Studies have reported inverse associations of pre-diagnosis recreational physical activity (RPA) level with all-cause and breast cancer (BCa)-specific mortality among BCa patients. However, the association between pre-diagnosis RPA level and BCa recurrence is unclear. We investigated the association between pre-diagnosis RPA level and risk of BCa recurrence in the California Teachers Study (CTS). Stage I-IIIb BCa survivors (n = 6,479) were followed with median of 7.4years, and 474 BCa recurrence cases were identified. Long-term (from high school to age at baseline questionnaire, or, age 55years, whichever was younger) and baseline (past 3 years reported at baseline questionnaire) pre-diagnosis RPA levels were converted to metabolic equivalent of task-hours per week (MET-hrs/wk). Multivariable Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of BCa recurrence overall and by estrogen receptor (ER)/progesterone receptor (PR) status. Long-term RPA was not associated with BCa recurrence risk (ptrend = 0.99). The inverse association between baseline pre-diagnosis RPA level and BCa recurrence risk was marginally significant (≥26.0 vs. <3.4 MET-hrs/wk: HR = 0.79, 95% CI = 0.60-1.03; ptrend = 0.07). However, the association became non-significant after adjusting for post-diagnosis RPA (ptrend = 0.65). An inverse association between baseline pre-diagnosis RPA level and BCa recurrence risk was observed in ER-PR- cases (≥26.0 vs. <3.4 MET-hrs/wk: HR = 0.31, 95% CI = 0.13-0.72; ptrend = 0.04), but not in ER+ or PR+ cases (ptrend = 0.97). Our data indicates that the benefit of baseline RPA on BCa recurrence may differ by tumor characteristics. This information may be particularly important for populations at higher risk of ER-PR- BCa.

Gastric cancer is a major cause of morbidity and mortality in Japan and worldwide. Emerging literature has suggested unfavorable health outcomes associated with daytime napping. Herein, we aimed to investigate the association between daytime napping and the risk of gastric cancer among Japanese people. This prospective cohort study included 49,037 participants, aged 40-79years, from the Japan Collaborative Cohort Study (JACC Study). Participants with positive cancer history and those who reported night or rotational shift work were excluded. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of incident gastric cancer among daytime nappers. Within 650,040 person-years (median = 13.7years) of follow-up, 1,164 participants developed gastric cancer. Daytime napping was associated with the increased risk of gastric cancer in the multivariable-adjusted model: HR (95% CI) = 1.14 (1.01, 1.29). The excess risk did not significantly differ across sexes, age groups (<65 and ≥65years), and employment status (employed and unemployed) (p-interactions > 0.40). However, sleep duration modified this effect: HRs (95% CIs) = 1.66 (1.23, 2.23) in sleep duration ≤6h/night versus 1.06 (0.93, 1.21) in sleep duration >6h/night (p-interaction = 0.006). Daytime napping was associated with increased gastric cancer risk, especially among those who reported short sleep duration.

Breast cancer (BC) is the most common and fatal cancer among women, yet the causal relationship between circulating lipids, lipid-lowering drugs, and BC remains unclear. Mendelian randomization (MR) and summary data-based MR (SMR) analysis are used to explore the causal relationship between plasma lipids, lipid-lowering drug targets, and BC. The result of MR suggested that per mg/dL higher levels of LDL-C (OR = 1.045, FDR = 0.023), HDL-C (OR = 1.079, FDR = 0.003), TC (OR = 1.043, FDR = 0.026), and APOA-I (OR = 1.085, FDR = 2.64E-04) were associated with increased BC risk, while TG was associated with reduced BC risk (OR = 0.926, FDR = 0.003). Per mg/dL higher levels of HDL-C (OR = 1.080, FDR = 0.011) and APOA-I (OR = 1.083, FDR = 0.002) were associated with increased ER+BC risk, while TG was associated with reduced ER+BC risk (OR = 0.909, FDR = 0.002). For every per 1mg/dL decrease in LDL, HMGCR (OR: 0.839; FDR = 0.016), NPC1L1 (OR: 0.702; FDR = 0.004), and PCSK9 (OR: 0.916; FDR = 0.026) inhibition were associated with reduced BC risk, whereas CETP inhibition (OR: 1.194; FDR = 0.026) was associated with increased BC risk. For every per 1mg/dL decrease in LDL, HMGCR (OR: 0.822; FDR = 0.023), NPC1L1 (OR: 0.633; FDR = 2.37E-03), and APOB inhibition (OR: 0.816; FDR = 1.98E-03) were associated with decreased ER-BC risk, while CETP inhibition (OR: 1.465; FDR = 0.011) was associated with increased ER-BC risk. SMR analysis indicated that HMGCR was associated with increased BC risk (OR: 1.112; p = 0.044). Lipids are associated with the BC risk, and lipid-lowering drugs targets HMGCR, NPC1L1, PCSK9, and APOB may be effective strategies for preventing BC. However, lipid-lowering drugs target CETP may potentially increase BC risk.

