Citations

Abstract Background Cyclin-dependent kinase 12 (CDK12) regulates general gene transcription elongation and plays multiple roles in RNA splicing, DNA damage-response, cell cycle, and genomic stability. However, transcriptional partners that guide CDK12-specific gene programs have not been identified. Genomic alterations in CDK12 have been observed in multiple cancers, exhibiting both pro-tumorigenic and tumor-suppressive functions, suggesting a context-dependent mechanism of action. Methods CDK12 copy number alterations and gene expression levels were analyzed in matched primary and brain metastatic patient tumors. Clinical significance was assessed by immunohistochemistry in a large cohort of primary breast cancer patient tumors. RNA sequencing, ChIP sequencing, and molecular studies were conducted to explore CDK12’s mechanism of action, and pharmacological studies were performed both in vitro and in vivo using models of advanced (endocrine-resistant and metastatic) estrogen receptor positive (ER+) disease. Results CDK12 amplifications and gene overexpression were observed in brain metastatic tumors. In ER+ primary patient tumors, high CDK12 protein expression was significantly associated with poor overall survival, particularly within the ER+/HER2-negative group. In ER+ endocrine resistant models, CDK12 regulated estrogen signaling pathways, with ER/MED1 identified as the master transcriptional complex directing CDK12-specific pro-tumorigenic gene programs. Pharmacological inhibition of CDK12 significantly reduced viability in endocrine resistant and metastatic cell and organoid models in vitro, and decreased metastatic spread in vivo. Conclusion This work describes a novel mechanism for CDK12, suggesting a potential vulnerability in ER+ breast cancer. These findings provide a basis for further investigation into the role of CDK12 inhibition as a therapeutic approach, particularly in advanced disease settings.

Objectives: Participant retention is essential in prospective studies to minimize bias and maintain validity. This study aimed to estimate retention rates and identify factors influencing attrition in a multicenter cohort (PROCEED) of US adults with acute/recurrent acute pancreatitis (AP/RAP) and chronic pancreatitis (CP). Methods: Participants from the PROCEED study with AP/RAP or CP eligible for follow-up within the designated visit window were included. Retention was defined as completing at least one follow-up visit during the observation period. Retention was analyzed by follow-up mode (in-person and/or medical record review) and disease type (AP/RAP and CP). Retention factors were assessed using univariate analyses (Wilcoxon rank-sum for continuous variables, χ 2 /Fisher's exact for categorical) and multivariable logistic regression. Missing data were adjusted using multiple imputations in statistical modeling. Results: Among 1279 participants (AP/RAP: n=632, median age 47, 48.9% female; CP: n=647, median age 54, 46.5% female), we observed high cumulative and annualized retention rates, with improved retention when incorporating medical record reviews. In multivariable regression analyses, older age was statistically significantly associated with in-person retention in the AP/RAP group ( P =0.0001), while a higher self-reported physical health (assessed with PROMIS Global Health Physical Health T-score) was a key predictor of retention in CP ( P =0.034). Conclusions: Integrating medical records review substantially enhanced retention rates, enabling robust analyses of pancreatitis outcomes and disease progression. Older age and better self-reported physical health were key predictors of retention, highlighting the need for targeted strategies to enhance engagement among younger participants and those with poorer health in long-term studies.

Abstract Clinical and translational research is important for health care and the growth of medical specialties. Physical medicine and rehabilitation offers many opportunities for research, but research growth in physical medicine and rehabilitation is lacking, and research resources and productivity vary across academic physical medicine and rehabilitation departments across North America. The Physiatric Research Consulting Program was developed by the Association of Academic Physiatrists to provide customized recommendations to enhance research capacity and productivity in physical medicine and rehabilitation departments. This report outlines the three components of the Physiatric Research Consulting Program, including a previsit needs assessment, an in-person visit, and a postvisit follow-up final report. The report also provides a qualitative assessment of the impact of the Physiatric Research Consulting Program, with general themes of feedback, site visit evaluations, and final report evaluations. The Physiatric Research Consulting Program was found to be valuable in identifying gaps and needs for physical medicine and rehabilitation departments, providing outside perspectives, and energizing faculty toward research growth in their departments.

Importance Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM , BRCA1 , BRCA2 , CHEK2 , and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.

The treatment landscape of B-cell lymphomas has significantly evolved in recent years with approval of novel targeted therapies. CD3 × CD20 bispecific antibodies and CD19-directed monoclonal antibodies and antibody–drug conjugates have demonstrated efficacy in relapsed/refractory follicular lymphoma (FL). Bruton tyrosine kinase (BTK) inhibitor–based regimens are emerging as effective treatment options for patients with TP53-mutated classical mantle cell lymphoma (MCL). Results from ongoing clinical trials suggest that the addition of CD3 × CD20 bispecific antibodies to chemoimmunotherapy improves outcomes in patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL). These NCCN Guideline Insights highlight significant updates to the NCCN Guidelines for B-Cell Lymphomas for the treatment of FL, MCL, and DLBCL.

