A history of keratinocyte carcinoma (KC) has been associated with survival following the diagnosis of a subsequent primary cancer, with the direction of the association varying by subsequent cancer type. Gaining a better understanding of these patterns in KC history associated with survival with subsequent cancers can lead to identification of shared etiologic pathways that may be targeted with novel prevention and/or treatment strategies for the subsequent cancers. We sought to evaluate this association among Moffitt Cancer Center patients diagnosed and/or treated with one of six cancer types: non-Hodgkin lymphoma (NHL), breast, colon, prostate, melanoma and lung cancer.
It is difficult to accurately estimate KC incidence trends at the population level since US Cancer Registries are not required to report these cancers. Thus, novel methods are needed to establish population level KC registries. The goal of this project is to identify cutaneous squamous cell carcinoma (cuSCC) and basal cell carcinoma (BCC) diagnoses from electronic pathology reports at Moffitt Cancer Center. If successful, these methods could be used to inform the development of a population-based KC registries which could be used to advance KC surveillance and research.
Electronic medical records (EMR) are widely used for precision medicine, observational research, and population health management. However, a large percent of EMR data can be stored in scanned documents external to the main treatment facility, posing an informatics challenge. Studies are needed to characterize the clinical information uniquely contained in scanned outside documents (SOD) to understand how access to data in SOD (or lack thereof) may affect quality reporting and the use of these “real-world data” for cancer research. The purpose of this study was to compare the completeness and concordance of two data sets abstracted with and without the use of SOD.
Patients seek care at Moffitt for a variety of reasons including cancer diagnosis, cancer treatment, second opinions and receive services for non-cancerous conditions such as cancer screening and prevention. In this study, a cross-sectional analysis of more than 180,000 patients was conducted to investigate demographic and clinical factors associated with the completion of the electronic new patient clinical intake form to assess the generalizability of these data for research purposes.
Clinical research through therapeutic clinical trials is an essential approach to advancing treatments to improve patient outcomes. Yet, trial participation rates for racial and ethnic minority cancer patients is particularly low. The underrepresentation of minorities in clinical trials undermines the generalizability of clinical trial data, particularly those leading to the approval of novel cancer therapeutic agents. In this cross-sectional analysis we examined factors that may contribute to clinical trial ineligibility among Moffitt patients diagnosed with breast, lung and multiple myeloma by race/ethnicity. Our preliminary findings suggest that certain comorbidities are more prevalent in racial/ethnic minorities and could potentially impact their eligibility for trials.