N. Nora , Shah, Meera , Vassallo, Robert , Ryu, Jay H. , Go, Ronald S.

Mayo Clinic

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 1667-1667

10.1182/blood-2019-132104 Get It

Purpose: Langerhans cell histiocytosis (LCH) is a rare histiocytic disorder that presents with a wide spectrum of clinical diseases, ranging from single-organ lesions to systemic disease. Although previously thought of as an immune disorder, LCH was reclassified as an inflammatory myeloid neoplasm in the 2016 Histocyte Society classification after discovery of BRAF V600E or MAP2K1 gain-of-function mutations and evidence of clonality in most LCH patients. In this revised classification, LCH was divided into single-system LCH, pulmonary LCH, or multisystem LCH. However, there is a lack of data on clinical features and outcomes in the subgroup of "unifocal" non-pulmonary LCH in adults. In this study, we sought to address the gaps in knowledge for unifocal adult LCH utilizing our institution's experience over 20 years. Methods: We retrospectively reviewed the medical records of 189 adult patients (defined as >18 years old at diagnosis) with histopathologically confirmed LCH who were seen at our tertiary referral center between 1997 and 2018. Of these, 44 met criteria for unifocal LCH at diagnosis after careful exclusion of other sites of disease involvement. Results: We included 44 adult patients with unifocal LCH at diagnosis, with median age 42 years (range 19 to 88) and 55% males. 84% were Caucasians and 50% were smokers. Most commonly involved disease sites included bone (43%), skin (25%), pituitary (14%), and gastrointestinal (11%), with common presenting symptoms of head pain/swelling (25%), skin rash (20%), abdominal pain/diarrhea (11%), and diabetes insipidus (9%). Resection/excision was the most common first line therapy in 24 patients (63%); none had local recurrence and 3 patients developed recurrence at a new site. Radiation was the second most common therapy in 6 patients, with an overall response rate of 83%; none had local recurrence and 1 patient had recurrence at a new site. Other less common first-line treatments included resection followed by radiation (2), topical immunosuppression (2), dexamethasone (1), cladribine (1), smoking cessation (1), and observation (1) (Table 1). Cladribine used as first-line therapy for pituitary LCH resulted in progressive disease, but cladribine used as second-line therapy in 2 cases (including one who had progressed to multisystem disease) resulted in partial remission with no further recurrence in both cases. Patients were followed for a median of 3.8 years (range 0.1 to 18.8), with 5 patients lost to follow-up. By time of last follow-up, 11 (28%) had developed recurrence: 1 had local recurrence, 5 developed disease at a new site within the same system (skin or bone), and 5 developed multisystem disease (Figure 1). Median time to recurrence was 2 years (range 0.2 to 6.6). 2 out of 5 patients tested for BRAF had a V600E mutation, both of whom had isolated unifocal bone disease and remained in complete remission following resection at time of last follow-up. Median overall survival (OS) from time of diagnosis was not reached and overall 5-year OS was 94%. 3 patients died, only 1 of progressive LCH. Conclusion: In our study, most patients with unifocal adult LCH achieved a complete remission with surgical resection or local radiation. None of the patients treated with resection or radiation developed local recurrence, but around 1 in 5 developed distant recurrence within 5 years. However, the overall prognosis was very good, and none of the patients in the cohort progressed to "high-risk" organ (liver, spleen, or bone marrow) involvement or pulmonary involvement. Further studies are warranted to assess the role of MAPK-ERK mutations in the prognosis of unifocal LCH. Disclosures Bennani: Seattle Genetics: Other: Advisory board; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding. Vassallo:Sun Pharmaceuticals: Research Funding; Sun Pharmaceuticals: Research Funding; Pfizer: Research Funding; Bristol Myers Squibb: Research Funding; Bristol Myers Squibb: Research Funding.
Cutaneous blastic plasmacytoid dendritic cell neoplasm arising in the context of TET2 and ZRSR2 mutated clonal cytopenias of unknown significance, secondary to somatic copy number losses involving CDK2NA/2NB and MTAP
Li, Marissa , Binder, Moritz , Carr, Ryan M. , Mangaonkar, Abhishek A. , Gangat, Naseema , Coltro, Giacomo , Tefferi, Ayalew , Dao, Linda N. , Peters, Margot S. , Chiu, April , Patnaik, Mrinal M. , Binder, Moritz , Carr, Ryan, Mangaonkar, Abhishek A. , Tefferi, Ayalew , Dao, Linda, Peters, Margot, Patnaik, Mrinal , Carr, Ryan M , Shah, Meera , Lasho, Terra L. , Li, Marissa M

