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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

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.
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...

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Related Experiment Video

Updated: Jun 12, 2026

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
09:29

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies

Published on: September 30, 2016

Enabling secure, distributed collaborations for adrenal tumor research.

Anthony Stell1, Richard Sinnott, Jipu Jiang

  • 1National e-Science Centre, University of Glasgow, UK.

Studies in Health Technology and Informatics
|June 15, 2010
PubMed
Summary
This summary is machine-generated.

Securely integrating rare adrenal tumor data across Europe is crucial for research. A new VANGUARD technology prototype ensures patient privacy through layered encryption and data separation, enabling collaborative e-Health strategies.

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Last Updated: Jun 12, 2026

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
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Area of Science:

  • Health Informatics
  • Bioinformatics
  • Oncology

Background:

  • e-Health strategies require secure integration of distributed datasets.
  • Patient privacy and data security are paramount in healthcare data transmission.
  • The European Network for the Study of Adrenal Tumors (ENSAT) faces challenges in linking clinical and genomic data across institutions.

Purpose of the Study:

  • To describe a prototype solution for secure data integration in the ENSAT network.
  • To demonstrate patient-privacy protecting capabilities for linked clinical and genomic data.
  • To support collaborative research on rare adrenal tumors.

Main Methods:

  • Development of a security-oriented tailored portal.
  • Implementation of a layered encryption-driven linkage technology (VANGUARD).
  • Ensuring clear separation of clinical and genomic datasets.
  • Supporting rigorous patient-identity protecting access control across organizational boundaries.

Main Results:

  • A functional prototype supporting the ENSAT network has been implemented.
  • The VANGUARD technology provides patient-privacy protecting capabilities for linked data.
  • The solution facilitates secure access and comparison of distributed clinical and genomic data.

Conclusions:

  • The VANGUARD prototype offers a viable solution for secure e-Health data integration in multi-institutional research networks.
  • This approach addresses critical information governance, ethics, and privacy concerns.
  • The technology enables enhanced research collaboration for rare diseases like adrenal tumors.