Leontovich, Alexey A.

Background: Basic pitcher statistics have been used to assess performance in pitchers after injury or surgery without being validated. Even among healthy pitchers, the normal variability of these parameters has not yet been established. Purpose: To determine (1) the normal variability of basic and advanced pitcher statistics in healthy professional baseball pitchers and (2) the minimum pitches needed to predict these parameters. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Publicly available data from the MLB Statcast and PITCHf/x databases were used to analyze MLB pitchers during the 2015 and 2016 seasons who recorded a minimum of 100 innings without injury. Basic and advanced baseball pitcher statistics were analyzed. The variability of each parameter was assessed by computing the coefficient of variation (CV) between individual pitchers and across all pitchers. A CV <10 was indicative of a relatively constant parameter, and parameters with a CV >10 were generally considered inconsistent and unreliable. The minimum number of pitches needed to be followed for each variable was also analyzed. Results: A total of 118 pitchers, 55 baseball-specific statistical metrics (38 basic and 17 advanced), and 7.5 million pitches were included and analyzed. Of the 38 basic pitcher statistics, only fastball velocity demonstrated a CV <10 (CV = 1.5), while 6 of 17 (35%) advanced metrics demonstrated acceptable consistency (CV <10). Release position from plate and velocity from the plate were the 2 most consistent advanced parameters. When separated by pitch type, these 2 parameters were the most constant (lowest CV) across every pitch type. Conclusion: We recommend against utilizing nonvalidated statistical measures to assess performance after injury, as they demonstrated unacceptably high variability even among healthy, noninjured professional baseball pitchers. It is our hope that this study will serve as the foundation for the identification and implementation of validated pitcher-dependent statistical measures that can be used to assess return-to-play performance after injury in the future.

As a member of the phylum Cnidaria, the body wall of hydra is organized as an epithelium bilayer (ectoderm and endoderm) with an intervening extracellular matrix (ECM). Previous studies have established the general molecular structure of hydra ECM and indicate that it is organized as two subepithelial zones that contain basement membrane components such as laminin and a central fibrous zone that contains interstitial matrix components such as a unique type I fibrillar collagen. Because of its simple structure and high regenerative capacity, hydra has been used as a developmental model to study cell-ECM interaction during epithelial morphogenesis. The current study extends previous studies by focusing on the relationship of ECM biogenesis to epithelial morphogenesis in hydra, as monitored during head regeneration or after simple incision of the epithelium. Histological studies indicated that decapitation or incision of the body column resulted in an immediate retraction of the ECM at the wound site followed by a re-fusion of the bilayer within 1 hour. After changes in the morphology of epithelial cells at the regenerating pole, initiation of de novo biogenesis of an ECM began within hours while full reformation of the mature matrix required approximately 2 days. These processes were monitored using probes to three matrix or matrix-associated components: basement membrane-associated hydra laminin β1 chain (HLM-β1), interstitial matrix-associated hydra fibrillar collagen (Hcol-I) and hydra matrix metalloproteinase (HMMP). While upregulation of mRNA for both HLM-β1 and Hcol-I occurred by 3 hours, expression of the former was restricted to the endoderm and expression of the latter was restricted to the ectoderm. Upregulation of HMMP mRNA was also associated with the endoderm and its expression paralleled that for HLM-β1. As monitored by immunofluorescence, HLM-β1 protein first appeared in each of the two subepithelial zones (basal lamina) at about 7 hours, while Hcol-I protein was first observed in the central fibrous zone (interstitial matrix) between 15 and 24 hours. The same temporal and spatial expression pattern for these matrix and matrix-associated components was observed during incision of the body column, thus indicating that these processes are a common feature of the epithelium in hydra. The correlation of loss of the ECM, cell shape changes and subsequent de novo biogenesis of matrix and matrix-associated components were all functionally coupled by antisense experiments in which translation of HLM-β1 and HMMP was blocked and head regeneration was reversibly inhibited. In addition, inhibition of translation of HLM-β1 caused an inhibition in the appearance of Hcol-I into the ECM, thus suggesting that binding of HLM-β1 to the basal plasma membrane of ectodermal cells signaled the subsequent discharge of Hcol-I from this cell layer into the newly forming matrix. Given the early divergence of hydra, these studies point to the fundamental importance of cell-ECM interactions during epithelial morphogenesis.

