Cancer causes & control : CCC最新文献

{"title":"Correction: Comparison of the characteristics of the population eligible for lung cancer screening under 2013 and population newly eligible under 2021 US Preventive Services Task Force recommendations.","authors":"Nicholas Yell, Jan M Eberth, Anthony J Alberg, Peiyin Hung, Mario Schootman, Alexander C McLain, Reginald F Munden","doi":"10.1007/s10552-026-02245-x","DOIUrl":"10.1007/s10552-026-02245-x","url":null,"abstract":"","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13615946/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149067098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: United States comprehensive cancer control plans: a national review.","authors":"Leslie S Given, Karin Hohman, Cynthia Vinson, Nikki Hayes, Beth Slotman, Lisa Stevens, Prajakta Adsul, Kalina Duncan, Margaret Farrell, Aubrey Villalobos","doi":"10.1007/s10552-026-02237-x","DOIUrl":"10.1007/s10552-026-02237-x","url":null,"abstract":"","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13615094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149067030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attributable breast cancer burden in Malaysia: mammographic density, lifestyle, and hereditary factors.","authors":"Boon Hong Ang, Mei-Chee Tai, Farahida Mohd Farid, Imelda Suhanti Ishak, Muhammad Faiz Md Taib, Shivaani Mariapun, Caroline Judy Westerhout, Kartini Rahmat, Cheng Har Yip, Nur Aishah Mohd Taib, Soo-Hwang Teo, Weang-Kee Ho","doi":"10.1007/s10552-026-02218-0","DOIUrl":"https://doi.org/10.1007/s10552-026-02218-0","url":null,"abstract":"<p><strong>Purpose: </strong>Large prospective studies in high-income countries have enabled the estimation of preventable cancer cases, guiding cancer control strategies. With breast cancer incidence rising rapidly in Malaysia, there is an urgent need for locally relevant data to inform effective prevention and control measures. We quantified the population-level contribution of risk factors in Malaysia using population-specific prevalence and literature-based relative risks.</p><p><strong>Methods: </strong>We calculated population attributable risk using: (1) Malaysia-specific prevalence from national surveys and local epidemiological studies and (2) relative risks derived from meta-analyses of Asian prospective cohorts or case-control studies. We estimated attributable proportions using Levin's formula, adjusted for the joint effects of risk factors with a multiplicative model, and generated simulation-based confidence intervals to quantify their impact on overall disease burden.</p><p><strong>Results: </strong>Mammographic density (MD) accounted for 32.8% of breast cancer burden in Malaysian women, followed by modifiable risk factors-elevated body mass index (BMI, 14.7%) and passive smoking (8%). Family history and genetic factors collectively contributed 12.1%. Reproductive factors play a pronounced role before menopause, whereas BMI predominate after menopause. Their impact varies across ethnic groups: MD was most influential among Chinese women, while elevated BMI played a greater role among Malays and Indians.</p><p><strong>Conclusion: </strong>A notable proportion of the breast cancer burden in Malaysia may be attributable to lifestyle and reproductive factors, while genetic susceptibility and MD also contribute importantly to disease burden. These findings support a balanced approach to breast cancer control, combining targeted prevention with risk-based early detection tailored to age and ethnic differences.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149067041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generational immigration status and gastric cancer incidence among Japanese descendants: an analysis of the Multiethnic Cohort (MEC) Study.","authors":"Haejin In, Katherine De la Torre-Cisneros, Alexandra Adams, Chunxia Chen, Brijesh Rana, Lynne Wilkens, Meira Epplein","doi":"10.1007/s10552-026-02250-0","DOIUrl":"10.1007/s10552-026-02250-0","url":null,"abstract":"<p><strong>Background: </strong>Racial and ethnic minorities in the United States experience disproportionately higher rates of gastric cancer (GC) compared to the general population. However, the impact of immigration history on these disparities remains unclear. We evaluated the association between immigration generation and GC risk among Japanese descendants.</p><p><strong>Methods: </strong>We analyzed data from the prospective, population-based Multiethnic Cohort (MEC) Study, which enrolled residents of Hawaii and California between 1993 and 1996. Participants who self-identified as Japanese or non-Hispanic White (NHW) were included. Cox proportional hazard models were used to examine the association between immigration generation of Japanese descendants and the risk of GC overall and by anatomical subtype, adjusting for demographic, dietary, and lifestyle variables.</p><p><strong>Results: </strong>Among 94,232 individuals (median age: 61 years; male 47.4%), 716 primary GC cases were identified. The risk of developing GC was higher among all three generations of Japanese descendants compared to NHWs. First generation had the highest risk (HR: 4.62, 95% CI 3.24-6.59), followed by the second generation (US-born, with both parents Japan-born; HR: 3.66, 95% CI 2.89-4.64; US-born, with one parent Japan-born, HR: 3.39, 95% CI 2.55-4.50), and the third generation (HR: 2.57, 95% CI 1.93-3.42). The association was more pronounced among non-cardia GC, with HRs of 5.89, 4.49, and 3.27 for the first, second, and third generations, respectively.