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Biology subjects

Conway, J. R. W.

Publications and source records attributed to Conway, J. R. W..

6 recordsLinked to original sources

Pancreatic cancer cells breach endothelial barriers through protrusion-driven invasion or endothelial retraction

Extravasation, the exit of circulating cancer cells from blood vessels, is a critical yet poorly understood step in metastatic dissemination. Here we show that pancreatic ductal adenocarcinoma (PDAC) cells can breach endothelial barriers through two mechanistically distinct modes of extravasation. MIA PaCa-2 cells breach endothelial junctions via filopodia-like protrusions, enabling access to and spread across the basal extracellular matrix (ECM). By contrast, AsPC-1 cells remain rounded atop the endothelium and cross the barrier by triggering rapid retraction of neighbouring endothelial cells. These distinct extravasation modes were also observed in zebrafish larvae. In the mouse lung, AsPC-1 cells arrest, survive, induce endothelial detachment from the basal lamina, and extravasate through this retraction mechanism before metastatic outgrowth. Mechanistically, AsPC-1-secreted factors are sufficient to destabilise endothelial monolayers, and AsPC-1 cells also induce endothelial apoptosis; however, blocking apoptosis does not prevent barrier disruption. By contrast, treatment with saracatinib, a Src-family kinase inhibitor, protects endothelial barriers, limits early vascular disruption in the lung, and delays metastatic outgrowth. Together, these findings reveal that PDAC cells can extravasate via mechanistically distinct routes, suggesting that effective anti-metastatic strategies may need to target multiple modes of endothelial barrier breach rather than a single pathway.

cell biology↗

Restoring mechanophenotype reverts malignant properties of ECM-enriched vocal fold cancer

Increased extracellular matrix (ECM) and matrix stiffness promote solid tumor progression. However, mechanotransduction in cancers arising in mechanically active tissues remains underexplored. Here, we report upregulation of multiple ECM components accompanied by tissue stiffening in vocal fold cancer (VFC). We compare non-cancerous (NC) and patient- derived VFC cells - from early (mobile, T1) to advanced-stage (immobile, T3) cancers - revealing an association between VFC progression and cell-surface receptor heterogeneity, reduced laminin-binding integrin cell-cell junction localization and a flocking mode of collective cell motility. Mimicking physiological movement of healthy vocal fold tissue (stretching/vibration), decreases oncogenic nuclear {beta}-catenin and YAP levels in VFC. Multiplex immunohistochemistry of VFC tumors uncovered a correlation between ECM content, nuclear YAP and patient survival, concordant with VFC sensitivity to YAP-TEAD inhibitors in vitro. Our findings present evidence that VFC is a mechanically sensitive malignancy and restoration of tumor mechanophenotype or YAP/TAZ targeting, represents a tractable anti-oncogenic therapeutic avenue for VFC.

cell biology↗

EPLINα controls integrin recycling from Rab21 endosomes to drive breast cancer cell migration

EPLIN, an actin-binding protein, has been described as both a tumour promoter and tumour suppressor in different cancers. EPLIN isoform( or {beta})-specific functions, which remain largely unknown, could explain these opposing roles. We observed distinct EPLIN-isoform localization; EPLIN is recruited to actin in plasma membrane ruffles and endosomes, while EPLIN{beta} resides on actin stress fibers. We identified two EPLIN actin-binding regions and demonstrated EPLIN interaction with Rab21, an established regulator of {beta}1-integrin endosomal traffic. EPLIN co-localizes with Rab21 and F-actin on recycling endosomes in an actin binding-dependent manner and supports {beta}1-integrin recycling and cell migration. Using BioID, we identified coronin 1C as an EPLIN proximal protein, which localizes at Rab21-containing endosomes in an EPLIN-dependent manner. EPLIN expression was linked to increased breast cancer cell motility, and high EPLIN-to-EPLIN{beta} ratio correlated with a mesenchymal phenotype in patient samples. Our work unveils unprecedented EPLIN isoform-specific functions relevant to breast cancer and beyond.

