Citations

Abstract Background: 18F-Fluoroestradiol (FES) positron emission tomography (PET) is approved for non-invasive detection of estrogen receptor (ER)-positive breast cancer (BC) and recent updates to the National Comprehensive Cancer Center Network clinical practice guidelines include FES-PET for staging recurrent/metastatic ILC. Given the wide range of FES-PET indications, we retrospectively reviewed the management of ER+ BC patients after FES-PET at Mayo Clinic. Methods: We identified ER+ BC patients who underwent FES-PET from April 2021 to June 2025 across the Mayo Clinic. BC context at the time of FES-PET requisition was categorized as early (EBC), locally recurrent (LRBC), or metastatic (MBC). Management changes were classified as either affecting BC or non-BC care (not mutually exclusive). For pts who underwent 18F-flurodeoxyglucose (FDG) PET-CT and had a discrepant result with FES-PET, we assessed the clinical impact of these discrepancies. Finally, we examined the change in clinical management when FES-PET was ordered to investigate rising tumor markers CA 15-3 or CA 27.29. Results: 166 pts underwent ≥1 FES-PET scan. At diagnosis, 57% had invasive lobular carcinoma (ILC), 33% invasive ductal carcinoma (IDC), and 5.4% mixed histology. ER expression ≥ 50% was observed in 81.4% and 1.2% were HER2+. Overall, FES-PET led to a change in management in 54.5% (n=90) of pts with 43.0% (n=71) experiencing a change in BC care and 16.4% (n=27) in non-BC care. Changes in BC care occurred in 36% of EBC, 68% of LRBC, and 43.7% of MBC. The most common BC management changes after FES-PET were change in treatment strategy in 23.6% (n=39), additional BC-related imaging including further FES-PET scans in 23.0% (n=38), upstaging in 10.3% (n=17), change in surgical planning in 10.3% (n=17), local therapy in 4.2% (n=7), and biopsy avoidance in 3% (n=5). Surgical planning changes were mostly deciding to proceed with curative intent surgery (n=11), though some surgeries were aborted upon FES-PET upstaging (n=6). Non-BC management changes included additional imaging to evaluate incidental findings in 11.5% (n=19) and procedures in 6.7% (n=11), including 5 biopsies, 2 bronchoscopies, 2 endoscopies, 1 hysterectomy, and 1 cholecystectomy. FDG/FES discordancy was observed in 22.3% of the overall population (n=37). The most common pattern was FDG-/FES+ (n=19), leading to upstaging of BC in 8 and the sole use of FES-PET for future restaging in 13 BC patients. The second most common pattern was FDG+/FES- (n=18), attributed to non-BC related FDG uptake in 11 (false-positive FDG) or post-treatment ER loss in 7. Three FDG+/FES- patients were found to have additional cancers: two non-small cell lung cancers and one lymphoma. Non-malignant causes of false positive FDG were inflammation (n=3), silicone implants (n=1), thymic hyperplasia (n=1), and unknown (n=5). Six patients initially upstaged with FDG-PET imaging proceeded to curative-intent surgery after negative FES-PET confirmatory scans (FDG+/FES-). When FES-PET was ordered to investigate rising CA 15-3 or CA 27.29 tumor markers, this led to upstaging/progression in 3 of 21 cases (1 EBC, 2 MBC). The mean tumor marker increase was 57.0% in patients with upstaging/progression versus 19.0% in those without (p=0.02, two-tailed Student’s t-test). Conclusions: FES-PET altered clinical management in approximately half of BC cases in this study. Changes in BC-specific management were most frequent in LRBC, followed by MBC and EBC. One in six patients had a non-BC clinical management change after FES-PET. FDG/FES discordance provided value in upstaging FDG non-avid cancers and downstaging FDG-avid lesions unrelated to BC, influencing curative treatment decisions. FES-PET ordered for rising tumor markers rarely changed management, though larger tumor marker increases were associated with upstaging or progression. Citation Format: N. Wiest, K. Bullock, T. Pai, M. Kornas, B. McKinley, E. Parent, P. Advani. FES-PET imaging in estrogen receptor-positive breast cancer: implications for clinical management [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 PS1-06-16.

Abstract Background: Assessing invasive lobular carcinoma (ILC) with standard-of-care (SOC) imaging, such as 18F-fluorodeoxyglucose (FDG) PET-computed tomography (CT), is challenging. In May 2025, National Comprehensive Cancer Center Network guidelines added FES PET for recurrent/metastatic ILC staging. However, perceptions of the value added by FES PET to SOC imaging may vary, as only small ILC cohorts have been published. We evaluated FES PET’s clinical utility in the largest-studied cohort, to our knowledge, of ILC pts who have undergone FES PET. Methods: We identified all ILC pts who had an FES PET [PET-magnetic resonance (MR) or PET-CT)] between April 1, 2021, and May 1, 2025, at Mayo Clinic. Clinical and radiological data, including indications and management (mgmt) changes related to pts’ first FES PET, were obtained from clinical records. FES and SOC FDG PET were compared. Data were summarized with descriptive statistics. Results: 102 female pts were included: 88% White and 4.9% Black. Median age at initial breast cancer (BC) diagnosis was 57 (range, 36-79). At initial ILC diagnosis, most tumors were strongly estrogen receptor (ER) positive. Highest tumor grade was 1 in 25% of pts and 2 in 57%, with grade not documented in 19%; none had documented grade 3 ILC. Initial clinical prognostic stage was as follows: 26% stage 1, 21% stage 2, 10% stage 3, and 16% stage 4. At the time of FES PET, 37% had biopsy-confirmed metastatic ILC at the time of FES PET. The most common indications for FES PET were (re)staging ILC (49%), detecting suspected metastatic/recurrent BC (30%), and evaluating rising tumor markers like CA 15-3 or CA 27.29 (15%). 16% of pts were upstaged due to the FES PET result: 14 pts to stage 4 and 2 pts to stage 3. FES PET led to a mgmt change in 38 pts (37%), for whom the most common FES PET indications were (re)staging ILC (21 pts), detecting suspected recurrent/metastatic BC (11 pts), and detecting ER expression when biopsy was not feasible/nondiagnostic (7 pts). 19 scans (50%) led to a systemic therapy (tx) decision, 10 (26%) to a biopsy, 4 (11%) to additional imaging like MRI, 3 (8%) to locoregional tx, and 2 (5%) to a non-oncologic specialty referral to evaluate a suspected new metastasis. 11 pts had stage 4 BC pre-FES PET; their FES PET was ordered primarily for restaging (5 pts) or detecting ER expression (5 pts). Notably, of the 19 pts with a systemic tx-related change, 4 began a triple-negative BC regimen due to low FES uptake on the scan. Of the 15 pts who had FES PET to evaluate a rising tumor marker, a direct change in systemic tx occurred in 2 pts. 63/102 pts (62%) had FDG PET-CT prior to FES PET. Of these, 57% had discordant FDG and FES PET results. 39% had a higher number of avid metastatic lesions on FES PET as compared to FDG PET, primarily in the bone (8 pts) and lymph nodes (4 pts). 25% had bone, nodal, or soft tissue metastatic lesions that were FDG but not FES avid. 13 pts had FES PET-MRI; 9 of these had a prior FDG PET-CT. 2 PET-MRI pts had FES-avid metastatic lesions in unusual sites (brain, peritoneum) that were not FDG avid. Among the 38 pts with a mgmt change due to their FES PET result, 63% had prior FDG PET; 32% of the 38 pts had FES-avid metastatic lesions that were not seen on FDG PET, and 8% had FDG-avid but not FES-avid lesions. Conclusions: FES PET was useful for evaluating not only stage 4, but also early-stage ILC, with 1/3 of pts with an FES PET-driven mgmt change having early-stage BC. FES PET was most helpful for ILC (re)staging, detection of suspected recurrent/metastatic BC, and detection of ER expression when biopsy was not feasible/nondiagnostic. FES PET added clinically meaningful information beyond SOC imaging, with detection of FES-avid but not FDG-avid metastatic lesions in 1/3 of pts with an FES PET-driven mgmt change. Notably, FES PET-MRI demonstrated potential superiority over FDG PET in identifying atypical ILC metastases. Citation Format: T. Pai, C. Bullock, N. Wiest, E. Parent, P. Advani. Clinical utility of 18F-fluoroestradiol positron emission tomography (FES PET) in patients (pts) with lobular breast cancer [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 PD9-09.

