Related Experiment Video
Updated: Aug 2, 2026

Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
Published on: September 30, 2016
Patient preferences and predicted relative uptake for targeted therapies in metastatic colorectal cancer: a discrete
Xin Yi Wong1, Andrew Qi Jun Lim2, Qianyu Shen1
1Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Republic of Singapore.
Objective:
Ras wild-type metastatic colorectal cancers (mCRC) may be treated with anti-vascular endothelial growth factor (VEGF) or anti-epidermal growth factor receptor (EGFR) agents. We aim to estimate patients' preferences for mCRC treatment and relative importance of cost, efficacy improvement, avoidance of side effects and therapy convenience, and relative uptake between profiles that resemble Bevacizumab (anti-VEGF) and Cetuximab (anti-EGFR), two commonly prescribed mCRC targeted therapies.
Methods:
Discrete choice experiment (DCE) was administered to English- or Chinese-speaking Stage 2 or 3 colon cancer patients at the National Cancer Centre Singapore. DCE attributes comprise progression-free survival (PFS), severity of acne-like skin rashes, severity of bleeding, out-of-pocket cost per month and frequency of drug administration. Mixed logit model was used to calculate preference weights for all attribute levels. Subgroup analyses were conducted by interacting attribute levels with selected respondent characteristics. Relative uptake rates for various medication scenarios were studied.
Results:
169 respondents aged 61.5 ± 10.5 years completed the survey. They placed the greatest weight on cost, followed by bleeding and skin rashes, then PFS and finally frequency of drug administration. This was similarly observed in the subgroup analyses. A scenario with shorter PFS but less severe side effects has a slightly higher relative uptake at 55%. One quarter of respondents reported that they would not take the treatment they preferred in the choice task.
Conclusion:
Patients were willing to trade off some degree of efficacy to avoid certain severity of side effects. It is therefore crucial for patients and physicians to discuss patients' preferences and circumstances to understand which attributes are more important, as well as patients' views on the trade-offs between treatment benefits and risks.
Insights
Metastatic colorectal cancer patients prioritize cost and side effect avoidance over progression-free survival. Many would not take their preferred treatment if it involved severe side effects, highlighting the need for shared decision-making.
Area of Science:
- Oncology
- Health Economics
- Patient-Reported Outcomes
Background:
- Ras wild-type metastatic colorectal cancer (mCRC) treatment involves anti-VEGF or anti-EGFR agents.
- Patient preferences are crucial for optimizing treatment selection in mCRC.
Purpose of the Study:
- To estimate patient preferences for mCRC treatments.
- To determine the relative importance of cost, efficacy, side effects, and convenience.
- To assess uptake of Bevacizumab- and Cetuximab-like profiles.
Main Methods:
- Discrete Choice Experiment (DCE) administered to Stage 2/3 colon cancer patients.
- Attributes included progression-free survival (PFS), skin rashes, bleeding, cost, and administration frequency.
- Mixed logit model used to calculate preference weights.
Main Results:
- Cost was the most heavily weighted attribute, followed by bleeding and skin rashes, then PFS and administration frequency.
- A scenario with shorter PFS but less severe side effects had higher uptake (55%).
- One quarter of respondents would not take their preferred treatment due to side effects.
Conclusions:
- Patients are willing to trade efficacy for reduced side effect severity.
- Shared decision-making is vital to align treatment choices with patient priorities and circumstances.
- Understanding patient trade-offs between benefits and risks is essential for effective mCRC management.
More Related Videos
10:27Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase