Cancer Causes & Control最新文献

Purpose: We present findings from an assessment of award recipients' partners from the Centers for Disease Control and Prevention's Colorectal Cancer Control Program (CRCCP). We describe partners' processes of identifying and tracking patients undergoing stool-based screening.

Methods: We analyzed data from eight CRCCP award recipients purposively sampled and their partner health systems from 2019 to 2023. The data included number of stool-based tests distributed and returned; abnormal findings; referrals and completion of follow-up colonoscopies; and colonoscopy findings. We also report on strategies to improve tracking of stool-based tests and facilitation of follow-up colonoscopies.

Results: Five of eight CRCCP award recipients reported that all or some partner health systems were able to report stool test return rates. Six had health systems that were able to report abnormal stool test findings. Two reported that health systems could track time to follow-up colonoscopy completion from date of referral, while four could report colonoscopy completion but not the timeframe. Follow-up colonoscopy completion varied substantially from 24.2 to 75.5% (average of 47.9%). Strategies to improve identifying and tracking screening focused mainly on the use of electronic medical records; strategies to facilitate follow-up colonoscopy were multi-level.

Conclusion: Health systems vary in their ability to track steps in the stool-based screening process and few health systems can track time to completion of follow-up colonoscopy. Longer time intervals can result in more advanced disease. CRCCP-associated health systems participating in this study could support the implementation of multicomponent strategies at the individual, provider, and health system levels to improve tracking and completion of follow-up colonoscopy.

Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer deaths in women, with psychosocial stress commonly cited by patients as one of its causes. While there is conflicting epidemiological evidence investigating the association between psychosocial stress and breast cancer incidence and progression, there is reason to believe that interventions aimed at reducing stress pharmacologically or psychologically may improve breast cancer outcomes. The aim of this review is to discuss the molecular and biological mechanisms of stress-attributed breast cancer incidence and progression, including the induction of the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS), as well as decreased immune function and stress hormone-induced resistance to chemotherapy. Moreover, these mechanisms have been cited as potential therapeutic targets of pharmacologic and psychological interventions that may improve the care, well-being and survival of breast cancer patients. Further research is recommended to investigate whether interventions in the primary care setting for women with risk factors for breast cancer development may lead to a decreased incidence of invasive breast tumors.

Purpose: Mental health disorders, substance abuse, and tobacco use are prevalent in the US population. However, the association between these conditions and head and neck cancer (HNC) stage is poorly understood. This research aims to uncover the relationship between pre-existing mental health disorders, substance abuse, and tobacco use and HNC stage at diagnosis in patients receiving care in an integrated, public safety-net healthcare system.

Methods: This study was a secondary data analysis of linked hospital tumor registries and electronic health record (EHR) data. The study's primary independent variables were the comorbidities of mental health disorders, substance abuse, and tobacco use. The dependent variable was HNC stage at diagnosis, operationalized as early stage (i.e., stages I, II, and III) and advanced stage (stage IV, IVA, IVB, or IVC). The analysis included multivariable logistic regression adjusted for covariates of demographic variables, tumor anato RESULTS: The study population consisted of 357 patients with median age of 59 years, and was primarily male (77%), diverse (Black or African American 41%; Hispanic 22%), and from neighborhoods with low income (median average annual household income $39,785). Patients with a history of mental health disorders with or without tobacco use had significantly lower odds of advanced stage HNC at diagnosis (adjusted OR = 0.35, 95% Confidence Interval [CI]: 0.17-0.72.) while patients with a history of substance abuse with or without tobacco use had significantly higher odds of advanced stage HNC at diagnosis (adjusted OR 1.41, 95% CI: 1.01-1.98) than patients with no history of mental health disorders, substance abuse, or tobacco use.

Conclusions: The relationship between HNC stage at diagnosis and the comorbidities of mental health disorders, substance abuse, or tobacco differs depending on the type and co-occurrence of these comorbidities. These findings demonstrate the need for innovative care delivery models and education initiatives tailored to meet the needs of patients with mental health disorders, substance abuse, and tobacco use that facilitate early detection of HNC.

Purpose: Improving cancer outcomes in Sub-Saharan Africa (SSA) requires effective implementation of evidence-based strategies. This scoping review maps the evidence on lymphoma epidemiology, treatment challenges, and patient pathways in SSA from 2011 to 2022.

Methods: A comprehensive three-step search was conducted without language restrictions.

