The Experts below are selected from a list of 52917 Experts worldwide ranked by ideXlab platform
Olufunmilayo I Olopade - One of the best experts on this subject based on the ideXlab platform.
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a perfect storm how Tumor Biology genomics and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change
CA: A Cancer Journal for Clinicians, 2015Co-Authors: Bobby Daly, Olufunmilayo I OlopadeAbstract:It is well known that there is a significant racial divide in breast cancer incidence and mortality rates. African American women are less likely to be diagnosed with breast cancer than white women but are more likely to die from it. This review explores the factors that may contribute to the racial survival disparity. Consideration is paid to what is known about the role of differences in Tumor Biology, genomics, cancer screening, and quality of cancer care. It is argued that it is the collision of 2 forces, Tumor Biology and genomics, with patterns of care that leads to the breast cancer mortality gap. The delays, misuse, and underuse of treatment for African American patients are of increased significance when these patients are presenting with more aggressive forms of breast cancer. In the current climate of health care reform ushered in by the Affordable Care Act, this article also evaluates interventions to close the disparity gap. Prior interventions have been too narrowly focused on the patient rather than addressing the system and improving care across the continuum of breast cancer evaluation and treatment. Lastly, areas of future investigation and policy initiatives aimed at reducing the racial survival disparity in breast cancer are discussed. CA Cancer J Clin 2015;65: 221–238. © 2015 American Cancer Society.
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a perfect storm how Tumor Biology genomics and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change
CA: A Cancer Journal for Clinicians, 2015Co-Authors: Bobby Daly, Olufunmilayo I OlopadeAbstract:It is well known that there is a significant racial divide in breast cancer incidence and mortality rates. African American women are less likely to be diagnosed with breast cancer than white women but are more likely to die from it. This review explores the factors that may contribute to the racial survival disparity. Consideration is paid to what is known about the role of differences in Tumor Biology, genomics, cancer screening, and quality of cancer care. It is argued that it is the collision of 2 forces, Tumor Biology and genomics, with patterns of care that leads to the breast cancer mortality gap. The delays, misuse, and underuse of treatment for African American patients are of increased significance when these patients are presenting with more aggressive forms of breast cancer. In the current climate of health care reform ushered in by the Affordable Care Act, this article also evaluates interventions to close the disparity gap. Prior interventions have been too narrowly focused on the patient rather than addressing the system and improving care across the continuum of breast cancer evaluation and treatment. Lastly, areas of future investigation and policy initiatives aimed at reducing the racial survival disparity in breast cancer are discussed.
Carol J Bult - One of the best experts on this subject based on the ideXlab platform.
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mouse Tumor Biology mtb a database of mouse models for human cancer
Nucleic Acids Research, 2015Co-Authors: Carol J Bult, Dale A Begley, Debra M Krupke, Steven B Neuhauser, Joel E Richardson, John P Sundberg, Janan T EppigAbstract:The Mouse Tumor Biology (MTB; http://Tumor.informatics.jax.org) database is a unique online compendium of mouse models for human cancer. MTB provides online access to expertly curated information on diverse mouse models for human cancer and interfaces for searching and visualizing data associated with these models. The information in MTB is designed to facilitate the selection of strains for cancer research and is a platform for mining data on Tumor development and patterns of metastases. MTB curators acquire data through manual curation of peer-reviewed scientific literature and from direct submissions by researchers. Data in MTB are also obtained from other bioinformatics resources including PathBase, the Gene Expression Omnibus and ArrayExpress. Recent enhancements to MTB improve the association between mouse models and human genes commonly mutated in a variety of cancers as identified in large-scale cancer genomics studies, provide new interfaces for exploring regions of the mouse genome associated with cancer phenotypes and incorporate data and information related to Patient-Derived Xenograft models of human cancers.
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the mouse Tumor Biology database mtb a central electronic resource for locating and integrating mouse Tumor pathology data
Veterinary Pathology, 2012Co-Authors: Dale A Begley, Debra M Krupke, Steven B Neuhauser, Joel E Richardson, Carol J Bult, Janan T Eppig, John P SundbergAbstract:The Mouse Tumor Biology Database (MTB) is designed to provide an electronic data storage, search, and analysis system for information on mouse models of human cancer. The MTB includes data on Tumor frequency and latency, strain, germ line, and somatic genetics, pathologic notations, and photomicrographs. The MTB collects data from the primary literature, other public databases, and direct submissions from the scientific community. The MTB is a community resource that provides integrated access to mouse Tumor data from different scientific research areas and facilitates integration of molecular, genetic, and pathologic data. Current status of MTB, search capabilities, data types, and future enhancements are described in this article.
