Citations

Abstract Background: The benefit of adjuvant regional nodal irradiation including the chest wall after mastectomy (CWI+RNI) and with whole breast irradiation (WBI+RNI) after breast conserving surgery (BCS) is well established in pts with pathologically positive axillary nodes (pN+). Pts who present with axillary node involvement (cN+), receive neoadjuvant chemotherapy (NC), and are found to be pathologically node-negative at surgery (ypN0), have lower loco-regional recurrence (LRR) rates compared to those who remain pathologically node-positive (ypN+). This phase III, randomized trial aimed to evaluate whether CWI+RNI after mastectomy or addition of RNI to WBI after BCS significantly improves invasive breast cancer recurrence-free interval (IBC-RFI) in cN+ pts found to be ypN0 after NC. Methods: Eligible pts had clinical cT1-3, N1, M0 invasive breast cancer (biopsy-proven N+ by FNA/core needle bx), completed ≥8 wks of NC (and anti-HER2 therapy if HER2+), and were ypN0 after mastectomy or BCS and sentinel node biopsy (SLNB, ≥2 nodes), axillary lymph node dissection (ALND), or both. Pts were randomized to “No RNI” (i.e., observation after mastectomy or WBI after BCS) vs. “RNI” (i.e., CWI+RNI after mastectomy or WBI+RNI after BCS). Primary endpoint was IBC-RFI. Secondary endpoints reported here: LRR-free interval (LRRFI), distant recurrence-free interval (DRFI), disease-free survival (DFS), and overall survival (OS). Study was designed to have 80% power to detect 35% reduction in annual rate of IBC-RFI for an absolute risk reduction of 4.6% (5-yr cumulative rate). Per protocol, final analysis was to occur after 172 events or 10 yrs after study initiation.Here we report the time-driven analysis prespecified in the protocol. Results: From 9/13-12/20, 1,641 pts were enrolled; 1,556 pts were available for primary event analysis; median f/u time 59.5 mos (IQR 40.7-74.1). Pt/tumor characteristics were well balanced between groups. Median age 52 yrs (range 21-84); 31% non-white; 21% cT1, 60% cT2, 19% cT3; 23% triple-negative, 21% HR+/HER2-, 56% HER2+; 58% BCS; 55% SLNB, 45% ALND+/-SLNB; and 78% had breast pathologic complete response. At the time of the analysis, 109 IBC-RFI events (63% of the planned 172) were confirmed (“No RNI”: 59, “RNI”: 50). There was no statistically significant difference between groups for IBC-RFI (HR=0.88, 95%CI 0.60-1.29; p=0.51), 5-yr point estimates: 91.8% for “No RNI” and 92.7% for “RNI.” There were no statistically significant differences between the treatment groups for secondary endpoints. There were no study-related deaths and no unexpected toxicities.Grade 4 toxicity was rare (0.1% with “No RNI”, 0.5% with “RNI”); 6.5% of pts developed grade 3 toxicity in “No RNI” and 10% in “RNI” group. Most common grade 3 toxicity was radiation dermatitis (3.3% in “No RNI,” 5.7% in “RNI”). Conclusion: In pts who present with biopsy-proven axillary node involvement and convert their axillary nodes to ypN0 after NC, CWI+RNI after mastectomy, or WBI+RNI after BCS, did not significantly improve IBC-RFI, LRRFI, DRFI, DFS, or OS. These findings suggest that downstaging involved axillary nodes with NC can result in optimization of adjuvant radiotherapy without adversely affecting oncologic outcomes. Follow-up of pts for long-term outcomes continues. NCT01872975 *EPM and JW are co-first authors. Table 1 Citation Format: Eleftherios Mamounas, Hanna Bandos, Julia White, Thomas Julian, Atif Khan, Simona Shaitelman, Mylin Torres, Frank Vicini, Patricia Ganz, Susan McCloskey, Nilendu Gupta, X. Allen Li, Peter Lucas, Nadeem Abu-Rustum, Saumil Gandhi, Rahul Tendulkar, Robert Coleman, Keiichi Fujiwara, Samantha Seaward, William Irvin, Kristin Higgins, Robert Mutter, Jean-Francois Boileau, Andrew Muskovitz, Reshma Jagsi, Anna Weiss, Curran Walter Jr., Norman Wolmark. Loco-Regional Irradiation in Patients with Biopsy-proven Axillary Node Involvement at Presentation Who Become Pathologically Node-negative After Neoadjuvant Chemotherapy: Primary Outcomes of NRG Oncology/NSABP B-51/RTOG 1304 [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr GS02-07.

Abstract Three‐dimensional (3D) modeling using digital or printed models provides a unique perspective that caters to cognitive spatial ability in a way that can add to our understanding and mental representations of human anatomy. This is particularly useful in the setting of trochlear dysplasia, where the morphology of the groove can exhibit substantial variability and complexity. Using 3D reformatted images and models, a pragmatic understanding of how morphology influences patellofemoral pathology can be gleaned. Further, this perspective facilitates cognition of what patellar tracking may look like after realignment procedures. Using 3D modeling, concepts such as patella alta, trochlear depth, lateralization of the patellar entry point, trochlear curvature, and the presence of a proximal trochlear spur can help afford a better understanding of how trochlear anatomy may influence tracking while also providing insight as to the ideal tracking path. The use of 3D has recently emerged as a useful tool in multiple surgical subspecialties, particularly in situations involving surgical planning or complex anatomy. Given the complexity and variation in trochlear morphology in patients with trochlear dysplasia who develop either patellar instability or focal overloading, 3D modeling is well‐suited to provide a perspective that can add to our understanding of trochlear dysplasia, and potentially even how we diagnose and treat it. Level of Evidence Level V, expert opinion.

Purpose To create a metric for evaluating the degree of laterality of the patella’s entry into the trochlea, the entry point–trochlear groove (EP‐TG) angle, and to evaluate if this laterality is associated with recurrent patella instability. Methods The time frame of the study was January 2020 to February 2023. The inclusion criteria were patients treated by the senior author (J.P.F.) (with the exception of 2 patients who were treated by another provider at the institution who was aware of the study) who have been diagnosed with recurrent atraumatic patellar dislocations. Controls without knee pathology were selected from the New Mexico Decedent Imaging Database (NMDID). Simpleware ScanIP was used to create 3‐dimensional (3D) models of the distal femurs from computed tomography scans. Anteroposterior images of these 3D models were uploaded to a custom EP‐TG angle measuring tool. Three measurers used the tool to measure the EP‐TG angle of the distal femurs. Results Twenty‐eight patients were included for the recurrent dislocator group. Twenty‐four decedents from the NMDID were selected for the control group, each with a left or right knee chosen randomly for measurement. A 1‐sided Mann‐Whitney U test, used to evaluate whether the recurrent dislocators had higher EP‐TG angle values, yielded a P value <.001, demonstrating a high level of significance. A Bayesian mixed‐effect model, used to determine how different the EP‐TG angles are between the 2 groups, gave a posterior predictive interval of [11.93°, 19.12°] for the EP‐TG angle shift of dislocators. The intraclass correlation coefficient was 0.648. Conclusions The morphologic entry point of the patella into the proximal trochlea is more lateral in recurrent patella dislocators than in controls. This increased laterality can be measured by the EP‐TG angle, which may be useful information for optimizing treatment of recurrent patella instability. Level of Evidence Level III, case control study.

Evidence from medicine and other fields has shown that gender diversity results in better decision making and outcomes. The incoming workforce of congenital heart specialists (especially in pediatric cardiology) appears to be more gender balanced, but past studies have shown many inequities. Gender‐associated differences in leadership positions, opportunities presented for academic advancement, and recognition for academic contributions to the field persist. In addition, compensation packages remain disparate if evaluated based on gender with equivalent experience and expertise. This review explores these inequities and has suggested individual and institutional changes that could be made to recruit and retain women, monitor the climate of the institution, and identify and eliminate bias in areas like salary and promotions.

PURPOSE Guidelines recommend germline genetic testing (GT) for patients with pancreatic ductal adenocarcinoma (PDAC). This study aims to evaluate the utilization and outcomes of multigene panel GT in patients with PDAC. METHODS This retrospective, multisite study included patients with PDAC diagnosed between May 2018 and August 2020 at Mayo Clinic Arizona, Florida, and Minnesota. Discussion, uptake, and outcomes of GT were compared before (May 1, 2018-May 1, 2019) and after (August 1, 2019-August 1, 2020) the guideline update, accounting for a transition period. RESULTS The study identified 533 patients with PDAC, with 321 (60.2%) preguideline and 212 (39.8%) postguideline. Patient characteristics did not differ between the preguideline and postguideline periods. GT was discussed in 34.3% (110 of 321) of preguideline and 39.6% (84 of 212) of postguideline patients (odds ratio [OR], 1.26 [95% CI, 0.88 to 1.80]) and subsequently performed in 80.9% (89 of 110) of preguideline and 75.0% (63 of 84) of postguideline patients (OR, 1.10 [95% CI, 0.75 to 1.61]). Of 152 tested patients, 26 (17.1%) had a pathogenic variant (PV), of whom 17 (11.2%; 17 of 152) were PDAC-associated. Over the entire study period, GT was more likely in younger patients (65 v 70 years; P < .001), those seen by a medical oncologist (82.9% v 69.0%; P < .001), and those surviving more than 12 months from diagnosis (70.4% v 43.4%; P < .001). Demographics and personal/family cancer history were comparable between patients with and without a PDAC PV. CONCLUSION GT remains underutilized despite National Comprehensive Cancer Network guideline recommendations. Given the poor prognosis of PDAC and potential implications of GT, efforts to increase utilization are needed to provide surveillance and support to both patients with PDAC and at-risk family members.

Abstract Background Customized and standard automated insulin delivery (AID) systems for use in pregnancies of women with preexisting type 1 diabetes (T1D) are being developed and tested to achieve pregnancy appropriate continuous glucose monitoring (CGM) targets. Guidance on the use of CGM for treatment decisions during pregnancy in the United States is limited. Methods Ten pregnant women with preexisting T1D participated in a trial evaluating at-home use of a pregnancy-specific AID system. Seven-point self-monitoring of blood glucose (SMBG) was compared to the closest sensor glucose (Dexcom G6 CGM) value biweekly to assess safety and reliability based on the 20%/20 mg/dL criteria. Results All participants completed the study with 7 participants satisfying the safety and reliability criteria with a mean absolute relative difference of 10.3%. Three participants did not fulfill the criteria, mainly because the frequency of SMBG did not meet the requirements. Conclusion Dexcom G6 CGM is safe and accurate in the real-world setting for use in pregnant women with preexisting T1D with reduced SMBG testing as part of a pregnancy-specific AID system.

BACKGROUND: Associations of early changes in vasoactive support with cardiogenic shock (CS) mortality remain incompletely defined. METHODS: The Critical Care Cardiology Trials Network is a multicenter registry of cardiac intensive care units. Patients admitted with CS (2018–2023) had vasoactive dosing assessed at 4 and 24 hours from cardiac intensive care unit admission and quantified by the vasoactive-inotropic score (VIS). Prognostic associations of VIS at both time points, as well as change in VIS from 4 to 24 hours, were examined. Interaction testing was performed based on mechanical circulatory support status. RESULTS: Among 3665 patients, 82% had a change in VIS <10, with 7% and 11% having a ≥10-point increase and decrease from 4 to 24 hours, respectively. The 4 and 24-hour VIS were each associated with cardiac intensive care unit mortality (13%–45% and 11%–73% for VIS <10 to ≥40, respectively; P trend <0.0001 for each). Stratifying by the 4-hour VIS, changes in VIS from 4 to 24 hours had a graded association with mortality, ranging from a 2- to >4-fold difference in mortality comparing those with a ≥10-point increase to ≥10-point decrease in VIS ( P trend <0.0001). The change in VIS alone provided good discrimination of cardiac intensive care unit mortality (C-statistic, 0.72 [95% CI, 0.70–0.75]) and improved discrimination of the 24-hour Sequential Organ Failure Assessment score (0.72 [95% CI, 0.69–0.74] to 0.76 [95% CI, 0.74–0.78]) and the clinician-assessed Society for Cardiovascular Angiography and Interventions shock stage (0.72 [95% CI, 0.70–0.74] to 0.77 [95% CI, 0.75–0.79]). Although present in both groups, the mortality risk associated with VIS was attenuated in patients managed with versus without mechanical circulatory support (odds ratio per 10-point higher 24-hour VIS, 1.36 [95% CI, 1.23–1.49] versus 1.84 [95% CI, 1.69–2.01]; P interaction <0.0001). CONCLUSIONS: Early changes in the magnitude of vasoactive support in CS are associated with a gradient of risk for mortality. These data suggest that early VIS trajectory may improve CS prognostication, with the potential to be leveraged for clinical decision-making and research applications in CS.

Abstract Many cancers, including glioblastoma (GBM), have a male-biased sex difference in incidence and outcome. The underlying reasons for this sex bias are unclear but likely involve differences in tumor cell state and immune response. This effect is further amplified by sex hormones, including androgens, which have been shown to inhibit anti-tumor T cell immunity. Here, we show that androgens drive anti-tumor immunity in brain tumors, in contrast to its effect in other tumor types. Upon castration, tumor growth was accelerated with attenuated T cell function in GBM and brain tumor models, but the opposite was observed when tumors were located outside the brain. Activity of the hypothalamus-pituitary-adrenal gland (HPA) axis was increased in castrated mice, particularly in those with brain tumors. Blockade of glucocorticoid receptors reversed the accelerated tumor growth in castrated mice, indicating that the effect of castration was mediated by elevated glucocorticoid signaling. Furthermore, this mechanism was not GBM specific, but brain specific, as hyperactivation of the HPA axis was observed with intracranial implantation of non-GBM tumors in the brain. Together, our findings establish that brain tumors drive distinct endocrine-mediated mechanisms in the androgen-deprived setting and highlight the importance of organ-specific effects on anti-tumor immunity.

Abstract Intratumoral heterogeneity poses a significant challenge to the diagnosis and treatment of glioblastoma (GBM). This heterogeneity is further exacerbated during GBM recurrence, as treatment-induced reactive changes produce additional intratumoral heterogeneity that is ambiguous to differentiate on clinical imaging. There is an urgent need to develop non-invasive approaches to map the heterogeneous landscape of histopathological alterations throughout the entire lesion for each patient. We propose to predictively fuse Magnetic Resonance Imaging (MRI) with the underlying intratumoral heterogeneity in recurrent GBM using machine learning (ML) by leveraging image-localized biopsies with their associated locoregional MRI features. To this end, we develop BioNet, a biologically-informed neural network model, to predict regional distributions of three tissue-specific gene modules: proliferating tumor, reactive/inflammatory cells, and infiltrated brain tissue. BioNet offers valuable insights into the integration of multiple implicit and qualitative biological domain knowledge, which are challenging to describe in mathematical formulations. BioNet performs significantly better than a range of existing methods on cross-validation and blind test datasets. Voxel-level prediction maps of the gene modules by BioNet help reveal intratumoral heterogeneity, which can improve surgical targeting of confirmatory biopsies and evaluation of neuro-oncological treatment effectiveness. The non-invasive nature of the approach can potentially facilitate regular monitoring of the gene modules over time, and making timely therapeutic adjustment. These results also highlight the emerging role of ML in precision medicine.