89 results on '"Vincent Detours"'
Search Results
2. Fluorescent Multiplex Immunohistochemistry Coupled With Other State-Of-The-Art Techniques to Systematically Characterize the Tumor Immune Microenvironment
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Anaïs Boisson, Grégory Noël, Manuel Saiselet, Joël Rodrigues-Vitória, Noémie Thomas, Mireille Langouo Fontsa, Doïna Sofronii, Céline Naveaux, Hugues Duvillier, Ligia Craciun, Denis Larsimont, Ahmad Awada, Vincent Detours, Karen Willard-Gallo, and Soizic Garaud
- Subjects
tumor immune microenvironment ,breast cancer ,tumor-infiltrating lymphocytes ,tertiary lymphoid structure ,fluorescent multiplex immunohistochemistry ,Biology (General) ,QH301-705.5 - Abstract
Our expanding knowledge of the interactions between tumor cells and their microenvironment has helped to revolutionize cancer treatments, including the more recent development of immunotherapies. Immune cells are an important component of the tumor microenvironment that influence progression and treatment responses, particularly to the new immunotherapies. Technological advances that help to decipher the complexity and diversity of the tumor immune microenvironment (TIME) are increasingly used in translational research and biomarker studies. Current techniques that facilitate TIME evaluation include flow cytometry, multiplex bead-based immunoassays, chromogenic immunohistochemistry (IHC), fluorescent multiplex IHC, immunofluorescence, and spatial transcriptomics. This article offers an overview of our representative data, discusses the application of each approach to studies of the TIME, including their advantages and challenges, and reviews the potential clinical applications. Flow cytometry and chromogenic and fluorescent multiplex IHC were used to immune profile a HER2+ breast cancer, illustrating some points. Spatial transcriptomic analysis of a luminal B breast tumor demonstrated that important additional insight can be gained from this new technique. Finally, the development of a multiplex panel to identify proliferating B cells, Tfh, and Tfr cells on the same tissue section demonstrates their co-localization in tertiary lymphoid structures.
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- 2021
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3. Principles Governing A-to-I RNA Editing in the Breast Cancer Transcriptome
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Debora Fumagalli, David Gacquer, Françoise Rothé, Anne Lefort, Frederick Libert, David Brown, Naima Kheddoumi, Adam Shlien, Tomasz Konopka, Roberto Salgado, Denis Larsimont, Kornelia Polyak, Karen Willard-Gallo, Christine Desmedt, Martine Piccart, Marc Abramowicz, Peter J. Campbell, Christos Sotiriou, and Vincent Detours
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Little is known about how RNA editing operates in cancer. Transcriptome analysis of 68 normal and cancerous breast tissues revealed that the editing enzyme ADAR acts uniformly, on the same loci, across tissues. In controlled ADAR expression experiments, the editing frequency increased at all loci with ADAR expression levels according to the logistic model. Loci-specific “editabilities,” i.e., propensities to be edited by ADAR, were quantifiable by fitting the logistic function to dose-response data. The editing frequency was increased in tumor cells in comparison to normal controls. Type I interferon response and ADAR DNA copy number together explained 53% of ADAR expression variance in breast cancers. ADAR silencing using small hairpin RNA lentivirus transduction in breast cancer cell lines led to less cell proliferation and more apoptosis. A-to-I editing is a pervasive, yet reproducible, source of variation that is globally controlled by 1q amplification and inflammation, both of which are highly prevalent among human cancers.
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- 2015
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4. Immune Checkpoint Molecules on Tumor-Infiltrating Lymphocytes and Their Association with Tertiary Lymphoid Structures in Human Breast Cancer
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Cinzia Solinas, Soizic Garaud, Pushpamali De Silva, Anaïs Boisson, Gert Van den Eynden, Alexandre de Wind, Paolo Risso, Joel Rodrigues Vitória, François Richard, Edoardo Migliori, Grégory Noël, Hugues Duvillier, Ligia Craciun, Isabelle Veys, Ahmad Awada, Vincent Detours, Denis Larsimont, Martine Piccart-Gebhart, and Karen Willard-Gallo
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PD-1 ,PD-L1/PD-L2 ,CTLA-4 ,LAG3 ,TIM3 ,tumor-infiltrating lymphocytes ,Immunologic diseases. Allergy ,RC581-607 - Abstract
There is an exponentially growing interest in targeting immune checkpoint molecules in breast cancer (BC), particularly in the triple-negative subtype where unmet treatment needs remain. This study was designed to analyze the expression, localization, and prognostic role of PD-1, PD-L1, PD-L2, CTLA-4, LAG3, and TIM3 in primary BC. Gene expression analysis using the METABRIC microarray dataset found that all six immune checkpoint molecules are highly expressed in basal-like and HER2-enriched compared to the other BC molecular subtypes. Flow cytometric analysis of fresh tissue homogenates from untreated primary tumors show that PD-1 is principally expressed on CD4+ or CD8+ T cells and CTLA-4 is expressed on CD4+ T cells. The global proportion of PD-L1+, PD-L2+, LAG3+, and TIM3+ tumor-infiltrating lymphocytes (TIL) was low and detectable in only a small number of tumors. Immunohistochemically staining fixed tissues from the same tumors was employed to score TIL and tertiary lymphoid structures (TLS). PD-L1+, PD-L2+, LAG3+, and TIM3+ cells were detected in some TLS in a pattern that resembles secondary lymphoid organs. This observation suggests that TLS are important sites of immune activation and regulation, particularly in tumors with extensive baseline immune infiltration. Significantly improved overall survival was correlated with PD-1 expression in the HER2-enriched and PD-L1 or CTLA-4 expression in basal-like BC. PD-1 and CTLA-4 proteins were most frequently detected on TIL, which supports the correlations observed between their gene expression and improved long-term outcome in basal-like and HER2-enriched BC. PD-L1 expression by tumor or immune cells is uncommon in BC. Overall, the data presented here distinguish PD-1 as a marker of T cell activity in both the T and B cell areas of BC associated TLS. We found that immune checkpoint molecule expression parallels the extent of TIL and TLS, although there is a noteworthy amount of heterogeneity between tumors even within the same molecular subtype. These data indicate that assessing the levels of immune checkpoint molecule expression in an individual patient has important implications for the success of therapeutically targeting them in BC.
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- 2017
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5. A research note regarding 'Variation in cancer risk among tissues can be explained by the number of stem cell divisions' [version 2; referees: 2 approved]
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Maxime Tarabichi and Vincent Detours
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Cancer Therapeutics ,Methods for Diagnostic & Therapeutic Studies ,Preventive Medicine ,Medicine ,Science - Abstract
Tomasetti and Vogelstein argued that 2/3 of human cancers are due to ‘bad luck’ and that “primary prevention measures [against cancer] are not likely to be very effective”. We demonstrate that their calculations for hepatocellular carcinomas overlooked a major subset of these cancers proven to be preventable through vaccination. The problem, which is not limited to hepatocellular carcinoma, arises from the general reliance of their analysis on average incidences in the United States and the omission of incidences in specific risk groups.
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- 2016
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6. A research note regarding 'Variation in cancer risk among tissues can be explained by the number of stem cell divisions' [version 1; referees: 2 approved]
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Maxime Tarabichi and Vincent Detours
- Subjects
Cancer Therapeutics ,Methods for Diagnostic & Therapeutic Studies ,Preventive Medicine ,Medicine ,Science - Abstract
Tomasetti and Vogelstein argued that 2/3 of human cancers are due to ‘bad luck’ and that “primary prevention measures [against cancer] are not likely to be very effective”. We demonstrate that their calculations for hepatocellular carcinomas overlooked a major subset of these cancers proven to be preventable through vaccination. The problem, which is not limited to hepatocellular carcinoma, arises from the general reliance of their analysis on average incidences in the United States and the omission of incidences in specific risk groups.
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- 2016
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7. Piecewise polynomial representations of genomic tracks.
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Maxime Tarabichi, Vincent Detours, and Tomasz Konopka
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Medicine ,Science - Abstract
Genomic data from micro-array and sequencing projects consist of associations of measured values to chromosomal coordinates. These associations can be thought of as functions in one dimension and can thus be stored, analyzed, and interpreted as piecewise-polynomial curves. We present a general framework for building piecewise polynomial representations of genome-scale signals and illustrate some of its applications via examples. We show that piecewise constant segmentation, a typical step in copy-number analyses, can be carried out within this framework for both array and (DNA) sequencing data offering advantages over existing methods in each case. Higher-order polynomial curves can be used, for example, to detect trends and/or discontinuities in transcription levels from RNA-seq data. We give a concrete application of piecewise linear functions to diagnose and quantify alignment quality at exon borders (splice sites). Our software (source and object code) for building piecewise polynomial models is available at http://sourceforge.net/projects/locsmoc/.
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- 2012
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8. A measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.
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David Venet, Vincent Detours, and Hugues Bersini
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Medicine ,Science - Abstract
BACKGROUND: The quality of gene expression data can vary dramatically from platform to platform, study to study, and sample to sample. As reliable statistical analysis rests on reliable data, determining such quality is of the utmost importance. Quality measures to spot problematic samples exist, but they are platform-specific, and cannot be used to compare studies. RESULTS: As a proxy for quality, we propose a signal-to-noise ratio for microarray data, the "Signal-to-Noise Applied to Gene Expression Experiments", or SNAGEE. SNAGEE is based on the consistency of gene-gene correlations. We applied SNAGEE to a compendium of 80 large datasets on 37 platforms, for a total of 24,380 samples, and assessed the signal-to-noise ratio of studies and samples. This allowed us to discover serious issues with three studies. We show that signal-to-noise ratios of both studies and samples are linked to the statistical significance of the biological results. CONCLUSIONS: We showed that SNAGEE is an effective way to measure data quality for most types of gene expression studies, and that it often outperforms existing techniques. Furthermore, SNAGEE is platform-independent and does not require raw data files. The SNAGEE R package is available in BioConductor.
