Journal of Clinical Laboratory Analysis · 2019 · 27 citations · 16 references
MedicineOncologyPathologyBreast OncologySurgical OncologyTumor PathologyBreast Cancer OncologyBreast Cancer SurgeryBreast Lesion CharacterizationBreast PathologyBreast SurgeryTumor MarkersBenign Breast NeoplasmsBenign Breast TumorsBreast Lesion DiagnosisBreast Mass AssessmentCancer Antigen 125Predictive Tumor MarkersPrognostic Tumor MarkersSerum Tumor Markers
BACKGROUND: The utility of frequently used serum tumor markers in breast cancer remains controversial. The study aimed to investigate the role of preoperative carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), cancer antigen 153 (CA153), cancer antigen 724 (CA724), and ferritin (FER) in the management of breast cancer and their relationships with pathological features. METHODS: A total of 804 patients with breast mass who underwent breast surgery and 305 healthy volunteers were enrolled. Preoperative serum levels of CEA, CA125, CA153, CA724, and FER were measured. And the pathological features of all the patients were recorded. The association of preoperative serum tumor markers and pathological features was analyzed. RESULTS: Among the 804 patients, 355 were identified as malignant cases and 449 as benign cases. CEA, CA153, and FER of patients with breast cancer were higher than those of healthy volunteer group and patients with benign breast diseases. The area under curve (AUC) of CEA, CA153, and FER for distinguishing patients with breast cancer and subjects with non-breast cancer was 0.688 (95% CI: 0.656-0.721), 0.609 (95% CI: 0.574-0.645), and 0.623 (95% CI: 0.586-0.660), respectively. CA153 correlated with tumor size, node status, and TNM stage, whereas CA125 with node status. No statistic differences of the five markers were observed among the four molecular subtypes. CONCLUSION: Preoperative levels of CEA, CA153, and FER exhibit low diagnostic accuracy for breast cancer (stage I-III). CA153 correlates with tumor burden, suggesting its prognostic value. The five serum markers do not correlate with molecular subtypes.
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Cancer statistics in China, 2015
Wanqing Chen, Rongshou Zheng, Peter D. Baade et al. · CA A Cancer Journal for Clinicians · 2016 · 18K citations · Full text
Triple-Negative Breast Cancer: Clinical Features and Patterns of Recurrence
Rebecca Dent, Maureen Trudeau, Kathleen I. Pritchard et al. · Clinical Cancer Research · 2007 · 5.1K citations · Full text
Aron Goldhirsch, W. C. Wood, Alan S. Coates et al. · Annals of Oncology · 2011 · 3.9K citations · Full text
Medicine, Oncology, Breast Oncology +16