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P53 Status as a Predictive Biomarker for Patients Receiving Neoadjuvant Radiation-Based Treatment: A Meta-Analysis in Rectal Cancer

机译：p53状态作为预测生物标志物患者接受新辅助放疗为主治疗的meta分析直肠癌

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BackgroundNumerous studies have yielded inconsistent results regarding the relationship between p53 status and the response to neoadjuvant radiation-based therapy in patients with rectal cancer. We conducted a meta-analysis to clarify the relationship between p53 status and response to radiation-based therapy in rectal cancer.

机译：背景：关于直肠癌患者中p53状态与对新辅助放射疗法的反应之间的关系，许多研究均得出不一致的结果。我们进行了一项荟萃分析，以阐明p53状态与直肠癌对放射治疗的反应之间的关系。

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Min-Bin Chen; Xiao-Yang Wu; Rong Yu; Chen Li; Li-Qiang Wang; Wei Shen; Pei-Hua Lu;
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年(卷),期 -1(7),9
年度 -1
页码 e45388
总页数 9
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专利

1. p53 and p27 as predictors of clinical outcome for rectal-cancer patients receiving neoadjuvant therapy. [J] . Lin LC, Lee HH, Hwang WS, Surgical oncology . 2006,第4期

机译：p53和p27可作为接受新辅助治疗的直肠癌患者临床预后的指标。
2. Predictive response biomarkers in rectal cancer neoadjuvant treatment [J] . Marco Agostini, Sara Crotti, Chiara Bedin, Frontiers in bioscience: a journal and virtual library . 2014,第1期

机译：直肠癌Neoadjuvant治疗中的预测反应生物标志物
3. Biomarkers and Molecular Imaging as Predictors of Response to Neoadjuvant Chemoradiotherapy in Patients With Locally Advanced Rectal Cancer [J] . Molinari Chiara, Matteucci Federica, Caroli Paola, Clinical colorectal cancer . 2015,第4期

机译：生物标志物和分子影像学可预测局部晚期直肠癌患者对新辅助放化疗的反应
4. Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers [C] . Siddhartha Nanda, Jacob T. Antunes, Kaustav Bera, Conference on Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling . 2020

机译：预处理DCE MRI的纹理动力学特征可预测直肠癌新辅助化学放疗后病理性肿瘤分期
5. Intenzivnej?e neoadjuvantno zdravljenje lokalno napredovalnega raka danke =Intensified neoadjuvant treatment of locally advanced rectal cancer [D] . Golo, Danijela. 2018

机译：强烈的Neoadjuvant治疗局部晚期癌症射线=加强Neoadjuvant治疗局部晚期直肠癌
6. Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients [O] . Aylin Alkan, Tobias Hofving, Eva Angenete, 2021

机译：基于生物标志物和基于细胞的模型以预测直肠癌患者Neoadjuvant治疗的结果
7. P53 Status as a Predictive Biomarker for Patients Receiving Neoadjuvant Radiation-Based Treatment: A Meta-Analysis in Rectal Cancer [O] . Min-bin Chen, Xiao-yang Wu, Rong Yu, 2016

机译：p53状态作为接受新辅助放射治疗的患者的预测生物标志物：直肠癌的meta分析
8. P53 Mutation Analysis to Predict Tumor Response in Patients Undergoing Neoadjuvant Treatment for Locally Advanced Breast Cancer [R] . Carey, L. A. , Dorsey, K. C. , Dressler, L. , 2006

机译：p53突变分析预测局部晚期乳腺癌新辅助治疗患者的肿瘤反应

P53 Status as a Predictive Biomarker for Patients Receiving Neoadjuvant Radiation-Based Treatment: A Meta-Analysis in Rectal Cancer

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