11 research outputs found
Tumeurs mésenchymateuses utérines associées à des translocations : du nouveau sans oublier l’ancien. Une approche diagnostique intégrée
No full textCette revue se concentre sur les entités mésenchymateuses utérines présentant sur le plan moléculaire une altération unique, nécessaire et suffisante à la tumorigénèse et à la progression tumorale. L’ensemble de ces entités ont en commun ce que l’on nomme un profil génomique simple, terme recoupant l’absence de remaniements chromosomiques significatifs objectivables en CGH Array (délétions, gains, amplifications….) et un faible nombre de mutations (« low mutational burden »). Certaines de ces entités diagnostiques sont connues et bien décrites depuis longtemps en dehors de la sphère gynécologique. On peut s’interroger sur les raisons pour lesquelles la pathologie utérine mésenchymateuse accuse un certain retard par rapport à la pathologie des tissus mous extra gynécologique. Comment expliquer que les tumeurs myofibroblastiques inflammatoires font l’objet de riches descriptions cliniques et morphologiques depuis les années 70 tandis que les premières séries utérines ad hoc n’apparaissent qu’au début des années 2000 ? Les progrès exponentiels et la démocratisation des techniques de biologie moléculaire et de séquençage ARN expliquent en partie ce différentiel dans la mise au jour d’entités diagnostiques nouvelles. Il semble également que la prépondérance effective des lésions musculaires lisses et leurs grandes richesses morphologiques ait en partie occulté l’éventail des diagnostics différentiels envisagés en pathologie utérine. On peut par ailleurs supposer que la facilité à la fois en termes de geste technique, d’accessibilité et de prise de décision thérapeutique à la procédure d’hystérectomie a en partie tronqué nos connaissances sur le potentiel évolutif et l’histoire naturelle de ces lésions, guéries par le geste chirurgical. Ainsi en parcourant cette revue, le lecteur pourra constater que pour nombre d’entités la question de la terminologie « bénin vs malin » n’est pas tranchée et que les outils morphologiques et/ou moléculaires permettant une stratification pronostique fiable sont en cours d’évaluation et amenés à évoluer. Le manque de recul clinique pour beaucoup de ces entités récentes appelle à la prudence, passant par l’utilisation de la terminologie « potentiel de malignité indéterminé ». Ce manque de recul clinique illustre le retard à combler en pathologie mésenchymateuse utérine, retard qui ne pourra être rattrapé qu’en généralisant auprès des pathologistes la richesse du spectre diagnostique des lésions utérines et en déconstruisant l’idée d’une hégémonie des lésions musculaires lisses. Nous espérons que cette revue ne soit pas qu’un simple inventaire des nouvelles entités diagnostiques et moléculaires, mais permette également d’accroitre la vigilance de tout pathologiste amené à prendre en charge une lésion utérine et à lui donner les outils nécessaires pour élargir son spectre de diagnostics différentiels. C’est en améliorant en tant que communautés scientifiques nos connaissances que nous pourrons accumuler les données cliniques nécessaires à une meilleure caractérisation de ces lésions et donc à une prise en charge adéquate de ces patientes. L’enjeu thérapeutique sur le court terme est déjà appréciable à travers l’utilisation de thérapies ciblées. Par exemple les inhibiteurs de ALK dans les tumeurs myofibroblastiques inflammatoires, les inhibiteurs de tyrosine kinase dans les sarcomes COL1A::PDGFB réarrangés, les inhibiteurs de la voie mTOR ou MET dans les PEComes…Face au bouleversement des paradigmes diagnostiques apporté par la biologie moléculaire et particulièrement par le RNAseq, l’étape suivante sera de reclasser les nouvelles entités selon l’évolution clinique, les données intégrées morphologiques, immunohistochimiques et moléculaires. Une avancée majeure consistera dans l’identification de biomarqueurs immunohistochimiques qui permettront une approche diagnostique plus immédiate, sans les temps d’attente des techniques moléculaires, permettant une diffusion ubiquitaire dans les laboratoires de pathologie.