Topographic enhancement mapping of the cancer-associated breast stroma using breast MRI.

IF 1.4
Nima Nabavizadeh, Catherine Klifa, David Newitt, Ying Lu, Yunn-Yi Chen, Howard Hsu, Clark Fisher, Taku Tokayasu, Adam B Olshen, Paul Spellman, Joe W Gray, Nola Hylton, Catherine C Park
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引用次数: 15

Abstract

In animal and laboratory models, cancer-associated stroma, or elements of the supporting tissue surrounding a primary tumor, has been shown to be necessary for tumor evolution and progression. However, little is understood or studied regarding the properties of intact stroma in human cancer in vivo. In addition, for breast cancer patients, the optimal volume of local tissue to treat surrounding a primary tumor is not clear. Here, we performed an interdisciplinary study of normal-appearing breast tissue using breast magnetic resonance imaging (MRI), correlative histology and array comparative genomic hybridization to identify a cancer-associated stroma in humans. Using a novel technique for segmenting breast fibroglandular tissue, quantifiable topographic percent enhancement mapping of the stroma surrounding invasive breast cancer was found to be significantly elevated within 2 cm of the tumor edge. This region was also found to harbor increased microvessel density, and genomic changes that were closely associated with host normal breast tissue. These findings indicate that a cancer-associated stroma may be identified and characterized in human breast cancer using non-invasive imaging techniques. Identification of a cancer-associated stroma may be further developed to help guide local therapy to reduce recurrence and morbidity in breast cancer patients.

利用乳腺MRI对癌症相关乳腺间质进行地形增强成像。
在动物和实验室模型中,癌症相关基质或原发肿瘤周围的支持组织元素已被证明是肿瘤进化和进展所必需的。然而,关于完整间质在体内人类癌症中的特性,人们了解或研究的很少。此外,对于乳腺癌患者,治疗原发肿瘤周围局部组织的最佳体积尚不清楚。在这里,我们使用乳房磁共振成像(MRI)、相关组织学和阵列比较基因组杂交技术对正常乳房组织进行了跨学科研究,以确定人类癌症相关基质。利用一种新的乳腺纤维腺组织分割技术,发现浸润性乳腺癌周围基质的可量化地形百分比增强图在肿瘤边缘2厘米内显着升高。该区域还发现微血管密度增加,基因组变化与宿主正常乳腺组织密切相关。这些发现表明,使用非侵入性成像技术可以识别和表征人类乳腺癌中与癌症相关的基质。癌症相关基质的鉴定可能会进一步发展,以帮助指导局部治疗,以减少乳腺癌患者的复发和发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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