Cancer Control最新文献

{"title":"Developing a Prognostic Model for Intrahepatic Cholangiocarcinoma Patients With Elevated Preoperative Carbohydrate Antigen 19-9 Levels: Volume-Adjusted CA19-9 (VACA) as a Novel Biomarker.","authors":"Bo Liu, Sheng Wang, Tao Wen, Haizhou Qiu, Lei Xiang, Zuotian Huang, Hong Wu, Dewei Li, Hui Li","doi":"10.1177/10732748251317692","DOIUrl":"10.1177/10732748251317692","url":null,"abstract":"<p><strong>Purpose: </strong>The predictive sensitivity of carbohydrate antigen 19-9 (CA19-9) in assessing the prognosis of intrahepatic cholangiocarcinoma (ICC) remains inadequate. Integrating CA19-9 with tumor volume offers a potentially viable strategy for improving prognostic accuracy. This study aimed to develop a prognostic model utilizing volume-adjusted CA19-9 (VACA) for ICC patients.</p><p><strong>Patients and methods: </strong>A retrospective analysis was conducted on data from 436 ICC patients. These patients from two centers were divided into the training (n = 291, Center 1) and validation (n = 145, Center 2) cohorts. Using the training cohort, univariate and multivariable Cox regression analyses were employed to identify clinicopathological characteristics significantly associated with overall survival (OS) and recurrence-free survival (RFS), which enabled the construction of prognostic nomograms both with and without VACA. The nomograms' discriminatory and calibration abilities were assessed using receiver operating characteristic (ROC) curves, decision curve analysis (DCA) curves, and calibration curves, applying both training and validation cohorts.</p><p><strong>Results: </strong>VACA emerged as an independent variable that significantly correlated with prognosis. The nomogram incorporating VACA demonstrated superior accuracy in predicting OS and RFS rates compared to the model without VACA. In the validation cohort, the nomogram with VACA yielded area under the ROC curve (AUC) values of 0.695 (95% CI = 0.597∼0.793) and 0.666 (95% CI = 0.559∼0.773) (1- year), 0.662 (95% CI = 0.518∼0.806) and 0.651 (95% CI = 0.446∼0.857) (3- years), and 0.701 (95% CI = 0.486∼0.916) and 0.703 (95% CI = 0.428∼0.978) (5- years) for OS and RFS, respectively, along with improved calibration and DCA curves.</p><p><strong>Conclusions: </strong>VACA, formed by integrating tumor volume with CA19-9, exhibits promising prognostic capabilities. The nomogram incorporating data from two centers and utilizing VACA demonstrates robust prognostic performance and holds clinical utility.</p><p><strong>Condensed abstract: </strong>Combining CA19-9 with tumor volume presents a potentially viable strategy for improving prognostic accuracy. The nomogram incorporating VACA demonstrates robust prognostic performance and holds clinical utility.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251317692"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11826845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pretreatment MRI Parameters and Neutrophil-to-Lymphocyte Ratio Could Predict the Long-Term Prognosis of Locally Advanced Rectal Cancer Patients With Pathological Complete Response after Neoadjuvant Chemoradiotherapy.","authors":"Yujun Cui, Shuai Li, Jian Tie, Maxiaowei Song, Yangzi Zhang, Hongzhi Wang, Jianhao Geng, Zhiyan Liu, Huajing Teng, Xin Sui, Xianggao Zhu, Yong Cai, Yongheng Li, Weihu Wang","doi":"10.1177/10732748251334454","DOIUrl":"https://doi.org/10.1177/10732748251334454","url":null,"abstract":"<p><p>BackgroundLocal advanced rectal cancer (LARC) patients who achieved pathological complete response (pCR) after neoadjuvant chemoradiotherapy (NCRT) generally have a favorable prognosis. This retrospective study aimed to evaluate the prognostic value of magnetic resonance imaging (MRI) parameters and neutrophil-to-lymphocyte ratio (NLR) in LARC patients with pCR.MethodsBetween 2015 and 2019, 180 LARC patients who achieved pCR after NCRT and surgery were included. MRI parameters and NLR were evaluated as potential predictors for 5-year overall survival (OS) and disease-free survival (DFS) using the Kaplan-Meier and COX regression analysis.ResultsWith a median follow-up time of 68.3 months, the 5-year OS and DFS rates were 94.2% and 91.4%, respectively. Thirteen patients (7.2%) died, 2 (1.1%) experienced local recurrence, and 15 (8.3%) experienced distant metastases. Pretreatment MRI parameters and NLR were correlated with 5-year OS and DFS in pCR patients in the univariate analysis. The multivariate analysis identified baseline EMVI and NLR as independent predictors for 5-year OS and DFS (all <i>P</i> < .05). Patients in the low-risk group (EMVI-negative and/or NLR ≤ 2.8, n = 159, 88.3%) had a more favorable 5-year DFS compared to those in the high-risk group (EMVI-positive and NLR > 2.8, n = 21, 11.7%) (95.6% vs 59.4%, <i>P</i> < .001), with similar findings for 5-year OS (97.4% vs 70.6%, <i>P</i> < .001).ConclusionsThis study showed that MRI parameters and NLR were associated with long-term prognosis in patients with pCR. These findings could aid in stratifying pCR patients and guide subsequent treatment and follow-up strategies.