Results: Eighty-four publications were included, 83% published after 2017. Southern and Eastern Africa led in output. Most studies were chart reviews (47.6%) and cohort studies (25%). NHL accounted for over 80% of cases, with an age-standardized rate (ASR) reaching 10.9/100,000, while HL had an ASR of 0.4-2.3/100,000. Compared to studies in Europe and US, SSA studies reported lower incidence rates, higher HIV comorbidity, and younger median ages. Diagnosis is often delayed, incomplete and lacks sub-classification with HIV and tuberculosis further complicating care. One-year survival rates are around 50% for NHL and over 75% for HL. Treatment is well-tolerated with an acceptable treatment-related mortality rate. However, outcomes are affected by diagnostic delays, late presentations, and treatment abandonment. Non-clinical aspects of care such as financial constraints negatively impact patient pathways.

Conclusion: Addressing diagnostic delays, misdiagnosis, and treatment abandonment is crucial. Strengthening care access, diagnostics, and integrating innovative strategies including a multidisciplinary approach and re-designing efficient clinical diagnostic pathways are vital.

Purpose: Surveillance, Epidemiology, and End Results (SEER) cancer registries provides information about survival duration and cause of death for cancer patients. Baseline demographic and tumor characteristics such as age, sex, race, year of diagnosis, and tumor stage can inform the expected survival time of patients, but their associations with survival may not be constant over the post-diagnosis period.

Methods: Using SEER data, we examined if there were time-varying associations of patient and tumor characteristics on survival, and we assessed how these relationships differed across 14 cancer sites. Standard Cox proportional hazards models were extended to allow for time-varying associations and incorporated into a competing-risks framework, separately modeling cancer-specific and other-cause deaths. For each cancer site and for each of the five factors, we estimated the relative hazard ratio and absolute hazard over time in the presence of competing risks.

Results: Our comprehensive consideration of patient and tumor characteristics when estimating time-varying hazards showed that the associations of age, tumor stage at diagnosis, and race/ethnicity with risk of death (cancer-specific and other-cause) change over time for many cancers; characteristics of sex and year of diagnosis exhibit some time-varying patterns as well. Stage at diagnosis had the largest associations with survival.

Conclusion: These findings suggest that proportional hazards assumptions are often violated when examining patient characteristics on cancer survival post-diagnosis. We discuss several interesting results where the relative hazards are time-varying and suggest possible interpretations. Based on the time-varying associations of several important covariates on survival after cancer diagnosis using a pan-cancer approach, the likelihood of the proportional hazards assumption being met or corresponding interpretation should be considered in survival analyses, as flawed inference may have implications for cancer care and policy.

Purpose: This study performed a bidirectional Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein and 41 inflammatory regulators with melanoma, including data from UK Biobank, Cardiovascular Risk in Young Finns Study, and Cohorts for Inflammation Work Group.

Methods: We selected the inverse variance weighting (IVW) to merge the estimated causal effects of multiple SNPs into a weighted average. To evaluate the heterogeneities of IVW, the Cochran Q statistic, and I² index were used. What's more, several sensitivity analyses were employed, including IVW, MR-Egger, weighted median, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO).

Results: With SNPs reaching P < 5 × 10^-8, the analyses findings revealed that IL-16 had a significant positively association with genetically risk of melanoma (OR_IVW: 1.05; 95% CI: 1.03-1.07; P < 0.001), and high levels of MCP1 (OR_IVW: 1.13; 95% CI: 1.03-1.23; P = 0.01) were suggestively associated with melanoma susceptibility. What's more, TNF-β (OR_IVW: 1.07; 95% CI: 1.01-1.13; P = 0.02) and IL-8 (OR_IVW: 1.08, 95% CI: 1.01-1.16; P = 0.03) were demonstrated a positive association with the risk of melanoma under a less stringent cut-off (P < 5 × 10^-6). Conversely, we found a facilitative effect of melanoma susceptibility on IP-10 and inhibitory effects on IL-6, IL-1b, and GRO-α.

Conclusion: The genetic evidence that we have uncovered indicates a potential association between the levels of specific inflammatory markers (IL-16, IL-8, MCP-1, and TNF-β) and the risk of melanoma. Further research is imperative to translate these findings into clinical applications.

Purpose: To investigate changes in breast cancer incidence rates associated with Medicaid expansion in California.

Methods: We extracted yearly census tract-level population counts and cases of breast cancer diagnosed among women aged between 20 and 64 years in California during years 2010-2017. Census tracts were classified into low, medium and high groups according to their social vulnerability index (SVI). Using a difference-in-difference (DID) approach with Poisson regression models, we estimated the incidence rate, incidence rate ratio (IRR) during the pre- (2010-2013) and post-expansion periods (2014-2017), and the relative IRR (DID estimates) across three groups of neighborhoods.

Results: Prior to the Medicaid expansion, the overall incidence rate was 93.61, 122.03, and 151.12 cases per 100,000 persons among tracts with high, medium, and low-SVI, respectively; and was 96.49, 122.07, and 151.66 cases per 100,000 persons during the post-expansion period, respectively. The IRR between high and low vulnerability neighborhoods was 0.62 and 0.64 in the pre- and post-expansion period, respectively, and the relative IRR was 1.03 (95% CI 1.00 to 1.06, p = 0.026). In addition, significant DID estimate was only found for localized breast cancer (relative IRR = 1.05; 95% CI, 1.01 to 1.09, p = 0.049) between high and low-SVI neighborhoods, not for regional and distant cancer stage.

