Citations

Abstract Introduction: Hyperdiploidy on FISH portends a good prognosis in myeloma. We compared hyperdiploidy determined by MFC to that by conventional FISH. Methods: We studied 1711 patients with plasma cell disorders who had simultaneous FISH and DNA index testing. Monotypic plasma cells in bone marrow are identified by MFC with antibodies to CD19, CD38, CD45, CD138, kappa and lambda; followed by staining by DAPI. DNA index is determined by dividing the measured DNA content of the G0/G1 abnormal plasma cells by the DNA content of the normal G0/G1 plasma cells present. Plasma cells with DNA content index of <0.95 are hypodiploid and G0/G1 DNA content index of >1.05 are considered hyperdiploid. Results: Distribution DNA index and FISH results are described in Table 1. Sensitivity and specificity of DNA index by hyperdiploidy was 86% and 83%. Cohen's Kappa coefficient for concordance was 0.69. Sensitivity increased to 94% for those with 2 or more trisomies and 97% for 3 or more trisomies. Of the 104 patients with trisomy and non-hyperdiploid DNA index, 62% patients had monosomy (mono) or deletion (del) 13q. Overall, DNA index was lower in patients with mono 13/del 13q (1.01; 0.97-1.11) compared to those without (1.07; 1.0-1.19), p<0.001. After excluding patients with mono 13/del 13q, sensitivity and specificity of hyperdiploidy by DNA index were 92% and 82%, kappa = 0.73. Hyperdiploidy was seen in 55% of 272 patients with newly diagnosed myeloma. Sensitivity and specificity were 88% and 93%, kappa = 0.78. After median follow-up of 2.3 yrs, those with hyperdiploid DNA index had better progression free survival at 2,3 and 5 years, 62%, 45% and 21% compared to 50%, 33% and 13% in non-hyperdiploid group, p=0.05. Median overall survival (OS) was not reached; estimated 2, 3 and 5 year OS was 83%, 76% and 63% vs. 76%, 64% and 44%, respectively; p=0.08. Conclusions: DNA index by MFC is a rapid method to determine hyperdiploidy, with potential for replacing trisomy testing by FISH, especially when coupled with monosomy FISH probes. Hyperdiploid N=768 n/N (%)Diploid N=762 n/N (%)Hypodiploid N=78 n/N (%)P1P2Any trisomy 619/765 (81)96/758(13)8/76 (11)<0.001<0.001One chromosome42587733191429-111362Others12204Two chromosomes8525-Three or more chromosomes492131Any translocation124/744 (17)566/748 (76)53/74 (72)<0.001<0.001t(4;14)106313t(11;14)2240127t(14;16)5325t(14;20)38-t(6;14)8104Unknown partner76524Trisomy + Translocation95/743 (13)60/744 (8)6/74 (8)0.0090.002Monosomy 13/17 or deletion 13q/17p252/759 (33)295/744 (40)54/74 (73)<0.0010.0001Monosomy 13/Deletion 13q208/717 (29)282/718 (39)20/70 (29)Monosomy 17/Deletion 17p70/749 (9)50/735 (7)20/72 (28)P1= three groups; P2= hyperdiploid vs. non-hyperdiploid Citation Format: Surbhi Sidana, Nidhi Tandon, Dragan Jevremovic, Rhett P. Ketterling, Angela Dispenzieri, Morie A. Gertz, Francis K. Buadi, Martha Q. Lacy, William Morice, Curtis A. Hanson, Michael Timm, Patricia Greipp, Linda B. Baughn, David Dingli, Suzanne R. Hayman, Wilson I. Gonsalves, Prashant Kapoor, Robert A. Kyle, Nelson Leung, Ronald S. Go, John A. Lust, S.Vincent Rajkumar, Shaji K. Kumar. Hyperdiploidy in plasma cell disorders using multi-parametric flow cytometry (MFC) vs. FISH [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 655.

