Skip to content
#software testing Open access

OA08.4. Spatial Transcriptomic Analysis of Non-Dysplastic Barrett's Esophagus From Patients Who Did and Did Not Progress to Advanced Disease

Aug 2026 · Diseases of the esophagus · 0 citations

TL;DR

This study suggests early remodeling of the stromal microenvironment and possible differences in the immune makeup with increased myeloid numbers and activation in progressors in patients who progress.

Abstract

Esophageal Cancer: Molecular Biology/Pathology Barrett's esophagus forms and progresses in the setting of chronic inflammation and repeated bouts of tissue damage and regeneration. It has long been speculated the stromal and inflammatory background in Barrett's esophagus contribute to progression, but the cells and pathways exerting this influence are poorly understood. Using a subset of a well clinically annotated cohort of patients with a baseline diagnosis of non-dysplastic Barrett's esophagus and known progression history we performed spatially resolved whole transcriptome analysis using the Nanostring (now Bruker) GeoMx digital spatial profiler. In total 25 patients who later progressed to more advanced disease and 20 patients who did not were analyzed. The selected regions of interest were segmented into epithelial and stromal compartments based on cytokeratin immunostaining and were analyzed separately. Standard quality control and processing of the data was performed using the GeoMx analysis software. For differential gene expression analysis, a linear mixed model (adjusted pvalues< 0.05) and Benjamin Hackenberg multiple testing correction were used. The differential gene expression data was then used to perform Reactome pathway analysis. To estimate cell type composition the SpatialDecon (v1.3) package on the GeoMx analysis suite using the safeTME for tumor reference dataset was used. After all quality control and filtering, 168 epithelial areas of interest (84 from patients who progressed and 75 from patients who did not) were profiled, and 158 stromal areas of interest (86 from progressors and 72 from non-progressors) were profiled. For the epithelium, genes enriched in progressors or non-progressors were mostly involved in cell states and differentiation, except for potential immune-associated genes REG4 and ANPEP. In progressors, pathways related to EMT, MYC signaling, inflammatory and interferon response, and reactive oxygen species were upregulated. In the stroma, ~200 genes were differentially expressed, although the overall effect size was small for most. Several stromal/fibroblast related genes (FBLN1, COL1A1/2, COL6A2, LUM, and IGFBP7) and immune related genes (B2M, HLA-DRA, and C1GC) were upregulated in progressors. Neutrophil degranulation, interleukin and interferon signaling, and pathways associated with stromal remodeling were upregulated in progressors. Macrophage, NK cell, and fibroblast numbers were increased in progressors. Even in histologically non-dysplastic Barrett's esophagus years before progression, some differences in immune and stromal organization pathways can be seen in patients who will later progress compared to those who did not. This study suggests early remodeling of the stromal microenvironment and possible differences in the immune makeup with increased myeloid numbers and activation in progressors. Our (not yet proven) working hypothesis is that in patients who progress, increased neutrophil activation leads to the release of DNA-damaging reactive oxygen species, driving genomic evolution, and increased macrophages promote stromal remodeling to a microenvironment supportive of progression.

Read PDF

Similar papers

#software testing Review Aug 2026

Model-Based Agentic Software Engineering

MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.

James C. Davis, Kelechi G. Kalu, Huiyun Peng et al. · 1 citation
#software testing Preprint Aug 2026

Evaluating Inference-Time Defenses Against Package Hallucination in LLM-Generated Code

LLMs are increasingly used for code generation, yet they frequently hallucinate non-existent software packages, creating exploitable entry points into the software supply chain. We make four contributions to this problem. First, we show that prior evaluation methodologies systematically inflate hallucination rates by misclassifying standard-library modules as hallucinations in some languages. For Python, the overestimation reaches 9.4 percentage points. Second, we evaluate seven inference-time defenses for mitigating package hallucinations, including five guided decoding strategies (Greedy, Contrastive, DoLa, Nudging, and Active Layer-Contrastive Decoding), an iterative self-refinement approach (Self-Refine), and a Retrieval-Augmented Generation (RAG)-based defense.. Across eight models spanning five families and four programming languages (Python, JavaScript, Ruby, Rust), RAG reduces the package hallucination rate (PHR) in 18 of 32 model--language configurations. Third, we introduce Package Utility (PU) to assess whether defenses preserve valid and task-relevant recommendations. Among strategies evaluated, Greedy decoding provides the strongest average mitigation--utility trade-off. Fourth, we stress-test all strategies under adversarial prompts seeded with fabricated package names and find that PHR surges by up to 45 percentage points relative to standard prompts, with Ruby consistently the most vulnerable language (80.9--95.2\%). Under adversarial conditions, RAG and Self-Refine outperform all decoding-only strategies, indicating that robust defense requires either external grounding or iterative self-verification when prompts are actively hostile. Our results recast package hallucination as both a measurement problem and a decoding-time control problem, and they demonstrate that the choice of defense must be matched to the threat model and recommendation utility.

Albérick Euraste Djiré, Iyiola E. Olatunji, Melissa Tessa et al. · 1 citation
#software testing Open access Aug 2026

HawkEye: Web Vulnerability Analysis and Security Audit Tool

HawkEye is introduced, a modular, web-based vulnerability auditing platform designed to streamline security analysis by integrating multiple scanning tools within a unified dashboard and illustrates how consolidated reporting improves vulnerability prioritization for development teams.

D. R. Patil, Varad Salgare, Devaj Arya et al. · 0 citations
#software testing Review Open access Sep 2026

Application for Tracking Bugs in Software Development: Improving Project Management Efficiency

By streamlining workflows and fostering collaboration, this platform offers a scalable, cost- effective solution for SMEs and contributes to software engineering by demonstrating how integrated technologies can modernize development processes in resource limited contexts, with potential for broader adoption in Albania and beyond.

Griselda Belba TRUPJA, Agim Kasaj · 0 citations
#software testing Open access Sep 2026

Prevalence of non-union complication in femoral shaft fracture patients who underwent IM nailing surgery in Fatemi Hospital Ardabil.

The findings of the present study indicated that potential complications such as delayed union, nonunion, and osteomyelitis in the intramedullary nailing method are approximately comparable to those of the external fixator method.

Reza Noktesanj, Ali Nami, F. Amani et al. · 0 citations

Related blog posts

MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.