Abstract Purpose: Intratumorally injected Clostridium novyi-NT (nontoxic; lacking the alpha toxin), an attenuated strain of C. novyi, replicates within hypoxic tumor regions resulting in tumor-confined cell lysis and inflammatory response in animals, which warrants clinical investigation. Patients and Methods: This first-in-human study (NCT01924689) enrolled patients with injectable, treatment-refractory solid tumors to receive a single intratumoral injection of C. novyi-NT across 6 dose cohorts (1 × 104 to 3 × 106 spores, 3+3 dose-escalation design) to determine dose-limiting toxicities (DLT), and the maximum tolerated dose. Results: Among 24 patients, a single intratumoral injection of C. novyi-NT led to bacterial spores germination and the resultant lysis of injected tumor masses in 10 patients (42%) across all doses. The cohort 5 dose (1 × 106 spores) was defined as the maximum tolerated dose; DLTs were grade 4 sepsis (n = 2) and grade 4 gas gangrene (n = 1), all occurring in three patients with injected tumors &gt;8 cm. Other treatment-related grade ≥3 toxicities included pathologic fracture (n = 1), limb abscess (n = 1), soft-tissue infection (n = 1), respiratory insufficiency (n = 1), and rash (n = 1), which occurred across four patients. Of 22 evaluable patients, nine (41%) had a decrease in size of the injected tumor and 19 (86%) had stable disease as the best overall response in injected and noninjected lesions combined. C. novyi-NT injection elicited a transient systemic cytokine response and enhanced systemic tumor-specific T-cell responses. Conclusions: Single intratumoral injection of C. novyi-NT is feasible. Toxicities can be significant but manageable. Signals of antitumor activity and the host immune response support additional studies of C. novyi-NT in humans.

e15184 Background: Clinical responses to anti-PD1 immunotherapy in patients with metastatic melanoma (MM) remain challenging to predict. This clinical heterogeneity is also reflected in the tumor-immune microenvironment among patients and within a single tumor lesion. With the emergence of multiplex imaging platforms, defining complex phenotypes at single cell resolution has become possible. Here, we sought to objectively quantify paracrine tumor-immune interactions contributing to the variable clinical responses observed in patients receiving anti-PD1 therapy. Methods: Excisional lymph node (LN) biopsies were obtained from treatment-naïve patients with MM who underwent subsequent anti-PD1 therapy. A single 5µm section of LN tissue was used to assess a 42 analyte panel by multiplex immunofluorescence. From 30 LN samples, 418 fields of view (FOVs) were selected resulting in 14,360 high-resolution images of 4 anatomical subregions: tumor core, tumor-immune interface, tumor infiltrate and adjacent immune stroma. Following image processing, we developed an adaptive classification for tumor-centric cellular neighborhoods (TCCN) to identify and quantify critical paracrine interactions within the tumor-immune microenvironment. Results: Stratification based on responsiveness to anti-PD1 therapy resulted in 4 complete responders (CR) and 12 non-responders (NR) at 12-week follow-up. From 126 FOVs, we defined the cellular composition of 197,865 TCCN across patients based on clinical response and LN subregions. Overall, the percentage of TCCN devoid of any T cells, B cells or macrophages was significantly higher in NR compared to CR irrespective of subregion. However, other markers differentiated TCCN based on subregion. Specifically in CR, tumor core regions were enriched for CD8 T cells, while enrichment for B cells and endothelial cells was demonstrated at the tumor-immune interface. Strikingly, tumor infiltrate regions demonstrate robust immune reactivity with enrichment for M1 polarized macrophages, NK cells and B cells in CR compared to NR. Complete data from the 30 patient cohort across 418 FOVs will be presented. Conclusions: Taken together, this data suggests cellular composition of TCCN across subregions of the LN is dynamic within a single metastatic site. In this small cohort, we introduce a formalized stratification to quantify and classify critical paracrine interactions within the immune-tumor microenvironment with the potential to inform clinical responsiveness to therapy.

