Cancer Causes & Control最新文献

Purpose: Cancer and its treatments may accelerate the aging process. However, accelerated aging among cancer survivors is not well understood. This study examines accelerated aging among adults with and without a cancer history in a nationally representative sample and identifies health-related social needs and behavioral factors associated with accelerated aging.

Methods: We conducted a cross-sectional study of 11,432 adults aged 20-84 years from the 1999 to 2010 National Health and Nutrition Examination Survey, including 728 cancer survivors. Accelerated aging was measured by validated Phenotypic Age Acceleration (PhenoAgeAccel) based on clinical chemistry biomarkers. We described accelerated aging by cancer history, demographics, health-related social needs, and health behaviors, and utilized weighted linear regression to assess their associations with accelerated aging.

Results: Majority of the sample were < 65 years old (n = 8,800, weighted percentage = 84.8%), female (n = 5,856, 50.8%), and non-Hispanic White (n = 5,709, 71.7%). Cancer survivors experienced an average of 0.14 (95% CI 0.03, 0.24) years of accelerated aging measured by PhenoAgeAccel. Individuals who were male, unmarried, less educated, with lower-income, or with 3 or more medical conditions also had accelerated aging regardless of cancer history. Moreover, health-related social needs in food insecurity, unemployment, health insurance and coverage continuity as well as obesity and smoking were associated with accelerated aging in both cancer survivors and individuals without a cancer history.

Conclusions:  Cancer survivors experience accelerated aging in the US. Addressing health-related social needs and promoting healthy behaviors in care delivery may advance healthy aging.

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.

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.

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.

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: To describe the area-level rate of breast cancers, the percentage of early-stage diagnoses (stage I-IIa), and associations between area-level measures of poverty, racial/ethnic composition, primary care shortage, and urban/rural/frontier status for the UC Davis Comprehensive Cancer Center (UCDCCC) catchment area.

Methods: Using data from the SEER Cancer Registry of Greater California (2014-2018) and the California Department of Health Care Access and Information Medical Service Study Area, we conducted an ecological study in the UCDCCC catchment area to identify geographies that need screening interventions and their demographic characteristics.

Results: The higher the percentage of the population identifying as Hispanic/Latino/Latinx, and the higher the percentage of the population below the 100% poverty level, the lower the odds of being diagnosed at an early-stage (OR = 0.98, 95% CI 0.96-0.99 and OR = 0.96, 95% CI 0.93-0.99, respectively). The association with poverty level was attenuated in the multivariable model when the Hispanic/Latino/Latinx population percentage was added. Several California counties had high poverty levels and differences in cancer stage distribution between racial/ethnic category groups. For all individuals combined, 65% was the lowest proportion of early-stage diagnoses for any geography. However, when stratified by racial/ethnic category, 11 geographies were below 65% for Hispanic/Latino/Latinx individuals, six for non-Hispanic Asian and Pacific Islander individuals, and seven for non-Hispanic African American/Black individuals, in contrast to one for non-Hispanic White individuals.

Conclusions: Areas with lower percentages of breast cancers diagnosed at an early-stage were characterized by high levels of poverty. Variation in the proportion of early-stage diagnosis was also observed by race/ethnicity where the proportion of Hispanic/Latino/Latinx individuals was associated with fewer early-stage diagnoses.

Impact: Results will inform the implementation of the UCDCCC mobile cancer prevention and early detection program, providing specific locations and populations to prioritize for tailored outreach, education, and screening.

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.

Purpose: It is important to understand racial inequities in multiple myeloma treatment and survival, particularly in the Midwest where clear differences exist in cancer incidence and mortality. Since age and geographic location can greatly impact treatment and prognosis, matching patients on these characteristics can help identify reasons for outcome differences.

Methods: Retrospective data from the Iowa Cancer Registry's Surveillance, Epidemiology, and End Results database were analyzed for adult patients diagnosed with first primary MM between 1/1/2010-12/31/2019. Matching procedures matched up to 4 White patients with each Black patient on age and city of residence. Demographic characteristics were compared, and Cox proportional hazards models were built to compare survival.

Results: There were 1,845 patients in our overall sample, of which 85 were Black and 1,760 were White. There were 321 patients (74 Black, 247 White) that were matched. Black patients in the overall sample had decreased hazard for MM-specific death compared to White (HR = 0.50, 95% CI (0.43, 0.78)) when controlling for covariates. The decrease in MM-specific death in black patients was not statistically significant compared to matched controls (HR = 0.72, 95% CI (0.41, 1.27)). Treatment differences were not observed for either sample.

Conclusion: We found that, despite large racial differences in MM incidence and mortality in Iowa, there are no survival differences when matched on age and city of residence. These data fail to detect large barriers to myeloma treatment in Iowa, and are useful for formulating potential screening and prevention strategies. Future research should also assess results in different geographic areas, investigate survival among older White patients in rural areas, and investigate other potential reasons for mortality differences between Black and White MM patients such as specific treatments received.

Purpose: A significant proportion of many populations remain uninsured. The aim of the study was to assess differences in breast cancer outcomes before and after the implementation of an innovative approach to the multidisciplinary treatment of uninsured breast cancer patients.

Methods: Retrospective review was performed of patients seen at a safety net hospital from January 2000 to December 2020. Beginning July 2006, an innovative approach was implemented to lower patient costs and facilitate care of uninsured patients.

Results: The study included 1,797 patients, 661 patients before the changes (BCS), and 1136 patients after implementation of the new cost saving approach (ACS). The mean age was 53 years. The majority were uninsured (56%) or insured by Medicaid (31%). Only 18% underwent screening mammography. The ACS group had a higher rate of breast conservation (75% vs 47%, p < 0.001). A higher percentage of the ACS group received adjuvant therapy: Chemotherapy (91% vs 70%, p < 0.001), Radiation therapy (91% vs 70%, p < 0.001), and initiated endocrine therapy (87% vs 67%, p < 0.001). After follow-up of 8 years, these changes resulted in lower ipsilateral breast tumor recurrence (2% vs 16%, p < 0.001) and chest wall recurrence (5% versus 8%) and improvement in overall survival (90% vs 81%, p < 0.001).

Conclusion: Peer-reviewed literature is replete of studies documenting disparities in breast cancer treatment. The current study describes a successful cost-limiting method which takes advantage of existing financial assistance programs to improve care in uninsured patients.