Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer.

Y Sota; Y Naoi; R Tsunashima; N Kagara; K Shimazu; N Maruyama; A Shimomura; M Shimoda; K Kishi; Y Baba; S J Kim; S Noguchi

首页> 外文期刊>Annals of oncology: official journal of the European Society for Medical Oncology >Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer.

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Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer.

机译：构建新的免疫相关标记，用于预测人类乳腺癌对新辅助化疗的病理完全反应。

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The novel prediction model (IRSN-23) constructed with immune-related genes can predict pCR independently of the intrinsic subtypes and chemotherapeutic regimens.

机译：用免疫相关基因构建的新型预测模型（IRSN-23）可以独立于内在亚型和化疗方案预测pCR。

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《Annals of oncology: official journal of the European Society for Medical Oncology 》 |2014年第1期| 共7页
作者
Y Sota; Y Naoi; R Tsunashima; N Kagara; K Shimazu; N Maruyama; A Shimomura; M Shimoda; K Kishi; Y Baba; S J Kim; S Noguchi;
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中图分类肿瘤学 ;
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专利

1. Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer. [J] . Y Sota, Y Naoi, R Tsunashima, Annals of oncology: official journal of the European Society for Medical Oncology . 2014 ,第1期

机译：构建新的免疫相关标记，用于预测人类乳腺癌对新辅助化疗的病理完全反应。
2. Prediction of axillary pathologic response with breast pathologic complete response after neoadjuvant chemotherapy [J] . Choi Hee Jun, Ryu Jai Min, Kim Isaac, Breast cancer research and treatment. . 2019 ,第3期

机译：Neoadjuvant化疗后乳腺菌病理完全反应的腋生病理反应预测
3. Genome-wide DNA methylation signatures to predict pathologic complete response from combined neoadjuvant chemotherapy with bevacizumab in breast cancer [J] . Ping-Ching Hsu, Susan A. Kadlubar, Eric R. Siegel, PLoS One . 2020 ,第4期

机译：基因组宽的DNA甲基化签名，以预测乳腺癌贝伐单抗联合新辅助化疗的病理完全反应
4. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data [C] . Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, International Conference on Medical Image Computing and Computer-Assisted Intervention . 2020

机译：利用综合成像，分子和人口统计数据预测对乳腺癌新辅助化疗的病理完全反应
5. Development and Validation of a Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy for Breast Cancer. [D] . Yang, Victoria Qi. 2015

机译：诺法图的开发和验证，以预测对乳腺癌新辅助化学疗法的病理完全反应。
6. Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-Positive HER2-Negative Breast Cancer Patients [O] . Claudia Mazo, Stephen Barron, Catherine Mooney, 2020

机译：ER阳性HER2阴性乳腺癌患者对新辅助化疗的多基因预后签名和病理学完全缓解预测
7. Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-Positive, HER2-Negative Breast Cancer Patients [O] . Claudia Mazo, Stephen Barron, Catherine Mooney, 2020

机译：ER-阳性，HER2阴性乳腺癌患者Neoadjuvant化疗病理完全反应的多基因预后签名及预测

Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer.

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