Mayo Clinic

American Journal of Hematology | November 9, 2019 | Volume: 95 | Issue: 2 | Pages: No page available

10.1002/ajh.25675 | PMID 31705546 Get It

The Clinical Utility of Pharmacogenomics Testing in Assessing Tyrosine Kinase Inhibitor Therapy, Intolerance and Responses in Patients with Chronic Myelogenous Leukemia
Zblewski, Darci, Gangat, Naseema , Elliott, Michelle A. , Al‐Kali, Aref , Litzow, Mark R. , Hook, C. Christopher , Mielke, Tyler, Wolanskyj, Alexandra P., Hogan, Willam, Pardanani, Animesh , Kluck, Lindsey Ann, Nedved, Adrienne, McAllister, Tammy M., Stewart, A. Keith , Patnaik, Mrinal M. , WJ, Hogan, Shah, Meera , Alkhateeb, Hassan B. , McCullough, Kristen , Smith, Matthew D. , Lazaridis, Konstantinos

Mayo Clinic

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5440-5440

10.1182/blood-2018-99-118600 Get It

Abstract Background: Chronic myelogenous leukemia (CML) is a BCR-ABL1 driven myeloid neoplasm, with excellent response rates to tyrosine kinase inhibitors (TKI). TKI such as imatinib (IM), dasatinib (DAS), nilotinib (NIL), bosutinib (BOS), and ponatinib (PON) currently US FDA approved, have dramatically changed survival outcomes. That being said, two main challenges exist; suboptimal responses and TKI intolerance. The reason why some patients tolerate/respond to TKI better than others is unknown, but is potentially explainable based on drug metabolism. The field of pharmacogenomics (PGX) is rapidly evolving, with commercial panel's rapidly assessing metabolic pathways such as cytochrome P450 (CYP), UGTA1A, p-glycoprotein/ABCB1. We carried out this study using a 22 gene-PGX panel to assess potential causes of TKI related intolerance and suboptimal responses in compliant patients. Methods: Twenty-nine Mayo Clinic patients with CML were prospectively recruited after informed consent. Buccal swabs were utilized for PGX testing to assess variations/polymorphisms involving CYP3A4/5, 1A2, 2C9, UGT1A1, amongst others (www.Oneome.com). Three groups of patients were recruited, those with i) TKI intolerance, ii) suboptimal responses by ELN criteria, iii) and newly diagnosed cases, to assess if PGX testing could explain TKI intolerance or resistance, or alter choice of therapy in newly diagnosed cases. A pharmacology review was obtained to interpret reports in all cases. Results: 29 patients with CML were prospectively enrolled, median age 64 years, 15 (52%) male. At last follow up (median 21 months), 3 (10%) deaths and no disease progressions were documented. 82% received first line IM, whereas 18% received first line DAS. Major metabolic pathways assessed for IM included, CYP3A4 and 5, while minor pathways included 2C19, 2C9 and 2D6. Majority (83%) of IM patients had normal major pathways with 17% being intermediate-normal. With regards to the minor pathways, 25% were rapid metabolizers for 2C19, whereas 29% were intermediate and 4% poor metabolizers for 2C9 and 50% and 16% were intermediate and poor metabolizers for 2D6. In all IM treated patients PGX testing did not completely explain intolerance or resistance and did not change clinical decision making. Front line DAS was used in 18% and the major pathway assessed was CYP 3A4, with 80% being normal and 20% being intermediate metabolizers. Once again PGX testing did not completely explain intolerance/resistance and no therapeutic changes were based on PGX analysis. Seventeen (59%) patients received second line TKI therapy (50% each for intolerance and resistance), with DAS (58%) and NIL (29%), being the two most common. Once again for DAS, 90% had normal 3A4 metabolism while 10% were intermediate and for NIL 80% were normal and 20% intermediate. Only one of 2 NIL treated patients with UGTA1A polymorphisms developed indirect hyperbilirubinemia (grade 1). In the second line setting, PGX testing did not completely explain or alter treatment decisions. BOS was used as a third line agent in 3 (>10%) patients, 2 who remained refractory and one with intolerance, and all three were normal CYP3A4 metabolizers. None of these patients developed diarrhea a common side effect of BOS. PON was used in one patient with intermediate CYP3A4 metabolism as a 5th line agent and the patient continues to have refractory disease with no thrombotic events. In all cases, no changes were made to concomitant medications based on PGX testing. Conclusion: In conclusion, while PGX testing has rapidly evolved and become commercially available, in the context of TKI therapy for CML, while it offers useful insights on minor metabolic derangements and side effects like NIL induced hyperbilirubinemia, in our study, currently limited by a small sample size, it did not completely explain TKI intolerance or resistance. Recruitment of additional patients (n=100) and correlations with plasma drug levels are currently ongoing. Table. Table. Disclosures Al-Kali: Novartis: Research Funding. Stewart:Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding; Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy.
Tumor Mutational Burden and Other Immunotherapy Markers in Histiocytic Neoplasms Using Next Generation Sequencing
Vassallo, Robert , Davidge‐Pitts, Caroline , Bennani, Nabila Nora, Liu, Minetta C. , Vassallo, Robert , Goyal, Gaurav , Rech, Karen L. , Ryu, Jay H. , Tobin, W. Oliver , Koster, Matthew J. , Shah, Meera , Go, Ronald S.

