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Abstract 6938: Identification of distinct tumor-TME ecomodules in glioma from neurofibromatosis type 1
No full textAbstract Neurofibromatosis type 1 (NF-1) is the most common cancer predisposition syndrome in which 15-20% of affected individuals develop glioma. Large scale DNA and RNA bulk profiling showed the molecular complexity of NF-1 glioma with the tumor cellular ecosystem constituted by multiple malignant phenotypes and heterogenous immune microenvironment. However, the composition and function of infiltrating cells was hidden in the bulk tumor, and the extended granularity of NF-1 glioma tumor microenvironment (TME) remained still unexplored. Here, we collected glioma samples from 46 NF-1 patients including 22 high-grade (HGG) and 24 low-grade (LGG) tumors, and we analyzed their gene expression by single nuclei RNA sequencing. A total of 239,044 single cells were classified into tumor and non-tumor components by integrating multiple computational approaches (including genomic copy number inference, gene signature enrichment, and clustering). We defined the pattern of intra-tumor heterogeneity of NF-1 glioma cells using non-negative matrix factorization and derived 7 malignant meta-programs (MPs) that we respectively defined as Neuronal-like, EMT, Astrocyte-like, Dividing Radial Glia-like, Ependymal-like, Immune, and Glycolytic/Hypoxic-like. These MPs recapitulated normal brain cell subtypes, thereby reflecting broad cell plasticity. The non-tumor cell compartment (121,364 cells, 51%) was dissected for the characterization of the cell types that populate the TME of NF-1 glioma. We identified different subpopulations exhibiting specific immune functions within myeloid and lymphoid components. Different glioma ecomodules were highlighted by comparing the relative composition of the TME across the tumors. Recruitment and activation of cytotoxic CD8+ T cells and natural killers by an active crosstalk with dendritic and pro-inflammatory myeloid cells defined an immune-supportive phenotype that could mediate a potential anti-tumor response in low-grade NF-1 glioma (LGG immune high). Conversely, regulatory T cell infiltration and effector T cell exhaustion induced immune suppression in a low-grade glioma immune dysfunctional ecomodule. The absence of lymphocytes characterized a large set of cold tumors, mostly including high-grade glioma. Together, the complex interplay of tumor cell states with different TME compartments elucidated the existence of separate ecomodules in NF-1 glioma, with the LGG immune high TME associated with Neuronal-like and the LGG immune dysfunctional with Ependymal-like tumor cells. The Ependymal-like state also exhibits maximal association with brain-specific normal cells, including oligodendrocytes, neurons and astrocytes, whereas the HGG are enriched with Dividing Radial Glia- and Glycolytic/Hypoxic-like tumor cell states. The elucidation of different ecomodules provides novel insights for the application of targeted therapies in NF-1 glioma patients. Citation Format: Luciano Garofano, Fulvio D'Angelo, Michael Oh, Michele Ceccarelli, Franck Bielle, Marc Sanson, Anna Lasorella, Antonio Iavarone. Identification of distinct tumor-TME ecomodules in glioma from neurofibromatosis type 1 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6938
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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