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251334454"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of a Prognostic Nomogram for Patients with Metastatic Pancreatic Cancer Treated with Nanoliposomal Irinotecan as Second-Line Therapy.","authors":"Yu-Shin Hung, Tai-Jan Chiu, Yen-Yang Chen, Wen-Chi Chou","doi":"10.1177/10732748251333040","DOIUrl":"https://doi.org/10.1177/10732748251333040","url":null,"abstract":"<p><p>IntroductionNanoliposomal irinotecan (nal-IRI) plus 5-fluorouracil and leucovorin (5-FU/LV) is an established second-line therapy for metastatic pancreatic ductal adenocarcinoma (PDAC). We previously developed a prognostic model (CGMH nomogram) to predict overall survival (OS) in patients receiving second-line chemotherapy before the nal-IRI + 5-FU/LV era. Herein, we aimed to validate the CGMH nomogram in a real-world cohort treated with nal-IRI plus 5-FU/LV, the current standard second-line treatment for metastatic PDAC.MethodsA retrospective cohort of 148 patients with metastatic PDAC treated with second-line nal-IRI + 5-FU/LV was analyzed. Prognostic scores were assigned using the CGMH nomogram, with patients stratified into tertiles as good, intermediate, and poor prognostic groups. Predictive performance was assessed using the concordance index (c-index) and calibration plots.ResultsOur cohort had a median OS of 6.1 months. Patients in the good, intermediate, and poor prognostic groups had median OS of 8.7 (95% confidence interval [CI], 6.7-10.7), 5.7 (95% CI, 5.3-6.3), and 4.0 (95% CI, 2.8-5.2) months, respectively. Compared with the good group, intermediate and poor groups had hazard ratios of 1.99 (95% CI, 1.29-3.07, <i>P</i> = .002) and 3.18 (95% CI, 1.87-5.40, <i>P</i> < .001), respectively. The nomogram demonstrated strong predictive ability, with c-indices of 0.73 and 0.70 for 6- and 12-month OS predictions, respectively. Calibration plots displayed excellent agreement between predicted and observed survival.ConclusionThe CGMH nomogram reliably predicted survival outcomes in nal-IRI + 5-FU/LV-treated patients with metastatic PDAC, and validation supported its use in clinical decision-making and personalized treatment planning.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251333040"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12033549/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding and Addressing Cancer Disparities Among American Indians in North Carolina: The Southeastern American Indian Cancer Health Equity Partnership (SAICEP).","authors":"Ronny A Bell, Tomi Akinyemiju, Nadine Barrett, Rachel Denlinger-Apte, Stephanie B Wheeler, Ryan Dial, Ana Salas, Charlene Hunt, Yadurshini Raveendran, Erica Fennimore","doi":"10.1177/10732748251336410","DOIUrl":"https://doi.org/10.1177/10732748251336410","url":null,"abstract":"<p><p>IntroductionAmerican Indians and Alaska Natives (AIANs) experience significant cancer incidence and mortality disparities, with elevated cancer risk factor exposure, lower cancer screening rates, and poorer quality of cancer care relative to non-Hispanic Whites. To address these issues, the Southeastern American Indian Cancer health Equity Partnership (SAICEP) was formed to understand and address cancer disparities among southeastern American Indians (AIs).MethodsSAICEP formed in 2021 through the Community Outreach and Engagement offices of the NCI-designated Comprehensive Cancer Centers in North Carolina (NC). The catchment areas for these cancer centers include the tribal homelands for eight state and federally recognized Tribes, representing the largest AI populations in the eastern US. SAICEP seeks to: (1) increase awareness of cancer health needs of AI populations; (2) expand access to cancer health education and build community capacity to address cancer health needs; (3) develop collaborative research relationships to better understand and address the AI cancer burden.ResultsFor Aim 1, SAICEP created a virtual speakers' series, featuring prominent AI cancer researchers and clinicians, hosted by the UNC Lineberger Cancer Network three times a year. To date, 10 webinars have been convened, with a total of 538 participants. For Aim 2, SAICEP participates in tribal events throughout the year, reaching over 3500 AIs and disseminating printed cancer educational materials and giveaways. For Aim 3, SAICEP secured funding to conduct analyses to assess cancer incidence, mortality, and care quality for NC AIs, to collect information to understand community cancer needs and culturally adapt and disseminate information on cancer screening and risk reduction.ConclusionThrough its targeted research and engagement, SAICEP has successfully moved towards achieving its goal of understanding and addressing cancer disparities among AIs in NC. Future directions will involve the development of a community advisory board and collaborations with Tribes in other states.