Abstract. The progression of many solid tumors is characterized by the release of tumor-associated proteases, such as cancer procoagulant, MMP2 and MMP7. consequently, the detection of tumor-specific proteolytic activity in serum specimens has recently been proposed as a new diagnostic tool in oncology. However, tumor-associated proteases are highly diluted in serum specimens and it is challenging to identify substrates that are specifically cleaved. In this study, we describe the systematic optimization of a synthetic peptide substrate using a positional scanning synthetic combinatorial library (PS-ScL) approach. The initial reporter peptide (RP) comprises of the cleavage site, WKPyDAAD, that is part of the coagulation factor X, the natural substrate of the tumorassociated cysteine protease cancer procoagulant (Ec 3.4.22.26). Specifically, the amino acid substitution of aspartatic acid (D) in position P1' against asparagine (N) improved the processing of respective RPs in serum specimens from patients with colorectal tumors compared to healthy controls. Proteolytic fragments of RPs accumulated during prolonged incubation with serum specimens and were quantified with matrixassisted laser desorption/ionization time-of-flight mass spectrometry. Finally, the optimized RP with the cleaved motif WKPyNAAD was combined with the RPs, VPLSLTMg and IPVSLRSg, that were cleaved by the tumor-associated proteases, MMP2 and MMP7, respectively. The diagnostic accuracy of MS-based protease profiling was evaluated for this triplex RP mix in a cohort of 50 serum specimens equally divided into colorectal cancer patients and healthy control individuals. Multiparametric analysis showed an AUc value of 0.90 for the receiver operating characteristic curve and was superior to the classification accuracy of the single markers. Our results demonstrate that RPs for MS-based protease profiling can systematically be optimized with a PS-ScL. Furthermore, the combination of different RPs can additionally increase the classification accuracy of functional protease profiling, and this in turn could lead to improved diagnosis, monitoring and prognosis of malignant disease.
IntroductionProteases play an important role in different biological processes including cell differentiation, tissue remodelling, haemostasis, immunity, angiogenesis, apoptosis and malignant disease (1). Specifically for solid tumors, proteases are wellknown factors for promoting local progression and distant metastasis, and there is increasing evidence that proteases also have key functions in the early stages of malignant disease (2). The tumor-associated proteases are either secreted directly by the tumor or they originate from surrounding connective tissue and infiltrating leucocytes as a result of tumor-stroma interaction (3).Some tumor-associated proteases, such as matrix metalloproteinases (MMPs), cathepsines or cancer procoagulant (cP) are released into the bloodstream and can be used for diagnostic (4-7) and prognostic purposes (8). However, due to their low concentra...