Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer

Shahil Amin1,2, Oliver F Bathe3,4,5,6

  • 1Cumming School of Medicine, Faculty of Graduate Studies, University of Calgary, Calgary, Canada.

BMC Cancer
|November 6, 2016
PubMed
Abstract

Insights

Personalizing cancer care requires better ways to track treatment effectiveness. Response biomarkers offer a promising, cost-effective alternative to traditional imaging for monitoring patient benefit and guiding therapy decisions.

Area of Science:

  • Oncology
  • Biomarker Discovery
  • Therapeutic Monitoring

Background:

  • The increasing number of chemotherapy drugs presents challenges in selecting optimal treatments for individual cancer patients.
  • Predictive biomarkers aid in identifying likely responders but do not guarantee treatment benefit for all.
  • Current predictive biomarkers are unavailable for many chemotherapeutic agents.

Purpose of the Study:

  • To review the current landscape of cancer treatment response assessment strategies.
  • To highlight the limitations of existing methods like radiographic tests (CT, PET) for monitoring therapeutic efficacy.
  • To introduce the potential of response biomarkers as a more accessible and cost-effective approach.

Main Methods:

  • Review of current literature on treatment response assessment in oncology.
  • Discussion of the state-of-the-art in radiographic and biomarker-based response monitoring.
  • Framework for future response biomarker discovery.

Main Results:

  • Radiographic tests (CT, PET) are the most established methods for response assessment.
  • Emerging research shows potential for biomarkers in monitoring therapeutic efficacy.
  • An ideal response biomarker for cancer therapy has not yet been identified.

Conclusions:

  • Response biomarkers may offer a less expensive and more convenient method for monitoring cancer treatment efficacy compared to radiographic tests.
  • Further development and validation of response biomarkers are needed.
  • A framework is proposed to guide future discovery of effective response biomarkers.

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