ARID1A Mutations in Gastric Cancer: A Review with Focus on Clinicopathological Features, Molecular Background and Diagnostic Interpretation.

AT-rich interaction domain 1 (ARID1A) is a pivotal gene with a significant role in gastrointestinal tumors which encodes a protein referred to as BAF250a or SMARCF1, an integral component of the SWI/SNF (SWItch/sucrose non-fermentable) chromatin remodeling complex. This complex is instrumental in regulating gene expression by modifying the structure of chromatin to affect the accessibility of DNA. Mutations in ARID1A have been identified in various gastrointestinal cancers, including colorectal, gastric, and pancreatic cancers. These mutations have the potential to disrupt normal SWI/SNF complex function, resulting in aberrant gene expression and potentially contributing to the initiation and progression of these malignancies. ARID1A mutations are relatively common in gastric cancer, particularly in specific adenocarcinoma subtypes. Moreover, such mutations are more frequently observed in specific molecular subtypes, such as microsatellite stable (MSS) cancers and those with a diffuse histological subtype. Understanding the presence and implications of ARID1A mutations in GC is of paramount importance for tailoring personalized treatment strategies and assessing prognosis, particularly given their potential in predicting patient response to novel treatment strategies including immunotherapy, poly(ADP) ribose polymerase (PARP) inhibitors, mammalian target of rapamycin (mTOR) inhibitors, and enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2) inhibitors.

Online Classification of Unstructured Free-Living Exercise Sessions in People with Type 1 Diabetes.

Background: Managing exercise in type 1 diabetes is challenging, in part, because different types of exercises can have diverging effects on glycemia. The aim of this work was to develop a classification model that can classify an exercise event (structured or unstructured) as aerobic, interval, or resistance for the purpose of incorporation into an automated insulin delivery (AID) system. Methods: A long short-term memory network model was developed with real-world data from 30-min structured sessions of at-home exercise (aerobic, resistance, or mixed) using triaxial accelerometer, heart rate, and activity duration information. The detection algorithm was used to classify 15 common free-living and unstructured activities and relate each to exercise-associated change in glucose. Results: A total of 1610 structured exercise sessions were used to train, validate, and test the model. The accuracy for the structured exercise sessions in the testing set was 72% for aerobic, 65% for interval, and 77% for resistance. In addition, we tested the classifier on 3328 unstructured sessions. We validated the session-associated change in glucose against the expected change during exercise for each type. Mean and standard deviation of the change in glucose of -20.8 (40.3) mg/dL were achieved for sessions classified as aerobic, -16.2 (39.0) mg/dL for sessions classified as interval, and -11.6 (38.8) mg/dL for sessions classified as resistance. Conclusions: The proposed algorithm reliably identified physical activity associated with expected change in glucose, which could be integrated into an AID system to manage the exercise disturbance in glycemia according to the predicted class.

Ketone-Based Alert System for Insulin Pump Failures.

BACKGROUND: An increasing number of individuals with type 1 diabetes (T1D) manage glycemia with insulin pumps containing short-acting insulin. If insulin delivery is interrupted for even a few hours due to pump or infusion site malfunction, the resulting insulin deficiency can rapidly initiate ketogenesis and diabetic ketoacidosis (DKA). METHODS: To detect an event of accidental cessation of insulin delivery, we propose the design of ketone-based alert system (K-AS). This system relies on an extended Kalman filter based on plasma 3-beta-hydroxybutyrate (BOHB) measurements to estimate the disturbance acting on the insulin infusion/injection input. The alert system is based on a novel physiological model capable of simulating the ketone body turnover in response to a change in plasma insulin levels. Simulated plasma BOHB levels were compared with plasma BOHB levels available in the literature. We evaluated the performance of the K-AS on 10 in silico subjects using the S2014 UVA/Padova simulator for two different scenarios. RESULTS: The K-AS achieves an average detection time of 84 and 55.5 minutes in fasting and postprandial conditions, respectively, which compares favorably and improves against a detection time of 193 and 120 minutes, respectively, based on the current guidelines. CONCLUSIONS: The K-AS leverages the rapid rate of increase of plasma BOHB to achieve short detection time in order to prevent BOHB levels from rising to dangerous levels, without any false-positive alarms. Moreover, the proposed novel insulin-BOHB model will allow us to understand the efficacy of treatment without compromising patient safety.