[Translocation-associated uterine mesenchymal tumors: The new without forgetting the old. An integrated diagnostic approach]. This review focuses on uterine mesenchymal tumors that are defined on a molecular level by a single and unique genetic alteration, that is somehow necessary and sufficient to allow tumor growth and progression. Although diverse from a clinical, morphological and immunohistochemical point of view, the different entities we are going to talk about share both a simple genomic profile with a low number of chromosomal alterations observed by CGH Array (few deletions, gains or amplifications...) and a low mutational burden observed by sequencing technics. Some of these entities are already well known and described in the literature when found outside of the uterus and gynecological tract. It remains intriguing that uterine mesenchymal pathology has been lagging behind when compared to its extrauterine counterpart. How can we explain that when it comes to inflammatory myofibroblastic tumors, abundant numbers of articles have been published since the 70's, but it was only in the early 2000s that the first relevant descriptions of this tumor in the uterus emerged? Certainly, the increased accuracy, availability, and use of molecular biology technics and in particular RNA sequencing in the area of uterine pathology can partly explain the reduction of the gap between soft tissue and uterine pathology we currently observe. Other reasons explaining this gap may be the high prevalence of smooth muscle tumors in the uterus and the abounding diversity of their morphological aspects, which may have partly eclipsed the array of differential diagnoses. Last but not least, one can hypothesize that the relative "simplicity" of hysterectomy procedures, referring to their safety and accessibility, has cured most of the lesions and partly clouded our knowledge regarding the biological potential and natural history of these newly described entities. As a consequence of this situation, our reader will often encounter the wording "uncertain malignant potential", as for some of these rare entities, evidence to establish reliable prognostic variables is still insufficient. We hope this review to be a useful tool to guide pathologists through the diversity and complexity of uterine mesenchymal tumors. As a scientific and medical community, sharing this knowledge will help us to collectively raise our vigilance and awareness by expanding the array of our differential diagnoses. We hope this will lead to more cases being accurately diagnosed, and ultimately, to a deeper knowledge regarding the biological potential and clinical evolution of these tumors. From a therapeutical point of view, the consequences of an accurate diagnosis for the patient are already appreciable through the use of targeted therapy. Examples include: ALK inhibitors in inflammatory myofibroblastic tumor, tyrosine-kinase inhibitors in COL1A::PDGFB rearranged sarcomas or mTOR inhibitors in PEComa
APLICACIONES DE INTELIGENCIA ARTIFICIAL EN EL COMERCIO ELECTRÓNICO: UN ESTUDIO BIBLIOMÉTRICO DE 1995 A 2023 UTILIZANDO FUENTES DE DATOS FUSIONADAS
No full textPurpose: The aim of this study is to conduct a comprehensive review of scientific articles concerning artificial intelligence (AI) applications in electronic commerce through bibliometric analysis.
Theoretical Framework: The current study utilized both the SCOPUS and Web of Science (WoS) databases to enrich the analysis with a wider selection of papers in the field, incorporating an examination of the most cited documents.
Design/Methodology/Approach: The dataset for analysis was selected according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, integrating data from Scopus and WoS through R software, specifically using the biblioshiny library. It includes 8372 papers published from 1995 to 2023. This study's data analysis used two approaches: descriptive analysis to examine the data quantitatively and scientific mapping to explore the intellectual and social structures within the dataset.
Findings: The results reveal significant trends in the application of artificial intelligence in e-commerce, highlighting the rapid growth of interest in this area over the last decade. China emerges as the country with the highest number of citations, with ZHANG Y identified as the most relevant author and HU M as the most cited author. Furthermore, the study identifies prevalent keywords used by the authors, including sentiment analysis and recommendation systems.
Research, Practical & Social Implications: This study underscores the transformative potential of AI in enhancing e-commerce practices, offering insights for both academic researchers and industry professionals by providing valuable perspectives on current trends and contributions.
Originality/Value: The value of the study lies in its comprehensive bibliometric approach, which integrates two major databases to explore AI's applications in e-commerce. This deviation from previous reviews, which often rely on a single database, provides a deeper understanding of the current landscape and future directions in this field.Propósito: El objetivo de este estudio es realizar una revisión exhaustiva de artículos científicos sobre las aplicaciones de la inteligencia artificial (IA) en el comercio electrónico a través de análisis bibliométrico.
