Cancer Causes & Control最新文献

Purpose: Food security, and reliable access to nutritious food, is essential for maintaining health yet remains elusive for many, including U.S. patients with breast cancer (BC). Research specifically focusing on public health consequences of food insecurity in BC survivors is limited. We addressed this gap by exploring the relationship between food security and various sociodemographic, clinical, and cancer-related factors among Black BC survivors in Maryland.

Methods: The parent study engaged Black female BC survivors in Maryland through digital campaigns and referrals, achieving 100 completed surveys. Food security was assessed through an online follow-up survey with the six-item short form from U.S. Department of Agriculture (USDA), leading to a binary classification for analysis from raw scores. Statistical analysis involved descriptive analysis and Chi-square tests to explore the relationship between food security status, various BC risk factors, and follow-up survey response status.

Results: Of the 31 participants who participated in the follow-up survey, 11 (35.5%) were categorized as having low food security. We observed significant associations between food security status and both income (< $40,000; chi-square p = 0.004) and education levels (high school/GED; chi-square p = 0.004). In comparing respondents to non-respondents, significant differences in employment (p = 0.031) and health insurance status (p = 0.006) were observed.

Conclusion: Our descriptive findings demonstrate the importance of further studies evaluating food security screenings in Black BC survivors to enable targeted interventions aiming to improve overall health outcomes and equity in cancer survivorship care.

Purpose: Sexual and gender minority (SGM) populations experience cancer treatment and survival disparities; however, inconsistent sexual orientation and gender identity (SOGI) data collection within clinical settings and the cancer surveillance system precludes population-based research toward health equity for this population. This qualitative study examined how hospital and central registry abstractors receive and interact with SOGI information and the challenges that they face in doing so.

Methods: We conducted semi-structured interviews with 18 abstractors at five Surveillance, Epidemiology, and End Results (SEER) registries, as well as seven abstractors from commission on cancer (CoC)-accredited hospital programs in Iowa. Interviews were transcribed, cleaned, and coded using a combination of a priori and emergent codes. These codes were then used to conduct a descriptive analysis and to identify domains across the interviews.

Results: Interviews revealed that abstractors had difficulty locating SOGI information in the medical record: this information was largely never recorded, and when included, was inconsistently/not uniformly located in the medical record. On occasion, abstractors reported situational recording of SOGI information when relevant to the patient's cancer diagnosis. Abstractors further noticed that, where reported, the source of SOGI information (i.e., patient, physician) is largely unknown.

Conclusion: Efforts are needed to ensure standardized implementation of the collection of SOGI variables within the clinical setting, such that this information can be collected by the central cancer registry system to support population-based equity research addressing LGBTQ + disparities.

Purpose: Disparities in oral cavity and pharyngeal cancer based on race/ethnicity and socioeconomic status have been reported, but the impact of living within areas that are persistently poor at the time of diagnosis and outcome is unknown. This study aimed to investigate whether the incidence, 5-year relative survival, stage at diagnosis, and mortality among patients with oral cavity and pharyngeal cancers varied by persistent poverty.

Methods: Data were drawn from the SEER database (2006-2017) and included individuals diagnosed with oral cavity and pharyngeal cancers. Persistent poverty (at census tract) is defined as areas where ≥ 20% of the population has lived below the poverty level for ~ 30 years. Age-adjusted incidence and 5-year survival rates were calculated. Multivariable logistic regression was used to estimate the association between persistent poverty and advanced stage cancer. Cumulative incidence and multivariable subdistribution hazard models were used to evaluate mortality risk. In addition, results were stratified by cancer primary site, sex, race/ethnicity, and rurality.

