Citations

Abstract Background: Copper deficiency is an established cause of hematological abnormalities, traditionally described in malnourished infants and persons with malabsorption or short bowel syndromes, particularly those requiring long-term parenteral nutrition. With the recent increase in bariatric (weight reduction) surgery, acquired copper deficiency may be increasing in incidence but the diagnosis is frequently delayed. Methods: To outline the natural history of copper deficiency we searched the Mayo Clinic database and our heavy metals laboratory for patients diagnosed with low serum copper during the years 1974–2005. Copper deficiency was defined as a serum level < 0.75 μg/ml. Results: We identified 123 patients with a low serum copper. 77 patients were excluded as the the hypocupremia was either transient or due to other factors such as Wilson’s disease. The remaining 46 patients were all symptomatic. 25 patients had hematological abnormalities, 20 of these patients also had neurological involvement. 5 had isolated hematological manifestations and 21 patients had isolated neurological findings, most commonly myeloneuropathy. 13 presented with anemia and leukopenia, 5 with pancytopenia, 6 with anemia and 1 with isolated neutropenia. In 10 of the 25 cases, a secondary contributing cause for the hematological findings was identified. These included possible anemia of chronic disease (4), renal insufficiency (2), iron deficiency (1), B12 deficiency (1), GI hemorrhage (1), and splenomegaly (1) while copper deficiency was the only identifiable cause in the remaining 15 patients. Hematological parameters at diagnosis are outlined in the table. 15 of the 25 patients with hematological manifestations had a history of GI surgery, including 6 patients who had bariatric surgery. The median time from surgery to diagnosis was 11.5 years (range 8 months - 45 years) and was shorter for bariatric surgery (10 years, range: 8 months - 25 years) than for non-bariatric surgery (18 years, range: 2–45 years). 1 patient had a history of excessive zinc ingestion, 1 had malabsorption secondary to chronic pancreatitis and 1 patient had celiac disease. In 7 cases, no explanation was found. 24 of 25 patients received treatment with oral or intravenous copper, 5 were lost to follow up. In 16 patients the hematologic parameters either improved significantly or normalized, while in the remaining 3 patients there was no improvement. Factors that may explain the lack of response in these patients included splenomegaly (1), renal insufficiency (1) and multiorgan illness (1). Conclusion: Copper deficiency is an increasingly frequent cause of hematological abnormalities, and can manifest with refractory cytopenias with or without associated neurological symptoms. Thrombocytopenia is relatively rare. Previous GI surgery, especially bariatric surgery, appears to be a major causative factor. Most patients will have an improvement in hematological parameters after copper supplementation. Recognition of copper deficiency is therefore assuming greater importance in view of the increasing frequency of bariatric surgery, ease of treatment and potential for irreversible neurological damage if diagnosis is delayed. Hematologic parameters at diagnosis HgB (g/dL) MCV (fL) WBC (x109/L) ANC(x109/L) Plts(x109/L) Median 10.6 99 3.0 1.25 215 Range 7.9-13.6 83.9-114.1 1-5.6 0.18-4.0 54-554