Mayo Clinic

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 1112-1112

10.1182/blood-2018-99-113196 Get It

Abstract Introduction Histiocytic neoplasms are rare hematological malignancies that have protean clinical manifestations and can pose significant management challenges. Recently, vemurafenib was approved by the US-FDA for treatment of BRAF-V600-mutant Erdheim-Chester disease (ECD). However, there is a lack of FDA-approved therapies for other histiocytic neoplasms such as Langerhans cell histiocytosis (LCH) and Rosai-Dorfman disease (RDD). Over the last 5 years, immune checkpoint inhibitors such as programmed death-1 (PD-1) and programmed death-ligand 1 (PD-L1) inhibitors have shown significant improvement in outcomes among patients with several hematological and solid organ malignancies. In order to identify appropriate treatment candidates for these therapies, predictive biomarkers have been developed in various cancers. Evidence from solid tumors has suggested a favorable response to checkpoint inhibitor therapy with higher tumor mutational burden (TMB), defined as the number of mutations within a tumor genome. Next generation sequencing (NGS) of various tumors has shown an association between TMB of < 5 mutations/megabase (mut/Mb) to be associated with an absence of benefit from checkpoint inhibitors. In addition, high levels of PD-1/PD-L1 expression and microsatellite instability (MSI) are also correlated with response to therapy. The latter may be a result of somatic or germline alterations in DNA mismatch repair genes. In this study, we report the results for these biomarkers using NGS in patients with histiocytic neoplasms. Methods We utilized TempusTM NGS platform to analyze the tissue specimen of patients with histiocytic neoplasm. The Tempus xO Assay (Tempus Labs; Chicago, IL) combines a 1,711 gene targeted somatic and germline DNA sequencing panel with RNA-sequencing to detect both germline and somatic single nucleotide polymorphisms, indels, copy number variants, and gene rearrangements causing chimeric mRNA transcript expression in a wide array of solid tumor types. The assay utilizes formalin-fixed paraffin-embedded tumor samples and matched blood samples. TMB was calculated and reported as somatic mutations in tumor tissue per million base-pairs or mut/Mb. RNA sequencing was utilized to assess for PD-L1 and PD-1 gene expressions as compared to matched tumor and normal reference sets. Both PD-L1 and PD-1 gene expressions were reported as percentiles. DNA mismatch repair status was predicted by analysis of alterations in five common mismatch repair genes in somatic and germline DNA (MSH2, MSH6, MLH1, PMS2, and EPCAM). If there were no alterations identified in these genes, the mismatch repair status was predicted as microsatellite stable (MSS). Results A total of 13 patients with histiocytic neoplasms were included in the study. The distribution of individual histiocytic neoplasms was as follows: RDD (n=9), ECD (n=3), and LCH (n=1). The median TMB for RDD and ECD patients was 0.17 mut/Mb. For the one patient with LCH, the TMB level was 0.51 mut/Mb. Individual TMB levels are shown in figure 1. PD-L1 and PD-1 expression levels are depicted in table 1. Compared to normal reference sets, the PD-L1 expression was elevated in one patient each with RDD and ECD, and PD-1 expression was elevated in two patients each with RDD and ECD. For both ECD patients with higher PD-1 expression, NGS also showed presence of BRAF-V600E in the tumor tissue. The LCH patient had a low level of PD-L1 and PD-1 expression. For patients where evaluation of DNA mismatch repair was feasible on the tissue specimen (n=4), none showed related somatic or germline alterations. Conclusions In our series, the histiocytic neoplasms RDD, ECD, and LCH demonstrated low levels of TMB. None of the RDD and ECD patients were found to have alterations in DNA mismatch repair genes. Other markers of immunotherapy such as PD-L1/PD-1 expression appeared to be higher in ECD patients with BRAF-V600E, but in only a small subset of RDD patients. The low TMB seen in our study suggests that these histiocytic neoplasms may be less likely to respond to immune checkpoint inhibitors such as anti-PD-1 and anti-PD-L1 agents as compared to the tumors with high TMB. Disclosures No relevant conflicts of interest to declare.
Marrow Blast Percentage Impact on High-Grade Myelodysplastic Syndrome By the Revised International Prognostic Scoring System
Alkharabsheh, Omar , Patnaik, Mrinal M. , Gangat, Naseema , Begna, Kebede H. , He, Rong , Nguyen, Phuong L., Litzow, Mark R. , Al‐Kali, Aref , Alkhateeb, Hassan B. , Shah, Meera , Hogan, William J. , Greipp, Patricia T.

