1,721,199 research outputs found

    Funda Meric-Bernstam, MD

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    https://openworks.mdanderson.org/legendsandlegacieschapters/1015/thumbnail.jp

    The Present and Future of Precision Oncology and Tumor-Agnostic Therapeutic Approaches

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    Precision oncology has transformed the treatment landscape for patients with advanced solid tumors. Tumor-agnostic therapies, those that have been approved based on genetic mutations or biomarkers across tumor histology types, are important examples of how the implementation of precision oncology can expand therapeutic options for patients, especially those with rare cancer types and treatment-refractory disease. In this review, we first discuss how advances in next-generation sequencing and molecular profiling have enabled the identification of shared actionable alterations. Subsequently, we explore the current landscape of tumor-agnostic therapies that have received approval from the Food and Drug Administration. We discuss the strengths and limitations of these therapies and evaluate the clinical trial data leading to their approval. In addition, we detail updated results from these clinical trials and additional observational studies reported after the approval. Several factors such as tumor histology, specific alteration types, and the presence of co-alterations are associated with the efficacy of these therapies. Also, challenges remain in understanding resistance mechanisms and predicting response. Looking ahead, we discuss how improved diagnostic tools, novel experimental strategies, and innovative trial designs may further advance the field of precision oncology and improve therapeutic options for patients

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

    Promising Rationally Derived Combination Therapy with PI3K and CDK4/6 Inhibitors

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    In this issue of Cancer Cell, Vora and colleagues demonstrate that persistent CDK4 and pRB activation underlie acquired resistance to phosphatidylinositol 3-kinase (PI3K) inhibitors in breast cancer cell lines, suggesting that clinical evaluation of rational combination therapy with PI3K and CDK4/6 inhibitors to mitigate resistance to PI3K inhibition is warranted

    Intracellular signaling in tumor and endothelial cells: The expected and, yet again, the unexpected

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    In this issue of Cancer Cell, Phung and coworkers demonstrate that sustained endothelial activation of Akt by expression of constitutively activated Akt1 (myrAkt1) leads to blood vessels that essentially recapitulate the complex structural and functional abnormalities of tumor vessels. The authors provide evidence that rapamycin inhibition of PI3K/Akt/mTOR signaling in endothelial cells (ECs), by either reducing Akt activity or blocking mTOR, reverses the pathologic effects associated with excess VEGF signaling in the tumor vasculature. However, unexpected findings following mTOR inhibition in vivo highlight the seemingly paradoxical and complex effects of rapamycin on various cell types within the tumor microenvironment

    Dispelling the Myths Behind First-author Citation Counts

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    We 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
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