MicroRNAs as predictive biomarkers of response to tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma
| Authors | |
|---|---|
| Year of publication | 2018 |
| Type | Article in Periodical |
| Magazine / Source | Clinical Chemistry and Laboratory medicine |
| MU Faculty or unit | |
| Citation | |
| Web | https://www.degruyter.com/view/j/cclm.2018.56.issue-9/cclm-2017-0861/cclm-2017-0861.xml |
| Doi | http://dx.doi.org/10.1515/cclm-2017-0861 |
| Keywords | miRNAs; prediction; renal cell carcinoma; sunitinib; tyrosine kinase inhibitor |
| Description | Renal cell carcinoma (RCC) accounts for 2%-3% of all malignant tumours. The first-choice treatment in metastatic RCC (mRCC) patients is tyrosine kinase inhibitors (TKIs). Although TKIs may prolong survival of the treated patients who are not primary resistant, almost all of them will eventually develop secondary resistance to the treatment after a progression-free period. To predict treatment response, thus, we need efficient biomarkers for rational indication of TKIs in mRCC. MicroRNAs (miR-NAs) not only play important roles in the pathogenesis of many cancers, including RCC but also have been shown to serve as promising diagnostic, prognostic and predictive biomarkers in various cancers. However, the potential of miRNAs to predict response to therapy with TKIs in mRCC has not yet gained sufficient attention. Because personalisation of the TKIs indication in mRCC presents an important unmet medical need, we summarise research on this topic and give an overall insight on the current knowledge in this field. |
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