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251336410"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143992270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial and Rural Disparities in Financial Toxicity and Healthcare Transitions Among Adolescent and Young Adult Cancer Survivors in Kentucky: A Cross-Sectional Study.","authors":"Jean S Edward, Brent J Shelton, Lauren Corum, Haafsah Fariduddin, Katie Brown, John A D'Orazio, Kimberly D Northrip","doi":"10.1177/10732748251339251","DOIUrl":"https://doi.org/10.1177/10732748251339251","url":null,"abstract":"<p><p><b>Introduction:</b> Adolescent and young adult cancer survivors, especially racial/ethnic minorities and rural residents are particularly vulnerable to financial toxicity due to limited healthcare access, socioeconomic disparities, and cultural/language barriers. These social determinants of health compound financial hardship and contribute to poor healthcare transitions from pediatric to adult care, leading to worse outcomes and higher mortality rates.<b>Methods:</b> Our cross-sectional survey study examined racial (Black vs White) and geographic (rural vs urban) disparities in financial toxicity and healthcare transition outcomes among 260 adolescent and young adult cancer survivors through the Kentucky Cancer Registry. Survey data were collected on financial toxicity, healthcare transitions, and health-related quality of life. Financial toxicity was measured under three domains: psychological response, material conditions (e.g., loss of income, debt), and coping behaviors.<b>Results:</b> Results revealed moderate levels of financial toxicity and healthcare transition readiness across the sample, with strong associations between financial toxicity and anxiety, depression, and long-term effects of cancer treatment. Black participants showed higher levels of anxiety and coping behaviors compared to Whites, while urban participants experienced lower financial toxicity (as measured by material conditions) than their rural counterparts. Racial disparities were observed in global health and anxiety, even after adjusting for financial toxicity, but the relationship between financial toxicity and healthcare transitions outcomes did not vary by race or geography.<b>Conclusion:</b> This study highlights the importance of developing tailored strategies to mitigate the impact of cancer-related financial toxicity on the health outcomes and quality of life of underserved adolescent and young adult cancer survivors.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251339251"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12059424/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144034252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Malignant Pleural Mesothelioma CT Imaging: How to Measure It Correctly?","authors":"Carmine Picone, Annamaria Porto, Roberta Fusco, Vincenza Granata, Maria Chiara Brunese, Agnese Montanino, Giovanna Esposito, Raffaele Costanzo, Anna Manzo, Vincenzo Sforza, Claudia Sandomenico, Giuliano Palumbo, Edoardo Mercadante, Alessandro Ottaiano, Gianfranco Vallone, Ferdinando Caranci, Raffaella Mormile, Alessandro Morabito, Antonella Petrillo","doi":"10.1177/10732748241301901","DOIUrl":"10.1177/10732748241301901","url":null,"abstract":"<p><p><b>Background:</b> Malignant pleural mesothelioma is the most common primary tumor of the pleura. The unique growth pattern of malignant pleural mesothelioma makes it difficult to apply the Response Evaluation Criteria for Solid Tumors (RECIST). Hence the need to use modified RECIST (mRECIST) criteria, as they better fit the unique growth pattern of malignant pleural mesothelioma. The thickness of the tumor perpendicular to the chest wall or mediastinum is measured at 2 points at 3 separate levels at least 1 cm apart on chest CT scans, and summed to obtain a one-dimensional pleural measurement. The same criterion has also been used to assess response to treatment. RECIST 1.1 represents a further update, taking into account new concepts such as revised minimum dimensions for lymph nodes and an approach to lesions that become non-measurable. Based on experience and published literature, the hypothesis of merging the 2 above-mentioned criteria in mRECIST 1.1 for mesothelioma and the use of iRECIST for the application to immune-based therapies (iRECIST) was considered. <b>Purpose:</b> Support the importance of studying pleural mesothelioma in a reliable and reproducible way, through a scrupulous methodology, applying the mRECIST1.1 and iRECIST criteria. <b>Conclusions:</b> Adoption of a standardized study metodology can make the study of PM reproducible and correct.