Abstract Prior studies have demonstrated that MM cells with PTEN mutation and high AKT activity are more sensitive to inhibitors of the PI3K/Akt/mTOR pathway. However, the molecular mechanisms that regulate the differential response to these agents are not well characterized. The objective of this study was to determine proteins that are different between MM cell lines with higher AKT activity (OPM2) and lower AKT activity (MM.1S) in response to the AKT inhibitor, perifosine. Methods: MM cell lines (MM.1S and OPM2) were treated with serial concentration of perifosine (KRX-0401, Keryx, NY, NY, provided by the NCI). Proteomic analysis using the nanoscale BD Clontech antibody-based protein microarray technique was performed using cells treated with perifosine (10uM for 16 hrs) or vehicle (sterile water) as control. Apoptosis was determined using Annexin V/PI FACS analysis at 24 and 48 hrs. The treatment time and concentration were chosen so that it did not induce more than 25% apoptosis to ensure adequate analysis of changes in signaling pathways. The antibody microarray is a technique that detects differences in protein abundance between the treated and control sample with each experiment by hybridizing fluorescently labeled (Cy3 and Cy5) protein mixtures onto slides spotted with 512 human monoclonal antibodies. Two microarray slides were used for each experiment. The slides were scanned using the Axon GenePix 4000B scanner. Two ratios were generated from the spot images for each protein target. The mean of the ratios of Cy5/Cy3 of both slides were analyzed using Clontech software and used to calculate an Internally Normalized Ratio (INR = (Ratio1/Ratio2, ratios 1 and 2 correspond to slides 1 and 2) for each spot on the array. The INR values were input into GeneSpring 6.0 software (Silicon Genetics, CA). The data was normalized to the mean INR of the two cell lines. Proteins whose expression level changed relative to control greater than 1.3 fold were determined. Unsupervised clustering demonstrated a different protein signature between MM.1S and OPM2 in response to perifosine. There were 144 proteins differentially expressed by 1.3 fold between MM.1S and OPM2. Proteins that were downregulated in OPM2 as compared to MM.1S included those in the PI3K pathway and cell cycle regulation such as PTEN, p70S6Kinase, the AKT substrate GSK-3, eEF-2 kinase, eIF-4g, Ku-80, cyclin A, E2F-2, CDK2, CDK7, and c-myc; proteins involved in apoptosis such as p21WAF, caspase 4 and 8, FADD, and PARP; kinases such as PKAc, PKA RI, ERK2, and JNK1; and other proteins regulating apoptosis and proliferation including p53, the NF-kB inhibitor IkB, and the heat shock protein HSP70. The nanoscale protein array is a useful and rapid technique that may be used to identify differences between resistant and sensitive cells to novel therapeutic agents. We identified proteins that are differentially expressed between MM cells sensitive and relatively resistant to the AKT inhibitor perifosine. Further analysis of the role of these proteins in the mechanism of resistance/sensitivity to perifosine is being performed. Future use of inhibitors of NF-kB (bortezomib) or heat shock protein inhibitors in conjunction with perifosine may overcome resistance induced by these proteins in MM cells with low AKT activity. Supported in part by an ASH scholar award and an MMRF grant.