Abstract Background: Copper deficiency is increasingly being diagnosed in adults with malabsorption syndromes, especially following GI surgery such as gastric and bowel resections and bariatric surgery. The most common hematologic manifestations are refractory anemia and neutropenia and patients have been misdiagnosed as having myelodysplasia. Certain findings on bone marrow examination are felt to be characteristic for copper deficiency such as maturation arrest in the myeloid lineage, vacuolization of the erythroid and myeloid precursors and ringed sideroblasts. Methods: We reviewed all cases of copper deficiency diagnosed at the Mayo Clinic from 1974 – 2005. We also reviewed all cases of low serum copper (< 0.75 μg/ml) identified in our heavy metals laboratory. Results: 123 patients with hypocupremia were identified. 77 patients were excluded as the hypocupremia was either transient or due to other factors such as Wilson’s disease. Twenty-five patients had hematologic manifestations, including anemia and leukopenia (13), isolated anemia (6), pancytopenia (5), and isolated neutropenia (1). Eighteen patients had a bone marrow biopsy. We were able to retrieve and review bone marrow slides in 11 cases. The bone marrow examination findings are shown in the table. The marrow cellularity was decreased in four cases. All cases had granulocytic hypoplasia but preserved megakaryopoiesis. Nine cases had relative erythroid hyperplasia. All but one bone marrow had cytoplasmic vacuoles in pronormoblasts and myelocytes. Increased iron within macrophages was seen in 9 cases and increased iron in plasma cells was noted in 8 cases. This was especially prominent in the cases with low peripheral white blood count. Ringed sideroblasts were seen in 4 cases and were more commonly seen in anemic patients. The initial bone marrow examination commonly suggested toxic effect (drugs or alcohol), myelodysplasia or were non-diagnostic. Conclusion: We have described the bone marrow findings in 11 copper deficient patients with abnormal blood counts. None of these patients was suspected of copper deficiency based on the initial marrow examination. The initial impression was commonly toxic effect due to the presence of cytoplasmic vacuolization. Patients with ringed sideroblasts were suspected of having MDS. Copper deficiency should be considered in patients with cytopenias and the described bone marrow findings, especially if there is evidence of malabsorption or a history of GI surgery such as gastric resection or bariatric surgery. Bone marrow findings Patient Cellularity Ery/gran/meg Vacuoles Iron (mø/PC) RS Hgb/Plt WBC/ANC nl: normal, 0: absent, Ery/gran/meg: erythro-/granulo-/megakaryopoiesis, Iron (mø/PC): Iron in macrophages and plasma cells, RS: Ringed sideroblasts 1 ↓ ↑/↓/nl Yes ↑/↑ No 11.3/203 3.2/1.1 2 Nl ↑/↓/nl Yes 0/0 No 11.4/192 5.6/4.0 3 Nl ↑/↓/nl No ↑/0 No 10.6/95 3.0/2.2 4 ↓ ↑/↓/nl Yes ↑/↑ No 13.6/128 4.2/0.92 5 Nl ↑/↓/nl Yes ↑/↑ 10% 9.8/215 1.4/0.6 6 ↓ ↑/↓/nl Yes ↑/↑ No 7.9/292 1.8/0.18 7 Nl ↑/↓/nl Yes ↑/↑ No 10.6/280 2.7/1.4 8 Nl nl/↓/nl Yes ↑/↑ 20% 8.1/330 1.5/0.24 9 Nl ↑/↓/nl Yes ↑/↑ <1% 9.4/252 1.3/0.25 10 ↓ Nl/↓/nl Yes 0/0 No 10.5/167 2.4/1.67 11 Nl ↑/↓/nl Yes ↑/↑ yes 12.5/224 4.2/3.9

Abstract Background: Multiple myeloma (MM) is characterized by the invasion of malignant plasma cells into the bone marrow. While first line treatment options result in significant clinical benefit to patients, spatiotemporal clonal evolution results in disease relapse and mortality. Advances in genomics have armed clinicians with unprecedented insight into the molecular architecture of MM cells, however, the clinical benefit derived by genomics-guided intervention has been limited. We present a novel computational biology modelling (CBM) tool, which takes into account the combined effect of individual mutations, gene copy number abnormalities and large scale