Results: Of the 90,631 patients included in the analysis (61.7% < 65 years old, 71.6% males), 8.8% lived in persistent poverty. Compared to non-persistent poverty, patients in persistent poverty had higher incidence and lower 5-year survival rates. Throughout 10 years, the cumulative incidence of cancer death was greater in patients from persistent poverty and were more likely to present with advanced-stage cancer and higher mortality risk. In the stratified analysis by primary site, patients in persistent poverty with oropharyngeal, oral cavity, and nasopharyngeal cancers had an increased risk of mortality compared to the patients in non-persistent poverty.

Conclusion: This study found an association between oral cavity and pharyngeal cancer outcomes among patients in persistent poverty indicating a multidimensional strategy to improve survival.

Purpose: Food insecurity-the lack of unabated access to nutritious foods-is a consequence many cancer survivors face. Food insecurity is associated with adverse health outcomes and lower diet quality in the general public. The goal of this analysis was to extract major and prevailing dietary patterns among food insecure cancer survivors from observed 24-h recall data and evaluate their relationship to survival after a cancer diagnosis.

Methods: We implemented two dietary patterns analysis approaches: penalized logistic regression and principal components analysis. Using nationally representative data from the National Health and Nutrition Examination Survey (NHANES) study, we extracted three dietary patterns. Additionally, we evaluated the HEI-2015 for comparison. Cox proportional hazards models assessed the relationship between the diet quality indices and survival after a cancer diagnosis.

Results: There were 981 deaths from all causes and 343 cancer-related deaths. After multivariable adjustment, we found higher risks of all-cause mortality associated with higher adherence to Pattern #1 (HR 1.25; 95% CI 1.09-1.43) and Pattern #2 (HR 1.15; 95% CI 1.01-1.31) among cancer survivors.

Conclusion: Among all cancer survivors, higher adherence to major and prevailing dietary patterns from the U.S. food insecure cancer survivor population may lead to worse survival outcomes.

Purpose: To examine racial-ethnic variation in adherence to established quality metrics (NCCN guidelines and ASCO quality metrics) for breast cancer, accounting for individual-, facility-, and area-level factors.

Methods: Data from women diagnosed with invasive breast cancer at 66+ years of age from 2000 to 2017 were examined using SEER-Medicare. Associations between race and ethnicity and guideline-concordant diagnostics, locoregional treatment, systemic therapy, documented stage, and oncologist encounters were estimated using multilevel logistic regression models to account for clustering within facilities or counties.

Results: Black and American Indian/Alaska Native (AIAN) women had consistently lower odds of guideline-recommended care than non-Hispanic White (NHW) women (Diagnostic workup: OR_Black 0.83 (0.79-0.88), OR_AIAN 0.66 (0.54-0.81); known stage: OR_Black 0.87 (0.80-0.94), OR_AIAN 0.63 (0.47-0.85); seeing an oncologist: OR_Black 0.75 (0.71-0.79), OR_AIAN 0.60 (0.47-0.72); locoregional treatment: OR_Black 0.80 (0.76-0.84), OR_AIAN 0.84 (0.68-1.02); systemic therapies: OR_Black 0.90 (0.83-0.98), OR_AIAN 0.66 (0.48-0.91)). Commission on Cancer accreditation and facility volume were significantly associated with higher odds of guideline-concordant diagnostics, stage, oncologist visits, and systemic therapy. Black residential segregation was associated with significantly lower odds of guideline-concordant locoregional treatment and systemic therapy. Rurality and area SES were associated with significantly lower odds of guideline-concordant diagnostics and oncologist visits.

Conclusions: This is the first study to examine guideline-concordance across the continuum of breast cancer care from diagnosis to treatment initiation. Disparities were present from the diagnostic phase and persisted throughout the clinical course. Facility and area characteristics may facilitate or pose barriers to guideline-adherent treatment and warrant future investigation as mediators of racial-ethnic disparities in breast cancer care.

Purpose: This study aimed to characterize the prevalence and correlates of cannabis use and the methods and reasons for use among recently diagnosed cancer survivors in a population sample within Washington state.

