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      Transcriptomics in developmental toxicity testing

      editorial
      * , 1
      EXCLI Journal
      Leibniz Research Centre for Working Environment and Human Factors

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          Abstract

           Reproductive toxicity testing is one of the most complex, expensive and labor intensive fields of toxicology (Leist et al., 2013[16]; Wobus and Löser, 2011[35]; Hengstler, 2011[11]; Krause et al., 2013[14]). The catastrophic consequences of thalidomide-induced teratogenesis (Schmahl et al., 1996[24]; Sterz et al., 1987[30]) drastically demonstrate the fundamental importance of reliable developmental toxicity tests for human safety (van Thriel and Stewart, 2012[33][32]; van Thriel et al., 2012[34]; Frimat et al., 2010[7]; Kadereit et al., 2012[12]; Marques et al., 2012[19]; Duydu et al., 2011[6]). Currently, large efforts are undertaken to establish in vitro test systems of developmental toxicity (Krug et al., 2013[15]; Strikwold et al., 2013[31]; Seiler et al., 2011[28]; Bolt, 2013[2]). Recently, human embryonic stem cell based in vitro test systems have been established that recapitulate critical periods of human early development (Krug et al., 2013[15]; Zimmer et al., 2011[36]; 2012[37]). During this differentiation period the differentiating stem cells are exposed to test compounds to study their influence on genome-wide expression patterns. Evaluation of the deregulated genes is usually based on methods of pattern analysis and identification of overrepresented motifs which initially has been introduced for characterization of tumor tissue (Kammers et al., 2011[13]; Lohr et al., 2012[18]; Botling et al., 2013[3]; Schmidt et al., 2008[25], 2012[26]; Cadenas et al., 2010[5]). These studies have clearly shown that compounds known to induce developmental toxicity cause different alterations in gene expression than negative control compounds (Krug et al., 2013[15]; Krause et al., 2013[14]). Despite of this success stem cell based in vitro studies are still not broadly applied in routine toxicity testing. The majority of currently published studies are still performed in vivo (e.g. Gao et al., 2012[8]; Saegusa et al., 2012[23]; Ogawa et al., 2012[21]; Romano et al., 2012[22]; Lim et al. 2007[17]; Burns and Korack, 2012[4]; Shiraki et al., 2012[29]; Balansky et al., 2012[1]). Of course in vitro systems still have the limitation that it is difficult to derive NOAELS (Godoy et al., 2013[9]). Although currently large efforts are undertaken to define in vivo relevant concentrations for in vitro testing (Mielke et al., 2011[20]) and to correlate in vitro and in vivo data (Heise et al., 2012[10]; Schug et al., 2013[27]) the use of in vitro systems in the risk evaluation process is still controversial. Their application for harzard identification and to filter problematic compounds is more generally accepted. Although the recently published transcriptomic studies in developing stem cells represent a critical progress they still leave some important questions open: How are the compound induced gene expression alterations linked to adverse effects? Which expression responses represent reversible 'harmless' efforts of the cells to reestablish their equilibrium? Which genes, in contrast, indicate mechanisms leading to reversible consequences? What is the optimal concentration range for transcriptomics studies? Is it acceptable to use the EC10 as practiced in most studies? Or do already slightly cytotoxic concentrations induce cell death associated expression signatures which dilute the specific sigals? Do differentiating embryonic stem cells in vitro show waves of development with susceptible periods similar to the in vivo situation? Answers to these critical questions would certainly improve the general acceptance of the recently established FP7 ESNATS in vitro test systems (Bolt, 2013[2]; Leist et al., 2013[16]) in developmental toxicity.

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          Most cited references33

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          Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis, and tissue microarray validation.