Marco teórico: El estudio actual utilizó tanto las bases de datos SCOPUS como Web of Science (WoS) para enriquecer el análisis con una selección más amplia de artículos en el campo, incorporando un examen de los documentos más citados.
Metodología: El conjunto de datos para el análisis fue seleccionado de acuerdo con el marco PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), integrando datos de Scopus y WoS a través del software R, específicamente utilizando la biblioteca biblioshiny, e incluye 8372 artículos publicados desde 1995 hasta 2023. El análisis de datos de este estudio utilizó dos enfoques: análisis descriptivo para examinar los datos cuantitativamente y mapeo científico para explorar las estructuras intelectuales y sociales dentro del conjunto de datos.
Conclusiones: Los resultados revelan tendencias significativas en la aplicación de la inteligencia artificial en el comercio electrónico, destacando el rápido crecimiento del interés en esta área durante la última década. China emerge como el país con el mayor número de citas, con ZHANG Y identificado como el autor más relevante y HU M como el autor más citado. Además, el estudio identifica palabras clave prevalentes utilizadas por los autores, incluyendo análisis de sentimientos y sistemas de recomendación.
Implicaciones de la Investigación: Este estudio subraya el potencial transformador de la IA en mejorar las prácticas de comercio electrónico, ofreciendo ideas tanto para investigadores académicos como profesionales de la industria, proporcionando perspectivas valiosas sobre tendencias actuales y contribuciones.
Originalidad/valor: El valor del estudio radica en su enfoque bibliométrico exhaustivo, que integra dos bases de datos principales para explorar las aplicaciones de la IA en el comercio electrónico. Esta desviación de revisiones anteriores, que a menudo se basan en una sola base de datos, proporciona una comprensión más profunda del panorama actual y las direcciones futuras en este campo.Objetivo: O objetivo deste estudo é realizar uma revisão abrangente de artigos científicos sobre as aplicações de inteligência artificial (IA) no comércio eletrônico por meio de análise bibliométrica.
Referencial teórico: O estudo atual utilizou tanto as bases de dados SCOPUS quanto Web of Science (WoS) para enriquecer a análise com uma seleção mais ampla de artigos no campo, incorporando um exame dos documentos mais citados.
Desenho/metodologia/abordagem: O conjunto de dados para análise foi selecionado de acordo com o framework PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), integrando dados do Scopus e WoS por meio do software R, especificamente utilizando a biblioteca biblioshiny, e inclui 8372 artigos publicados de 1995 a 2023. A análise de dados deste estudo utilizou duas abordagens: análise descritiva para examinar os dados quantitativamente e mapeamento científico para explorar as estruturas intelectuais e sociais dentro do conjunto de dados.
Resultados: Os resultados revelam tendências significativas na aplicação da inteligência artificial no comércio eletrônico, destacando o rápido crescimento do interesse nesta área ao longo da última década. A China emerge como o país com o maior número de citações, com ZHANG Y identificado como o autor mais relevante e HU M como o autor mais citado. Além disso, o estudo identifica palavras-chave prevalentes usadas pelos autores, incluindo análise de sentimento e sistemas de recomendação.
Pesquisa, implicações práticas e sociais: Este estudo destaca o potencial transformador da IA em aprimorar práticas de comércio eletrônico, oferecendo insights tanto para pesquisadores acadêmicos quanto profissionais da indústria, fornecendo perspectivas valiosas sobre tendências atuais e contribuições.
Originalidade/valor: O valor do estudo reside em sua abordagem bibliométrica abrangente, que integra duas bases de dados principais para explorar as aplicações da IA no comércio eletrônico. Esta divergência das revisões anteriores, que frequentemente se baseiam em uma única base de dados, proporciona uma compreensão mais profunda do cenário atual e das direções futuras neste campo
Artificial intelligence applications in e-commerce: A bibliometric study from 1995 to 2023 using merged data sources
No full textPurpose: The aim of this study is to conduct a comprehensive review of scientific articles concerning artificial intelligence (AI) applications in electronic commerce through bibliometric analysis.
Theoretical Framework: The current study utilized both the SCOPUS and Web of Science (WoS) databases to enrich the analysis with a wider selection of papers in the field, incorporating an examination of the most cited documents.