Previous studies have shown that individuals living in areas with persistent poverty (PP) experience worse cancer outcomes compared to those living in areas with transient or no persistent poverty (nPP). The association between PP and melanoma outcomes remains unexplored. We hypothesized that melanoma patients living in PP counties (defined as counties with ≥ 20% of residents living at or below the federal poverty level for the past two decennial censuses) would exhibit higher rates of incidence-based melanoma mortality (IMM). We used Texas Cancer Registry data to identify the patients diagnosed with invasive melanoma or melanoma in situ (stages 0 through 4) between 2000 and 2018 (n = 82,458). Each patient's PP status was determined by their county of residence at the time of diagnosis. After adjusting for demographic variables, logistic regression analyses revealed that melanoma patients in PP counties had statistically significant higher IMM compared to those in nPP counties (17.4% versus 11.3%) with an adjusted odds ratio of 1.35 (95% CI 1.25-1.47). These findings highlight the relationship between persistent poverty and incidence-based melanoma mortality rates, revealing that melanoma patients residing in counties with persistent poverty have higher melanoma-specific mortality compared to those residing in counties with transient or no poverty. This study further emphasizes the importance of considering area-specific socioeconomic characteristics when implementing place-based interventions to facilitate early melanoma diagnosis and improve melanoma treatment outcomes.

Although national medical organizations often neglect to include trans and gender diverse (TGD) people in their breast and cervical cancer screening recommendations, the World Profession Association of Transgender Health recommends that TGD people who are at risk for these cancers follow existing guidelines for cisgender women. Despite WPATH's recommendations, TGD people are less likely to get screened in large part due to discrimination. The COVID-19 pandemic has limited access to cancer screenings among cisgender people, but it is unknown how this has impacted TGD people. Using national survey data from the Behavioral Risk Factors Surveillance System (BRFSS), we examined differences in cervical and breast cancer screening noncompliance across gender identity at two time points: before and during the COVID-19 pandemic. Screening noncompliance increased during the COVID-19 pandemic among cisgender and TGD people (e.g., transgender men, gender non-conforming people). Compared to cisgender women, transgender men and gender non-conforming respondents had higher odds of breast cancer screening noncompliance before and during COVID-19. Transgender men had lower odds of cervical cancer screening noncompliance than cisgender women before COVID-19, but higher odds during the pandemic. Gender non-conforming respondents also had lower odds of cervical cancer screening noncompliance during COVID-19 compared to cisgender women. Screening noncompliance for breast and cervical cancer was more common among TGD people than cisgender women; while these disparities existed before the COVID-19 pandemic, they were exacerbated during the pandemic. Future work should move beyond descriptive statistics and elucidate underlying causes to inform interventions.

Acute lymphoblastic leukemia (ALL) is a type of blood cancer that affects white blood cells. Here, we use data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, to estimate the burden and incidence rate changes in adolescents and young adults (AYA) ALL in the Western Pacific Region and to reveal potential risk factors of incidence- and mortality rates. The GBD 2019 study data was stratified by sex, age, country, and territory. We calculated the Estimated annual percentage changes (estimated APC) in mortality and incidence rates for each of the 25 countries and territories of the western Pacific region from 1990 to 2019. This study found global AYA ALL incidence rates had increased while the mortality rates had decreased between 1990 and 2019. Moreover, healthcare access and quality (HAQ), and government per capita health spending were identified as country-level risk factors of AYA ALL incidence rates, while HAQ, male education, and sex were identified as mortality rate predictors in 25 Western Pacific Region countries. To address and reduce the burden of incidence and mortality among AYA, various regions around the world, particularly developing countries, could revise their AYA prevention and treatment strategies.

IntroductionThe NIH All of Us Research Program has enrolled over 544,000 participants across the US with unprecedented racial/ethnic diversity, offering opportunities to investigate myriad exposures and diseases. This paper aims to investigate the association between PM2.5 exposure and cancer risks.Materials and methodsThis work was performed on data from 409,876 All of Us Research Program participants using the All of Us Researcher Workbench. Cancer case ascertainment was performed using data from electronic health records and the self-reported Personal Medical History questionnaire. PM2.5 exposure was retrieved from NASA’s Earth Observing System Data and Information Center and assigned using participants’ 3-digit zip code prefixes. Multivariate logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). Generalized additive models (GAMs) were used to investigate non-linear relationships.ResultsA total of 33,387 participants and 46,176 prevalent cancer cases were ascertained from participant EHR data, while 20,297 cases were ascertained from self-reported survey data from 18,133 participants; 9,502 cancer cases were captured in both the EHR and survey data. Average PM2.5 level from 2007 to 2016 was 8.90 μg/m3 (min 2.56, max 15.05). In analysis of cancer cases from EHR, an increased odds for breast cancer (OR 1.17, 95% CI 1.09–1.25), endometrial cancer (OR 1.33, 95% CI 1.09–1.62) and ovarian cancer (OR 1.20, 95% CI 1.01–1.42) in the 4th quartile of exposure compared to the 1st. In GAM, higher PM2.5 concentration was associated with increased odds for blood cancer, bone cancer, brain cancer, breast cancer, colon and rectum cancer, endocrine system cancer, lung cancer, pancreatic cancer, prostate cancer, and thyroid cancer.ConclusionsWe found evidence of an association of PM2.5 with breast, ovarian, and endometrial cancers. There is little to no prior evidence in the literature on the impact of PM2.5 on risk of these cancers, warranting further investigation.