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748241301901"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge and Awareness of Medical and Dental Students About Oral Cancer Risk Factors: A Systematic Review and Meta-Analysis.","authors":"Lilibeth-Stephania Escoto-Vasquez, Mario Alberto Alarcón-Sánchez, Ruth Rodríguez-Montaño, Julieta Sarai Becerra-Ruiz, Sarah Monserrat Lomelí-Martínez, Artak Heboyan","doi":"10.1177/10732748251316603","DOIUrl":"10.1177/10732748251316603","url":null,"abstract":"<p><strong>Objective: </strong>This systematic review and meta-analysis aims to assess the knowledge and awareness of oral cancer risk factors among medical and dental students.</p><p><strong>Methods: </strong>This study followed the PRISMA guidelines and was registered in INPLASY (ID: 2024110035). Four databases were consulted (PubMed, Science Direct, Scopus, and Web of Science) from February 20th, 2005, to May 10th, 2024. The study selection and data extraction process was performed independently by 2 investigators. The risk of bias was assessed using the JBI tool, which can be found at: https://jbi.global/critical-appraisal-tools. A third investigator was consulted in case of disagreement. Meta-analysis results were systematically illustrated in a forest plot and expressed as odds ratio with 95% confidence interval. The I² statistic assessed heterogeneity between studies. Funnel plot and Egger regression analysis were used for bias analysis. A <i>P</i> value <.05 was considered significant. All statistical analyses were performed using the STATA V.15 software.</p><p><strong>Results: </strong>After the selection process, 41 studies met the eligibility criteria, comprising a total of 14,425 participants, 22% medical students and 78% dental students, primarily female (53%). The meta-analysis showed that 98% of students demonstrated relatively good knowledge about oral cancer risk factors. The most recognized risk factor was smoking (99%), followed by advanced age (68%), UV-rays exposure (64%), and alcoholism (57%). Knowledge of several other factors was comparatively lower, with less than 50% of students recognizing them. The studies indicated significant heterogeneity (I² = 99.8%) and publication bias (<i>P</i> < .001).</p><p><strong>Conclusions: </strong>These findings suggest that while medical and dental students have a strong understanding of key risk factors for oral cancer, there are gaps in knowledge regarding other important factors. Addressing these gaps through enhanced education and training is essential to improving early detection and prevention efforts.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251316603"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758530/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cytotoxicity of Nanocarrier-Based Drug Delivery in Oral Cancer Therapy: A Systematic Review and Meta-Analysis.","authors":"Mohammad A Saghiri, Ravinder S Saini, Artak Heboyan","doi":"10.1177/10732748241310936","DOIUrl":"10.1177/10732748241310936","url":null,"abstract":"<p><strong>Background: </strong>Oral cancer remains 1 of the biggest health care challenges; it has a poor response to treatment, and treatment often results in severe side effects. Nano-targeted drug carrier-assisted drug delivery systems can improve the benefits of targeted drug delivery and treatment efficacy. A systematic review and meta-analysis was conducted to investigate the effect of targeted nano carrier drug delivery systems on the management of oral cancer.</p><p><strong>Methods: </strong>A comprehensive literature search was performed using PubMed, ScienceDirect, the Cochrane Library, Google Scholar, and Scopus using PRISMA guidelines, to identify relevant in vitro and in vivo (human) studies. Studies evaluating the impact of nanocarrier-based delivery systems on oral cancer cells or human models were selected. Pooled effect sizes were calculated using random-effects models via RevMan 5.4, and heterogeneity among studies was assessed.