Literature DB >> 32710664

A nomogram for predicting axillary pathologic complete response in hormone receptor-positive breast cancer with cytologically proven axillary lymph node metastases.

Rong Guo1,2, Yonghui Su1,2, Jing Si1,2, Jingyan Xue1,2, Benlong Yang1,2, Qi Zhang1,2, Weiru Chi1,2, Jiajian Chen1,2, Yayun Chi1,2, Zhimin Shao1,2,3, Jiong Wu1,2,3.   

Abstract

BACKGROUND: The objective of this study was to determine an axillary pathologic complete response (pCR) and its influencing factors in patients with hormone receptor (HR)-positive breast cancer and cytologically proven axillary lymph node metastases. A prediction nomogram was established to provide information for the de-escalation of axillary management in these patients after neoadjuvant chemotherapy.
METHODS: The authors retrospectively enrolled all patients with HR-positive breast cancer in the neoadjuvant chemotherapy data set of Fudan University Shanghai Cancer Center. All data were prospectively collected. From 2007 to 2016, 533 consecutive patients were included. Multivariate logistic regression analysis was performed, after which a nomogram was constructed and validated.
RESULTS: An axillary pCR was achieved in 168 patients (31.5%), the which was much higher than the proportion of those who achieved a breast pCR (103 patients; 19.3%). Patients who had human epidermal growth factor receptor 2-positive disease (P = .004), a better primary tumor response (P = .001), earlier clinical stage (P = .045), and lower estrogen receptor expression (P < .001) were more likely to achieve a lymph node pCR. The nomogram indicated an area under the receiver operating characteristic curve (AUC) of 0.84 (95% CI, 0.78-0.89) in the training set. The validation set showed good discrimination with an AUC of 0.75 (95% CI, 0.69-0.81). The C-index was 0.834 and 0.756 in the training and validation cohort, respectively. The nomogram was well calibrated.
CONCLUSIONS: The authors developed and validated a nomogram for predicting axillary pCR in patients with HR-positive disease accurately by using clinicopathologic factors available before surgery. The model will facilitate logical clinical decision making and clinical trial design.
© 2020 American Cancer Society.

Entities:  

Keywords:  breast neoplasm; hormone receptor; lymph nodes; neoadjuvant therapy

Mesh:

Substances:

Year:  2020        PMID: 32710664     DOI: 10.1002/cncr.32830

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  4 in total

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Journal:  Front Surg       Date:  2022-06-09

2.  Establishment and Verification of a Predictive Model for Node Pathological Complete Response After Neoadjuvant Chemotherapy for Initial Node Positive Early Breast Cancer.

Authors:  Jiujun Zhu; Dechuang Jiao; Min Yan; Xiuchun Chen; Chengzheng Wang; Zhenduo Lu; Lianfang Li; Xianfu Sun; Li Qin; Xuhui Guo; Chongjian Zhang; Jianghua Qiao; Jianbin Li; Zhimin Fan; Haibo Wang; Jianguo Zhang; Yongmei Yin; Peifen Fu; Cuizhi Geng; Feng Jin; Zefei Jiang; Shude Cui; Zhenzhen Liu
Journal:  Front Oncol       Date:  2021-04-29       Impact factor: 6.244

3.  A Three lncRNA Set: AC009975.1, POTEH-AS1 and AL390243.1 as Nodal Efficacy Biomarker of Neoadjuvant Therapy for HER-2 Positive Breast Cancer.

Authors:  Zhao Bi; Peng-Fei Qiu; Yue Zhang; Xing-Guo Song; Peng Chen; Li Xie; Yong-Sheng Wang; Xian-Rang Song
Journal:  Front Oncol       Date:  2021-12-06       Impact factor: 6.244

4.  Accuracy of ultrasonographic changes during neoadjuvant chemotherapy to predict axillary lymph node response in clinical node-positive breast cancer patients.

Authors:  Zhuoxuan Li; Yiwei Tong; Xiaosong Chen; Kunwei Shen
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

  4 in total

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