CONTEXT: Antiangiogenic therapies have shown potential in the treatment of advanced thyroid cancer, but it is uncertain which patients are most likely to benefit from therapy. OBJECTIVE: This prespecified exploratory analysis investigated whether baseline levels and/or changes in circulating biomarkers could predict tumor response and/or progression-free survival (PFS) among patients enrolled in a phase 2 study of motesanib in advanced thyroid cancer. DESIGN/SETTING/PATIENTS: Patients with progressive locally advanced or metastatic medullary or differentiated thyroid cancer received motesanib 125 mg once daily for up to 48 wk in a phase 2 interventional study. Samples for assessment of circulating biomarkers of angiogenesis or apoptosis were collected at study wk 1 (baseline), 2, 4, 8, 16, 24, 32, 40, 48, and 4 wk after cessation of motesanib treatment. Tumor response was assessed per Response Evaluation Criteria in Solid Tumors by independent review. RESULTS: Change from baseline in serum placental growth factor (PlGF) after 1 wk of treatment correlated with best tumor response (Kendall rank correlation, 0.28; P < 0.0001). Using a Fisher exact test, the most significant separation between patients who had an objective response and those who did not was at a 4.7-fold increase in PlGF. The response rate among patients with a greater than 4.7-fold increase in PlGF was 30% compared with 3% below this threshold. There was also a significant separation between responders and nonresponders at a 1.6-fold decrease in soluble vascular endothelial growth factor (VEGF) receptor 2 after 3 wk of treatment. Patients with baseline serum VEGF less than 671 pg/ml had significantly longer PFS times than the remainder of patients. CONCLUSIONS: Changes in PlGF and soluble VEGF receptor 2 levels after initiation of therapy predicted response to motesanib in patients with advanced differentiated thyroid cancer or metastatic medullary thyroid cancer. Lower baseline VEGF levels were associated with longer PFS.
CONTEXT: Antiangiogenic therapies have shown potential in the treatment of advanced thyroid cancer, but it is uncertain which patients are most likely to benefit from therapy. OBJECTIVE: This prespecified exploratory analysis investigated whether baseline levels and/or changes in circulating biomarkers could predict tumor response and/or progression-free survival (PFS) among patients enrolled in a phase 2 study of motesanib in advanced thyroid cancer. DESIGN/SETTING/PATIENTS: Patients with progressive locally advanced or metastatic medullary or differentiated thyroid cancer received motesanib 125 mg once daily for up to 48 wk in a phase 2 interventional study. Samples for assessment of circulating biomarkers of angiogenesis or apoptosis were collected at study wk 1 (baseline), 2, 4, 8, 16, 24, 32, 40, 48, and 4 wk after cessation of motesanib treatment. Tumor response was assessed per Response Evaluation Criteria in Solid Tumors by independent review. RESULTS: Change from baseline in serum placental growth factor (PlGF) after 1 wk of treatment correlated with best tumor response (Kendall rank correlation, 0.28; P < 0.0001). Using a Fisher exact test, the most significant separation between patients who had an objective response and those who did not was at a 4.7-fold increase in PlGF. The response rate among patients with a greater than 4.7-fold increase in PlGF was 30% compared with 3% below this threshold. There was also a significant separation between responders and nonresponders at a 1.6-fold decrease in soluble vascular endothelial growth factor (VEGF) receptor 2 after 3 wk of treatment. Patients with baseline serum VEGF less than 671 pg/ml had significantly longer PFS times than the remainder of patients. CONCLUSIONS: Changes in PlGF and soluble VEGF receptor 2 levels after initiation of therapy predicted response to motesanib in patients with advanced differentiated thyroid cancer or metastatic medullary thyroid cancer. Lower baseline VEGF levels were associated with longer PFS.
Authors: E E W Cohen; M Tortorici; S Kim; A Ingrosso; Y K Pithavala; P Bycott Journal: Cancer Chemother Pharmacol Date: 2014-10-15 Impact factor: 3.333
Authors: Boban M Erovic; Dae Kim; Clarissa Cassol; David P Goldstein; Jonathan C Irish; Sylvia L Asa; Ozgur Mete Journal: Endocr Pathol Date: 2012-12 Impact factor: 3.943
Authors: David S Hong; Michael S Gordon; Wolfram E Samlowski; Razelle Kurzrock; Nizar Tannir; David Friedland; David S Mendelson; Nicholas J Vogelzang; Erik Rasmussen; Benjamin M Wu; Michael B Bass; Zhandong D Zhong; Gregory Friberg; Leonard J Appleman Journal: Clin Genitourin Cancer Date: 2013-11-13 Impact factor: 2.872