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- 2012
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9. Most random gene expression signatures are significantly associated with breast cancer outcome.
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David Venet, Jacques E Dumont, and Vincent Detours
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Biology (General) ,QH301-705.5 - Abstract
Bridging the gap between animal or in vitro models and human disease is essential in medical research. Researchers often suggest that a biological mechanism is relevant to human cancer from the statistical association of a gene expression marker (a signature) of this mechanism, that was discovered in an experimental system, with disease outcome in humans. We examined this argument for breast cancer. Surprisingly, we found that gene expression signatures-unrelated to cancer-of the effect of postprandial laughter, of mice social defeat and of skin fibroblast localization were all significantly associated with breast cancer outcome. We next compared 47 published breast cancer outcome signatures to signatures made of random genes. Twenty-eight of them (60%) were not significantly better outcome predictors than random signatures of identical size and 11 (23%) were worst predictors than the median random signature. More than 90% of random signatures >100 genes were significant outcome predictors. We next derived a metagene, called meta-PCNA, by selecting the 1% genes most positively correlated with proliferation marker PCNA in a compendium of normal tissues expression. Adjusting breast cancer expression data for meta-PCNA abrogated almost entirely the outcome association of published and random signatures. We also found that, in the absence of adjustment, the hazard ratio of outcome association of a signature strongly correlated with meta-PCNA (R(2) = 0.9). This relation also applied to single-gene expression markers. Moreover, >50% of the breast cancer transcriptome was correlated with meta-PCNA. A corollary was that purging cell cycle genes out of a signature failed to rule out the confounding effect of proliferation. Hence, it is questionable to suggest that a mechanism is relevant to human breast cancer from the finding that a gene expression marker for this mechanism predicts human breast cancer outcome, because most markers do. The methods we present help to overcome this problem.
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- 2011
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10. Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.
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Nelle Lambert, Marie-Alexandra Lambot, Angéline Bilheu, Valérie Albert, Yvon Englert, Frédérick Libert, Jean-Christophe Noel, Christos Sotiriou, Alisha K Holloway, Katherine S Pollard, Vincent Detours, and Pierre Vanderhaeghen
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Medicine ,Science - Abstract
The developmental mechanisms through which the cerebral cortex increased in size and complexity during primate evolution are essentially unknown. To uncover genetic networks active in the developing cerebral cortex, we combined three-dimensional reconstruction of human fetal brains at midgestation and whole genome expression profiling. This novel approach enabled transcriptional characterization of neurons from accurately defined cortical regions containing presumptive Broca and Wernicke language areas, as well as surrounding associative areas. We identified hundreds of genes displaying differential expression between the two regions, but no significant difference in gene expression between left and right hemispheres. Validation by qRTPCR and in situ hybridization confirmed the robustness of our approach and revealed novel patterns of area- and layer-specific expression throughout the developing cortex. Genes differentially expressed between cortical areas were significantly associated with fast-evolving non-coding sequences harboring human-specific substitutions that could lead to divergence in their repertoires of transcription factor binding sites. Strikingly, while some of these sequences were accelerated in the human lineage only, many others were accelerated in chimpanzee and/or mouse lineages, indicating that genes important for cortical development may be particularly prone to changes in transcriptional regulation across mammals. Genes differentially expressed between cortical regions were also enriched for transcriptional targets of FoxP2, a key gene for the acquisition of language abilities in humans. Our findings point to a subset of genes with a unique combination of cortical areal expression and evolutionary patterns, suggesting that they play important roles in the transcriptional network underlying human-specific neural traits.
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- 2011
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11. Dual targeting of MAPK and PI3K pathways unlocks re-differentiation of Braf-mutated thyroid cancer organoids
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Hélène Lasolle, Andrea Schiavo, Adrien Tourneur, Pierre Gillotay, Bárbara de Faria da Fonseca, Lucieli Ceolin, Olivier Monestier, Benilda Aganahi, Laura Chomette, Marina Malta Letro Kizys, Lieven Haenebalcke, Tim Pieters, Steven Goossens, Jody Haigh, Vincent Detours, Ana Luiza Silva Maia, Sabine Costagliola, and Mírian Romitti
- Abstract
Thyroid cancer is the most common endocrine malignancy and several genetic events have been described to promote the development of thyroid carcinogenesis. Besides the effects of specific mutations on thyroid cancer development, the molecular mechanisms controlling tumorigenesis, tumor behavior, and drug resistance are still largely unknown. Cancer organoids have been proposed as a powerful tool to study aspects related to tumor development and progression and appear promising to test individual responses to therapies. Here, using mESC-derived thyroid organoids, we developed a BrafV637E-inducible model able to recapitulate the features of papillary thyroid cancer in vitro. Overexpression of BrafV637Erapidly leads to MAPK activation, cell dedifferentiation, and disruption of follicular organization. BrafV637E-expressing organoids show a transcriptomic signature for p53, focal adhesion, ECM-receptor interactions, EMT, and inflammatory signaling pathways. Finally, PTC-like thyroid organoids were used for drug screening assays. The combination of MAPK and PI3K inhibitors reversedBrafoncogene-promoted cell dedifferentiation while restoring thyroid follicle organization and functionin vitro. Our results demonstrate that pluripotent stem cells-derived thyroid cancer organoids can mimic tumor development and features while providing an efficient tool for testing novel targeted therapies.
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- 2023
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12. Supplementary Figure 1 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
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Supplementary Figure 1 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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13. Supplementary Materials and Methods from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
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Supplementary Materials and Methods from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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14. Supplementary Figure 3 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Figure 3 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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15. Supplementary Figure 4 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Figure 4 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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16. Supplementary Table 3 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Table 3 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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17. Supplementary Figure 2 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Figure 2 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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18. Supplementary Table 1 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Table 1 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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19. Data from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Cell lines are crucial to elucidate mechanisms of tumorigenesis and serve as tools for cancer treatment screenings. Therefore, careful validation of whether these models have conserved properties of in vivo tumors is highly important. Thyrocyte-derived tumors are very interesting for cancer biology studies because from one cell type, at least five histologically characterized different benign and malignant tumor types can arise. To investigate whether thyroid tumor–derived cell lines are representative in vitro models, characteristics of eight of those cell lines were investigated with microarrays, differentiation markers, and karyotyping. Our results indicate that these cell lines derived from differentiated and undifferentiated tumor types have evolved in vitro into similar phenotypes with gene expression profiles the closest to in vivo undifferentiated tumors. Accordingly, the absence of expression of most thyrocyte-specific genes, the nonresponsiveness to thyrotropin, as well as their large number of chromosomal abnormalities, suggest that these cell lines have acquired characteristics of fully dedifferentiated cells. They represent the outcome of an adaptation and evolution in vitro, which questions the reliability of these cell lines as models for differentiated tumors. However, they may represent useful models for undifferentiated cancers, and by their comparison with differentiated cells, can help to define the genes involved in the differentiation/dedifferentiation process. The use of any cell line as a model for a cancer therefore requires prior careful and thorough validation for the investigated property. [Cancer Res 2007;67(17):8113–20]
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- 2023
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20. Supplementary Table 2 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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Carine Maenhaut, Vincent Detours, Jacques E. Dumont, Frédérick Libert, Gerry Thomas, Brigitte Franc, Guy Andry, Laurence Duprez, Laurent Delys, David Weiss Solís, and Wilma C.G. van Staveren
- Abstract
Supplementary Table 2 from Human Thyroid Tumor Cell Lines Derived from Different Tumor Types Present a Common Dedifferentiated Phenotype
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- 2023
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21. Generation of human thyroid organoids from embryonic stem cells to rescue hypothyroidism
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Mirian Romitti, Adrien Tourneur, Helene Lasolle, Vincent Detours, Sumeet Singh, Samuel Refetoff, and Sabine Costagliola
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- 2022
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22. Dynamic Cancer Cell Heterogeneity: Diagnostic and Therapeutic Implications
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Valerie Jacquemin, Mathieu Antoine, Geneviève Dom, Vincent Detours, Carine Maenhaut, and Jacques E. Dumont
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Cancer Research ,implication ,molecular level ,Oncology ,tumor ecosystem ,thyroid cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Review ,heterogeneity ,RC254-282 - Abstract
Simple Summary Cancer heterogeneity, which occurs in most cancer patients, has been known and studied by experienced pathologists since the early 19th century. Intratumoral heterogeneity between cancer cells can arise from complex genetic, epigenetic, and metabolic modifications under the influence of the tumor microenvironment and confers considerable adaptability to tumors. Despite major advances in cancer therapy, tumoral heterogeneity remains a major obstacle to the successful treatment of cancer. In this review, we highlight the role of intratumoral heterogeneity, focusing on the clinical and biological implications of this phenomenon. Abstract Though heterogeneity of cancers is recognized and has been much discussed in recent years, the concept often remains overlooked in different routine examinations. Indeed, in clinical or biological articles, reviews, and textbooks, cancers and cancer cells are generally presented as evolving distinct entities rather than as an independent heterogeneous cooperative cell population with its self-oriented biology. There are, therefore, conceptual gaps which can mislead the interpretations/diagnostic and therapeutic approaches. In this short review, we wish to summarize and discuss various aspects of this dynamic evolving heterogeneity and its biological, pathological, clinical, diagnostic, and therapeutic implications, using thyroid carcinoma as an illustrative example.