Pharmacokinetic Model-Based Control across the Blood-Brain Barrier for Circadian Entrainment.

The ability to shift circadian phase in vivo has the potential to offer substantial health benefits. However, the blood-brain barrier prevents the absorption of the majority of large and many small molecules, posing a challenge to neurological pharmaceutical development. Motivated by the presence of the circadian molecule KL001, which is capable of causing phase shifts in a circadian oscillator, we investigated the pharmacokinetics of different neurological pharmaceuticals on the dynamics of circadian phase. Specifically, we developed and validated five different transport models that describe drug concentration profiles of a circadian pharmaceutical at the brain level under oral administration and designed a nonlinear model predictive control (MPC)-based framework for phase resetting. Performance of the novel control algorithm based on the identified pharmacokinetic models was demonstrated through simulations of real-world misalignment scenarios due to jet lag. The time to achieve a complete phase reset for 11-h phase delay ranged between 48 and 72 h, while a 5-h phase advance was compensated in 30 to 60 h. This approach provides mechanistic insight into the underlying structure of the circadian oscillatory system and thus leads to a better understanding of the feasibility of therapeutic manipulations of the system.

Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes.

BACKGROUND: Managing glycemia during and after exercise events in type 1 diabetes (T1D) is challenging since these events can have wide-ranging effects on glycemia depending on the event timing, type, intensity. To this end, advanced physical activity-informed technologies can be beneficial for improving glucose control. METHODS: We propose a real-time physical activity detection and classification framework, which builds upon random forest models. This module automatically detects exercise sessions and predicts the activity type and intensity from tri-axial accelerometer, heart rate, and continuous glucose monitoring records. RESULTS: Data from 19 adults with T1D who performed structured sessions of either aerobic, resistance, or high-intensity interval exercise at varying times of day were used to train and test this framework. The exercise onset and completion were both predicted within 1 minute with an average accuracy of 81% and 78%, respectively. Activity type and intensity were identified within 2.38 minutes and from the exercise onset. On participants assigned to the test set, the average accuracy for activity type and intensity classification was 74% and 73%, respectively, if exercise was announced. For unannounced exercise events, the classification accuracy was 65% for the activity type and 70% for its intensity. CONCLUSIONS: The proposed module showed high performance in detection and classification of exercise in real-time within a minute of exercise onset. Integration of this module into insulin therapy decisions can help facilitate glucose management around physical activity.

Development of a Novel Insulin Sensor for Clinical Decision-Making.

BACKGROUND: Clinical decision support systems that incorporate information from frequent insulin measurements to enhance individualized diabetes management remain an unmet goal. The development of a disposable insulin strip for fast decentralized point-of-care detection replacing the current centralized lab-based methods used in clinical practice would be highly desirable to improve the establishment of individual insulin absorption patterns and algorithm modeling processes. METHODS: We carried out the development and optimization of a novel decentralized disposable insulin electrochemical sensor focusing on obtaining high analytical and operational performance toward achieving a true point-of-care insulin testing device for clinical on-site application. RESULTS: Our novel insulin immunosensor demonstrated an attractive performance and efficient user-friendly operation by providing high sensitivity capability to detect endogenous and analog insulin with a limit of detection of 30.2 pM (4.3 µiU/mL), rapid time-to-result, stability toward remote site application, and scalable low-cost fabrication with an estimated cost-of-goods for disposable consumables of below $5, capable of near real-time insulin detection in a microliter (≤10 µL) sample droplet of undiluted serum within 30 minutes. CONCLUSIONS: The results obtained in the optimization and characterization of our novel insulin sensor illustrate its suitability for its potential application in remote clinical environments for frequent insulin monitoring. Future work will test the insulin sensor in a clinical research setting to assess its efficacy in individuals with type 1 diabetes.

Clinical Evaluation of a Novel Insulin Immunosensor.

