Millennials (ages 18‐35) are now the largest living generation in the US, making it important to understand and characterize the rising trend of colorectal cancer incidence in this population, as well as other younger generations of Americans. Data from the New Jersey State Cancer Registry (n = 181 909) and Surveillance, Epidemiology, and End Results program (n = 448 714) were used to analyze invasive CRC incidence trends from 1979 to 2014. Age, sex, race, ethnicity, subsite, and stage differences between younger adults (20‐49) and screening age adults (≥50) in New Jersey (NJ) were examined using chi‐square; and, we compared secular trends in NJ to the United States (US). Whites, men, and the youngest adults (ages 20‐39) are experiencing greater APCs in rectal cancer incidence. Rates among younger black adults, overall, were consistently higher in both NJ and the US over time. When compared to older adults, younger adults with CRC in NJ were more likely to be: diagnosed at the late stage, diagnosed with rectal cancer, male, non‐white, and Hispanic. Invasive CRC incidence trends among younger adults were found to vary by age, sex, race, ethnicity, and subsite. Large, case‐level, studies are needed to understand the role of genetics, human papillomavirus (HPV), and cultural and behavioral factors in the rise of CRC among younger adults. Provider and public education about CRC risk factors will also be important for preventing and reversing the increasing CRC trend in younger adults.

Background: Mapping breast cancer survival can help cancer control programs prioritize efforts with limited resources. We used Bayesian spatial models to identify whether breast cancer survival among patients in New Jersey (NJ) varies spatially after adjusting for key individual (age, stage at diagnosis, molecular subtype, race/ethnicity, marital status, and insurance) and neighborhood measures of poverty and economic inequality [index of concentration at the extremes (ICE)]. Methods: Survival time was calculated for all NJ women diagnosed with invasive breast cancer between 2010 and 2014 and followed to December 31, 2015 (N = 27,078). Nonlinear geoadditive Bayesian models were used to estimate spatial variation in hazard rates and identify geographic areas of higher risk of death from breast cancer. Results: Significant geographic differences in breast cancer survival were found in NJ. The geographic variation of hazard rates statewide ranged from 0.71 to 1.42 after adjustment for age and stage, and were attenuated after adjustment for additional individual-level factors (0.87–1.15) and neighborhood measures, including poverty (0.9–1.11) and ICE (0.92–1.09). Neighborhood measures were independently associated with breast cancer survival, but we detected slightly stronger associations between breast cancer survival, and the ICE compared to poverty. Conclusions: The spatial models indicated breast cancer survival disparities are a result of combined individual-level and neighborhood socioeconomic factors. More research is needed to understand the moderating pathways in which neighborhood socioeconomic status influences breast cancer survival. Impact: More effective health interventions aimed at improving breast cancer survival could be developed if geographic variation were examined more routinely in the context of neighborhood socioeconomic inequalities in addition to individual characteristics.

Background: Despite advances in cervical cancer screening, a significant number of women in the United States have not received adequate screening. Studies have suggested that approximately half of the women who developed cervical cancer were not adequately screened. The Centers for Disease Control and Prevention (CDC) Case Investigation of Cervical Cancer (CICC) Study took a unique approach to reconstruct the time before a woman's cervical cancer diagnosis and understand the facilitators and barriers to screening and care. This article provides an overview of the study. Methods: This study included all cervical cancer survivors diagnosed with invasive cervical cancer aged 21 years and older in three U.S. states from 2014-2016. The study design consisted of three different data collection methods, including comprehensive registry data, a mailed survey, and medical chart abstraction. This overview compares the characteristics of cervical cancer survivors in the three states by study participation and eligibility status. Results: Registries identified 2,748 women diagnosed with invasive cervical cancer. Of these, 1,730 participants were eligible for participation, 28% (n = 481) enrolled in the study and 23% (n = 400) consented to the medical chart abstraction. Conclusion: The CICC Study is unique in that it addresses, with medical record verification, the medical history of woman 5 years before their cervical cancer diagnosis as well as provides information from the woman on her health care behaviors. This study provides data on a general population of cervical cancer survivors in three states that could be used to guide interventions to increase cervical cancer screening.

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