Citations

AbstractEndoscopic eradication therapy (EET) is recommended for the management of dysplastic Barrett’s esophagus (BE) and intramucosal adenocarcinoma. Both radiofrequency (RFA) and cryoballoon ablation (CBA) can induce complete remission of intestinal metaplasia (CRIM). We aimed to compare long-term durability following CRIM in patients treated with RFA vs. CBA.We conducted a retrospective cohort study to analyze patient outcomes following EET with RFA or CBA at two referral centers. We measured and compared the recurrence rate of BE, with or without dysplasia, after CRIM, using Cox proportional hazard models and propensity score-matched analyses. Our secondary aim was to identify predictors of recurrence.681 patients who achieved CRIM were included (RFA 610; CBA 71), with median follow-up of 4.1 years and 4.4 years following RFA and CBA, respectively. A multivariable model revealed a higher risk of any recurrence with RFA (hazard ratio [HR] 2.19, 95%CI 1.18–4.06; P = 0.01), but not dysplastic recurrence (HR 0.88, 95%CI 0.39–1.97; P = 0.75). However, a comparable risk of “any recurrence” was observed after excluding intestinal metaplasia of the gastroesophageal junction (HR 1.18, 95%CI 0.61–2.30; P = 0.62). Propensity score-matched analysis (54 cases in each group) showed that the two groups had comparable recurrence risk. Baseline maximum BE length was associated with a higher risk of any recurrence (HR 1.07; P<0.001) and dysplastic recurrence (HR 1.11; P = 0.001).The rates of any BE recurrence and dysplastic recurrence were comparable with the two modalities in this nonrandomized study.

INTRODUCTION: The risk of progression to esophageal adenocarcinoma in Barrett's esophagus (BE) increases with advancing degrees of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver variability and overcalls of dysplasia during manual community pathologist reads. We aimed to externally validate a previously cross-validated BE dysplasia diagnosis deep learning model (BEDDLM) that predicts dysplasia grade on whole slide images (WSIs). METHODS: We digitized nondysplastic BE (NDBE), low-grade (LGD), and high-grade dysplasia (HGD) histology slides from 3 external academic centers. A consensus read by 2 expert study pathologists was used as the criterion standard. Slide stain characteristics were normalized using cycle-generative adversarial networks. WSIs were assessed by BEDDLM using an ensemble approach, combining a “You Only Look Once” model followed by a ResNet101 classifier model. RESULTS: We included 489 WSIs. Consensus histopathology revealed 232 NDBE, 117 LGD, and 140 HGD WSIs. The mean age (SD) was 66.9 (11.4) years; 413 (84.7%) were men. Using the BEDDLM ensemble model, sensitivity and specificity for NDBE were 73.3% (95% confidence interval [CI]: 67.09%–78.85%) and 93.4% (95% CI: 89.62%–96.10%); for LGD, 84.6% (95% CI: 76.78%–90.62%) and 80.6% (95% CI: 76.26%–84.54%); and for HGD, 80.7% (95% CI: 73.19%–86.89%) and 94.8% (95% CI: 91.97%–96.91%), respectively. The F1 score was 0.81, 0 0.69, and 0.83 for NDBE, LGD, and HGD, respectively. DISCUSSION: Our externally validated deep learning model demonstrates substantial accuracy for the diagnosis of BE dysplasia grade on WSIs.

Abstract Background: Second generation androgen receptor signaling inhibitors (ARSIs), such as abiraterone, have demonstrated improved survival in metastatic castration-resistant prostate cancer (mCRPC) patients, however, acquired resistance to these agents often arises. Novel and alternative therapies are needed to combat the ARSI resistant tumor. In the last two decades patient-derived xenograft (PDX) and PDX organoids have become pivotal models in anticancer drug development and biomarker discovery due to their ability to faithfully recapitulate the complex and heterogeneous tumor biology. Methods: We analyzed RNAseq data from mCRPC patients and corresponding PDX models (PROMOTE study, NCT #01953640) and employed L1000 Chem Perturbation down/up signatures database to find candidate drugs to overcome abiraterone resistance by reverse signature search. We then performed proliferation assay using 49 compounds in three PROMOTE-PDX organoid models (2 abiraterone-resistant and 1 abiraterone-sensitive) using our semi high-throughput drug screening platform. Results: Overall, we identified a total of 32 compounds with IC50&lt;10µM in at least one of the models, among which, 5 agents are active in all three models and 5 in at least two of the models. (Table 1). Within active compounds we find selective kinase inhibitors (BRAF, JAK2, AKT, FLT3) and histone deacetylase inhibitors (belinostat and pracinostat). Particularly interesting are two drugs that are only active in the abiraterone resistant setting but not the sensitive PDX. Conclusions: In summary, we leveraged RNAseq data from mCRPC patients and PDX models and performed a high-throughput drug screen in PDX-derived organoid models to identify potential drugs that could overcome abiraterone-resistance in lethal advanced prostate cancer. These data highlight potential drug combinations or subsequent therapeutic strategies for these patients. Citation Format: Irene Marín-Goñi, Huanyao Gao, Joachim L. Petit, Shreya Indulkar, Adam M. Kase, Cassandra N. Moore, Krishna R. Kalari, Michael T. Barrett, Richard Weinshilboum, Winston Tan, John A. Copland, Liewei Wang. Overcoming resistance in mCRPC: drug discovery using PDX models and high-throughput drug screening [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5658.

