Supplementary Figures S1-S12 from AI-Powered Deep Visual Proteomics Reveals Critical Molecular Transitions in Pancreatic Cancer Precursors
Year: 2026
Type: supplementary-materials
Abstract: Fig. S1 | Cohort overview Fig. S2 | Study quality control overview Fig. S3 | Mass spectrometry performance across processing batches Fig. S4 | Intra-patient regional variation in TP53 and DCLK1 protein abundance Fig. S5 | Distinct protein abundance patterns across pancreatic tumorigenesis Fig. S6 | Detailed protein abundance patterns associated with key molecular programs underlying the cancer field effect and multistep pancreatic neoplasia Fig. S7 | Metabolic reprogramming in PanIN lesions Fig. S8 | PDAC lineage markers across the investigated trajectory Fig. S9 | Integration of spatial proteomics and transcriptomics data on the PDAC tumorigenesis Fig. S10 | Orthogonal validation of protein markers by multiplex immunofluorescence (mIF) staining Fig. S11 | Proteomics- and digital droplet PCR (ddPCR)-based identification of altered KRAS peptides Fig. S12 | Systematic exploration of image clustering parameters using H-optimus-0
Authors: Jimin Min, Lisa Schweizer, Gijs Zonderland, Benson Chellakkan Selvanesan, Julie H. Thomsen, Lukas Oldenburg, Seong-Woo Bae, Bongjun Kim, Sharía D. Hernández, Gabriela Jez, Vincent Bernard, Benjamin J. Swanson, Kelsey A. Klute, Huamin Wang, Thomas C. Caffrey, Paul M. Grandgenett, Michael A. Hollingsworth, Ishani Ummat, Maximilian T. Strauss, Andreas Mund, Anirban Maitra
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7166803956
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