- Published
- 2021
23. Transplantable human thyroid organoids generated from embryonic stem cells to rescue hypothyroidism
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Mírian Romitti, Adrien Tourneur, Barbara de Faria da Fonseca, Gilles Doumont, Pierre Gillotay, Xiao-Hui Liao, Sema Elif Eski, Gaetan Van Simaeys, Laura Chomette, Helene Lasolle, Olivier Monestier, Dominika Figini Kasprzyk, Vincent Detours, Sumeet Pal Singh, Serge Goldman, Samuel Refetoff, and Sabine Costagliola
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Thyroid Hormones ,endocrine system ,medicine.medical_specialty ,endocrine system diseases ,Hormone replacement ,General Physics and Astronomy ,General Biochemistry, Genetics and Molecular Biology ,Mice ,Hypothyroidism ,Internal medicine ,medicine ,Organoid ,Humans ,Animals ,Embryonic Stem Cells ,Multidisciplinary ,business.industry ,Thyroid ,General Chemistry ,Plasma levels ,Embryonic stem cell ,In vitro ,Organoids ,medicine.anatomical_structure ,Endocrinology ,Human thyroid ,business ,Hormone - Abstract
The function of the thyroid gland is to capture iodide in order to synthesize hormones that act on almost all tissues and are essential for normal growth and metabolism. Low plasma levels of thyroid hormones lead to hypothyroidism, which is one of the most common disorder in humans which is not always satisfactorily treated by lifelong hormone replacement. Therefore, in addition to the lack of in vitro tractable models to study human thyroid development, differentiation and maturation, there is a need for new therapeutic approaches that involve replacement of thyroid tissue responsive to changing demands for thyroid hormone. Here we report the first transplantable thyroid organoids derived from human embryonic stem cells capable of restoring plasma thyroid hormone to athyreotic mice as a proof of concept for future therapeutic development.
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- 2021
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24. Fluorescent Multiplex Immunohistochemistry Coupled With Other State-Of-The-Art Techniques to Systematically Characterize the Tumor Immune Microenvironment
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Denis Larsimont, Karen Willard-Gallo, Hugues Duvillier, Ligia Craciun, Joël Rodrigues-Vitória, Mireille Langouo Fontsa, Soizic Garaud, Grégory Noël, Noémie Thomas, Anaïs Boisson, Ahmad Awada, Doïna Sofronii, Céline Naveaux, Manuel Saiselet, and Vincent Detours
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tumor immune microenvironment ,Tumor microenvironment ,medicine.diagnostic_test ,QH301-705.5 ,Tumor-infiltrating lymphocytes ,Cancer ,fluorescent multiplex immunohistochemistry ,Computational biology ,Biology ,Immunofluorescence ,medicine.disease ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,Biochemistry ,Biomarker (cell) ,Flow cytometry ,breast cancer ,Immune system ,tumor-infiltrating lymphocytes ,Methods ,medicine ,Molecular Biosciences ,tertiary lymphoid structure ,Multiplex ,Biology (General) ,Molecular Biology - Abstract
Our expanding knowledge of the interactions between tumor cells and their microenvironment has helped to revolutionize cancer treatments, including the more recent development of immunotherapies. Immune cells are an important component of the tumor microenvironment that influence progression and treatment responses, particularly to the new immunotherapies. Technological advances that help to decipher the complexity and diversity of the tumor immune microenvironment (TIME) are increasingly used in translational research and biomarker studies. Current techniques that facilitate TIME evaluation include flow cytometry, multiplex bead-based immunoassays, chromogenic immunohistochemistry (IHC), fluorescent multiplex IHC, immunofluorescence, and spatial transcriptomics. This article offers an overview of our representative data, discusses the application of each approach to studies of the TIME, including their advantages and challenges, and reviews the potential clinical applications. Flow cytometry and chromogenic and fluorescent multiplex IHC were used to immune profile a HER2+ breast cancer, illustrating some points. Spatial transcriptomic analysis of a luminal B breast tumor demonstrated that important additional insight can be gained from this new technique. Finally, the development of a multiplex panel to identify proliferating B cells, Tfh, and Tfr cells on the same tissue section demonstrates their co-localization in tertiary lymphoid structures.
- Published
- 2021
- Full Text
- View/download PDF
25. Single-cell transcriptome analysis reveals thyrocyte diversity in the zebrafish thyroid gland
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Michael Brand, Andreas Petzold, Anne Lefort, Vincent Detours, Gokul Kesavan, Nikolay Ninov, Meghna Shankar, Annekathrin Kränkel, Juliane Blasche, Christian Lange, Inés Garteizgogeascoa, Sabine Costagliola, Frédérick Libert, Macarena Pozo-Morales, Eski Sema Elif, Pierre Gillotay, Singh Sumeet Pal, Benoit Haerlingen, and Susanne Reinhardt
- Subjects
Population ,Thyroid Gland ,Biochemistry ,Transcriptome ,03 medical and health sciences ,0302 clinical medicine ,Single cell transcriptome ,Genetics ,medicine ,Animals ,education ,Molecular Biology ,Transcription factor ,Zebrafish ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,biology ,Gene Expression Profiling ,Thyroid ,RNA ,Articles ,Sciences bio-médicales et agricoles ,biology.organism_classification ,Cell biology ,Lymphatic system ,medicine.anatomical_structure ,Thyroid Epithelial Cells ,030217 neurology & neurosurgery ,Hormone - Abstract
The thyroid gland regulates growth and metabolism via production of thyroid hormone in follicles composed of thyrocytes. So far, thyrocytes have been assumed to be a homogenous population. To uncover heterogeneity in the thyrocyte population and molecularly characterize the non‐thyrocyte cells surrounding the follicle, we developed a single‐cell transcriptome atlas of the region containing the zebrafish thyroid gland. The 6249‐cell atlas includes profiles of thyrocytes, blood vessels, lymphatic vessels, immune cells, and fibroblasts. Further, the thyrocytes show expression heterogeneity, including bimodal expression of the transcription factor pax2a. To validate thyrocyte heterogeneity, we generated a CRISPR/Cas9‐based pax2a knock‐in line that monitors pax2a expression in the thyrocytes. A population of pax2a‐low mature thyrocytes interspersed in individual follicles can be distinguished. We corroborate heterogeneity within the thyrocyte population using RNA sequencing of pax2a‐high and pax2a‐low thyrocytes, which demonstrates 20% differential expression in transcriptome between the two subpopulations. Our results identify and validate transcriptional differences within the presumed homogenous thyrocyte population.
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- 2021
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26. Validation of Merging Techniques for Cancer Microarray Data Sets.
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Jonatan Taminau, Stijn Meganck, David Y. Weiss Solís, Wilma van Staveren, Geneviève Dom, David Venet, Hugues Bersini, Vincent Detours, and Ann Nowé
- Published
- 2009
27. Author Reply to Peer Reviews of Single-cell transcriptome analysis reveals cell-cell communication and thyrocyte diversity in the zebrafish thyroid gland
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Sumeet Pal Singh, Sabine Costagliola, Vincent Detours, Michael Brand, Christian Lange, Gokul Kesavan, Nikolay Ninov, Andreas Petzold, Juliane Bläsche, Annekathrin Kränkel, Susanne Reinhardt, Inés Garteizgogeascoa Suñer, Macarena Pozo-Morales, Sema Elif Eski, Benoit Haerlingen, Meghna Shankar, and Pierre Gillotay
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- 2020
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28. Thyroid cancer under the scope of emerging technologies
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Ligia Craciun, Pieter Demetter, Carine Maenhaut, Vincent Detours, and Maxime Tarabichi
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Biomedical Research ,Scope (project management) ,Emerging technologies ,Computer science ,Thyroid ,Cancer ,Genomics ,Continuity of Patient Care ,Medical Oncology ,medicine.disease ,Biochemistry ,Data science ,Patient care ,Endocrinology ,medicine.anatomical_structure ,Inventions ,medicine ,Humans ,Tumor growth ,Thyroid Neoplasms ,Delivery of Health Care ,Molecular Biology ,Thyroid cancer - Abstract
The vast majority of thyroid cancers originate from follicular cells. We outline outstanding issues at each step along the path of cancer patient care, from prevention to post-treatment follow-up and highlight how emerging technologies will help address them in the coming years. Three directions will dominate the coming technological landscape. Genomics will reveal tumoral evolutionary history and shed light on how these cancers arise from the normal epithelium and the genomics alteration driving their progression. Transcriptomics will gain cellular and spatial resolution providing a full account of intra-tumor heterogeneity and opening a window on the microenvironment supporting thyroid tumor growth. Artificial intelligence will set morphological analysis on an objective quantitative ground laying the foundations of a systematic thyroid tumor classification system. It will also integrate into unified representations the molecular and morphological perspectives on thyroid cancer.