Research has shown that racial/ethnic disparities exist in outcomes for colorectal cancer (CRC) patients, but there are no studies assessing inpatient palliative care utilization and hospitalization outcomes in this population. We examined racial/ethnic disparities in palliative care utilization and hospitalization outcomes among CRC and early-onset CRC patients. Using National Inpatient Sample (NIS) data collected between 2016 and 2018, cross-sectional analyses were performed. Descriptive analyses were done, stratified by race/ethnicity. Multivariable logistic and linear regression models were used to examine racial/ethnic differences in palliative care utilization, inpatient mortality, chemotherapy/radiotherapy use, length of stay and total hospital charges among hospitalized patients with CRC and early-onset CRC. Blacks had higher odds (AOR: 1.09; 95% CI: 1.03-1.16) of receiving palliative care consultation while Hispanics had lower odds (AOR: 0.90; 95% CI: 0.84-0.96) compared to Whites. Blacks had 1.1 times higher odds (95% CI: 1.01-1.18) of inpatient mortality relative to Whites while Hispanics had 16% (AOR: 0.84; 95% CI: 0.76-0.93) lower odds of inpatient mortality. Compared to Whites, Blacks (AOR: 1.99; 95% CI: 1.64-2.41), Hispanics (AOR: 2.49; 95% CI: 1.94-3.19) and colorectal cancer patients in the other category (AOR: 1.72; 95% CI: 1.35-2.18) were more likely to receive inpatient treatment with chemotherapy/radiotherapy. Furthermore, Black patients were 1.1 times (95% CI: 1.06-1.14) more likely to have a length of stay more than 5 days. Blacks (𝛃: $3,096.7; 95% CI: $1,207.0-$4,986.5) Hispanic (𝛃: $10,237.5; 95% CI: $7,558.2-$12,916.8) and other patients (𝛃: $6,332.0; 95% CI: $2,830.9-$9, 833.2) had higher hospital charges relative to their White counterparts. Among patients with early onset CRC, Blacks had higher palliative care use (AOR: 1.29; 95% CI: 1.10-1.51) and inpatient mortality (AOR: 1.38; 95% CI: 1.06-1.79) while Hispanics reported $5,589.7 (95% CI: $683.2-$10,496.2) higher total hospital charges and were more likely to receive inpatient chemotherapy/radiotherapy (AOR: 2.48; 95% CI: 1.70-3.63). Further research is needed to explore specific cultural, socioeconomic, and political factors that explain these disparities and identify ways to narrow the gap. Meanwhile, the healthcare sector will need to assess what strategies might be helpful in addressing these disparities in outcomes in the context of other socioeconomic and cultural factors that may be affecting the patients.

We examined whether having a history of cancer and chronic diseases was associated with guideline-concordant colorectal cancer (CRC) screening utilization. Self-reported data from the 2020 and 2021 Behavioral Risk Factor Surveillance System in Oregon and West Virginia were used. Guideline-concordant CRC screening was the outcome of interest. The exposure was having a personal history of cancer, chronic diseases, or both. Multivariable logistic regressions were applied to assess the abovementioned association. Among 10,373 respondents aged 45-75years, 75.5% of those with a history of cancer and chronic diseases had guideline-concordant CRC screening use versus 52.8% of those without any history (p-value < 0.05). In multivariable analysis, having a history of cancer (OR 1.74; 95% CI 1.11-2.71), chronic diseases (OR 1.35; 95% CI 1.14-1.59), and both cancer and chronic diseases (OR 2.14; 95% CI 1.62-2.82) were positively associated with screening uptake compared to respondents without any history. Regardless of disease history, older age was associated with greater CRC screening uptake (p-value < 0.05). Among respondents with chronic diseases only or without any condition, those with a health care provider had 1.7-fold and 2.7-fold increased odds of receiving CRC screening, respectively. However, current smokers were 28% and 34% less likely to be screened for CRC among those with chronic diseases only and without any conditions, respectively. Having a personal history of cancer and chronic diseases appears to be positively associated with guideline-concordant CRC screening use. Effective implementation of patient-centered communication through primary care initiatives may increase adherence to CRC screening recommendations.