Abstract Background: Obesity is a poor prognostic factor in early breast cancer (BC). The BWEL trial (Alliance A011401; NCT02750826) is a phase 3 randomized trial testing the impact of a weight loss intervention (WLI) on invasive disease-free survival in women with stage II-III BC and a body mass index (BMI) ≥27 kg/m2. Here we report trajectories of weight change in BWEL WLI participants (pts). Methods: Eligible pts were within 16 months of diagnosis of stage II-III HER2-negative BC, had completed chemotherapy (chemo) and radiation (if given), and were randomized 1:1 to a telephone-based WLI, focused on caloric restriction and exercise, plus health education (HE) or to an HE-alone control group. WLI pts were assigned a trained coach at the BWEL call center and received 42 phone calls over the 2-year (yr) WLI period. Weight and height at baseline, 6 and 24 months were collected by study staff. All WLI pts were provided with a Fitbit wireless scale. Fitbit weight records (FWRs) were automatically imported to the BWEL portal for pts with wireless access and self-reported in the portal for pts without wireless access. FWRs were averaged (avg) by week (wk) from the WLI start date up to 104 wks. Baseline pt factors were self-reported; treatment history was abstracted from the medical record. Linear mixed-effect models were used to evaluate trajectories of weight change over the 104-wk WLI. Principal component analysis and multinomial models were used to examine distinct clusters of weight trajectories. Results: 3180 pts were enrolled from 637 sites between 8/2016 and 2/2021. FWRs were available from 1508 of 1591 WLI pts, with a total of 366,294 FWRs collected during the 2-yr WLI period. In pts with FWRs, mean baseline BMI was 34.4 ± 5.6 kg/m2, mean age was 53.2 ± 10.3 yrs, 10.8% self-identified as Non-Hispanic (NH) Black and 6.1% as Hispanic, 81.1% received chemo and 56.9% were postmenopausal. No statistically significant differences in baseline factors were observed between pts with and without FWRs. Intraclass correlation coefficient of baseline weights collected by study staff and by Fitbit scales was 0.99. In the WLI cohort, avg weekly weight (kg) decreased from 91.4 (95% CI: 90.6-92.3) at baseline to 85.6 (95% CI: 84.8-86.5) by wk 40, corresponding to a peak loss of 6.1% (95% CI: 5.7-6.4) of baseline weight. Weight remained stable until wk 52 and then gradually increased to 87.0 kg (95% CI: 86.2-87.9) at wk 104, corresponding to a 4.4% (95% CI: 4.0-4.8) loss at wk 104 vs. baseline. Principal component analysis identified 3 distinct weight trajectories: 67.6% of pts experienced peak weight loss of 6.6% (95% CI: 6.3-6.9) of baseline weight, 10.0% experienced peak loss of 17.5% (95% CI: 16.8-18.2) of baseline weight, and 22.4% did not achieve weight loss, gaining on avg 2.2% (95% CI: 1.7-2.6) of baseline weight. Pts with college (relative risk ratio [RRR]=1.41, 95% CI: 1.03-1.92) and post-graduate education (RRR= 1.58, 95% CI: 1.13-2.20) and those who were premenopausal (RRR=1.70, 95% CI: 1.28-2.26) were more likely to be in the cluster that did not lose weight. Pts who were NH White (RRR=3.60, 95% CI: 1.95-6.68), postmenopausal (RRR=1.94, 95% CI: 1.28-2.95), had no alcohol use (RRR=1.49, 95% CI: 1.03-2.16), had not received chemo (RRR=1.76, 95% CI: 1.15-2.72), and had <3 chronic conditions (RRR: 2.12, 95% CI: 1.23-3.66) were more likely to be in the cluster with the highest weight loss. Conclusion: Longitudinal weight data from BWEL demonstrate peak weight loss of 6.1% in the WLI cohort at 40 wks, with distinct trajectories indicating differential responses to the WLI. This work demonstrates the feasibility of using digital health tools to track outcomes in the setting of a large-scale weight loss intervention study and informs future precision behavioral interventions in oncology. Support: U10CA180821, U10CA180882, UG1CA189823; U10CA180863. https://acknowledgments.alliancefound.org. Citation Format: C. Cao, K. Ballman, L. McCall, C. Alfano, V. Bernstein, T. Crane, L. Delahanty, L. Frank, P. Goodwin, O. Hahn, D. Hershman, J. Hopkins, M. Irwin, E. Mayer, L. Minasian, L. Nebeling, M. Neuhouser, E. Paskett, P. Spears, V. Stearns, C. Thomson, T. Wadden, A. Weiss, J. White, C. Hudis, E. Winer, A. Partridge, L. Carey, J. Ligibel. Weight Trajectories in the Breast Cancer Weight Loss (BWEL) Trial (Alliance) [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 PD8-01.

