Citations

ObjectiveThe aim of this study was to determine whether the frequency of TAR DNA‐binding protein 43 (TDP‐43) deposition in Alzheimer's disease (AD) differs across pathologically defined AD subtypes (hippocampal sparing [HpSp]; typical and limbic) and further examine the relationship between TDP‐43, pathological subtype, and clinical features in AD.MethodsWe identified all cases with pathologically confirmed AD (NIA‐Reagan intermediate‐high probability, Braak stage IV–VI) independent of cognitive status (n = 188). Neurofibrillary tangle counts were performed using thioflavin‐S microscopy in hippocampus and three neocortical regions, and all cases were subtyped: HpSp AD pathology (n = 19); typical AD pathology (n = 136); and limbic AD pathology (n = 33). TDP‐43 immunoreactivity was performed in multiple brain regions to assess for the presence of TDP‐43 and TDP‐43 stage. All cases were clinically subclassified at presentation as amnestic AD dementia versus atypical AD dementia. Statistical analysis was performed using linear and penalized logistic regression to assess associations with pathological subtype, and the effects of TDP‐43, accounting for possible interactions between pathological subtype and TDP‐43.ResultsTDP‐43 deposition was frequent in typical (59%) and limbic AD pathologies (67%), but not HpSp AD pathology (21%; p = 0.003). The observed associations of TDP‐43 with greater memory loss, naming and functional decline, and smaller hippocampal volumes, closest to death, did not differ across AD pathological subtype. Clinical presentation was associated with pathological subtype (p = 0.01), but not TDP‐43 (p = 0.69).InterpretationAlthough the frequency of TDP‐43 deposition in AD varies by pathological subtype, the observed effects of TDP‐43 on clinical/magnetic resonance imaging features are consistent across pathological subtypes. Clinical presentation in AD is driven by pathological subtype, not by TDP‐43. Ann Neurol 2015;78:Ann Neurol 2015;78:679–696

Over the past decade, use of novel agents, including immunomodulatory drugs (IMiDs) and proteasome inhibitors (PIs) has resulted in high response rates and improvement in overall survival (OS) for patients with multiple myeloma (MM); however, the prognostic significance of refractoriness to these agents when used as initial therapy has not been extensively studied. We reviewed the outcomes of 816 consecutive patients treated for MM at our institution since 2006 to evaluate the survival difference between those achieving at least a partial response (PR) to induction therapy and those who were primary refractory. The median OS from start of therapy was significantly shorter for the primary refractory group at 3.6 vs. 7.6 years for the responding patients ( P < 0.001). The difference in median OS persisted when only patients receiving a novel agent as part of induction therapy were considered (3.6 vs. 7.9 years, P < 0.001) and in a 4‐month landmark analysis (4.2 vs. 7.6 years, P < 0.001). The median OS for patients achieving a complete response (CR), very good partial response (VGPR), PR, or less than PR was not reached (NR), 6.1, 6.4, and 4.2 years from the 4‐month landmark, respectively ( P < 0.001). The comparatively poor outcomes of patients refractory to induction therapy in the current era of novel agents suggests that this high‐risk subpopulation must be further studied for predictors of resistance and, when identified, should be targeted for clinical trials. Am. J. Hematol. 90:981–985, 2015. © 2015 Wiley Periodicals, Inc.

AbstractIntroductionWe describe Alzheimer's Disease Neuroimaging Initiative (ADNI) Biomarker Core progress including: the Biobank; cerebrospinal fluid (CSF) amyloid beta (Aβ1–42), t‐tau, and p‐tau181 analytical performance, definition of Alzheimer's disease (AD) profile for plaque, and tangle burden detection and increased risk for progression to AD; AD disease heterogeneity; progress in standardization; and new studies using ADNI biofluids.MethodsReview publications authored or coauthored by ADNI Biomarker core faculty and selected non‐ADNI studies to deepen the understanding and interpretation of CSF Aβ1–42, t‐tau, and p‐tau181 data.ResultsCSF AD biomarker measurements with the qualified AlzBio3 immunoassay detects neuropathologic AD hallmarks in preclinical and prodromal disease stages, based on CSF studies in non‐ADNI living subjects followed by the autopsy confirmation of AD. Collaboration across ADNI cores generated the temporal ordering model of AD biomarkers varying across individuals because of genetic/environmental factors that increase/decrease resilience to AD pathologies.DiscussionFurther studies will refine this model and enable the use of biomarkers studied in ADNI clinically and in disease‐modifying therapeutic trials.

AbstractIntroductionAlzheimer's Disease Neuroimaging Initiative (ADNI) is now in its 10th year. The primary objective of the magnetic resonance imaging (MRI) core of ADNI has been to improve methods for clinical trials in Alzheimer's disease (AD) and related disorders.MethodsWe review the contributions of the MRI core from present and past cycles of ADNI (ADNI‐1, ‐Grand Opportunity and ‐2). We also review plans for the future‐ADNI‐3.ResultsContributions of the MRI core include creating standardized acquisition protocols and quality control methods; examining the effect of technical features of image acquisition and analysis on outcome metrics; deriving sample size estimates for future trials based on those outcomes; and piloting the potential utility of MR perfusion, diffusion, and functional connectivity measures in multicenter clinical trials.DiscussionOver the past decade the MRI core of ADNI has fulfilled its mandate of improving methods for clinical trials in AD and will continue to do so in the future.

