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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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Hazard Ratio01:12

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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
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UNCAN.eu: Toward a European Federated Cancer Research Data Hub.

Michael Boutros1, Michael Baumann2, Anna Bigas3

  • 1German Cancer Research Center (DKFZ), Division of Signaling and Functional Genomics and Heidelberg University, Medical Faculty Heidelberg, Institute for Human Genetics, Heidelberg, Germany.

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European Union initiatives are creating a federated cancer data hub to connect research across Member States. This platform aims to foster a new level of understanding in cancer research and treatment.

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Area of Science:

  • Oncology
  • Bioinformatics
  • European Research Initiatives

Background:

  • The European Union is establishing a sustainable platform to connect cancer research across Member States.
  • A workshop convened European cancer experts to discuss the development of this platform.

Purpose of the Study:

  • To identify ongoing initiatives contributing to a European Federated Cancer Data Hub.
  • To discuss the governance and long-term evolution of the data hub.

Main Methods:

  • Workshop participation by European cancer experts.
  • Identification and discussion of existing cancer research initiatives.
  • Deliberation on data hub governance and future development.

Main Results:

  • Consensus on the need for a federated European cancer data platform.
  • Identification of key components for platform development and governance.

Conclusions:

  • The UNderstanding CANcer (UNCAN.eu) initiative is crucial for advancing European cancer research.
  • A federated data hub will enhance collaboration and accelerate cancer discoveries.