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Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers

机译：筛选生物标志物，用于预测乳腺癌化疗后的反应和预后

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Yu Zhao; Feng Bing;
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1. Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers [J] . Feng Bing, Yu Zhao OncoTargets and therapy . 2016,第6期

机译：筛选可预测乳腺癌化疗后反应和预后的生物标志物
2. Biomarkers from in vivo molecular imaging of breast cancer: pretreatment F-18-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy [J] . Gallivanone Francesca, Panzeri Marta Maria, Canevari Carla, Magma: Magnetic resonance materials in physics, biology, and medicine . 2017,第4期

机译：来自体内分子成像的生物标志物的乳腺癌：预处理F-18-FDG宠物预测患者预后，预处理DWI-MR预测对新辅助化疗的反应
3. The early prediction of pathological response to neoadjuvant chemotherapy and prognosis: comparison of PET Response Criteria in Solid Tumors and European Organization for Research and Treatment of Cancer criteria in breast cancer [J] . Weiling Lian, Cheng Liu, Bingxin Gu, Nuclear Medicine Communications . 2020,第3期

机译：对新辅助化疗和预后病理反应的早期预测：实体肿瘤宠物响应标准的比较及欧洲乳腺癌癌症标准研究与治疗癌症标准
4. Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers* [C] . Hadi Moghadas-Dastjerdi, Hira R. Sha-E-Tallat, Lakshmanan Sannachi, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2020

机译：基于纹理学习生物标志物的乳腺癌患者基于机器学习的先验化学疗法反应预测*
5. Combining biomarkers and clinicopathologic factors for prediction of response to adjuvant chemotherapy for breast cancer: Cox model and Support Vector Machine (SVM) methods. [D] . Liu, Xudong. 2010

机译：结合生物标志物和临床病理因素预测乳腺癌对辅助化疗的反应：Cox模型和支持向量机（SVM）方法。
6. Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers [O] . Feng Bing, Yu Zhao 2016

机译：筛选可预测乳腺癌化疗后反应和预后的生物标志物
7. Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy [O] . Francesca Gallivanone, Marta Maria Panzeri, Carla Canevari, 2017

机译：乳腺癌体内分子成像的生物标志物：预处理18F-FDG PET可以预测患者的预后，而预处理DWI-MR可以预测对新辅助化疗的反应
8. Identification of New Serum Biomarkers for Early Breast Cancer Diagnosis and Prognosis Using Lipid Microarrays [R] . Du, G. 2008

机译：用脂质微阵列鉴定新的血清生物标志物用于早期乳腺癌的诊断和预后

Screening of biomarkers for prediction of response to and prognosis after chemotherapy for breast cancers

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