Mayo Clinic

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5510-5510

10.1182/blood-2018-99-113943 Get It

Abstract Introduction: The revised international prognostic scoring system (IPSS-R) for myelodysplastic syndrome (MDS) is widely accepted and has been validated in multiple studies. Patients with adverse cytogenetics do poorly and that is reflected in this scoring system by having the highest score for cytogenetics; 2 for intermediate, 3 for poor and 4 for very poor. Little is known about the effect of marrow blasts in adverse cytogenetic in the high-grade MDS defined by IPSS-R intermediate (>3), high (>4.5) and very high (>5). The goal is to examine the effect of marrow blast percentage on outcome in patients with adverse cytogenetics that is present in the high-grade MDS. Methods: We performed data collection from the Mayo clinic records for patients with confirmed MDS after obtaining appropriate IRB approval. Patients were divided based on their total IPSS-R score and we extracted high-grade MDS cases with intermediate, high and very-high IPSS-R only. Cytogenetics and baseline CBC were available for analysis. We calculated the survival difference in patients with blasts <5% and patient with blasts of 5% to 19% for every group. Survival estimates were calculated by Kaplan-Meier method and compared by log-rank testing using JMP v.13. Results: Our database had 1300 patients with confirmed MDS, 41% (N=536) are high-grade MDS. From those, the median age was 70 and 70% were males. Median bone marrow blast was 6% (0-19). Baseline hemoglobin is 9.2 g/dL, WBC 2.7, ANC 1.05, and platelets 69. Their cytogenetics were 1% very good, 31% good, 23% intermediate, 16% poor and 29% very poor. The total IPSS-R groups were 39%,31%, and 30% for the intermediate, high, and very-high groups respectively. The overall survival (OS) for the high-grade MDS with marrow blast <5% was 12.3 months and for patients with marrow blasts ≥5% 11.4 months (P=.4). At each high-grade MDS; intermediate, high and very high, there were no statistically significant differences for patients with marrow blasts below or above 5%. In term of risk of progression to AML, patients with blasts ≥5% were at higher risk of progression compared with <5% (25% vs 10% , P<.001), with no statistically significant difference in term of time-to-AML progression. Conclusion: The percentages of bone marrow blasts had no impact on overall survival among patients with high grade MDS. However, patients with ≥5% marrow blasts are at a higher risk for progression to AML. Disclosures Al-Kali: Novartis: Research Funding.
MTH1 Inhibitor-Induced Cytotoxicity in Acute Myeloid Leukemia
Flatten, Karen S., Hess, Allan D., Shah, Meera , Smith, B. Douglas , Kaufmann, Scott H.