Abstract The objective of this study was to determine the molecular alterations that occur at the protein level in patients with PTLD in order to identify novel targets of therapy, determine new markers of prognosis, and begin to delineate the pathogenesis of PTLD. Six tumor samples were obtained after informed consent from adult patients with PTLD post solid organ transplant. Four benign lymph nodes were obtained from age-matched controls. Three of the samples and their two controls were obtained from frozen tissue and the other three with two matching controls were obtained form paraffin embedded tissue. Immunohistochemistry using anti-CD19+ antibodies was performed and laser microdissection or slide scraping was used to obtain the tissue. Deparaffinization was performed using xylene and ethanol serial dilutions. Protein quantification was performed and 1ug of protein was obtained for each sample and its control. The nanoscale protein micorarray technique (BD Clontech, CA) was used to measure changes in the patterns of protein expression between PTLD samples and control lymphocytes. This is a new technique that detects differences in protein abundance between the disease and control samples by hybridizing fluorescently labeled (Cy3 and Cy5) protein mixtures onto slides spotted with 512 human monoclonal antibodies. It requires minute amounts of proteins. Two microarray slides were used for each experiment and a control experiment of control versus control was performed for normalization of the data. The slides were scanned using the Axon GenePix 4000B scanner. Two ratios were generated from the spot images for each protein target. The mean of the ratios of Cy5/Cy3 of both slides were analyzed using Clontech software and used to calculate an Internally Normalized Ratio (INR = Ratio1/Ratio2) for each spot on the array. The INR values were input into GeneSpring 6.0 software (Silicon Genetics, Redwood City CA). The data were normalized to the mean INR of the control samples. Proteins whose expression fold change relative to control was greater than 1.3 fold were determined. All cases represented monomorphic PTLD. Five were confirmed EBV positive (EBNA positive). The tissues were obtained from multiple organs including liver, gastric, cerebral, renal and lymph nodes. There were 22 proteins upregulated in the frozen sections as compared to the control and 157 proteins upregulated by 1.3 fold in the paraffin embedded sections as compared to control. Most of these proteins were common between the paraffin embedded and frozen sections. Proteins that were dysregulated included: proteins in the PI3K pathway and cell cycle regulation such as p70S6K, VHR, the AKT substrate GSK-3, cyclin C, MCM6, eIF-4E, CDK1, CDK7, eE-F-2 kinase; kinases such as JNKK1, PKC-lambda, RhoA kinase ROKalpha, ERK1, PKAc, PKArIIa and PKCbeta; apoptosis related proteins such as caspase 8, NF-kB, and MDM2; TGF signaling protein p300, and the heat shock protein HSP90. These results provide insight into pathways that are dysregulated in PTLD and can be targeted in future clinical trials with specific inhibitors such as PI3K, PKC, NF-kB or HSP90 inhibitors.

Abstract The objective of this study was to determine the molecular alterations that occur at the protein level in patients with WM in order to identify novel targets of therapy, determine new markers of prognosis, and begin to delineate the pathogenesis of WM. Five bone marrow samples were obtained after informed consent from patients with symptomatic WM. Two bone marrow samples were obtained from age-matched controls and were pooled. All samples were purified with anti-CD19+ beads with over 90% purity. Protein quantification was performed and 1ug of protein was obtained for each sample and control. The nanoscale protein micorarray technique (BD Clontech, CA) was used to measure changes in the patterns of protein expression between WM samples and control lymphocytes. This is a new technique that detects differences in protein abundance between the tumor and control samples by hybridizing fluorescently labeled (Cy3 and Cy5) protein mixtures onto slides spotted with 512 monoclonal antibodies against human polypeptides. It requires minimal amount of protein. Two microarray slides were used for each experiment and a control experiment of control versus control was performed for normalization of the data. The slides were scanned using the Axon GenePix 4000B scanner. Two ratios were generated from the spot images for each protein target. The mean of the ratios of Cy5/Cy3 of both slides were analyzed using Clontech software and used to calculate an Internally Normalized Ratio (INR = ÷Ratio1/Ratio2, ratios 1 and 2 correspond to slides 1 and 2) for each spot on the array. The INR values were input into GeneSpring 6.0 software (Silicon Genetics, Redwood City CA). The data was normalized to the mean INR of the control samples. Proteins whose expression fold change relative to control was greater than 1.3 fold were determined. All samples were of symptomatic WM. There were 3 females and 2 males. The median age was 61 years (range, 47–83). Four patients were newly diagnosed and one had received prior rituximab, CHOP ad thalidomide therapy. Clustering analysis did not demonstrate a difference between newly diagnosed and treated samples. There were 72 proteins up or downregulated by 1.3 fold in all WM samples as compared to control. These included proteins in the PI3K pathway such as VHR, PTP1B, PI3K (p110alpha) and Rb2. Protein kinases such as PKCi, PKCbeta, PKC gamma, PKC delta, PLCgamma were all upregulated in WM samples. Other proteins included the B-cell specific activator protein PAX-5, the ubiquitin protein UBCH6, the STAT kinase STAT4, the GTPase Rho A-binding kinase ROK alpha, and the apoptosis protein SMAC/DIABLO. We demonstrate that several isoforms of the PKC family of proteins are upregulated in WM. PKC proteins regulate apoptosis, proliferation and migration in many cancer cells. These proteins may be useful targets of therapy in future clinical trials in WM. Other inhibitors that may be useful in WM include ubiqutin/proteosome inhibitors such as bortezomib and PI3K pathway inhibitors such AKT or mTOR inhibitors. Our results also confirm the presence of PAX-5 in WM consistent with previous cytogenetic studies. Supported in part by an ASH scholar award and Research Fund for Waldenstrom.

