Citations

Abstract Epidemiologic studies have shown that diabetics receiving the biguanide metformin, as compared with sulfonylureas or insulin, have a lower incidence of breast cancer. Metformin increases levels of activated AMPK (AMP-activated protein kinase) and decreases circulating IGF-1; encouraging its potential use in both cancer prevention and therapeutic settings. In anticipation of clinical trials in nondiabetic women, the efficacy of metformin in nondiabetic rat and mouse mammary cancer models was evaluated. Metformin was administered by gavage or in the diet, at a human equivalent dose, in standard mammary cancer models: (i) methylnitrosourea (MNU)-induced estrogen receptor–positive (ER+) mammary cancers in rats, and (ii) MMTV-Neu/p53KO ER− (estrogen receptor–negative) mammary cancers in mice. In the MNU rat model, metformin dosing (150 or 50 mg/kg BW/d, by gavage) was ineffective in decreasing mammary cancer multiplicity, latency, or weight. Pharmacokinetic studies of metformin (150 mg/kg BW/d, by gavage) yielded plasma levels (Cmax and AUC) higher than humans taking 1.5 g/d. In rats bearing small palpable mammary cancers, short-term metformin (150 mg/kg BW/d) treatment increased levels of phospho-AMPK and phospho-p53 (Ser20), but failed to reduce Ki67 labeling or expression of proliferation-related genes. In the mouse model, dietary metformin (1,500 mg/kg diet) did not alter final cancer incidence, multiplicity, or weight. Metformin did not prevent mammary carcinogenesis in two mammary cancer models, raising questions about metformin efficacy in breast cancer in nondiabetic populations. Cancer Prev Res; 8(3); 231–9. ©2015 AACR.

AL amyloidosis (AL) is rare and frequently remains undiagnosed until organ function is compromised, even among patients with known pre‐existing untreated plasma cell dyscrasias (PCD). We identified 168 patients with AL amyloidosis who had a prior untreated PCD. The earliest symptom or sign (s/s) was defined as the first symptom reported by the patient that could be attributed to organ dysfunction caused by AL. The interval from the time of development of s/s to the establishment of diagnosis of AL (Interval‐SA) was calculated. PCD diagnosis preceded recorded onset of s/s in 75% (114/152) of patients, with a median interval‐SA for this group of 10 months. PCD was diagnosed after s/s in 25% (38/152) of patients, with a median interval‐SA of 20 months. Overall survival (OS) from diagnosis of AL was not different between the two groups. AL amyloidosis patients with an identified pre‐existing PCD had less advanced cardiac disease at AL diagnosis when compared to a control group of AL patients without preidentified PCD. Long‐term OS was not significantly superior among patients with a pre‐identified PCD. In patients with “asymptomatic” PCD, symptoms and signs of AL amyloidosis should be solicited, since timely diagnosis is important in AL amyloidosis. Am. J. Hematol. 89:1051–1054, 2014. © 2014 Wiley Periodicals, Inc.

AbstractObjectiveThe pathologic validation of European Alzheimer's Disease Consortium Alzheimer’s Disease Neuroimaging Initiative Center Harmonized Hippocampal Segmentation Protocol (HarP).MethodsTemporal lobes of nine Alzheimer's disease (AD) and seven cognitively normal subjects were scanned post‐mortem at 7 Tesla. Hippocampal volumes were obtained with HarP. Six‐micrometer‐thick hippocampal slices were stained for amyloid beta (Aβ), tau, and cresyl violet. Hippocampal subfields were manually traced. Neuronal counts, Aβ, and tau burden for each hippocampal subfield were obtained.ResultsWe found significant correlations between hippocampal volume and Braak and Braak staging (ρ = −0.75, P = .001), tau (ρ = −0.53, P = .034), Aβ burden (ρ = −0.61, P = .012), and neuronal count (ρ = 0.77, P < .001). Exploratory subfield‐wise significant associations were found for Aβ in Cornu Ammonis (CA)1 (ρ = −0.58, P = .019) and subiculum (ρ = −0.75, P = .001), tau in CA2 (ρ = −0.59, P = .016), and CA3 (ρ = −0.5, P = .047), and neuronal count in CA1 (ρ = 0.55, P = .028), CA3 (ρ = 0.65, P = .006), and CA4 (ρ = 0.76, P = .001).ConclusionsThe observed associations provide pathological confirmation of hippocampal morphometry as a valid biomarker for AD and pathologic validation of HarP.

