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Updated: May 8, 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
New cast for a new era: preclinical cancer drug development revisited
Grit S Herter-Sprie1, Andrew L Kung, Kwok-Kin Wong
1Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Abstract:
Molecularly targeted agents promise to revolutionize therapeutics by reducing morbidity and mortality in patients with cancer. However, despite an urgent need for more effective anticancer compounds, current preclinical drug evaluations largely fail to satisfy the demand. New preclinical strategies, including the improvement of sophisticated mouse models and co-clinical study designs, are being used to augment the predictive value of animal-based translational cancer research. Here, we review the development of successful preclinical antineoplastic agents, their associated limitations, and alternative methods to predict clinical outcomes.
Insights
Molecularly targeted agents offer cancer treatment promise, but preclinical evaluations often fall short. Improved mouse models and co-clinical studies aim to enhance the prediction of clinical outcomes for novel anticancer drugs.
Area of Science:
- Oncology
- Translational Research
- Drug Development
Background:
- Molecularly targeted agents represent a promising therapeutic strategy for cancer treatment, aiming to reduce patient morbidity and mortality.
- Current preclinical drug evaluations demonstrate limitations in accurately predicting clinical efficacy, highlighting an urgent need for improved methodologies.
- Despite the need for effective anticancer compounds, existing preclinical models often fail to meet the demands of drug development.
Purpose of the Study:
- To review the development of successful preclinical antineoplastic agents.
- To discuss the limitations associated with current preclinical drug evaluation methods.
- To explore alternative strategies for predicting clinical outcomes in cancer research.
Main Methods:
- Review of existing literature on preclinical antineoplastic agents.
- Analysis of limitations in current preclinical cancer models.
- Examination of novel preclinical strategies, including advanced mouse models and co-clinical study designs.
Main Results:
- Successful preclinical antineoplastic agents have been developed, but their translation to clinical success is often hindered by limitations in predictive models.
- Sophisticated mouse models and co-clinical study designs are emerging as key strategies to improve the predictive value of translational cancer research.
- Current preclinical evaluations frequently lack the necessary accuracy to reliably predict the clinical performance of anticancer drugs.
Conclusions:
- Enhancing preclinical strategies is crucial for improving the success rate of molecularly targeted agents in cancer therapy.
- Advanced preclinical models and co-clinical studies hold significant potential to bridge the gap between laboratory findings and clinical outcomes.
- Further development and validation of innovative preclinical methods are essential to accelerate the delivery of effective anticancer therapies to patients.
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