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基因多态性与乳腺癌临床特征的相关性。

Correlation between gene polymorphisms and clinical aspects of breast cancer.

机构信息

Department of Surgical Oncology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang, China.

Taipei Cancer Center, Taipei Medical University, Taipei, Taiwan.

出版信息

Int J Med Sci. 2018 Jul 30;15(11):1179-1186. doi: 10.7150/ijms.26771. eCollection 2018.

DOI:10.7150/ijms.26771
PMID:30123055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6097259/
Abstract

Breast cancer is a major cause of cancer mortality amongst women. Chemokine (C-C motif) ligand 4 is encoded by the gene; specific gene polymorphisms are related to the risks and prognoses of various diseases. In this study, we examined whether gene single nucleotide polymorphisms (SNPs) predict the risk and progression of breast cancer. Between 2014 and 2016, we recruited 314 patients diagnosed with breast cancer and a cohort of 209 healthy participants (controls) without a history of cancer. Genotyping of the rs1634507, rs10491121 and rs1719153 SNPs revealed no significant between-group differences for these polymorphisms. However, amongst luminal A and luminal B subtypes, compared with patients with the AA genotype, those carrying the AG genotype at SNP rs10491121 were less likely to develop lymph node metastasis. In addition, compared with AA carriers, those carrying the AG + GG genotype at SNP rs10491121 were at lower risk of developing distant metastasis, while the presence of the AT genotype at SNP rs1719153 increased the likelihood of pathologic grade (G3 or G4) disease. Variations in the gene may help to predict breast cancer progression and metastasis.

摘要

乳腺癌是女性癌症死亡的主要原因之一。趋化因子(C-C 基序)配体 4 由 基因编码;特定的 基因多态性与各种疾病的风险和预后有关。在这项研究中,我们研究了 基因单核苷酸多态性(SNPs)是否可以预测乳腺癌的风险和进展。2014 年至 2016 年,我们招募了 314 名确诊为乳腺癌的患者和 209 名没有癌症病史的健康参与者(对照组)。对 rs1634507、rs10491121 和 rs1719153 这些 SNP 的基因分型显示,这些多态性在组间没有显著差异。然而,在 luminal A 和 luminal B 亚型中,与 SNP rs10491121 的 AA 基因型患者相比,携带 AG 基因型的患者发生淋巴结转移的可能性较小。此外,与 AA 携带者相比,携带 SNP rs10491121 的 AG + GG 基因型的患者发生远处转移的风险较低,而 SNP rs1719153 的 AT 基因型增加了病理分级(G3 或 G4)疾病的可能性。基因的变异可能有助于预测乳腺癌的进展和转移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc47/6097259/042b2c7010af/ijmsv15p1179g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc47/6097259/042b2c7010af/ijmsv15p1179g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc47/6097259/042b2c7010af/ijmsv15p1179g001.jpg

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