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We developed a summer research experience program within a freestanding comprehensive cancer center to cultivate undergraduate students with an interest in and an aptitude for quantitative sciences focused on oncology. This unconventional location for an undergraduate program is an ideal setting for interdisciplinary training in the intersection of oncology, statistics, and epidemiology. This article describes the development and implementation of a hands-on research experience program in this unique environment. Core components of the program include faculty-mentored projects, instructional programs to improve research skills and domain knowledge, and professional development activities. We discuss key considerations such as fostering effective partnership between research and administrative units, recruiting students, and identifying faculty mentors with quantitative projects. We describe evaluation approaches and discuss post-program outcomes and lessons learned. In its initial two years, the program successfully improved the students' perception of competence gained in research skills and statistical knowledge across several knowledge domains. The majority of students also went on to pursue graduate degrees in a quantitative field or work in oncology-centric academic research roles. Our research-based training model can be adapted by a variety of organizations motivated to develop a summer research experience program in quantitative sciences for undergraduate students. Supplemental files for this article are available online.

Lung cancer is the leading cause of mortality and person‐years of life lost from cancer among US men and women. Early detection has been shown to be associated with reduced lung cancer mortality. Our objective was to update the American Cancer Society (ACS) 2013 lung cancer screening (LCS) guideline for adults at high risk for lung cancer. The guideline is intended to provide guidance for screening to health care providers and their patients who are at high risk for lung cancer due to a history of smoking. The ACS Guideline Development Group (GDG) utilized a systematic review of the LCS literature commissioned for the US Preventive Services Task Force 2021 LCS recommendation update; a second systematic review of lung cancer risk associated with years since quitting smoking (YSQ); literature published since 2021; two Cancer Intervention and Surveillance Modeling Network‐validated lung cancer models to assess the benefits and harms of screening; an epidemiologic and modeling analysis examining the effect of YSQ and aging on lung cancer risk; and an updated analysis of benefit‐to‐radiation‐risk ratios from LCS and follow‐up examinations. The GDG also examined disease burden data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program. Formulation of recommendations was based on the quality of the evidence and judgment (incorporating values and preferences) about the balance of benefits and harms. The GDG judged that the overall evidence was moderate and sufficient to support a strong recommendation for screening individuals who meet the eligibility criteria. LCS in men and women aged 50–80 years is associated with a reduction in lung cancer deaths across a range of study designs, and inferential evidence supports LCS for men and women older than 80 years who are in good health. The ACS recommends annual LCS with low‐dose computed tomography for asymptomatic individuals aged 50–80 years who currently smoke or formerly smoked and have a ≥20 pack‐year smoking history (strong recommendation, moderate quality of evidence). Before the decision is made to initiate LCS, individuals should engage in a shared decision‐making discussion with a qualified health professional. For individuals who formerly smoked, the number of YSQ is not an eligibility criterion to begin or to stop screening. Individuals who currently smoke should receive counseling to quit and be connected to cessation resources. Individuals with comorbid conditions that substantially limit life expectancy should not be screened. These recommendations should be considered by health care providers and adults at high risk for lung cancer in discussions about LCS. If fully implemented, these recommendations have a high likelihood of significantly reducing death and suffering from lung cancer in the United States. [ABSTRACT FROM AUTHOR]

PURPOSE Oral anticancer drugs (OACDs) have become increasingly prevalent over the past decade. OACD prescriptions require coordination between payers and providers, which can delay drug receipt. We examined the association between insurance type, pursuit of copayment assistance, pursuit of prior authorization (PA), and time to receipt (TTR) for new OACD prescriptions. METHODS We prospectively collected data on new OACD prescriptions for adult oncology patients from January 1, 2018, to December 31, 2019, including demographic and clinical characteristics, insurance type, and pursuit of PA and copayment assistance. TTR was defined as the number of days from prescription to OACD receipt. We summarized TTR using cumulative incidence and compared TTR by insurance type, pursuit of copayment assistance, and PA activity using the logrank test. RESULTS Our cohort of 1,024 patients was 53% male, and 40% were younger than 65. Twenty-six percent had commercial insurance only, 16% had Medicaid only, and 59% had Medicare with or without additional insurance. Eighty-six percent of prescriptions were successfully received. Across all prescriptions, 69% involved PA activity, and 21% involved the copayment assistance process. In unadjusted analyses, prescriptions involving the copayment assistance process had longer TTR compared with those not involving assistance (log-rank P value = .005) and OACDs covered by Medicare/commercial insurance had a longer TTR compared with Medicaid (log-rank P value = .006). The PA process was not associated with TTR (log-rank P value = .124). CONCLUSION The process for obtaining OACDs is complex. The copayment assistance process and Medicare/commercial insurance are associated with delayed TTR. New policies are needed to reduce time to OACD receipt. [ABSTRACT FROM AUTHOR]