Automated and rapid detection of cancer in suspicious axillary lymph nodes in patients with breast cancer

Autor: Neesha Venkatesan, Jingping Yuan, Suzana Tulac, Chuang Chen, Mary Jo Fackler, Bradley M. Downs, Chuan gui Song, Juanjuan Li, Yufei Liu, Kejing Zhang, Timothy de Guzman, Leslie Cope, Xiuyun Zhang, Christopher J. VandenBussche, Saraswati Sukumar, Yong Han, Edwin W. Lai
Rok vydání: 2021
Předmět:
Zdroj: NPJ Breast Cancer
npj Breast Cancer, Vol 7, Iss 1, Pp 1-9 (2021)
ISSN: 2374-4677
DOI: 10.1038/s41523-021-00298-6
Popis: 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 N = 72, benign, N = 53 by cytology) collected in the outpatient setting prior to neoadjuvant chemotherapy (NAC). Using the ROC-threshold determined in the prospective study, compared to cytology, BCDA achieved a sensitivity of 94.4% and a specificity of 92.5% with a ROC-AUC = 0.977 (95% CI: 0.953–1.000; P
Databáze: OpenAIRE