Citations

AbstractSymptomatic hyperviscosity is a well‐established phenomenon in Waldenström macroglobulinemia (WM). Monoclonal IgM can variably impact intrinsic serum viscosity, leading to widely disparate symptomatic thresholds for development of hyperviscosity‐related symptoms. Data regarding the predictors of symptomatic hyperviscosity and outcomes related to this complication remain scarce and a recent study proposed that IgM >6000 mg/dL be considered a new criterion for initiating therapy in otherwise asymptomatic (smoldering) WM to pre‐empt hyperviscosity‐related injury. Herein, we attempt to identify predictors of the development of symptomatic hyperviscosity and its impact in patients with WM. Of 997 WM patients evaluated from January, 1996 through June, 2017, symptomatic hyperviscosity was observed in 130 (13%) patients. Overall survival (OS) of these 130 patients was similar to that of patients without symptomatic hyperviscosity (median: 11.5 vs 11.6 years; P = 0.63). On multivariate‐analysis, only viscosity >1.8 cp (risk ratio: 4.0, P = 0.02) assessed at the time of WM diagnosis was an independent predictor for the development of subsequent symptomatic hyperviscosity. Among patients with smoldering WM and IgM >6000 mg/dL at diagnosis (n = 13) who were managed expectantly, the median time‐to‐initial therapy was 6.9 years and only 15% developed hyperviscosity‐related symptoms subsequently. In summary, the occurrence of symptomatic hyperviscosity does not impact OS. Serum viscosity at diagnosis of WM, and not IgM concentration, represents the single most important independent predictor for development of subsequent hyperviscosity‐related symptoms. Patients with smoldering WM and high serum IgM can be safely observed in the absence of any indications per the Consensus recommendations to initiate WM‐directed therapy.

Abstract Despite recent advances in cancer therapy, options for central nervous system metastasis (CM) remain limited and patient outcomes are dismal. The lack of tumor models that reflect the heterogeneity and complexity of human CM tumors is a barrier to understanding the underlying biology and to developing novel therapies. Here, we report the development and characterization of 39 patient derived xenograft (PDX) models of CM tumors with histological subtypes representing the disease spectrum. The PDX models successfully grew both in the flank and brains of mice, and retained their histology regardless of the site of implantation. Brain metastasis also formed in 5/12 models after intra-cardiac injection. Multi-omic analysis of the PDX tumor and the patient-matched CM tumor showed that PDXs largely retained the molecular profiles of the tumor from which they were derived, including the retention of aberrations in key driver genes and signaling pathways. PDXs differed primarily from the ungrafted patient tumors by a downregulation in immunity-related pathways, which was expected due to the use of an immuno-compromised host, arguing for the validity of using the flank as a site of implantation. Integrated analysis of mutations and gene expression changes in CM revealed an upregulation of neuronal signaling and DNA damage response, and downregulation of calcium signaling and inflammation. We also assessed the clonal evolution of the PDX from the original patient CM by tracing variant allele frequencies in copy number neutral regions. We found that the PDX tumors were heterogeneous and comprised of multiple tumor clones that were either unique or in common with the original tumor, and displayed evidence of clonal expansion. Two PDXs that underwent phylogeny assessment showed evidence of minor clone expansion. One such PDX was a tumor from a Her2+ breast cancer (CM13), which largely did not molecularly resemble its matched patient tumor but was confirmed to have some shared expressed variants. The PDX was nearly copy number neutral, which included loss of the Her2 amplicon, and had few mutations compared with its parent tumor. Most noteworthy, is that CM13 displayed unique molecular patterns, aggressive growth and was highly metastatic in vivo. From the flank, it led to multiple metastases, including micrometastasis in the brain. This suggests that minor clone takeover may confer tumor aggressiveness and potentiate brain metastasis. The large and diverse repertoire of PDXs developed and characterized in this study provides a new set of tools that will help deepen our understanding of CM and improve preclinical testing for CM therapies. Our data also show that expansion of minor clones could confer aggressive tumor behavior and may be important in tumor evolution in PDX models and human cancers. Citation Format: Ben Yi Tew, Christophe Legendre, Tim Triche, Gerald C. Gooden, Kyle N. Johnson, Rae Anne Martinez, Emanuel F. Petricoin, Mariaelena Pierobon, Joyce O'Shaughnessy, Cindy Osborne, Mark A. Schroeder, Daniel J. Ma, Mark Bernstein, Jann N. Sarkaria, Steven A. Toms, Bodour Salhia. Development and characterization of patient derived xenografts from central nervous system metastasis reveal minor clone expansion linked with aggressive tumor behavior [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 991.

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.

PurposeThe purpose of this study was to estimate the radiation dose to the lung and breast as well as the effective dose from tube current modulated (TCM) lung cancer screening (LCS) scans across a range of patient sizes.MethodsMonte Carlo (MC) methods were used to calculate lung, breast, and effective doses from a low‐dose LCS protocol for a 64‐slice CT that used TCM. Scanning parameters were from the protocols published by AAPM's Alliance for Quality CT. To determine lung, breast, and effective doses from lung cancer screening, eight GSF/ICRP voxelized phantom models with all radiosensitive organs identified were used to estimate lung, breast, and effective doses. Additionally, to extend the limited size range provided by the GSF/ICRP phantom models, 30 voxelized patient models of thoracic anatomy were generated from LCS patient data. For these patient models, lung and breast were semi‐automatically segmented. TCM schemes for each of the GSF/ICRP phantom models were generated using a validated method wherein tissue attenuation and scanner limitations were used to determine the TCM output as a function of table position and source angle. TCM schemes for voxelized patient models were extracted from the raw projection data. The water equivalent diameter, Dw, was used as the patient size descriptor. Dw was estimated for the GSF/ICRP models. For the thoracic patient models, Dw was extracted from the DICOM header of the CT localizer radiograph. MC simulations were performed using the TCM scheme for each model. Absolute organ doses were tallied and effective doses were calculated using ICRP 103 tissue weighting factors for the GSF/ICRP models. Metrics of scanner radiation output were determined based on each model's TCM scheme, including CTDIvol, dose length product (DLP), and CTDIvol, Low Att, a previously described regional metric of scanner output covering most of the lungs and breast. All lung and breast doses values were normalized by scan‐specific CTDIvol and CTDIvol, Low Att. Effective doses were normalized by scan‐specific CTDIvol and DLP. Absolute and normalized doses were reported as a function of Dw.ResultsLung doses normalized by CTDIvol, Low Att were modeled as an exponential relationship with respect to Dw with coefficients of determination (R2) of 0.80. Breast dose normalized by CTDIvol, Low Att was modeled with an exponential relationship to Dw with an R2 of 0.23. For all eight GSF/ICRP phantom models, the effective dose using TCM protocols was below 1.6 mSv. Effective doses showed some size dependence but when normalized by DLP demonstrated a constant behavior.ConclusionLung, breast, and effective doses from LCS CT exams with TCM were estimated with respect to patient size. Normalized lung dose can be reasonably estimated with a measure of a patient size such as Dw and regional metric of CTDIvol covering the thorax such as CTDIvol, Low Att, while normalized breast dose can also be estimated with a regional metric of CTDIvol but with a larger degree of variability than observed for lung. Effective dose normalized by DLP can be estimated with a constant multiplier.