Abstract While it is known that nuclear factor κ-B (NF-κB) signaling within macrophages regulates expression of downstream targets that can mediate either pro- or antitumor functions, the mechanisms that define predominant characteristics are not well understood. As macrophages are present in the tumor microenvironment of diverse tumor types, their characteristics have the potential to either support or hinder tumor growth and metastatic spread. Therefore, a method to shift the balance of tumor associated macrophages from pro- to antitumor functions could potentially target tumor cells directly and also recruit and activate other immune cells, resulting in significant therapeutic benefit. Our studies are designed to gain an understanding of how to use modulation of NF-κB signaling as the “pinch point” to generate antitumor phenotypes and determine how to achieve this modulation in a patient. We are using immortalized bone marrow-derived macrophages or ex vivo tumor-associated macrophages in cell culture approaches and inducible transgenic mice in in vivo approaches to investigate the mechanisms by which NF-κB defines macrophage characteristics. Interactions with tumor cells are also being investigated using co-culture and murine models. Our data suggests that high levels of NFκ-B activity in macrophages induce both direct tumor cell killing and immune stimulating responses. We are testing two different translational approaches. The first is liposomal muramyl tripeptide ethanolamine that acts as an immune stimulant by increasing NF-κB activity in macrophages. The second is preferential delivery of siRNA against the inhibitor of NFκ-B (IκB-alpha) to tumor-associated macrophages using polymeric nanoparticles. We hope to better understand the mechanisms by which NFκ-B regulates macrophage functions to inform development of a novel macrophage-based immunotherapy that could be effective across a wide spectrum of solid tumors and metastatic disease. Citation Format: Esther Liu, Alyssa A. Hoover, Whitney R. Harris, Whitney Barham, Oleg Tikhomirov, Dineo Khabele, Zahra Mirafzahli, Todd D. Giorgio, Andrew J. Wilson, Fiona E. Yull. Modulation of NFκ-B signaling to optimize antitumor characteristics in macrophages [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4711.

Abstract Multiple myeloma (MM) is an incurable malignancy of plasma cells. It is the second most common hematologic cancer, affecting nearly 30,000 people in the United States annually. Substantial progress has been made in the past fifteen years in the treatment of MM due to the approval of several new classes of drugs. However, patients inevitably relapse and become refractory to existing therapies. Hence, there is an immediate unmet need to develop novel therapies for MM based on a better understanding of the disease biology. Mutations in RAS have been found to occur in about 40% of newly diagnosed MM patients, with the frequency increasing to around 70% in relapsed/refractory patients. Such mutations are absent in patients with the premalignant conditions monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). Clearly, RAS mutations contribute to both disease progression and relapse. However, targeting the MEK/ERK pathway has been unsuccessful in MM patients to date. Given the high frequency of RAS mutations in MM, we hypothesized that targeting this pathway could still be a promising strategy when combined with existing agents that have multifaceted mechanisms to promote tumor cell death, such as the recently approved histone deacetylase (HDAC) inhibitor LBH589 (panobinostat). Our results clearly demonstrate that low doses of LBH589 in combination with the MEK inhibitor AZD6244 induce BIM-dependent synergistic cell death in several MM cell lines and patient cells. Our studies also suggest that mutations in RAS/RAF could serve as a predictive biomarker for sensitivity to AZD6244/LBH589. RAS/RAF mutations appear to confer Mcl-1 dependence in MM cells, in part by driving up the phosphorylation of Mcl-1. The AZD6244/LBH589 combination is able to decrease the phosphorylation of Mcl-1 at several sites, which dissociates BIM-Mcl-1 complexes, ultimately leading to activation of the intrinsic apoptosis pathway. Additionally, we identified that wild-type RAS/RAF cells have relatively lower levels of phospho-Mcl-1, as well as higher levels of Bcl-2 and phospho-Bcl-2 when compared to mutated RAS/RAF cells. This seems to confer functional Bcl-2 dependence. Consequently, we found that wild-type RAS/RAF cells are sensitive to the BH3-mimetic ABT199 (venetoclax) when combined with LBH589. Through ongoing experiments, we hope to further confirm the mechanism of action of both these combinations, identify the particular HDAC that is required to be inhibited for the observed synergy, and validate RAS/RAF mutational status as a biomarker for predicting sensitivity to either combination. Our findings have broad therapeutic potential given the prevalence of RAS mutations in MM. Moreover, the ABT199/LBH589 combination could emerge as a targeted therapy for wild-type RAS patients, perhaps broadening the scope and capacity of Bcl-2 inhibition in MM. Citation Format: Kevin C. Miller, Jessica Haug, Teresa Kimlinger, Sanjay Kumar, Wilson Gonsalves, S. Vincent Rajkumar, Shaji K. Kumar, Vijay Ramakrishnan. HDAC inhibition in combination with MEK or BCL-2 inhibition as novel therapeutic strategies in multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3909.