</p><p><strong>Conclusions: </strong>GC risk declined across successive generations of Japanese descendants but remained significantly higher than in NHWs. Recognizing and monitoring these persistently high-risk populations may enable risk-stratified screening and inform mechanistic research into environmental, biological, and transgenerational drivers of GC susceptibility.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13612697/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and trends in recent alcohol consumption by cancer history and cancer type in a nationally representative sample of U.S. adults.","authors":"Kimberly J Johnson, Amy A Eyler, Jenine K Harris","doi":"10.1007/s10552-026-02248-8","DOIUrl":"10.1007/s10552-026-02248-8","url":null,"abstract":"<p><strong>Purpose: </strong>Alcohol consumption increases the risk of several cancer types. Using nationally representative data, we aimed to 1) quantify trends in alcohol consumption by cancer history and 2) estimate prevalence differences in alcohol consumption comparing individuals with vs. without a cancer history overall and by cancer type.</p><p><strong>Methods: </strong>We used Behavioral Risk Factor Surveillance System (BRFSS) cross-sectional data from 2016-2024 for trend and 2022-2024 for prevalence difference analyses. We calculated weighted prevalences of current (past-30-day alcohol consumption), binge, and heavy drinking among individuals with and without a cancer history. Annual percentage-point changes (APPCs) and adjusted prevalence differences were estimated using linear regression.</p><p><strong>Results: </strong>Data from 3,968,799 and 465,870 respondents were included in trend and prevalence difference analyses. Across all years, the current drinking prevalence was lower among individuals with a cancer history than without. Current drinking declined among those without a cancer history (53.9% in 2016 to 51.5% in 2024; APPC = - 0.28%, p<.05) but not among those with a cancer history (45.8% in both 2016 and 2024; APPC = 0.06%, p=.70). The adjusted prevalence of current and binge drinking was lower in those with a cancer history. By cancer type, the adjusted prevalence of current drinking was lower for most sites except for testicular, skin, and melanoma.</p><p><strong>Conclusions: </strong>Alcohol consumption was generally less prevalent among those with vs. without a reported cancer history and modestly declined over time in the latter group. These results inform the understanding of recent patterns in alcohol consumption by cancer history.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13612666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149043278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Informing the cultural adaptation of a lung cancer screening shared decision-making and navigation intervention for Hispanic adults: a qualitative study.","authors":"Evelyn Arana-Chicas, Alex Varela Reyes, Arlette Chavez-Iniguez, Myneka Macenat, Jeanne Ferrante, Camila Capurro, Anita Y Kinney","doi":"10.1007/s10552-026-02257-7","DOIUrl":"10.1007/s10552-026-02257-7","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is the leading cause of cancer-related death among Hispanic men and the second leading cause among Hispanic women in the United States. Despite evidence that lung cancer screening (LCS) reduces lung cancer mortality through early detection, Hispanic adults remain underrepresented in LCS. This study explored perceptions of LCS and shared decision-making (SDM) among Hispanic men and women to guide the cultural adaptation of the TELEhealth Shared decision-making COaching and navigation in Primary carE (TELESCOPE) intervention.</p><p><strong>Methods: </strong>Hispanic adults aged 50-77 years with a current or former smoking history of at least 20 pack-years participated in virtual focus groups. Discussions were guided by the Cultural Appropriateness Framework and explored perceptions of LCS and communication preferences. Transcripts were analyzed using rapid qualitative analysis. Two members of the research team independently reviewed transcripts, summarized findings in structured matrices, and identified themes through consensus.</p><p><strong>Results: </strong>Nineteen Hispanic adults participated in three focus groups (one in English and two in Spanish). Participants had a mean age of 60.3 years, a mean smoking history of 30.6 pack-years, 68.4% primarily spoke Spanish, and 57.8% were from South America. Four themes emerged: (1) limited awareness and understanding of LCS; (2) clear and friendly communication preferences; (3) concerns regarding fear and fatalism; and (4) importance of culturally relevant design.</p><p><strong>Conclusions: </strong>Several important themes that may influence engagement in LCS were identified. These results will inform the cultural adaptation of TELESCOPE and may guide future efforts to improve the acceptability and uptake of LCS among Hispanic adults.