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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
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Related Experiment Video

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The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma
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[Research on tumor information grid framework].

Haowei Zhang1, Zhu Qin2, Ying Liu2

  • 1College of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. howiezh@sina.com

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|January 28, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a tumor grid framework for sharing and managing cancer data across institutions. It enhances interoperability and resource accessibility for improved medical research and patient care.

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Area of Science:

  • Bioinformatics
  • Health Informatics
  • Grid Computing

Context:

  • Tumor disease information sharing and management are fragmented across medical institutions.
  • Heterogeneous data and software resources lack interoperability.
  • Need for a unified framework for collaborative cancer research.

Purpose:

  • To develop a tumor grid framework for effective integration and interoperability of distributed tumor data and software resources.
  • To enable semantic and syntactic consistency across heterogeneous medical data.
  • To establish a multi-center, large-sample, networking framework for tumor disease resource sharing.

Summary:

  • Utilized grid technology to integrate distributed tumor data and software resources from various medical institutions.
  • Employed Web Service Description Language (WSDL) and extensible markup language schemas definition (XSD) for service packaging.
  • Implemented Web Services Resource Framework (WSRF) for resource registration and release, enabling client access via serialized documents.
  • Service objects built using Unified Modeling Language (UML) as middleware for Application Programming Interface (API) creation.

Impact:

  • Facilitates a multi-center, large-sample, networking framework for tumor disease resource sharing.
  • Improves the development level of medical scientific research institutions.
  • Enhances the quality of life for patients through better data management and research outcomes.