Patients with head and neck cancer present particularly considerable levels of emotional distress. However, the actual rates of clinically relevant mental health symptoms and disorders among this population remain unknown. A Preferred Reporting Items for Systematic Review and Meta-Analyses and Meta-analyses of Observational Studies in Epidemiology-compliant systematic review and quantitative random-effects meta-analysis was performed to determine suicide incidence and the prevalence of depression, anxiety, distress, posttraumatic stress, and insomnia in this population. MEDLINE, Web of Science, Cochrane Central Register, KCI Korean Journal database, SciELO, Russian Science Citation Index, and Ovid-PsycINFO databases were searched from database inception to August 1, 2023 (PROSPERO: CRD42023441432). Subgroup analyses and meta-regressions were performed to investigate the effect of clinical, therapeutical, and methodological factors. A total of 208 studies (n = 654 413; median age = 60.7 years; 25.5% women) were identified. Among the patients, 19.5% reported depressive symptoms (95% confidence interval [CI] = 17% to 21%), 17.8% anxiety symptoms (95% CI = 14% to 21%), 34.3% distress (95% CI = 29% to 39%), 17.7% posttraumatic symptoms (95% CI = 6% to 41%), and 43.8% insomnia symptoms (95% CI = 35% to 52%). Diagnostic criteria assessments revealed lower prevalence of disorders: 10.3% depression (95% CI = 7% to 13%), 5.6% anxiety (95% CI = 2% to 10%), 9.6% insomnia (95% CI = 1% to 40%), and 1% posttraumatic stress (95% CI = 0% to 84.5%). Suicide pooled incidence was 161.16 per 100 000 individuals per year (95% CI = 82 to 239). Meta-regressions found a statistically significant higher prevalence of anxiety in patients undergoing primary chemoradiation compared with surgery and increased distress in smokers and advanced tumor staging. European samples exhibited lower prevalence of distress. Patients with head and neck cancer presented notable prevalence of mental health concerns in all domains. Suicide remains a highly relevant concern. The prevalence of criteria-meeting disorders is significantly lower than clinically relevant symptoms. Investigating the effectiveness of targeted assessments for disorders in highly symptomatic patients is essential.

Multi-parametric magnetic resonance imaging (mpMRI) has emerged as an important tool for identifying clinically significant prostate cancer. We examined if the addition of a 400-variant multi-ancestry polygenic risk score (PRS) to mpMRI has the potential to improve identification. Based on data from 24 617 men from the Mass General Brigham Biobank, we identified 1243 men who underwent mpMRI. Men in the top PRS quartile were more likely to have clinically significant prostate cancer (47.1% vs 28.6% in the bottom PRS quartile, adjusted relative proportion 1.72 [95% CI = 1.35 to 2.19]). Both among men with a positive and a negative mpMRI, men in the top PRS quartile had the highest frequency of clinically significant cancer. In a constructed scenario for selecting men to undergo biopsy, use of the PRS lowered the frequency of missed clinically significant cancers from 9.1% to 5.9%. Our study provides initial support for using the PRS to improve identification of potentially lethal prostate cancer.

BackgroundYoung adult cancer survivors face medical financial hardships that may lead to delaying or forgoing medical care. This study describes the medical financial difficulties young adult cancer survivors in the United States experience in the post–Patient Protection and Affordable Care Act period.MethodWe identified 1009 cancer survivors aged 18 to 39 years from the National Health Interview Survey (2015-2022) and matched 963 (95%) cancer survivors to 2733 control individuals using nearest-neighbor matching. We used conditional logistic regression to examine the association between cancer history and medical financial hardship and to assess whether this association varied by age, sex, race and ethnicity, and region of residence.ResultsCompared with those who did not have a history of cancer, young adult cancer survivors were more likely to report material financial hardship (22.8% vs 15.2%; odds ratio = 1.65, 95% confidence interval = 1.50 to 1.81) and behavior-related financial hardship (34.3% vs 24.4%; odds ratio = 1.62, 95% confidence interval = 1.49 to 1.76) but not psychological financial hardship (52.6% vs 50.9%; odds ratio = 1.07, 95% confidence interval = 0.99 to 1.16). Young adult cancer survivors who were Hispanic or lived in the Midwest and South were more likely to report psychological financial hardship than their counterparts.ConclusionsWe found that young adult cancer survivors were more likely to experience material and behavior-related financial hardship than young adults without a history of cancer. We also identified specific subgroups of young adult cancer survivors that may benefit from targeted policies and interventions to alleviate medical financial hardship.

