ALBERT

Description: The process of nutrient retranslocation from plant leaves during senescence subsequently affects both plant growth and soil nutrient cycling; changes in either of these could potentially feed back to climate change. Although elemental nutrient resorption has been shown to respond modestly to temperature and precipitation, we know remarkably little about the influence of increasing intensities of drought and warming on the resorption of different classes of plant metabolites. We studied the effect of warming and altered precipitation on the production and resorption of metabolites in Quercus rubra . The combination of warming and drought produced a higher abundance of compounds that can help to mitigate climatic stress by functioning as osmoregulators and antioxidants, including important intermediaries of the tricarboxylic acid cycle, amino acids including proline and citrulline, and polyamines such as putrescene. Resorption efficiencies (RE) of extractable metabolites surprisingly had opposite responses to drought and warming; drought treatments generally increased RE of metabolites compared to ambient and wet treatments, while warming decreased RE. However, RE of total N differed markedly from that of extractable metabolites such as amino acids; for instance, droughted plants resorbed very little N from their leaves; a smaller fraction than plants exposed to the ambient control. In contrast, plants in drought treatment resorbed amino acids more efficiently (〉 90%) than those in ambient (65-77%) or wet (42-58%) treatments. Across the climate treatments the RE of elemental N correlated negatively with tissue tannin concentration, indicating that polyphenols produced in leaves under climatic stress could interfere with N resorption. Thus, senesced leaves from drier conditions might have a lower nutritive value to soil heterotrophs during the initial stages of litter decomposition despite a higher elemental N content of these tissues. Our results suggest that N resorption may be controlled not only by plant demand, but also by climatic influences on the production and resorption of plant metabolites. As climate-carbon models incorporate increasingly sophisticated nutrient cycles, these results highlight the need to adequately understand plant physiological responses to climatic variables. This article is protected by copyright. All rights reserved.

Description: Bruton tyrosine kinase (BTK) is critical to both normal B-cell development and the pathogenesis of B-cell malignancies. Ibrutinib is a recently FDA-approved small molecule irreversible inhibitor of BTK. In Phase II studies of single-agent ibrutinib in MCL (Wang ML et al, NEJM 2013) and CLL (Byrd JC, et al, NEJM 2013) the overall response rate was 68% and 89% (CR, PR, and PR with lymphocytosis), respectively, with PR as the best response in the majority of patients. Thus, not all patients respond and complete responses are infrequent with single agent ibrutinib. We previously reported that the BCL2 inhibitor, ABT-199, and the proteasome inhibitor, carfilzomib, were highly synergistic with ibrutinib in MCL cell lines using a focused drug panel (Axelrod M et al, Leukemia 2014). We sought to confirm these findings in MCL and CLL patient samples and to determine the mechanisms of synergy. Peripheral blood buffy coat samples from patients with circulating tumor cells were exposed to ibrutinib, ABT-199, carfilzomib and the combinations of ibrutinib and ABT-199 and ibrutinib and carfilzomib at pharmacologically-achievable doses for 72 hours. Apoptosis was assessed using PARP cleavage by FACS analysis of CD3-, CD5+, CD19+ cells representing the neoplastic clones. The combination of Ibrutinib and ABT-199 substantially induced apoptosis compared to each single agent alone (combo: 23%, ibrutinib: 3.8%, ABT-199: 3.0%). Ibrutinib plus carfilzomib also substantially induced apoptosis compared to each single agent alone (combo: 5.5%, Ibrutinib 3.8%, carfilzomib 1.7%) though to a less degree than the ABT-199 combination. The normal B-cell population (CD3-, CD5-, CD19+) in these samples was too small for analysis, thus normal T-cells (CD3+, CD5+, CD19-) from the same patients were used to identify the effects on normal lymphocytes. Minimal apoptosis was seen in normal T-cells with the single agents