Citations

CD25 is a subunit of the interleukin-2 (IL-2) receptor on T cells and natural killer (NK) cells. Acute leukemias with oncogenic tyrosine kinases often include CD25 + leukemia subpopulations, which portend poor clinical outcomes for patients; however, acute leukemia cells do not respond to IL-2. Here, we identified CD25 and its phosphorylation by protein kinase Cδ (PKCδ) as central elements of a feedback loop that stabilized fluctuations in oncogenic tyrosine kinase signaling in acute lymphoblastic and myeloid leukemia. Genetic ablation of CD25 in murine and patient-derived xenograft (PDX) models of acute leukemias reduced clonal fitness, colony formation, and leukemia-initiation capacity in serial transplant recipients. Oncogenic tyrosine kinase signaling in leukemia cells stimulated NF-κB–mediated CD25 expression, whereas PKCδ-mediated phosphorylation of CD25 suppressed oncogenic tyrosine kinase signaling through inhibitory phosphatases, such as PTPN6. Interactome analyses and mass spectrometry–based global phosphoproteomic analyses showed that CD25 deletion abolished the phosphatase activity of PTPN6, resulting in enhanced activation of tyrosine kinases and NF-κB. Four injections of a CD25 antibody-drug conjugate induced complete remission in mice transplanted with PDX refractory leukemia. These findings highlight the dependency of tyrosine kinase–driven leukemias on robust feedback control and the role of PKCδ and CD25 in assembling its components.

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Genetic/Familial High-Risk Assessment: Breast, Ovarian, Pancreatic, and Prostate are intended to serve as a resource for health care providers to identify individuals who may benefit from cancer risk assessment and genetic counseling and testing; help guide decisions related to genetic testing; and facilitate a multidisciplinary approach in the comprehensive care of individuals at increased risk for hereditary breast, ovarian, pancreatic, and prostate cancer. The current guidelines focus primarily on assessment of pathogenic and likely pathogenic (P/LP) variants associated with increased risk of breast, ovarian, pancreatic, and prostate cancer and recommended approaches to genetic counseling/testing and care strategies in individuals with these P/LP variants associated with increased risk of these cancers. These NCCN Guidelines Insights summarize the panel’s most recent recommendations regarding screening for prostate cancer and pancreas cancer, as well as testing criteria for nonepithelial ovarian cancer.

Abstract Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-referential cycle drives a rapid erosion of pathological variability and diagnostic reliability of medical data at population scale. By analysing more than 800,000 synthetic data points across clinical text generation, vision–language reporting, and medical image synthesis, we find that models progressively converge toward generic phenotypes regardless of the model architectures. Specifically, rare but critical findings, including pneumothorax and effusions, vanish from the synthetic content generated by AI models, while demographic representations skew heavily toward middle-aged male phenotypes. Crucially, this degradation is masked by false diagnostic confidence. Models continue to issue reassuring reports while failing to detect life-threatening pathology, with false reassurance rates tripling to 40%. Blinded physician evaluation confirms that this decoupling of confidence and accuracy renders AI-generated documentation clinically useless after just two generations. We systematically evaluate three mitigation strategies that can be easily integrated into existing clinical workflows, finding that while synthetic volume scaling fails to prevent collapse, mixing real data with quality-aware filtering effectively preserves diversity. Ultimately, our results suggest that without policy-mandated human oversight, the deployment of generative AI threatens to degrade the very healthcare data ecosystems it relies upon.