BACKGROUND: The estimation of available active insulin remains a limitation of automated insulin delivery systems. Currently, insulin pumps calculate active insulin using mathematical decay curves, while quantitative measurements of insulin would explicitly provide person-specific PK insulin dynamics to assess remaining active insulin more accurately, permitting more effective glucose control. METHODS: We performed the first clinical evaluation of an insulin immunosensor chip, providing near real-time measurements of insulin levels. In this study, we sought to determine the accuracy of the novel insulin sensor and assess its therapeutic risk and benefit by presenting a new tool developed to indicate the potential therapeutic consequences arising from inaccurate insulin measurements. RESULTS: Nine adult participants with type-1 diabetes completed the study. The change from baseline in immunosensor-measured insulin levels was compared with values obtained by standard enzyme-linked immunosorbant assay (ELISA) after preprandial injection of insulin. The point-of-care quantification of insulin levels revealed similar temporal trends as those from the laboratory insulin ELISA. The results showed that 70% of the paired immunosensor-reference values were concordant, which suggests that the patient could take action safely based on insulin concentration obtained by the novel sensor. CONCLUSIONS: This proposed technology and preliminary feasibility evaluation show encouraging results for near real-time evaluation of insulin levels, with the potential to improve diabetes management. Real-time measurements of insulin provide person-specific insulin dynamics that could be used to make more informed decisions regarding insulin dosing, thus helping to prevent hypoglycemia and improve diabetes outcomes.

Concept of the "Universal Slope": Toward Substantially Shorter Decentralized Insulin Immunoassays.

Decentralized sensing of analytes in remote locations is today a reality. However, the number of measurable analytes remains limited, mainly due to the requirement for time-consuming successive standard additions calibration used to address matrix effects and resulting in greatly delayed results, along with more complex and costly operation. This is particularly challenging in commonly used immunoassays of key biomarkers that typically require from 60 to 90 min for quantitation based on two standard additions, hence hindering their implementation for rapid and routine diagnostic applications, such as decentralized point-of-care (POC) insulin testing. In this work we have developed and demonstrated the theoretical framework for establishing a universal slope for direct calibration-free POC insulin immunoassays in serum samples using an electrochemical biosensor (developed originally for extended calibration by standard additions). The universal slope is presented as an averaged slope constant, relying on 68 standard additions-based insulin determinations in human sera. This new quantitative analysis approach offers reliable sample measurement without successive standard additions, leading to a dramatically simplified and faster assay (30 min vs 90 min when using 2 standard additions) and greatly reduced costs, without compromising the analytical performance while significantly reducing the analyses costs. The substantial improvements associated with the new universal slope concept have been demonstrated successfully for calibration-free measurements of serum insulin in 30 samples from individuals with type 1 diabetes using meticulous statistical analysis, supporting the prospects of applying this immunoassay protocol to routine decentralized POC insulin testing.

Mechanical Thrombectomy for Acute Ischemic Stroke Due to Large Vessel Occlusion in Argentina: An Economic Analysis.

OBJECTIVES: Mechanical thrombectomy (MT) after intravenous thrombolysis (IV-tPA) is an effective and cost-saving treatment for stroke due to large vessel occlusion. However, rates of MT use are low in Argentina. This study was designed to estimate the economic value and the budget impact of incorporating MT after thrombolysis, simulating scenarios from Argentinian compulsory social health insurance (Obras Sociales) and private insurances (Empresas de Medicina Prepaga). MATERIALS AND METHODS: We adapted a previously published cost-utility and budget-impact (CUA and BIA) model to the Argentinian setting. The CUA was carried out for a lifetime horizon with efficacy inputs from the SWIFT PRIME clinical trial. For seven possible health states, we identified local costs (Argentinian Pesos AR$), utility (QALY), and transition/distribution probabilities (5% discounted rate) and performed deterministic and probabilistic sensitivity analyses. The BIA was based on a six-step approach and a static model for a five-year horizon, and two scenarios (staggered growth and no growth). RESULTS: Despite higher incremental procedure costs, IV-tPA and MT was dominant over IV-tPA alone (AR$1,049,062 overall savings). Cost-effectiveness remained in the deterministic sensitivity analysis (100% probability of cost-effectiveness). Increased MT procedure volume resulted in savings in years three (0.96%), four (2.6%), and five (4.4%). By year five, 1,280 patients were treated with MT (versus 480) with overall savings of 1.8% (AR$817,244,417). CONCLUSIONS: MT after IV-tPA is cost-effective in Argentina. Savings offset the incremental hospitalization and long-term costs from the third year onwards. With increased, access the superior efficacy of MT mitigates future disability and comorbidity, reducing overall expenses.

Medullary Carcinoma of the Gastrointestinal Tract: Report on Two Cases with Immunohistochemical and Molecular Features.

