16 research outputs found

    A Multiplexed Cytokeratin Analysis Using Targeted Mass Spectrometry Reveals Specific Profiles in Cancer-Related Pleural Effusions

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    Pleural effusion (PE), excess fluid in the pleural space, is often observed in lung cancer patients and also forms due to many benign ailments. Classifying it quickly is critical, but this remains an analytical challenge often lengthening the diagnosis process or exposing patients to unnecessary risky invasive procedures. We tested the analysis of PE using a multiplexed cytokeratin (CK) panel with targeted mass spectrometry–based quantitation for its rapid classification. CK markers are often assessed in pathological examinations for cancer diagnosis and guiding treatment course. We developed methods to simultaneously quantify 33 CKs in PE using peptide standards for increased analytical specificity and a simple CK enrichment method to detect their low amounts. Analyzing 121 PEs associated with a variety of lung cancers and noncancerous causes, we show that abundance levels of 10 CKs can be related to PE etiology. CK-6, CK-7, CK-8, CK-18, and CK-19 were found at significantly higher levels in cancer-related PEs. Additionally, elevated levels of vimentin and actin differentiated PEs associated with bacterial infections. A classifier algorithm effectively grouped PEs into cancer-related or benign PEs with 81% sensitivity and 79% specificity. A set of undiagnosed PEs showed that our method has potential to shorten PE diagnosis time. For the first time, we show that a cancer-relevant panel of simple-epithelial CK markers currently used in clinical assessment can also be quantitated in PEs. Additionally, while requiring less invasive sampling, our methodology demonstrated a significant ability to identify cancer-related PEs in clinical samples and thus could improve patient care in the future

    An MRM-Based Cytokeratin Marker Assay as a Tool for Cancer Studies: Application to Lung Cancer Pleural Effusions

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    PURPOSE: The goal of this work was to develop an LC-MRM assay for the quantitative analysis of a set of established and diagnostically important cytokeratin (CK) markers used in cancer diagnosis, prognosis, and therapy monitoring. Second, the potential of this assay in lung cancer diagnosis through pleural effusion (PE) analysis was examined. EXPERIMENTAL DESIGN: A multiplexed MRM assay was developed for 17 CKs and their select caspase-cleaved fragments. Isotope-labeled standard peptides were used for high assay specificity and absolute peptide quantitation; with robust standard-flow LC coupled to a latest-generation triple-quadrupole instrument for high sensitivity. The potential clinical applicability was demonstrated by the analysis of 118 PE samples. RESULTS: The MRM assay was evaluated for endogenous detection, linearity, precision, upper and lower limits of quantification, selectivity, reproducibility and peptide stability, and is generally applicable to any epithelial cancer study. A set of 118 patients with known pathologies allowed us to define the range of CK levels in clinical PE samples. Specific CKs were able to differentiate cancer-related PEs from those caused by benign ailments. In addition, they allowed to differentiate between PEs from subjects with small cell lung cancer versus non-small cell lung carcinoma, and to further differentiate the latter into its two subtypes, adenocarcinoma and squamous cell carcinoma. CONCLUSION AND CLINICAL RELEVANCE: An MRM-based CK assay for carcinoma studies can differentiate between the three lung cancer histological types using less-invasive PE sampling providing potential therapy-guiding information on patients that are inoperable

    Survey of Neonates in Pomerania (SNiP): Study design and cohort update

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    Abstract Background The health status of newborns is a major concern for parents and medical personnel. Recent studies have provided increasing evidence that factors from the foetal and perinatal periods of life influence health later in life. The “Follow‐up of the Survey of Neonates in Pomerania” (SNiP‐I‐Follow‐up) is the first follow‐up of the population‐based birth cohort study, SNiP‐I, established in north‐east Germany. Objectives The primary aim of SNiP‐I‐Follow‐up study was the collection of longitudinal data on children and adolescents. The associations will be analysed between risk factors in pregnancy and the perinatal period and health status in infancy and later childhood. Population The population‐based cohort study SNiP‐I was conducted in Pomerania in north‐east Germany between February 2002 and November 2008. All mothers from the SNiP‐I birth cohort were recontacted when their children were from 9 to 15 years of age. Design The SNiP‐I‐Follow‐up study was carried out between December 2016 and August 2017 and is a questionnaire‐based survey. Methods Physical development, health status, and social behaviour (school and leisure behaviour) of children were analysed using a questionnaire comprising medical, epidemiological, and socio‐economic data, associated health care risk factors, and life circumstances of newborns, children, and their parents. Preliminary results Out of 5725 children invited to participate in the SNiP‐I‐Follow‐up study between December 2016 and August 2017, 29% (n = 1665) children participated in the SNiP‐I‐Follow‐up study, providing data on 1665 mothers‐child dyads. Responders had higher socio‐economic status, especially in relation to maternal education status. Conclusion As a longitudinal birth cohort from rural Germany, the SNiP cohort will be a resource to address urgent research needs and contribute to overall population health

    Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study

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    Abstract Background Gestational diabetes mellitus (GDM) is the most frequent complication during pregnancy. Untreated GDM is a severe threat to maternal and neonatal health. Based on recent evidence, up to 15% of all pregnancies may be affected by GDM. We hypothesized that in a rural birth cohort, higher maternal BMI and adverse socioeconomic conditions would promote GDM, which in turn would lead to adverse effects on pregnancy outcomes. Methods The current study is a part of a population-based cohort study examining the health and socioeconomic information from 5801 mothers and their children. The study, titled the Survey of Neonates in Pomerania (SNiP), was based in northeastern Pomerania, Germany (2002–2008). Results The cumulative incidence of GDM was 5.1%. Multiple logistic regression revealed prepregnancy overweight (OR 1.84 (95% CI 1.27–2.68)), prepregnancy obesity (OR 3.67 (2.48–5.44)) and maternal age (OR 1.06 (1.03–1.08)) as risk factors for GDM (p = 0.001). Alcohol use during pregnancy (OR 0.61 (0.41–0.90), a higher monthly income (OR 0.62 (0.46–0.83)), and the highest level of education (OR 0.44 (0.46–0.83)) decreased the risk of GDM. Newborns of GDM mothers had an increased risk of hypoglycaemia (OR 11.71 (7.49–18.30)) or macrosomia (OR 2.43 (1.41–4.18)) and were more often delivered by primary (OR 1.76 (1.21–2.60)) or secondary C-section (OR 2.00 (1.35–2.97)). Moreover, they were born 0.78 weeks (95% CI -1.09 – -0.48 weeks) earlier than infants of mothers without diabetes, resulting in higher percentage of late preterm infants with a gestational age of 32–36 weeks (11.1% vs. 6.96%). Conclusions Age and BMI before pregnancy were the predominant mediators of the increased risk of GDM, whereas a higher income and educational level were protective. GDM affected relevant perinatal and neonatal outcomes based on its association with an increased risk of delivery by C-section, preterm birth, macrosomia at birth and neonatal hypoglycaemia

    The study of radiation damage of EPROM 2764 memory

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    A simple statistical theory of radiation damage of semiconductor memory has been constructed. The radiation damage of EPROM memory has been investigated. The measured number of damaged bytes is significantly lower than the expected number resulting from the purely random distribution of the damaged bits. In this way it has been proven that there is a correlation between the failures of individual memory bits which are located in the same byte
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