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Caffrey, T. C.

Publications and source records attributed to Caffrey, T. C..

2 recordsLinked to original sources

An Iron-regulated Signalling Pathway Controls Adipose Browning and Cancer Cachexia

The browning and atrophy of white adipose tissue (WAT) are early events in cachexia, a lethal metabolic disorder affecting nearly half of cancer patients, including those with pancreatic ductal adenocarcinoma (PDA). Using patient-derived specimens and PDA mouse models, we identified perturbations in iron metabolism and proteinaceous methionine oxidation as key initiating events of adipose browning. In particular, the iron influxes that accompany WAT browning induce the activity of methionine sulfoxide reductase A (MSRA), an enzyme that reverses the oxidation of proteinaceous methionine residues. Mechanistically, iron coordination by the conserved iron-binding motifs (E203-xx-H206) of two MSRA polypeptides serves to multimerize, stabilize, and enzymatically activate MSRA. This in turns facilitates adipose browning by maintaining the reduced state of two methionines near the ATP-binding site of Protein Kinase A (PKA). Remarkably, in mouse models of PDA, MsrA deletion impairs WAT browning, significantly mitigates cachexia, and improves the overall survival of tumor-bearing animals. By establishing the iron-MSRA-PKA axis as a key nexus of cancer-associated cachexia, our study offers new perspectives for the treatment of this condition.

cancer biology↗

AI-powered Deep Visual Proteomics reveals critical molecular transitions in pancreatic cancer precursors

Pancreatic ductal adenocarcinoma (PDAC) evolves through non-invasive precursor lesions, yet its earliest molecular events remain unclear. We established the first spatially resolved proteomic atlas of these lesions using Deep Visual Proteomics (DVP). AI-driven computational pathology classified normal ducts, acinar-ductal metaplasia (ADM), and pancreatic intraepithelial neoplasia (PanIN) from cancer-free organ donors (incidental, "iPanINs") and PDAC patients (cancer-associated, "cPanINs"). Laser microdissection of 96 discrete regions containing as few as 100 phenotypically matched cells and ultrasensitive mass spectrometry quantified a total of 8,512 proteins from formalin-fixed tissues. Distinct molecular signatures stratifying cPanINs from iPanINs, and remarkably, many cancer-associated proteins already marked histologically normal epithelium. Four core programs - stress adaptation, immune engagement, metabolic reprogramming, mitochondrial dysfunction - emerged early and intensified during progression. By integrating DVP with AI-guided tissue annotation, we demonstrate that molecular reprogramming precedes histological transformation, creating opportunities for earlier detection and interception of a near-uniformly lethal cancer. SignificanceOur spatially-resolved proteomics atlas uncovers distinct molecular signatures in pancreatic cancer adjacent precursor lesions, clearly diverging from those in incidental, cancer-free pancreatic lesions. Our deep proteomics dataset offers a valuable resource for identifying novel biomarkers and therapeutic targets, informed by the earliest cancer-associated molecular events in archival pancreatic tissues.

cancer biology↗