Methods: We identified individuals diagnosed with invasive cancers in the prior 6 to 17 months from April 2020 to December 2020 using the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. Participants (n = 1,515) completed a questionnaire, including demographics, medical history, cannabis use, and other substance use. Cancer characteristics and date of diagnosis were obtained from SEER registry data. We calculated weighted prevalence estimates and logistic regression models to evaluate correlates of cannabis use.

Results: Overall, 41.3% of survivors reported cannabis use at any time after diagnosis, most commonly via edibles (60.5%) and smoking (43.8%). The most frequently reported reasons for use were sleep (54.5%), mood, stress, anxiety, and depression (44.3%), pain (42.3%), and recreation (42.3%). Cannabis use was associated with younger age, race (White vs. Asian), less education, former or current smoking, consuming more than 2 alcohol-containing drinks per day, having late-stage cancer, and cancer site.

Conclusion: In this first evaluation of cannabis use in a registry-linked, population-based sample of survivors of all cancer types, based in a state where recreational and medical cannabis have been legal for a decade, approximately 2 in 5 survivors reported post-diagnosis use. Given how common cannabis use is among cancer survivors, there is a great need to understand its impact on cancer treatment outcomes and the overall health of cancer survivors.

Background: Childhood cancers are associated with high mortality and morbidity, and some maternal prescription drug use during pregnancy has been implicated in cancer risk. There are few studies on the effects of hypertension, preeclampsia, and the use of antihypertensives in pregnancy on children's cancer risks.

Objective: This population-based cohort study analyzed the relationship between hypertension, preeclampsia, and antihypertensives taken during pregnancy and the risks of childhood cancers in the offspring.

Methods: Data on all children born in Taiwan between 2004 and 2015 (N = 2,294,292) were obtained from the Maternal and Child Health Database. This registry was linked with the National Health Insurance Database and Cancer Registry to get the records of maternal use of diuretics or other antihypertensives in pregnancy and records of children with cancer diagnosed before 13 years. We used Cox proportional hazard modeling to estimate the influence of maternal health conditions and antihypertensive drug exposure on the risks of developing childhood cancers.

Results: Offspring of mothers with hypertension (chronic or gestational) had a higher risk of acute lymphocytic lymphoma [hazard ratio (HR) = 1.87, 95% Confidence Interval (CI) 1.32 - 2.65] and non-Hodgkin's lymphoma (HR = 1.96, 95% CI 1.34 - 2.86). We estimated only a weak increased cancer risk in children whose mothers used diuretics (HR = 1.16, 95% CI 0.77 - 1.74) or used antihypertensives other than diuretics (HR = 1.15, 95% CI 0.86 - 1.54) before birth.

Conclusions: In this cohort study, children whose mothers had chronic and gestational hypertension had an increased risk of developing childhood cancer.

Purpose: Given that risk reduction and healthy lifestyles can prevent 4 in 10 cancers, it is important to understand what survivors believe caused their cancer to inform educational initiatives.

Methods: In this secondary analysis, we analyzed cancer survivor responses on the Causes Subscale of the Revised Illness Perception Questionnaire, which lists 18 possible causes of illness and a free text question. We used descriptive statistics to determine cancer survivors' agreement with the listed causes and conducted separate partial proportional odds models for the top three causes to examine their associations with sociodemographic and clinical characteristics. Content analysis was used to examine free text responses.

Results: Of the 1,001 participants, most identified as Caucasian (n = 764, 77%), female (n = 845, 85%), and were diagnosed with breast cancer (n = 656, 66%). The most commonly believed causes of cancer were: stress or worry (n = 498, 51%), pollution in the environment (n = 471, 48%), and chance or bad luck (n = 412, 42%). The associations of sociodemographic and clinical variables varied across the models. Free text responses indicated that hereditary and genetic causes (n = 223, 22.3%) followed by trauma and stress (n = 218, 21.8%) and bad luck or chance (n = 79, 7.9%) were the most important causes of cancer.

