• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

22q12 - q13乳腺癌相关区域的细化:TMPRSS6作为芬兰东部人群候选基因的证据

Refinement of the 22q12-q13 breast cancer--associated region: evidence of TMPRSS6 as a candidate gene in an eastern Finnish population.

作者信息

Hartikainen Jaana M, Tuhkanen Hanna, Kataja Vesa, Eskelinen Matti, Uusitupa Matti, Kosma Veli-Matti, Mannermaa Arto

机构信息

Department of Pathology, University of Kuopio, Finland.

出版信息

Clin Cancer Res. 2006 Mar 1;12(5):1454-62. doi: 10.1158/1078-0432.CCR-05-1417.

DOI:10.1158/1078-0432.CCR-05-1417
PMID:16533768
Abstract

Although many risk factors for breast cancer are known, most of the genetic background and molecular mechanisms still remain to be elucidated. We have previously published an autosome-wide microsatellite scan for breast cancer association and here we report a follow-up study for one of the detected regions. Ten single nucleotide polymorphisms (SNP) were genotyped in an Eastern Finnish population sample of 497 breast cancer cases and 458 controls to refine the 550-kb region on 22q12-q13 and identify the breast cancer-associated gene(s) in this region. We also studied 22q12-q13 for allelic imbalance for the detection of a possible tumor suppressor gene and to see whether the breast cancer association and allelic imbalance in this region could be connected. A SNP (rs733655) in matriptase-2 gene (TMPRSS6) was detected to associate with breast cancer risk. The genotype frequencies of rs733655 differed significantly between cases and controls in the entire sample and in the geographically and genetically more homogeneous subsample with P = 0.044 and P = 0.0003, respectively. The heterozygous genotype TC was observed to be the risk genotype in both samples (odds ratios, 1.39; 95% confidence intervals, 1.06-1.83 and odds ratios, 2.11; 95% confidence intervals, 1.46-3.05). An associated two-marker haplotype involving SNP rs733655 (empirical P = 0.041) provides further evidence for breast cancer risk factor locating on 22q12-q13, possibly being TMPRSS6. Our results suggest that matriptase-2 gene is associated with breast cancer risk in the Eastern Finnish population.

摘要

尽管已知许多乳腺癌的风险因素,但大多数遗传背景和分子机制仍有待阐明。我们之前发表了一项全常染色体微卫星扫描以寻找与乳腺癌的关联,在此我们报告对其中一个检测区域的后续研究。在芬兰东部的一个包含497例乳腺癌病例和458例对照的人群样本中,对10个单核苷酸多态性(SNP)进行基因分型,以细化22q12 - q13上的550 kb区域,并确定该区域中与乳腺癌相关的基因。我们还研究了22q12 - q13的等位基因失衡情况,以检测可能的肿瘤抑制基因,并查看该区域的乳腺癌关联与等位基因失衡是否有关联。检测到matriptase - 2基因(TMPRSS6)中的一个SNP(rs733655)与乳腺癌风险相关。在整个样本以及地理和遗传上更为同质的子样本中,rs733655的基因型频率在病例组和对照组之间存在显著差异,P值分别为0.044和0.0003。在两个样本中均观察到杂合基因型TC为风险基因型(优势比分别为1.39;95%置信区间为1.06 - 1.83和优势比为2.11;95%置信区间为1.46 - 3.05)。一个涉及SNP rs733655的相关双标记单倍型(经验P值 = 0.041)为位于22q12 - q13上、可能是TMPRSS6的乳腺癌风险因素提供了进一步证据。我们的结果表明,在芬兰东部人群中,matriptase - 2基因与乳腺癌风险相关。