BACKGROUND: Stoma-free survival represents a key quality-of-life outcome after surgery for locally advanced rectal cancer. Despite advances in neoadjuvant and surgical management, up to 30% of patients ultimately require a permanent fecal diversion. OBJECTIVE: To evaluate stoma-free survival and identify factors associated with permanent stoma formation in patients with locally advanced rectal cancer undergoing coloanal anastomosis. DESIGN: Retrospective cohort study. SETTINGS: Single tertiary referral center (2017–2021). PATIENTS: A total of 126 patients with clinical stage II and III rectal adenocarcinoma who received neoadjuvant therapy and underwent curative-intent resection with coloanal anastomosis were included. INTERVENTION: Curative-intent resection with coloanal anastomosis. MAIN OUTCOME MEASURES: The primary outcome was stoma-free survival. Secondary analyses examined factors associated with permanent fecal diversion. RESULTS: The medical records of 126 patients were analyzed, comprising 62.5% men, with a mean age of 54 ± 10 years and a median BMI of 27.7 (interquartile range 24.5–31.4). At a median follow-up of 53.0 months, the 5-year stoma-free survival rate was 88.9%. Univariate Cox regression analysis showed that BMI ≥35 (HR 3.80; 95% CI, 1.04–13.91, p = 0.044) and handsewn coloanal anastomosis with mucosectomy compared to stapled coloanal anastomosis without mucosectomy (HR 5.58; 95% CI, 1.71–18.14, p = 0.004), as well as local recurrence (HR 6.51; 95% CI, 1.44–29.46), were associated with worse stoma-free survival. The 30-day major morbidity rate was 7.9% after the index surgery. Sixteen patients required permanent fecal diversion due to bowel dysfunction (n = 11), disease recurrence (n = 4), or bowel obstruction (n = 1). LIMITATIONS: Retrospective, single-institution design with limited generalizability. CONCLUSIONS: Coloanal anastomosis in the era of total neoadjuvant therapy resulted in favorable 5-year stoma-free survival. BMI ≥35, handsewn coloanal anastomosis with mucosectomy, and local recurrence were associated with worse stoma-free survival. See Video Abstract . SUPERVIVENCIA SIN ESTOMA TRAS UNA RESECCIÓN ANTERIOR BAJA CON ANASTOMOSIS COLOANAL PARA EL CÁNCER RECTAL EN ESTADIO II-III ANTECEDENTES: La supervivencia sin estoma representa un resultado clave para la calidad de vida tras la cirugía de cáncer rectal localmente avanzado. A pesar de los avances en el tratamiento neoadyuvante y quirúrgico, hasta un 30 % de los pacientes requieren finalmente una derivación fecal permanente. OBJETIVO: Evaluar la supervivencia sin estoma e identificar los factores asociados con la formación de un estoma permanente en pacientes con cáncer rectal localmente avanzado sometidos a anastomosis coloanal. DISEÑO: Estudio de cohorte retrospectivo. ENTORNO: Centro terciario de referencia único, 2017-2021. PACIENTES: Se incluyó a un total de 126 pacientes con adenocarcinoma rectal en estadio clínico II-III que recibieron terapia neoadyuvante y se sometieron a una resección con intención curativa con anastomosis coloanal. INTERVENCIÓN: Resección con intención curativa con anastomosis coloanal. PRINCIPALES MEDIDAS DE RESULTADO: El resultado principal fue la supervivencia sin estoma. Los análisis secundarios examinaron los factores asociados con la derivación fecal permanente. RESULTADOS: Se analizaron 126 pacientes, de los cuales el 62,5 % eran hombres, con una edad media de 54 ± 10 años y un índice de masa corporal medio de 27,7 kg/m 2 (rango intercuartílico: 24,5-31,4 kg/m 2 ). Con una mediana de seguimiento de 53,0 meses, la tasa de supervivencia sin estoma a 5 años fue del 88,9 %. El análisis de regresión de Cox univariante mostró que el índice de masa corporal ≥ 35 kg/m 2 (razón de riesgo = 3,80, intervalo de confianza del 95 %: 1,04-13,91, p = 0,044) y la anastomosis coloanal cosida a mano con mucosectomía, en comparación con la anastomosis coloanal grapada sin mucosectomía (razón de riesgo = 5,58, intervalo de confianza del 95 %: 1,71-18,14, p = 0,004), así como la recurrencia local (razón de riesgo = 6,51, intervalo de confianza del 95 %: 1,44-29,46) se asociaron con una peor supervivencia sin estoma. La tasa de morbilidad grave a los 30 días fue del 7,9 % tras la cirugía índice. Dieciséis pacientes requirieron una derivación fecal permanente debido a disfunción intestinal (n = 11), recurrencia de la enfermedad (n = 4) u obstrucción intestinal (n = 1). LIMITACIONES: Diseño retrospectivo, de una sola institución, con una generalización limitada. CONCLUSIONES: La anastomosis coloanal en la era de la terapia neoadyuvante total dio lugar a una supervivencia sin estoma favorable a los 5 años. El índice de masa corporal ≥ 35 kg/m2, la anastomosis coloanal cosida a mano con mucosectomía y la recurrencia local se asociaron con una peor supervivencia sin estoma. (AI-generated translation )