Medullary carcinoma of the colon is a rare histological variant characterized by a poorly differentiated morphology, an aberrant immunophenotype, and microsatellite instability. Despite the lack of glandular differentiation, medullary carcinoma is reported to have a good prognosis. It is typically located in the right colon and frequently affects older women. Due to its clinical, histological, biological, and genetic peculiarity, medullary carcinoma requires an accurate diagnosis and the awareness of this diagnostic possibility. We describe the morphological, immunohistochemical, and molecular findings of two interesting cases, the first one in the right colon of a patient and the second one in the terminal ileum of a patient with Crohn's disease. Deeper knowledge of all the biological and clinical features will allow appropriate and specific treatment of this tumor in the future.

Clear Cell Carcinoma Arising in an Abdominal Wall Cesarean Section Scar: A Case Report With Description of Pathological and Molecular Features.

Clear cell carcinoma is a clinically and biologically distinct type of carcinoma predominantly encountered in the ovary and endometrium. In the ovary, it is frequently associated with endometriosis, which is a well-known risk factor. Endometriosis has often been described in the abdominal wall of women who had a cesarean section; however, malignant transformation is a very rare event, occurring in <1% of cases. The authors report a case involving a 52-year-old woman with an abdominal wall nodule at a cesarean section scar. Radiology revealed a mass, measuring 8 cm in size, in the abdominal wall suggestive of a soft tissue tumor. After resection, histology revealed the presence of clear, eosinophilic, and hobnail cells, which, together with immunohistochemical and molecular findings, enabled the diagnosis of clear cell carcinoma of the abdominal wall. The present report describes the clinical, radiological, pathological, and molecular features of an unusual abdominal lesion that represents a rare but challenging diagnosis.

Review of Automated Insulin Delivery Systems for Individuals with Type 1 Diabetes: Tailored Solutions for Subpopulations.

Automated insulin delivery (AID) systems have proven safe and effective in improving glycemic outcomes in individuals with type 1 diabetes (T1D). Clinical evaluation of this technology has progressed to large randomized, controlled outpatient studies and recent commercial approval of AID systems for children and adults. However, several challenges remain in improving these systems for different subpopulations (e.g., young children, athletes, pregnant women, seniors and those with hypoglycemia unawareness). In this review, we highlight the requirements and challenges in AID design for selected subpopulations, and discuss current advances from recent clinical studies.

A review of biomarkers in the context of type 1 diabetes: Biological sensing for enhanced glucose control.

As wearable healthcare monitoring systems advance, there is immense potential for biological sensing to enhance the management of type 1 diabetes (T1D). The aim of this work is to describe the ongoing development of biomarker analytes in the context of T1D. Technological advances in transdermal biosensing offer remarkable opportunities to move from research laboratories to clinical point-of-care applications. In this review, a range of analytes, including glucose, insulin, glucagon, cortisol, lactate, epinephrine, and alcohol, as well as ketones such as beta-hydroxybutyrate, will be evaluated to determine the current status and research direction of those analytes specifically relevant to T1D management, using both in-vitro and on-body detection. Understanding state-of-the-art developments in biosensing technologies will aid in bridging the gap from bench-to-clinic T1D analyte measurement advancement.

Hypoglycemia Prevention via Personalized Glucose-Insulin Models Identified in Free-Living Conditions.

BACKGROUND: The objective of this research is to show the effectiveness of individualized hypoglycemia predictive alerts (IHPAs) based on patient-tailored glucose-insulin models (PTMs) for different subjects. Interpatient variability calls for PTMs that have been identified from data collected in free-living conditions during a one-month trial. METHODS: A new impulse-response (IR) identification technique has been applied to free-living data in order to identify PTMs that are able to predict the future glucose trends and prevent hypoglycemia events. Impulse response has been applied to seven patients with type 1 diabetes (T1D) of the University of Amsterdam Medical Centre. Individualized hypoglycemia predictive alert has been designed for each patient thanks to the good prediction capabilities of PTMs. RESULTS: The PTMs performance is evaluated in terms of index of fitting (FIT), coefficient of determination, and Pearson's correlation coefficient with a population FIT of 63.74%. The IHPAs are evaluated on seven patients with T1D with the aim of predicting in advance (between 45 and 10 minutes) the unavoidable hypoglycemia events; these systems show better performance in terms of sensitivity, precision, and accuracy with respect to previously published results. CONCLUSION: The proposed work shows the successful results obtained applying the IR to an entire set of patients, participants of a one-month trial. Individualized hypoglycemia predictive alerts are evaluated in terms of hypoglycemia prevention: the use of a PTM allows to detect 84.67% of the hypoglycemia events occurred during a one-month trial on average with less than 0.4% of false alarms. The promising prediction capabilities of PTMs can be a key ingredient for new generations of individualized model predictive control for artificial pancreas.

