A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients.
A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients.
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DOI：
10.1038/srep32585
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发表时间：
2016-08-31
影响因子：
4.6
通讯作者：
Di GH
中科院分区：
文献类型：
--
作者：
Jin X;Jiang YZ;Chen S;Shao ZM;Di GH
前哨淋巴结活检（SLNB）在新辅助化疗（NCT）后患者中的价值仍存在争议。我们的目的是确定预测因子，并构建一个诺模图，用于预测淋巴结阳性乳腺癌患者NCT后腋窝淋巴结（ALNs）的病理完全缓解（pCR）。总共入组了426例在NCT前经病理证实的ALN转移患者，按1：1的比例随机分组，并分为训练集和验证集。我们基于通过多变量逻辑回归确定的ALN pCR的独立预测因子以及临床显著性预测因子开发了列线图。多因素Logistic回归分析显示，激素受体（HR）状态、人表皮生长因子2（HER2）状态和Ki67指数是独立的预测因子。因此，由这些独立的预测因子以及肿瘤大小和NCT方案构建列线图。训练集和验证集的受试者工作特征曲线下面积分别为0.804和0.749。我们构建了一个诺模图，用于预测接受NCT的患者的ALN pCR。我们的列线图可以改善风险分层，准确预测NCT后ALN状态，避免不必要的ALN剥离。
The value of sentinel lymph node biopsy (SLNB) in post-neoadjuvant chemotherapy (NCT) patients is still controversial. We aimed to identify predictors and construct a nomogram for predicting the pathologically complete response (pCR) of axillary lymph nodes (ALNs) after NCT in node positive breast cancer patients. In total, 426 patients with pathologically proven ALN metastasis before NCT were enrolled, randomized 1:1 and divided into a training set and a validation set. We developed a nomogram based on independent predictors for ALN pCR identified by multivariate logistic regression as well as clinical significant predictors. The multivariate logistic regression analysis showed that hormone receptor (HR) status, human epidermal growth factor 2 (HER2) status and Ki67 index were independent predictors. The nomogram was thereby constructed by those independent predictors as well as tumor size and NCT regimens. The areas under the receiver operating characteristic curve of the training set and the validation set were 0.804 and 0.749, respectively. We constructed a nomogram for predicting ALN pCR in patients who received NCT. Our nomogram can improve risk stratification, accurately predict post-NCT ALN status and avoid unnecessary ALN dissection.
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影响因子：
2.1
作者：
Precht, Lisa M.;Lowe, Kimberly A.;Beatty, J. David
通讯作者：
Beatty, J. David
影响因子：
45.3
作者：
Rouzier, R;Pusztai, L;Hortobagyi, GN
通讯作者：
Hortobagyi, GN
影响因子：
50.5
作者：
TASMUTH, T;VONSMITTEN, K;KALSO, E
通讯作者：
KALSO, E
影响因子：
120.7
作者：
Boughey, Judy C.;Suman, Vera J.;Mittendorf, Elizabeth A.;Ahrendt, Gretchen M.;Wilke, Lee G.;Taback, Bret;Leitch, A. Marilyn;Kuerer, Henry M.;Bowling, Monet;Flippo-Morton, Teresa S.;Byrd, David R.;Ollila, David W.;Julian, Thomas B.;McLaughlin, Sarah A.;McCall, Linda;Symmans, W. Fraser;Le-Petross, Huong T.;Haffty, Bruce G.;Buchholz, Thomas A.;Nelson, Heidi;Hunt, Kelly K.
通讯作者：
Hunt, Kelly K.
影响因子：
45.3
作者：
Hack, TF;Cohen, L;Goss, P
通讯作者：
Goss, P