血清代谢特征能告诉我们健康生活方式与结肠癌风险之间的关系吗?

IF 6 3区 医学 Q1 CELL BIOLOGY
Komodo Matta, Vivian Viallon, Anastasia Chrysovalantou Chatziioannou, Nivonirina Robinot, Roland Wedekind, Christina C Dahm, Agnetha Linn Rostgaard-Hansen, Anne Tjønneland, Therese Truong, Chloé Marques, Pauline Frenoy, Rudolf Kaaks, Renée Turzanski Fortner, Matthias B Schulze, Sabrina Sieri, Mario Fordellone, Rosario Tumino, Fulvio Ricceri, Tonje Braaten, Therese Haugdahl Nøst, Maria-Jose Sánchez, Olatz Mokoroa-Carollo, Sandra Colorado-Yohar, Camino Trobajo-Sanmartín, Keren Papier, Rhea Harewood, Kostas Tsilidis, Salvatore Vaccarella, Mattias Johansson, Elisabete Weiderpass, Cyrille Delpierre, Sebastien Lamy, Kristin Benjaminsen Borch, Pekka Keski-Rahkonen, Elio Riboli, Heinz Freisling, Marc Gunter, Pietro Ferrari
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引用次数: 0

摘要

背景:结肠癌受生活方式因素的强烈影响。性别和社会经济地位(SEP)等社会人口因素可能会调节生活方式与结肠癌风险之间的关系。代谢组学提供了揭示生活方式和结肠癌之间联系的生物学机制的潜力。方法:生活方式和非靶向代谢组学数据来自欧洲癌症与营养前瞻性调查(EPIC)的一项巢式病例对照研究,包括1067例结肠癌病例和1067例年龄、性别、研究中心和采血时间相匹配的对照组。血清样品采用液相色谱-质谱法分析。健康生活方式指数(HLI)评分来源于吸烟习惯、酒精摄入量、身体质量指数(BMI)、身体活动和饮食。在对照组中应用惩罚回归来获得HLI和生活方式成分的代谢特征。生活方式因素和代谢特征与结肠癌风险的关联通过条件logistic回归模型进行估计,包括总体、性别和sep。结果:HLI评分与结肠癌风险呈负相关,每1个标准差(SD)增量的比值比(OR)为0.79;95% ci: 0.71, 0.87。HLI的代谢特征包括130个特征,与HLI中度相关(r = 0.59;94% CI: 0.56, 0.61),且与结肠癌风险呈负相关(OR = 0.86;95% ci: 0.78, 0.95)。调整HLI评分后,HLI代谢特征与结肠癌风险的相关性为零(OR = 1.00, 95% CI 0.88, 1.13)。生活方式因素和代谢特征与结肠癌风险的关联在男性中始终强于女性,且在sep上没有差异。在这项涵盖七个欧洲国家的研究中,健康的生活方式与结肠癌风险呈负相关,男性的相关性强于女性,SEP之间没有差异。然而,调整生活方式因素后的血清代谢特征未发现与结肠癌风险相关,这表明生活方式影响结肠癌的机制未被特征所涵盖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can serum metabolic signatures inform on the relationship between healthy lifestyle and colon cancer risk?

Background: Colon cancer is strongly influenced by lifestyle factors. Sociodemographic factors like sex and socioeconomic position (SEP) might modulate the relationship between lifestyle and colon cancer risk. Metabolomics offers potential to uncover biological mechanisms linking lifestyle and colon cancer.

Methods: Lifestyle and untargeted metabolomic data were available from a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC), including 1,067 colon cancer cases and 1,067 controls matched on age, sex, study centre, and blood collection time. Serum samples were analyzed using liquid chromatography-mass spectrometry. The Healthy Lifestyle Index (HLI) score was derived from smoking habits, alcohol intake, body mass index (BMI), physical activity, and diet. Penalised regression was applied in controls to derive metabolic signatures for the HLI and the lifestyle components. Associations of lifestyle factors and the metabolic signatures with colon cancer risk were estimated in conditional logistic regression models, overall and by sex and SEP.

Results: The HLI score was inversely associated with colon cancer risk, with an odds ratio (OR) per 1-standard deviation (SD) increment equal to 0.79; 95% CI: 0.71, 0.87. The metabolic signature of HLI, comprising 130 features, was moderately correlated with HLI (r = 0.59; 94% CI: 0.56, 0.61), and was inversely associated with colon cancer risk (OR = 0.86; 95% CI: 0.78, 0.95). After adjustment for the HLI score, the association of the metabolic signature of HLI and colon cancer risk was null (OR = 1.00, 95% CI 0.88, 1.13). Associations of lifestyle factors and the metabolic signature with colon cancer risk were consistently stronger for men than for women and did not differ by SEP.

Conclusions: In this study across seven European countries, healthy lifestyle was inversely associated with colon cancer risk, with stronger associations in men than women and no differences across SEP. However, the serum metabolic signatures after adjustment for lifestyle factors were not found to be associated with colon cancer risk, suggesting that lifestyle impacts colon cancer through mechanisms not captured by the signatures.

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来源期刊
自引率
1.70%
发文量
17
审稿时长
14 weeks
期刊介绍: Cancer & Metabolism welcomes studies on all aspects of the relationship between cancer and metabolism, including: -Molecular biology and genetics of cancer metabolism -Whole-body metabolism, including diabetes and obesity, in relation to cancer -Metabolomics in relation to cancer; -Metabolism-based imaging -Preclinical and clinical studies of metabolism-related cancer therapies.
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