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Cancer Biology Data Curation at the Mouse Tumor Biology Database (MTB)
2009Co-Authors: Debra M Krupke, Dale A Begley, Steven B Neuhauser, Joel E Richardson, Carol J Bult, John P Sundberg, Janan T EppigAbstract:Many advances in the field of cancer Biology have been made using mouse models of human cancer. The Mouse Tumor Biology (MTB, "http://Tumor.informatics.jax.org":http://Tumor.informatics.jax.org) database provides web-based access to data on spontaneous and induced Tumors from genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice). These data include standardized Tumor names and classifications, pathology reports and images, mouse genetics, genomic and cytogenetic changes occurring in the Tumor, strain names, Tumor frequency and latency, and literature citations. Although primary source for the data represented in MTB is peer-reviewed scientific literature an increasing amount of data is derived from disparate sources. MTB includes annotated histopathology images and cytogenetic assay images for mouse Tumors where these data are available from The Jackson Laboratory’s mouse colonies and from outside contributors. MTB encourages direct submission of mouse Tumor data and images from the cancer research community and provides investigators with a web-accessible tool for image submission and annotation. Integrated searches of the data in MTB are facilitated by the use of several controlled vocabularies and by adherence to standard nomenclature. MTB also provides links to other related online resources such as the Mouse Genome Database, Mouse Phenome Database, the Biology of the Mammary Gland Web Site, Festing's Listing of Inbred Strains of Mice, the JAX® Mice Web Site, and the Mouse Models of Human Cancers Consortium's Mouse Repository. MTB provides access to data on mouse models of cancer via the internet and has been designed to facilitate the selection of experimental models for cancer research, the evaluation of mouse genetic models of human cancer, the review of patterns of mutations in specific cancers, and the identification of genes that are commonly mutated across a spectrum of cancers. MTB is supported by NCI grant CA089713
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the mouse Tumor Biology database a public resource for cancer genetics and pathology of the mouse
Cancer Research, 2002Co-Authors: Dieter Naf, Debra M Krupke, Janan T Eppig, John P Sundberg, Carol J BultAbstract:Developing genetic mouse models for cancer research has been recognized as an “exceptional opportunity” by the National Cancer Institute. The establishment of bioinformatics resources to facilitate access to published and unpublished data on the genetics and pathology of cancer in different strains of the laboratory mouse is critical to developing and using mouse models of human disease. In this article, we review the Mouse Tumor Biology Database (MTB), a public resource for information on cancer genetics, epidemiology, and pathology in genetically defined mice. We outline current content, data acquisition strategies, and query mechanisms for MTB. MTB is accessible on-line at http://Tumor.informatics.jax.org.
Janan T Eppig - One of the best experts on this subject based on the ideXlab platform.
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mouse Tumor Biology mtb a database of mouse models for human cancer
Nucleic Acids Research, 2015Co-Authors: Carol J Bult, Dale A Begley, Debra M Krupke, Steven B Neuhauser, Joel E Richardson, John P Sundberg, Janan T EppigAbstract:The Mouse Tumor Biology (MTB; http://Tumor.informatics.jax.org) database is a unique online compendium of mouse models for human cancer. MTB provides online access to expertly curated information on diverse mouse models for human cancer and interfaces for searching and visualizing data associated with these models. The information in MTB is designed to facilitate the selection of strains for cancer research and is a platform for mining data on Tumor development and patterns of metastases. MTB curators acquire data through manual curation of peer-reviewed scientific literature and from direct submissions by researchers. Data in MTB are also obtained from other bioinformatics resources including PathBase, the Gene Expression Omnibus and ArrayExpress. Recent enhancements to MTB improve the association between mouse models and human genes commonly mutated in a variety of cancers as identified in large-scale cancer genomics studies, provide new interfaces for exploring regions of the mouse genome associated with cancer phenotypes and incorporate data and information related to Patient-Derived Xenograft models of human cancers.
