Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive prediction of triple negative breast cancer: a gene-expression-based retrospective study

Wang K.; Shi Y.; Li H.

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Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive prediction of triple negative breast cancer: a gene-expression-based retrospective study

机译：将免疫相关基因组特征与临床病理学特征相结合的载体验证，提高三重阴性乳腺癌预后及预测预测：基于基因表达的回顾性研究

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《The Breast :》 |2019年第1期|共2页
作者
Wang K.; Shi Y.; Li H.;
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作者单位

Chongqing Med Univ Affiliated Hosp 1 Dept Endocrine &

Breast Surg Chongqing Peoples R China;

Augusta Univ Med Coll Georgia Dept Populat Hlth Sci Div Biostat &

Data Sci Augusta GA USA;

Chongqing Med Univ Affiliated Hosp 1 Dept Endocrine &

Breast Surg Chongqing Peoples R China;

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正文语种 eng
中图分类胸部外科学;
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1. Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive prediction of triple negative breast cancer: a gene-expression-based retrospective study [J] . Wang K., Shi Y., Li H. The Breast : . 2019,第Suppla1期

机译：将免疫相关基因组特征与临床病理学特征相结合的载体验证，提高三重阴性乳腺癌预后及预测预测：基于基因表达的回顾性研究
2. Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive prediction of triple negative breast cancer: a gene-expression-based retrospective study [J] . Wang K., Shi Y., Li H. The Breast : . 2019,第期

机译：将免疫相关基因组特征与临床病理学特征相结合的载体验证，提高三重阴性乳腺癌预后及预测预测：基于基因表达的回顾性研究
3. Development and validation of nomograms integrating immune‐related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple‐negative breast cancer: A gene expression‐based retrospective study [J] . Kang Wang, Hai‐Lin Li, Yong‐Fu Xiong, Cancer Medicine . 2019,第2期

机译：将免疫相关基因组特征与临床病理学特征整合载体鉴定和验证，提高三阴性乳腺癌预后和预测值：基于基因表达的回顾性研究
4. Prognosis prediction of human breast cancer by integrating deep neural network and support vector machine: Supervised feature extraction and classification for breast cancer prognosis prediction [C] . Dongdong Sun, Minghui Wang, Huanqing Feng, International Congress on Image and Signal Processing, BioMedical Engineering and Informatics . 2017

机译：集成深度神经网络和支持向量机的人类乳腺癌预后预测：乳腺癌预后预测的有监督特征提取和分类
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. Development and validation of nomograms integrating immune‐related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple‐negative breast cancer: A gene expression‐based retrospective study [O] . Kang Wang, Hai‐Lin Li, Yong‐Fu Xiong, 2019

机译：结合免疫相关基因组特征和临床病理特征的诺模图的开发和验证以改善三阴性乳腺癌的预后和预测价值：一项基于基因表达的回顾性研究
7. >Development and Validation of Nomograms for Predicting the Prognosis of Triple-Negative Breast Cancer Patients Based on 379 Chinese Patients [O] . Hao Shi, Xiao-Hui Wang, Jun-Wei Gu, 2019

机译：>基于379例患者预测三阴性乳腺癌患者预后的载体验证

Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive prediction of triple negative breast cancer: a gene-expression-based retrospective study

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