BACKGROUND: Evaluating circulating tumor cells (CTCs) is one way to predict outcome and monitor treatment in patients with MBC. In this prospective study, we evaluated CTCs in predicting treatment efficacy and overall survival (OS) using the CellSearch System (Veridex, LLC, Raritan, NJ). METHODS: One hundred nineteen patients with MBC with measurable disease were enrolled. Samples of 7.5 ml of blood from 107 eligible patients were tested for CTCs before starting therapy (baseline), after one cycle of therapy (3-4 weeks) and at 12 weeks. We compared CTC levels and imaging at baseline and at 12 weeks. Next, we determined the hazard ratios (HR) by comparing cases with zero CTCs to those with one or more CTCs. Moreover, HR was calculated when comparing cases that had greater than or equal to a certain number of CTCs to those with less than the number of CTCs. RESULTS: This study shows the incidence of detection of CTCs in patients with metastatic breast cancers. Of the patients, 64.4% (76/118) had one or more CTCs, and 37.3% (44/118) had five or more CTCs. First we set the baseline number of CTCs as 100%. Of the seven cases whose level of CTCs decreased more than 90%, six (85.7%) demonstrated a positive response (complete response and partial response) by imaging after one cycle (3-4 weeks later). For the patients whose CTC levels increased above 100% after one cycle (3-4 weeks later), 7 of 11 (63.6%) had progressive disease (PD). The HR for cases with five to ten CTCs was greater than 1.00 [HR = 2.450; 95% confidence interval (CI) 0.727-8.248]. Statistical significance was observed when comparing patients who had > or =3 CTCs to those with <3 CTCs (P = 0.0273). When comparing cases with > or =5 CTCs to those with <5 CTCs, the hazard ratio was 3.069 (95% CI 1.496-6.295; P = 0.0022). CONCLUSIONS: Because the change in the number of CTCs was highly correlated with results from imaging before and after therapy, CTCs can be considered a biomarker that may predict the effect of treatment earlier than imaging modalities.
BACKGROUND: Evaluating circulating tumor cells (CTCs) is one way to predict outcome and monitor treatment in patients with MBC. In this prospective study, we evaluated CTCs in predicting treatment efficacy and overall survival (OS) using the CellSearch System (Veridex, LLC, Raritan, NJ). METHODS: One hundred nineteen patients with MBC with measurable disease were enrolled. Samples of 7.5 ml of blood from 107 eligible patients were tested for CTCs before starting therapy (baseline), after one cycle of therapy (3-4 weeks) and at 12 weeks. We compared CTC levels and imaging at baseline and at 12 weeks. Next, we determined the hazard ratios (HR) by comparing cases with zero CTCs to those with one or more CTCs. Moreover, HR was calculated when comparing cases that had greater than or equal to a certain number of CTCs to those with less than the number of CTCs. RESULTS: This study shows the incidence of detection of CTCs in patients with metastatic breast cancers. Of the patients, 64.4% (76/118) had one or more CTCs, and 37.3% (44/118) had five or more CTCs. First we set the baseline number of CTCs as 100%. Of the seven cases whose level of CTCs decreased more than 90%, six (85.7%) demonstrated a positive response (complete response and partial response) by imaging after one cycle (3-4 weeks later). For the patients whose CTC levels increased above 100% after one cycle (3-4 weeks later), 7 of 11 (63.6%) had progressive disease (PD). The HR for cases with five to ten CTCs was greater than 1.00 [HR = 2.450; 95% confidence interval (CI) 0.727-8.248]. Statistical significance was observed when comparing patients who had > or =3 CTCs to those with <3 CTCs (P = 0.0273). When comparing cases with > or =5 CTCs to those with <5 CTCs, the hazard ratio was 3.069 (95% CI 1.496-6.295; P = 0.0022). CONCLUSIONS: Because the change in the number of CTCs was highly correlated with results from imaging before and after therapy, CTCs can be considered a biomarker that may predict the effect of treatment earlier than imaging modalities.
Authors: Antonio Giordano; Brian L Egleston; David Hajage; Joseph Bland; Gabriel N Hortobagyi; James M Reuben; Jean-Yves Pierga; Massimo Cristofanilli; Francois-Clement Bidard Journal: Clin Cancer Res Date: 2013-01-22 Impact factor: 12.531