Cancer Epidemiology Biomarkers & Prevention最新文献

Background: Several studies have found lower prostate cancer diagnosis rates among men with human immunodeficiency virus (HIV; MWH) than men without HIV but reasons for this finding remain unclear.

Methods: We used claims data from a South African private medical insurance scheme (July 2017- July 2020) to assess prostate cancer diagnosis rates among men aged ≥ 18 years with and without HIV. Using flexible parametric survival models, we estimated hazard ratios (HR) for the association between HIV and incident prostate cancer diagnoses. We accounted for potential confounding by age, population group, and sexually transmitted infections (confounder-adjusted model) and additionally for potential mediation by prostatitis diagnoses, prostate-specific antigen testing, and prostate biopsies (fully adjusted model).

Results: We included 288,194 men, of whom 20,074 (7%) were living with HIV. Prostate cancer was diagnosed in 1,614 men without HIV (median age at diagnosis: 67 years) and in 82 MWH (median age at diagnosis: 60 years). In the unadjusted analysis, prostate cancer diagnosis rates were 35% lower among MWH than men without HIV [HR, 0.65; 95% confidence interval (CI), 0.52-0.82]. However, this association was no longer evident in the confounder-adjusted model (HR, 1.03; 95% CI, 0.82-1.30) or in the fully adjusted model (HR, 1.14; 95% CI, 0.91-1.44).

Conclusions: When accounting for potential confounders and mediators, our analysis found no evidence of lower prostate cancer diagnosis rates among MWH than men without HIV in South Africa.

Impact: Our results do not support the hypothesis that HIV decreases the risk of prostate cancer.

Background: Non-Hispanic American Indian and Alaska Native (NH-AI/AN) people exhibit a disproportionate incidence of kidney cancer. Nationally aggregated data do not allow for a comprehensive description of regional disparities in kidney cancer incidence among NH-AI/AN communities. This study examined kidney cancer incidence rates and trends among NH-AI/AN compared with non-Hispanic White (NHW) populations by geographic region.

Methods: Using the United States Cancer Statistics American Indian and Alaska Native (AI/AN) Incidence Analytic Database, age-adjusted incidence rates (per 100,000) of kidney cancers for NH-AI/AN and NHW people for the years 2011 to 2020 combined using surveillance, epidemiology, and end Results (SEER)∗stat software. Analyses were restricted to non-Hispanic individuals living in purchased/referred care delivery area (PRCDA) counties. Average annual percent changes (AAPCs) and trends (1999-2019) were estimated using Joinpoint regression analyses.

Results: Rates of kidney cancer incidence were higher among NH-AI/AN compared with NHW persons in the United States overall and in five of six regions. Kidney cancer incidence rates also varied by region, sex, age, and stage of diagnosis. Between 1999 and 2019, trends in kidney cancer rates significantly increased among NH-AI/AN males (AAPC = 2.7%) and females (AAPC = 2.4%). The largest increases were observed for NH-AI/AN males and females aged less than 50 years and those diagnosed with localized-stage disease.

Conclusions: Study findings highlight growing disparities in kidney cancer incidence rates between NH-AI/AN and NHW populations.

Impact: Differences in geographic region, sex, and stage highlight the opportunities to decrease the prevalence of kidney cancer risk factors and improve access to preventive care.

The Netherlands' cervical cancer screening program transitioned to primary human papillomavirus (HPV) screening in 2017. After the introduction of HPV-based screening, the country saw increases in colposcopy referral rates and detections of low-grade lesions. In July 2022, genotyping was introduced, and those with borderline or mild dyskaryotic (BMD) cytologic abnormalities were only referred to colposcopy if positive for HPV type 16 or 18, and repeat screening otherwise. In this article, various strategies using extended genotyping (HPV16/18/31/33/45/52/58) as a triage test after an abnormal screen were explored using data from HPV-positive participants with normal or BMD cytology in the Population-Based Screening Study Amsterdam (POBASCAM) trial. The authors assessed positive and negative predictive values and colposcopy referral rates for each strategy using extended genotyping to triage women to either direct referral to colposcopy or repeat screening. Direct referral did not meet positive and negative predictive value thresholds for efficiency for any strategies. However, the authors note that direct referral may nonetheless be useful among those with BMD due to minimal increases in colposcopy referrals and concerns of loss to follow-up at repeat screening. These findings demonstrate the potential utility of extended genotyping as a triage test in primary HPV screening programs. The results should be considered alongside the fact that referral to repeat screening may result in loss of engagement of women who need treatment to prevent invasive cancer. See related article by Kroon et al., p. 1037.

Background: Biomarker-directed therapy requires biomarker testing. We assessed the patterns of epidermal growth factor receptor (EGFR) and programmed death ligand 1 (PDL1) testing in a non-small cell lung cancer (NSCLC) resection cohort. We hypothesized that testing would increase but be unevenly distributed across patient-, provider- and institution-level demographics.

Methods: We examined the population-based Mid-South Quality of Surgical Resection (MS-QSR) cohort of NSCLC resections. We evaluated the proportions receiving EGFR and PDL1 testing before and after approval of biomarker-directed adjuvant therapy (2018-2020 vs. 2021-2022). We used association tests and logistic regression to compare factors.