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- 2022
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29. Genomic hotspots but few recurrent fusion genes in breast cancer
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Denis Larsimont, Françoise Rothé, Vincent Detours, David N Brown, David Gacquer, Roberto Salgado, Debora Fumagalli, Danai Fimereli, and Christos Sotiriou
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0301 basic medicine ,Cancer Research ,DNA Copy Number Variations ,Chromosomes, Human, Pair 20 ,Breast Neoplasms ,RNA-Seq ,Biology ,Polymorphism, Single Nucleotide ,Genome ,DNA sequencing ,Fusion gene ,03 medical and health sciences ,Breast cancer ,Genetics ,medicine ,Humans ,Gene ,Genome, Human ,Estrogen Receptor alpha ,RNA ,Genes, erbB-2 ,medicine.disease ,030104 developmental biology ,Female ,Gene Fusion ,Chromosomes, Human, Pair 17 ,Chromosomes, Human, Pair 8 ,SNP array - Abstract
The advent of next generation sequencing technologies has boosted the interest in exploring the role of fusion genes in the development and progression of solid tumors. In breast cancer, most of the detected gene fusions seem to be "passenger" events while the presence of recurrent and driver fusions is still under study. We performed RNA sequencing in 55 well-characterized breast cancer samples and 10 adjacent normal breast tissues, complemented by an analysis of SNP array data. We explored the presence of fusion genes and defined their association with breast cancer subtypes, clinical-pathologic characteristics and copy number aberrations. Overall, 370 fusions were detected across the majority of the samples. HER2+ samples had significantly more fusions than triple negative and luminal subtypes. The number of fusions was correlated with histological grade, Ki67 and tumor size. Clusters of fusion genes were observed across the genome and a significant correlation of fusions with copy number aberrations and more specifically amplifications was also revealed. Despite the large number of fusion events, only a few were recurrent, while recurrent individual genes forming fusions with different partners were also detected including the estrogen receptor 1 gene in the previously detected ESR1-CCDC170 fusion. Overall we detected novel gene fusion events while we confirmed previously reported fusions. Genomic hotspots of fusion genes, differences between subtypes and small number of recurrent fusions are the most relevant characteristics of these events in breast cancer. Further investigation is necessary to comprehend the biological significance of these fusions.
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- 2018
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30. Abstract P1-05-02: Genomic, transcriptomic and immune features of breast cancer according to the patient's body mass index at diagnosis
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David R. Brown, C Desmedt, M Maetens, Christos Sotiriou, Elia Biganzoli, G. Van den Eynden, Roberto Salgado, Vincent Detours, Marco Fornili, and Serena Nik-Zainal
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Transcriptome ,Cancer Research ,Immune system ,Breast cancer ,Oncology ,business.industry ,Medicine ,business ,Bioinformatics ,medicine.disease ,Body mass index - Abstract
This abstract was withdrawn by the authors.
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- 2017
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31. Single-cell transcriptome analysis reveals cell-cell communication and thyrocyte diversity in the zebrafish thyroid gland
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Pierre Gillotay, Meghna Shankar, Benoit Haerlingen, Sema Elif Eski, Macarena Pozo-Morales, Inés Garteizgogeascoa Suñer, Susanne Reinhardt, Annekathrin Kränkel, Juliane Bläsche, Andreas Petzold, Nikolay Ninov, Gokul Kesavan, Christian Lange, Michael Brand, Vincent Detours, Sabine Costagliola, and Sumeet Pal Singh
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Cell signaling ,education.field_of_study ,Thyroid ,Population ,Cell ,Sciences bio-médicales et agricoles ,Biology ,biology.organism_classification ,Cell biology ,Transcriptome ,medicine.anatomical_structure ,Lymphatic system ,medicine ,education ,Transcription factor ,Zebrafish - Abstract
The thyroid gland regulates growth and metabolism via production of thyroid hormone in follicles composed of thyrocytes. So far, thyrocytes have been assumed to be a homogenous population. To uncover genetic heterogeneity in the thyrocyte population, and molecularly characterize the non-thyrocyte cells surrounding the follicle, we developed a single-cell transcriptome atlas of the zebrafish thyroid gland. The 6249-cell atlas includes profiles of thyrocytes, blood vessels, lymphatic vessels, immune cells and fibroblasts. Further, the thyrocytes could be split into two sub-populations with unique transcriptional signature, including differential expression of the transcription factor pax2a. To validate thyrocyte heterogeneity, we generated a CRISPR/Cas9-based pax2a knock-in line, which demonstrated specific pax2a expression in the thyrocytes. However, a population of pax2a-low mature thyrocytes interspersed within individual follicles could be distinguished, corroborating heterogeneity within the thyrocyte population. Our results identify and validate transcriptional differences within the nominally homogenous thyrocyte population., info:eu-repo/semantics/published
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- 2020
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32. Transcriptional output, cell-type densities, and normalization in spatial transcriptomics
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Alex Spinette, Carine Maenhaut, Guy Andry, Denis Larsimont, Vincent Detours, Manuel Saiselet, Joakim Lundeberg, Ligia Craciun, Joël Rodrigues-Vitória, and Adrien Tourneur
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Normalization (statistics) ,Proto-Oncogene Proteins B-raf ,Cell type ,Transcription, Genetic ,business.industry ,Gene Expression Profiling ,Cell Count ,Cell Biology ,General Medicine ,Computational biology ,Biology ,Reference Standards ,AcademicSubjects/SCI01180 ,Sciences biomédicales ,Transcriptome ,Text mining ,Mutation ,Genetics ,Humans ,business ,Letters to the Editor ,Molecular Biology - Abstract
C. Maenhaut and V. Detours contributed equally, info:eu-repo/semantics/published
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- 2020
33. Dissecting the role of thyrotropin in the DNA damage response in human thyrocytes after 131I, γ radiation and H2O2
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Carine Maenhaut, Bernard Corvilain, David Gacquer, Laura Van Den Eeckhaute, Laure Twyffels, Aglaia Kyrilli, Vincent Detours, Anne Lefort, Frédérick Libert, Françoise Miot, Xavier De Deken, Jacques Emile Dumont, and Aurélie Strickaert
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endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,Clinical Biochemistry ,Thyrotropin ,Iodine Radioisotopes -- adverse effects ,Hydrogen Peroxide -- adverse effects ,medicine.disease_cause ,Biochemistry ,Iodine Radioisotopes ,Transcriptome ,Cell Proliferation -- physiology ,chemistry.chemical_compound ,Endocrinology ,Gene expression ,oxidative stress ,Médecine clinique [chimie clinique] ,irradiation ,TSH ,Cell Cycle ,Cell Cycle -- physiology ,Sciences bio-médicales et agricoles ,Endocrinologie ,hormones, hormone substitutes, and hormone antagonists ,endocrine system ,medicine.medical_specialty ,DNA damage ,Biochimie ,Primary Cell Culture ,Thyrotropin -- metabolism ,DNA Damage -- physiology ,Métabolisme ,Internal medicine ,medicine ,Humans ,Gene ,Cell Proliferation ,Diabétologie ,Biochemistry (medical) ,Gamma Rays -- adverse effects ,RNA ,Thyroid Epithelial Cells -- metabolism ,Hydrogen Peroxide ,chemistry ,Gamma Rays ,Thyroid Epithelial Cells ,Apoptosis ,gene expression ,DNA ,Oxidative stress ,DNA Damage - Abstract
Background: The early molecular events in human thyrocytes after 131I exposure have not yet been unravelled. Therefore, we investigated the role of TSH in the 131I-induced DNA damage response and gene expression in primary cultured human thyrocytes. Methods: Following exposure of thyrocytes, in the presence or absence of TSH, to 131I (β radiation), γradiation (3 Gy), and hydrogen peroxide (H2O2), we assessed DNA damage, proliferation, and cell-cycle status. We conducted RNA sequencing to profile gene expression after each type of exposure and evaluated the influence of TSH on each transcriptomic response. Results: Overall, the thyrocyte responses following exposure to β or γradiation and to H2O2 were similar. However, TSH increased 131I-induced DNA damage, an effect partially diminished after iodide uptake inhibition. Specifically, TSH increased the number of DNA double-strand breaks in nonexposed thyrocytes and thus predisposed them to greater damage following 131I exposure. This effect most likely occurred via Gα?q cascade and a rise in intracellular reactive oxygen species (ROS) levels. β and γradiation prolonged thyroid cell-cycle arrest to a similar extent without sign of apoptosis. The gene expression profiles of thyrocytes exposed to β/γradiation or H2O2 were overlapping. Modulations in genes involved in inflammatory response, apoptosis, and proliferation were observed. TSH increased the number and intensity of modulation of differentially expressed genes after 131I exposure. Conclusions: TSH specifically increased 131I-induced DNA damage probably via a rise in ROS levels and produced a more prominent transcriptomic response after exposure to 131I., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2020
34. miRNA expression and function in thyroid carcinomas: a comparative and critical analysis and a model for other cancers
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Vincent Detours, Danai Fimereli, Alice Augenlicht, Jacques Emile Dumont, Maxime Tarabichi, Manuel Saiselet, Carine Maenhaut, Jaime Miguel Pita, and Geneviève Dom
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0301 basic medicine ,Review ,Biology ,Bioinformatics ,thyroid ,Transcriptome ,Thyroid carcinoma ,03 medical and health sciences ,0302 clinical medicine ,Expression profile ,microRNA ,medicine ,Humans ,cancer ,Thyroid Neoplasms ,Function ,Cancer ,miRNA ,Thyroid ,function ,Gene Expression Profiling ,Biologie moléculaire ,Sciences bio-médicales et agricoles ,medicine.disease ,expression profile ,Gene expression profiling ,MicroRNAs ,030104 developmental biology ,medicine.anatomical_structure ,Oncology ,Expression (architecture) ,030220 oncology & carcinogenesis ,MiRNA ,Biologie ,Function (biology) - Abstract
As in many cancer types, miRNA expression profiles and functions have become an important field of research on non-medullary thyroid carcinomas, the most common endocrine cancers. This could lead to the establishment of new diagnostic tests and new cancer therapies. However, different studies showed important variations in their research strategies and results. In addition, the action of miRNAs is poorly considered as a whole because of the use of underlying dogmatic truncated concepts. These lead to discrepancies and limits rarely considered. Recently, this field has been enlarged by new miRNA functional and expression studies. Moreover, studies using next generation sequencing give a new view of general miRNA differential expression profiles of papillary thyroid carcinoma. We analyzed in detail this literature from both physiological and differential expression points of view. Based on explicit examples, we reviewed the progresses but also the discrepancies and limits trying to provide a critical approach of where this literature may lead. We also provide recommendations for future studies. The conclusions of this systematic analysis could be extended to other cancer types., SCOPUS: re.j, Hydra, info:eu-repo/semantics/published
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- 2016
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35. Transcriptional output, cell types densities and normalization in spatial transcriptomics
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Denis Larsimont, Adrien Tourneur, Vincent Detours, Carine Maenhaut, Joël Rodrigues-Vitória, Alex Spinette, Guy Andry, Ligia Craciun, Manuel Saiselet, and Joakim Lundeberg
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Normalization (statistics) ,Transcriptome ,Messenger RNA ,Cell type ,Spots ,Gene expression ,Computational biology ,Biology - Abstract
Spatial transcriptomics measures mRNA at hundreds of 100 micrometer-diameter spots evenly spread across 6.5×6.9 mm2 histological slices. Gene expression within each spot is commonly normalized by total read counts. However we show that the transcriptional output of individual spots reflects the number of cells they contain, hence total read counts per spot reflect relevant biology. Although per-spot read-count normalization reveals important enrichment trends, it may heavily distort cell-type-related absolute local expression and conceal important biological information.
