Cancer Causes & Control最新文献

Purpose: Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.

Methods: This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data. Neighborhoods were defined as redlined if score ≥ 2.5. Prevalence quintiles of established adverse and protective breast cancer factors relating to behavior, environment, and socioeconomic status (SES) were used to classify neighborhoods as high-risk or not. Factor analysis grouped factors into domains. Overall and domain-specific scores were calculated for each neighborhood according to historical redlining status. Percent difference in score by historical redlining was used to assess differences in average scores, with Wilcoxon-Mann-Whitney test used to estimate significance. Kappa statistic was used to estimate concordance between historical redlining status and high-risk status. Heatmaps of scores were created to compare spatial clustering of high-risk factors to historical redlining.

Results: We identified two domains: (1) behavior + SES; (2) healthcare. Across the US, redlined neighborhoods had significantly more breast cancer factors than non-redlined (redlined neighborhoods = 5.41 average high-risk factors vs. non-redlined = 3.55 average high-risk factors; p < 0.0001). Domain-specific results were similar (percent difference for redlined vs. non-redlined: 39.1% higher for behavior + SES scale; 23.1% higher for healthcare scale). High-scoring neighborhoods tended to spatially overlap with D-grades, with heterogeneity by scale and region.

Conclusion: Breast cancer risk factors clustered together more in historically redlined neighborhoods compared to non-redlined neighborhoods. Our findings suggest there are regional differences for which breast cancer factors cluster by historical redlining, therefore interventions aimed at redlining-based cancer disparities need to be tailored to the community.

Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.

Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment. The number of quality-adjusted life years gained through each screening method is assessed using previously published quality of life measures. Incremental cost-effectiveness ratios for screening with the combination of mammographic and ABUS imaging, and for ABUS imaging alone are calculated as compared to standard mammographic imaging.

Results: Combined screening with both mammographic and ABUS imaging results in an incremental cost-effectiveness ratio of $7,071 ($6,332-$7,809) when compared to traditional mammographic imaging (p < 0.05). ABUS screening alone results in an incremental cost-effectiveness ratio of $3,559 ($- 965-$8,082) when compared to mammographic imaging (p < 0.05). ABUS screening alone is more likely to be cost-effective for a willingness-to-pay of less than $7,100.

Conclusions: The addition of ABUS to mammographic imaging is a cost-effective screening strategy in women with increased breast density or who are at a high risk of developing breast cancer. ABUS imaging alone is also a cost-effective strategy in this population, particularly in resource-poor areas.

Breast cancer is the leading cause of cancer-related death and the most common cancer among women worldwide. It is crucial to identify potentially modifiable risk factors to intervene and prevent breast cancer effectively. Sleep factors have emerged as a potentially novel risk factor for female breast cancer. Current epidemiologic studies suggest a significant impact of sleep factors on breast cancer. Exposure to abnormal sleep duration, poor sleep quality, sleep disorders, sleep medication use, or night shift work can increase the risk of breast cancer by decreasing melatonin secretion, disrupting circadian rhythm, compromising immune function, or altering hormone levels. However, there are still controversies regarding the epidemiologic association, and the underlying mechanisms have yet to be fully elucidated. This paper summarizes the epidemiologic evidence on the associations between sleep factors, including sleep duration, sleep quality, sleep disorders, sleep medication use, sleep habits, and night shift work, and the development of breast cancer. The potential mechanisms underlying these associations were also reviewed.

Purpose: The association between statin use and cancer survival has been investigated in previous studies with conflicting findings. This study aimed to assess the association between statin use following cancer diagnosis and survival in six common cancers using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database.

Methods: Individuals aged ≥ 66 years diagnosed with prostate cancer, colorectal cancer, lung cancer, bladder cancer, pancreatic cancer, or non-Hodgkin lymphoma (NHL) from 2008 through 2017 were identified. Statin use was defined as two or more statin prescription fills after cancer diagnosis. Time-dependent Cox proportional hazard regression models were used to estimate the association between statin use and cancer-specific mortality for each cancer.

Results: This study included 34,618 patients with prostate cancer (median follow-up 4.0 years), 20,579 with colorectal cancer (2.9 years), 20,133 with lung cancer (1.7 years), 6,163 with bladder cancer (2.1 years), 4,538 with pancreatic cancer (0.8 years), and 3,270 with NHL (2.9 years). Statin use post-diagnosis was associated with a reduced risk of cancer-specific mortality in lung cancer (hazard ratio [HR], 0.81; 95% confidence interval [CI], 0.74-0.88) and pancreatic cancer (HR, 0.72; 95% CI, 0.59-0.87). The association was not statistically significant for prostate cancer, colorectal cancer, bladder cancer, or NHL. A dose-response relationship by duration of statin use was observed in lung cancer and pancreatic cancer.

