Prediction of response to endoscopic therapy of Barrett's dysplasia by using genetic biomarkers

Timmer Margriet R.; Brankley Shannon M.; Gorospe Emmanuel C.; Sun Gang; Lutzke Lori S.; Iyer Prasad G.; Halling Kevin C.; Krishnadath Kausilia K.; Wang Kenneth K.

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Prediction of response to endoscopic therapy of Barrett's dysplasia by using genetic biomarkers

机译：利用遗传生物标志物预测内窥镜治疗Barrett发育不良的反应

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Background: Endoscopic therapy for the treatment of high-grade dysplasia (HGD) and intramucosal cancer (IMC) in Barrett's esophagus (BE) may not always result in complete remission of dysplasia (CRD).

机译：背景：内镜治疗巴雷特食管（BE）的高度不典型增生（HGD）和粘膜内癌（IMC）可能并不总是导致完全不典型增生（CRD）的缓解。

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《Gastrointestinal Endoscopy》 |2014年第6期|共8页
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Timmer Margriet R.; Brankley Shannon M.; Gorospe Emmanuel C.; Sun Gang; Lutzke Lori S.; Iyer Prasad G.; Halling Kevin C.; Krishnadath Kausilia K.; Wang Kenneth K.;
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正文语种 eng
中图分类消化系及腹部疾病;
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1. Prediction of response to endoscopic therapy of Barrett's dysplasia by using genetic biomarkers [J] . Timmer Margriet R., Brankley Shannon M., Gorospe Emmanuel C., Gastrointestinal Endoscopy . 2014,第6期

机译：利用遗传生物标志物预测内窥镜治疗Barrett发育不良的反应
2. Biomarkers in Barrett's Esophagus Role in Diagnosis, Risk Stratification, and Prediction of Response to Therapy [J] . Bansal Ajay, Fitzgerald Rebecca C. Gastroenterology Clinics of North America . 2015,第2期

机译：Barrett食管在诊断，风险分层和对治疗反应的预测中的生物标志物
3. Utility of biomarkers in prediction of response to ablative therapy in Barrett's esophagus. [J] . Prasad GA, Wang KK, Halling KC, Gastroenterology . 2008,第2期

机译：生物标志物在预测Barrett食道对消融治疗的反应中的效用。
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. Prediction of Response to Endoscopic Therapy of Barrett’s Dysplasia using Genetic Biomarkers [O] . Margriet R. Timmer, Shannon M. Brankley, Emmanuel C. Gorospe, -1

机译：使用遗传生物标记物预测Barrett发育异常的内镜治疗反应
7. Prediction of response to endoscopic therapy of Barrett's dysplasia by using genetic biomarkers [O] . Timmer, Margriet R., Brankley, Shannon M., Gorospe, Emmanuel C., 2014

机译：使用遗传生物标记物预测内窥镜治疗Barrett发育不良的反应
8. Prediction of Response to Therapy and Clinical Outcome through a Pilot Study ofComplete Genetic Assessment of Ovarian Cancer. [R] . Matulonis, U. 2015

机译：通过对卵巢癌完全遗传学评估的初步研究预测治疗反应和临床结果。

Prediction of response to endoscopic therapy of Barrett's dysplasia by using genetic biomarkers

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