Conclusions: Study results illuminate cancer survivors' beliefs about varying causes of their cancer diagnosis and identify characteristics of survivors who are more likely to believe certain factors caused their cancer. Results can be used to plan cancer education and risk-reduction campaigns and highlight for whom such initiatives would be most suitable.

Purpose: Sex-steroid hormones are associated with postmenopausal breast cancer but potential confounding from other biological pathways is rarely considered. We estimated risk ratios for sex-steroid hormone biomarkers in relation to postmenopausal estrogen receptor (ER)-positive breast cancer, while accounting for biomarkers from insulin/insulin-like growth factor-signaling and inflammatory pathways.

Methods: This analysis included 1208 women from a case-cohort study of postmenopausal breast cancer within the Melbourne Collaborative Cohort Study. Weighted Poisson regression with a robust variance estimator was used to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of postmenopausal ER-positive breast cancer, per doubling plasma concentration of progesterone, estrogens, androgens, and sex-hormone binding globulin (SHBG). Analyses included sociodemographic and lifestyle confounders, and other biomarkers identified as potential confounders.

Results: Increased risks of postmenopausal ER-positive breast cancer were observed per doubling plasma concentration of progesterone (RR: 1.22, 95% CI 1.03 to 1.44), androstenedione (RR 1.20, 95% CI 0.99 to 1.45), dehydroepiandrosterone (RR: 1.15, 95% CI 1.00 to 1.34), total testosterone (RR: 1.11, 95% CI 0.96 to 1.29), free testosterone (RR: 1.12, 95% CI 0.98 to 1.28), estrone (RR 1.21, 95% CI 0.99 to 1.48), total estradiol (RR 1.19, 95% CI 1.02 to 1.39) and free estradiol (RR 1.22, 95% CI 1.05 to 1.41). A possible decreased risk was observed for SHBG (RR 0.83, 95% CI 0.66 to 1.05).

Conclusion: Progesterone, estrogens and androgens likely increase postmenopausal ER-positive breast cancer risk, whereas SHBG may decrease risk. These findings strengthen the causal evidence surrounding the sex-hormone-driven nature of postmenopausal breast cancer.

Purpose: Vitamin D has some anticancer properties that may decrease breast cancer risk and improve prognosis. The aim was to investigate associations between four previously studied VDR SNPs (Taq1, Tru91, Bsm1, and Fok1) and prognosis in different groups of breast cancer patients.

Methods: VDR genotyping of 1,017 breast cancer patients included 2002-2012 in Lund, Sweden, was performed using Oncoarray. Follow-up was until June 30, 2019. Clinical data and patient information were collected from medical records and questionnaires. Cox regression was used for survival analyses.

Results: Genotype frequencies were as follows: Fok1 (AA 15.7%, AG 49.1%, GG 35.1%), Bsm1 (CC 37.2%, CT 46.1%, TT 16.7%), Tru91 (CC 77.8%, CT 20.7%, TT 1.5%), and Taq1 (AA 37.2%, AG 46.2%, GG 16.6%). During follow-up there were 195 breast cancer events. The homozygous variants of Taq1 and Bsm1 were associated with reduced risk of breast cancer events (adjusted HR = 0.59, 95% CI 0.38-0.92 for Taq1 and adjusted HR = 0.61, 95% CI 0.40-0.94 for Bsm1). The G allele of the Fok1 was associated with increased risk of breast cancer events in small tumors (pT1, adjusted HR = 1.83, 95% CI 1.04-3.23) but not in large tumors (pT2/3/4, adjusted HR = 0.80, 95% CI 0.41-1.59) with a borderline interaction (P_interaction = 0.058). No interactions between VDR genotypes and adjuvant treatments regarding breast cancer prognosis were detected.

Conclusion: VDR genotypes were associated with breast cancer prognosis and the association might be modified by tumor size. Further research is needed to confirm the findings and elucidate their potential clinical implications.