
2,363 pubs · 239,419 cites · h-index 252
Retrospective cohort study finds that poorly controlled diabetes increases the risk of progression to multiple myeloma in veterans with MGUS, implying a need for better diabetes management.
Maps fibroblast subtypes in primary colorectal cancer, suggesting their role in tumor progression.
Systematic review reports little overall effect of wellness interventions in medical trainees, suggesting future research avenues.
Shows AI-derived risk score predicts breast cancer across diverse populations, suggesting wider clinical use.
Case-control study identifies transcriptomic predictors of second breast cancer events in Black and White women, suggesting improved risk prediction.
Study reconciles short-term and long-term breast cancer risk, suggesting new screening methods.
Investigates the transition from precancer to invasive disease in breast and prostate cancers, indicating meaningful biological insights.
Immune escape during the ductal carcinoma in situ (DCIS)-to-invasive breast cancer (IBC) transition shapes tumor evolution. Through transcriptomic mapping of the immune landscapes of normal breast, DCIS, and IBC from large patient cohorts, we identified T and myeloid cells as the primary distinguishing features between DCIS and IBC. We discovered cycling regulatory T cells (cycTreg) as an orchestrator of immunosuppression in IBC. cycTreg frequency predicts cytotoxic CD8 + , TCR diversity, disease-specific survival in IBC, and recurrence in DCIS. In a rat model of breast cancer, we demonstrated that cycTreg act as precursors to mature Treg and are inducible by tumor-localized type 2 dendritic cells. Profiling of tumors subjected to αOX40 and αPD-L1 therapies revealed an IL-33-mediated fibroblast-cycTreg signaling loop, the disruption of which enhances intratumoral antigen-experienced CD8 + effectors and systemic immunosurveillance. Our study defines cycTreg as critical inducers of immune escape and promising immuno-oncology targets in breast cancer.
Analysis compares pathologist assessment with computational image analysis of stromal markers in breast tissue, implying potential for automated methods.
Supports risk stratification in racially diverse women with benign breast disease; extends mixed evidence but should not yet change practice.

Cancer in younger adults is rising globally, with notable birth-cohort effects. This epidemiological shift underscores the urgent need to accelerate the identification of novel causes and underlying biological networks, with the aim of translating these insights into prevention and interception strategies. In this perspective, we revisit the major milestones in the discovery of cancer causes and outline challenges that hinder progress. To address these challenges, we advocate closer integration of epidemiologic and mechanistic studies and propose three interconnected frameworks that extend current epidemiologic approaches: a tissue ecosystem-anchored framework for cancer cause discovery, a biological state-based framework for precision cancer risk assessment, and a dynamic framework to characterize cancer preventability. This roadmap aims to stimulate conceptual, resource, and methodological advances to accelerate cancer etiology research and prevention in the era of rising early-onset cancers.
Cohort study quantifies obesity and risk factors in Veterans with MGUS, suggesting lifestyle modifications may reduce multiple myeloma incidence.
Systematic review reveals that personalized risk communication enhances screening knowledge and behavior outcomes.
Umbrella review analyzes treatment efficacy in newly diagnosed multiple myeloma, suggesting scrutiny of existing systematic reviews.
Higher body fat percentage, but not BMI or other common obesity markers, is associated with increased odds of prevalent MGUS in the U.S. general population.
Cohort study assesses breast cancer risk after benign biopsy in racially diverse women, suggesting variations by subtype and race.
Simulation modeling quantifies life years lost in multiple myeloma across race and gender, highlighting health disparities.
Analysis reveals that multiple myeloma survival statistics overestimate outcomes, emphasizing the need for separate reporting of conditions.
Background Adult survivors of childhood cancer are at higher risk of premature aging compared to their cancer‐free peers due to the cancer and its treatments. However, little is known about the effect of adherence to healthy dietary patterns on aging in childhood cancer survivors. Methods A cross‐sectional analysis was conducted of 3322 participants (mean age, 30.5 years; standard deviation [SD], 8.4) from the St. Jude Lifetime Cohort Study. Diet was measured by a food frequency questionnaire and used to assess the Healthy Eating Index (HEI)‐2015 and alternate Mediterranean diet (aMED) scores. Premature aging was assessed by the deficit accumulation index and categorized into low, medium, and high risk. Multinomial logistic regressions adjusting for confounders were used to estimate odds ratios (ORs) with 95% confidence intervlas (CIs). Results The mean (SD) HEI‐2015 score was 60.0 (10.9) of 100, and the aMED score was 4.2 (2.0) of 9. Twenty percent and 8% of survivors were in the medium and high deficit accumulation index categories, respectively. Higher adherence to HEI‐2015 (OR high vs. low = 0.80; 95% CI, 0.69–0.93 per 10‐point increment) and aMED (OR high vs. low = 0.91; 95% CI, 0.84–0.98 per 1‐point increment) were associated with a lower risk of premature aging. The associations remained consistent among survivors who received radiation or chemotherapy. Conclusion Adherence to a healthy diet may contribute to reducing the premature aging risk in adult survivors of childhood cancer. Interventions that support healthy eating in this population could potentially have benefits for long‐term health outcomes.
The mammogram risk score (MRS), an AI-driven mammographic texture feature, strongly predicts breast cancer risk independently of breast density, though underlying mechanisms remain unclear. Using data from the Nurses' Health Study II (292 cases, 561 controls), we validated MRS's association with breast cancer and evaluated its relationships with established breast cancer risk factors through observational analyses, polygenic score analyses, and Mendelian randomization. MRS was significantly associated with breast cancer risk before (OR=1.92 per SD increase; 95% CI:1.57 to 2.35; 10-year AUC=0.69) and after adjustment for predicted BI-RADS density (OR=1.85; 95% CI:1.49 to 2.30). Early life body size and adult body mass index (BMI) were inversely associated with MRS, while benign breast disease history and predicted BI-RADS density showed positive associations; after adjusting for density, associations between MRS and the other three risk factors were attenuated. Polygenic score analyses and Mendelian randomization consistently demonstrated significant positive associations between genetic predictors of breast density measures (dense area, percent density, predicted BI-RADS density) and MRS. After adjusting for predicted BI-RADS density and BMI, genetic predictors of higher waist-to-hip ratio were significantly associated with increased MRS. Our findings reveal robust associations between breast density measures and MRS and suggest a potential impact of central obesity on MRS. Future larger-scale validation studies are needed.