AbstractIntroductionThis article reviews the current status of the Clinical Core of the Alzheimer's Disease Neuroimaging Initiative (ADNI), and summarizes planning for the next stage of the project.MethodsClinical Core activities and plans were synthesized based on discussions among the Core leaders and external advisors.ResultsThe longitudinal data in ADNI‐2 provide natural history data on a clinical trials population and continue to inform refinement and standardization of assessments, models of trajectories, and clinical trial methods that have been extended into sporadic preclinical Alzheimer's disease (AD).DiscussionPlans for the next phase of the ADNI project include maintaining longitudinal follow‐up of the normal and mild cognitive impairment cohorts, augmenting specific clinical cohorts, and incorporating novel computerized cognitive assessments and patient‐reported outcomes. A major hypothesis is that AD represents a gradually progressive disease that can be identified precisely in its long presymptomatic phase, during which intervention with potentially disease‐modifying agents may be most useful.

Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) was established in 2004 to facilitate the development of effective treatments for Alzheimer's disease (AD) by validating biomarkers for AD clinical trials. Methods We searched for ADNI publications using established methods. Results ADNI has (1) developed standardized biomarkers for use in clinical trial subject selection and as surrogate outcome measures; (2) standardized protocols for use across multiple centers; (3) initiated worldwide ADNI; (4) inspired initiatives investigating traumatic brain injury and post‐traumatic stress disorder in military populations, and depression, respectively, as an AD risk factor; (5) acted as a data‐sharing model; (6) generated data used in over 600 publications, leading to the identification of novel AD risk alleles, and an understanding of the relationship between biomarkers and AD progression; and (7) inspired other public‐private partnerships developing biomarkers for Parkinson's disease and multiple sclerosis. Discussion ADNI has made myriad impacts in its first decade. A competitive renewal of the project in 2015 would see the use of newly developed tau imaging ligands, and the continued development of recruitment strategies and outcome measures for clinical trials.

Response to therapy in newly diagnosed symptomatic multiple myeloma (NDMM) can impact long‐term outcomes. It is not clear if baseline laboratory parameters can predict an early, deep response. Totally 1,304 patients with NDMM seen between 2001 and 2013 at Mayo Clinic Rochester were studied. The association between baseline laboratory parameters and early, deep response defined as a very good partial response or better (VGPR+) within four cycles of treatment was investigated. Multivariable logistic regression was used to assess the associations between the parameters of interest and response. Multivariable proportional hazards regression was used to assess the association between response and overall survival. In the entire cohort, greater absolute free light chain (FLC) differences (OR 2.38, 95% CI 1.48–3.82), younger age (OR 2.18, 95% CI 1.28–3.71), lower hemoglobin (OR 1.68, 95% CI 1.12–2.54), and IgA myeloma (OR 1.66, 95% CI 1.10–2.51) were associated with increased odds of achieving VGPR+ after four cycles. Among patients receiving novel agents in general and immunomodulators in particular, these effects were more pronounced. In patients receiving proteasome‐inhibitors, higher creatinine (OR 3.83, 95% CI 1.37–10.1), lower calcium (OR 3.37, 95% CI 1.36–8.35), and greater absolute FLC differences (OR 2.50, 95% CI 1.10–5.71) were associated with better response. In a landmark analysis at 4 months from diagnosis, achieving VGPR+ was associated with decreased risk of subsequent mortality (HR 0.69, 95% CI 0.53–0.86). In summary, several parameters were associated with an early, deep response to treatment, revealing distinct sets of predictors for immunomodulator‐ and proteasome‐inhibitor‐containing regimens. Achieving VGPR+ after four cycles translated into increased overall survival. Am. J. Hematol. 90:888–891, 2015. © 2015 Wiley Periodicals, Inc.

The World Health Organization classification of non‐Hodgkin lymphoma (NHL) was introduced in 2001. However, its incorporation into clinical practice is not well‐described. We studied the distribution of NHL subtypes in adults diagnosed from 1998 to 2011, evaluated time trends, geo‐demographic correlates, and changes in 5‐year overall survival (OS). We obtained data prospectively collected by the National Cancer Data Base, which covers 70% of US cancer cases. There were 596,476 patients diagnosed with NHL. The major subtypes were diffuse large B‐cell (32.5%), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; 18.6%), follicular (17.1%), marginal zone (8.3%), mantle cell (4.1%), peripheral T‐cell not‐otherwise‐specified (1.7%), Burkitt (1.6%), hairy cell (1.1%), lymphoplasmacytic (1.1%), and NHL not‐otherwise‐specified (10.8%). Over the study period, the proportion of NHL not‐otherwise‐specified declined by half, while marginal zone lymphoma doubled. The distribution of major and rare NHL subtypes varied according to demographics but less so geographically or by type of treatment facility. We noted several novel findings among Hispanics (lower proportion of CLL/SLL, but higher Burkitt lymphoma and nasal NK/T‐cell lymphoma), Asians (higher enteropathy‐associated T‐cell and angioimmunoblastic T‐cell lymphomas), Blacks (higher hepatosplenic T‐cell lymphoma), and Native Americans (similar proportions of CLL/SLL and nasal NK/T‐cell lymphoma as Asians). With the exception of peripheral T‐cell not‐otherwise‐specified and hairy cell leukemia, 5‐year OS has improved for all the major NHL subtypes. Am. J. Hematol. 90:790–795, 2015. © 2015 Wiley Periodicals, Inc.