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Prediction of Response to Multimodality Treatment inEsophageal Cancer 被引量:1
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作者 RalfMetzger HuanXi +5 位作者 FutoshiMiyazono hiroshihigashi UteWarnecke-Eberz StephanE.Baldus JanBrabender PaulM.Schneider 《The Chinese-German Journal of Clinical Oncology》 CAS 2004年第4期253-256,共4页
Patients with locally advanced esophageal cancer have a dismal prognosis when treated exclu- sively by surgery. This fact prompted many investigators to apply neoadjuvant treatment strategies in an e?ort to improve su... Patients with locally advanced esophageal cancer have a dismal prognosis when treated exclu- sively by surgery. This fact prompted many investigators to apply neoadjuvant treatment strategies in an e?ort to improve survival. Results from phase III randomized trials are encouraging however, they revealed 五笔字型计算机汉字输入技术 that only patients with major histopathological response will bene?t from treatment. Therefore, predic- tive molecular markers indicating response or non-response to neoadjuvant treatment would be extremely helpful in selecting patients for current and future treatment protocols. In this paper we review the role of the molecular markers ERCC1 (excision repair cross-complementing 1 gene) and c-erbB-2 (synonym: HER2/neu) in predicting response to radiochemotherapy and outcome for patients with locally advanced resectable esophageal cancers (cT2-4, Nx, M0). The results are promising and it appears that we might expect to unequivocally identify with ERCC1 and c-erbB-2 respectively, approximately up to one third of patients who ful?l the criteria for neoadjuvant treatment for locally advanced esophageal cancer but will not bene?t from our treatment protocol. Integration of such markers in the clinical setting might prevent a substantial number of patients from expensive, non-e?ective and potentially harmful therapies, and could lead to a more individualized type of combined multimodality treatment in the near future. 展开更多
关键词 esophageal cancer response prediction multimodality therapy neoadjuvant radiochemotherapy ERCC1 C-ERBB-2
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