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- 2018
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36. BRCA gene mutations do not shape the extent and organization of tumor infiltrating lymphocytes in triple negative breast cancer
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Cinzia Solinas, Denis Larsimont, Daphne T’Kint de Roodenbeke, Pushpamali De Silva, Karen Willard-Gallo, Anaïs Boisson, Alexandre de Wind, Soizic Garaud, Joel Rodrigues Vitória, Vincent Detours, Diane Marcoux, Martine Piccart-Gebhart, Gert Van den Eynden, and Ligia Craciun
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0301 basic medicine ,Adult ,Cancer Research ,Tissue Fixation ,CD3 ,Genes, BRCA2 ,Programmed Cell Death 1 Receptor ,Genes, BRCA1 ,Triple Negative Breast Neoplasms ,Gene mutation ,Germline ,B7-H1 Antigen ,03 medical and health sciences ,0302 clinical medicine ,Lymphocytes, Tumor-Infiltrating ,Humans ,Triple-negative breast cancer ,Germ-Line Mutation ,CD20 ,Paraffin Embedding ,biology ,Tumor-infiltrating lymphocytes ,Immunogenicity ,Middle Aged ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,biology.protein ,Cancer research ,Female ,CD8 - Abstract
This study investigated the prevalence of TIL subpopulations, TLS, PD-1 and PD-L1 in tumors from TNBC patients harboring wild-type or mutated BRCA1 or BRCA2 germline genes. This TNBC cohort included 85% TIL-positive (≥10%) tumors with 21% classified as TILhi (≥50%). Interestingly, the BRCAmut group had a significantly higher incidence of TILpos tumors compared to the BRCAwt group (P = 0.037). T cells were dominant in the infiltrate but no statistically significant differences were detected between BRCAwt and BRCAmut for CD3+, CD4+ and CD8+ T cells or CD20+ B cells. TLS were detected in 74% of tumors but again no significant differences between the BRCA groups. PD-1 expression was observed in 33% and PD-L1 in 53% (any cell, cut-off ≥1%) tumors for the entire TNBC cohort. PD-1 expression correlated with PD-L1 and both with TIL and TLS but was not associated with BRCA mutational status. Our analyses reveal that BRCAwt and BRCAmut TNBC are similar except for a significant increase of TILpos tumors in the BRCAmut group. While BRCA gene mutations may not directly drive immune infiltration, the greater number of TILpos tumors could signal greater immunogenicity in this group.
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- 2018
37. Factors contributing to the resistance of the thyrocyte to hydrogen peroxide
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Xavier De Deken, Emmanuel Van Den Eeckhaute, Natacha Driessens, Françoise Miot, Vincent Detours, Chiraz Ghaddhab, Olivier Hancisse, Jacques Emile Dumont, Aglaia Kyrilli, and Bernard Corvilain
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inorganic chemicals ,0301 basic medicine ,Cell type ,DNA Repair ,DNA damage ,Cell Survival ,Biochimie ,T-Lymphocytes ,Drug Resistance ,030209 endocrinology & metabolism ,Biochemistry ,03 medical and health sciences ,chemistry.chemical_compound ,Selenium ,0302 clinical medicine ,Endocrinology ,Extracellular ,Humans ,Hydrogen peroxide ,Molecular Biology ,Heme ,Cells, Cultured ,Thyroid ,chemistry.chemical_classification ,Messenger RNA ,Glutathione Peroxidase ,Glutathione peroxidase ,Biologie moléculaire ,Hydrogen Peroxide ,Endocrinologie ,Cell biology ,Up-Regulation ,030104 developmental biology ,chemistry ,Gene Expression Regulation ,Cell culture ,Organ Specificity ,Thyroid Epithelial Cells ,Antioxidant enzymes ,Heme Oxygenase-1 - Abstract
We studied the mechanism that may explain the relative resistance of thyrocytes to H2O2 compared to other cell types. Ability to degrade H2O2, glutathione peroxidase (GPx) activity, heme oxygenase-1 (HO-1) expression, cell survival and capacity to repair DNA damage after H2O2 exposure or irradiation were measured in human thyrocytes in primary culture and compared to the values obtained in human T-cells and different cell lines. Compared to other cell types, thyrocytes presented a low mortality rate after H2O2 exposure, rapidly degraded extracellular H2O2 and presented a high basal seleno-dependent GPx activity. Only in thyrocytes, H2O2 up-regulated GPx activity and expression of HO-1 mRNA. These effects were not reproduced by irradiation. DNA damage caused by H2O2 was more slowly repaired than that caused by irradiation and not repaired at all in T-cells. Our study demonstrates that the thyrocyte has specific protective mechanisms against H2O2 and its mutagenic effects., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2018
38. Human-Specific NOTCH2NL Genes Expand Cortical Neurogenesis through Delta/Notch Regulation
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Vincent Detours, Franck Polleux, Marta Wojno, Adèle Herpoel, Devesh Kumar, Roxane Van Heurck, Pierre Vanderhaeghen, David Gacquer, Angéline Bilheu, Nelle Lambert, Ikuo K. Suzuki, and Julian Cheron
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0301 basic medicine ,Cell signaling ,Biochemistry & Molecular Biology ,Notch ,SEGMENTAL DUPLICATIONS ,Notch signaling pathway ,brain development ,Biology ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,human evolution ,Cortex (anatomy) ,CEREBRAL-CORTEX ,medicine ,Progenitor ,COPY NUMBER VARIATION ,Science & Technology ,Neurogenesis ,HUMAN BRAIN EVOLUTION ,Human brain ,Cell Biology ,PYRAMIDAL NEURONS ,Sciences bio-médicales et agricoles ,MOUSE NEOCORTEX ,NERVOUS-SYSTEM ,Corticogenesis ,neurogenesis ,030104 developmental biology ,medicine.anatomical_structure ,PROGENITOR CELLS ,Cerebral cortex ,cerebral cortex ,Neuroscience ,Life Sciences & Biomedicine ,PLURIPOTENT STEM-CELLS ,030217 neurology & neurosurgery ,RADIAL GLIA - Abstract
The cerebral cortex underwent rapid expansion and increased complexity during recent hominid evolution. Gene duplications constitute a major evolutionary force, but their impact on human brain development remains unclear. Using tailored RNA sequencing (RNA-seq), we profiled the spatial and temporal expression of hominid-specific duplicated (HS) genes in the human fetal cortex and identified a repertoire of 35 HS genes displaying robust and dynamic patterns during cortical neurogenesis. Among them NOTCH2NL, human-specific paralogs of the NOTCH2 receptor, stood out for their ability to promote cortical progenitor maintenance. NOTCH2NL promote the clonal expansion of human cortical progenitors, ultimately leading to higher neuronal output. At the molecular level, NOTCH2NL function by activating the Notch pathway through inhibition of cis Delta/Notch interactions. Our study uncovers a large repertoire of recently evolved genes active during human corticogenesis and reveals how human-specific NOTCH paralogs may have contributed to the expansion of the human cortex. Human-specific NOTCH2NL expands cortical progenitors and neuronal output and thus may have contributed to the expansion of the human cortex., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2018
39. Principles Governing A-to-I RNA Editing in the Breast Cancer Transcriptome
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Adam Shlien, Denis Larsimont, Martine Piccart, Marc Abramowicz, Naima Kheddoumi, David Gacquer, Debora Fumagalli, Karen Willard-Gallo, David N Brown, Christine Desmedt, Tomasz Konopka, Vincent Detours, Anne Lefort, Kornelia Polyak, Frédérick Libert, Françoise Rothé, Christos Sotiriou, Peter J. Campbell, and Roberto Salgado
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Molecular Sequence Data ,Gene Dosage ,Apoptosis ,RNA-binding protein ,Computational biology ,Biology ,Gene dosage ,General Biochemistry, Genetics and Molecular Biology ,Article ,Small hairpin RNA ,Transcriptome ,03 medical and health sciences ,Transduction (genetics) ,0302 clinical medicine ,Breast cancer ,medicine ,Humans ,Gene silencing ,RNA-Binding Proteins -- genetics ,lcsh:QH301-705.5 ,Cell Proliferation ,030304 developmental biology ,Genetics ,0303 health sciences ,Messenger RNA ,Base Sequence ,Médecine pathologie humaine ,Breast Neoplasms -- genetics ,Sciences bio-médicales et agricoles ,medicine.disease ,3. Good health ,Cancérologie ,lcsh:Biology (General) ,RNA editing ,030220 oncology & carcinogenesis ,ADAR ,MCF-7 Cells ,Female ,RNA Editing ,Adenosine Deaminase -- genetics ,Interferon Type I -- genetics -- metabolism ,Interferon type I ,medicine.drug - Abstract
Summary Little is known about how RNA editing operates in cancer. Transcriptome analysis of 68 normal and cancerous breast tissues revealed that the editing enzyme ADAR acts uniformly, on the same loci, across tissues. In controlled ADAR expression experiments, the editing frequency increased at all loci with ADAR expression levels according to the logistic model. Loci-specific “editabilities,” i.e., propensities to be edited by ADAR, were quantifiable by fitting the logistic function to dose-response data. The editing frequency was increased in tumor cells in comparison to normal controls. Type I interferon response and ADAR DNA copy number together explained 53% of ADAR expression variance in breast cancers. ADAR silencing using small hairpin RNA lentivirus transduction in breast cancer cell lines led to less cell proliferation and more apoptosis. A-to-I editing is a pervasive, yet reproducible, source of variation that is globally controlled by 1q amplification and inflammation, both of which are highly prevalent among human cancers., Graphical Abstract, Highlights • A-to-I editing is a major source of mRNA variability in breast and other cancers • RNA editing is globally controlled by tumor interferon and ADAR copy number • Both these factors are highly prevalent among human cancers • RNA editing sites might represent a new class of therapeutic targets, Fumagalli et al. identify the principles governing A-to-I editing in breast and potentially all types of cancer, demonstrating that A-to-I editing is a pervasive source of transcriptome variation that is mainly controlled by two factors, 1q amplification and inflammation, both of which are highly prevalent among human cancers.
