Obesity is an independent prognostic factor of decreased pathological complete response to neoadjuvant chemotherapy in breast cancer patients
作者: Fatih KaratasGokmen Umut ErdemSuleyman SahinAydin AytekinDeniz YuceAli R. SeverTaner BabacanOzturk AtesYavuz OzisikKadri Altundag
作者单位: 1Diskapi Yildirim Beyazit Education and Training Hospital, Department of Medical Oncology, Ankara, Turkey
2Ankara Numune Education and Training Hospital, Department of Medical Oncology, Ankara, Turkey
3Gazi University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey
4Hacettepe University Faculty of Medicine, Department of Preventive Oncology, Ankara, Turkey
5Hacettepe University Faculty of Medicine, Department of Radiology, Ankara, Turkey
6Hacettepe University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey
刊名: The Breast, 2017, Vol.32 , pp.237-244
来源数据库: Elsevier Journal
DOI: 10.1016/j.breast.2016.05.013
关键词: Breast cancerNeoadjuvant chemotherapyBody mass indexPathological complete responseSurvival
英文摘要: Abstract(#br)Purpose(#br)The relation between higher body mass index (BMI) and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer (BC) is a controversial issue according to the data of Western and Asian patients. The aim of this study is to evaluate BMI and pCR to NAC and discuss the importance of pCR outcomes in Turkish BC patients as a bridging country between Europe and Asia.(#br)Patients and methods(#br)Of the 4423 BC patients diagnosed between the years 1994 and 2015 in Hacettepe University Cancer Institute, 295 female patients with stage II and III BC were enrolled in the study. Three different group divisions were done according to patients' BMI as normal or underweight (N/U) patients (BMI <25 kg/m 2 ), overweight (OW) patients (BMI = 25–29.9...
全文获取路径: Elsevier  (合作)
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来源刊物:
影响因子:2.491 (2011)

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关键词翻译
关键词翻译
  • chemotherapy 化学疗法
  • pathological 病理学的
  • breast 胸部
  • prognostic 预测的
  • response 响应
  • cancer 癌症
  • independent 独立的
  • complete 实行
  • factor 因素