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Automated and rapid detection of cancer in suspicious axillary lymph nodes in patients with breast cancer
npj Breast Cancer ( IF 5.9 ) Pub Date : 2021-07-07 , DOI: 10.1038/s41523-021-00298-6
Juanjuan Li 1, 2 , Bradley M Downs 2 , Leslie M Cope 2 , Mary Jo Fackler 2 , Xiuyun Zhang 3 , Chuan-Gui Song 4 , Christopher VandenBussche 5 , Kejing Zhang 6 , Yong Han 7 , Yufei Liu 8 , Suzana Tulac 9 , Neesha Venkatesan 9 , Timothy de Guzman 9 , Chuang Chen 1 , Edwin W Lai 9 , Jingping Yuan 3 , Saraswati Sukumar 2
Affiliation  

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 < 0.0001). Next, we conducted a study of archival FNAs of ipsilateral palpable LNs (malignant, 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 < 0.0001). Our study shows that the automated assay detects cancer in suspicious lymph nodes with a high level of accuracy within 5 h. This cancer detection assay, scalable for analysis to scores of LN FNAs, could assist in determining eligibility of patients to different treatment regimens.



中文翻译:

自动快速检测乳腺癌患者可疑腋窝淋巴结中的癌症

可疑腋窝淋巴结 (ALN) 的术前分期允许将患者分类为 ALN 清扫或前哨淋巴结活检 (SLNB)。超声引导下的细针穿刺 (FNA) 和 ALN 细胞学检查具有中等敏感性,但其临床实用性在很大程度上依赖于细胞学家的经验。我们提出,基于 GeneXpert 系统的 5 小时自动化原型乳腺癌检测试验 (BCDA) 可以定量测量十种肿瘤特异性基因标记中的 DNA 甲基化,可以为检测肿大淋巴结 FNA 中的癌症提供一种简便、准确的测试。我们在来自患者前瞻性研究的 ALN-FNA 样本中验证了该检测(N = 230) 正在接受 SLNB。在对来自 108 个恶性和 110 个良性 LN 的 218 个可评估 LN-FNA 的组织学盲法分析中,BCDA 显示出 90.7% 的敏感性和 99.1% 的特异性,实现了 ROC 曲线下面积,AUC 为 0.958(95% CI:0.928) –0.989;P  < 0.0001)。接下来,我们对 在新辅助化疗 (NAC) 之前在门诊环境中收集的同侧可触及 LN(恶性,N  = 72,良性,细胞学N = 53)的存档 FNA 进行了研究。使用前瞻性研究中确定的 ROC 阈值,与细胞学相比,BCDA 的敏感性为 94.4%,特异性为 92.5%,ROC-AUC = 0.977(95% CI:0.953–1.000;P < 0.0001)。我们的研究表明,自动化检测可在 5 小时内以高准确度检测可疑淋巴结中的癌症。这种癌症检测分析可扩展到分析 LN FNA 的分数,可以帮助确定患者是否适合不同的治疗方案。

更新日期:2021-07-08
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