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- 2015
40. Revisiting the transcriptional analysis of primary tumours and associated nodal metastases with enhanced biological and statistical controls: application to thyroid cancer
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Maxime Tarabichi, Carine Maenhaut, Vincent Detours, Manuel Saiselet, Christophe Trésallet, Guy Andry, Chính T. Hoàng, and Denis Larsimont
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Cancer Research ,Pathology ,medicine.medical_specialty ,Disease outcome ,lymph nodes ,Regional lymph node metastasis ,medicine ,Humans ,Transcriptome profiling ,papillary thyroid cancer ,Thyroid Neoplasms ,Transcriptional analysis ,Thyroid cancer ,Organ system ,Full Paper ,business.industry ,Gene Expression Profiling ,Nodal metastasis ,Neoplasms, Second Primary ,Anatomy ,Sciences bio-médicales et agricoles ,medicine.disease ,nodal metastasis ,Oncology ,Case-Control Studies ,Lymphatic Metastasis ,Transcriptome ,business ,transcriptome - Abstract
Transcriptome profiling has helped characterise nodal spread. The interpretation of these data, however, is not without ambiguities., C. Maenhaut and V. Detours contributed equally, info:eu-repo/semantics/published
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- 2015
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41. Intratumor heterogeneity and clonal evolution in an aggressive papillary thyroid cancer and matched metastases
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Carine Maenhaut, Maxime Tarabichi, Christophe Trésallet, Gil Tomás, Frédérique Savagner, David Gacquer, Tomasz Konopka, Vincent Detours, Danai Fimereli, Guy Andry, Myriam Decaussin-Petrucci, Soazig Le Pennec, and Denis Larsimont
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Male ,Cancer Research ,Pathology ,medicine.medical_specialty ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,Loss of Heterozygosity ,Polymorphism, Single Nucleotide ,Somatic evolution in cancer ,Papillary thyroid cancer ,Clonal Evolution ,Loss of heterozygosity ,symbols.namesake ,Endocrinology ,medicine ,Humans ,Thyroid Neoplasms ,Thyroid cancer ,Aged ,Sanger sequencing ,Massive parallel sequencing ,business.industry ,Carcinoma ,Thyroid ,medicine.disease ,Primary tumor ,Carcinoma, Papillary ,medicine.anatomical_structure ,Oncology ,Thyroid Cancer, Papillary ,Lymphatic Metastasis ,Cancer research ,symbols ,Transcriptome ,business ,Chromosomes, Human, Pair 19 - Abstract
The contribution of intratumor heterogeneity to thyroid metastatic cancers is still unknown. The clonal relationships between the primary thyroid tumors and lymph nodes (LN) or distant metastases are also poorly understood. The objective of this study was to determine the phylogenetic relationships between matched primary thyroid tumors and metastases. We searched for non-synonymous single-nucleotide variants (nsSNVs), gene fusions, alternative transcripts, and loss of heterozygosity (LOH) by paired-end massively parallel sequencing of cDNA (RNA-Seq) in a patient diagnosed with an aggressive papillary thyroid cancer (PTC). Seven tumor samples from a stage IVc PTC patient were analyzed by RNA-Seq: two areas from the primary tumor, four areas from two LN metastases, and one area from a pleural metastasis (PLM). A large panel of other thyroid tumors was used for Sanger sequencing screening. We identified seven new nsSNVs. Some of these were early events clonally present in both the primary PTC and the three matched metastases. Other nsSNVs were private to the primary tumor, the LN metastases and/or the PLM. Three new gene fusions were identified. A novel cancer-specific KAZN alternative transcript was detected in this aggressive PTC and in dozens of additional thyroid tumors. The PLM harbored an exclusive whole-chromosome 19 LOH. We have presented the first, to our knowledge, deep sequencing study comparing the mutational spectra in a PTC and both LN and distant metastases. This study has yielded novel findings concerning intra-tumor heterogeneity, clonal evolution and metastases dissemination in thyroid cancer.
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- 2015
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42. Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions
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Roxane Van Heurck, Franck Polleux, Angéline Bilheu, Pierre Vanderhaeghen, Devesh Kumar, Adèle Herpoel, Marta Wojno, Julian Cheron, Ikuo K. Suzuki, Vincent Detours, and David Gacquer
- Subjects
medicine.anatomical_structure ,Cerebral cortex ,Evolutionary biology ,Cortex (anatomy) ,Neurogenesis ,medicine ,Notch signaling pathway ,Human brain ,Biology ,Gene ,Developmental biology ,Function (biology) - Abstract
SummaryThe human cerebral cortex has undergone rapid expansion and increased complexity during recent evolution. Hominid-specific gene duplications represent a major driving force of evolution, but their impact on human brain evolution remains unclear. Using tailored RNA sequencing (RNAseq), we profiled the spatial and temporal expression of Hominid-specific duplicated (HS) genes in the human fetal cortex, leading to the identification of a repertoire of 36 HS genes displaying robust and dynamic patterns during cortical neurogenesis. Among these we focused on NOTCH2NL, previously uncharacterized HS paralogs of NOTCH2. NOTCH2NL promote the clonal expansion of human cortical progenitors by increasing self-renewal, ultimately leading to higher neuronal output. NOTCH2NL function by activating the Notch pathway, through inhibition of Delta/Notch interactions. Our study uncovers a large repertoire of recently evolved genes linking genomic evolution to human brain development, and reveals how hominin-specific NOTCH paralogs may have contributed to the expansion of the human cortex.
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- 2017
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43. Distinctive Desmoplastic 3D Morphology Associated With BRAFV600E in Papillary Thyroid Cancers
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Ligia Craciun, Vincent Detours, Aline Antoniou, Nicolas De Saint Aubain, David Gacquer, Jacques Emile Dumont, Thierry Cielen, Denis Larsimont, Ioanna Laïos, Maxime Tarabichi, Guy Andry, Carine Maenhaut, and Soazig Le Pennec
- Subjects
0301 basic medicine ,Pathology ,Endocrinology, Diabetes and Metabolism ,Clinical Biochemistry ,Thyroid Gland ,Gene Expression ,Biochemistry ,Receptors, G-Protein-Coupled ,0302 clinical medicine ,Endocrinology ,Fibrosis ,Exome ,Thyroid cancer ,Thyroid ,Cell Differentiation ,Anatomy ,Middle Aged ,Primary tumor ,Short distance ,medicine.anatomical_structure ,Thyroid Cancer, Papillary ,030220 oncology & carcinogenesis ,Female ,Proto-Oncogene Proteins B-raf ,medicine.medical_specialty ,Tumor cells ,Biology ,Thyroid carcinoma ,03 medical and health sciences ,Fibrous stroma ,Stroma ,Internal medicine ,Cancer genome ,Carcinoma ,Tumor Expansion ,medicine ,Humans ,Tumor growth ,Thyroid Neoplasms ,Cell Proliferation ,Whole Genome Sequencing ,Genome, Human ,Biochemistry (medical) ,medicine.disease ,Carcinoma, Papillary ,030104 developmental biology ,Ki-67 Antigen ,Mutation ,Cancer research ,Stromal Cells - Abstract
Context Although 60% of papillary thyroid carcinomas are BRAFV600E mutant (PTCV600E), the increased aggressiveness of these cancers is still debated. Objective For PTCV600E we aimed to further characterize the extent of the stroma and its activation, the three-dimensional (3D) tumor-stroma interface, and the proliferation rates of tumor and stromal fibroblasts. Design We analyzed exomes, transcriptomes, and images of 364 papillary thyroid carcinoma (PTCs) from The Cancer Genome Atlas (TCGA), including 211 PTCV600E; stained 22 independent PTCs for BRAFV600E and Ki67; sequenced the exomes and stained BRAFV600E in 5 primary tumor blocks and 4 nodal metastases from one patient with PTCV600E; and reconstructed the 3D volumes of one tumor and one metastatic block at histological resolution. Results In TCGA, BRAFV600E was associated with higher expression of proliferation markers and lower expression of thyroid differentiation markers, independently of tumor purity. Moreover, PTCV600E, in line with their overall lower purity, also had higher expression of fibroblast- and T cell-associated genes and presented more fibrosis. Tumor cells that appeared disconnected on two-dimensional histological slices were revealed to be part of a unique tumor component in the 3D reconstructed microvolumes, and they formed a surprisingly complex connected space, infiltrating a proliferative stroma. Finally, in our PTC set, both stromal fibroblasts and tumor cells presented higher proliferation rates in PTCV600E. Conclusions Our results support the increased aggressiveness associated with BRAFV600E in PTC and shed light on the important role of the stroma in tumor expansion. The greater and more active fibrotic component predicts better efficiency of combined targeted treatments, as previously proposed for melanomaV600E.
