BetaEntity Annotation Prototype
← Back to institutions

Annotated abstract

1091 Decoding clinical and molecular determinants of tertiary lymphoid structure heterogeneity in pancreatic cancer by integrating multimodal spatial transcriptomics, proteomics, and histopathology imaging

jitc · 2025-11-04 · canonical JSON source

3 visible annotations · policy: published · automated confidence ≥ 75.00%

Document resource

Background Pancreatic ductal adenocarcinoma (PDAC) is a malignant neoplasm of the pancreas characterized by late-stage detection, with few treatment options and prognostic biomarkers. Tertiary lymphoid structures (TLS) have been found to be predictive of survival in PDAC, however, their phenotypic heterogeneity, functional significance, and relationship to genomic and transcriptomic subtypes remain poorly understood.Methods Using TLS histopathology detection methods we identified TLS across a cohort of over 600 patients and linked their presence to matched genomics and clinical metadata. We generated GeoMx spatial transcriptomics data for 13 PDAC patients with over 200 regions of interest (ROIs) focused on TLS and tumour. We stained and digitized matched whole-slide hematoxylin and eosin (H&E) images and single-cell spatial proteomic data using Imaging Mass Cytometry (IMC) on serial sections of the same ROIs profiled with GeoMx. Using unsupervised clustering and differential expression analyses we characterized TLS into subgroups.Results We show that we can automate TLS detection in H&E from primary tumour resections and liver metastases biopsies. We quantified the percentage of PDAC samples with TLS, the number of TLS per patient and linked their presence to PDAC transcriptomic subtypes, genomic aberrations and patient metadata. We identified three distinct TLS subgroups based on whole-transcriptome TLS expression profiles, and find that TLS subgroup identity is determined by tumour proximity, and specific pathway activation within the adjacent tumour. Finally, we use IMC to deconvolve the single cell content of each subgroup.Conclusions TLS are a known prognostic factor in PDAC, however, they have never been thoroughly characterized or linked to genomic and transcriptomic PDAC subtypes. We find previously unappreciated heterogeneity in TLS phenotypes and link these to tumour phenotypes in what is the most comprehensive characterization of TLS to date.Ethics Approval Samples were taken from previous studies with patient informed consent and approval from Institutional Review or Research Ethics Boards (REB # 20-0170-E, Sinai Health).