Early detection significantly correlates with improved survival in cancer patients. So far, a limited number of biomarkers have been validated to diagnose cancers at an early stage. Considering the leading cancer types that contribute to more than 50% of deaths in the USA, we discuss the ongoing endeavors toward early detection of lung, breast, ovarian, colon, prostate, liver, and pancreatic cancers to highlight the significance of mucin glycoproteins in cancer diagnosis. As mucin deregulation is one of the earliest events in most epithelial malignancies following oncogenic transformation, these high-molecular-weight glycoproteins are considered potential candidates for biomarker development. The diagnostic potential of mucins is mainly attributed to their deregulated expression, altered glycosylation, splicing, and ability to induce autoantibodies. Secretory and shed mucins are commonly detected in patients’ sera, body fluids, and tumor biopsies. For instance, CA125, also called MUC16, is one of the biomarkers implemented for the diagnosis of ovarian cancer and is currently being investigated for other malignancies. Similarly, MUC5AC, a secretory mucin, is a potential biomarker for pancreatic cancer. Moreover, anti-mucin autoantibodies and mucin-packaged exosomes have opened new avenues of biomarker development for early cancer diagnosis. In this review, we discuss the diagnostic potential of mucins in epithelial cancers and provide evidence and a rationale for developing a mucin-based biomarker panel for early cancer detection.

Pancreatic cancer (PC) is one of the most lethal malignancies and represents an increasing and challenging threat, especially with an aging population. The identification of immunogenic PC‐specific upregulated antigens and an enhanced understanding of the immunosuppressive tumor microenvironment have provided opportunities to enable the immune system to recognize cancer cells. Due to its differential upregulation and functional role in PC, the transmembrane mucin MUC4 is an attractive target for immunotherapy. In the current study we characterized the antigen stability, antigenicity and release kinetics of a MUC4β‐nanovaccine to guide further optimization and, in vivo evaluation. Amphiphilic polyanhydride copolymers based on 20 mol % 1,8‐bis(p‐carboxyphenoxy)‐3,6‐dioxaoctane and 80 mol % 1,6‐bis(p‐carboxyphenoxy)hexane were used to synthesize nanoparticles. Structurally stable MUC4β protein was released from the particles in a sustained manner and characterized by gel electrophoresis and fluorescence spectroscopy. Modest levels of protein degradation were observed upon release. The released protein was also analyzed by MUC4β‐specific monoclonal antibodies using ELISA and showed no significant loss of epitope availability. Further, mice immunized with multiple formulations of combination vaccines containing MUC4β‐loaded nanoparticles generated MUC4β‐specific antibody responses. These results indicate that polyanhydride nanoparticles are viable MUC4β vaccine carriers, laying the foundation for evaluation of this platform for PC immunotherapy.

Background/Objectives: Pancreatic cancer is the third leading cause of death related to cancer. The only possible cure presently is complete surgical resection; however, this is limited by difficulty in clearly defining tumor margins. Enhancement of the visualization of pancreatic ductal adenocarcinoma (PDAC) tumor margins using near-infrared dye-conjugated tumor-specific antibodies was pioneered by using anti-CEA, anti-CA19.9, and anti-MUC5AC in orthotopic mouse models of pancreatic cancer. Recently, an antibody to Mucin 4 (MUC4) conjugated to a fluorescent probe has shown promise in targeting colon tumors in orthotopic mouse models. Methods: In the present study, we targeted pancreatic cancer using an anti-MUC4 antibody conjugated to IRDye800 (anti-MUC4-IR800) in orthotopic mouse models. Two pancreatic cancer human cell lines were used, SW1990 and CD18/HPAF. Results: Anti-MUC4-IR800 targeted the two pancreatic cancer cell line tumors in orthotopic mouse models with high tumor-to-pancreas ratios and high tumor-to-liver ratios, with greater targeting seen in SW1990. Conclusions: The present results suggest anti-MUC4-IR800’s potential to be used in fluorescence-guided surgical resection of pancreatic cancer.

Background/Objectives: Pancreatic cancer is the fourth leading cause of deaths related to cancer. It is a highly aggressive malignancy and often metastasizes quickly to other parts of the body and organs. The most effective cure is surgical resection, which also is limited by tumor identification and clear tumor margin visualization. Previously, we used MUC4 antibodies labeled with IRDye800CW (anti-MUC4-IR800) to target primary human pancreatic cancer in orthotopic cell line mouse models. Methods: In the present study, we established a pancreatic cancer liver metastasis mouse model by implanting a tumor fragment in the liver and a peritoneal carcinomatosis mouse model by injecting pancreatic cancer cells interperitoneally. Once the tumors were established, anti-MUC4-IR800 was administered to the mice by tail vein injection. Laparotomy was performed and tumors were imaged under white-light and near-infrared (NIR) fluorescence with the Pearl Small Animal Imaging System. Results: NIR imaging after 72 h shows the bright targeting of pancreatic cancer metastasis in both mouse models with high tumor-to-background ratios. Conclusions: Anti-MUC4-IR800 was able to successfully target and brightly label metastatic pancreatic cancer as small as 1 mm. Future clinical applications of the results of the present study are discussed.

Background/Purpose: The only potentially curative procedure for pancreatic cancer is R0 resection, which is difficult to achieve due to poorly defined tumor margins. In the present study, we used an anti-CA19-9 antibody conjugated to a near-infrared fluorophore in orthotopic mouse models to target and visualize pancreatic cancer. Methods: Orthotopic models of the human pancreatic cancer cell lines SW1990 and BxPC3 were established by implanting tumor fragments into the pancreas of athymic nude mice. Anti-CA19-9 and control IgG were conjugated with IRDye800CW. Mice received 50 µg of CA19-9–IRDye800CW or IgG-IRDye800CW via tail-vein injection and were imaged after 72 h. MIA PaCa-2, a CA19-9-negative cell line, was used in subcutaneous models to assess targeting specificity. Results: Using the LI-COR Pearl imaging system in the SW1990 model, the tumor-to-pancreas ratio (TPR) was 4.51 (±0.74), and the tumor to the liver ratio (TLR) was 3.05 (±0.60) with CA19-9-IRDye800CW, while the TPR was 1.67 (±0.16) and the TLR was 0.95 (±0.05) for the non-specific control IgG–IRDye800CW. Using a clinically available fluorescence laparoscope, CA19-9-1RDye800CW demonstrated a TPR of 2.34 (±0.44) and a TLR of 2.23 (±0.49), compared to 1.11 (±0.13) and 0.69 (±0.07), respectively, for IgG-IRDye800CW in the SW1990 orthotopic model. In the BxPC3 models, the TPR was 3.82 (±0.55) and the TLR was 4.13 (±0.77) for CA19-9-IRDye800CW compared to 2.40 (±0.31) and 1.49 (±0.23), respectively, for IgG-IRDye800CW. Conclusions: CA19-9-IRDye800CW provided specific in vivo targeting of two human pancreatic cancer cell lines in orthotopic nude mouse models with superior TPRs and TLRs compared to IgG-IRDye800CW. This tumor-specific fluorescent CA19-9 antibody is a promising clinical tool for improved visualization of pancreatic cancer.