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the mouse Tumor Biology database mtb a central electronic resource for locating and integrating mouse Tumor pathology data
Veterinary Pathology, 2012Co-Authors: Dale A Begley, Debra M Krupke, Steven B Neuhauser, Joel E Richardson, Carol J Bult, Janan T Eppig, John P SundbergAbstract:The Mouse Tumor Biology Database (MTB) is designed to provide an electronic data storage, search, and analysis system for information on mouse models of human cancer. The MTB includes data on Tumor frequency and latency, strain, germ line, and somatic genetics, pathologic notations, and photomicrographs. The MTB collects data from the primary literature, other public databases, and direct submissions from the scientific community. The MTB is a community resource that provides integrated access to mouse Tumor data from different scientific research areas and facilitates integration of molecular, genetic, and pathologic data. Current status of MTB, search capabilities, data types, and future enhancements are described in this article.
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Cancer Biology Data Curation at the Mouse Tumor Biology Database (MTB)
2009Co-Authors: Debra M Krupke, Dale A Begley, Steven B Neuhauser, Joel E Richardson, Carol J Bult, John P Sundberg, Janan T EppigAbstract:Many advances in the field of cancer Biology have been made using mouse models of human cancer. The Mouse Tumor Biology (MTB, "http://Tumor.informatics.jax.org":http://Tumor.informatics.jax.org) database provides web-based access to data on spontaneous and induced Tumors from genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice). These data include standardized Tumor names and classifications, pathology reports and images, mouse genetics, genomic and cytogenetic changes occurring in the Tumor, strain names, Tumor frequency and latency, and literature citations. Although primary source for the data represented in MTB is peer-reviewed scientific literature an increasing amount of data is derived from disparate sources. MTB includes annotated histopathology images and cytogenetic assay images for mouse Tumors where these data are available from The Jackson Laboratory’s mouse colonies and from outside contributors. MTB encourages direct submission of mouse Tumor data and images from the cancer research community and provides investigators with a web-accessible tool for image submission and annotation. Integrated searches of the data in MTB are facilitated by the use of several controlled vocabularies and by adherence to standard nomenclature. MTB also provides links to other related online resources such as the Mouse Genome Database, Mouse Phenome Database, the Biology of the Mammary Gland Web Site, Festing's Listing of Inbred Strains of Mice, the JAX® Mice Web Site, and the Mouse Models of Human Cancers Consortium's Mouse Repository. MTB provides access to data on mouse models of cancer via the internet and has been designed to facilitate the selection of experimental models for cancer research, the evaluation of mouse genetic models of human cancer, the review of patterns of mutations in specific cancers, and the identification of genes that are commonly mutated across a spectrum of cancers. MTB is supported by NCI grant CA089713
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the mouse Tumor Biology database a public resource for cancer genetics and pathology of the mouse
Cancer Research, 2002Co-Authors: Dieter Naf, Debra M Krupke, Janan T Eppig, John P Sundberg, Carol J BultAbstract:Developing genetic mouse models for cancer research has been recognized as an “exceptional opportunity” by the National Cancer Institute. The establishment of bioinformatics resources to facilitate access to published and unpublished data on the genetics and pathology of cancer in different strains of the laboratory mouse is critical to developing and using mouse models of human disease. In this article, we review the Mouse Tumor Biology Database (MTB), a public resource for information on cancer genetics, epidemiology, and pathology in genetically defined mice. We outline current content, data acquisition strategies, and query mechanisms for MTB. MTB is accessible on-line at http://Tumor.informatics.jax.org.
Aman Sharma - One of the best experts on this subject based on the ideXlab platform.
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role of stem cell derived exosomes in Tumor Biology
International Journal of Cancer, 2018Co-Authors: Aman SharmaAbstract:Exosomes are nano-scale messengers loaded with bio-molecular cargo of RNA, DNA, and Proteins. As a master regulator of cellular signaling, stem cell (both normal, and cancer stem cells) secreted exosome orchestrate various autocrine and paracrine functions which alter Tumor micro-environment, growth and progression. Exosomes secreted by one of the two important stem cell phenotypes in cancers a) Mesenchymal stem cells, and b) Cancer stem cells not only promote cancerous growth but also impart therapy resistance in cancer cells. In Tumors, normal or mesenchymal stem cell (MSCs) derived exosomes (MSC-exo) modulate Tumor hallmarks by delivering unique miRNA species to neighboring cells and help in Tumor progression. Apart from regulating Tumor cell fate, MSC-exo are also capable of inducing physiological processes, for example, angiogenesis, metastasis and so forth. Similarly, cancer stem cells (CSCs) derived exosomes (CSC-exo) contain stemness-specific proteins, self-renewal promoting regulatory miRNAs, and survival factors. CSC-exo specific cargo maintains Tumor heterogeneity and alters Tumor progression. In this review we critically discuss the importance of stem cell specific exosomes in Tumor cell signaling pathways with their role in Tumor Biology.