Mayo Clinic

Blood | October 11, 2019 | Volume: 126 | Issue: 23 | Pages: 1273-1273

10.1182/blood.v126.23.1273.1273 Get It

Abstract BACKGROUND: Acute myeloid leukemia (AML) is an aggressive leukemia with 5-year overall survival of 20-25%. The major reason for treatment failure in AML is resistance to chemotherapy. Thus, there is an urgent need for identification of novel therapeutic agents for AML. Neoplastic cells, including AML, have dysfunctional redox regulation that results in increased reactive oxygen species (ROS). Accumulation of ROS leads to oxidation of free and incorporated nucleotides, leading to DNA damage and cell death. MTH1 is a nudix family hydrolase that sanitizes the oxidized nucleotide pool to prevent incorporation of these damaged bases in the DNA. MTH1 is thought to be non-essential for normal cells but crucial for neoplastic cells in order to avoid incorporation of oxidized dNTPs into DNA, thereby evading DNA damage and cell death. Whether MTH1 inhibitors have any activity against AML is not known. METHODS: Neoplastic myeloid cell lines HL-60, HEL, K562, KG1A, ML1, MV-4-11, SET2, and U937 were treated with varying concentrations of TH588 for a total of 48 hours. In experiments using the pan-caspase inhibitor Q-VD-OPh (Qvd), cells were pre-treated with 5µM Qvd for 1 hour followed by TH588. Cells were washed and stained with annexin, propidium iodide (PI), or MitoTracker (Life Technologies, Carlsbad, CA) for flow cytometry. To evaluate the potential impact of MTH1 inhibition on chemorefractory AML, HL-60/VCR cells were treated with vehicle control or TH588 in culture medium with or without vincristine (1µg/ml). Percentage apoptosis was calculated by normalizing to vehicle only control. With IRB approval, bone marrow aspirate samples were obtained from patients with untreated AML or healthy controls. Mononuclear cells were analyzed using colony-forming unit (CFU) assays. The total number of erythroid (CFU-E) and myeloid (CFU-G, CFU-GM) colonies containing ≥50 cells were read on day 14 and reported as percentage colonies compared to vehicle control. RESULTS: TH588 induced dose-dependent cell death in each of the neoplastic cell lines tested except HEL. In particular, treatment with TH588 resulted in a dose-dependent increase in the number of cells undergoing apoptosis as indicated by annexin V and/or PI staining (IC50 3.1-21.3µM, Figure 1). Pre-treatment with Qvd significantly inhibited TH588-induced cell death in all the cell lines studied except KG1A and SET2, suggesting a caspase-dependent mechanism of cell death. In further studies, cells treated with TH588 exhibited decreased MitoTracker staining; and Qvd pretreatment increased the number of MitoTrackerLow cells at the same time apoptotic cells decreased, suggesting that mitochondrial damage is upstream of caspase activation in TH588-induced apoptosis. Treatment with TH588 not only induced apoptosis in HL-60/VCR cells, but also facilitated further apoptosis in cells co-treated with vincristine and TH588 (Figure 2). Treatment with TH588 also diminished colony formation in a primary AML sample (IC50 6µM, Figure 3). Analysis of additional primary AML samples is ongoing. DISCUSSION: Our results show that the MTH1 inhibitor TH588 induces apoptosis in most neoplastic myeloid cells. MTH1 causes mitochondrial damage that, in turn, leads to caspase-dependent apoptosis in these cells. In HL-60/VCR cells representing chemorefractory phenotype, TH588 induces apoptosis as a single agent and resensitizes cells to vincristine. Moreover, TH588 significantly diminished colony formation in primary AML ex vivo. Further preclinical and possible clinical study of this class of agent appears warranted. Figure 1. Induction of cell death by MTH1 inhibitor TH588 in neoplastic myeloid cell lines. Figure 1. Induction of cell death by MTH1 inhibitor TH588 in neoplastic myeloid cell lines. Figure 2. TH588 induces apoptosis in HL-60/VCR cells and resensitizes cells to vincristine. Figure 2. TH588 induces apoptosis in HL-60/VCR cells and resensitizes cells to vincristine. Figure 3. TH588 significantly diminished colony formation in primary AML ex vivo indose-dependent manner. Figure 3. TH588 significantly diminished colony formation in primary AML ex vivo indose-dependent manner. Disclosures No relevant conflicts of interest to declare.
Analysis of Serum Ferritin Levels As a Diagnostic Criteria for Hemophagocytic Lymphohistiocytosis (HLH) in Hospitalized Adult Patients
Pham, Anthony , O’Byrne, Megan M., Kapoor, Prashant , Abraham, Roshini S. , Wolanskyj, Alexandra P., Shah, Meera , Go, Ronald S. , Parikh, Sameer A.