chromosomal changes in order to predict the salient molecular pathways utilized by the MM cell for survival. By reverse-engineering MM cell architecture in silico, the CBM tool is able to predict drug response and resistance mechanisms. Thus, our aim was to determine the accuracy of the CBM tool in predicting treatment response of relapsed/refractory MM patients for future management of their disease, in a more individualized manner. Methods: Cytogenetics and somatic mutations (by targeted NGS) for 15 MM patients were input into the CBM model to predict responses to different therapeutic combinations. All patients were relapsed to prior treatment. CBM uses PubMed and other online resources to generate patient-specific protein network maps of activated and inactivated disease pathways. We simulated the specific combinations of the drugs per patient and measured the quantitative drug effect on a composite MM disease inhibition score (i.e., cell proliferation, viability, apoptosis and paraproteins). The actual clinical outcome of the treatments was compared with predicted outcomes. Results: Fifteen patients were analysed using CBM for prediction of treatment response after NGS was performed. 13/15 were clinically evaluable, of which 1 was a responder and 12 were non-responder. 6/13 patients were treated on clinical trial and 7/13 were on drug combinations per physician decision. CBM correctly predicted 1 responder and 11 non-responder with a PPV of 50%, NPV 100%, specificity 91.67%, sensitivity 100%. The accuracy of CBM prediction was 92.30%. CBM also predicted the response of prior drug therapies for its non-response at relapse. For prior drug treatment options, 14 patients were evaluable. All the 14 patients were clinically non-responders and CBM correctly predicted for 13 patients with NPV 100%, Specificity 92.85% and overall accuracy of 92.85%. The majority of patients did not respond to therapies recommended at relapse. As an example, the operative molecular pathways from 2 patients who did not respond to combination treatment, either pre-NGS or post-NGS profiling, are shown in Fig. 1 and Table 1. CBM identified amplification (AMP) of chromosome (chr) 1 (WNT3A, IL6R, CKS1B, MCL1, PIK3C2B, USF1), chr 3 (HES1, PIK3CA, CTNNB1, WNT7A, FANCD2), chr 5 (IL6ST, IRF1, GLRX, SKP2), chr 7 (CDK5, EZH2, IL6, CAV1, ABCB1), chr 9 (NOTCH1, HSPA5, FANCC, FANCG), chr 15 (DLL4, FANCI, ALDH1A2), chr 19 (ERCC1, ERCC2, USF2); deletion(DEL) of chr 13 (CUL4A) , chr 16 (AXIN1, CDH1) and TP53 mutation in different combinations, which confer resistance to therapies at relapse. Conclusions: The CBM technology represents a potential means to identify therapeutic options for MM patients based on the patients individual tumor-genome profile and which can also be deployed for uncovering drug resistance mechanisms. This tool may aid clinicians in decision making for recommending the most appropriate therapy based on standard of care agents or clinical trials; thus improving patient outcomes and reducing unnecessary costs or drug-related toxicities. Disclosures Singh: Cellworks Research India Private Limited: Employment. Sauban:Cellworks Research India Private Limited: Employment. Husain:Cellworks Research India Private Limited: Employment. Kumar:Cellworks Research India Private Limited: Employment. Kumari:Cellworks Research India Private Limited: Employment. Tyagi:Cellworks Research India Private Limited: Employment. Abbasi:Cell Works Group Inc.: Employment. Vali:Cell Works Group Inc.: Employment. Ailawadhi:Pharmacyclics: Research Funding; Takeda: Consultancy; Celgene: Consultancy; Amgen: Consultancy; Janssen: Consultancy.

