"Prediagnosis ultra-processed food consumption and prognosis of patients with colorectal, lung, prostate, or breast cancer: a large prospective multicenter study"

作者全名："Pu, Jian-Yuan; Xu, Wei; Zhu, Qian; Sun, Wei-Ping; Hu, Jie-Jun; Cai, Dong; Zhang, Jun-Yong; Gong, Jian-Ping; Xiong, Bin; Zhong, Guo-Chao"

作者地址："[Pu, Jian-Yuan; Hu, Jie-Jun; Cai, Dong; Gong, Jian-Ping; Xiong, Bin; Zhong, Guo-Chao] Chongqing Med Univ, Affiliated Hosp 2, Dept Hepatobiliary Surg, Chongqing, Peoples R China; [Xu, Wei] Peoples Hosp Liangping Dist, Dept Hepatobiliary Thyroid & Breast Surg, Chongqing, Peoples R China; [Zhu, Qian] Chongqing Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Chongqing, Peoples R China; [Sun, Wei-Ping] Chongqing Med Univ, Affiliated Hosp 2, Dept Gastrointestinal Surg, Chongqing, Peoples R China; [Zhang, Jun-Yong] Chongqing Med Univ, Affiliated Hosp 2, Dept Urol, Chongqing, Peoples R China"

通信作者："Xiong, B; Zhong, GC (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Hepatobiliary Surg, Chongqing, Peoples R China."

来源：FRONTIERS IN NUTRITION

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001084710000001

JCR分区：Q2

影响因子：4

年份：2023

卷号：10

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：ultra-processed foods; prognosis; cancer patients; cohort study; nutritional epidemiology

摘要："Background and aims: Whether ultra-processed food consumption is associated with cancer prognosis remains unknown. We aimed to test whether prediagnosis ultra-processed food consumption is positively associated with all-cause and cancer-specific mortality in patients with colorectal, lung, prostate, or breast cancer.Methods: This study included 1,100 colorectal cancer patients, 1750 lung cancer patients, 4,336 prostate cancer patients, and 2,443 breast cancer patients. Ultra-processed foods were assessed using the NOVA classification before the diagnosis of the first cancer. Multivariable Cox regression was used to calculate hazard ratio (HR) and 95% confidence interval (CI) for all-cause and cancer-specific mortality.Results: High ultra-processed food consumption before cancer diagnosis was significantly associated with an increased risk of all-cause mortality in lung (HRquartile 4 vs. 1: 1.18; 95% CI: 0.98, 1.40; P-trend = 0.021) and prostate (HRquartile 4 vs. 1: 1.18; 95% CI: 1.00, 1.39; P-trend = 0.017) cancer patients in a nonlinear dose-response manner (all P-nonlinearity < 0.05), whereas no significant results were found for other associations of interest. Subgroup analyses additionally revealed a significantly positive association with colorectal cancer-specific mortality among colorectal cancer patients in stages I and II but not among those in stages III and IV (P-interaction = 0.006), and with prostate cancer-specific mortality among prostate cancer patients with body mass index <25 but not among those with body mass index >= 25 (P-interaction = 0.001).Conclusion: Our study suggests that reducing ultra-processed food consumption before cancer diagnosis may improve the overall survival of patients with lung or prostate cancer, and the cancer-specific survival of certain subgroups of patients with colorectal or prostate cancer."

基金机构："The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from the National Natural Science Foundation of China (Grant No. 82203391), China Postdoctoral Science [82203391]; National Natural Science Foundation of China [2021M700638]; China Postdoctoral Science Foundation [2021XM2043]; Special Funding for Postdoctoral Research Project of Chongqing"

基金资助正文："The authors sincerely thank Yong Zhao and You-Qi-Le Wu for their contributions in categorizing food items according to the NOVA classification system. The authors also sincerely thank the National Cancer Institute for access to NCI's data collected by the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. The statements contained herein are solely those of the authors and do not represent or imply concurrence or endorsement by NCI.r The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from the National Natural Science Foundation of China (Grant No. 82203391), China Postdoctoral Science Foundation (Project number: 2021M700638), and the Special Funding for Postdoctoral Research Project of Chongqing (Grant No. 2021XM2043). The funding supporters had no role in study design, data acquisition and analysis, decision to publish, or the preparation of the manuscript."