or the combinations. In a cohort of CLL and normal donor samples, heterogeneity in response to the combination of ibrutinib and ABT-199 was seen. When evaluated by Bliss modeling, 5 of 9 CLL samples had a synergistic improvement in apoptosis with the combination with the other 4 having no change. No increased apoptosis was seen in two tested peripheral blood lymphocyte (CD3-, CD5-, CD19+) populations from healthy donors. Gene expression profiling with Illumina Bead Chip array was used to evaluate the mechanisms of synergy with ABT-199 plus ibrutinib after 6 hours of drug exposure. The MCL cell line JVM2 was exposed to pharmacologically-achievable doses of ibrutinib, ABT-199 and combinations of each dose. Ibrutinib alone induced transcriptional change whereas ABT-199 did little to change gene expression. The combination induced both potentiative transcriptional changes (changes present in isolation and enhanced by the combination) and emergent transcriptional changes (changes only seen with the combination, unchanged by each single agent). Protein-protein interaction networks generated using the drug targets (BTK and BCL2) and emergent genes as input to STRING revealed activation of apoptosis via p53 and BIM as mechanisms of synergy. In conclusion, Ibrutinib and ABT-199 induce synergistic apoptosis in MCL cell lines and leukemic patient samples. The combination also induced apoptosis in some, but not all, CLL patient samples. No apoptosis was seen with either drug or the combination in normal T-cells from patients, suggesting little off-target effect. Emergent changes were seen when combining ABT-199 with ibrutinib in MCL cell lines. These changes suggest activation of p53 and BIM as potential mechanisms of synergy. A clinical trial with ABT-199 and ibrutinib is planned. Disclosures Off Label Use: Pre-clinical data with ABT-199 for MCL and CLL, not FDA approved. Williams:Pharmacyclics, Janssen: Consultancy, Research Funding.

Description: Introduction: Large Granular Lymphocyte (LGL) leukemia is a rare lymphoproliferative disorder characterized by clonal expansion of either CD3+ cytotoxic T cells expressing T cell receptor (TCR) alpha beta or CD3- natural killer (NK) cells. A less frequent CD3+ T cell subtype expresses TCR gamma delta (GD). Here, we present the molecular landscape of known LGL types (T, NK, GD) from analysis of the largest patient cohort assembled to date. An integrative analysis of genomic datasets from all LGL subtypes is necessary to more precisely define the shared and unique etiology of this rare disorder. Methods: We collected paired saliva and PBMC samples and related clinical information from 116 LGL leukemia patients after informed consent. The assembled cohort consisted of 93 T-LGL, 11 NK-LGL, and 12 GD T-LGL patients. Genomic analyses were performed on the leukemic (PBMC) and germline (saliva) samples after whole exome sequencing (WES) and transcriptome sequencing (RNAseq, PBMC only). Results: Somatic mutations were detected in the previously described potential drivers STAT3 (n=56), TNFAIP3 (n=9), and PIK3R1 (n=4). We also identified somatic mutations in CDH8 (n=3) and CCL22 (n=4), which we postulate as putative drivers based on mutational clustering. CDH8 was mutated in all three LGL subtypes, but CCL22 somatic mutations were only observed in NK-LGL patients. We observed that STAT3 and CCL22 together account for 64% (7/11) of NK-LGL cases. STAT3 is the most recurrently mutated gene in LGL leukemia, yet concurrent molecular and clinical features are incompletely defined. Interestingly, patients with STAT3 mutations have a higher mutational burden (P=0.0006) compared to those with wild-type (WT) STAT3. This effect is independent of the age of the patient, which correlates with the mutational burden (R=0.26, P=0.0039) and agrees with the finding that the dominant mutational signatures in this cohort exhibit clock-like properties. We also observed that patients with STAT3 mutations are enriched (P=0.0273) for additional mutations in chromatin modifier enzymes such as KMT2D, TET2, DNMT3A, and SETD1B (Figure 1). We found that ~10% of the samples exhibit broad somatic copy-number aberrations, and a patient with somatic mutations in STAT3 and KMT2D displayed high-level microsatellite instability. STAT3 mutations were also significantly