Cost-Effectiveness of Secukinumab Versus Other Biologics in the Treatment of Psoriatic Arthritis: An Argentinean Perspective.

OBJECTIVE: Psoriatic arthritis (PsA) is a chronic, systemic inflammatory disease. This study assessed the cost-effectiveness of secukinumab, an interleukin-17A inhibitor, versus other biologics in PsA from the Argentinean social security perspective. METHODS: A semi-Markov model evaluated subcutaneous (sc) treatment with secukinumab 150 mg and 300 mg against other sc treatments such as adalimumab, certolizumab pegol, etanercept, golimumab, ustekinumab, and intravenous treatment infliximab in biologic-naïve (with or without moderate to severe psoriasis) and biologic-experienced PsA patients over a lifetime horizon. Response to treatments was determined using the PsA Response Criteria (PsARC) at 12 weeks. Model inputs were derived from randomized controlled trials, network meta-analyses, published literature, and other Argentinean sources. Model outcomes included quality-adjusted life years (QALYs) gained and incremental cost-effectiveness ratios. Sensitivity analyses and alternative scenarios with a higher cost option were also conducted. RESULTS: Among biologic-naïve PsA patients without psoriasis, secukinumab 150 mg provided the highest QALYs (7.18) versus all sc biologics at the lowest cost ($3 755 678 Argentine peso), thus dominating them. Among biologic-naïve PsA patients with psoriasis and biologic-experienced PsA patients, secukinumab 300 mg provided highest QALYs (6.99 and 7.53, respectively), dominated infliximab, and was cost-effective versus other sc biologics. Deterministic sensitivity analyses indicated sensitivity of results to variation in PsARC rates, drug acquisition costs, Health Assessment Questionnaire change, and utilities. A probabilistic sensitivity analysis showed maximum net monetary benefits with both secukinumab doses. Results from an alternative scenario analysis were similar to base-case analysis. CONCLUSIONS: For both biologic-naïve and experienced PsA patients, secukinumab is either a dominant or cost-effective treatment option compared with other biologics in Argentina.

Differential expression of two activating transcription factor 5 isoforms in papillary thyroid carcinoma.

BACKGROUND: Activating transcription factor 5 (ATF5) is a member of the activating transcription/cAMP response element-binding protein family of basic leucine zipper proteins that plays an important role in cell survival, differentiation, proliferation, and apoptosis. The ATF5 gene generates two transcripts: ATF5 isoform 1 and ATF5 isoform 2. A number of studies indicate that ATF5 could be an attractive target for therapeutic intervention in several tumor types; however, so far, the role of ATF5 has not been investigated in papillary thyroid carcinoma (PTC). METHODS: Quantitative real-time reverse transcription polymerase chain reaction and immuno-histochemical staining were used to study ATF5 mRNA and protein expression in PTC. RESULTS: We report here that ATF5 is expressed more in PTC tissue than in normal thyroid tissue. Furthermore, this is the first study that describes the presence of both ATF5 isoforms in PTC. CONCLUSION: These findings could provide potential applications in PTC cancer treatment.

Estimation of the cost-effectiveness of apixaban versus vitamin K antagonists in the management of atrial fibrillation in Argentina.