Abstract Introduction Varied presentations of vitamin B12 (B12) deficiency include hematologic (megaloblastic anemia) and neurologic (myelopathy, peripheral neuropathy). Delayed recognition and treatment may have serious consequences. Assessing B12 status can be challenging due to diverse laboratory assays and thresholds, resulting in a wide range of reported prevalence of B12 deficiency from 3-26%. Comorbidities may also spuriously elevate or suppress B12 levels. Methylmalonic acid (MMA) level, often used as a companion test to assess for B12 deficiency, may also be affected by differing laboratory thresholds and other medical comorbidities, such as renal dysfunction. Our institutional approach to B12 assessment, termed the pernicious anemia (PA) cascade, consists of reflexive testing to 1) document low B12 stores (B12 levels with or without MMA), and 2) diagnose pernicious anemia (intrinsic factor binding antibody [IFBA] with or without gastrin assay). In this study, our objectives were: (1) assess the usefulness of our B12 testing algorithm and associated laboratory thresholds for identifying B12 deficiency, and (2) evaluate clinical follow-up of test results as part of a quality project. Methods In this retrospective study, adult (age ≥18 years) inpatients who had B12 testing from 2007 to 2013 were identified. Medical records for those patients with B12 levels 150-400 ng/L were reviewed. Data abstracted included patient demographics, indication for B12 testing, B12 levels, results for MMA, IFBA, gastrin, serum creatinine, complete blood count, and clinical outpatient follow-up. The PA cascade algorithm is as follows: 1) for B12 <150 ng/L, IFBA is performed; 2) if IFBA is negative or indeterminate, then gastrin is performed; 3) for B12 150-400 ng/L, MMA is performed; 4) if MMA is >0.40 nmol/mL, then IFBA is performed. Reference range for B12 is 180-914 ng/L. Patients were determined to be B12 deficient if B12 level was <180 ng/L, or if B12 was 150-400 ng/L with elevated MMA and macrocytosis in the absence of significant renal dysfunction, defined as serum creatinine ≥2.0 mg/dL. Results Records of 326 patients (150 female) were reviewed. Indications for B12 testing were: hematologic, 175 patients (53.7%); neurologic, 127 patients (39.0 %), psychiatric, 18 patients (5.5%); other, 4 patients (1.2%). Fifty-nine of 326 (18.1%) patients were B12 deficient, of whom 17 of 59 (28.8%) had PA. There were 54 cases of elevated MMA, >0.40 nmol/mL, of which 30 cases had mildly elevated MMA, >0.40 nmol/mL and ≤0.60 nmol/mL, considered to be the MMA "gray zone". Thirty-two of the total 326 patients had serum creatinine ≥2.0 mg/dL, of which 23 patients also had elevated MMA. Elevated MMA in 13 of these 23 patients was more likely due to renal dysfunction than to B12 deficiency. B12 testing results were not mentioned in hospital discharge summaries for 173 patients, including 8 patients with B12 deficiency. For 22 B12-deficient patients, there was no documentation of B12 replacement. Conclusions The PA cascade detected B12 deficiency in a significant number of inpatients with low-normal B12 levels that might have otherwise been missed; 28.8% of this group had PA for whom long-term B12 replacement is indicated. As treatment for B12 deficiency is inexpensive, non-toxic, and non-invasive, it is reasonable to evaluate B12 status by cascade testing which may provide additional diagnostic data beyond B12 level. Notable clinical practice findings from this study include the lack of B12 results in 173 of 326 discharge summaries, and no record of B12 supplementation in 22 of 59 patients with B12 deficiency. These gaps in documentation and follow-up may be associated with the relatively long turnaround time of MMA testing. Efforts at improving documentation, communication, and treatment of B12 deficiency are ongoing. Disclosures No relevant conflicts of interest to declare.

Abstract Background: The observation that B-cell receptor (BCR) signaling play a critical role in the survival of malignant Waldenstrom macroglobulinemia (WM) cells is highlighted by clinical efficacy of the BTK-inhibitor, ibrutinib in WM patients. BCR signaling leads to downstream activation of several intermediary components whose activity results in increased cell proliferation. Although disruption of this axis at the proximal end (BCR) has proved successful in WM, the exact role and impact of targeting the distal intermediaries remains unknown, particularly in aggressive forms of the disease. This is important as induction of resistance to ibrutinib is clearly documented which can either be mediated through mutational changes in BTK or other members within the BCR signalosome. Using a novel simulation-based approach, we reverse-engineered the WM cell molecular architecture to uncover