1,721,122 research outputs found

    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

    Abstract 1226: Targeting BTK family in ER+ breast cancer with Ibrutinib for personalized precision medicine: a double-edged sword

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    Abstract Background: Metastasis is the principal cause of morbidity and mortality from breast cancer. Although current therapies are effective in early-stage of breast cancer, resistance to therapy is common leading to the development of metastasis. The commonest site of metastases is the regional lymph nodes. The presence and the number of involved lymph nodes remains the single best predictor of metastases and an important guide for the use of systemic adjuvant therapy. Identification of the underlying molecular targets of lymph node metastasis and a better understanding how to therapeutically target these will be a significant step in the goal of prevention of metastases. Experimental Design: To determine the key players associated with the development of metastasis in breast cancer, we performed RNA sequencing (Illumina Paired-end RNA-seq) analysis in a cohort of matched pairs of primary and (nodal) metastatic tumors (n=18). Gene expression profiles were analyzed using DESeq2. For targeted therapeutics, we performed orthotopic tumor implantation into mammary fad pads of athymic nude mice of breast cancer models. Results: Our results identified significant differential expression of the Bruton's tyrosine kinase (BTK) family members in nodal metastasis. Among the family members, BTK, BLK, RLK/TXK and JAK3 are expressed at very high levels in the metastatic lesions as compared to matched primary tumors. Among the 51 breast cancer cell lines analyzed, the BTK genes were significantly upregulated in luminal, but not basal cell lines. Categorized by the molecular subtypes of breast cancer, hormone receptor- positive (HR) and /or HER2 overexpressing breast cancer cell lines present higher BTK expression. Among the 51 breast cancer cell lines analyzed, the BTK genes were significantly regulated in both ER+ HER2- (T47D and ZR75.1) and ER+HER2+ (BT-474 and ZR75.30) breast cancer cell lines. Ibrutinib, a selective and irreversible inhibitor of BTK targeting the cysteine-481 residue in the active site, exhibited potent activity in preclinical models of BTK-expressing targets. Ibrutinib decreased primary tumor growth significantly in ER+HER2+ (BT-474) mouse xenograft model in a dose dependent manner (10 mg/kg vs 25 mg/kg; P&amp;lt; 0.05), whereas it promoted the tumor growth in a significant manner in ER+HER2- xenograft models (T47D and ZR75.1; P&amp;lt;0.05). The differences might be due to the differences in model systems due to the HER2 presence. Conclusion: Our data suggests that differential expression of target genes can be used to select agents as treating breast cancer. However, caution is necessary, as, in some situations, this might lead to enhancement of the growth in in vivo in subsets of breast cancer. Citation Format: Yesim Gökmen-Polar, Xiaoping Gu, Edyta Vieth, Sunil Badve. Targeting BTK family in ER+ breast cancer with Ibrutinib for personalized precision medicine: a double-edged sword [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1226. doi:10.1158/1538-7445.AM2017-1226</jats:p

    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

    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

    Author Index

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    Predictive Biomarkers and Targeted Therapies in Breast Cancer

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    Diseases of the Male Breast

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    Other Malignant Lesions of the Breast

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