Conclusion: Statin use after cancer diagnosis appears associated with improved survival in lung cancer and pancreatic cancer. Clinical trials of statin therapy in lung and pancreatic cancer patients are warranted to confirm these findings.

Introduction: The prevalence of smokeless tobacco consumption remains high despite policies on reduction interventions. This study aims to quantify the associations between smokeless tobacco use with cancer incidence and mortality globally.

Methods: We conducted a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and PROSPERO protocol (ID: CRD42023390468). A comprehensive literature search was performed using PubMed, Web of Science, and Scopus databases, covering the period from January 1, 2000, to February 28, 2023. We included peer-reviewed observational studies, specifically case-control and cohort studies, where smokeless tobacco use was the primary exposure and cancer incidence, or mortality were the main outcomes. Three independent reviewers screened titles, abstracts, and full texts, and extracted data from the included studies. Risk of bias was assessed by the same three reviewers. Any disagreements were resolved through discussion with a fourth reviewer. We performed random-effects meta-analyses and assessed heterogeneity and publication bias to ensure the robustness of our findings.

Results: Of the 3,611 articles identified, 80 were included in the final analysis. Increased risks were observed for cancer mortality [Risk Ratio (RR) 1.38, 95% Confidence Interval (CI) 1.22-1.56] and incidence [RR 1.17, 95% CI 1.08-1.27]. The specific cancer sites with increased mortality risk included head and neck cancers, as well as stomach cancer. For cancer incidence, associations were observed with head and neck, oral, esophageal, stomach, and pancreatic cancers. Significant heterogeneity (I² statistic 65% to 90%) was observed among most cancer outcomes.

Conclusion: Our study found significant associations between smokeless tobacco use and cancer incidence and mortality. Targeted policy interventions, such as stricter regulations on smokeless tobacco use, are recommended to reduce its consumption and mitigate the associated cancer risks.

The Surveillance Epidemiology and End Results (SEER) registry incorporates laterality, histology, latency, and topography to identify second primary breast cancers. Contralateral tumors are classified as second primaries, but ipsilaterals are subject to additional inclusion criteria that increase specificity but may induce biases. It is important to understand how classification methods affect accuracy of second tumor classification. We collected estrogen, progesterone, and human epidermal growth factor receptor 2 (ER, PR, Her2) status for 11,838 contralateral and 5,371 ipsilateral metachronous secondary tumors and estimated concordance odds ratios (cORs) to evaluate receptor dependence (the tendency for tumors to share receptor status) by laterality. If only second primaries are included, receptor dependence should be similar for contralateral and ipsilateral tumors. Thus, we compared ratios of cORs as a measure of inaccuracy. Cases who met ipsilateral second primary criteria were younger and had less aggressive primary tumor characteristics compared to contralateral tumors. Time to secondary tumors was (by definition) longer for ipsilaterals than contralaterals, especially among ER + primaries. Overall and in multiple strata, ipsilateral tumors showed higher receptor dependence than contralateral tumors (ratios of cORs > 1), suggesting some SEER-included ipsilaterals are recurrences. SEER multiple primary criteria increase specificity, but remain inaccurate and may lack sensitivity. The dearth of early occurring ipsilateral tumors (by definition), coupled with high observed receptor dependence among ipsilaterals, suggests important inaccuracies. Datasets that allow comparison of pathologist- and SEER-classification to true multi-marker genomic dependence are needed to understand inaccuracies induced by SEER definitions.

Purpose: Since 1990, the Centers for Disease Control and Prevention's National Breast and Cervical Cancer Early Detection Program (NBCCEDP) has offered free cervical cancer screening to low-income, uninsured patients, increasing single time point screening and early detection rates. Little is known about NBCCEDP's longitudinal effectiveness. The objective of this study was to assess utilization of Kansas's NBCCEDP, early detection works (EDW) for one-time versus serial screening and compare rates of cervical dysplasia between groups.

Methods: A retrospective cohort study was conducted among patients who received cervical cancer screening through EDW from 2001 to 2021. Demographic factors, Papanicolaou (Pap) test, and human papillomavirus (HPV) results were compared between patients with one screening versus multiple. Descriptive statistics were performed.