the role of oncogenic intermediaries distal to the BCR complex in advanced-stage WM and conducted a virtual drug-screen targeting these pathways with in vitro validation. Methods: The human WM cell line, RPCI-WM1, was used in simulation and validation experiments. RPCI-WM1 was established from a highly drug-refractory advanced disease stage patient refractory to both rituximab and bortezomib. Publically available as well as proprietary genomic and cytogenetic data was utilized for the creation of the RPCI-WM1 patient avatar, which through simulation identified the salient and prominently dysregulated cellular pathways. Importantly, illustrating these pathways highlights common convergence points on increased proliferation and viability. These convergence points were then directly and indirectly targeted by simulated testing of a library of FDA approved drugs and those impacting these dysregulated pathways were shortlisted. A standardized library of equations models all the biological reactions such as enzymatic reactions, allosteric binding and protein modulation by phosphorylation, de-phosphorylation, ubiquitination, acetylation, prenylation and others. A library of FDA approved drug agents (n~150) and those in clinical study has been developed and was simulated individually and in combination on the RPCI-WM1 (advanced stage WM patient) avatar. Results: MYD88L265P mutation, absence of CXCR4 mutations and additional chromosomal aberrations (derivatives, translocations, deletions and amplifications of chromosomes 3, 6, 9, 13, 18 and 19), which are notable features of RPCI-WM1 cells were configured and modeled in silico. The RPCI-WM1 patient avatar was predicted to have increased IRAK1/4 engagement due to MYD88 mutation and high copy number (CN) of IL18. Downregulation of DUSP1 through MYD88-mediated signaling was noted to result in high ERK activity. Increase gene copy number of both FOS and ETS1, which are downstream of ERK, were noted. Notably, FOS is a key regulator of the AP1 complex, whose activity is regulated upstream by ERK. The transcription factor, ETS1 was also predicted as over expressed and ERK-mediated phosphorylation of ETS1 regulates the activity of ETS1. The RPCI-WM1 patient avatar model also indicated high AKT due to indirect convergence of multiple aberrations. Drug screening revealed sensitivity to the MEK inhibitor, binimetinib. Although no copy number variation in MEK-ERK pathway genes were detected, per simulation, MYD88 mutation through inactivation of DUSP1 activated ERK and downstream associated survival pathways. The simulation predictions were experimentally validated. As predicted, binimetinib significantly inhibited proliferation and viability of RPCI-WM1 cells (IC50 <100nM). Conclusions: Our study demonstrates the functional role and impact of MEK1/2 - an oncogenic component distal to the BCR, and whose activity can be targeted with binimetinib to elicit a lethal effect in advanced-stage WM cells. We also show the utility of a novel technology, which is capable of integrating genome-wide molecular data points to emulate the salient genomic drivers of a given tumor cell and test its sensitivity to numerous drugs in a high-throughput manner for truly personalized therapy. Disclosures Vali: Cellworks Group, Inc.: Employment, Equity Ownership. Kumar:Cellworks Group, Inc.: Employment. Singh:Cellworks Group, Inc.: Employment. Usmani:3Cellworks Research India Limited: Employment. Grover:3Cellworks Research India Limited: Employment. Abbasi:Cellworks Group, Inc.: Employment, Equity Ownership.

Abstract Background: The concept of treatment personalization in cancer often means associating a drug with an actionable mutation. One limitation of this approach is that most tumors have multiple aberrations, which are not actionable. Here we present a predictive simulation based approach which models the molecular architecture and resulting physiology of advanced stage Waldenströms Macroglobulinemia (WM, a B-lymphoplasmacytic lymphoma) as well as the design of novel personalized treatments using existing drug agents for rapid clinical translation with validations. Methods: We used the human WM cell line, RPCI-WM1, as a surrogate model of refractory, advanced patient sub-groups. Publically available as well as proprietary genomic and cytogenetic data was utilized for the creation of an avatar of RPCI-WM1, which through simulation identified the salient and prominently dysregulated cellular pathways. Importantly, illustrating these pathways highlights common convergence points on increased proliferation and viability. These convergence points were then directly and indirectly targeted by simulated testing of a library of FDA approved drugs and those impacting these dysregulated pathways were shortlisted. Importantly, this