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- 2017
44. A gene expression signature distinguishes normal tissues of sporadic and radiation-induced papillary thyroid carcinomas
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Maxime Tarabichi, Geneviève Dom, T Bogdanova, Jacques Emile Dumont, Carine Maenhaut, Geraldine A. Thomas, Vincent Detours, Barbara Jarzab, Malgorzata Oczko-Wojciechowska, and Kristian Unger
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Cancer Research ,Pathology ,Neoplasms, Radiation-Induced ,Thyroid Gland ,CHILDHOOD ,Thyrotropin ,Radiotoxicologie ,thyroid ,Papillary thyroid cancer ,Prospective Studies ,Child ,Thyroid cancer ,RISK ,Reverse Transcriptase Polymerase Chain Reaction ,Thyroid ,CANCER ,humanities ,medicine.anatomical_structure ,Real-time polymerase chain reaction ,Oncology ,Thyroid Cancer, Papillary ,Child, Preschool ,Disease Susceptibility ,Ukraine ,Life Sciences & Biomedicine ,Iodine ,medicine.medical_specialty ,Adolescent ,Biology ,Real-Time Polymerase Chain Reaction ,Chernobyl ,Diagnosis, Differential ,Thyroid carcinoma ,Young Adult ,AGE ,Biomarkers, Tumor ,medicine ,Carcinoma ,Humans ,Thyroid Neoplasms ,EXPOSURE ,Science & Technology ,Gene Expression Profiling ,Physiologie pathologique ,Infant ,Cancer ,Genetics and Genomics ,PROFILES ,medicine.disease ,Carcinoma, Papillary ,Diet ,radiation ,Gene expression profiling ,Chernobyl Nuclear Accident ,BRAF MUTATIONS ,gene expression ,Biologie cellulaire ,POST-CHERNOBYL ,Transcriptome - Abstract
Background:Papillary thyroid cancer (PTC) incidence increased dramatically in children after the Chernobyl accident, providing a unique opportunity to investigate the molecular features of radiation-induced thyroid cancer. In contrast to the previous studies that included age-related confounding factors, we investigated mRNA expression in PTC and in the normal contralateral tissues of patients exposed and non-exposed to the Chernobyl fallout, using age- and ethnicity-matched non-irradiated cohorts.Methods:Forty-five patients were analysed by full-genome mRNA microarrays. Twenty-two patients have been exposed to the Chernobyl fallout; 23 others were age-matched and resident in the same regions of Ukraine, but were born after 1 March 1987, that is, were not exposed to (131)I.Results:A gene expression signature of 793 probes corresponding to 403 genes that permitted differentiation between normal tissues from patients exposed and from those who were not exposed to radiation was identified. The differences were confirmed by quantitative RT-PCR. Many deregulated pathways in the exposed normal tissues are related to cell proliferation.Conclusion:Our results suggest that a higher proliferation rate in normal thyroid could be related to radiation-induced cancer either as a predisposition or as a consequence of radiation. The signature allows the identification of radiation-induced thyroid cancers.British Journal of Cancer advance online publication, 24 July 2012; doi:10.1038/bjc.2012.302 www.bjcancer.com., JOURNAL ARTICLE, SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2012
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45. A general method to derive robust organ-specific gene expression-based differentiation indices: application to thyroid cancer diagnostic
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Carine Maenhaut, Vincent Detours, Maxime Tarabichi, Thomas J. Fahey, Gil Tomás, Geneviève Dom, David Gacquer, Aline Hebrant, Xavier M. Keutgen, and Jacques Emile Dumont
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Adenoma ,endocrine system ,Cancer Research ,Support Vector Machine ,endocrine system diseases ,Thyrotropin ,Biology ,Thyroid Carcinoma, Anaplastic ,Diagnosis, Differential ,Thyroid carcinoma ,Transcriptome ,Proliferating Cell Nuclear Antigen ,Genetics ,medicine ,Carcinoma ,Thyroid Neoplasms ,Molecular Biology ,Thyroid cancer ,Cell Proliferation ,Oligonucleotide Array Sequence Analysis ,Decision Trees ,Thyroid ,Cancer ,Cell Dedifferentiation ,medicine.disease ,Carcinoma, Papillary ,Cell Transformation, Neoplastic ,medicine.anatomical_structure ,ROC Curve ,Organ Specificity ,Thyroid Cancer, Papillary ,Area Under Curve ,Immunology ,Cancer research ,Algorithms ,Hormone - Abstract
Differentiation is central to development, while dedifferentiation is central to cancer progression. Hence, a quantitative assessment of differentiation would be most useful. We propose an unbiased method to derive organ-specific differentiation indices from gene expression data and demonstrate its usefulness in thyroid cancer diagnosis. We derived a list of thyroid-specific genes by selecting automatically those genes that are expressed at higher level in the thyroid than in any other organ in a normal tissue's genome-wide gene expression compendium. The thyroid index of a tissue was defined as the median expression of these thyroid-specific genes in that tissue. As expected, the thyroid index was inversely correlated with meta-PCNA, a proliferation metagene, across a wide range of thyroid tumors. By contrast, the two indices were positively correlated in a time course of thyroid-stimulating hormone (TSH) activation of primary thyrocytes. Thus, the thyroid index captures biological information not integrated by proliferation rates. The differential diagnostic of follicular thyroid adenomas and follicular thyroid carcinoma is a notorious challenge for pathologists. The thyroid index discriminated them as accurately as did machine-learning classifiers trained on the genome-wide cancer data. Hence, although it was established exclusively from normal tissue data, the thyroid index integrates the relevant diagnostic information contained in tumoral transcriptomes. Similar results were obtained for the classification of the follicular vs classical variants of papillary thyroid cancers, that is, tumors dedifferentiating along a different route. The automated procedures demonstrated in the thyroid are applicable to other organs.
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- 2012
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46. Abstract 3801: Functional relevance of A-to-I RNA editing on the immune response in breast cancer
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Christos Sotiriou, Véronique Kruys, Vincent Detours, Debora Fumagalli, Floriane Dupont, Françoise Rothé, David Venet, and Florian Clatot
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Small hairpin RNA ,Cancer Research ,Transduction (genetics) ,RNA silencing ,Immune system ,Oncology ,RNA editing ,ADAR ,MDA5 ,Transfection ,Biology ,Cell biology - Abstract
INTRODUCTION: RNA editing is a post-transcriptional modification that changes double stranded RNA sequences (dsRNA). The most common way of editing in humans is the Adenosine-to-Inosine type, which is catalyzed by members of the ADAR enzymes family. A-to-I RNA editing has been shown to be essential for normal tissue development but also plays a crucial role in many cancers. We have notably shown that in breast cancer the editing frequency is increased in tumors as compared to normal tissue and correlates with ADAR expression. We also showed that type I IFN response and ADAR DNA copy number together explain 53% of ADAR expression in breast cancers. Moreover, the implication of ADAR-mediated RNA editing in preventing the sensing of endogenous dsRNA leading to inhibition of the immune response has been recently reported. ADAR-mediated RNA editing may play a crucial role in tumor progression by modulating immune response through the dsRNA sensing pathway. Here, we aim to assess the influence of ADAR-mediated RNA editing in the sensing of endogenous dsRNA and the immune response in breast cancer. MATERIAL & METHODS: ADAR expression was modulated in MDAMB231 breast cancer cell line using shRNA lentiviral transduction and lentiviral plasmid transduction for ADAR inhibition and ADAR wild-type and editing-deficient mutant overexpression respectively. ADAR expression was assessed by RTqPCR/Western blotting. dsRNA level was evaluated by immunofluorescence using the dsRNA-specific J2 antibody (Scicons). RESULTS: Poly I:C transfection, mimicking dsRNAs, as well as IFN Type I exposure induced the immune response in BC cell lines, in particular it increases the expression of RIG-I, MDA5 and IRF7 involved in the dsRNA sensing pathway. DNMTi treatment, known as an inducer of dsRNA level, also activated cytosolic dsRNA response in these cells in a dose dependent manner. In order to assess the role of ADAR-mediated RNA editing in the activation of the dsRNA sensing pathway, we exposed MDAMB231 cell lines in which ADAR expression was modulated to DNMTi. A wide range of doses of DNMTi, from 0.3 to 50μM, and time of exposure, from 3h to 72h, were tested. The cytosolic dsRNA pathway was induced in a dose dependent manner after DNMTi exposure. However, no effect of ADAR modulation on the activation of the pathway was observed. No difference in dsRNA levels was observed after activation of the immune pathway by DNMTi or IFN exposure, nor after ADAR modulation. CONCLUSION & PERSPECTIVES: dsRNA pathway activation by DNMTi, poly I:C transfection or IFN Type I treatment is not dependent of ADAR in MDAMB231 cell lines. Moreover, in contrast to data in colorectal cell lines, our data suggest that DNMTi exposure does not increase cytosolic dsRNA level. Citation Format: Floriane Dupont, Florian Clatot, David Venet, Véronique Kruys, Debora Fumagalli, Vincent Detours, Françoise Rothé, Christos Sotiriou. Functional relevance of A-to-I RNA editing on the immune response in breast cancer [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 3801.