INTRODUCTION: Current guidelines recommend endoscopic surveillance of Barrett's esophagus (BE) but do not account for competing mortality unrelated to esophageal cancer (EC). We conducted a systematic review and meta-analysis to estimate EC and non-EC mortality risk in BE patients. METHODS: We searched multiple databases for studies reporting mortality in BE. We included population-based studies providing standardized mortality ratio (SMR). The primary outcome was SMR from all causes and EC and non-EC etiologies. SMR was calculated by dividing the observed mortality over the expected mortality. Logarithmic form of SMRs was pooled using random-effects model. RESULTS: Our search yielded 2,826 articles, of which 7 studies (n = 34,454) were included. All-cause mortality was elevated in BE patients compared with population controls (pooled SMR 1.24, 95% confident interval [CI] 1.01–1.53) driven in part by increased EC mortality risk (SMR 8.98, 95 CI 5.12–15.77). The mortality risk was still increased but attenuated after excluding EC mortality (SMR 1.21, 95% CI 1–1.46). There was no increased mortality risk of non-EC malignancies (SMR 1.22, 95% CI 0.82–1.82) or mortality due to noncancer etiologies (SMR 1.13, 95% CI 0.90–1.43). Death due to cardiovascular diseases was higher in BE (SMR 1.16, 95% CI 1.02–1.33). BE patients were 10 times more likely to die from noncancer etiologies than EC (risk ratio 10.71, 95% CI 5.98–19.16). Subgroup analysis of studies that excluded prevalent EC at baseline (3 studies) also showed increased all-cause (SMR 1.12, 95% CI 1.07–1.18) and EC mortality (SMR 4.7, 95% CI 3.58–6.17) among BE patients. DISCUSSION: BE patients exhibit a higher all-cause mortality, driven in part by risk of EC mortality. A personalized approach to surveillance, mitigating risk of EC while recognizing the broader mortality risks, is warranted.

Background/Objectives: This study aimed to establish the clinical utility of a therapeutic drug monitoring (TDM)-supported, model-informed precision dosing (MIPD) approach (precision-guided dosing [PGD]) by assessing the impact of pharmacokinetic (clearance [CL]) and clinical laboratory parameters on adalimumab (ADA) dosage adjustments during maintenance therapy for inflammatory bowel disease (IBD). Methods: In the EMPOWER study, blood was collected at any time post-ADA injection. Pharmacokinetic (PK) testing was conducted in an accredited lab. Inputs for the PGD test included ADA concentrations, antibodies to ADA, albumin levels, and the current dosing regimen. CL was calculated using nonlinear mixed-effect models. Results were reported to health care providers (HCPs) within 3 days. HCPs’ treatment decisions were recorded and classified as treatment reduction, continuation, intensification, or ADA discontinuation. The physician global assessment (PGA) of disease activity was collected. Relationships between drug concentrations, CL, disease activity, and physician decision-making were assessed using logistic regression. Results: A total of 213 cases were assessed by 21 HCPs. ADA treatment was intensified in 24% and discontinued in 13% of cases. An ADA concentration ≤ 10 μg/mL was associated with a 23.7-fold and 3.0-fold higher likelihood of therapy intensification and PGA > 0, respectively, compared to concentrations > 10 μg/mL. An ADA concentration < 5 μg/mL was associated with a 3.3-fold higher likelihood of treatment discontinuation. CL ≥ 0.318 L/day was associated with a 10.4-fold higher likelihood of therapy intensification. Higher CL (>0.8 L/day) was associated with a 3.5-fold and 4.2-fold higher likelihood of treatment discontinuation and PGA > 0, respectively. Conclusions: PGD enables earlier and precise optimization of ADA dosing by predicting trough levels at any time during the therapy cycle. Optimized dosing to achieve target ADA concentrations and low clearance is crucial to mitigate therapy discontinuation and active disease in IBD patients.