Design/Methodology/Approach: The dataset for analysis was selected according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, integrating data from Scopus and WoS through R software, specifically using the biblioshiny library. It includes 8372 papers published from 1995 to 2023. This study's data analysis used two approaches: descriptive analysis to examine the data quantitatively and scientific mapping to explore the intellectual and social structures within the dataset.
Findings: The results reveal significant trends in the application of artificial intelligence in e-commerce, highlighting the rapid growth of interest in this area over the last decade. China emerges as the country with the highest number of citations, with ZHANG Y identified as the most relevant author and HU M as the most cited author. Furthermore, the study identifies prevalent keywords used by the authors, including sentiment analysis and recommendation systems.
Research, Practical & Social Implications: This study underscores the transformative potential of AI in enhancing e-commerce practices, offering insights for both academic researchers and industry professionals by providing valuable perspectives on current trends and contributions.
Originality/Value: The value of the study lies in its comprehensive bibliometric approach, which integrates two major databases to explore AI's applications in e-commerce. This deviation from previous reviews, which often rely on a single database, provides a deeper understanding of the current landscape and future directions in this field.Objetivo: O objetivo deste estudo é realizar uma revisão abrangente de artigos científicos sobre as aplicações de inteligência artificial (IA) no comércio eletrônico por meio de análise bibliométrica.
Referencial teórico: O estudo atual utilizou tanto as bases de dados SCOPUS quanto Web of Science (WoS) para enriquecer a análise com uma seleção mais ampla de artigos no campo, incorporando um exame dos documentos mais citados.
Desenho/metodologia/abordagem: O conjunto de dados para análise foi selecionado de acordo com o framework PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), integrando dados do Scopus e WoS por meio do software R, especificamente utilizando a biblioteca biblioshiny, e inclui 8372 artigos publicados de 1995 a 2023. A análise de dados deste estudo utilizou duas abordagens: análise descritiva para examinar os dados quantitativamente e mapeamento científico para explorar as estruturas intelectuais e sociais dentro do conjunto de dados.
Resultados: Os resultados revelam tendências significativas na aplicação da inteligência artificial no comércio eletrônico, destacando o rápido crescimento do interesse nesta área ao longo da última década. A China emerge como o país com o maior número de citações, com ZHANG Y identificado como o autor mais relevante e HU M como o autor mais citado. Além disso, o estudo identifica palavras-chave prevalentes usadas pelos autores, incluindo análise de sentimento e sistemas de recomendação.
Pesquisa, implicações práticas e sociais: Este estudo destaca o potencial transformador da IA em aprimorar práticas de comércio eletrônico, oferecendo insights tanto para pesquisadores acadêmicos quanto profissionais da indústria, fornecendo perspectivas valiosas sobre tendências atuais e contribuições.
Originalidade/valor: O valor do estudo reside em sua abordagem bibliométrica abrangente, que integra duas bases de dados principais para explorar as aplicações da IA no comércio eletrônico. Esta divergência das revisões anteriores, que frequentemente se baseiam em uma única base de dados, proporciona uma compreensão mais profunda do cenário atual e das direções futuras neste campo.Propósito: El objetivo de este estudio es realizar una revisión exhaustiva de artículos científicos sobre las aplicaciones de la inteligencia artificial (IA) en el comercio electrónico a través de análisis bibliométrico.
Marco teórico: El estudio actual utilizó tanto las bases de datos SCOPUS como Web of Science (WoS) para enriquecer el análisis con una selección más amplia de artículos en el campo, incorporando un examen de los documentos más citados.
Metodología: El conjunto de datos para el análisis fue seleccionado de acuerdo con el marco PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), integrando datos de Scopus y WoS a través del software R, específicamente utilizando la biblioteca biblioshiny, e incluye 8372 artículos publicados desde 1995 hasta 2023. El análisis de datos de este estudio utilizó dos enfoques: análisis descriptivo para examinar los datos cuantitativamente y mapeo científico para explorar las estructuras intelectuales y sociales dentro del conjunto de datos.
