Clinically potential subclasses of retinoid synergists revealed by gene expression profiling.

@article{Ishida2003ClinicallyPS,
  title={Clinically potential subclasses of retinoid synergists revealed by gene expression profiling.},
  author={Seiichi Ishida and Yukari Shigemoto-Mogami and Hiroyuki Kagechika and Koichi Shudo and Shogo Ozawa and Jun-ichi Sawada and Yasuo Ohno and Kazuhide Inoue},
  journal={Molecular cancer therapeutics},
  year={2003},
  volume={2 1},
  pages={49-58}
}
Retinoids have chemopreventive and therapeutic potency in oncology and dermatology, although their application is restricted by many undesirable side effects. For the development of more effective and less toxic retinoids, gene expression analyses using DNA microarrays have the potential to supplement conventional screening methods, which are based on the changes in cell morphology and/or function. In this study, we applied the class prediction algorithm, which was used in the molecular… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 25 references

Identification and characterization of a leukocyte-specific component of the nuclear body

D. B. Bloch, S. M. de la Monte, P. Guigaouri, A. Filippov, K. D. Bloch
J. Biol. Chem., • 1996
View 4 Excerpts
Highly Influenced

Nuclear distribution of prothymosin alpha and parathymosin: evi 57 Molecular Cancer Therapeutics Research

K. Vareli, M. Frangou-Lazaridis, I. van der Kraan, R. van Driel
on September • 2003

Predicting the clinical status of human breast cancer by using gene expression profiles.

Proceedings of the National Academy of Sciences of the United States of America • 2001
View 1 Excerpt

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