Abstract Objective This study reports development and validation of a deep learning seizure detection algorithm for two‐channel subscalp electroencephalographic (EEG) recordings. Ultra‐long‐term monitoring of people with epilepsy may produce new insights into the timing and pattern of their seizures and may pave the way for novel therapeutic options. Although EEG is the accepted standard for epilepsy monitoring, ultra‐long‐term EEG recordings generate a massive quantity of data and are not reasonably reviewable in full by human readers. Methods The convolutional neural network‐bidirectional long short‐term memory (CNN‐BiLSTM) hybrid algorithm uses nine layers, operating on channel spectrograms 5 min in length with 50% overlap. Retrospective subscalp EEG data from 16 patients recorded at three centers were available for algorithm development and testing. EEG was recorded for a median of 63 days (range = 9–508), and a median of 17 seizures (range = 0–96) were recorded. Training data were augmented with scalp EEG seizures, and performance was benchmarked against a conventional spectral power classifier algorithm. We also evaluated an intrapatient training–testing approach where the algorithm was trained on the first 45% of data. Results The CNN‐BiLSTM trained on scalp EEG and subscalp EEG achieved an area under the receiver operating characteristic curve (AUROC) of .98 and an area under the precision–recall curve (AUPRC) of .50, which correspond to 94% sensitivity with 1.11 false detections per day. The same model trained on iEEG achieved only AUROC = .94 and AUPRC = .36. The conventional spectral band power detector achieved AUROC = .93 and AUPRC = .38. The CNN‐BiLSTM detector trained on the earliest half of the subscalp EEG data achieved AUROC = .93 and AUPRC = .37, corresponding to 87% sensitivity and 5.9 false detections per day. Significance High sensitivity and specificity are possible in automated seizure detection in two‐channel subscalp EEG data using a CNN‐BiLSTM framework. Performance of the detector is superior using subcutaneous EEG data for training rather than intracranial EEG, but addition of scalp EEG seizures for training was helpful.

Abstract Chimeric antigen receptor (CAR) T-cell (CAR-T) treatment for B-cell acute lymphoblastic leukemia (ALL) induces high initial response rates, but most patients relapse. Low disease burden (often defined as <5% blasts in the bone marrow) is associated with better outcomes. CAR HEMATOTOX (HT) is a score using prelymphodepletion hematologic and inflammatory parameters to predict outcomes in lymphoma. Here, we assess its prognostic utility in a large multicenter adult B-cell ALL cohort. Patients who received brexucabtagene autoleucel across 33 centers in North America were included as part of the Real-World Outcomes Collaborative of CAR-T in Adult ALL (ROCCA) consortium. An independent cohort of 61 patients with ALL treated with an investigational CD19 CAR-T therapy at 1 center was also described. Among 199 ROCCA consortium patients, 43 (22%) patients with HTlow scores had lower rates of delayed neutrophil recovery than those with HThigh scores (26% vs 52%, P = .002) and fewer severe infections (2.5% vs 18.8%, P = .011). They also had higher response rates, overall survival (OS), and event-free survival (EFS), as well as lower nonrelapse mortality and cumulative incidence of relapse. The survival differences remained significant after multivariable adjustment for disease burden and other covariates. In the investigational cohort of 61 patients, patients with HTlow scores had improved OS and EFS, as well as higher peak CAR-T expansion. In summary, CAR HT score is a prognostic factor independent of disease burden in adult ALL. HTlow score is associated with superior outcomes after CD19 CAR-Ts and higher CAR-T expansion in a single-center cohort. These trials were registered at www.clinicaltrials.gov as #NCT01044069 and #NCT01860937.

Abstract Background To ensure the Pediatric Infectious Diseases (ID) Certifying Examination remains aligned with current clinical practice, the American Board of Pediatrics (ABP) conducted a comprehensive practice analysis to update the exam content outline. Methods A panel of 9 pediatric ID physicians identified 34 core tasks across 5 performance domains to guide revisions to the existing outline. The panel identified relevant, testable knowledge areas aligned with these tasks and organized them into 22 domains and 186 initial subdomains. A nationwide validation survey of board-certified pediatric ID physicians collected relevance ratings and feedback on missing or outdated topics and suggested exam weights, which were used to guide further revisions. Subsequently, the pediatric ID subboard conducted an item reclassification process, which resulted in additional refinement. Results The final content outline comprises 22 domains and 196 subdomains, with updated domain weights to better reflect the clinical landscape. Notably, domains such as cardiovascular, bone and joint, and urologic infections increased in weight, while antimicrobial principles decreased. Conclusions This rigorous, inclusive process strengthens the exam’s content validity and supports the ABP’s goal of certifying physicians who possess the knowledge needed to deliver safe and effective care.