1,720,968 research outputs found
Abstract NTOC-078: ENGINEERING ADOPTIVE T CELL THERAPY FOR EFFICACY IN OVARIAN CANCER
Abstract
Over 20,000 women are diagnosed with ovarian cancer annually—more than half will die within 5 years and this rate has changed very little in the last 20 years, highlighting the need for innovative therapies. Reprogramming immune system cells to target and kill cancer cells represents a promising new treatment strategy. Immune T cells have the potential to control tumor growth without toxicity to healthy tissues when engineered to target proteins uniquely overexpressed in tumors. Recent technological advances have helped identify and validate Wilms' Tumor Antigen 1 (WT1) and mesothelin (MSLN) as valid antigen targets for ovarian cancer; these proteins contribute to malignant and invasive phenotypes and have limited expression in healthy cells. In preclinical studies using either patient-derived cell lines or the mouse ID8 ovarian tumor model, we show that T cells engineered to express either a WT1- or MSLN- specific high-affinity T cell receptor (TCR) can kill human and murine ovarian tumor cells in vitro. Moreover, in a disseminated in vivo murine model, adoptively transferred TCRengineered T cells preferentially accumulated within established ID8 tumors, delayed ovarian tumor growth, and prolonged mouse survival. However, our data also reveal that the tumor microenvironment (TME) limits the persistence and killing capacity of the engineered T cells. Cellular and molecular analyses of human tumor specimens show human therapy will face similar obstacles posed by the TME. Ongoing studies will be discussed that are exploring strategies to overcome elements common to the human and murine TME, including direct modulation of the environment and T cell engineering to promote T cell survival and function.
Citation Format: Kristin G. Anderson, Breanna M. Bates, Edison Y. Chiu, Philip D. Greenberg. ENGINEERING ADOPTIVE T CELL THERAPY FOR EFFICACY IN OVARIAN CANCER [abstract]. In: Proceedings of the 11th Biennial Ovarian Cancer Research Symposium; Sep 12-13, 2016; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(11 Suppl):Abstract nr NTOC-078.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Abstract 4980: Engineering adoptive T cell therapy for efficacy in ovarian cancer
Abstract
Over 20,000 women are diagnosed with ovarian cancer annually - more than half will die within 5 years and this rate has changed very little in the last 20 years, highlighting the need for innovative therapies. One promising new treatment strategy has the potential to control tumor growth without toxicity to healthy tissues, by employing immune T cells engineered to target proteins uniquely overexpressed in tumors. Recent technological advances have helped identify and validate Wilms’ Tumor Antigen 1 (WT1) and mesothelin (MSLN) as valid antigen targets for ovarian cancer, as these proteins contribute to malignant and invasive phenotypes and have limited expression in healthy cells. In preclinical studies using either patient-derived cell lines or the mouse ID8 ovarian tumor model, we found that T cells engineered to express either a WT1- or MSLN- specific high-affinity T cell receptor (TCR) can kill human and murine ovarian tumor cells in vitro. Moreover, in a disseminated in vivo murine model, adoptively transferred TCR-engineered T cells preferentially accumulated within established ID8 tumors, delayed ovarian tumor growth and prolonged mouse survival. However, our data also revealed that the tumor microenvironment (TME) can limit engineered T cell persistence and killing capacity. Cellular and molecular analyses showed human therapy will face similar TME-mediated obstacles. The ovarian cancer TME is a nutrient- and oxygen-deprived milieu, and adaptive metabolic responses by infiltrating T cells have protean effects on T cell function. Thus, strategies that modulate T cell metabolic pathways, and thereby influence activity in the TME, might enhance T cell function and improve anti-tumor efficacy by overcoming a critical component of immune evasion by solid tumors. Ongoing studies will be discussed that are exploring strategies to overcome elements common to the human and murine TME, including direct modulation of the environment and T cell engineering to promote T cell survival and function.
Citation Format: Kristin G. Anderson, Breanna M. Bates, Edison Y. Chiu, Philip D. Greenberg. Engineering adoptive T cell therapy for efficacy in ovarian cancer [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 4980. doi:10.1158/1538-7445.AM2017-4980</jats:p
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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