NOVA School of Sciences and Technology, Campus Caparica, 2829-516, Caparica, Portugal; Laboratory of Instrumentation, Biomedical Engineering and Radiation Physics, Campus Caparica, 2829-516, Caparica, Portugal.
NOVA School of Sciences and Technology, Campus Caparica, 2829-516, Caparica, Portugal.
Talanta. 2023 Aug 1;260:124605. doi: 10.1016/j.talanta.2023.124605. Epub 2023 Apr 29.
In this work we present a methodology for the non-destructive elemental determination of formalin-fixed paraffin-embedded (FFPE) human tissue samples based on the Fundamental Parameters method for the quantification of micro Energy Dispersive X Ray Fluorescence (micro-EDXRF) area scans. This methodology intended to overcome two major constraints in the analysis of paraffin embedded tissue samples - retrieval of optimal region of analysis of the tissue within the paraffin block and the determination of the dark matrix composition of the biopsied sample. This way, an image treatment algorithm, based on R® tool to select the regions of the micro-EDXRF area scans was developed. Also, different dark matrix compositions were evaluated using varying combinations of H, C, N and O until the most accurate matrix was found: 8% H, 15% C, 1% N and 60% O for breast FFPE samples and 8% H, 23% C, 2% N and 55% O for colon. The developed methodology was applied to paired normal-tumour samples of breast and colon biopsied tissues in order to gauge potential elemental biomarkers for carcinogenesis in these tissues. The obtained results showed distinctive biomarkers for breast and for colon: there was a significant increase of P, S, K and Fe in both tissues, while a significant increase of Ca an Zn concentrations was also determined for breast tumour samples.
在这项工作中,我们提出了一种基于基本参数法对福尔马林固定石蜡包埋(FFPE)人组织样本进行微能量色散 X 射线荧光(micro-EDXRF)面积扫描定量分析的非破坏性元素测定方法。该方法旨在克服石蜡包埋组织样品分析中的两个主要限制——在石蜡块内检索组织的最佳分析区域和确定活检样本的暗矩阵组成。为此,开发了一种基于 R®工具的图像处理算法,用于选择 micro-EDXRF 面积扫描的区域。此外,还使用不同的 H、C、N 和 O 组合评估了不同的暗矩阵组成,直到找到最准确的矩阵:对于乳腺 FFPE 样本为 8% H、15% C、1% N 和 60% O,对于结肠样本为 8% H、23% C、2% N 和 55% O。所开发的方法应用于乳腺和结肠活检组织的配对正常-肿瘤样本,以评估这些组织中致癌作用的潜在元素生物标志物。所得结果显示出乳腺和结肠的独特生物标志物:两种组织中 P、S、K 和 Fe 显著增加,而乳腺肿瘤样本中 Ca 和 Zn 浓度也显著增加。