Suppr超能文献

导管原位癌的基因组不稳定性水平及模式与组织学分级的相关性。

Correlation of levels and patterns of genomic instability with histological grading of DCIS.

作者信息

Ellsworth Rachel E, Ellsworth Darrell L, Love Brad, Patney Heather L, Hoffman Laurel R, Kane Jennifer, Hooke Jeffrey A, Shriver Craig D

机构信息

Clinical Breast Care Project, Windber Research Institute, 620 Seventh Street, Windber, PA 15963, USA.

出版信息

Ann Surg Oncol. 2007 Nov;14(11):3070-7. doi: 10.1245/s10434-007-9459-8. Epub 2007 Jun 5.

Abstract

BACKGROUND

Histological grading of ductal carcinoma-in-situ (DCIS) lesions separates DCIS into three subgroups (well-, moderately, or poorly differentiated). It is unclear, however, whether breast disease progresses along a histological continuum or whether each grade represents a separate disease. In this study, levels and patterns of allelic imbalance (AI) were examined in DCIS lesions to develop molecular models that can distinguish pathological classifications of DCIS.

METHODS

Laser microdissected DNA samples were collected from DCIS lesions characterized by a single pathologist including well- (n = 18), moderately (n = 35), and poorly differentiated (n = 47) lesions. A panel of 52 microsatellite markers representing 26 chromosomal regions commonly altered in breast cancer was used to assess patterns of AI.

RESULTS

The overall frequency of AI increased significantly (P < .001) with increasing grade (well differentiated, 12%; moderately differentiated, 17%; poorly differentiated, 26%). Levels of AI were not significantly different between well- and moderately differentiated grades of disease but were significantly higher (P < .0001) in poorly differentiated compared with well- or moderately differentiated disease. No statistically significant differences in patterns of AI were detected between well- and moderately differentiated disease; however, AI occurred significantly more frequently (P < .05) in high-grade lesions at chromosomes 6q25-q27, 8q24, 9p21, 13q14, and 17p13.1, and significantly more frequently in low-grade lesions at chromosome 16q22.3-q24.3.

CONCLUSIONS

The inability to discriminate DCIS at the genetic level suggests that grades 1 and 2 DCIS may represent a single, non-high-grade form of DCIS, whereas poorly differentiated DCIS seems to be a genetically more advanced disease that may represent a discrete disease entity, characterized by a unique spectrum of genetic alterations.

摘要

背景

导管原位癌(DCIS)病变的组织学分级将DCIS分为三个亚组(高分化、中分化或低分化)。然而,尚不清楚乳腺疾病是否沿着组织学连续体进展,或者每个分级是否代表一种独立的疾病。在本研究中,对DCIS病变中的等位基因失衡(AI)水平和模式进行了检测,以建立能够区分DCIS病理分类的分子模型。

方法

从经单一病理学家鉴定的DCIS病变中收集激光显微切割的DNA样本,包括高分化(n = 18)、中分化(n = 35)和低分化(n = 47)病变。使用一组代表乳腺癌中常见改变的26个染色体区域的52个微卫星标记来评估AI模式。

结果

随着分级增加,AI的总体频率显著升高(P < .001)(高分化,12%;中分化,17%;低分化,26%)。高分化和中分化疾病之间的AI水平无显著差异,但与高分化或中分化疾病相比,低分化疾病中的AI水平显著更高(P < .0001)。高分化和中分化疾病之间未检测到AI模式的统计学显著差异;然而,AI在6q25-q27、8q24、9p21、13q14和17p13.1染色体的高级别病变中发生频率显著更高(P < .05),而在16q22.3-q24.3染色体的低级别病变中发生频率显著更高。

结论

在基因水平上无法区分DCIS表明,1级和2级DCIS可能代表一种单一的、非高级别的DCIS形式,而低分化DCIS似乎是一种在基因上更晚期的疾病,可能代表一种离散的疾病实体,其特征是独特的基因改变谱。

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