simulation avatar approach not only looks for agents acting on the specific gene mutation, but also predicts the convergence points to be attacked. The personalized simulation avatar technology is a comprehensive functional proteomics representation of WM physiology network. A standardized library of equations models all the biological reactions such as enzymatic reactions, allosteric binding and protein modulation by phosphorylation, de-phosphorylation, ubiquitination, acetylation, prenylation and others. A library of over 150 digital functional library of FDA approved drug agents and those in clinical study has been developed and was simulated individually and in combination on the RPCI-WM1 (advanced stage WM patient) avatar. Results: Overall, there were 272 gene aberrations used to create the RPCI-WM1 simulation avatar. Importantly, presence of MYD88L265P mutation, absence of CXCR4 mutations and additional chromosomal aberrations (derivatives, translocations, deletions and amplifications of chromosomes 3, 6, 9, 13, 18 and 19) were taken into account. The RPCI-WM1 patient avatar predicted increased IRAK1/4 engagement due to MYD88 mutation and high copy number (CN) of IL18, to increased NFkB via TAK1, and increased ERK signaling through IRAK1/4 mediated down regulation of DUSP1. The RPCI-WM1 model also indicated high AKT due to indirect convergence of multiple aberrations. Another key characteristic of the genomic aberrations driving proliferative phenotype was low CN of RB1, FOXO3, CDKN2A, CDKN2B, and CEBPa. Modeling predicted sensitivity to the aurora kinase (AURKA) inhibitor, tozasertib and resistance to cell cycle cyclin D-CDK4/6 pathway inhibitors., Although there was no CN variation in AURKA, as per simulation its expression and activity was upregulated due to high CN of ETS1 and PAK1 and increased activation of NFkB, HIF1A and STAT5 in the disease network. Despite high proliferation, LEE011 (representative CDK4/6 inhibitor) was predicted to exert no cytotoxic effect, due to the presence of an RB1 deletion. Through phosphorylation of RB1, the CDK4-CyclinD1 complex aids in release of E2F1 from the RB1 sequestered complex, to drive proliferation. However, predictive modeling suggested that with an RB1 deletion present, this regulation becomes irrelevant and therefore the inhibition of the CDK4/6-CyclinD1 complex would be ineffective. The simulation predictions were experimentally validated. As predicted, AURKA inhibition with tozasertib significantly inhibited viability and proliferation of RPCI-WM1 cells (IC50 ~7nM) whereas inhibition of CDK4/6 with LEE011 had no effect on tumor cell survival. Conclusions: This study demonstrates the utility of a novel technology for rapid translation of a (WM) genetic signature towards a personalized therapeutic strategy. This simulation avatar based approach holistically integrates all genomic aberration information to design personalized therapies architected from FDA approved and/or clinical drug agents with therapeutic potential for WM patients based on unique genetic signatures. Disclosures Vali: CellWorks: Employment. Kumar:CellWorks: Employment. Singh:CellWorks: Employment. Kapoor:Cellworks Research India Limited: Employment. Abbasi:CellWorks: Employment, Equity Ownership.

Objective To compare the effectiveness of rituximab (RTX) with cyclophosphamide (CYC) in patients who have central nervous system (CNS) involvement in antineutrophil cytoplasmic antibody–associated vasculitis (AAV). Methods A computer-assisted search was conducted to identify all adults who received a diagnosis of AAV with CNS involvement from January 1, 1997, through July 1, 2017, at our institution. Results Of the 17 patients identified, 11 had received RTX, and 6 had received CYC. Age at diagnosis of CNS involvement was similar in both groups. In the RTX group, 91% of the patients were women; in the CYC group, 33% were women (p = 0.03). At the time of CNS presentation, orbital involvement had occurred in 6 patients in the RTX group and in none of the patients in the CYC group. Initial remission of induction was achieved in all patients (100%) in the CYC group and in 10 patients (91%) in the RTX group. Two patients had no response to RTX: 1 patient when RTX was used for remission induction at the time of diagnosis and the second patient when RTX was used for remission induction after relapse. The median follow-up was 38 months (range, 9–127 months). Central nervous system relapse occurred in 4 patients in the RTX group and in 1 patient in the CYC group. Of the 4 patients in the RTX group with relapse, 3 had marked ocular involvement. Both nonresponder patients in the RTX group had ocular involvement. Conclusion Rituximab is as effective as CYC in remission induction in patients with CNS involvement in AAV.