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原发性乳腺癌旁无病组织中等位基因失衡的基因组模式。

Genomic patterns of allelic imbalance in disease free tissue adjacent to primary breast carcinomas.

作者信息

Ellsworth Darrell L, Ellsworth Rachel E, Love Brad, Deyarmin Brenda, Lubert Susan M, Mittal Vimal, Shriver Craig D

机构信息

Clinical Breast Care Project, Windber Research Institute, Windber, PA 15963, USA.

出版信息

Breast Cancer Res Treat. 2004 Nov;88(2):131-9. doi: 10.1007/s10549-004-1424-7.

Abstract

Mammary stroma plays an important role in facilitating the neoplastic transformation of epithelial cells, modulating integrity of the extracellular matrix, and maintaining genomic stability, but molecular mechanisms by which stroma affects epithelial structure and function are not well-defined. We used laser-assisted microdissection of paraffin-embedded breast tissues from 30 patients with breast disease and a panel of 52 microsatellite markers defining 26 chromosomal regions to characterize genomic patterns of allelic imbalance (AI) in disease-free tissue adjacent to sites of breast disease and to define genomic regions that may contain genes associated with early carcinogenic processes. The mean frequency of AI in histologically normal tissue adjacent to the primary carcinomas (15.4%) was significantly higher than that in distant tissue from the same breast (3.7%). The pattern of AI across all chromosomal regions differed between the adjacent tissue and primary tumor in every case. Unique AI events, observed only in tumor (15% of informative markers) or only in adjacent cells (10% of informative markers), were far more common than AI events shared between tumor and adjacent cells (approximately 4%). Levels of AI characteristic of advanced invasive carcinomas were already present in non-invasive ductal carcinomas in situ, and appreciable levels of AI were observed in adjacent non-neoplastic tissue at all pathological stages. Chromosome 11p15.1 showed significantly higher levels of AI in adjacent cells (p < 0.01), suggesting that this region may harbor genes involved in breast cancer development and progression. Our data indicate that genomic instability may be inherently greater in disease-free tissue close to developing tumors, which may have important implications for defining surgical margins and predicting recurrence.

摘要

乳腺基质在促进上皮细胞的肿瘤转化、调节细胞外基质的完整性以及维持基因组稳定性方面发挥着重要作用,但基质影响上皮结构和功能的分子机制尚未明确。我们使用激光辅助显微切割技术,从30例乳腺疾病患者的石蜡包埋乳腺组织中获取样本,并利用一组定义26个染色体区域的52个微卫星标记,来表征乳腺疾病部位附近无病组织中等位基因失衡(AI)的基因组模式,并确定可能包含与早期致癌过程相关基因的基因组区域。原发性癌旁组织学正常组织中的AI平均频率(15.4%)显著高于同一乳腺远处组织中的AI平均频率(3.7%)。在每种情况下,相邻组织和原发性肿瘤在所有染色体区域的AI模式均有所不同。仅在肿瘤中观察到的独特AI事件(占信息性标记的15%)或仅在相邻细胞中观察到的独特AI事件(占信息性标记的10%),远比肿瘤与相邻细胞共有的AI事件(约4%)更为常见。晚期浸润性癌特有的AI水平在原位非浸润性导管癌中就已存在,并且在所有病理阶段的相邻非肿瘤组织中均观察到了可观的AI水平。染色体11p15.1在相邻细胞中显示出显著更高的AI水平(p < 0.01),这表明该区域可能含有参与乳腺癌发生和发展的基因。我们的数据表明,靠近正在发展的肿瘤的无病组织中基因组不稳定性可能本质上更大,这对于确定手术切缘和预测复发可能具有重要意义。

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