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role of stem cell derived exosomes in Tumor Biology
International Journal of Cancer, 2018Co-Authors: Aman SharmaAbstract:Exosomes are nano-scale messengers loaded with bio-molecular cargo of RNA, DNA, and Proteins. As a master regulator of cellular signaling, stem cell (both normal, and cancer stem cells) secreted exosome orchestrate various autocrine and paracrine functions which alter Tumor micro-environment, growth and progression. Exosomes secreted by one of the two important stem cell phenotypes in cancers a) Mesenchymal stem cells, and b) Cancer stem cells not only promote cancerous growth but also impart therapy resistance in cancer cells. In Tumors, normal or mesenchymal stem cell (MSCs) derived exosomes (MSC-exo) modulate Tumor hallmarks by delivering unique miRNA species to neighboring cells and help in Tumor progression. Apart from regulating Tumor cell fate, MSC-exo are also capable of inducing physiological processes, for example, angiogenesis, metastasis and so forth. Similarly, cancer stem cells (CSCs) derived exosomes (CSC-exo) contain stemness-specific proteins, self-renewal promoting regulatory miRNAs, and survival factors. CSC-exo specific cargo maintains Tumor heterogeneity and alters Tumor progression. In this review we critically discuss the importance of stem cell specific exosomes in Tumor cell signaling pathways with their role in Tumor Biology.
Bobby Daly - One of the best experts on this subject based on the ideXlab platform.
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a perfect storm how Tumor Biology genomics and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change
CA: A Cancer Journal for Clinicians, 2015Co-Authors: Bobby Daly, Olufunmilayo I OlopadeAbstract:It is well known that there is a significant racial divide in breast cancer incidence and mortality rates. African American women are less likely to be diagnosed with breast cancer than white women but are more likely to die from it. This review explores the factors that may contribute to the racial survival disparity. Consideration is paid to what is known about the role of differences in Tumor Biology, genomics, cancer screening, and quality of cancer care. It is argued that it is the collision of 2 forces, Tumor Biology and genomics, with patterns of care that leads to the breast cancer mortality gap. The delays, misuse, and underuse of treatment for African American patients are of increased significance when these patients are presenting with more aggressive forms of breast cancer. In the current climate of health care reform ushered in by the Affordable Care Act, this article also evaluates interventions to close the disparity gap. Prior interventions have been too narrowly focused on the patient rather than addressing the system and improving care across the continuum of breast cancer evaluation and treatment. Lastly, areas of future investigation and policy initiatives aimed at reducing the racial survival disparity in breast cancer are discussed. CA Cancer J Clin 2015;65: 221–238. © 2015 American Cancer Society.
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a perfect storm how Tumor Biology genomics and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change
CA: A Cancer Journal for Clinicians, 2015Co-Authors: Bobby Daly, Olufunmilayo I OlopadeAbstract:It is well known that there is a significant racial divide in breast cancer incidence and mortality rates. African American women are less likely to be diagnosed with breast cancer than white women but are more likely to die from it. This review explores the factors that may contribute to the racial survival disparity. Consideration is paid to what is known about the role of differences in Tumor Biology, genomics, cancer screening, and quality of cancer care. It is argued that it is the collision of 2 forces, Tumor Biology and genomics, with patterns of care that leads to the breast cancer mortality gap. The delays, misuse, and underuse of treatment for African American patients are of increased significance when these patients are presenting with more aggressive forms of breast cancer. In the current climate of health care reform ushered in by the Affordable Care Act, this article also evaluates interventions to close the disparity gap. Prior interventions have been too narrowly focused on the patient rather than addressing the system and improving care across the continuum of breast cancer evaluation and treatment. Lastly, areas of future investigation and policy initiatives aimed at reducing the racial survival disparity in breast cancer are discussed.
