The collapse of the World Trade Center (WTC) towers due to the terrorist attacks on September 11, 2001 created an unprecedented mixture of hazardous materials including known and suspected carcinogens including, but not limited to, asbestos, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and dioxins. Three research centers that follow cohorts of rescue/recovery workers since the WTC disaster include: the Fire Department of the City of New York (FDNY); the Icahn School of Medicine at Mount Sinai (ISMMS); and the New York City Department of Health and Mental Hygiene (DOHMH). These centers have reported mostly non-significantly elevated cancer rates post-exposure to the WTC-site. Challenges of determining the causal relationship between WTC exposure and cancer in rescue/recovery workers include: lack of individual-level exposure data for specific chemicals, different exposure ascertainment methodologies for the three cohorts, loss to follow-up, inadequate power for cohort-specific analyses, demographic heterogeneity between the cohorts, and the lack of a viable comparison cohort.

During this webinar, presenters will introduce, review, demo and/or discuss: 1. Alias Tables for improving data quality and reducing the burden of manual matches 2. Micro Match Status-a new variable describing the quality of a geocoding match 3. Advanced Search options including "Exhaustive Search," "Uncertainty Hierarchy," and "Limit Minimum Match Score" 4. New NAACCR Manual Geocoding Interface (Beta version) 5. Operations: how to interpret long/lat precision, which census years to append This webinar is relevant to all users of the NAACCR Geocoder including those accessing via the NAACCR Webpage or API, such as SEER*DMS users.

This webinar aims to more broadly share information on the Virtual Pooled Registry Cancer Linkage System (VPR-CLS) that was presented during the 2019 NAACCR/IACR Annual Meeting. Geared toward U.S. registries with knowledge of the VPR-CLS, the webinar will include presentations on the following: - VPR-CLS Pilot Testing and Next Steps - Status of the Templated IRB/Registry Application, Implementation of the Central IRB, and Local Context Issues - Cancer Ascertainment by U.S. Population-Based Cancer Registries, Self-Report and Death Certificates in the Nationwide U.S. Radiologic Technologist Cohort: A Preliminary Report

On behalf of NAACCR and our co-authors from ACS, CDC, and NCI, we are pleased to present a webinar on the latest Annual Report to the Nation on the Status of Cancer. This is our 21st Annual Report, and NAACCR was the lead agency. The Annual Report represents a collaborative effort by senior researchers from each major cancer surveillance organization in the United States to produce the up to date and comprehensive trends in cancer incidence and mortality. Each year we also focus on a special topic, and this year we focused on cancer among adults aged 20-49.

California is the most populated state and has the largest ethnic/racial minority population in the US. With 20% of the nation’s minority population living in the state, California has a unique population to both describe and serve in regards to cancer prevention and control. This NAACCR Talk highlights three California, minority-focused cancer research projects on Chinese Americans, Hispanics, and African Americans.

The Surveillance Research Program (SRP) at the Division of Cancer Control and Population Sciences of the National Cancer Institute provides national leadership in the science of cancer surveillance in the US, which includes analytical tools and methodological expertise in collecting, analyzing, interpreting, and disseminating reliable population-based cancer statistics. This surveillance infrastructure benefits the public, policymakers, and scientists in understanding changes in cancer incidence and outcomes in all segments of the US population over time. The objective of the webinar is to provide an overview of the breadth and scope of statistical software and tools in the areas of incidence and mortality, survival, prevalence, and geospatial methods and tools. At the completion of the webinar, audience will gain a basic understanding of the software/tools and will be able to explore in more details into specific tools that are applicable in their own work.

SEER*Stat is a powerful statistical application that is available free of charge from the US National Cancer Institute and provides a mechanism for the analysis of population-based cancer registry data. It has modules for the analysis and reporting of the four most common cancer-related metrics: incidence, survival, prevalence, and mortality.

SEER*Stat is a powerful statistical application that is available free of charge from the US National Cancer Institute and provides a mechanism for the analysis of population-based cancer registry data. It has modules for the analysis and reporting of the four most common cancer-related metrics: incidence, survival, prevalence, and mortality.

During the 2017 Louisiana Legislative Session, a new law was signed requiring that the Louisiana Tumor Registry (LTR) produce and release cancer incidence counts and rates at the census tract level. Previously, cancer statistics could be released to the public at the parish (county) level. To comply with this law, the LTR convened a team, including experts from NCI-SEER and IMS, to develop the appropriate methodology to produce incidence rates at the census tract level while ensuring rate stability and patient confidentiality. The objective of this presentation is to describe the LTR's experience with identifying the appropriate population source, selecting the time period for the analysis, and producing reliable cancer statistics at the census tract level, as well as to share a summary of the results.

Background There are a variety of ways to quantify cancer survival with each measure having advantages and disadvantages. For example, relative/net survival is useful for making fair comparisons between population groups and over time, but is of less relevance to clinicians or patients. The differences between the various measures and how they should be interpreted has led to confusion among scientists, the media, health care professionals and patients. Purpose and methods. We have developed an online interactive tool to help improve the understanding of a variety of cancer survival measures and how these vary between patients. Its primary purpose is to function as an aid in the interpretation of a variety of commonly reported, important and more complex cancer survival measures that are available from fitting statistical models. The interpretation is facilitated through the use of dynamic interactive graphics available using an online interactive tool. The interactivity improves understanding of these measures and how survival or mortality may vary by age and sex. Routine measures of cancer survival are reported, such as net and all-cause survival. In addition, individualised estimates using crude probabilities are often more appropriate for patients or health care professionals. The results are presented in a variety of ways, including graphs, “people charts”, tables and descriptive text using natural frequencies. All results are updated immediately when using drag bars, drop-down menus or radio buttons. This immediate feedback together with the simple text descriptions leads to both better understanding of individual risk and the differences between the various measures. Results and conclusion The online tool is in final testing using English data for a range of cancer sites. The tool is available at www.interpret.le.ac.uk. We have plans to further develop the interactive tool by incorporating data from different countries and from statistical models that incorporate more disease characteristics (e.g. stage, grade and tumour size).