Abramowski Pierre, Kraus Olga, Rohn Sascha, Riecken Kristoffer, Fehse Boris, Schlüter Hartmut
Research Department of Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mass Spectrometric Proteome Analysis, Department of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Cancer Genomics Proteomics. 2015 Jul-Aug;12(4):179-87.
Cancer-cell heterogeneity dramatically influences treatment success, but escapes detection by classical histology. Mass-spectrometric imaging (MSI) represents a powerful method for visualizing the spatial distribution of proteins in tissue sections. Herein we asked whether MSI also facilitates detection of tumor heterogeneity. We first transduced the human neuroendocrine-carcinoma BON cell line following the red-green-blue (RGB) marking principle. RGB marking allows for specific color-coding of individual clones. Mice transplanted with RGB-marked BON cells developed liver tumors. We identified 16 primary tumors clearly distinguishable by histology and fluorescence imaging, but also based on a common tumor-specific signal pattern detected by MSI. Importantly, this pattern was clearly confined to tumor tissue while was absent from surrounding liver tissue. At the same time, we observed protein signals differentially present in a few or even single tumors. Since these signals were independent of RGB marking, they apparently reflected unique intrinsic protein-signal patterns of individual tumors. Thus, our data propose MSI as a tool for identifying divergent tissue by 'fingerprints' of protein signals, allowing not only for differentiation of tumor from healthy tissue but also detection of tumor heterogeneity. In conclusion, by visualizing tumor heterogeneity, MSI ideally complements microscopy-based methods. This might help to better understand tumor biology and develop future treatment strategies.
癌细胞异质性极大地影响治疗效果,但却难以通过传统组织学检测出来。质谱成像(MSI)是一种可视化组织切片中蛋白质空间分布的强大方法。在此,我们探究了MSI是否也有助于检测肿瘤异质性。我们首先按照红-绿-蓝(RGB)标记原则转导人神经内分泌癌BON细胞系。RGB标记可对单个克隆进行特定颜色编码。将移植了RGB标记的BON细胞的小鼠培育出肝肿瘤。我们通过组织学、荧光成像以及基于MSI检测到的常见肿瘤特异性信号模式,明确鉴定出16个原发性肿瘤。重要的是,这种模式明显局限于肿瘤组织,而周围肝组织中不存在。同时,我们观察到在少数甚至单个肿瘤中存在差异表达的蛋白质信号。由于这些信号与RGB标记无关,它们显然反映了各个肿瘤独特的内在蛋白质信号模式。因此,我们的数据表明MSI可作为一种通过蛋白质信号“指纹”识别不同组织的工具,不仅能够区分肿瘤组织与健康组织,还能检测肿瘤异质性。总之,通过可视化肿瘤异质性,MSI完美地补充了基于显微镜的方法。这可能有助于更好地理解肿瘤生物学并制定未来的治疗策略。