Quantitative multiplexed analysis of MMP-11 and CD45 in metastatic breast cancer tissues by...

Breast cancer is the leading cause of cancer death in woman and tremendous efforts are undertaken to limit its dissemination and to provide effective treatment. Various histopathological parameters are routinely assessed in breast cancer biopsies to provide valuable diagnostic and prognostic information. MMP-11 and CD45 are tumor-associated antigens and potentially valuable biomarkers for grading aggressiveness and metastatic probability. This paper presents methods for quantitative and multiplexed imaging of MMP-11 and CD45 in breast cancer tissues and investigates their potential for improved cancer characterization and patient stratification. An immunohistochemistry-assisted laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) method was successfully developed and optimized using lanthanide-tagged monoclonal antibodies as proxies to determine spatial distributions and concentrations of the two breast cancer biomarkers. The labeling degree of antibodies was determined via size exclusion-ICP-tandem mass spectrometry (SEC-ICP-MS/MS) employing online calibration via post-column isotope dilution analysis (IDA). The calibration of spatial distributions of labeled lanthanides in tissues was performed by ablating mold-prepared gelatin standards spiked with element standards. Knowledge of labeling degrees enabled the translation of lanthanide concentrations into biomarkers concentrations. The k-means clustering was used to select tissue areas for statistical analysis and mean concentrations were compared for sets of metastatic, non-metastatic and healthy samples. MMP-11 was expressed in stroma surrounding tumor areas, while CD45 was predominantly found inside tumor areas with high cell density. There was no significant correlation between CD45 and metastasis (P = 0.70); however, MMP-11 was significantly up-regulated (202%) in metastatic samples compared to non-metastatic (P = 0.0077) and healthy tissues (P = 0.0087).