ArticleNature communications2024
Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Systems medicine: total body positron emission tomography meets omics.The British journal of radiology · 2026Review
- Next-generation molecular imaging of cardiac fibrosis.The international journal of cardiovascular imaging · 2026Review
- Review
- Recent advances of cyanine dyes in tumor theranostics: molecular modification, delivery strategies, and synergistic mechanisms.RSC advances · 2026Review
- Tumour Microenvironment-Informed Radiotheranostics: Why and How Nuclear Medicine Could Advance Precision Oncology in the Decade Ahead.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Tumor Microenvironment-Responsive Nanoparticles for Pancreatic Cancer Imaging and Treatment.International journal of nanomedicine · 2026Review
- Finding spatially variable ligand-receptor interactions with functional support from downstream genes.Nature communications · 2025Article
- Polydopamine Powered Droplet Electricity Generator for Protein Assay with CRISPR/Cas Enabled Amplification.Nano letters · 2025Article
- Nanomaterial-assisted pancreatic cancer theranostics.Regenerative biomaterials · 2025Review
- Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics.Nature communications · 2024Article
- Beyond fluorodeoxyglucose: Molecular imaging of cancer in precision medicine.CA: a cancer journal for cliniciansReview
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Authors and funding
20 authors.
Funding
Abstract
Molecular imaging using positron emission tomography (PET) provides sensitive detection and mapping of molecular targets. While cancer-associated fibroblasts and integrins have been proposed as targets for imaging of pancreatic ductal adenocarcinoma (PDAC), herein, spatial transcriptomics and proteomics of human surgical samples are applied to select PDAC targets. We find that selected cancer cell surface markers are spatially correlated and provide specific cancer localization, whereas the spatial correlation between cancer markers and immune-related or fibroblast markers is low. Claudin-4 expression increases ~16 fold in cancer as compared with normal pancreas, and tight junction localization confers low background for imaging in normal tissue. We develop a peptide-based molecular imaging agent targeted to claudin-4 with accumulation to ~25% injected activity per cubic centimeter (IA/cc) in metastases and ~18% IA/cc in tumors. Our work motivates a data-driven approach to selection of molecular targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.