BackgroundPhytonutrient intakes may improve outcomes following breast cancer, but the impact of postdiagnosis introduction vs established prediagnostic exposure as well as optimum doses has not been established. Evidence from observational studies for key exposures was evaluated, including dosage and intake time frames.MethodsMEDLINE, EMBASE, CINAHL, Cochrane Library, ClinicalTrials.gov, and the ISRCTN registry were searched for prospective and retrospective observational studies investigating the impact of soybean, lignans, cruciferous (cabbage-family) vegetables, green tea, or their phytonutrients on breast cancer survival outcomes. A random-effects model was used to calculate summary hazard ratios (HRs) and 95% confidence intervals (CIs). Nonlinear dose-response analyses were conducted using restricted cubic splines.ResultsThirty-two articles were included. Soy isoflavones were associated with a 26% reduced risk of recurrence (HR = 0.74, 95% CI = 0.60 to 0.92), particularly among postmenopausal (HR = 0.72, 95% CI = 0.55 to 0.94) and estrogen receptor–positive survivors (HR = 0.82, 95% CI = 0.70 to 0.97), with the greatest risk reduction at 60 mg/day. In mortality outcomes, the reduction was mostly at 20 to 40 mg/day. Soy protein and products were inversely associated with cancer-specific mortality for estrogen receptor–positive disease (HR = 0.75, 95% CI = 0.60 to 0.92). An inverse association was observed for serum or plasma enterolactone, measured prediagnosis and early postdiagnosis, with cancer-specific mortality (HR = 0.72, 95% CI = 0.58 to 0.90) and all-cause mortality (HR = 0.69, 95% CI = 0.57 to 0.83). No effects were observed for cruciferous vegetables. There was a 44% reduced risk of recurrence with prediagnostic green tea for stage I and II breast cancer (HR = 0.56, 95% CI = 0.38 to 0.83).ConclusionsSoy, enterolactone, and green tea demonstrated significant risk reductions in outcomes following breast cancer. Evidence is needed regarding the impact of postdiagnostic introduction or substantial increase of these exposures.

It is currently not known how many more cancer deaths would have occurred among Canadians if cancer mortality rates were unchanged following various modern human interventions. The objective of this study was to estimate the number of cancer deaths that have been avoided in Canada since the age-standardized overall cancer mortality rate peaked in 1988. We applied the age-specific overall cancer mortality rates from 1988 to the Canadian population for all subsequent years to estimate the number of expected deaths. Avoided cancer deaths were estimated as the difference between the observed and expected number of cancer deaths for each year. Since 1988, there have been 372 584 (standardized mortality ratio = 0.77) and 120 045 (standardized mortality ratio = 0.90) avoided cancer deaths in males and females, respectively (492 629 total). Nearly half a million cancer deaths have been avoided in Canada since the overall cancer mortality rate peaked, which demonstrates the exceptional progress made in modern cancer control in Canada.

BackgroundThe UK National Health Service’s Predict is a clinical tool widely used to estimate the prognosis of early-stage breast cancer. The performance of Predict for a second primary breast cancer is unknown.MethodsWomen 18 years of age or older diagnosed with a first or second invasive breast cancer between 2000 and 2013 and followed for at least 5 years were identified from the US Surveillance, Epidemiology, and End Results (SEER) database. Model calibration of Predict was evaluated by comparing predicted and observed 5-year breast cancer–specific mortality separately by estrogen receptor status for first vs second breast cancer. Receiver operating characteristic curves and areas under the curve were used to assess model discrimination. Model performance was also evaluated for various races and ethnicities.ResultsThe study population included 6729 women diagnosed with a second breast cancer and 357 204 women with a first breast cancer. Overall, Predict demonstrated good discrimination for first and second breast cancers (areas under the curve ranging from 0.73 to 0.82). Predict statistically significantly underestimated 5-year breast cancer mortality for second estrogen receptor–positive breast cancers (predicted-observed = ‒6.24%, 95% CI = ‒6.96% to ‒5.49%). Among women with a first estrogen receptor–positive cancer, model calibration was good (predicted-observed = ‒0.22%, 95% CI = ‒0.29% to ‒0.15%), except in non-Hispanic Black women (predicted-observed = ‒2.33%, 95% CI = ‒2.65% to ‒2.01%) and women 80 years of age or older (predicted-observed = ‒3.75%, 95% CI = ‒4.12% to ‒3.41%). Predict performed well for second estrogen receptor–negative cancers overall (predicted-observed = ‒1.69%, 95% CI = ‒3.99% to 0.16%) but underestimated mortality among those who had previously received chemotherapy or had a first cancer with more aggressive tumor characteristics. In contrast, Predict overestimated mortality for first estrogen receptor–negative cancers (predicted-observed = 4.54%, 95% CI = 4.27% to 4.86%).ConclusionThe Predict tool underestimated 5-year mortality after a second estrogen receptor–positive breast cancer and in certain subgroups of women with a second estrogen receptor–negative breast cancer.

