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Updated: Jul 11, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Tailoring targeted therapy to individual patients: lessons to be learnt from the development of mitomycin C
Milène Volpato1, Roger M Phillips
1Institute of Cancer Therapeutics, University of Bradford, Bradford BD7 1DP, UK. m.volpato@bradford.ac.uk
Abstract:
The modern era of targeted therapeutics offers the potential to tailor therapy to individual patients whose tumours express a specific target. Previous attempts to forecast tumour response to conventional chemotherapeutics based on similar principles have however been disappointing. Mitomycin C (MMC), for example, is a bioreductive drug that requires metabolic activation by cellular reductases for activity. The enzyme NAD(P)H:Quinone oxidoreductase-1 (NQO1) can reduce MMC to DNA damaging species but attempts to establish the relationship between tumour response to MMC and NQO1 expression have generated conflicting reports of good and poor correlations. Several other reductases are known to activate MMC. This, in conjunction with the fact that various physiological and biochemical factors influence therapeutic response, suggests that the mechanism of action of MMC is too complex to allow tumour response to be predicted on the basis of a single enzyme. Alternative approaches using more complex biological and pharmacological systems that reflect the spectrum of reductases present within the tumour have been developed and it remains to be seen whether or not the predictive value of these approaches is enhanced. With regards to targeted therapeutics, the experience with MMC suggests that prediction of tumour response based on analysis of a single target may be too simplistic. Multiple mechanisms of action and the influence of tumour microenvironment on cell biology and drug delivery are likely to influence the final outcome of therapy. The challenge for the future progression of this field is to develop assays that reflect the overall biological and pharmacological processes involved in drug activation whilst retaining the simplicity and robustness required for routine chemosensitivity testing in a clinical setting.
Insights
Predicting chemotherapy response is complex. Targeting a single enzyme like NAD(P)H:Quinone oxidoreductase-1 (NQO1) for drugs like Mitomycin C (MMC) is insufficient due to multiple activating enzymes and biological factors.
Area of Science:
- Pharmacology
- Oncology
- Biochemistry
Background:
- Targeted therapeutics aim to personalize cancer treatment based on specific tumor markers.
- Previous attempts to predict chemotherapy response using single targets have yielded disappointing results.
- Mitomycin C (MMC) is a bioreductive anticancer drug requiring metabolic activation by cellular reductases.
Purpose of the Study:
- To evaluate the complexity of predicting tumor response to Mitomycin C (MMC) based on single enzyme expression.
- To explore the limitations of using NAD(P)H:Quinone oxidoreductase-1 (NQO1) as a sole predictor of MMC efficacy.
- To highlight the need for more comprehensive approaches in chemosensitivity testing.
Main Methods:
- Review of existing literature on Mitomycin C (MMC) activation and its correlation with tumor response.
- Analysis of the role of NAD(P)H:Quinone oxidoreductase-1 (NQO1) and other reductases in MMC metabolism.
- Consideration of physiological and biochemical factors influencing therapeutic outcomes.
Main Results:
- The relationship between NQO1 expression and tumor response to MMC is conflicting.
- Multiple reductases, not just NQO1, activate MMC, complicating prediction.
- Factors such as the tumor microenvironment and drug delivery influence treatment efficacy.
Conclusions:
- Predicting tumor response to bioreductive drugs like MMC based on a single enzyme target is overly simplistic.
- Future chemosensitivity assays must incorporate multiple biological and pharmacological processes for accurate prediction.
- Developing robust assays that reflect complex drug activation mechanisms is crucial for advancing targeted cancer therapy.
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