Predictors of Response and Survival to Multikinase Inhibitors in Radioiodine Resistant Differentiated Thyroid Cancer

被引:9
作者
Feola, Tiziana [1 ,2 ]
Cozzolino, Alessia [1 ]
Centello, Roberta [1 ]
Pandozzi, Carla [1 ]
Tarsitano, Maria Grazia [1 ]
Giannetta, Elisa [1 ]
机构
[1] Sapienza Univ Rome, Dept Expt Med, I-00161 Rome, Italy
[2] IRCCS, Neuromed Inst, Neuroendocrinol, I-86077 Pozzilli, Italy
来源
JOURNAL OF PERSONALIZED MEDICINE | 2021年 / 11卷 / 07期
关键词
multikinase inhibitors; sorafenib; lenvatinib; differentiated thyroid cancer; radioiodine resistance; predictive marker; predictors; response to treatment; survival; EXPLORATORY ANALYSIS; ASSOCIATION GUIDELINES; SERUM THYROGLOBULIN; CLINICAL-OUTCOMES; LENVATINIB; SORAFENIB; CARCINOMA; METASTASES; MANAGEMENT; PAPILLARY;
D O I
10.3390/jpm11070674
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Sorafenib and lenvatinib are the only multikinase inhibitors (MKIs) approved for the treatment of radioactive iodine refractory differentiated thyroid cancer (RR-DTC). Although they have been demonstrated to improve progression free survival and overall response rate, the risk of toxicities is very high, worsening patients' quality of life. Therefore, predicting MKI treatment outcomes in the setting of RR-DTC is very challenging for optimizing patients' management. The current review provides an overview of the predictive factors for the response and survival of sorafenib and lenvatinib in RR-DTC. In this setting, a systemic therapy should be considered after conducting a multidisciplinary discussion aimed at evaluating the risk-benefit ratio of the treatment and taking into account several clinical, biochemical, and molecular factors. Age, performance status, and cancer-related symptoms are the most important clinical markers to be considered prior to starting MKI treatment, together with tumor burden. Some tissue and circulating biomarkers have been investigated, those involved in the angiogenic pathways being the most promising. Finally, prospective clinical trials aimed at evaluating predictive markers for therapeutic response are needed for tailoring patient management and allowing more appropriate treatment choices.
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页数:16
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