Department of Urology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, Wisconsin, 53706, USA.
BMC Cancer. 2019 May 23;19(1):490. doi: 10.1186/s12885-019-5708-z.
The traditional pathologic grading for human renal cell carcinoma (RCC) has low concordance between biopsy and surgical specimen. There is a need to investigate adjunctive pathology technique that does not rely on the nuclear morphology that defines the traditional grading. Changes in collagen organization in the extracellular matrix have been linked to prognosis or grade in breast, ovarian, and pancreatic cancers, but collagen organization has never been correlated with RCC grade. In this study, we used Second Harmonic Generation (SHG) based imaging to quantify possible differences in collagen organization between high and low grades of human RCC.
A tissue microarray (TMA) was constructed from RCC tumor specimens. Each TMA core represents an individual patient. A 5 μm section from the TMA tissue was stained with standard hematoxylin and eosin (H&E). Bright field images of the H&E stained TMA were used to annotate representative RCC regions. In this study, 70 grade 1 cores and 51 grade 4 cores were imaged on a custom-built forward SHG microscope, and images were analyzed using established software tools to automatically extract and quantify collagen fibers for alignment and density assessment. A linear mixed-effects model with random intercepts to account for the within-patient correlation was created to compare grade 1 vs. grade 4 measurements and the statistical tests were two-sided.
Both collagen density and alignment differed significantly between RCC grade 1 and RCC grade 4. Specifically, collagen fiber density was greater in grade 4 than in grade 1 RCC (p < 0.001). Collagen fibers were also more aligned in grade 4 compared to grade 1 (p < 0.001).
Collagen density and alignment were shown to be significantly higher in RCC grade 4 vs. grade 1. This technique of biopsy sampling by SHG could complement classical tumor grading approaches. Furthermore it might allow biopsies to be more clinically relevant by informing diagnostics. Future studies are required to investigate the functional role of collagen organization in RCC.
传统的人类肾细胞癌(RCC)病理分级在活检和手术标本之间一致性较低。因此需要研究一种不依赖于核形态的辅助病理技术,这种核形态定义了传统的分级。细胞外基质中胶原组织的变化与乳腺癌、卵巢癌和胰腺癌的预后或分级有关,但胶原组织从未与 RCC 分级相关。在这项研究中,我们使用二次谐波产生(SHG)成像来定量分析人类 RCC 高低分级之间胶原组织的可能差异。
从 RCC 肿瘤标本中构建组织微阵列(TMA)。每个 TMA 芯代表一个单独的患者。从 TMA 组织切取 5μm 厚的切片,用标准苏木精和伊红(H&E)染色。H&E 染色的 TMA 明场图像用于标记有代表性的 RCC 区域。在这项研究中,70 个 1 级核心和 51 个 4 级核心在定制的正向 SHG 显微镜上成像,使用已建立的软件工具对图像进行分析,以自动提取和量化胶原纤维,用于对齐和密度评估。创建了一个具有随机截距的线性混合效应模型,以解释患者内相关性,用于比较 1 级和 4 级测量值,统计检验为双侧检验。
RCC 1 级和 RCC 4 级的胶原密度和排列均有显著差异。具体来说,4 级 RCC 的胶原纤维密度大于 1 级(p<0.001)。与 1 级相比,4 级的胶原纤维排列更整齐(p<0.001)。
RCC 4 级的胶原密度和排列明显高于 1 级。SHG 活检取样技术可以补充经典的肿瘤分级方法。此外,它可能通过提供诊断信息使活检更具临床相关性。需要进一步研究胶原组织在 RCC 中的功能作用。