Mayo Clinic

Blood | October 11, 2019 | Volume: 126 | Issue: 23 | Pages: 1014-1014

10.1182/blood.v126.23.1014.1014 Get It

Abstract INTRODUCTION: Hemophagocytic lymphohistiocytosis (HLH) is a rare disorder caused by the pathologic activation of the immune system. In children, either a molecular diagnosis consistent with HLH or five out of the following eight criteria are considered necessary for a diagnosis of HLH (HLH-04 criteria): 1) fever; 2) splenomegaly; 3) cytopenia in two or more cell lines; 4) hypertriglyceridemia (≥265 mg/dL) or hypofibrinogenemia (≤150 mg/dL); 5) hemophagocytosis in the bone marrow, spleen, or lymph nodes; 6) hyperferritinemia (≥500 mcg/L); 7) impaired NK cell function; and 8) elevated soluble CD25 (sCD25). These criteria have been extrapolated to diagnose HLH in adults; however, it's unclear if these same criteria are applicable in the adult population. METHODS: We reviewed the Mayo Clinic electronic medical record for all adult (≥18 years) hospitalized patients with an admission serum ferritin of ≥500 mcg/L from January 2012 through December 2014. Patients' charts were reviewed and those who met the HLH-04 criteria were considered to have HLH. For the remainder of the patients, the etiology for hyperferritinemia was determined based on chart review and discharge diagnoses. Logistic regression models were used to assess the ability of these values in predicting a diagnosis of HLH. The Mayo Clinic IRB approved this study. RESULTS: We identified 1,329 patients with a serum ferritin ≥500 mcg/L. Of these, HLH was diagnosed in 28 (2.1%) patients (malignancy-associated HLH in 11 patients, infection-associated HLH in 4 patients, autoimmune-associated HLH in 7 patients, and idiopathic HLH in 6 patients). Table 1 describes the etiology of hyperferritinemia in the remaining 1,301 patients. In contrast to pediatric hospitalized patients (Allen, Pediatr Blood Cancer, 2008), adults are more likely to have malignancy (28.1% vs 7%; p<0.05); bacterial infection (21% vs. 13%; p=0.001); liver disease (9.9% vs. 2.7%; p<0.05); and cardiac disease (7.2% vs. 1.5%; p=0.0001) as the etiology of hyperferritinemia during their hospitalization. Among all patients in the study, the following variables were associated with higher odds of having HLH compared to hyperferritinemia due to an alternate cause: elevated ferritin (odds ratio [OR] 35.97, p<0.01); thrombocytopenia (OR 15.22, p<0.01), cytopenias defined by HLH-04 criteria (OR 8.04, p<0.01); elevated admission serum bilirubin (OR 1.05, p=0.02); and peak serum bilirubin (OR 1.05, p<0.01). After stepwise selection in multivariate analysis, serum ferritin ≥2,600 mcg/L and platelets ≤100 x 109/L were independently associated with HLH diagnosis (OR 24.9 and 7.8 respectively; p<0.01 for both). The area under the curve (AUC or c-statistic) ranges from 0.5 for no ability to discriminate, to 1.0 for perfect discrimination; this model has an AUC of 0.91, which shows very good discrimination between cases and controls. An adult hospitalized patient with a combination of serum ferritin ≥2,600 mcg/L and platelets ≤100x109/L predicts a ~200 fold increased likelihood of being diagnosed with HLH as compared to hospitalized adult meeting neither of these criteria (Figures 1 and 2). CONCLUSION: In contrast to hospitalized pediatric patients, the etiology of hyperferritinemia in adults is more likely to be malignancy, bacterial infection, liver disease, and cardiac disease. We conclude that a combination of serum ferritin ≥2,600 mcg/L and platelet count ≤100 x 109/L can be used as screening criteria to help identify adult patients most likely to have HLH. The traditional 5/8 criteria to diagnose HLH in pediatric patients do not appear necessary for establishing a diagnosis of HLH in adult patients. These observations need replication in an independent data set prior to broader applicability. Table 1.Patients with ferritin > 500 mcg/L with underlying cause for elevation.Number Diagnosed (%)Cardiac Disease95 (7.2%)Liver Disease131 (9.9%)Renal Disease87 (6.6%)Infectious343 (25.8%)Malignancy373 (28.1%)Autoimmune118 (8.9%)Solid Organ Transplant34 (2.6%)Stem Cell Transplant16 (1.2%)Bone Marrow Failure9 (0.7%)Shock39 (2.9%)Idiopathic53 (4.0%)Hemoglobinopathies3 (0.2%) Figure 1. ROC curve for the multivariable model with ferritin > 2,600 (yes/no) and platelets below 100,000 (yes/no) in the model with a very good discrimination c-statistic of 0.91. Figure 1. ROC curve for the multivariable model with ferritin > 2,600 (yes/no) and platelets below 100,000 (yes/no) in the model with a very good discrimination c-statistic of 0.91. Figure 2. Figure 2. Disclosures No relevant conflicts of interest to declare.