Biology subjects

Woodward, W.

Publications and source records attributed to Woodward, W..

3 recordsLinked to original sources

bioRxiv2026

Tumor emboli-associated adaptive stress response signatures identify aggressive disease features in inflammatory breast cancer

Inflammatory breast cancer (IBC) is an aggressive breast cancer subtype characterized by tumor emboli, lymphovascular invasion (LVI), and early dissemination. Herein, we establish adaptive stress response (ASR) as a biologic feature linking stress adaptation to tumor emboli survival, lymphatic dissemination, therapeutic response, and disparities. Using a previously defined 226 ASR-related genes, complementary preclinical models of tumor emboli and lymphatic circulating cell clusters, and independent patient cohorts, we identified ASR genes enriched for XIAP-NF{kappa}B, oxidative stress response, inflammatory, and immune pathways. CXCL8 emerged as one of the most highly upregulated transcripts in tumor emboli and was shared across both models; however, CXCL8, IL6, and PTGS2 were downregulated in lymphatic circulating cell clusters and LVI-positive triple-negative IBC patients, suggesting dynamic remodeling of inflammatory signaling during dissemination. CYP4B1 was associated with ER status, LVI, and therapeutic response across multiple cohorts, implicating metabolic stress adaptation in dissemination. IL6 and PTGS2 were elevated in self-reported Black patients with triple-negative IBC compared to White patients. Pharmacologic inhibition of XIAP-NF{kappa}B and oxidative stress pathways suppressed tumor emboli formation. Collectively, these findings identify ASR signaling as a framework linking tumor emboli survival, dissemination, and therapeutic vulnerability in IBC.

cancer biology↗

bioRxiv2025

Soluble E-cadherin Drives Brain Metastasis in Inflammatory Breast Cancer

The brain is a common site of relapse in inflammatory breast cancer (IBC), an E-cadherin positive, aggressive form of breast cancer. We found that elevated serum levels of soluble E-cadherin (sEcad), an 80-kDa fragment of E-cadherin, in patients with metastatic IBC correlated with poorer outcomes and increased rates of brain metastases. In our effort to understand the underlying mechanism, we discovered that sEcad binds to XIAP, an inhibitor of cell death, activating the pro-survival NF-k{beta} signaling in tumor cells. We also discovered that sEcad affects the tumor cell microenvironment by enhancing cancer cell adhesion to endothelial cells and inducing reactive astrocytosis in the brain. In addition, we found that sEcad-mediated reactive astrocytosis relies on the CXCL1/CXCL8-CXCR2 axis and treatment with a brain-permeable CXCR2 antagonist reduced brain metastatic burden and prolonged survival. These findings implicate sEcad in brain metastasis and provide new insights into potential therapeutic targets for IBC. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/660428v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@10a7c47org.highwire.dtl.DTLVardef@1653278org.highwire.dtl.DTLVardef@d4787corg.highwire.dtl.DTLVardef@132489b_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIHigh serum sEcad levels correlate clinically with poor survival outcomes and development of brain metastasis C_LIO_LIsEcad drives IBC brain metastasis growth in mouse models C_LIO_LIsEcad binds XIAP to activate NFkB and promote anoikis resistance and invasion of IBC cells C_LIO_LIsEcad activates reactive astrocytes and induces CXCR2 expression on tumor cells in vitro and in vivo C_LIO_LICXCR2-IN-1, a brain-permeable CXCR2 antagonist, reduces metastasis and improves survival in IBC brain metastasis models C_LI

cancer biology↗

bioRxiv2020

Gene expression profiles of inflammatory breast cancer reveal high heterogeneity across the epithelial-hybrid-mesenchymal spectrum

Inflammatory breast cancer (IBC) is a highly aggressive breast cancer that metastasizes largely via tumor emboli, and has a 5-year survival rate of less than 30%. No unique genomic signature has yet been identified for IBC nor has any specific molecular therapeutic been developed to manage the disease. Thus, identifying gene expression signatures specific to IBC remains crucial. Here, we compare various gene lists that have been proposed as molecular footprints of IBC using different clinical samples as training and validation sets and using independent training algorithms, and determine their accuracy in identifying IBC samples in three independent datasets. We show that these gene lists have little to no mutual overlap, and have limited predictive accuracy in identifying IBC samples. Despite this inconsistency, single-sample gene set enrichment analysis (ssGSEA) of IBC samples correlate with their position on the epithelial-hybrid-mesenchymal spectrum. This positioning, together with ssGSEA scores, improves the accuracy of IBC identification across the three independent datasets. Finally, we observed that IBC samples robustly displayed a higher coefficient of variation in terms of EMT scores, as compared to non-IBC samples. Pending verification that this patient-to-patient variability extends to intratumor heterogeneity within a single patient, these results suggest that higher heterogeneity along the epithelial-hybrid-mesenchymal spectrum can be regarded to be a hallmark of IBC and a possibly useful biomarker.

cancer biology↗