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- 2018
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47. Gene expression and the biological phenotype of papillary thyroid carcinomas
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Mykola Tronko, Laurent Delys, Brigitte Franc, Carine Maenhaut, Jacques Emile Dumont, Vincent Detours, Frédérick Libert, Geraldine Thomas, and T Bogdanova
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Cancer Research ,Microarray ,Biology ,medicine.disease_cause ,Transcriptome ,Epidermal growth factor ,Gene expression ,Genetics ,medicine ,Humans ,Neoplasm Invasiveness ,Thyroid Neoplasms ,Genes, Immediate-Early ,Molecular Biology ,Annexin A2 ,Oligonucleotide Array Sequence Analysis ,Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,S100 Proteins ,JNK Mitogen-Activated Protein Kinases ,Phenotype ,Carcinoma, Papillary ,Gene expression profiling ,Immunology ,Cancer research ,Carcinogenesis ,Software ,Signal Transduction - Abstract
The purpose of this paper is to correlate the molecular phenotype of papillary thyroid carcinoma (PTC) to their biological pathology. We hybridized 26 PTC on microarrays and showed that nearly 44% of the transcriptome was regulated in these tumors. We then combined our data set with two published PTC microarray studies to produce a platform- and study-independent list of PTC-associated genes. We further confirmed the mRNA regulation of 15 genes from this list by quantitative reverse transcription-PCR. Analysis of this list with statistical tools led to several conclusions: (1) there is a change in cell population with an increased expression of genes involved in the immune response, reflecting lymphocyte infiltration in the tumor compared to the normal tissue. (2) The c-jun N-terminal kinase pathway is activated by overexpression of its components. (3) The activation of ERKK1/2 by genetic alterations is supplemented by activation of the epidermal growth factor but not of the insulin-like growth factor signaling pathway. (4) There is a downregulation of immediate early genes. (5) We observed an overexpression of many proteases in accordance with tumor remodeling, and suggested a probable role of S100 proteins and annexin A2 in this process. (6) Numerous overexpressed genes favor the hypothesis of a collective migration mode of tumor cells.
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- 2007
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48. New global analysis of the microRNA transcriptome of primary tumors and lymph node metastases of papillary thyroid cancer
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Myriam Decaussin-Petrucci, Alex Spinette, Ligia Craciun, Carine Maenhaut, Guy Andry, Manuel Saiselet, David Gacquer, and Vincent Detours
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Male ,Small RNA ,endocrine system diseases ,Papillary ,Sciences biomédicales en général ,Metastasis ,Papillary thyroid cancer ,Transcriptome ,isomiR ,Lymph node ,Thyroid cancer ,Cancer ,Thyroid ,microRNA ,miRNome ,High-Throughput Nucleotide Sequencing ,MicroRNA ,Middle Aged ,Sciences bio-médicales et agricoles ,Prognosis ,Gene Expression Regulation, Neoplastic ,medicine.anatomical_structure ,Thyroid Cancer, Papillary ,Lymphatic Metastasis ,Female ,Biologie ,Research Article ,Biotechnology ,Adult ,MiRNome ,Biotechnologie ,Biology ,IsomiR ,medicine ,Genetics ,Humans ,Thyroid Neoplasms ,Aged ,Gene Expression Profiling ,Carcinoma ,medicine.disease ,Carcinoma, Papillary ,Gene expression profiling ,MicroRNAs ,Mutation ,Cancer research ,Lymph Nodes - Abstract
Background: Papillary Thyroid Cancer (PTC) is the most prevalent type of endocrine cancer. Its incidence has rapidly increased in recent decades but little is known regarding its complete microRNA transcriptome (miRNome). In addition, there is a need for molecular biomarkers allowing improved PTC diagnosis. Methods: We performed small RNA deep-sequencing of 3 PTC, their matching normal tissues and lymph node metastases (LNM). We designed a new bioinformatics framework to handle each aspect of the miRNome: whole expression profiles, isomiRs distribution, non-templated additions distributions, RNA-editing or mutation. Results were validated experimentally by qRT-PCR on normal samples, tumors and LNM from 14 independent patients and in silico using the dataset from The Cancer Genome Atlas (small RNA deepsequencing of 59 normal samples, 495 PTC, and 8 LNM). Results: We performed small RNA deep-sequencing of 3 PTC, their matching normal tissues and lymph node metastases (LNM). We designed a new bioinformatics framework to handle each aspect of the miRNome: whole expression profiles, isomiRs distribution, non-templated additions distributions, RNA-editing or mutation. Results were validated experimentally by qRT-PCR on normal samples, tumors and LNM from 14 independent patients and in silico using the dataset from The Cancer Genome Atlas (small RNA deep-sequencing of 59 normal samples, 495 PTC, and 8 LNM). We confirmed already described up-regulations of microRNAs in PTC, such as miR-146b-5p or miR-222-3p, but we also identified down-regulated microRNAs, such as miR-7-5p or miR-30c-2-3p. We showed that these down-regulations are linked to the tumorigenesis process of thyrocytes. We selected the 14 most down-regulated microRNAs in PTC and we showed that they are potential biomarkers of PTC samples. Nevertheless, they can distinguish histological classical variants and follicular variants of PTC in the TCGA dataset. In addition, 12 of the 14 down-regulated microRNAs are significantly less expressed in aggressive PTC compared to non-aggressive PTC. We showed that the associated aggressive expression profile is mainly due to the presence of the BRAF V600E mutation. In general, primary tumors and LNM presented similar microRNA expression profiles but specific variations like the down-regulation of miR-7-2-3p and miR-30c-2-3p in LNM were observed. Investigations of the 5p-to-3p arm expression ratios, non-templated additions or isomiRs distributions revealed no major implication in PTC tumorigenesis process or LNM appearance. Conclusions: Our results showed that down-regulated microRNAs can be used as new potential common biomarkers of PTC and to distinguish main subtypes of PTC. MicroRNA expressions can be linked to the development of LNM of PTC. The bioinformatics framework that we have developed can be used as a starting point for the global analysis of any microRNA deep-sequencing data in an unbiased way., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2015
49. Comment on 'Variation in cancer risk among tissues can be explained by the number of stem cell divisions'
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Maxime Tarabichi and Vincent Detours
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Oncology ,medicine.medical_specialty ,Specific risk ,Biology ,medicine.disease ,Vaccination ,Variation (linguistics) ,Stem cell division ,Hepatocellular carcinoma ,Internal medicine ,Primary prevention ,Immunology ,medicine ,Stem cell ,Cancer risk - Abstract
Tomasetti and Vogelstein (Science 347, 78–81, 2015) claimed that “primary prevention measures are not likely to be very effective” for many cancers because they arise mostly from random mutations fixed during stem cell division, independently of specific genetic or environmental factors. We demonstrate that their calculation for hepatocellular carcinomas overlooked a major subset of tumors proven to be preventable through vaccination. The problem, which is not limited to hepatocellular carcinoma, arises from the general reliance of their analysis on average USA incidences and the omission of incidences in specific risk groups.
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- 2015
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50. No significant viral transcription detected in whole breast cancer transcriptomes
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Debora Fumagalli, Vincent Detours, Roberto Salgado, Christos Sotiriou, Denis Larsimont, Danai Fimereli, Françoise Rothé, and David Gacquer
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Adult ,Pathology ,medicine.medical_specialty ,Cancer Research ,Herpesvirus 4, Human ,Transcription, Genetic ,In silico ,viruses ,Merkel cell polyomavirus ,RNA-Seq ,Breast Neoplasms ,medicine.disease_cause ,DNA sequencing ,Transcriptome ,Breast cancer ,medicine ,Genetics ,Humans ,Exome ,Virus discovery ,Exome sequencing ,Aged ,DNA Tumor Viruses ,Hepatitis B virus ,Aged, 80 and over ,biology ,business.industry ,Middle Aged ,biology.organism_classification ,Virology ,Cancérologie ,Oncology ,Next-generation sequencing ,Female ,RNA-seq ,business ,Biologie ,Research Article - Abstract
Background: Studies evaluating the presence of viral sequences in breast cancer (BC), including various strains of human papillomavirus and human herpes virus, have yielded conflicting results. Most were based on RT-PCR and in situ hybridization. Methods: In this report we searched for expressed viral sequences in 58 BC transcriptomes using five distinct in silico methods. In addition, we complemented our RNA sequencing results with exome sequencing, PCR and immunohistochemistry (IHC) analyses. A control sample was used to test our in silico methods. Results: All of the computational methods correctly detected viral sequences in the control sample. We identified a small number of viral sequences belonging to human herpesvirus 4 and 6 and Merkel cell polyomavirus. The extremely low expression levels-two orders of magnitude lower than in a typical hepatitis B virus infection in hepatocellular carcinoma-did not suggest active infections. The presence of viral elements was confirmed in sample-matched exome sequences, but could not be confirmed by PCR or IHC. Conclusions: Our results show that no viral sequences are expressed in significant amounts in the BC investigated. The presence of non-transcribed viral DNA cannot be excluded., SCOPUS: ar.j, Hydra, info:eu-repo/semantics/published
- Published
- 2015
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