</p><p><strong>Results: </strong>After full-text assessment, 15 research articles were included [14 in vitro studies and 1 randomized controlled trial (RCT)]. In the meta-analysis, the pooled data (IC₅₀) for the impact of the nanocarrier delivery system vs control on oral cancer was -7.67 (95% CI: -41.77, 26.43), with a high heterogeneity (<i>I</i>^<i>2</i> = 92%, <i>P</i> < 0.00001). Moreover, in vitro studies had a medium risk of bias, while the RCT had some concerns in the randomization domain.</p><p><strong>Conclusion: </strong>Nanocarrier-based drug delivery has been found to be a superior approach compared to drug delivery in free form, increasing the efficacy and safety of oral cancer treatment.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748241310936"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11744631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining Employment Status, Paid Sick Leave, and Access to Care in Relation to Colorectal Cancer Screening Among U.S. Workers: A Structural Equation Modeling Approach.","authors":"Jim P Stimpson, Sungchul Park, Anna M Morenz, Tami Gurley, Fernando A Wilson","doi":"10.1177/10732748251347731","DOIUrl":"10.1177/10732748251347731","url":null,"abstract":"<p><p>IntroductionThis cross-sectional study examined the relationship between paid sick leave and colorectal cancer (CRC) endoscopy screening among employed adults, including the examination of potential pathways.MethodsWe analyzed data from 15,352 employed adults aged 45-75 from the 2021 and 2023 National Health Interview Survey. A generalized structural equation model (GSEM) assessed the direct and indirect pathways between employment status (full-time vs part-time), paid sick leave, health insurance, usual source of care, and CRC endoscopy screening. Survey weights were applied to ensure nationally representative estimates.ResultsFull-time employment was positively associated with paid sick leave (OR = 6.57, 95% CI: 5.85, 7.38) and health insurance (OR = 1.30, 95% CI: 1.07, 1.59). Paid sick leave increased the likelihood of having a usual source of care (OR = 1.57, 95% CI: 1.31, 1.87) and was directly associated with CRC screening (OR = 1.15, 95% CI: 1.03, 1.28). Health insurance increased the likelihood of having a usual source of care (OR = 5.32, 95% CI: 4.30, 6.58) and CRC screening (OR = 3.22, 95% CI: 2.58, 4.02). Usual source of care was also associated with CRC screening (OR = 3.53, 95% CI: 2.89, 4.32).ConclusionsPaid sick leave was associated with CRC endoscopy utilization both directly and indirectly through improved healthcare access. Workplace policies that expand paid sick leave, alongside efforts to strengthen insurance coverage and primary care access, may reduce barriers to CRC endoscopy screening and improve population health.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251347731"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138219/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative AI - Assisted Adaptive Cancer Therapy.","authors":"Youcef Derbal","doi":"10.1177/10732748251349919","DOIUrl":"10.1177/10732748251349919","url":null,"abstract":"<p><p>Adaptive combination therapy is deemed the most intuitive strategy to thwart therapeutic resistance through dynamic treatment tuning that accounts for cancer evolutionary dynamics. However, higher accuracy and reliability of treatment response predictions would be needed, in addition to the need for clinically feasible models of adaptive combination therapy that consider newly approved therapeutics and the growing multimodal data being available about cancer. Grounded in nonlinear system control theory, this review offers a perspective on exploiting GenAI learning and inferencing capabilities to predict treatment response and recommend treatments in the context of adaptive cancer therapy. Results from nonlinear system identification, control theory and deep learning are integrated within an adaptive cancer control framework to leverage the continuously expanding data about cancer and its treatment towards GenAI-enhanced adaptive therapy. The resulting models and their analysis contribute to a much-needed conceptual clarity about the research and translational pathways that would be needed to realize GenAI-assisted cancer treatments. In particular, they underscore that access to clinical data, deep learning opacity, and clinical validation present critical challenges that require adequate attention to pave the way towards acceptance and integration of GenAI in real-world oncology workflows.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251349919"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177262/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}