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13601142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149032912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging the data latency gap: automated extraction of genomic biomarkers from unstructured clinical documents to support real-world oncology data.","authors":"Qianyun Luo, Rui Zhang, Nikitha Vobugari, Jane Y C Hui, Schelomo Marmor","doi":"10.1007/s10552-026-02252-y","DOIUrl":"10.1007/s10552-026-02252-y","url":null,"abstract":"<p><strong>Purpose: </strong>Real-world oncology data are essential for clinical research and precision cancer care. However, genomic biomarkers are often embedded in scanned, unstructured clinical documents requiring manual abstraction before becoming available in cancer registries, delaying real-world evidence generation. This study evaluated and compared three open-source optical character recognition (OCR) approaches, Tesseract, EasyOCR, and a hybrid implementation, to determine which best enables automated extraction of Oncotype DX recurrence scores and improves the timeliness and quality of real-world oncology data.</p><p><strong>Methods: </strong>We evaluated the feasibility of automated genomic data extraction using 675 Oncotype DX reports from a Midwestern U.S. health system. EasyOCR, Tesseract, and a hybrid OCR approach were used to extract recurrence scores from scanned reports. OCR-derived values were compared with manually abstracted scores and local cancer registry data. Performance was assessed using agreement, precision, recall, F1 score, and processing time. Multivariable logistic regression was performed to identify factors associated with discordance between registry-reported and manually abstracted scores.</p><p><strong>Results: </strong>The hybrid OCR approach demonstrated the highest performance, achieving 97% agreement with manual abstraction, precision of 0.997, recall of 0.972, and an F1 score of 0.984. Registry abstraction demonstrated comparable performance but required greater manual effort. Automated extraction substantially reduced processing time while maintaining high accuracy. Logistic regression showed registry discordance was largely independent of patient and tumor characteristics, with unknown progesterone receptor (PR) status as the only significant predictor.</p><p><strong>Conclusion: </strong>Automated extraction of genomic biomarkers represents a scalable approach to reducing delays in cancer data availability. Earlier capture of genomic information may support cancer registry modernization and improve real-world evidence generation in precision oncology.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13590437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of perceived value of multi-cancer early detection testing: a national PRECEDE-PROCEED framework study.","authors":"Duxiao Hao, Chuan-Jian Zhong, Safa Elkefi","doi":"10.1007/s10552-026-02242-0","DOIUrl":"10.1007/s10552-026-02242-0","url":null,"abstract":"<p><strong>Background: </strong>Multi-cancer early detection (MCED) tests present a paradigm transform in cancer screening by detecting multiple cancer types from one blood sample. While studies have shown high levels of public interest in MCED screening, little is known about factors shaping individuals' perception of the emerging technology. Guided by the PRECEDE-PROCEED framework, we aimed to identify factors associated with the perception of value of MCED testing among American adults.</p><p><strong>Methods: </strong>We conducted a cross-sectional secondary analysis of the Health Information National Trends Survey cycle 7 (HINTS 7) to identify factors associated with the perceived value of MCED screening. After removing respondents with missing outcome data, our final sample size was 6,728. Using the PRECEDE-PROCEED framework, candidate predictors were grouped into predisposing, reinforcing, and enabling factors. We used descriptive, survey-weighted analyses, spearman correlation analyses, survey-weighted multivariable logistic regression, and supervised machine learning analyses (logistic regression and random forest) to explore the associations.</p><p><strong>Results: </strong>Overall, 74.9% of the sample perceived MCED testing as very valuable. Trust-related domains showed the strongest associations with the outcome, including trust in physicians (OR = 1.89), trust in science (OR = 1.80), and trust in the healthcare system (OR = 1.64). Cancer information seeking (OR = 1.59), online health information use (OR = 1.63), smartphone access (OR = 1.54), cancer fatalistic beliefs (OR = 1.52), trust in government (OR = 1.50), knowledge of hepatitis B as a cancer risk factor (OR = 1.48), and family history of cancer (OR = 1.45) were also significantly associated with higher perceived value. Machine learning analyses demonstrated consistent predictor rankings, highlighting trust and health information engagement as the most influential determinants.</p><p><strong>Conclusions: </strong>The value of MCED screening was largely driven by trust, cancer information seeking, and access to healthcare and health information resources. Our study highlights the efficacy of the PRECEDE-PROCEED approach to studying factors associated with complex health outcomes. Future implementation strategies should prioritize equitable communication, strengthen public trust, and improve access to reliable health information to facilitate informed decision-making regarding MCED testing.