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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Related Experiment Video

Updated: May 12, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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The Population Cancer Assessment and Surveillance Engine (PopCASE): An Emerging Population Cancer Data Platform.

Johnie Rose1, Fatima Hussain1, Satya S Sahoo1

  • 1Case Western Reserve University School of Medicine, Cleveland, OH.

Journal of Registry Management
|May 11, 2026
PubMed
Summary
This summary is machine-generated.

The Population Cancer Assessment and Surveillance Engine (PopCASE) links cancer registry data with community information. This tool enhances cancer surveillance and research by providing detailed population health insights.

Keywords:
cancercommunityinformaticsregistrysocial drivers of health

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Cancer registry data is valuable but can be enhanced by integrating community-level information.
  • Linking patient addresses to community metrics provides a richer context for cancer surveillance.
  • Existing methods for integrating these data sources are often complex and resource-intensive.

Purpose of the Study:

  • To describe the development of the Population Cancer Assessment and Surveillance Engine (PopCASE).
  • To create a platform for central cancer registries to link registry data with community data.
  • To facilitate population cancer research and surveillance through integrated data.

Main Methods:

  • PopCASE links cancer registry records to community metrics (demographic, socioeconomic, healthcare access, risk factors) using patient residential addresses.
  • The application provides a user interface for querying linked data by demographic, geographic, or disease criteria.
  • Data can be stratified by various geographic levels including county, municipality, ZCTA, and census tract.

Main Results:

  • PopCASE enables the linking of cancer registry data with a wide array of community metrics.
  • Users can generate reports on cancer incidence, mortality, stage at diagnosis, and time-to-treatment, stratified by community characteristics.
  • The platform supports the creation of patient-level linked research datasets.

Conclusions:

  • PopCASE offers a robust solution for integrating cancer registry and community data.
  • The application can be implemented in cancer centers for research or by central registries for surveillance.
  • PopCASE is expected to enhance cancer research, surveillance, and understanding of cancer disparities.