Conclusiones: Los resultados revelan tendencias significativas en la aplicación de la inteligencia artificial en el comercio electrónico, destacando el rápido crecimiento del interés en esta área durante la última década. China emerge como el país con el mayor número de citas, con ZHANG Y identificado como el autor más relevante y HU M como el autor más citado. Además, el estudio identifica palabras clave prevalentes utilizadas por los autores, incluyendo análisis de sentimientos y sistemas de recomendación.
Implicaciones de la Investigación: Este estudio subraya el potencial transformador de la IA en mejorar las prácticas de comercio electrónico, ofreciendo ideas tanto para investigadores académicos como profesionales de la industria, proporcionando perspectivas valiosas sobre tendencias actuales y contribuciones.
Originalidad/valor: El valor del estudio radica en su enfoque bibliométrico exhaustivo, que integra dos bases de datos principales para explorar las aplicaciones de la IA en el comercio electrónico. Esta desviación de revisiones anteriores, que a menudo se basan en una sola base de datos, proporciona una comprensión más profunda del panorama actual y las direcciones futuras en este campo
Harnessing multi-source data for AI-driven oncology insights: Productivity, trend, and sentiment analysis
No full textThis study aims to provide an overall view of the current status of AI publications in the entire field of oncology, encompassing productivity, emerging trends, and researchers’ sentiments. A total of 1,296 papers published between January 2019 and January 2024, were selected using the PRISMA framework. Citespace software and the R package “Biblioshiny” were utilized for bibliographic analysis. China has been the leading contributor to global production with over 2,596 publications, followed by Europe. Among 8339 authors, Kather JN was the third most prolific author and held a central position in the co-authorship network. The most prominent article emphasized the Explainability of AI methods (XAI) with a profound discussion of their potential implications and privacy in data fusion contexts. Current trends involve the utilization of supervised learning methods such as CNN, Bayesian networks, and extreme learning machines for various cancers, particularly breast, lung, brain, and skin cancer. Late image-omics fusion was the focus of various studies during 2023. Recent advancements include the use of "conductive hydrogels" and "carbon nanotubes" for flexible electronic sensors. Ninety and a half percent of the researchers viewed these advancements positively. To our knowledge, this study is the first in the field to utilize merged databases from WoS, Scopus, and PubMed. Supervised ML methods, Multimodal DL, chatbots, and intelligent wearable devices have garnered significant interest from the scientific community. However, issues related to data-sharing and the generalizability of AI algorithms are still prevalent
Tata Ruang Wilayah: Meaningful Participation Dalam Pembentukan Peraturan
No full textCommunity involvement and participation are very important in the drafting of regional regulations. If involvement and participation are neglected, the consequences will have an impact on the formal legitimacy of the regional regulations. The legalized of Malang City Regional Regulation Number 6 of 2022 on the Spatial Planning for the City of Malang for 2022-2042 in its development raises a big question, Â has the community been involved? Even if the community is involved, to what extent has this involvement been carried out? Does it meet reasonable eligibility criteria? The purpose of this study is to find out and analyse the application of meaningful participation in the establishment of Malang City Regional Regulation Number 6 of 2022 on Spatial Planning for Malang City for the 2022-2042 period. The research method used by the author is empirical legal research by conducting direct interviews with the Chairperson Regional Representative Council of the Malang City and Deputy Mayor of Malang in the Field of Economics and Development. The stages of preparing the Malang City Regional Regulation Number 6 of 2022 on Spatial Planning for the City of Malang for 2022-2042 include the stages of planning, preparation, discussion, evaluation, determination and publication. The implementation of meaningful participation in the formation of the Malang City Regional Regulation Number 6 of 2022 on the Malang City Spatial Plan for 2022-2042 was not carried out properly because the documents for forming the a quo Regional Regulation were prepared by the Malang City DPRD and the City Government
Comprehensive Molecular Characterization of a Large Series of Calcified Chondroid Mesenchymal Neoplasms Widening Their Morphologic Spectrum
