Abstract 3696A: The detection and prediction of circulating tumor cells in breast cancer patients
Tim Molloy, Helgi H. Helgason, Astrid Bosma, Laura J. van’t Veer
Abstract
Tim Molloy, Helgi H. Helgason, Astrid Bosma, Laura J. van’t Veer
Abstract
Abstract The detection of circulating tumor cells (CTC) in the blood of cancer patients is a promising tool for risk stratification, treatment tailoring, and monitoring of the disease state. The current study aims to develop a QPCR-based detection platform for the semi-quantitation of tumor cell load in the peripheral blood of breast cancer patients by combining gene expression data from 4 tumor marker genes into a single index-score. From a cohort of 131 individuals, CTC index-score positivity, indicating tumor cell presence, was observed in 14 out of 16 (88%) metastatic patients, 16 out of 87 (18%) non-metastatic stage I-III patients, and 0 out of 28 (0%) healthy female controls. A previous study demonstrated that CTC index-score positivity in metastatic patients correlated to a significantly shorter time to disease progression. This CTC detection platform demonstrates high specificity (100%) and sensitivity (88%), and can be an effective clinical tool providing valuable prognostic information. This CTC detection assay was subsequently compared to a CTC prediction assay developed using microarray expression data from the primary tumors of the patients from the same cohort. From 73 patients, a CTC predictive tumor profile was developed with the ability to distinguish those patients with a positive CTC QPCR index-score from those with a negative index-score with an average 83% internal cross-validation accuracy. When a small independent test set was assayed, those patients classified on the basis of their tumor gene expression as having a positive CTC QPCR score had a shorter interval to metastasis development (mean = 29.6 months) versus those predicted to have a negative score (mean = 51.4 months). When the QPCR-based and microarray-based CTC assays were compared directly, and each in combination with the “70-gene prognosis signature” for distant metastasis prediction, the CTC predictive microarray assay was superior to the CTC QPCR assay both alone and in combination with the 70-gene profile for time interval to metastasis. This study demonstrates that a microarray model predictive of tumor cell dissemination has prognostic value and seems independent of other metastasis-predictive microarray profiles.
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Abstract The detection of circulating tumor cells (CTC) in the blood of cancer patients is a promising tool for risk stratification, treatment tailoring, and monitoring of the disease state. The current study aims to develop a QPCR-based detection platform for the semi-quantitation of tumor cell load in the peripheral blood of breast cancer patients by combining gene expression data from 4 tumor marker genes into a single index-score. From a cohort of 131 individuals, CTC index-score positivity, indicating tumor cell presence, was observed in 14 out of 16 (88%) metastatic patients, 16 out of 87 (18%) non-metastatic stage I-III patients, and 0 out of 28 (0%) healthy female controls. A previous study demonstrated that CTC index-score positivity in metastatic patients correlated to a significantly shorter time to disease progression. This CTC detection platform demonstrates high specificity (100%) and sensitivity (88%), and can be an effective clinical tool providing valuable prognostic information. This CTC detection assay was subsequently compared to a CTC prediction assay developed using microarray expression data from the primary tumors of the patients from the same cohort. From 73 patients, a CTC predictive tumor profile was developed with the ability to distinguish those patients with a positive CTC QPCR index-score from those with a negative index-score with an average 83% internal cross-validation accuracy. When a small independent test set was assayed, those patients classified on the basis of their tumor gene expression as having a positive CTC QPCR score had a shorter interval to metastasis development (mean = 29.6 months) versus those predicted to have a negative score (mean = 51.4 months). When the QPCR-based and microarray-based CTC assays were compared directly, and each in combination with the “70-gene prognosis signature” for distant metastasis prediction, the CTC predictive microarray assay was superior to the CTC QPCR assay both alone and in combination with the 70-gene profile for time interval to metastasis. This study demonstrates that a microarray model predictive of tumor cell dissemination has prognostic value and seems independent of other metastasis-predictive microarray profiles.
Key concepts: Circulating tumor cell, Medicine, Oncology, Internal medicine, Breast cancer, Cohort, Cancer, Stage (stratigraphy)