Results: From 2014 to 2021, 3.71-7.06% of eligible patients completed screening through EDW annually. 17.4% of 58,582 eligible patients were up-to-date with screening in 2020. Rural patients and those under age forty were less likely to have EDW screening. Of 43,916 ever-screened patients, 14,638 (33.3%) received multiple screenings. 77% of patients did not have HPV testing; rates were lower in serially screened patients. Cervical dysplasia rates differed minimally between groups.

Conclusion: Despite screening 24,017 patients over 7 years, EDW maintains up-to-date screening for under one-fourth of eligible Kansans. Young and rural patients less frequently access EDW. HPV testing is underutilized, which limits the negative predictive value of screening. Serial screening is largely used by low-risk patients currently. Identification and prioritization of serial screening in high risk could increase program impact.

Artificial intelligence is rapidly changing our world at an exponential rate and its transformative power has extensively reached important sectors like healthcare. In the fight against cancer, AI proved to be a novel and powerful tool, offering new hope for prevention and early detection. In this review, we will comprehensively explore the medical applications of AI, including early cancer detection through pathological and imaging analysis, risk stratification, patient triage, and the development of personalized prevention approaches. However, despite the successful impact AI has contributed to, we will also discuss the myriad of challenges that we have faced so far toward optimal AI implementation. There are problems when it comes to the best way in which we can use AI systemically. Having the correct data that can be understood easily must remain one of the most significant concerns in all its uses including sharing information. Another challenge that exists is how to interpret AI models because they are too complicated for people to follow through examples used in their developments which may affect trust, especially among medical professionals. Other considerations like data privacy, algorithm bias, and equitable access to AI tools have also arisen. Finally, we will evaluate possible future directions for this promising field that highlight AI's capacity to transform preventative cancer care.

Purpose: Clear patient communication with the physician is an integral aspect of cancer treatment and successful health outcomes. Previous research has shown improved cancer screening in cases of patient navigator assistance to limited English proficient patients, but no research has analyzed the relationship between language isolation and cancer incidence rates in the United States.

Methods: Using state-level data from the United States Census Bureau and the National Cancer Institute, we analyzed the correlations between language isolation and age-adjusted incidence rates across 19 different invasive cancers.

Results: A complex relationship between language isolation and cancer incidence rates was found. States such as California, New York, Texas, and New Jersey show high language isolate prevalence and elevated cancer incidence rates. Cancer subtype incidence rates varied between states, indicating the multifactorial importance of lifestyle, genetics, and environment in cancer. California had the highest language isolation ranking of 8.5% and elevated rates of ovarian (10.4/100,000) and stomach (9.1/100,000) cancers. New York, with the second-highest language isolation ranking of 7.6%, manifests a pronounced prevalence of ovarian (11.3/100,000) and stomach (10.9/100,000) cancers. Overall, positive correlations were observed between language isolation and ovarian/stomach cancers, while negative correlations were found with lung, kidney, melanoma, and colorectal cancers.

Conclusion: This study emphasizes the need to address language barriers and other social determinants of health in cancer prevention/control. Targeted interventions, such as culturally appropriate education, increased access to linguistically and culturally appropriate cancer screening, and language lessons, are crucial in improving health outcomes in linguistically diverse communities.

Background: Large geographical variations in colorectal cancer (CRC) survival rates have been reported across regions. Poorer survival rates were mainly found in socioeconomically deprived areas, highly dense areas, and areas lacking healthcare accessibility. The objective of this study was to identify, compare, and contrast the spatial patterns of 5-year CRC-specific survival rates and identify high-priority areas by districts in Malaysia.

Methods: This retrospective cohort study utilized secondary data from the National Cancer Registry. CRC patients (ICD10 C18-21) diagnosed between 2013 and 2018 were selected. Patient addresses were geocoded into districts and states via geospatial data from the National Geospatial Centre, whereas district population density data were gathered from the Population Census of Malaysia. Kaplan‒Meier survival analysis and log-rank test were conducted to determine and compare the 5-year CRC-specific survival rates, and the spatial distribution of CRC survival by district was determined via ArcGIS software.

Results: A total of 18,513 CRC patients were registered from 143 districts, with 10,819 deaths occurring during follow-up. The national 5-year CRC-specific survival rate was 42%, with median survival time of 36 months (95% CI: 34.46, 37.54). The eastern region (Kelantan, Terengganu, and Pahang) had the lowest survival (38.0%). Among the 143 districts, eighty-one (56.6%) reported survival rates below the national average while thirty-six (25.2%) were identified as high-priority districts.

Conclusion: The differences in CRC survival rates were evident according to geographical location. Area-based targeted interventions to improve CRC detection, management, and access to healthcare are imperative to address cancer survival disparities and help effectively allocate resources.