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Methylation-To-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, And Pathologic Complete Response in Multiple Cohorts

机译：乳腺癌的甲基化至表达特征模型准确地预测了多个队列中的整体存活率，远程复发自由存活和病理完全反应

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Jeffrey A. Thompson; Brock C. Christensen; Carmen J. Marsit;
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2. Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts [J] . Jeffrey A. Thompson, Brock C. Christensen, Carmen J. Marsit Scientific reports. . 2018,第1期

机译：乳腺癌的甲基化表达特征模型可准确预测多组人群的总体生存期，无远处复发生存期和病理学完全缓解
3. Axillary lymph node status, adjusted for pathologic complete response in breast and axilla after neoadjuvant chemotherapy, predicts differential disease-free survival in breast cancer [J] . C.Y. Ren, F.P. Xu, G.C. Zhang, Current oncology . 2013,第3期

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4. Variables Associated to Pathologic Complete Response, Overall Survival and Disease-Free Survival in the Neoadjuvant Setting for Esophageal Cancer: A Retrospective Cohort Analysis [J] . Takeda Flavio Roberto, Viyuela Mateus Silva, da Cruz Junior Jurandir Batista, International surgery . 2018,第4期

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5. Kernel Mixture Survival Models for Identifying Cancer Subtypes, Predicting Patients Cancer Types and Survival Probabilities [C] . Tomohiro Ando, Seiya Imoto, Satoru Miyano International Workshop on Bioinformatics and Systems Biology . 2004

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6. Using Preoperative Mri-guided Biopsies to Predict Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer [D] . Kim, Jiyoon. 2019

机译：在乳腺癌新辅助化疗后使用术前Mri引导的活检来预测病理完全缓解
7. Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival Distant-Recurrence Free Survival and Pathologic Complete Response in Multiple Cohorts [O] . Jeffrey A. Thompson, Brock C. Christensen, Carmen J. Marsit -1

机译：乳腺癌的甲基化表达特征模型可准确预测多个人群的总体生存率无复发生存率和病理学完全缓解
8. Axillary Lymph Node Status, Adjusted for Pathologic Complete Response in Breast and Axilla after Neoadjuvant Chemotherapy, Predicts Differential Disease-Free Survival in Breast Cancer [O] . G.C. Zhang, Y.F. Zhang, F.P. Xu, 2013

机译：腋窝淋巴结状态，用于乳腺和腋窝的病理完全反应进行新辅助化疗后，预测乳腺癌中的差异无病生存率

Methylation-To-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, And Pathologic Complete Response in Multiple Cohorts

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