Suppr超能文献

维生素D结合蛋白基因亚型、血清维生素D与前列腺、肺、结肠直肠和卵巢癌(PLCO)筛查试验中的癌症风险

Vitamin D binding protein genetic isoforms, serum vitamin D, and cancer risk in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial.

作者信息

Weinstein Stephanie J, Parisi Dominick, Mondul Alison M, Layne Tracy M, Huang Jiaqi, Stolzenberg-Solomon Rachael Z, Ziegler Regina G, Purdue Mark P, Huang Wen-Yi, Abnet Christian C, Freedman Neal D, Yu Kai, Albanes Demetrius

机构信息

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, United States of America.

Information Management Services, Inc., Calverton, Maryland, United States of America.

出版信息

PLoS One. 2024 Dec 20;19(12):e0315252. doi: 10.1371/journal.pone.0315252. eCollection 2024.

Abstract

Associations between vitamin D biochemical status and cancer may be modified by vitamin D binding protein isoforms which are encoded by GC (group-specific component). We examined interactions between serum 25-hydroxyvitamin D [25(OH)D], the Gc isoforms Gc1-1, Gc1-2, and Gc2-2, and cancer risk within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial cohort based on 3,795 cases and 3,856 controls. Multivariable-adjusted logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) of cancer risk according to 25(OH)D quantiles, stratified by Gc isoform. Separately, the GC-cancer risk association was examined using proportional hazards regression among 109,746 individuals with genetic data and 26,713 diagnosed with cancer. Specific vitamin D binding protein isoform subtypes were delineated and analyzed, including Gc1-1 subtypes (Gc1s-Gc1s, Gc1f-Gc1s, and Gc1f-Gc1f) and Gc2 subtypes (Gc1s-Gc2, Gc1f-Gc2, and Gc2-Gc2). For most cancers, the GC genotype did not modify the risk associations for 25(OH)D; e.g., the OR for high vs. low vitamin D quintile was 1.09 (0.89-1.33) for overall cancer risk among individuals with the Gc1-1 isoform and 1.04 (0.83-1.31) among those with either the Gc1-2 or Gc2-2 isoforms. ORs for high compared to low vitamin D tertile for colorectal, lung, breast, and prostate cancer among those with the Gc1-1 vs. any Gc2 isoforms were, respectively, 0.60 vs. 0.73, 1.96 vs. 1.03, 1.30 vs. 1.18, and 1.19 vs. 1.22 (all p-interaction ≥0.36). However, GC qualitatively modified the vitamin D-bladder cancer risk association: OR = 1.70 (95% CI 0.96-2.98) among those with the Gc1-1 isoform and 0.52 (0.28-0.96) among those with any Gc2 isoforms (p-interaction = 0.03). When modeled without regard for 25(OH)D, Gc isoforms were generally not associated with cancer risk, although melanoma risk was significantly lower among individuals with the "f" subtype of the Gc1-1 isoform, specifically HR = 0.83 (95% CI 0.70-0.98) for Gc1f-1s and 0.67 (0.45-1.00) for Gc1f-1f, compared to individuals with the Gc1s-Gc1s isoform. Vitamin D binding protein genetic isoforms may be associated with melanoma risk but do not modify the association between vitamin D status and cancer, with the possible exception of bladder cancer.

摘要

维生素D结合蛋白异构体由GC(组特异性成分)编码,它可能会改变维生素D生化状态与癌症之间的关联。我们在前列腺、肺、结肠直肠和卵巢癌筛查试验队列中,基于3795例病例和3856例对照,研究了血清25-羟基维生素D [25(OH)D]、Gc异构体Gc1-1、Gc1-2和Gc2-2与癌症风险之间的相互作用。多变量调整逻辑回归模型根据25(OH)D分位数估计癌症风险的比值比(OR)和95%置信区间(CI),并按Gc异构体分层。另外,在109746名有基因数据的个体和26713名被诊断患有癌症的个体中,使用比例风险回归研究了GC与癌症风险的关联。对特定的维生素D结合蛋白异构体亚型进行了划分和分析,包括Gc1-1亚型(Gc1s-Gc1s、Gc1f-Gc1s和Gc1f-Gc1f)和Gc2亚型(Gc1s-Gc2、Gc1f-Gc2和Gc2-Gc2)。对于大多数癌症,GC基因型并未改变25(OH)D的风险关联;例如,对于Gc1-1异构体个体,维生素D五分位数高与低相比,总体癌症风险的OR为1.09(0.89-1.33),对于Gc1-2或Gc2-2异构体个体,该OR为1.04(0.83-1.31)。在Gc1-1与任何Gc2异构体个体中,结肠直肠癌、肺癌、乳腺癌和前列腺癌维生素D三分位数高与低相比的OR分别为0.60对0.73、1.96对1.03、1.30对1.18和1.19对1.22(所有p相互作用≥0.36)。然而,GC在质量上改变了维生素D与膀胱癌的风险关联:Gc1-1异构体个体的OR = 1.70(95% CI 0.96-2.98),任何Gc2异构体个体的OR为0.52(0.28-0.96)(p相互作用 = 0.03)。在不考虑25(OH)D进行建模时,Gc异构体通常与癌症风险无关,尽管Gc1-1异构体“f”亚型个体的黑色素瘤风险显著较低,具体而言,与Gc1s-Gc1s异构体个体相比,Gc1f-1s的HR = 0.83(95% CI 0.70-0.98),Gc1f-1f的HR = 0.67(0.45-1.00)。维生素D结合蛋白基因异构体可能与黑色素瘤风险相关,但除膀胱癌外,不会改变维生素D状态与癌症之间的关联。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验