ABSTRACT Magnetic Resonance Spectroscopy Imaging (MRSI) offers spatially-resolved, neurometabolic information, acquired non-invasively at whole-brain scales from human subjects. Analysis of MRSI however, is extremely challenging. The metabolic information is highly convolved, and sparsely distributed across millions of spatial-spectral datapoints, allowing for little direct human interpretation. Conversely, the overall low signal-to-noise with high-intensity artifacts can confound unsupervised machine learning approaches. These technical barriers have left much of the potential of MRSI unrealized. We acquired MRSI data from 4 human subjects with a diagnosis of multiple sclerosis (MS), incorporating experimental design into an informed machine learning approach. MRSI acquisitions were registered to anatomical MRI to label 105k spectra from brain tissue and 162 spectra from white matter hyperintensities (WMHs), an imaging biomarker associated with MS lesions. Spectral labels were then used in contrastive principal component analysis (cPCA) to filter artifacts and background features in the MRSI data from lesion salient features and clustered into statistically significant states based on features that could be interpreted from the original data. Our approach renders MRSI data into testable representations of neurometabolism, enabling the method for fundamental and clinical research. Graphical Abstract Analysis workflow for neurometabolic profiling of MS lesions. MRSI and anatomical MRI is acquired and processed in parallel for spectral data and anatomical labels. Spectra are then labeled and separated into experimental vs background data for contrastive PCA. Spectra are clustered for similarity, further labeled, and projected onto a brain atlas for a neurometabolic view.

Abstract Background Colonic strictures in Crohn’s disease (CD) are an important, but understudied clinical problem. Cross-sectional imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and intestinal ultrasound (IUS) effectively assess the small bowel in CD allowing for the diagnosis of strictures. However, radiologic definitions of colonic strictures and their diagnostic accuracy have not been developed. Endoscopic definitions of colonic strictures are the most well-described. Aims We aimed to systematically review available data to summarize definitions, diagnosis and differentiation between inflammation and fibrosis of colonic strictures on endoscopy, CT, MR, and IUS Methods We conducted a systematic review following PRISMA guidelines using MEDLINE, Scopus, CINAHL, and CENTRAL databases from inception to Oct 6, 2024 to identify literature with diagnostic imaging that included patients with colonic CD strictures. To distinguish fibrosis from inflammation, only studies comparing endoscopy or imaging to a full thickness histologic gold standard were included. Two stage screening was completed in duplicate, and risk of bias was assessed using QUADAS-2 Results 46 studies were eligible for inclusion. Definitions for colonic strictures on CT, MR, and IUS are heterogeneous with combinations of bowel wall thickness, luminal narrowing, and pre-stenotic dilation with no clear cut offs. Endoscopic definitions commonly included lack of colonoscope passage through a narrowed lumen. The diagnostic accuracy of colonic strictures on imaging to detect inflammation and fibrosis against a gold standard of endoscopy or surgical resection is unclear as direct comparisons are few. Meta-analyses were not conducted due to methodological heterogeneity of grading fibrosis and statistical heterogeneity of sensitivity, specificity, and accuracy of colonic stricture diagnoses limited by pooling with small bowel strictures in the studies Conclusions This systematic review describes a lack of definitions for the diagnosis of CD colonic strictures particularly on diagnostic imaging, and the limitations with the current available data to differentiate inflammation from fibrosis. Although bowel wall thickening, luminal narrowing, and pre-stenotic dilation are recognized as hallmark features of small bowel strictures, their adaptation to the colon requires further assessment. Definitions for colonic strictures should likely include imaging combined with endoscopy. Future endeavors are required to develop a consensus to define and diagnose colonic strictures on these modalities Funding Agencies None

Abstract Categorical variants, or sets of genomic alterations constrained by shared properties, are pervasive across clinical, regulatory, and research domains in the biomedical ecosystem, yet their inconsistent and non-computable representation hinders data interoperability and clinical interpretation. We surveyed genomic knowledgebases spanning regulatory approvals and the biomedical literature and found that categorical variants underpin a substantial proportion of clinical genomics knowledge, but are largely described using incompatible bespoke models. To address this, we developed the GA4GH Categorical Variation Representation Specification (Cat-VRS), a constraint-based framework that provides a unified computable representation for both precise and intentionally broad categories across molecular and systemic variant domains. Cat-VRS enables harmonization of genomic knowledgebases, computable category-based search, and automated matching between assayed variants and categorical entities in clinical and research contexts. By providing a principled, extensible model for categorical variation, Cat-VRS enables computable reasoning over genomic variant categories and establishes a foundation for the standardized representation and exchange of genomic knowledge.

