書誌事項

Immunodeficient animals : models for cancer research

volume editors, W. Arnold, P. Köpf-Maier, B. Micheel

(Contributions to oncology = Beiträge zur Onkologie, vol. 51)

Karger, 1996

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注記

"The present volume is based on the Workshop on Immunodeficient Laboratory Animals held in Berlin in October 1993"--Introd

Includes bibliographical references and index

内容説明・目次

内容説明

The classic immunodeficient mutants nude, scid and rnu have an important function in experimental cancer research: they allow unique methods of investigation and provide data of clinical relevance. This volume presents the state of the art of research work based on the use of these immunodeficient animal models. One section is dedicated to the biological aspects and immunological properties of immunodeficient mutants. Another part includes articles on xenogenous transplantation of human tumors, focusing on the establishment of transplantable lines, growth characteristics and tumor markers. Special attention is given to new approaches in the fields of chemotherapy, radiation therapy and immunotherapy. Various contributors consider in vitro methods as alternative models. In addition to current data, this publication contains useful technical and methodological information and is therefore valuable not only for specialists but also for scientists entering the field of experimental cancer research.

目次

  • Part 1 Immunodeficient mutants - biological features and specific models: biology
  • immunological properties
  • non-cancerous models
  • autochtonous tumours. Part 2 Xenogenous transplantation of human tumours - establishment of transplantable lines and growth characteristics: establishing transplantable lines
  • growth characteristics
  • tumour markers. Part 3 Chemotherapy models - screening and therapy approaches: screening studies
  • therapy approaches. Part 4 Radiation therapy approaches: radiotherapy
  • sensitizers. Part 5 Immunotherapy models: xenogenization of SCID mice
  • tumour therapy approaches
  • in vitro methods as alternative models.

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