Abstract The objective of this study was to analyze protein changes that occur a the molecular level with novel therapeutic agents used in MM in order to identify potential combinations for clinical trials. We employed antibody protein microarrays (BD Clonetech, CA) to measure changes in the patterns of protein expression in Kas 6/1 MM cell line after treatment with bortezomib, dexamethasone, CC-5013, and 17-AAG. The antibody array is a new technique that assays protein differences directly by hybridizing fluorescently labeled protein mixtures from cell extracts onto glass slides spotted with 512 different monoclonal antibodies specific for human proteins. Induction of apoptosis was assessed by Annexin/Propidium iodide FACS analysis at 24 and 48 hours using different concentrations of the inhibitors. Protein arrays were performed at concentrations and treatment times that did not induce more than 25% apoptosis to ensure adequate analysis of early changes in signaling pathways. Bortezomib 5nM at 10 hours, dexamethasone 100mM, CC-5013 250nM, and 17-AAG 1mM at 24 hours were used. Control cells were treated with vehicles ETOH or DMSO at the same concentrations as the inhibitors. To assess differential protein expression, the mean of the Cy5/Cy3 ratios for each sample and its control were analyzed using the Clontech software and an internally normalized ratio (INR) was calculated. INR values &gt;1.3 or &lt;0.77 were considered as valid changes in protein abundance for this study. All inhibitors induced the upregulation of apoptosis proteins including BAK, BIK, SMAC/DIABLO, and caspase 14. Several proteins were inhibited by all 4 inhibitors indicating common pathways affected by these agents. These included members of the PI3K pathway (PI3K-p85a, p70S6kinase, and cyclin dependent kinases), MAPKinases (ERK1 and 2), antiapoptotic protein Bclx, heat shock proteins Hsp70 and HSP60, and ubiqutin/NFkB pathway (Ubch6, IKKalpha, and IKBe). These results indicate that inhibitors of the PI3K pathway such as mTOR inhibitors, IKK inhibitors or MAPkinase inhibitors may be used in the future in combination with bortezomib, dexamethasone, CC-5013 or 17-AAG. Fatty acid synthetase was downregulated by bortezomib and dexamethasone indicating potential use of fatty acid synthase inhibitors in combination with bortezomib or dexamethasone in future clinical trials. These results suggest that antibody protein arrays may be used in the rational design of combinations of targeted therapies in MM.

Abstract PURPOSE: Recent advances in understanding of the molecular alterations that occur at the genetic and epigenetic levels in Multiple Myeloma (MM) have led to major leaps in identifying molecular pathways that regulate progression and resistance to therapeutic agents. However, despite great scientific advances at the genomic level, studies to identify signaling pathways deregulated at the functional proteomic level in MM are limited. In this study, we used a rapid and reproducible antibody-based protein microarray technique to screen the functional differences between malignant plasma cells in samples obtained from patients with MM compared to normal plasma cells (NPC) from the bone marrow of healthy volunteers. METHODS: We determined the protein expression level of 512 polypeptides in 12 samples of newly diagnosed patients with MM using high-throughput proteomic analysis with antibody-based protein microarray. Primary CD138+ sorted MM cells were obtained from the bone marrow of patients after informed consent. MM1.S was used in this study. Using immunohistochemistry and immunoblotting were confirmed. Lentivirus was used to knockdown CRIK. Gene expression datasets from the Mayo Clinic (accession number GSE 6477) and the UAMS (accession number GSE 2658) were obtained from the Gene Expression Omnibus for analysis. The Mayo dataset was generated using Affymetrix U133A platform whereas the UAMS dataset was generated using Affymetrix U133plus 2.0 platform. RESULTS: We identified four subgroups of MM using unsupervised clustering analysis. We confirmed overexpression of some of these proteins including CRIK and CDK4 using immunohistochemistry and immunoblotting. Many of these proteins are known to be deregulated in MM, indicating that this technique can accurately identify proteins that are over or under-expressed in MM in a high-throughput fashion. In addition, we identified novel proteins that are not previously known to be differentially expressed in MM, including the small GTPase member of the Rho family, CRIK protein. We then showed using knockdown of CRIK that this novel protein specifically regulates migration and adhesion in MM. There was no effect on survival of MM cells using the CRIK knockdown. Analyzing the GEP data of the 15 NPC, 46 monoclonal gammopathy of undetermined significance (MGUS) or smoldering myeloma (SMM) and 101 MM samples from the Mayo Clinic, there was a significant increase in expression of CIT from NPC to MM. Among the 351 patients entered into TTII trials from UAMS, CIT expression was similar across the different TC class. Using a cut-off normalized expression level of 1.25 (a level above expression in NPC), MM with a high CIT expression (n=81) had a significantly shorter survival than the other patients. CONCLUSION: In this study, we show that MM cells express a high level of CRIK, and that inhibition of this protein leads to significant inhibition of adhesion and migration of MM cells. In addition, CRIK protein expression correlated with CIT gene expression, with high expression in MM samples compared to NPC. In addition, high CIT expression correlated with poor survival in patients with MM.