Abstract Objective To test the effectiveness of a surgical web‐based decision aid (DA) in improving knowledge. Summary of Background Data DAs support decision making by providing information about the options. Methods A stepped wedge trial was conducted in 10 National Cancer Institute Community Oncology Research Program clinics (Alliance for Clinical Trials in Oncology). Clinics were randomized to time of transition from usual care (UC) to delivery of a web‐based DA. Patients with stage 0 through 3 breast cancer being considered for surgery were enrolled. Knowledge (primary outcome) was measured using the Breast Cancer Surgery Decision Quality Instrument and patients were asked, “How informed do you feel?” Intervention effects were tested with linear mixed‐effects models, accounting for surgeon and clinic‐level clustering, time, and enrollment after COVID. Additional models controlled for demographics. Results A total of 44% of DA arm patients reviewed the DA and 58% in UC arm reported reviewing “any information.” Being in the DA arm versus UC was not associated with knowledge. However, “review of information” was associated with higher knowledge. In addition, non‐White race and lower education were associated with lower knowledge. The DA arm was associated with higher perceptions of feeling informed (parameter estimate 1.36; 95% CI, 0.18–2.55; p = .02); this persisted even when controlling for review of information or demographics. Conclusion Improved knowledge was not demonstrate with a web‐based DA versus UC. Interestingly, the DA was associated with a higher likelihood of feeling informed. Future research will explore the discrepancy between patients feeling informed but having low knowledge, especially for disadvantaged patients. Trial Registration ClinicalTrials.gov Identifier: NCT0376600

Convergent framework for future POC cancer diagnostics aligning clinical needs (why), enabling technologies (how), and translational bridges. It integrates lab-on-chip biosensing and analytics for decentralized, early, longitudinal care.

Abstract The phase 1/2 Intergroup study E4412 investigated checkpoint blockade with nivolumab (Nivo) and ipilimumab (Ipi) combined with the CD30 targeting antibody-drug conjugate brentuximab vedotin (BV) in relapsed/refractory classic Hodgkin lymphoma. A total of 147 patients aged ≥12 years were randomized between BV/Nivo and BV/Ipi/Nivo; 132 patients were included in the primary efficacy analysis. The complete response (CR) rate, was 64.7% (52.2, 75.9) for BV/Nivo and 70.3% (57.6, 81.1) for BV/Ipi/Nivo (1-sided P = .29). The median survival follow-up was 38.0 months (interquartile range, 32.6-48.1). Progression-free survival (PFS) did not significantly differ between the 2 arms (hazard ratio [HR], 0.78, confidence interval [CI], 0.39-1.57; 1-sided P = .24). Treatment-related grade 3+ toxicities in the adult cohort, excluding rash, were similar between both arms (38.5% BV/Nivo and 39.3% BV/Ipi/Nivo); there was a higher frequency of grade 3 rash with BV/Ipi/Nivo (24.6%) compared with BV/Nivo (9.2%). We compared PFS by stem cell transplantation (SCT) status in a planned before hoc comparison; 58 patients received SCT, and 36-month PFS (from SCT) was >90% for both arms. Sixty-six patients were progression free after the first scan and did not undergo SCT. The 36-month PFS was 73.0% (54.5, 85.0) for BV/Ipi/Nivo compared with 45.8% (26.3, 63.4) for BV/Nivo (HR, 0.45; CI, 0.19-1.08; 1-sided P = .03). The study did not meet its primary end point of superior CR rate for the triplet, but it supports the use of checkpoint antibody-drug conjugate induction prior to auto SCT, and there is an intriguing signal of disease control for patients wishing to defer or avoid SCT with the triplet of BV/Ipi/Nivo. This trial was registered at www.clinicaltrials.gov as NCT01896999.