          Global gene expression profiling has been widely used in lung cancer research to identify clinically relevant molecular subtypes as well as to predict prognosis and therapy response. So far, the value of these multigene signatures in clinical practice is unclear, and the biologic importance of individual genes is difficult to assess, as the published signatures virtually do not overlap. Here, we describe a novel single institute cohort, including 196 non-small lung cancers (NSCLC) with clinical information and long-term follow-up. Gene expression array data were used as a training set to screen for single genes with prognostic impact. The top 450 probe sets identified using a univariate Cox regression model (significance level P < 0.01) were tested in a meta-analysis including five publicly available independent lung cancer cohorts (n = 860). The meta-analysis revealed 14 genes that were significantly associated with survival (P < 0.001) with a false discovery rate <1%. The prognostic impact of one of these genes, the cell adhesion molecule 1 (CADM1), was confirmed by use of immunohistochemistry on tissue microarrays from 2 independent NSCLC cohorts, altogether including 617 NSCLC samples. Low CADM1 protein expression was significantly associated with shorter survival, with particular influence in the adenocarcinoma patient subgroup. Using a novel NSCLC cohort together with a meta-analysis validation approach, we have identified a set of single genes with independent prognostic impact. One of these genes, CADM1, was further established as an immunohistochemical marker with a potential application in clinical diagnostics.
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            A comprehensive analysis of human gene expression profiles identifies stromal immunoglobulin κ C as a compatible prognostic marker in human solid tumors.

            Although the central role of the immune system for tumor prognosis is generally accepted, a single robust marker is not yet available. On the basis of receiver operating characteristic analyses, robust markers were identified from a 60-gene B cell-derived metagene and analyzed in gene expression profiles of 1,810 breast cancer; 1,056 non-small cell lung carcinoma (NSCLC); 513 colorectal; and 426 ovarian cancer patients. Protein and RNA levels were examined in paraffin-embedded tissue of 330 breast cancer patients. The cell types were identified with immunohistochemical costaining and confocal fluorescence microscopy. We identified immunoglobulin κ C (IGKC) which as a single marker is similarly predictive and prognostic as the entire B-cell metagene. IGKC was consistently associated with metastasis-free survival across different molecular subtypes in node-negative breast cancer (n = 965) and predicted response to anthracycline-based neoadjuvant chemotherapy (n = 845; P < 0.001). In addition, IGKC gene expression was prognostic in NSCLC and colorectal cancer. No association was observed in ovarian cancer. IGKC protein expression was significantly associated with survival in paraffin-embedded tissues of 330 breast cancer patients. Tumor-infiltrating plasma cells were identified as the source of IGKC expression. Our findings provide IGKC as a novel diagnostic marker for risk stratification in human cancer and support concepts to exploit the humoral immune response for anticancer therapy. It could be validated in several independent cohorts and carried out similarly well in RNA from fresh frozen as well as from paraffin tissue and on protein level by immunostaining. ©2012 AACR.
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              Estrogen receptors and human disease: an update.

              A myriad of physiological processes in mammals are influenced by estrogens and the estrogen receptors (ERs), ERα and ERβ. As we reviewed previously, given the widespread role for estrogen in normal human physiology, it is not surprising that estrogen is implicated in the development or progression of a number of diseases. In this review, we are giving a 5-year update of the literature regarding the influence of estrogens on a number of human cancers (breast, ovarian, colorectal, prostate, and endometrial), endometriosis, fibroids, and cardiovascular disease. A large number of sophisticated experimental studies have provided insights into human disease, but for this review, the literature citations were limited to articles published after our previous review (Deroo and Korach in J Clin Invest 116(3):561-570, 2006) and will focus in most cases on human data and clinical trials. We will describe the influence in which estrogen's action, through one of or both of the ERs, mediates the aforementioned human disease states.
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                Author and article information

                Journal
                EXCLI J
                EXCLI J
                EXCLI J
                EXCLI Journal
                Leibniz Research Centre for Working Environment and Human Factors
                1611-2156
                12 December 2013
                2013
                : 12
                : 1027-1029
                Affiliations
                [1 ]Leibniz Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystrasse 67, 44139 Dortmund, Germany
                Author notes
                *To whom correspondence should be addressed: H. M. Bolt, Leibniz Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystrasse 67, 44139 Dortmund, Germany; Telephone: 0231-1084-223, Fax: 0231-1084-403, E-mail: bolt@ 123456ifado.de
                Article
                2013-637 Doc1027
                4803008
                27034643
                ba524696-af9f-4611-a160-2a820b80d3fa
                Copyright © 2013 Bolt

                This is an Open Access article distributed under the following Assignment of Rights http://www.excli.de/documents/assignment_of_rights.pdf. You are free to copy, distribute and transmit the work, provided the original author and source are credited.

                History
                : 10 December 2013
                : 11 December 2013
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