Abstract The objective of this study was to investigate the underlying molecular alteration in multiple myeloma at the protein level in order to identify regulators of pathogenesis, discover novel targets of therapy, and compare genetic and proteomic alterations. We employed antibody protein microarrays (BD Clonetech, CA) to measure changes in the patterns of protein expression between MM and normal plasma cells. The antibody array is a new technique enabling protein differences to be assayed directly by hybridizing fluorescently labeled protein mixtures from cell extracts onto glass slides spotted with 512 different monoclonal antibodies. CD138+purified plasma cells were obtained from cryopreserved bone marrow samples of 12 newly diagnosed patients with MM. The labeling index was high (1% cutoff) in 7 samples and low in the other 5. Control plasma cells were obtained from 9 pooled CD138+ purified normal donor bone marrow plasma cells. Interphase FISH analysis for 17p deletion, 13q deletion, and t(11:14) were performed. To assess differential expression, the mean of the ratios of Cy5/Cy3 for each sample were analyzed using the Clontech software to calculate an internally normalized ratio. The normalized data were analyzed by the Genespring software. Unsupervised clustering identified 4 groups of MM. Changes of protein expression ≥2 fold in 70% of the samples as compared to control were identified. There were 6 proteins differentially expressed between all MM samples and control cells including proteins in the ras signaling pathway (KSR-1), the ubiquitin pathway (Ubc-H6), cyclin-dependent kinases (CDK4), cytokines (IL-6), DNA toposisomerase II, and the rho-interacting serine-threonine kinase CRIK. Proteins differentially expressed in MM groups 1 and 2 compared to normal control included cell cycle regulators (cul-2, MCM6, PCNA, TGFb1), kinases (p70S6K, PKC), and chromatin regulators (Ran, AKAP450, Rad50). Protiens differentially expressed in MM group 3 included cell cycle regulators (CDK2, CLK1, MENA), apoptosis regulators (XIAP, caspase 4, perforin) kinases (IKKa and RAC1 in the Wnt signaling pathway) and P53 regulators, while proteins identified in MM group 4 included NFkB/ubiquitin proteins (IKKa and Ubch6), cell cycle regulators (c-myc, CDK4), p53 pathway proteins (53bp2), ras-signaling proteins (KSR1), and the kinase CRIK. There were no differences in protein expression between the high and low labeling index groups. 13q was identified in 5 (42%), 17 p in 1(8%) and t(11:14) in 1(8%) patients. 80% of the 13 q deletion cases clustered in MM group 1 and 2 patients. Cyclin D-1 was upregulated in 5 (42%) patients including the patient with (11:14) translocation. This is the first proteomic study of patients with MM. The results are consistent with previously identified genetic alterations in MM indicating that this novel technique could be used in identifying molecular changes in MM. It identifies novel proteins dysregulated in MM that differ between the 4 MM groups. These results may be used in the future to individualize therapy based on the proteins dysregulated in each group. For example, IKK inhibitors may be useful in group 3 MM patients, while mTOR inhibitors (upstream of p70S6K) could be used in groups 1 and 2 patients. Future correlations with gene expression arrays and prognosis in a larger cohort of patients is warranted.