Citations

Abstract Background: BRCA2 variants with partially aberrant RNA splicing have been associated with a relatively lower breast cancer risk (reduced penetrance) relative to canonical pathogenic variants. However, the existence of partial loss of function (hypomorphic) missense variants, conferring reduced penetrance, is less certain. Identification and assessment of the clinical relevance of such reduced penetrance pathogenic variants (RPPVs) is needed to provide accurate risk estimates. Methods: Comprehensive functional characterization of hypomorphic missense variants (n=70) in the BRCA2 DNA-binding domain, initially identified through homology-directed DNA repair (HDR) assays, was conducted through multiple independent functional assays, including HDR, CRISPR/Cas9-based endogenous targeting, RAD51 foci formation assay, and Poly(ADP-ribose) polymerase (PARP) inhibitor response assay. Risk estimates were obtained using two large datasets from patients referred for hereditary cancer testing. A ClinGen/ACMG/AMP model was used for clinical classification. Results: The variants consistently demonstrated hypomorphic HDR activity and endogenous survival in HAP1 targeted cells, decreased RAD51 foci formation, and increased sensitivity to PARP inhibitors. These variants were associated with a moderate increase in breast cancer risk, as shown in two independent studies: one using multivariable logistic analysis adjusted for age, ancestry and family history (OR=2.41, 95%CI=1.51-3.85) and another comparing frequencies of variants in breast cancer cases to public reference controls adjusted for ancestry (OR=2.09, 95% CI=1.16-4.08). The mean age of breast cancer diagnosis for carriers of hypomorphic variants was 57 years, which was significantly older than the mean age of diagnosis of 51 years for carriers of protein truncating variants. Functional data were combined with other evidence sources in a ClinGen/ACMG/AMP model to classify 14 variants as “likely pathogenic”. Conclusions: We identified partially functional, hypomorphic missense variants associated with reduced penetrance for breast cancer. Cancer risk management guidelines for this new category of variants should be revisited given that the associated breast cancer risks warrant high risk screening but do not meet the threshold at which risk reducing mastectomy is offered. This study supports a shift in paradigm to considering variant-based risks on a continuum, with implications for risk-appropriate cancer risk management. Citation Format: H. Huang, C. Hu, J. Na, M. Kucera, T. Simmons, E. Mundt, C. C. Young, Z. Heidari, P. C. Lyra, Y. Y. Tan, K. L. Nathanson, T. Pal, R. Karam, T. Pesaran, S. Yadav, S. M. Domchek, A. N. Monteiro, E. Hughes, N. Boddicker, W. Chen, M. E. Richardson, F. J. Couch. Partially functional (hypomorphic) missense variants in BRCA2 are reduced penetrance pathogenic variants [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PD4-05.

Abstract Background: TheTAILORx trial established that adjuvant endocrine therapy (ET) is non-inferiorto chemotherapy plus ET (CET) in T1-2N0 HR+/HER2-negative early breast cancer(EBC) with an Oncotype DX (ODX) 21-gene recurrence score (RS) of 11-25, RS 0-10is associated with low distant recurrence (DR) rates with ET alone, and RS26-100 is associated with higher DR rates despite CET. Although ODX isprognostic for 10-year DR, it has limited value for late DR >5 years. Inorder to develop improved DR risk prognostication, we developed multimodal AImodels integrating clinical, molecular, and histopathology features to provideprognostic information for early (<5years), late (>5 years), and overall DR at 15 years using primary tumorsamples and clinical data from volunteers who participated in TAILORx. Methods: DigitizedH&E slides were generated and nucleic acids extracted and sequenced from∼5000 primary tumor samples using Caris MI Tumor Seek-Hybrid, of which 2,808(56%) were used for model training and 5-fold nested cross validation (60/20/20split). Models included single-modality (clinical [C], image [I], molecular [M:ODX genes]), dual-modality (CM, IC), and multimodal (ICM). An expandedmolecular model (M+) model was also derived from expanded molecular inputsderived from whole transcriptome sequencing (WTS) data, including 5 commercialgene signatures (ODX, MammaPrint, Prosigna, EndoPredict, BCI) and 57 high-variancegenes; only EndoPredict, BCI, and ODX gene signatures were retained for model M+.Model-CM+ combined clinical plus expanded molecular features, while ICM/ICM+integrated image, clinical, and (expanded) molecular inputs. Risk scores were dichotomized into high vs. low risk groups usingthresholds chosen to yield risk group proportions closely matching thosedefined by the ODX RS cutoff of 25 for distinguishing high vs. low genomicrisk. Theprimary endpoint was distant recurrence (DR). Prognostic performance wasassessed using truncated concordance index (C-index, 90th percentile of eventtimes), hazard ratios (HRs), and log-rank tests. DNA-level whole exomesequencing (WES) features were also tested but did not provide additionalprognostic information and thus excluded from final models. Results: Theactual ODX continuous RS achieved a C-index of 0.625 for overall DR and 0.743early DR, but no prognostic value for late DR (0.52). Similar results for theC-index were observed for ODX+C for overall DR (0.619), early DR (0.724), andlate DR (0.514). Of all modelsevaluated, model-ICM+ gave the best overall prognostic accuracy for overall DR (C-index0.713; hazard ratio [HR] 3.56 for comparison of high vs. low risk, p<0.001)and late DR (C-index 0.655; HR 2.36, p<0.001), and ranked second for earlyDR (C-index 0.772; HR 6.59, p<0.001) behind the CM+ model (C-index 0.782). Amongsingle-modality models, Model-M+ improved early DR prognostication comparedwith a molecular model including only ODX genes(C-index 0.767 vs 0.744 for M),whereas Model-I was strongest for late DR prognostication (C-index 0.635). Conclusions: Molecularfeatures primarily drove prognostic accuracy for early DR within 5 years,whereas histopathology features strengthened the prognostic accuracy for lateDR after 5 years. Multimodal models captured these complementary signals, withICM+ giving the best overall accuracy for individualized prognostic assessment.Additional validation of the optimized ICM+ model and other models is beingperformed in an intendent validation sample of 2000 TAILORx volunteers, withresults to be presented at the meeting.Supported by the Breast CancerResearch Foundation and the U.S. NIH/NCI U10CA180820 and 5U24CA196172, and theU.S. Postal Service Breast Cancer Stamp Fund. Citation Format: J. A. Sparano, V. Wang, R. J. Gray, D. F. Makower, K. S. Albain, D. F. Hayes, C. E. Geyer, E. C. Dees, M. P. Goetz, J. A. Olson, S. S. Badve, T. J. Saphner, T. J. Whelan, M. Radovich, V. G. Kaklamani, G. W. Sledge. Multimodal artificial intelligence (AI) models integrating image, clinical, and molecular data for predicting early and late breast cancer recurrence in TAILORx [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr GS1-08.

Background The use of 3D imaging with navigation bronchoscopy has increased with the introduction of mobile cone-beam CT (mCBCT). Shape-sensing robotic-assisted bronchoscopy (ssRAB) integrated with mCBCT has been introduced to correct for CT to body divergence (CT-BD) during the biopsy of peripheral pulmonary nodules (PPNs). Methods Prospective observational multicentre study, enrolling patients with a PPN of ≤20 mm suspicious for malignancy, assessing tool-in-lesion (TIL), diagnostic yield, sensitivity for malignancy and incidence of pneumothorax or airway bleeding. Non-malignant index biopsies were followed for 12 months. Descriptive statistics are reported for all variables along with 95% CI for primary endpoints. Results 155 consecutive patients were enrolled at six centres. Median nodule size was 14.0 mm (IQR 11.0–17.0), with 54.8% of nodules (85/155) in the upper lobes, 25.8% (40/155) with CT bronchus sign present and median distance to the nearest pleural surface of 8.2 mm (IQR 1.8–20.0). TIL was achieved in 154/155 (99.4%, 95% CI 96.5 to 100.0) procedures. A median of two (IQR 1–3) mCBCT spins were performed, with median dose area product of 25.7 Gy · cm 2 (IQR 11.0–46.7). Diagnostic yield per the American Thoracic Society/American College of Chest Physicians (ATC/ACCP) definition was 89.0% (n=138/155; 95% CI 83.0 to 93.5) and sensitivity for malignancy was 91.5% (95% CI 86.4 to 96.5). No pneumothorax (0%, 95% CI 0.0 to 2.4) and two Nashville Grade three bleeding events were reported (1.3%, 95% CI 0.2 to 4.6). Interpretation The first prospective multicentre study of integrated ssRAB and mCBCT for small peripheral nodules resulted in diagnostic outcomes similar to those reported for transthoracic biopsy with a more favourable safety profile. Trial registration number ClinicalTrials.gov ID: NCT05562895 .

Alcohol use disorder (AUD) is a preventable non-communicable disease that affects multiple organs and organ systems across all age groups, including the fetus and is a risk factor for developing certain cancers. Furthermore, alcohol intoxication can result in physical trauma to oneself and others, and is a contributing factor in road accidents. Early recognition of AUD is critical for improving diagnosis, management, and outcomes. Accurate diagnosis relies on comprehensive clinical evaluation and patient history. However, denial of AUD, inebriation, and lack of awareness of problems associated with AUD, can prevent early identification of the disease. AUD-associated organ damage manifests in several ways and can be recognized on imaging modalities including ultrasound, CT, and MRI. Detection of these imaging features is useful in raising suspicion of AUD or diagnosing chronic alcohol use. Radiologists should be aware of the manifestations of alcohol's effects across various organ systems and aid in the early detection and treatment of AUD. In this two-part review, the authors present a comprehensive image-based review illustrating the effects of AUD on different organ systems at various stages. This second part focuses on the imaging manifestations in the central nervous system, fetal health, cardiovascular system, and musculoskeletal system. Additionally, a brief overview of secondary imaging manifestations of alcohol use, associated with trauma and cancers, will be presented.

Objective: To explore the existing evidence on novel imaging modalities that may aid in prognostication of vestibular schwannoma (VS) clinical outcomes across various management approaches. Study design: Scoping review. Setting: Not applicable. Patients: Individuals diagnosed with VS. Interventions: Novel imaging techniques. Main outcome measures: Tumor growth and response to medical therapy. Results: A total of 18 articles were included in this review. Of these, 7 focused on pretreatment prognosis, 6 evaluated radiosurgery outcomes, 4 examined microsurgery outcomes, and 1 assessed response to bevacizumab. The imaging modalities investigated included radiomics (n = 10), positron emission tomography (PET; n = 2), dynamic contrast-enhanced MRI (DCE-MRI; n = 2), both PET and DCE-MRI (n = 1), magnetic resonance elastography (MRE; n = 1), contrast-enhanced CT (CE-CT; n = 1), and slip interface imaging (SII; n = 1). Radiomic studies yielded encouraging results in predicting tumor growth after wait-and-scan and radiosurgery, with reported accuracies ranging from 52% to 88%, sensitivities from 13% to 95%, specificities from 50% to 94%, and area under the curves from 0.65 to 0.99. PET studies identified several promising ligands associated with tumor growth during wait-and-scan, suggesting a potential role in prognostication. DCE-MRI also demonstrated associations with tumor growth and treatment response to bevacizumab. Studies on MRE, CE-CT, and SII identified novel imaging parameters associated with tumor stiffness and adhesion. Conclusions: Several emerging imaging modalities hold potential for improving clinical outcome prognostication in VS. Techniques such as radiomics, PET, and DCE-MRI have shown promising results; however, the supporting evidence is still limited and heterogeneous. Further research is necessary to validate and refine these approaches to enhance their clinical utility.

Abstract Patients at risk for progression from myeloid precursor states (idiopathic cytopenia of undetermined significance [ICUS] and clonal cytopenia of undetermined significance [CCUS]) to myelodysplastic syndrome (MDS) are not well defined. Epidemiologic risk factors, clonal changes for MDS development, and evolution from one MDS state to another were available in the MDS Natural History Study (NHS), a prospective cohort enrolled at diverse US sites. Extensive clinical data and biospecimens were collected at baseline and follow-up. A total of 1177 (56%) individuals with MDS or MDS-related precursor conditions (ICUS/idiopathic dysplasia of undetermined significance [IDUS], CCUS, and MDS/myeloproliferative neoplasm overlap) were enrolled and diagnosed in the MDS NHS. The median age was 74 years, with 89% aged ≥60 years, and most were male patients. Median follow-up time was 1.6 years and was similar among ICUS/IDUS, CCUS, and MDS. During follow-up period, 68% of participants terminated the study, 35% died, and 38% had disease progression. Using a refined clinical definition of progression, the greatest proportion of progression was observed among higher-risk-MDS (116 [73%]), followed by lower-risk-MDS (170 [52%]); fewer progression events were observed among participants with CCUS (65 [22%]) and ICUS/IDUS (46 [17%]). Predictors of progression are delineated, including female sex, higher quantity of mutations, the presence of TP53 mutation, and poor/very poor cytogenetic score. Based on these prospective data, guidelines for clinical management including monitoring and surveillance are outlined. The MDS NHS provides real-world data to illustrate how clinical and genotypic differences inform the classification, disease course, and approach to therapy, with informed monitoring guidelines for patients. This trial was registered at www.ClinicalTrials.gov as NCT02775383.

VEXAS (Vacuoles, E1 ubiquitin-activating enzyme, X-linked, Autoinflammatory, Somatic) syndrome is a systemic disorder characterized by an overlap of hematologic and inflammatory features. Most patients require chronic use of moderate-to-high doses of glucocorticoids (GCs) to maintain disease control. Data on GC-sparing therapies is limited, and there have been no prospective pharmacotherapeutic trials in VEXAS syndrome published to date. Pacritinib, an oral inhibitor of IRAK1, JAK2, and ACVR1, has emerged as a promising therapeutic option for VEXAS syndrome. The PAXIS trial is the first prospective, randomized pharmacotherapeutic study conducted in this rare and severe disease. Utilizing a novel study design and disease-specific endpoints, the trial will evaluate the efficacy and safety of two dose levels of pacritinib compared with placebo in patients with VEXAS syndrome (NCT06782373, EUCTR: 2024-516347-41-00).

Objective: Cochlear implantation (CI) under local anesthesia facilitates intraoperative behavioral patient feedback to potentially improve acoustic hearing preservation and limit intracochlear trauma. Patient feedback during electrode insertion is potentially confounded by loudness adaptation, a perception of tone decrease despite stable presentation, or insufficient intensity discrimination, a failure to detect a change in hearing despite one actually occurring. Both loudness adaptation and intensity discrimination are critical factors for awake CI and have not been systematically studied in the CI candidate population. Patients: Adult candidates for CI. Interventions: Under routine audiometric testing conditions in a soundproof booth, a standard behavioral audiogram, audiogram obtained in recorded ambient operating room (OR) noise, loudness adaptation to sustained suprathreshold (+10 and +20 dB) pure tones at 500, 1000, 2000, and 4000 Hz in both quiet and in ambient OR noise, and intensity discrimination to sustained suprathreshold (+10 and +20 dB) pure tones at 500, 1000, 2000, and 4000 Hz were performed. Main outcome measures: Pure tone average (PTA) in quiet and in ambient OR noise, proportion of patients reporting loudness adaptation at different suprathreshold levels and frequencies, and reliability of intensity discrimination. Results: In total, 20 ears were included for study. The median PTA was similar between testing in quiet (68 dB, IQR: 63 to 73) and in ambient OR noise (68 dB, IQR: 62 to 73). Most participants (n = 11, 55%) reported loudness adaptation when testing at +10 dB suprathreshold intensity, with a decreased proportion (n = 8, 40%) demonstrating adaptation at the higher tone intensity (+20 dB suprathreshold). Loudness adaptation varied among frequencies, with a trend toward increasing adaptation at higher frequencies at both testing intensities. Participants demonstrated excellent intensity discrimination, detecting a 5 dB difference when testing at +10 dB both in quiet and with background OR noise in 82 of the 85 (96%) tests performed across the frequency range, although with lower intensity discrimination at +20 dB, particularly in background OR noise. Conclusions: For CI candidates, pure tone audiometric performance did not significantly differ in background OR noise, confirming the reliability of intraoperative audiometric testing. For optimal tone presentation, there is decreasing loudness adaptation with increased tone presentation (+20 dB suprathreshold) and in lower frequencies of tone presentation. Intensity discrimination was reliable at a 5 dB increment across a range of testing parameters.

Abstract Histones variant composition and post-translational modifications (PTMs) of core and linker histones jointly orchestrate chromatin architecture and tissue-specific gene regulation. However, capturing the full complexity of the “histone code” in native human tissues remains challenging. Here we present a human cardiac histone proteoform atlas—comprising intact histone variants with combinatorial PTMs—enabled by a streamlined top‑down proteomics workflow. In a single one‑dimensional reversed‑phase liquid chromatography (LC)-mass spectrometry (MS) run, we achieve baseline separation of all four core histone families (H2A, H2B, H3, and H4) together with the linker histone H1 directly from human myocardium. Notably, this intact-protein analysis preserves the connectivity of co-occurring PTMs to individual histone molecules to reveal the combinatorial histone code, enabling proteoform‑level quantification of histone‑variant composition and PTM stoichiometry at the chromatographic scale. Targeted MS/MS directly resolves co-occurring PTM combinations and distinguishes highly homologous histone isoforms. Using this approach, we assemble the first comprehensive cardiac histone proteoform atlas and uncover previously unobserved histone proteoforms. More broadly, this top-down proteomics workflow provides a robust framework for proteoform-resolved analysis of histone variants and PTMs in complex biological systems.