相似文献

1
Refinement of the 22q12-q13 breast cancer--associated region: evidence of TMPRSS6 as a candidate gene in an eastern Finnish population.22q12 - q13乳腺癌相关区域的细化:TMPRSS6作为芬兰东部人群候选基因的证据
Clin Cancer Res. 2006 Mar 1;12(5):1454-62. doi: 10.1158/1078-0432.CCR-05-1417.
2
An autosome-wide scan for linkage disequilibrium-based association in sporadic breast cancer cases in eastern Finland: three candidate regions found.对芬兰东部散发性乳腺癌病例进行基于连锁不平衡的全常染色体关联扫描:发现三个候选区域。
Cancer Epidemiol Biomarkers Prev. 2005 Jan;14(1):75-80.
3
ERCC4 associated with breast cancer risk: a two-stage case-control study using high-throughput genotyping.ERCC4与乳腺癌风险相关:一项使用高通量基因分型的两阶段病例对照研究。
Cancer Res. 2006 Oct 1;66(19):9420-7. doi: 10.1158/0008-5472.CAN-06-1418.
4
A study on the association of cytochrome-P450 1A1 polymorphism and breast cancer risk in north Indian women.印度北部女性细胞色素P450 1A1基因多态性与乳腺癌风险关联的研究。
Breast Cancer Res Treat. 2007 Jan;101(1):73-81. doi: 10.1007/s10549-006-9264-2. Epub 2006 Jun 29.
5
HER-2/neu Ile655Val polymorphism and the risk of breast cancer.HER-2/neu基因Ile655Val多态性与乳腺癌风险
Ann N Y Acad Sci. 2008 Sep;1138:84-94. doi: 10.1196/annals.1414.014.
6
Vitamin D pathway gene polymorphisms, diet, and risk of postmenopausal breast cancer: a nested case-control study.维生素D通路基因多态性、饮食与绝经后乳腺癌风险:一项巢式病例对照研究
Breast Cancer Res. 2007;9(1):R9. doi: 10.1186/bcr1642.
7
Genetic variation in TP53 and risk of breast cancer in a population-based case control study.一项基于人群的病例对照研究中TP53基因变异与乳腺癌风险的关系
Carcinogenesis. 2007 Aug;28(8):1680-6. doi: 10.1093/carcin/bgm097. Epub 2007 Apr 21.
8
A role for XRCC4 in age at diagnosis and breast cancer risk.XRCC4在诊断年龄和乳腺癌风险中的作用。
Cancer Epidemiol Biomarkers Prev. 2006 Jul;15(7):1306-10. doi: 10.1158/1055-9965.EPI-05-0959.
9
Allelic imbalance of HER-2 codon 655 polymorphism among different religious/ethnic populations of northern Greece and its association with the development and the malignant phenotype of breast cancer.希腊北部不同宗教/种族人群中HER-2密码子655多态性的等位基因失衡及其与乳腺癌发生和恶性表型的关联。
Neoplasma. 2007;54(5):365-73.
10
Population-based case-control study of VEGF gene polymorphisms and breast cancer risk among Chinese women.中国女性中VEGF基因多态性与乳腺癌风险的基于人群的病例对照研究。
Cancer Epidemiol Biomarkers Prev. 2006 Jun;15(6):1148-52. doi: 10.1158/1055-9965.EPI-05-0871.

引用本文的文献

1
Breast cancer risk prediction using machine learning: a systematic review.使用机器学习进行乳腺癌风险预测:一项系统综述。
Front Oncol. 2024 Mar 20;14:1343627. doi: 10.3389/fonc.2024.1343627. eCollection 2024.
2
A genome-wide gene-based gene-environment interaction study of breast cancer in more than 90,000 women.一项全基因组范围内基于基因的基因-环境相互作用研究,涉及超过 90000 名女性的乳腺癌。
Cancer Res Commun. 2022 Apr;2(4):211-219. doi: 10.1158/2767-9764.CRC-21-0119. Epub 2022 Apr 8.
3
Predicting breast cancer risk using interacting genetic and demographic factors and machine learning.
利用交互遗传和人口统计学因素以及机器学习预测乳腺癌风险。
Sci Rep. 2020 Jul 6;10(1):11044. doi: 10.1038/s41598-020-66907-9.
4
An investigation of the relationship between TMPRSS6 gene expression, genetic variants and clinical findings in breast cancer.研究 TMPRSS6 基因表达、遗传变异与乳腺癌临床特征的关系。
Mol Biol Rep. 2020 Jun;47(6):4225-4231. doi: 10.1007/s11033-020-05498-0. Epub 2020 May 8.
5
Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.机器学习鉴定出导致乳腺癌风险的相互作用遗传变异:芬兰病例对照研究。
Sci Rep. 2018 Sep 3;8(1):13149. doi: 10.1038/s41598-018-31573-5.
6
Case-control analysis of truncating mutations in DNA damage response genes connects TEX15 and FANCD2 with hereditary breast cancer susceptibility.DNA 损伤反应基因截断突变的病例对照分析将 TEX15 和 FANCD2 与遗传性乳腺癌易感性联系起来。
Sci Rep. 2017 Apr 6;7(1):681. doi: 10.1038/s41598-017-00766-9.
7
Type II transmembrane serine protease gene variants associate with breast cancer.II型跨膜丝氨酸蛋白酶基因变异与乳腺癌相关。
PLoS One. 2014 Jul 16;9(7):e102519. doi: 10.1371/journal.pone.0102519. eCollection 2014.
8
The role of TMPRSS6/matriptase-2 in iron regulation and anemia.TMPRSS6/matriptase-2 在铁调节和贫血中的作用。
Front Pharmacol. 2014 May 19;5:114. doi: 10.3389/fphar.2014.00114. eCollection 2014.
9
Toxicogenomics and cancer susceptibility: advances with next-generation sequencing.毒理基因组学与癌症易感性:下一代测序技术的进展
J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2014;32(2):121-58. doi: 10.1080/10590501.2014.907460.
10
N-glycosylation is required for matriptase-2 autoactivation and ectodomain shedding.N-糖基化是matriptase-2自身激活和胞外域脱落所必需的。
J Biol Chem. 2014 Jul 11;289(28):19500-7. doi: 10.1074/jbc.M114.555110. Epub 2014 May 27.