Lost in translation: Revisiting the use of tyrosine kinase inhibitors in colorectal cancer
Cancer Treatment Reviews, ISSN: 0305-7372, Vol: 110, Page: 102466
2022
- 8Citations
- 25Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations8
- Citation Indexes8
- Captures25
- Readers25
- 25
Review Description
Patients with advanced or metastatic colorectal cancer ((m)CRC) have limited effective treatment options resulting in high mortality rates. A better understanding of the molecular basis of this disease has led to growing interest in small molecule tyrosine kinase inhibitors (TKIs) for its treatment. However, of around 42 TKIs demonstrating preclinical anti-tumour activity, and despite numerous clinical trials, only 1 has been approved for clinical use in mCRC. Clearly, there is a huge gap in the translation of these targeted therapies to the clinic. This underlines the limitations of preclinical models to predict clinical drug efficacy and to fully characterize the mechanism of action. Moreover, several relevant topics remain poorly resolved. Do we know the actual intracellular concentrations that are required for anticancer efficacy, and what range of intra-tumoral drug concentrations is reached in clinical setting? Are the intended targeted kinases responsible for the anti-cancer activity or are other unexpected cellular targets involved? Do we have any idea of the effect of these drugs on the tumour microenvironment and does this help explain therapy success, failure or heterogeneity? In this review, we address these questions and discuss concepts that jointly complicate the clinical translation of TKIs for CRC. Finally, we will argue that an integrated approach with more sophisticated preclinical models and techniques may improve the prediction of clinical treatment efficacy.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0305737222001359; http://dx.doi.org/10.1016/j.ctrv.2022.102466; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85139077272&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/36183569; https://linkinghub.elsevier.com/retrieve/pii/S0305737222001359; https://dx.doi.org/10.1016/j.ctrv.2022.102466
Elsevier BV
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