Abstract Background Cardiovascular disease (CVD) is the leading cause of death globally for both men and women, yet women remain historically underrepresented in cardiovascular clinical trials (CV trials), despite facing a disproportionately high burden of morbidity and mortality in many forms of CVD. Purpose We aim to determine the representation of women across a broad range of CV trials. Methods The participation of women in CV trials registered on ClinicalTrials.gov from 2017 to 2023 was systematically determined through the extraction of publicly available information. Data was extracted to identify the country of study, disease type, trial size, clinical intervention and age of the participants. We calculated the proportion of women and the ratio of number of females to male participants (F:M ratio) for each trial. The female participation to prevalence ratio (PPR) was estimated for each trial based on the relative prevalence of the disease by sex in the specified region. Results We identified 1,079 registered CV trials, which included 1,396,104 participants, of whom 571,641 (41.0%) were women. The median F:M ratio was significantly lower for studies on arrhythmia (0.5), coronary heart disease (CHD) (0.39), acute coronary syndrome (ACS) (0.32) and heart failure (HF) (0.51), but was higher for obesity (1.44) and pulmonary hypertension (PH) (2.86) CV trials. F:M ratio was higher for trials on lifestyle intervention (1.51) than for drug trials. PPRs were low for clinical trials on CHD (0.66), ACS (0.79), and stroke (0.74). There was a trend to increasing PPR from 2017 to 2023, p=0.056. Conclusion Representation of women in CV trials varies by disease state, region, intervention, and sponsor type. Better understanding of reasons for these differences may enable more tailored interventions to improve representation of women globally and across therapeutic areas.Figure 1 Figure 2

ABSTRACT Tumorigenesis and metastasis are frequently attributed to the intricate interplay between cancer cells and the tumor microenvironment (TME). Comprehending the mechanisms and key regulators of cancer‐immune crosstalk in the TME is imperative for developing efficacious immunotherapy. Through a series of in vivo CRISPR screens, we identified tumor‐intrinsic ITGB1 as a critical regulator of triple‐negative breast cancer (TNBC) development and deciphered its underlying mechanisms. Tumoral ITGB1 facilitated the establishment of pro‐tumorigenic TME by orchestrating tumor‐associated myeloid populations. Suppressing ITGB1 favored the enrichment of anti‐tumorigenic myeloid cells and enhanced infiltration of CD4 and CD8 T cells, culminating in superior antitumor effects. CRISPR scanning pinpointed a previously unrecognized functional domain essential for ITGB1's pro‐tumorigenic activity. This domain is distinct from all known ligand‐binding sites in ITGB1. An antibody capable of sterically blocking this domain significantly impaired TNBC progression. These findings position tumoral ITGB1 as a promising therapeutic target for reprogramming the TME from a pro‐ to an anti‐tumorigenic state, thereby effectively inhibiting TNBC development. Our study uncovers a novel mechanism of TNBC development and provides a unique therapeutic strategy for targeting ITGB1 in TNBC treatment.

Rosai-Dorfman Disease (RDD) is an uncommon histiocytic disorder that can affect lymph nodes and/or extranodal sites. It is marked by the accumulation of abnormal histiocytes that demonstrate emperipolesis—the active, non-destructive engulfment of other leukocytes. RDD exhibits considerable variability in clinical presentation, pathology, genetics, treatment response, and patient outcomes. In this report, we describe 2 rare cases of RDD that underwent sarcomatous transformation and harbored MAP2K1 mutations, both of which demonstrated poor responses to multiple lines of therapy. Additionally, we review 3 other similar cases from the literature.

Abstract Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-referential cycle drives a rapid erosion of pathological variability and diagnostic reliability of medical data at population scale. By analysing more than 800,000 synthetic data points across clinical text generation, vision–language reporting, and medical image synthesis, we find that models progressively converge toward generic phenotypes regardless of the model architectures. Specifically, rare but critical findings, including pneumothorax and effusions, vanish from the synthetic content generated by AI models, while demographic representations skew heavily toward middle-aged male phenotypes. Crucially, this degradation is masked by false diagnostic confidence. Models continue to issue reassuring reports while failing to detect life-threatening pathology, with false reassurance rates tripling to 40%. Blinded physician evaluation confirms that this decoupling of confidence and accuracy renders AI-generated documentation clinically useless after just two generations. We systematically evaluate three mitigation strategies that can be easily integrated into existing clinical workflows, finding that while synthetic volume scaling fails to prevent collapse, mixing real data with quality-aware filtering effectively preserves diversity. Ultimately, our results suggest that without policy-mandated human oversight, the deployment of generative AI threatens to degrade the very healthcare data ecosystems it relies upon.