Introduction: The advent of digital slides offers new opportunities within the practice of pathology such as the use of image analysis techniques to facilitate computer aided diagnosis (CAD) solutions. Use of CAD holds promise to enable new levels of decision support and allow for additional layers of quality assurance and consistency in rendered diagnoses. However, the development and testing of prostate cancer CAD solutions requires a ground truth map of the cancer to enable the generation of receiver operator characteristic (ROC) curves. This requires a pathologist to annotate, or paint, each of the malignant glands in prostate cancer with an image editor software - a time consuming and exhaustive process.Recently, two CAD algorithms have been described: probabilistic pairwise Markov models (PPMM) and spatially-invariant vector quantization (SIVQ). Briefly, SIVQ operates as a highly sensitive and specific pattern matching algorithm, making it optimal for the identification of any epithelial morphology, whereas PPMM operates as a highly sensitive detector of malignant perturbations in glandular lumenal architecture.Methods: By recapitulating algorithmically how a pathologist reviews prostate tissue sections, we created an algorithmic cascade of PPMM and SIVQ algorithms as previously described by Doyle el al. [1] where PPMM identifies the glands with abnormal lumenal architecture, and this area is then screened by SIVQ to identify the epithelium.Results: The performance of this algorithm cascade was assessed qualitatively (with the use of heatmaps) and quantitatively (with the use of ROC curves) and demonstrates greater performance in the identification of malignant prostatic epithelium.Conclusion: This ability to semi-autonomously paint nearly all the malignant epithelium of prostate cancer has immediate applications to future prostate cancer CAD development as a validated ground truth generator. In addition, such an approach has potential applications as a pre-screening/quality assurance tool.

AbstractIntroductionAnalyzing hospital naloxone use may assist in identification of areas for quality and safety improvement. Our primary objective is to quantitate the incidence of hospital naloxone use and to assess certain patient populations at risk.MethodsDuring the years 2008 to 2011, each clinical scenario where naloxone was administered on an in‐patient care ward was reviewed. The events were assessed to separate situations where naloxone rescue was effective in reversing opioid‐induced intoxication vs. others. Further analysis was conducted to stratify patient populations at greatest risk.ResultsNaloxone was administered for well‐defined opioid‐induced respiratory depression and oversedation 61% of the time, the remainder used for patient deterioration of other etiology. Surgical populations are at risk with an incidence of 3.8/1,000 hospitalized patients, and this is the greatest within 24 hours of surgery. General surgical patients represent the highest surgical patient risk at 5.5/1,000. Medical patients represent lower risk at 2.0/1,000. Patients with patient‐controlled analgesia and epidural opioid infusion are high risk at 12.1 and 13.1/1,000 patients, respectively. Many quality and safety interventions were gradually implemented in response to this data and are summarized. These include nursing and provider education, electronic medical record modification, and more stringent patient monitoring practices.ConclusionExamination of naloxone use can assist in the identification and stratification of patients at risk for opioid‐induced respiratory depression and oversedation and can serve as a driver for improvements in hospital patient safety. This information can also guide other institutions interested in similar improvements.

We used whole‐exome sequencing to identify variants other than APOE associated with the rate of hippocampal atrophy in amnestic mild cognitive impairment. An in‐silico predicted missense variant in REST (rs3796529) was found exclusively in subjects with slow hippocampal volume loss and validated using unbiased whole‐brain analysis and meta‐analysis across 5 independent cohorts. REST is a master regulator of neurogenesis and neuronal differentiation that has not been previously implicated in Alzheimer's disease. These findings nominate REST and its functional pathways as protective and illustrate the potential of combining next‐generation sequencing with neuroimaging to discover novel disease mechanisms and potential therapeutic targets. Ann Neurol 2015;77:547–552

AbstractBackgroundLate‐onset Alzheimer's disease (AD) is heritable with 20 genes showing genome‐wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis.MethodsThe ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain.ResultsALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (P = 3.27 × 10−12 after multiple testing correction for pathways), regulation of endocytosis (P = 1.31 × 10−11), cholesterol transport (P = 2.96 × 10−9), and proteasome‐ubiquitin activity (P = 1.34 × 10−6). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P = .002–.05).ConclusionsThe immune response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics.