Citations

Background Acute otitis externa (AOE) is a common condition encountered in primary care. Evidence-based guidelines recommend topical antimicrobial therapy as first-line treatment for uncomplicated disease regardless of diabetes status. However, clinicians may escalate treatment in patients with diabetes because of concern for necrotizing otitis externa (NOE), a rare but potentially life-threatening complication. This study aimed to evaluate whether diabetes status influences systemic antibiotic use in uncomplicated acute otitis externa and to assess factors associated with treatment decisions. Methods A cross-sectional survey was distributed to primary care clinicians participating in a multi-state primary care practice-based research collaborative, comprising physicians, nurse practitioners, and physician associates within the specialties of family medicine, general pediatrics, and general internal medicine. The survey instrument asked clinicians what they would select as first-line treatment for uncomplicated AOE in patients with and without diabetes mellitus (DM). It also assessed factors influencing management decisions as well as confidence in identifying NOE. The primary outcome was whether the clinician reported they would use systemic antibiotics for treatment of AOE, comparing treatment decisions using relative risk (RR) with 95% confidence intervals (CI) for antibiotic exposure given the presence of DM. Results Out of 257 invitations, 58 respondents completed the survey (22.6%). Systemic antibiotics were selected more frequently when DM was present (19.0%) compared with when DM was absent (5.2%), resulting in a significantly increased likelihood of reported systemic antibiotic use (RR = 3.67; 95% CI, 1.08–12.47; p = 0.043). Clinician confidence in identifying NOE varied, with most respondents reporting only slight or moderate confidence. Conclusions Primary care clinicians reported substantially higher use of systemic antibiotics when managing uncomplicated AOE in patients with DM, representing nearly a fourfold increase in antibiotic exposure despite guideline recommendations favoring topical therapy alone. These findings highlight practice variation which may be driven by concern for necrotizing otitis externa, underscoring opportunities to improve antibiotic stewardship and clinician confidence in risk stratification.

Abstract Background Black women are more likely to develop and die from early‐onset breast cancer. Hereditary breast cancer (HBC) is strongly associated with early age of onset. Accordingly, HBC characteristics in young Black women were evaluated. Methods Black women diagnosed with invasive breast cancer at age 50 years or younger between 2005 and 2018 were recruited through the state cancer registries in Florida and Tennessee. Participants were asked to complete a questionnaire, sign medical records releases, and donate a saliva sample for free genetic testing to identify HBC germline pathogenic or likely pathogenic variant (GPV). Women with sporadic versus hereditary breast cancer were compared, based on age distribution, clinical characteristics, and family cancer history. Results Among 686 participants with confirmed genetic testing, 15.3% had GPVs in breast and/or ovarian cancer predisposition genes, including BRCA1 (7.7%), BRCA2 (4.5%), PALB2 (0.9%), and ATM (0.7%), with 1.5% in other genes. Compared to the sporadic group, triple‐negative breast cancers were overrepresented among BRCA1 carriers (23.6% vs. 75.5%; p < .001), and family history of breast cancer was significantly more frequent among BRCA1 , BRCA2 , and PALB2 carriers (all p < .05). The majority of breast cancers occurred by age 40 years in BRCA1 carriers (52.8%), compared to other genes, where age was more evenly distributed. Conclusion Among unselected young Black women with breast cancer, our findings demonstrate that the highest frequency of HBC GPVs are in BRCA1 , BRCA2, and PALB2, with identification of distinct histopathologic and demographic characteristics across HBC genes, underscoring the critical need for genetic testing in all populations.

Tumor-associated antigens (TAAs) are non-mutated antigenic peptides expressed in cancer tissue at abnormally high levels but in normal tissue either at negligible levels, during only particular developmental stages, or in a tissue-restricted manner. The shared nature of TAAs across patients makes them attractive targets for off-the-shelf immunotherapies. However, no studies have comprehensively surveyed the TAA potential of all possible wild-type peptides originating from cancer-associated genes. In this study of 16 cancer tissue types and 39 normal tissue types, we analyzed the expression profiles of protein-coding genes to identify those with aberrantly high RNA levels across multiple solid tumor types and low RNA levels across all normal tissue types examined. We then developed a score to quantify tumor specificity of gene expression. Compared to previously reported TAA genes, those we identified exhibited substantially greater tumor specificity. Seven of these genes demonstrated consistently elevated expression in at least five tumor types and minimal expression across all non-immune-privileged normal tissues. To assess Human Leukocyte Antigen (HLA) class I presentation potential of the multi-cancer-associated genes, we computationally predicted the binding affinities between the most common class I HLA alleles and all possible wild-type TAA epitopes of 8–11 amino acids arising from those genes. We then applied rigorous filtering criteria to prioritize the most promising multi-cancer TAA peptide candidates and evaluated their HLA binding and cell-surface presentation using T2 and immunopeptidome analysis. Our results highlight new potential targets for multi-cancer immunotherapies.

ABSTRACT One quarter of patients with diffuse large B‐cell lymphoma (DLBCL) who achieve a complete response following front‐line therapy will eventually experience disease relapse. Existing prognostic models use baseline factors to predict outcomes from the start of initial therapy and are not intended for use following completion of treatment. We developed a conditional event‐free survival (cEFS) tool that predicts a patient's risk of lymphoma recurrence after completing front‐line therapy taking into consideration baseline risk characteristics plus the time the patient has been in remission. Model development used pooled and harmonized data from two observational cohorts and four randomized trials of patients with newly diagnosed DLBCL treated with immunochemotherapy and either achieving a complete response or not experiencing an event within 12 weeks of end of therapy. Cox proportional‐hazards regression modeling with backwards stepwise selection was utilized for model development. External validation was performed using a large independent data registry. In total, data from 2757 patients were used for model development. The risk of experiencing an event at a time point after having survived a period of time could be computed parsimoniously using four basic predictors: age, ECOG performance status grade, Ann Arbor stage, and lactate dehydrogenase level. C‐index in the model development cohort was 0.65 (95% CI, 0.63–0.68), compared to 0.64 (95% CI, 0.62–0.66) in the external validation cohort. We believe that this dynamic risk prediction tool will not only aid clinicians in providing data‐driven recommendations for surveillance, but also assist patients themselves with key decisions, such as family planning.