cell biology↗

Targeting a broad spectrum of KRAS-mutant cancers by hyperactivation-induced cell death

The KRAS oncogene drives many common and highly fatal malignancies. These include pancreatic, lung, and colorectal cancer, where numerous different activating KRAS mutations have made the development of KRAS inhibitors difficult. Here we identify the scaffold protein SH3 and multiple ankyrin repeat domain 3 (SHANK3) as a RAS interactor that binds overactive mutant forms to limit oncogenic KRAS signalling and maintain RAS- activity at an optimal level. Depletion of SHANK3 results in hyperactivation of KRAS/mitogen-activated protein kinase (MAPK) signalling, which in turn selectively induces MAPK/ERK-dependent cell death in KRAS-mutant cancers. Furthermore, targeting of this therapeutic vulnerability through nanobody- or RNA interference- mediated disruption of the SHANK3-KRAS interaction reduces tumour growth in vivo. Thus, inhibition of the SHANK3-KRAS interaction represents a new pan-KRAS-mutant compatible strategy for selective killing of KRAS- mutant cancer cells through excessive signalling. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=190 SRC="FIGDIR/small/508660v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@87e71forg.highwire.dtl.DTLVardef@56cf94org.highwire.dtl.DTLVardef@1561136org.highwire.dtl.DTLVardef@183f711_HPS_FORMAT_FIGEXP M_FIG C_FIG Schematic model of SHANK3-controlled cell fate in KRAS-mutant cancers. SHANK3 directly interacts with KRAS and competes with RAF for KRAS binding to sustain oncogenic RAS-MAPK/ERK signalling at an optimal level (i.e. below toxic oncogenic signalling) in KRAS-mutant cancers. SHANK3 silencing (1) and inhibition of SHANK3-KRAS interaction (2) drive KRAS-mutant cells into cell death.

cancer biology↗

Bringing TrackMate in the era of machine-learning and deep-learning.

TrackMate is an automated tracking software used to analyze bioimages and distributed as a Fiji plugin. Here we introduce a new version of TrackMate rewritten to improve performance and usability, and integrating several popular machine and deep learning algorithms to improve versatility. We illustrate how these new components can be used to efficiently track objects from brightfield and fluorescence microscopy images across a wide range of bio-imaging experiments.

bioinformatics↗

A feed-forward loop between SorLA and HER3 determines heregulin response and neratinib resistance

Current evidence indicates that resistance to HER2-targeted therapies is frequently associated with HER3 and active signaling via HER2-HER3 dimers, particularly in the context of breast cancer. Thus, understanding the response to HER2-HER3 signaling and the regulation of the dimer per se remains essential to decipher therapy relapse mechanisms. Here, we demonstrate that signaling by HER3 growth factor ligands, heregulins, support the transcription of a type-1 transmembrane sorting receptor, sortilin-related receptor (SorLA; SORL1) downstream of the mitogen-activated protein kinase pathway. In addition, we demonstrate that SorLA interacts directly with HER3, forming a trimeric complex with HER2 and HER3 to attenuate lysosomal degradation of the dimer through a Rab4-dependent manner. In line with a role for SorLA in supporting the stability of the HER2 and HER3 receptors, loss of SorLA compromised heregulin-induced cell proliferation and sensitized metastatic anti-HER2 therapy-resistant breast cancer cells to neratinib in cancer spheroids in vitro and in vivo in a zebrafish brain xenograft model. Collectively, our results demonstrate a novel feed-forward loop consisting of heregulin, HER2-HER3 and SorLA, which controls breast cancer growth and anti-HER2 therapy resistance in vitro and in vivo. SignificanceHER3 signaling, through ERK/MAPK, upregulates SorLA and SorLA controls the trafficking and stability of HER3 to support cancer proliferation and neratinib resistance.

cancer biology↗