Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics

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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Publication Details

Journal
Nature Communications
Published
2024-12-30
DOI
https://doi.org/10.1038/s41467-024-54761-6
Citations
9
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
2.54

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article

Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics

Mallesh Pandrala, Aris J. Kare, Ryan L. Brunsing, Andrei Iagaru et al.
9 citations
Nature Communications
Pancreatic and Hepatic Oncology Research
2.54
article

Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics

Mallesh Pandrala, Aris J. Kare, Ryan L. Brunsing, Andrei Iagaru, Nisi Zhang, Katherine W. Ferrara, Marina N. Raie, Gregory W. Charville, Spencer K. Tumbale, Laura D. Attardi, Xiaoxu Zhong, Jai Woong Seo, Bo Wu, Guillem Pratx, Martin Schneider, Sofia Ferreira, Walter G. Park, Gokce Engudar, James Wang, Yutong Guo
article en
9 citations

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.

Nature CommunicationsVol. 15(1)
Stanford University (US)
National Institute for Health and Care Research, National Institutes of Health, University of California, Davis, National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 8%
Pancreatic and Hepatic Oncology Research
2.54
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