PURPOSE: Clinical and pathologic prognostic factors do not always accurately predict disease outcome. Patients with early-stage breast cancer may harbor clinically significant but undetected systemic disease. We hypothesized that a multimarker quantitative real-time reverse transcription-PCR (qRT) assay could detect circulating tumor cells (CTC) in patients with early-stage breast cancer and correlate with sentinel lymph node (SLN) and non-SLN metastasis status. EXPERIMENTAL DESIGN: Blood samples from 90 women with the American Joint Committee on Cancer stages I to III breast cancer and 39 age-matched normal healthy volunteers were assessed by qRT for mRNA expression of three markers: stanniocalcin-1 (STC-1), N-acetylgalactosaminyltransferase (GalNacT), and melanoma antigen gene family-A3 (MAGE-A3). CTC biomarker detection was correlated with overall axillary LN (ALN), SLN, and non-SLN histopathology status. RESULTS: CTCs were detected in 39 of 90 (43%) patients, but not in normal volunteers. At least one CTC biomarker was detected in 10 of 35 (29%) stage I patients, 19 of 42 (45%) stage II patients, and 10 of 13 (77%) stage III patients. In multivariate analysis, only lymphovascular invasion and >or=2 CTC biomarkers detected significantly correlated with ALN metastasis [odds ratio (OR), 12.42; 95% confidence interval (95% CI), 3.52-43.77, P<0.0001; and OR, 3.88; 95% CI, 1.69-8.89, P=0.001, respectively]. The number of CTC biomarkers detected similarly correlated with SLN and non-SLN metastasis status (P=0.0004). At least one CTC biomarker was detected in 10 of 11 (91%) patients with non-SLN metastases. CONCLUSION: The detection of CTCs offers a novel means to assess the presence of systemic disease spreading relative to SLN and ALN histopathology status.
PURPOSE: Clinical and pathologic prognostic factors do not always accurately predict disease outcome. Patients with early-stage breast cancer may harbor clinically significant but undetected systemic disease. We hypothesized that a multimarker quantitative real-time reverse transcription-PCR (qRT) assay could detect circulating tumor cells (CTC) in patients with early-stage breast cancer and correlate with sentinel lymph node (SLN) and non-SLN metastasis status. EXPERIMENTAL DESIGN: Blood samples from 90 women with the American Joint Committee on Cancer stages I to III breast cancer and 39 age-matched normal healthy volunteers were assessed by qRT for mRNA expression of three markers: stanniocalcin-1 (STC-1), N-acetylgalactosaminyltransferase (GalNacT), and melanoma antigen gene family-A3 (MAGE-A3). CTC biomarker detection was correlated with overall axillary LN (ALN), SLN, and non-SLN histopathology status. RESULTS: CTCs were detected in 39 of 90 (43%) patients, but not in normal volunteers. At least one CTC biomarker was detected in 10 of 35 (29%) stage I patients, 19 of 42 (45%) stage II patients, and 10 of 13 (77%) stage III patients. In multivariate analysis, only lymphovascular invasion and >or=2 CTC biomarkers detected significantly correlated with ALN metastasis [odds ratio (OR), 12.42; 95% confidence interval (95% CI), 3.52-43.77, P<0.0001; and OR, 3.88; 95% CI, 1.69-8.89, P=0.001, respectively]. The number of CTC biomarkers detected similarly correlated with SLN and non-SLN metastasis status (P=0.0004). At least one CTC biomarker was detected in 10 of 11 (91%) patients with non-SLN metastases. CONCLUSION: The detection of CTCs offers a novel means to assess the presence of systemic disease spreading relative to SLN and ALN histopathology status.
Authors: Andy C-M Chang; Judy Doherty; Lily I Huschtscha; Richard Redvers; Christina Restall; Roger R Reddel; Robin L Anderson Journal: Clin Exp Metastasis Date: 2014-11-13 Impact factor: 5.150
Authors: Janice Lu; Tina Fan; Qiang Zhao; Wei Zeng; Eva Zaslavsky; John J Chen; Michael A Frohman; Marc G Golightly; Stefan Madajewicz; Wen-Tien Chen Journal: Int J Cancer Date: 2010-02-01 Impact factor: 7.396
Authors: María José Serrano; José Antonio Lorente; Miguel Delgado Rodríguez; Ana Fernández; Mónica Fernández; Capilla de la Torre; Jaime Fernández Izquierdo; Pedro Sánchez Rovira Journal: Clin Transl Oncol Date: 2011-03 Impact factor: 3.405
Authors: Mengxia Zhao; Perry G Schiro; Jason S Kuo; Karen M Koehler; Daniel E Sabath; Viorica Popov; Qinghua Feng; Daniel T Chiu Journal: Anal Chem Date: 2013-02-06 Impact factor: 6.986
Authors: Jayalakshmi Raman; Timothy A Fritz; Thomas A Gerken; Oliver Jamison; David Live; Mian Liu; Lawrence A Tabak Journal: J Biol Chem Date: 2008-06-18 Impact factor: 5.157
Authors: María José Serrano; Pedro Sánchez Rovira; I Martínez-Zubiaurre; Miguel Delgado Rodriguez; Mónica Fernández; Jose A Lorente Journal: Exp Ther Med Date: 2012-04-05 Impact factor: 2.447