AI Article Synopsis
- - This study utilizes spatial transcriptomics and proteomics to identify surface receptor targets for imaging and treatment of pancreatic cancer, highlighting the potential for this method to be applied to various cancers
- - The research found a strong correlation between cancer-specific markers and identified claudin-4 as a promising target for molecular imaging and therapy, showing a significant increase in expression in cancer tissue compared to normal pancreas
- - A peptide-based imaging agent targeting claudin-4 demonstrated substantial accumulation in cancer lesions, pointing to an innovative approach for selecting effective molecular targets for cancer diagnostics and treatment
Article Abstract
We apply spatial transcriptomics and proteomics to select pancreatic cancer surface receptor targets for molecular imaging and theranostics using an approach that can be applied to many cancers. Selected cancer surfaceome epithelial markers were spatially correlated and provided specific cancer localization, whereas the spatial correlation between cancer markers and immune- cell or fibroblast markers was low. While molecular imaging of cancer-associated fibroblasts and integrins has been proposed for pancreatic cancer, our data point to the tight junction protein claudin-4 as a theranostic target. Claudin-4 expression increased ∼16 fold in cancer as compared with normal pancreas, and the tight junction localization conferred low background for imaging in normal tissue. We developed a peptide-based molecular imaging agent targeted to claudin-4 with accumulation to ∼25% injected activity per cc (IA/cc) in metastases and ∼18% IA/cc in tumors. Our work motivates a new approach for data-driven selection of molecular targets.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10798647 | PMC |
| http://dx.doi.org/10.1101/2024.01.07.574209 | DOI Listing |
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