Results: From 2018 to 2022, 1,687 patients had NSCLC resection across 12 MS-QSR institutions: 1,045 (62%) from 2018 to 2020 and 642 (38%) from 2021 to 2022. From 2018 to 2020, 11% had EGFR testing versus 38% in 2021 to 2022 (56% in those meeting ADAURA trial inclusion criteria, P < 0.0001). From 2018 to 2020, 8% had PDL1 testing versus 20% in 2021 to 2022 (P < 0.0001). EGFR testing did not significantly differ by age (P = 0.07), sex (P = 0.99), race (P = 0.33), or smoking history (P = 0.28); PDL1 testing did not differ significantly by age (P = 0.47), sex (P = 0.41), race (P = 0.51), or health insurance (P = 0.07). Testing was significantly less likely in nonteaching and non-Commission on Cancer-accredited hospitals and after resection by cardiothoracic or general surgeons (vs. general thoracic surgeons; all P < 0.05).

Conclusions: EGFR and PDL1 testing increased after approval of biomarker-directed adjuvant therapies. However, testing rates were still suboptimal and differed by institutional- and provider-level factors.

Impact: The association of institutional, pathologist, and surgeon characteristics with differences in testing demonstrate the need for more standardization in testing processes.

Mammographic textures show promise as breast cancer risk predictors, distinct from mammographic density. Yet, there is a lack of comprehensive evidence to determine the relative strengths as risk predictor of textures and density and the reliability of texture-based measures. We searched the PubMed database for research published up to November 2023, which assessed breast cancer risk associations [odds ratios (OR)] with texture-based measures and percent mammographic density (PMD), and their discrimination [area under the receiver operating characteristics curve (AUC)], using same datasets. Of 11 publications, for textures, six found stronger associations (P < 0.05) with 11% to 508% increases on the log scale by study, and four found weaker associations (P < 0.05) with 14% to 100% decreases, compared with PMD. Risk associations remained significant when fitting textures and PMD together. Eleven of 17 publications found greater AUCs for textures than PMD (P < 0.05); increases were 0.04 to 0.25 by study. Discrimination from PMD and these textures jointly was significantly higher than from PMD alone (P < 0.05). Therefore, different textures could capture distinct breast cancer risk information, partially independent of mammographic density, suggesting their joint role in breast cancer risk prediction. Some textures could outperform mammographic density for predicting breast cancer risk. However, obtaining reliable texture-based measures necessitates addressing various issues. Collaboration of researchers from diverse fields could be beneficial for advancing this complex field.

Background: Little is known about the role of residential segregation in the treatment and outcomes of small cell lung cancer (SCLC), a highly recalcitrant disease, among non-Hispanic White (NHW) and non-Hispanic Black (NHB) patients.

Methods: We used the Surveillance, Epidemiology, and End Results database to identify men and women diagnosed with SCLC from January 2007 to December 2015 (n = 38,393). An Index of Concentration at the Extremes was computed to measure county-level racialized economic segregation and categorized into Quartile 1 (most privileged: highest concentration of high-income NHW residents) through Quartile 4 (least privileged: highest concentration of low-income NHB residents). Multilevel logistic regression was used to estimate the ORs for extensive-stage diagnosis and nonadherence to guideline-recommended treatment. HRs for lung cancer-specific and overall mortalities were computed using multilevel Cox regression.

Results: Patients in the least privileged counties had higher risks of nonadherence to guideline-recommended treatment [OR = 1.23; 95% confidence interval (CI): 1.08-1.40; Ptrend < 0.01], lung cancer-specific mortality (HR = 1.08; 95% CI: 1.04-1.12; Ptrend < 0.01), and all-cause mortality (HR = 1.13; 95% CI: 1.09-1.17; Ptrend < 0.0001) compared with patients in the most privileged counties. Adjustment for treatment did not significantly reduce the association with mortality. These associations were comparable between NHB and NHW patients. Segregation was not significantly associated with extensive-stage diagnosis.

Conclusions: The results suggest that living in the neighborhoods with higher proportions of low-income households and Black residents had adverse impacts on stage-appropriate treatment of and survival from SCLC.

Impact: This highlights the need for improving the access to quality lung cancer care in the less privileged neighborhoods.

Background: The impact of adverse childhood experiences (ACE, e.g., abuse, neglect, and/or household dysfunction experienced before the age of 18) and resilience on risk for cardiovascular disease (CVD) has not previously been investigated in adult survivors of childhood cancer.

Methods: We conducted a nested case-control study among long-term, adult-aged survivors of childhood cancer from the Childhood Cancer Survivor Study. Self-report questionnaires ascertained ACEs and resilience, and scores were compared between cases with serious/life-threatening CVD and controls without CVD matched on demographic and cardiotoxic treatment factors.

Results: Among 95 cases and 261 controls, the mean ACE score was 1.4 for both groups; 53.4% of survivors endorsed ≥1 ACE. No association was observed between ACEs or resilience and CVD in adjusted models.

