Preclinical evaluation of a novel CEA-targeting near-infrared fluorescent tracer delineating colorectal and pancreatic tumors
INTERNATIONAL JOURNAL OF CANCER
Authors: Boonstra, Martin C.; Tolner, Berend; Schaafsma, Boudewijn E.; Boogerd, Leonora S. F.; Prevoo, Hendrica A. J. M.; Bhavsar, Guarav; Kuppen, Peter J. K.; Sier, Cornelis F. M.; Bonsing, Bert A.; Frangioni, John V.; van de Velde, Cornelis J. H.; Chester, Kerry A.; Vahrmeijer, Alexander L.
Abstract
Surgery is the cornerstone of oncologic therapy with curative intent. However, identification of tumor cells in the resection margins is difficult, resulting in nonradical resections, increased cancer recurrence and subsequent decreased patient survival. Novel imaging techniques that aid in demarcating tumor margins during surgery are needed. Overexpression of carcinoembryonic antigen (CEA) is found in the majority of gastrointestinal carcinomas, including colorectal and pancreas. We developed ssSM3E/800CW, a novel CEA-targeted near-infrared fluorescent (NIRF) tracer, based on a disulfide-stabilized single-chain antibody fragment (ssScFv), to visualize colorectal and pancreatic tumors in a clinically translatable setting. The applicability of the tracer was tested for cell and tissue binding characteristics and dosing using immunohistochemistry, flow cytometry, cell-based plate assays and orthotopic colorectal (HT-29, well differentiated) and pancreatic (BXPC-3, poorly differentiated) xenogeneic human-mouse models. NIRF signals were visualized using the clinically compatible FLARE imaging system. Calculated clinically relevant doses of ssSM3E/800CW selectively accumulated in colorectal and pancreatic tumors/cells, with highest tumor-to-background ratios of 5.10.6 at 72 hr postinjection, which proved suitable for intraoperative detection and delineation of tumor boarders and small (residual) tumor nodules in mice, between 8 and 96 hr postinjection. Ex vivo fluorescence imaging and pathologic examination confirmed tumor specificity and the distribution of the tracer. Our results indicate that ssSM3E/800CW shows promise as a diagnostic tool to recognize colorectal and pancreatic cancers for fluorescent-guided surgery applications. If successfully translated clinically, this tracer could help improve the completeness of surgery and thus survival. What's new? The use of fluorescent tracers to identify cancerous cells at tumor margins could improve outcomes for surgery with curative intent. This study describes a newly developed near-infrared fluorescent tracer targeted to carcinoembryonic antigen (CEA), a glycoprotein overexpressed in gastrointestinal cancers. In mice, the fluorescent agent, ssSM3E/800CW, accumulated specifically in tumor cells, enabling the detection and delineation of tumor borders on a clinically relevant timescale. If successfully translated into the clinic, ssSM3E/800CW could facilitate the visualization of cancerous tissue and improve the completeness of surgical resection.
An algorithm-based meta-analysis of genome- and proteome-wide data identifies a combination of potential plasma biomarkers for colorectal cancer
SCIENTIFIC REPORTS
Authors: Gawel, Danuta R.; Lee, Eun Jung; Li, Xinxiu; Lilja, Sandra; Matussek, Andreas; Schafer, Samuel; Olsen, Renate Slind; Stenmarker, Margaretha; Zhang, Huan; Benson, Mikael
Abstract
Screening programs for colorectal cancer (CRC) often rely on detection of blood in stools, which is unspecific and leads to a large number of colonoscopies of healthy subjects. Painstaking research has led to the identification of a large number of different types of biomarkers, few of which are in general clinical use. Here, we searched for highly accurate combinations of biomarkers by meta-analyses of genome- and proteome-wide data from CRC tumors. We focused on secreted proteins identified by the Human Protein Atlas and used our recently described algorithms to find optimal combinations of proteins. We identified nine proteins, three of which had been previously identified as potential biomarkers for CRC, namely CEACAM5, LCN2 and TRIM28. The remaining proteins were PLOD1, MAD1L1, P4HA1, GNS, C12orf10 and P3H1. We analyzed these proteins in plasma from 80 patients with newly diagnosed CRC and 80 healthy controls. A combination of four of these proteins, TRIM28, PLOD1, CEACAM5 and P4HA1, separated a training set consisting of 90% patients and 90% of the controls with high accuracy, which was verified in a test set consisting of the remaining 10%. Further studies are warranted to test our algorithms and proteins for early CRC diagnosis.