Akhil Chawla, Gheath Alatrash, Yun Wu, Elizabeth A Mittendorf
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引用次数: 11
Abstract
The immune response in the tumor microenvironment is complex, consisting of cells from both the adaptive and innate immune systems. The phenotype and function of these cells are dictated by cytokines present in the microenvironment, as well as by the interactions of these cells with the tumor cells and each other. Technological advances have allowed investigators to better identify the specific immune cells present and immune-related gene signatures overexpressed in the tumor microenvironment. Increased knowledge of tumor immunology has allowed us to better understand how these cells and the developing tumor interact. Together, these advances have prompted the conduct of numerous studies investigating the prognostic and predictive significance of immune infiltrates.
期刊介绍：
Breast Cancer Management (ISSN: 1758-1923) addresses key issues in disease management by exploring the best patient-centered clinical research and presenting this information both directly, as clinical findings, and in practice-oriented formats of direct relevance in the clinic. The journal also highlights significant advances in basic and translational research, and places them in context for future therapy. Breast Cancer Management provides oncologists and other health professionals with the latest findings and opinions on reducing the burden of this widespread disease. Recent research findings and advances clinical practice in the field are reported and analyzed by international experts. The journal presents this information in clear, accessible formats. All articles are subject to independent review by a minimum of three independent experts. Unsolicited article proposals are welcomed and authors are required to comply fully with the journal’s Disclosure & Conflict of Interest Policy as well as major publishing guidelines, including ICMJE and GPP3. Coverage includes: Diagnosis and imaging, Surgical approaches, Radiotherapy, Systemic therapies, Cancer clinical trials, Genetic aspects of disease, Personalized medicine, Translational research and biomarker studies, Management of psychological distress, Epidemiological studies, Pharmacoeconomics, Evidence-based treatment guidelines.
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