Telehealth restrictions were relaxed under the COVID-19 public health emergency. We examined telehealth use before and during the pandemic among patients with newly diagnosed cancers and the association between state policies and telehealth use. The study cohort was constructed from Optum's deidentified Clinformatics Data Mart and included patients with lymphoma, female breast cancer, colorectal cancer, prostate cancer, and lung cancer diagnosed between March 1, 2019, and March 31, 2021. We performed an interrupted time series analysis to examine the trend of cancer-related telehealth use within 1 month of diagnosis relative to the timing of the COVID-19 public health emergency and multivariable logistic regressions to examine factors-specifically, state parity laws and regulations on cross-state practice-associated with telehealth. Of 110 461 patients, the rate of telehealth use peaked at 33.4% in April 2020, then decreased to 12% to 15% between September 2020 and March 2021. Among the 53 982 patients diagnosed since March 2020, telehealth use was statistically significantly lower for privately insured patients residing in states with coverage-only parity or no or unspecified parity than those in states with coverage and payment parity (adjusted rate = 20.2%, 19.1%, and 23.3%, respectively). The adjusted rate was lower for patients in states with cross-state telehealth policy limitations than for those in states without restrictions (14.9% vs 17.8%). Telehealth use by patients diagnosed with cancer during the pandemic was higher among those living in states with more generous parity and less restrictive rules for cross-state practice. Policy makers contemplating whether to permanently relax certain telehealth policies must consider the impact on vulnerable patient populations who can benefit from telehealth.

Cancer prevention and control research has produced a variety of effective interventions over the years, though most are single disease focused. To meet the Cancer Moonshot goal to reduce the cancer death rate by 50% by 2047, it may be necessary to overcome the limitations of siloed interventions that do not meet people's multiple needs and limitations in system capacity to deliver the increasing number of interventions in parallel. In this article, we propose integrating multiple evidence-based interventions as a potential solution. We define 2 types of integrated interventions, blended and bundled, and provide examples to illustrate each. We then offer a schematic and outline considerations for how to assemble blended or bundled interventions including looking at the intervention need or opportunity along the cancer continuum as well as co-occurring behaviors or motivations. We also discuss delivery workflow integration considerations including social-ecological level(s), context or setting, implementer, and intended beneficiary. Finally, in assembling integrated interventions, we encourage consideration of practice-based expertise and community and/or patient input. After assembly, we share thoughts related to implementation and evaluation of blended or bundled interventions. To conclude the article, we present multiple research opportunities in this space. With swift progress on these research directions, cancer prevention and control interventionists and implementation scientists can contribute to achieving the promise of the reignited Cancer Moonshot.

Despite some positive impact, the use of electronic health records (EHRs) has been associated with negative effects, such as emotional exhaustion. We sought to compare EHR use patterns for oncology vs nononcology medical specialists. In this cross-sectional study, we employed EHR usage data for 349 ambulatory health-care systems nationwide collected from the vendor Epic from January to August 2019. We compared note composition, message volume, and time in the EHR system for oncology vs nononcology clinicians. Compared with nononcology medical specialists, oncologists had a statistically significantly greater percentage of notes derived from Copy and Paste functions but less SmartPhrase use. They received more total EHR messages per day than other medical specialists, with a higher proportion of results and system-generated messages. Our results point to priorities for enhancing EHR systems to meet the needs of oncology clinicians, particularly as related to facilitating the complex documentation, results, and therapy involved in oncology care.

Oncology clinical trials are complex, and the COVID-19 pandemic caused major disruptions in 2020. Using its networking and sharing of best practices, the Association of American Cancer Institutes, comprising 105 cancer centers, solicited a longitudinal series of voluntary surveys from members to assess how clinical trial office operations were affected. The surveys showed that centers were able to keep oncology trials available to patients while maintaining safety. Data were collected regarding interventional clinical trial accruals for the calendar years 2019, 2020, and 2021. Data demonstrated a sizeable decrease in interventional treatment trial accruals in both 2020 and 2021 compared with prepandemic figures in 2019. No cancer center reported an increase in interventional treatment trial accruals in 2020 compared with 2019, with most centers reporting a moderate decrease. In mid-2022, 15% of respondents reported an increasing trend, 31% reported no significant change, and 54% continued to report a decrease. The pandemic necessitated rapid adoption of trial operations, with the emergence of several best practices, including remote monitoring, remote consenting, electronic research charts, and work-from-home strategies for staff. The national infrastructure to conduct trials was significantly affected by the pandemic, with noteworthy resiliency, evidenced by improvements in efficiencies and patient-centered care delivery but with residual capacity challenges that will be evident for the foreseeable future.