Abstract Lung cancer is the deadliest cancer in the United States, contributing approximately 25% of all cancer deaths. Lung cancer risk is well-documented to increase in response to environmental factors, particularly tobacco smoking. As one might expect for a complex trait, there is also a significant genetic risk component in lung cancer, though it is not very well studied. We obtained whole exome sequencing (WES) genotype data from Washington University on 204 subjects from 25 extended families. These individuals were recruited from families with a history of lung cancer and previous analyses showed these 25 families be informative. The purpose of this study is to identify potential risk variants for lung cancer by performing genetic linkage analysis. Quality control was performed on the sequence data, filtering on parameters such as depth (less than 10), genotype quality (less than 10), missingness, and Mendelian inconsistencies. Identity-by-descent (IBD) values were also calculated to verify correct familial relationships. Quality control procedures left approximately 500,000 SNVs and indels for analysis. We performed two-point parametric linkage analysis assuming an autosomal dominant mode of inheritance with a disease allele frequency of 1%, a 10% penetrance for carriers and a 1% penetrance for non-carriers. Two discrete sets of linkage analyses were performed. One was a variant-based analysis, which evaluated linkage between the phenotype and individual SNVs or indels. The second was gene-based analysis, which created a multi-allelic pseudomarker corresponding to a gene from haplotypes of rare variants (minor allele frequency <= 0.01) located within that particular gene. Two-point linkage analysis was then performed on the pseudomarkers. While the variant-based analysis did not identify any genome-wide significant results, several were identified by the gene-based analysis. The highest HLOD scores were both greater than the genome-wide significance level of HLOD = 3.3 and were located on two regions of chromosome 1q: 1q42.13-43 and 1q21.2-21.1. In both regions, the significant HLOD scores clustered around known cancer genes. At the 1q42.13-43 region, signals centered on the cancer-implicated genes OBSCN and RYR2 (also a known mesothelioma gene), while at 1q21.2-21.1 the signals centered on five genes in the neuroblastoma breakpoint family (NBPF) genes, a cluster of recently duplicated genes. NBPF genes have previously been implicated in a variety of different cancers including lung cancer. We are currently performing additional analyses to corroborate the significant results, as well as examining the individual families to determine which families are driving the significant signals. Citation Format: Anthony M. Musolf, Haiming Sun, Bilal A. Moiz, Diptasri Mandal, Mariza de Andrade, Colette Gaba, Ping Yang, Yafang Li, Ming You, Elena Y. Kupert, Marshall W. Anderson, Ann G. Schwartz, Susan M. Pinney, Christopher I. Amos, Joan E. Bailey-Wilson. Whole exome sequencing identifies significantly linked regions on multiple chromosomes in families with a history of lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3276.

Abstract Background: We previously identified 5 SNPs at 4 susceptibility loci for diffuse large B-cell lymphoma (DLBCL) in individuals of European ancestry through a large genome-wide association study (Cerhan et al, Nat Gen 2014;46:1233-8); however, much of the heritability remains unexplained. To further elucidate genetic susceptibility to DLBCL, we sought to validate 2 loci at 3q13.33 and 3p24.1 that were suggestive in the original report. Methods: We selected two SNPs rs9831894 (3q13.33) and rs6773363 (3p24.1) for de novo replication from studies at the Mayo Clinic, MD Anderson, and Memorial Sloan Kettering. Logistic regression was used to estimate odds ratios (ORs), using a log-additive model, and adjusting for age, gender and significant eigenvectors for each genotyping center separately. For both SNPs, we then conducted a meta-analysis of all replication studies (n=3) and our original GWAS studies (n=4), encompassing in total 5662 cases and 9237 controls for rs9831894, and 5510 cases and 12,817 controls for rs6773363. Meta-analysis was conducted using the fixed-effects inverse variance method based on the β estimates and standard errors from each study. Results: In a meta-analysis of the 4 original GWAS scans (3856 cases and 7666 controls), rs9831894 (MAF=0.40) was associated with DLBCL risk (OR=0.84, P=4.52 x 10-9) and this replicated in a meta-analysis of the 3 studies with de novo genotyping (OR=0.80, P=4.17 x 10-5); the overall meta-analysis showed a strong association with DLBCL risk (OR=0.83, P=3.62 x 10-13). This locus maps near a plausible candidate gene, CD86, a protein coding gene and a member of the immunoglobulin superfamily that encodes a type I membrane protein. Binding of CD86 with cytotoxic T-lymphocyte-associated protein 4 negatively regulates T-cell activation and diminishes the immune response, while binding of CD86 with CD28 antigen is a costimulatory signal for activation of the T-cell. In a meta-analysis of the same 4 GWAS scans, rs6773363 (MAF=0.45) was tentatively associated with DLBCL risk (OR=1.17, P= 3.68 x 10-7) and this replicated in a meta-analysis of the studies with de novo genotyping (OR=1.27, P=3.78 x 10-7); the overall meta-analysis showed a strong association with DLBCL risk (OR=1.20, P=2.31 x 10-12). This locus also maps near a plausible candidate gene, eomesodermin (EOMES), a transcription factor crucial for embryonic development of the central nervous system and also putatively involved in T-cell differentiation in viral infection defense. Conclusion: In this follow-up analysis of our initial GWAS, we have identified two additional loci associated with risk of DLBCL, the most common lymphoma subtype. These loci provide additional evidence for the role of immune function in the etiology of DLBCL. Citation Format: Geffen Kleinstern, Michelle Hildebrand, Vijai Joseph, Sonja I. Berndt, Hervé Ghesquières, James McKay, Sophia S. Wang, Alexandra Nieters, David Cox, Alain Monnereau, Angela R. Brooks-Wilson, Qing Lan, Mads Melbye, Rebecca D. Jackson, Lauren R. Teras, Mark P. Purdue, Claire M. Vajdic, Demetrius Albanes, Anne Zeleniuch-Jacquotte, Simon Crouch, Yawei Zhang, Susan L. Slager, Xifeng Wu, Karin E. Smedby, Gilles Salles, Christine F. Skibola, Nathaniel Rothman, Stephen J. Chanock, James R. Cerhan. Inherited variants at 3q13.33 and 3p24.1 influences risk of diffuse large B-cell lymphoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 221.