Conclusions: The Medicaid expansion had differential impact on breast cancer incidence across neighborhoods in California, with the most pronounced increase found for localized cancer stage in high-SVI neighborhoods. Significant pre-post change was only found for localized breast cancer between high and low-SVI neighborhoods.

Purpose: Cancer registries offer an avenue to identify cancer clusters across large populations and efficiently examine potential environmental harms affecting cancer. The role of known metal carcinogens (i.e., cadmium, arsenic, nickel, chromium(VI)) in breast and colorectal carcinogenesis is largely unknown. Historically marginalized communities are disproportionately exposed to metals, which could explain cancer disparities. We examined area-based metal exposures and odds of residing in breast and colorectal cancer hotspots utilizing state tumor registry data and described the characteristics of those living in heavy metal-associated cancer hotspots.

Methods: Breast and colorectal cancer hotspots were mapped across Kentucky, and area-based ambient metal exposure to cadmium, arsenic, nickel, and chromium(VI) were extracted from the 2014 National Air Toxics Assessment for Kentucky census tracts. Among colorectal cancer (n = 56,598) and female breast cancer (n = 77,637) diagnoses in Kentucky, we used logistic regression models to estimate Odds Ratios (ORs) and 95% Confidence Intervals to examine the association between ambient metal concentrations and odds of residing in cancer hotspots, independent of individual-level and neighborhood risk factors.

Results: Higher ambient metal exposures were associated with higher odds of residing in breast and colorectal cancer hotspots. Populations in breast and colorectal cancer hotspots were disproportionately Black and had markers of lower socioeconomic status. Furthermore, adjusting for age, race, tobacco and neighborhood factors did not significantly change cancer hotspot ORs for ambient metal exposures analyzed.

Conclusion: Ambient metal exposures contribute to higher cancer rates in certain geographic areas that are largely composed of marginalized populations. Individual-level assessments of metal exposures and cancer disparities are needed.

Purpose: Colorectal cancer screening is recommended starting at age 45, but there has been little research on strategies to promote screening in patients younger than 50.

Methods: An outreach program quasi-randomly assigned patients aged 45-50 without recent fecal immunochemical test (FIT), colonoscopy or contraindications to screening to two intervention arms: electronic outreach with email and text (electronic outreach only) versus electronic outreach plus mailed outreach with FIT, an instructional letter and a prepaid return envelope (mailed + electronic outreach). In response to known disparities in screening uptake, all Black patients were assigned to receive mailed + electronic outreach.

Results: Among patients quasi-randomly assigned to an intervention (non-Black patients), the 180-day FIT completion rate was 18.8% in the electronic outreach only group (n = 1,318) and 25.0% in the mailed + electronic outreach group (n = 1,364) (difference 6.2% [95% CI 3.0, 9.4]). FIT completion was 16.6% among Black patients (n = 469), 8.4% (95% CI 4.1, 12.6) lower than among non-Black patients also assigned to mailed + electronic outreach.

Conclusion: Among patients aged 45-50, mailed + electronic outreach had a greater effect on FIT completion than electronic outreach alone. Crossover between intervention groups likely lead to an underestimation of the effect of mailed outreach.

Purpose: Community health needs assessments are required for most state and local public health agencies and non-profit hospitals. Typically based on community health improvement planning models, these assessments encompass overall community health and multiple diseases to inform program planning. National Cancer Institute (NCI)-designated Cancer Centers and community-based cancer-focused programs share the goal of reducing cancer burden in the catchment areas they serve. However, to date, no published models exist to guide cancer-specific needs assessments for a determined geographic area that can inform both public health and research initiatives. The purpose of this article is to outline a cancer needs assessment (CNA) framework and community-engaged, mixed-methods process, along with a case study of how we applied it in Kentucky.

Methods: We convened a steering committee of key organizational partners to provide input throughout the process. We developed a conceptual framework of multi-level determinants affecting cancer-related outcomes. We incorporated both quantitative and qualitative data gathered through a variety of means, including a novel application of group concept mapping to guide definition of priorities.

Results: The resulting CNA has helped guide strategic planning and priorities for Kentucky's Cancer Action Plan, Markey Cancer Center, state agencies, and community-based organizations.

Conclusion: This framework and process can be used collaboratively by cancer center Community Outreach and Engagement offices, public health agencies, oncology programs, and community partners to plan impactful cancer control programs and research in their catchment areas. Universities can also use them to inform the planning of community engagement and health equity research efforts.