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13590442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two decades of progress, persistent inequity: national trends in multiple myeloma mortality in the United States, 1999-2024.","authors":"Mohammad Eisa Ali, Federico Ferrari, Ali Shan Hafeez, Anusha Akram, Muhammad Hassaan Javaid, Maleeha Pandit, Hannah Mushtaq","doi":"10.1007/s10552-026-02253-x","DOIUrl":"10.1007/s10552-026-02253-x","url":null,"abstract":"<p><strong>Background: </strong>Despite major advances in multiple myeloma (MM) therapy including proteasome inhibitors, immunomodulatory agents, anti-CD38 monoclonal antibodies, and chimeric antigen receptor T-cell therapies the extent to which these innovations have translated into equitable population-level mortality reductions across U.S. demographic and geographic subgroups remains unclear. We evaluated national MM mortality trends from 1999-2024 and projected trajectories through 2034, stratified by sex, age, race/ethnicity, census region, urbanization, and place of death.</p><p><strong>Methods: </strong>MM-related deaths were identified from the CDC Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database using ICD-10 code C90.0 from 1999-2024. Age-adjusted mortality rates (AAMRs) per 1,000,000 population were calculated using the 2000 U.S. standard population. Temporal trends were assessed using joinpoint regression (Joinpoint Regression Program v6.0.1, National Cancer Institute), generating annual percent changes (APCs) and average annual percent changes (AAPCs). Statistical significance was defined as p<0.05. Autoregressive Integrated Moving Average (ARIMA) models selected by Akaike Information Criterion were used to project national and subgroup-specific AAMRs through 2034 with 95% confidence intervals.</p><p><strong>Results: </strong>From 1999-2024, overall MM-related AAMRs declined from 37.6 to 25.1 per 1,000,000 population (AAPC -1.8%; 95% CI -2.1 to -1.5; p<0.001). Mortality decline accelerated significantly after 2012 (APC -3.2%; p<0.001), coinciding with widespread adoption of newer therapeutic agents. Males consistently demonstrated higher AAMRs than females (32.4 vs 19.8 per 1,000,000 in 2024). Black or African American individuals experienced the highest mortality burden throughout the study period, with 2024 AAMRs more than double those of White individuals (48.0 vs 23.5 per 1,000,000). Adults aged ≥65 years had the highest mortality burden (175 per 1,000,000 in 2024, down from 230 in 1999). The South and nonmetropolitan regions consistently showed higher mortality rates than other regions and metropolitan areas. ARIMA projections estimate continued national decline to approximately 20.0 per 1,000,000 (95% CI 17.5-22.5) by 2034, although racial, geographic, and sociodemographic disparities are projected to persist.</p><p><strong>Conclusions: </strong>MM mortality in the United States has declined substantially over the past 25 years, with accelerated improvement after 2012 consistent with the impact of novel therapies. However, major inequities by race, sex, age, geography, and rurality remain and are projected to persist through 2034. Reducing these disparities will require not only continued therapeutic advances but also equitable access to care, earlier diagnosis, and improved representation of underserved populations in clinical research.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Training imaging professionals on transgender-inclusive breast cancer screening practices.","authors":"Arielle Martinez, Sarah Whitton, Jonah Yokoyama, Jules Madzia, Carson S Hartlage, Elizabeth Kelly, Madeline Schumacher, Delia Sosa, Harsimran Makkad, Catherine Xu, Rahul Patel, Sarah Pickle, Shanna Stryker","doi":"10.1007/s10552-026-02241-1","DOIUrl":"10.1007/s10552-026-02241-1","url":null,"abstract":"<p><strong>Purpose: </strong>Transgender/gender diverse (TGD) people are underscreened for breast cancer. A barrier to screening is anticipated discrimination during screening encounters. This pilot study evaluates a training session for breast imaging professionals (clinical support specialists, technologists, and radiologists) on LGBTQIA+-inclusive breast cancer screening visits.</p><p><strong>Methods: </strong>Training topics included terminology, an overview of the guidelines, principles of trauma-informed care, and strategies for creating a welcoming and inclusive environment. Pre- and post-surveys gathered participants' demographic information, frequency of LGBTQIA+ patient interactions, and previous exposure to LGBTQIA+ training and assessed changes in knowledge, self-reported knowledge, and attitudes toward gender diversity.</p><p><strong>Results: </strong>In pre-surveys, participants reported frequent interactions with LGBTQIA+ patients and little previous training. A 45-min didactic training that included storytelling of relevant experiences resulted in a significant increase in participants' self-reported knowledge of LGBTQIA+ terminology with a large effect size. After training, participants correctly answered more directly assessed knowledge questions (small effect size), with a trend toward attitudes more accepting of gender diversity (medium effect size), but neither reached statistical significance.</p><p><strong>Conclusion: </strong>Continued efforts to implement and evaluate inclusive education for the entire clinical team are essential to enabling more inclusive and welcoming clinical encounters that will reduce the disparities in breast cancer screening for TGD populations.</p>","PeriodicalId":520579,"journal":{"name":"Cancer causes & control : CCC","volume":"37 10","pages":""},"PeriodicalIF":2.1,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13588859/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149003272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}