1. Automated and rapid detection of cancer in suspicious axillary lymph nodes in patients with breast cancer
- Author
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Juanjuan Li, Bradley M. Downs, Leslie M. Cope, Mary Jo Fackler, Xiuyun Zhang, Chuan-gui Song, Christopher VandenBussche, Kejing Zhang, Yong Han, Yufei Liu, Suzana Tulac, Neesha Venkatesan, Timothy de Guzman, Chuang Chen, Edwin W. Lai, Jingping Yuan, and Saraswati Sukumar
- Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Preoperative staging of suspicious axillary lymph nodes (ALNs) allows patients to be triaged to ALN dissection or to sentinel lymph node biopsy (SLNB). Ultrasound-guided fine needle aspiration (FNA) and cytology of ALN is moderately sensitive but its clinical utility relies heavily on the cytologist’s experience. We proposed that the 5-h automated GeneXpert system-based prototype breast cancer detection assay (BCDA) that quantitatively measures DNA methylation in ten tumor-specific gene markers could provide a facile, accurate test for detecting cancer in FNA of enlarged lymph nodes. We validated the assay in ALN-FNA samples from a prospective study of patients (N = 230) undergoing SLNB. In a blinded analysis of 218 evaluable LN-FNAs from 108 malignant and 110 benign LNs by histology, BCDA displayed a sensitivity of 90.7% and specificity of 99.1%, achieving an area under the ROC curve, AUC of 0.958 (95% CI: 0.928–0.989; P
- Published
- 2021
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