Purpose of review In this review, we will discuss efforts and challenges in understanding and developing meaningful outcomes of critical care research, quality improvement and policy, which are patient-centered and goal concordant, rather than mortality alone. We shall discuss different aspects of what could constitute outcomes of critical illness as meaningful to the patients and other stakeholders, including families and providers. Recent findings Different outcome pathways after critical illness impact the patients, families and providers in multiple ways. For patients who die, it is important to consider the experience of dying. For the increasing number of survivors of critical illness, challenges of survival have surfaced. The physical, mental and social debility that survivors experience has evolved into the entity called post-ICU syndrome. The importance of prehospital health state trajectory and the need for the outcome of critical care to be aligned with the patients’ goals and preferences have been increasingly recognized. Summary A theoretical framework is outlined to help understand the impact of critical care interventions on outcomes that are meaningful to patients, families and healthcare providers.

AbstractDetection of myeloma progression (PD) relies on serial 24‐h urinary M protein measurements in patients without measurable serum M spike. We examined whether serial difference free light chain (dFLC) levels could be used as a surrogate for serial 24‐h urine M protein measurements in monitoring for PD in patients with baseline measurable urine M protein. We studied 122 patients who had serial measurement of urine M protein and serum FLC and had demonstrated PD. The median increase in dFLC with progression as defined by urine M spike was 110% (IQR: 55‐312) and median absolute increase was 74 mg/dL; while 89% of patients had dFLC increase ≥ 25%, 94% had absolute increase in dFLC > 10 mg/dL, and 98% met at least 1 of these 2 criteria at PD. In patients with baseline measurable serum FLC (n = 118), 89% had increase in dFLC ≥ 25%, 97% had dFLC increase of > 10 mg/dL, and 98% had 1 of the 2. We conclude that serial dFLC assessments can be used in place of serial 24‐h urine protein assessments during myeloma surveillance to monitor for PD. Once patients have an absolute increase in dFLC of >10 mg/dL from the nadir, a 24‐h urine collection can then be assessed to document PD as per the International Myeloma Working Group criteria.

DPP (dipeptidyl peptidase)-4 inhibitors are antidiabetic drugs that may increase heart failure in high-risk patients. NPY (neuropeptide Y) is coreleased with norepinephrine, causes vasoconstriction via the Y1 receptor, and is degraded by DPP4 to NPY (3–36) in vitro. NPY (3–36) decreases release of norepinephrine via the Y2 receptor. We tested the hypothesis that DPP4 inhibition would potentiate the vasoconstrictor effect of NPY. Eighteen nonsmokers (12 healthy controls and 6 with type 2 diabetes mellitus) participated in 1 of 2 randomized, double-blind, placebo-controlled crossover studies. First, subjects were randomized to order of treatment with sitagliptin 100 mg/d versus placebo for 7 days separated by 4-week washout. On the last day of treatment, NPY was infused by brachial artery and forearm blood flow was measured using plethysmography. Blood samples were collected after each dose. NPY infusions were repeated after 90-minute washout and intra-arterial enalaprilat. Second, 5 healthy subjects were randomized to crossover treatment with sitagliptin 100 mg/d plus valsartan 160 mg/d versus placebo plus valsartan. NPY infusions were performed on the seventh day of treatment. NPY caused dose-dependent vasoconstriction. During enalaprilat, sitagliptin significantly potentiated NPY-induced vasoconstriction in controls and diabetics ( P ≤0.02 for forearm blood flow in either group). Baseline norepinephrine release was increased during sitagliptin and enalaprilat, but not further by NPY. Sitagliptin increased the ratio of NPY to NPY (3–36). During valsartan, sitagliptin also significantly potentiated NPY-induced vasoconstriction ( P =0.009 for forearm blood flow). Potentiation of endogenous NPY could contribute to cardiovascular effects of DPP4 inhibitors in patients taking an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.