associated with increased expression of genes involved in apoptosis, complement activation, and interferon cytokine signaling compared to STAT3 WT (FDR 〈 0.05). Early-onset LGL patients with age 51 years or less (n=28), as defined by the bottom quartile of the cohort, displayed no differential enrichment of the somatic driver genes. Interestingly, the age of the patient was significantly associated with absolute neutrophil counts (ANC) (P = 0.0068), with younger patients exhibiting lower neutrophil counts, even after adjusting for the presence of STAT3 mutation, as it is associated with lower ANC. As neutropenia is a hallmark feature of LGL leukemia and often a trigger for initiating therapy, the association of young age with lower neutrophil counts and lower somatic mutational burden suggests other mechanisms may be involved. Focusing on the germline variants, we found that 17 of the patients (14.6%) had at least one pathogenic or likely pathogenic germline variant with known oncogenic association as annotated using CharGer. 5 patients had pathogenic mutations in known tumor suppressors including FANCC (n=1), BRCA1 (n=1), PALB2 (n=1), MUTYH (n=1), and SDHA (n=1), while 1 patient had pathogenic mutations in ALK, a known oncogene. Conclusions: We report on the genomic analyses done on whole exome and RNA-seq data from the largest cohort assembled for LGL leukemia to date. We show that the presence of STAT3 mutation is significantly associated with an increase in mutation burden and additional somatic mutations in chromatin modifiers, hinting at potential pathogenic mechanisms within STAT3 mutated patients. By combining LGL subtypes in our analysis, we were able to identify CDH8 as a putative driver that is present in T, NK, and GD subtypes. Additionally, we report CCL22 mutations specific to NK-LGL leukemia, however did not detect any subtype specific mutations in GD T-LGL. We found that about 15% of the patients carry at least one pathogenic germline variant with known oncogenic associations. These findings highlight emerging etiologic insights into this rare disorder. Disclosures Feith: Kymera Therapeutics: Membership on an entity's Board of Directors or advisory committees. Loughran:Keystone Nano: Membership on an entity's Board of Directors or advisory committees; Bioniz Therapeutics: Membership on an entity's Board of Directors or advisory committees; Kymera Therapeutics: Membership on an entity's Board of Directors or advisory committees; Dren Bio: Membership on an entity's Board of Directors or advisory committees.

Description: Chronic natural killer large granular lymphocyte (NK-LGL) leukemia, also referred to as chronic lymphoproliferative disorder of NK cells, is a rare disorder defined by prolonged expansion of clonal NK cells. Similar prevalence of STAT3 mutations in chronic T-LGL and NK-LGL leukemia is suggestive of common pathogenesis. We undertook whole-genome sequencing to identify mutations unique to NK-LGL leukemia. The results were analyzed to develop a resequencing panel that was applied to 58 patients. Phosphatidylinositol 3-kinase pathway gene mutations (PIK3CD/PIK3AP1) and TNFAIP3 mutations were seen in 5% and 10% of patients, respectively. TET2 was exceptional in that mutations were present in 16 (28%) of 58 patient samples, with evidence that TET2 mutations can be dominant and exclusive to the NK compartment. Reduced-representation bisulfite sequencing revealed that methylation patterns were significantly altered in TET2 mutant samples. The promoter of TET2 and that of PTPRD, a negative regulator of STAT3, were found to be methylated in additional cohort samples, largely confined to the TET2 mutant group. Mutations in STAT3 were observed in 19 (33%) of 58 patient samples, 7 of which had concurrent TET2 mutations. Thrombocytopenia and resistance to immunosuppressive agents were uniquely observed in those patients with only TET2 mutation (Games-Howell post hoc test, P = .0074; Fisher’s exact test, P = .00466). Patients with STAT3 mutation, inclusive of those with TET2 comutation, had lower hematocrit, hemoglobin, and absolute neutrophil count compared with STAT3 wild-type patients (Welch’s t test, P ≤ .015). We present the discovery of TET2 mutations in chronic NK-LGL leukemia and evidence that it identifies a unique molecular subtype.