Novel therapeutic strategies in prostate cancer: establishing a stratification system for patient selection in

Carmen Priolo1, William K Oh, Massimo Loda

  • 1Harvard Medical School, Brigham and Women's Hospital, Department of Pathology, 44 Binney Street, D1537, Boston, MA 02115, USA.

Idrugs : the Investigational Drugs Journal
|April 1, 2009
PubMed

Insights

New treatments for metastatic hormone-refractory prostate cancer are needed. Molecular classification of tumors is crucial for developing targeted therapies and predicting patient response to novel drugs.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Current standard treatment for metastatic hormone-refractory prostate cancer (docetaxel and prednisone) improves survival but is not curative.
  • Numerous small-molecule inhibitors and monoclonal antibodies targeting cancer pathways are in preclinical and early clinical development.
  • Lack of molecular tumor characterization hinders interpretation of clinical trial results and identification of predictive markers.

Purpose of the Study:

  • To emphasize the need for molecular classification of prostate tumors.
  • To facilitate the development of predictive models for patient stratification in clinical trials.
  • To guide the selection of targeted therapies for metastatic prostate cancer.

Main Methods:

  • Review of current treatment standards and emerging therapeutic strategies.
  • Discussion of challenges in interpreting clinical trial data due to lack of molecular profiling.
  • Highlighting the importance of molecular characterization for personalized medicine.

Main Results:

  • The current standard therapy for metastatic hormone-refractory prostate cancer is insufficient for a cure.
  • Many novel targeted agents are under investigation, but guidelines for their use are lacking.
  • Molecular profiling of prostate tumors is essential for identifying biomarkers and stratifying patients.

Conclusions:

  • A molecular classification of human prostate tumors is actively sought.
  • This classification will enable the development of predictive models for patient stratification.
  • It will aid in the effective implementation of targeted clinical trials for metastatic prostate cancer.

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