No full textInternational audienceRecently, FN1 fusions to receptor tyrosine kinase genes have been identified in soft tissue tumors with calcified chondroid matrix named calcifying chondroid mesenchymal neoplasms (CCMNs). We collected 33 cases of CCMN from the French network for soft tissue and bone tumors. We performed whole-exome RNA sequencing, expression analysis, and genome-wide DNA methylation profiling in 33, 30, and 20 cases of CCMN compared with a control group of tumors, including noncalcified tenosynovial giant cell tumor (TGCT). Among them, 15 cases showed morphologic overlap with soft tissue chondroma, 8 cases with tophaceous pseudogout, and 10 cases with chondroid TGCT. RNA-sequencing revealed a fusion of FN1 in 76% of cases (25/33) with different 5′ partners, including most frequently FGFR2 (14 cases), TEK or FGFR1 . Among CCMN associated with FGFR1 fusions, 2 cases had overexpression of FGF23 without tumor-induced osteomalacia. Four CCMN had PDGFRA::USP8 fusions; 3 of which had histologic features of TGCT and were located in the hip, foot, and temporomandibular joint (TMJ). All cases with FN1::TEK fusion were located at TMJ and had histologic features of TGCT with or without chondroid matrix. They formed a distinct cluster on unsupervised clustering analyses based on whole transcriptome and genome-wide methylome data. Our study confirms the high prevalence of FN1 fusions in CCMN. In addition, through transcriptome and methylome analyses, we have identified a novel subgroup of tumors located at the TMJ, exhibiting TGCT-like features and FN1::TEK fusions
A novel LARGE1-AFF2 fusion expanding the molecular alterations associated with the methylation class of neuroepithelial tumors with PATZ1 fusions
No full textInternational audienceA novel DNA methylation class of tumor within the central nervous system, the "neuroepithelial tumor (NET), PATZ1 fusion-positive" has recently been identified in the literature, characterized by EWSR1-and MN1-PATZ1 fusions. The cellular origin of this tumor type remains unknown, wavering between glioneuronal or mesenchymal (as round cell sarcomas with EWSR1-PATZ1 of the soft tissue). Because of the low number of reported cases, this tumor type will not be added to the 2021 World Health Organization Classification of Tumors of the Central Nervous System (CNS). Herein, we report one case of a CNS tumor classified by DNA methylation analysis as NET-PATZ1 but harboring a novel LARGE1-AFF2 fusion which has until now never been described in soft tissue or the CNS. We compare its clinical, histopathological, immunophenotypical, and genetic features with those previously described in NET-PATZ1. Interestingly, the current case presented histopathological (astroblastoma-like features, glioneuronal phenotype), clinical (with a favorable course), genetic (1p loss), and epigenetic (DNA-methylation profiling) similarities to previously reported cases of NET-PATZ1. Our results added data suggesting that different histomolecular tumor subtypes seem to be included within the methylation class "NET, PATZ1 fusion-positive", including non PATZ1 fusions, and that further cases are needed to better characterize them
Pharmacogenomic screening identifies and repurposes leucovorin and dyclonine as pro-oligodendrogenic compounds in brain repair
No full textAbstract Oligodendrocytes are critical for CNS myelin formation and are involved in preterm-birth brain injury (PBI) and multiple sclerosis (MS), both of which lack effective treatments. We present a pharmacogenomic approach that identifies compounds with potent pro-oligodendrogenic activity, selected through a scoring strategy (OligoScore) based on their modulation of oligodendrogenic and (re)myelination-related transcriptional programs. Through in vitro neural and oligodendrocyte progenitor cell (OPC) cultures, ex vivo cerebellar explants, and in vivo mouse models of PBI and MS, we identify FDA-approved leucovorin and dyclonine as promising candidates. In a neonatal chronic hypoxia mouse model mimicking PBI, both compounds promote neural progenitor cell proliferation and oligodendroglial fate acquisition, with leucovorin further enhancing differentiation. In an adult MS model of focal de/remyelination, they improve lesion repair by promoting OPC differentiation while preserving the OPC pool. Additionally, they shift microglia from a pro-inflammatory to a pro-regenerative profile and enhance myelin debris clearance. These findings support the repurposing of leucovorin and dyclonine for clinical trials targeting myelin disorders, offering potential therapeutic avenues for PBI and MS
Additional file 1 of A novel LARGE1-AFF2 fusion expanding the molecular alterations associated with the methylation class of neuroepithelial tumors with PATZ1 fusions
No full textAdditional file 1. Table S1. Summary of clinical, histopathological and molecular data of CNS PATZ1-fused tumors reported in the literatur
