A. Tsirigos

Clonal heterogeneity in human pancreatic ductal adenocarcinoma and its impact on tumor progression.

Splenic extramedullary hematopoiesis in myelofibrosis is shaped by transcriptomic and epigenetic dysregulation.

Myelofibrosis (MF) is a chronic, progressive myeloproliferative neoplasm characterized by bone marrow fibrosis, ineffective blood cell production, and neoplastic extramedullary hematopoiesis (EMH) occurring primarily within the spleen. To explore the molecular mechanisms underlying splenic EMH, we performed single-cell...

Type 2 immune history trains lung macrophages for viral disease tolerance.

Severe respiratory viral disease varies widely among individuals and often reflects immunopathology rather than inadequate pathogen control, suggesting that previous immune history can prime the lungs towards disease tolerance. Here we show that nerve- and airway-associated macrophages (NAMs), a subset of interstitial...

Abstract PR015: Clonal Heterogeneity in Human Pancreatic Ductal Adenocarcinoma and Its Impact on Tumor Progression

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer characterized by profound desmoplasia and cellular heterogeneity, which cannot be fully resolved using traditional bulk sequencing approaches. To understand how this heterogeneity contributes to PDAC biology, we analyzed a large cohort of primary tumors...

Spatially resolved tissue architecture and computational pathology in pancreatic cancer

This review highlights emerging evidence from spatial profiling studies demonstrating that PDAC and its precursor lesions are not just a simple mixture of malignant and stromal cells but rather a structured ecosystem with spatially distinct immune and fibroblast niches.

Genome Profiling of Actionable Cancer Targets (NYU LG-PACT) for Clinical Patient Molecular Diagnostics and Treatment

The technical challenges of validating an NGS oncological diagnostic targeted assay for clinical grade accuracy and sensitivity for patient care are presented and how copy number alterations provide a more comprehensive description of the tumors genomic profile are shown.

Vision-Language Models for Image-Based Dietary Assessment: A Benchmark of Accuracy, Cost, and Prompt Strategies Across Ten Models

Current VLMs can perform automated dietary assessment with reasonable accuracy from single overhead photographs and highlight remaining challenges in calorie estimation and component detection for complex, multi-item meals.