Apixaban, a novel oral anticoagulant which has been approved for the prevention of stroke and systemic embolism in non-valvular atrial fibrillation, reduces both ischemic and haemorrhagic stroke and produces fewer bleedings than vitamin K antagonist warfarin. These clinical results lead to a decrease in health care resource utilization and, therefore, have a positive impact on health economics of atrial fibrillation. The cost-effectiveness of apixaban has been assessed in a variety of clinical settings and countries. However, data from emergent markets, as is the case of Argentina, are still scarce.We performed a cost-effectiveness analysis of apixaban versus warfarin in non-valvular atrial fibrillation (NVAF) in patients suitable for oral anticoagulation in Argentina. A Markov-based model including both costs and effects were used to simulate a cohort of patients with NVAF. Local epidemiological, resource utilization and cost data were used and all inputs were validated by a Delphi Panel of local experts. We adopted the payer's perspective with costs expressed in 2012 US Dollars.The study revealed that apixaban is cost-effective compared with warfarin using a willingness to pay threshold ranging from 1 to 3 per capita Gross Domestic Product (11558 - 34664 USD) with an incremental cost-effectiveness ratio of 786.08 USD per QALY gained. The benefit is primarily a result of the reduction in stroke and bleeding events.The study demonstrates that apixaban is a cost-effective alternative to warfarin in Argentina.

Inhibition of histone deacetylase 4 increases cytotoxicity of docetaxel in gastric cancer cells.

PURPOSE: New treatment options for gastric cancer are in great demand. Histone deacetylases (HDACs) are exciting therapeutic targets, but only the class I HDACs 1, 2, and 3 have been studied in gastric cancer. We have investigated class IIa HDAC expression and inhibition in gastric cancer cells. EXPERIMENTAL DESIGN: We measured the level of 27 (phospho)proteins related to class IIa HDAC expression and function in ten laser-capture microdissection gastric tumor samples compared to patient-matched adjacent normal mucosa. Following, we evaluated class IIa HDAC inhibition by MC1568 in SNU-16 gastric cancer cells alone and in combination with cisplatin or docetaxel. RESULTS: We demonstrate for the first time an increase of HDAC4 in gastric tumor cells. HDAC4 inhibition had a synergistic effect with docetaxel treatment, shifting the cellular response from a cytostatic to a cytotoxic phenotype. This effect was associated with increased levels of cleaved caspases 3 and 9 and increased acetylated histone H3 Lys9/Lys14. CONCLUSIONS AND CLINICAL RELEVANCE: These data support in vivo studies investigating the potential clinical use of HDAC4 inhibitors in combination with docetaxel for the treatment of gastric cancer, lowering treatment doses of docetaxel to reduce the burden of adverse side effects on patients.

Assessment of MAGE-A expression in resected non-small cell lung cancer in relation to clinicopathologic features and mutational status of EGFR and KRAS.

Non-small cell lung cancer (NSCLC) is a major public health problem, accounting for more cancer-related deaths than any other cancer. Both immunotherapy, based on the expression of tumor-specific antigens, and targeted therapy, based on the presence of oncogenic mutations, are under development for NSCLC. In this study, we analyzed the expression of MAGE-A, a cancer-testis antigen, in tumors from a cohort of patients with resected NSCLC with respect to their clinicopathologic characteristics and their mutational status for the EGFR and KRAS genes. We found MAGE-A expression by IHC in 43% of the tumors. MAGE-A expression was significantly more frequent in squamous tumors than in adenocarcinomas, did not correlate with disease stage, but was correlated significantly with high tumor grade and worse survival. EGFR and KRAS mutations were present in adenocarcinomas, but not in squamous tumors. Whereas the presence of EGFR mutations did not seem to affect survival, the presence of KRAS mutations was associated with early-stage disease and better survival. MAGE-A expression was absent from adenocarcinomas with KRAS mutations, but not significantly different in tumors with or without EGFR mutations. Together, the reported results provide guidance for the design of combination therapies in patients with NSCLC.

CD200 expression in patients with Multiple Myeloma: another piece of the puzzle.

CD200 is a relatively ubiquitously expressed molecule that plays a role in cancer immune evasion through interaction with its receptors. High expression levels of CD200 have been described in different human malignancies. For example, CD200 has been shown to be targeted after RAS/RAF/MEK/ERK activation in melanoma. Here we present the analysis of CD200 expression in human Multiple Myeloma (MM) samples. We found that CD200-positive cells express ERK and p-ERK. Moreover, UO126, a MEK inhibitor, reduces CD200 expression. Furthermore, we observe that CD200-positive cells show reduced immunogenicity compared to normal lymphocytes and that such immunogenicity increases when UO126 is used. We therefore hypothesize that CD200 expression in MM could suppress antitumor response and that anti-CD200 treatment might be therapeutically beneficial in CD200-expressing tumors.