Conclusions: ACEs and resilience do not appear to contribute to CVD risk for adult survivors of childhood cancer with cardiotoxic treatment exposures.

Impact: Although not associated with CVD in this population, ACEs are associated with serious health issues in other populations. Therefore, future studies could investigate the effects of ACEs on other health outcomes affecting childhood cancer survivors.

Background: Despite consistent improvements in cancer prevention and care, rural and urban disparities in cancer incidence persist in the United States. Our objective was to further examine rural-urban differences in cancer incidence and trends.

Methods: We used the North American Association of Central Cancer Registries dataset to investigate rural-urban differences in 5-year age-adjusted cancer incidence (2015-2019) and trends (2000-2019), also examining differences by region, sex, race/ethnicity, and tumor site. Age-adjusted rates were calculated using SEER∗Stat 8.4.1, and trend analysis was done using Joinpoint, reporting annual percent changes (APC).

Results: We observed higher all cancer combined 5-year incidence rates in rural areas (457.6 per 100,000) compared with urban areas (447.9), with the largest rural-urban difference in the South (464.4 vs. 449.3). Rural populations also exhibited higher rates of tobacco-associated, human papillomavirus-associated, and colorectal cancers, including early-onset cancers. Tobacco-associated cancer incidence trends widened between rural and urban from 2000 to 2019, with significant, but varying, decreases in urban areas throughout the study period, whereas significant rural decreases only occurred between 2016 and 2019 (APC = -0.96). Human papillomavirus-associated cancer rates increased in both populations until recently with urban rates plateauing whereas rural rates continued to increase (e.g., APC = 1.56, 2002-2019).

Conclusions: Rural populations had higher overall cancer incidence rates and higher rates of cancers with preventive opportunities compared with urban populations. Improvements in these rates were typically slower in rural populations.

Impact: Our findings underscore the complex nature of rural-urban disparities, emphasizing the need for targeted interventions and policies to reduce disparities and achieve equitable health outcomes.

Background: Cervical cancer presents a considerable challenge in South Asia, notably in Nepal, where screening remains limited. Past research in Nepal lacked national representation and a thorough exploration of factors influencing cervical cancer screening, such as educational and socioeconomic disparities. This study aims to measure these gaps and identify associated factors in testing for early detection of cervical cancer among Nepalese women.

Methods: Data from the 2019 Nepal Noncommunicable Disease Risk Factors survey (World Health Organization STEPwise approach to noncommunicable risk factor surveillance), involving 2,332 women aged 30 to 69 years, were used. Respondents were asked if they had undergone cervical cancer testing through visual inspection with acetic acid, Pap smear, or human papillomavirus test ever or in the past 5 years. The slope index of inequality (SII) and relative concentration index were used to measure socioeconomic and education-based disparities in cervical cancer test uptake.

Results: Only 7.1% [95% confidence interval (CI): 5.1-9.9] Nepalese women had ever undergone cervical cancer testing, whereas 5.1% (95% CI: 3.4-7.5) tested within the last 5 years. The ever uptake of cervical cancer testing was 5.1 percentage points higher (SII: 5.1, 95% CI: -0.1 to 10.2) among women from the richest compared with the poorest households. Education-based disparities were particularly pronounced, with a 13.9 percentage point difference between highly educated urban residents and their uneducated counterparts (SII: 13.9, 95% CI: 5.8-21.9).

Conclusions: Less than one in ten women in Nepal had a cervical cancer testing, primarily favoring higher educated and wealthier individuals.

Impact: Targeted early detection and cervical cancer screening interventions are necessary to address these disparities and improve access and uptake.

Background: Kidney transplant recipients (KTRs) have elevated risks of cervical pre-cancers and cancers, and guidelines recommend more frequent cervical cancer screening exams. However, little is known about current trends in cervical cancer screening in this unique population. We described patterns in the uptake of cervical cancer screening exams among female KTRs and identified factors associated with screening utilization.

Methods: This retrospective cohort study included female KTRs between 20-65 years old, with Texas Medicare fee-for-service coverage, who received a transplant between January 1, 2001, and December 31, 2017. We determined the cumulative incidence of receiving cervical cancer screening post-transplant using ICD-9, ICD-10, and CPT codes and assessed factors associated with screening utilization, using the Fine and Gray model to account for competing events. Subdistribution hazards models were used to assess factors associated with screening uptake.

Results: Among 2,653 KTRs meeting the inclusion and exclusion criteria, the 1-, 2-, and 3-year cumulative incidences of initiating a cervical cancer screening exam post-transplant were 31.7% (95% confidence interval (CI), 30.0-33.6%), 48.0% (95% CI, 46.2-49.9%), and 58.5% (95% CI, 56.7-60.3%), respectively. KTRs who were 55-64 years old (vs. <45 years old) and those with a higher Charlson Comorbidity Score post-transplant were less likely to receive cervical cancer screening post-transplant.

Conclusions: Cervical cancer screening uptake is low in the years immediately following a kidney transplant.

Impact: Our findings highlight a need for interventions to improve cervical cancer screening utilization among KTRs.