Bladder cancer is the fifth most common cancer in the United States and one of the costliest cancers to treat. Compared to other cancer types, bladder cancer has been understudied, and there is a need for informative mouse bladder cancer models that resemble the clinical situation and allow for evaluation of chemotherapeutic or immunotherapeutic agents. The orthotopic murine bladder cancer model MB49 resembles non-muscle invasive, nonmetastatic urothelial carcinomas and provides an opportunity to study the anti-tumor effects of immune cell checkpoint inhibitors.

Cancer cells may acquire drug resistance after prolonged chemotherapy. In many cases, cancer cells develop resistance to several drugs with distinct structures and modes of action. This multi-drug resistance phenomenon increases the complexity of cancer treatment.

The MUC-1 tumor associated antigen has been shown to be overexpressed and/or underglycosylated in a wide range of human cancers.  The C-terminus region of MUC-1 (MUC-1C) has been shown to be an oncogene and has been associated with a more aggressive phenotype in several different cancers.

Human papillomavirus (HPV) is a group of human viruses known to cause various malignancies. Of the group, HPV-16 is the most prevalent strain – an estimated 90% of adults have been exposed. HPV-16 is also the strain most commonly associated with malignancy, causing the vast majority of cervical, anal, vaginal, vulvar, and penile cancers. Currently, HPV-positive malignancies non-responsive to surgery or radiation are incurable and poorly palliated by existing systemic therapies. Thus, an alternative therapeutic approach for HPV-positive malignancies is needed. 

Polo-like kinase 1 (Plk1), a member of the Polo-like kinase family, plays a critical role in regulating mitosis and cell cycle progression. Aberrant expression of Plk1 has been observed in a variety of human cancers, and it is known to be associated with tumorigenesis as well as poor prognosis in cancer patients. Unlike normal cells, some cancer cells are dependent on augmented Plk1 levels to remain viable and are killed when Plk1 function is attenuated.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.

The treatment of cancer using immunotherapies has garnered substantial attention and excitement considering the clinical benefits observed in patient populations previously refractory to treatment. Tumor infiltrating T cells can significantly impact cancer progression and immunotherapy response; however, immunosuppressive tumor microenvironments can impede antitumor T cell induction, trafficking, and local activity. Thus, personalized immunotherapy approaches have shown limited efficacy against most solid tumors.

Tumor cell lines are important tools for the study of cancer. However, most tumor cell lines available today do not mimic physiological tumor development, progression, and host immune responses. Autochthonous tumors include spontaneously occurring tumors and chemical, viral, or physical carcinogen-induced tumors. They are considered to model human tumors more closely than transplanted tumors. Autochthonous tumors can be generated de novo in a model organism of interest and are thought to resemble physiological human tumor conditions.

Immune checkpoint inhibitors (ICIs) vastly improved the outcome of various advanced cancers; however, many are less likely to respond to single-agent ICI. Tumors with low T-cell infiltration are "immunologically cold" and less likely to respond to single-agent ICI therapy. This diminished response is presumably due to the lack of neoantigens necessary to activate an adaptive immune response. On the other hand, an "immunologically hot" tumor with high T-cell infiltration has an active anti-tumor immune response following ICI treatment.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This resulted in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.