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CiteWeb id: 20090000226

CiteWeb score: 2894

DOI: 10.1056/NEJMoa040766

background We tested the hypothesis that the level of circulating tumor cells can predict survival in metastatic breast cancer. methods In a prospective, multicenter study, we tested 177 patients with measurable metastatic breast cancer for levels of circulating tumor cells both before the patients were to start a new line of treatment and at the first follow-up visit. The progression of the disease or the response to treatment was determined with the use of standard imaging studies at the participating centers. results Outcomes were assessed according to levels of circulating tumor cells at baseline, before the patients started a new treatment for metastatic disease. Patients in a training set with levels of circulating tumor cells equal to or higher than 5 per 7.5 ml of whole blood, as compared with the group with fewer than 5 circulating tumor cells per 7.5 ml, had a shorter median progression-free survival (2.7 months vs. 7.0 months, P 18 months, P 18 months; P<0.001), and the reduced proportion of patients (from 49 percent to 30 percent) in the group with an unfavorable prognosis suggested that there was a benefit from therapy. The multivariate Cox proportional-hazards regression showed that, of all the variables in the statistical model, the levels of circulating tumor cells at baseline and at the first follow-up visit were the most significant predictors of progression-free and overall survival. conclusions The number of circulating tumor cells before treatment is an independent predictor of progression-free survival and overall survival in patients with metastatic breast cancer.

The publication "Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Medicine it is included to the Top 1000. Additionally, the publicaiton "Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer" is placed in the Top 1000 among other scientific works published in 2009.
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