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Bridge, K. S.

Publications and source records attributed to Bridge, K. S..

6 recordsLinked to original sources

Aberrant splicing of MBD1 reshapes the epigenome to drive convergent myeloerythroid defects in MDS

Myelodysplastic neoplasms (MDS) feature hematopoietic deficits driven in part by transcript splicing abnormalities. Thus far, such disease-driving transcripts have been identified in association with specific splicing factor mutations. However, it remains unclear whether there also exists a set of disease-wide conserved pathological transcripts, which drive MDS independently of mutational status. Here, we characterize an MDS-associated long isoform of MBD1 (MBD1-L) as the first described member of this class of transcripts. Overexpression of MBD1-L in healthy human HSPCs recapitulates archetypal defects of MDS including deficits in erythroid differentiation and reconstitution capacity. These defects arise from an isoform-specific switching of MBD1s binding behavior, refocusing its heterochromatin-promoting activity from methylated to unmethylated CpGs and enacting broad downregulation of CpG-rich promoters as well as secondary epigenetic effects mediated by its downstream target BCOR. Remarkably, we also find that directly reversing abnormal MBD1 splicing in primary human MDS using nanoparticle-encapsulated ASOs enhances erythroid differentiation. Key pointsO_LIGlobal mis-splicing of MBD1 represents a novel gain-of-function epigenetic axis driving erythropoietic and proliferative defects in MDS. C_LIO_LIASO based depletion of pathogenic MBD1 transcripts restores erythroid differentiation, advancing RNA-based therapies for MDS. C_LI

cancer biology↗

An ERα-Dependent Hypoxia Response Defines EMT-Adjacent Tumour Regions and Suppresses the Pro-survival Effects of Amiloride in Estrogen Receptor-Positive Breast Cancer

Estrogen receptor-positive (ER+) breast cancer carries a lifelong risk of recurrence and disease progression, with hypoxia-associated transcriptional signatures linked to poor prognosis and therapy resistance. While the effects of hypoxia on tumour progression are well studied, the impact on ER epigenomic regulation remains poorly characterised. Here, we demonstrate that activation of hypoxia-inducible factors (HIFs) dramatically remodels ER chromatin localisation in ER+ breast cancer cells. Transcripts of genes located near hypoxia-induced ER binding sites are significantly associated with reduced recurrence-free survival in breast cancer patients. Transcriptomic profiling under hypoxic conditions (1% oxygen), with and without ER depletion by fulvestrant, revealed a hypoxia-induced, ER-dependent gene expression programme, including upregulation of epithelial sodium channel (ENaC) regulatory subunits that results in acquired sensitivity to the ENaC inhibitor amiloride. Notably, this transcriptional response is spatially correlated with the epithelial-to-mesenchymal hallmark in patient tumours. Our findings establish an interdependence between ER signalling and the hypoxic response, and present functional evidence that ER reprogramming offers novel therapeutic opportunities that bypass the need to directly target the hypoxic response.

cancer biology↗

Label-free DIA-NN enabled RIME (DIANNeR) reveals glucocorticoid receptor interaction networks in breast, bladder, and blood across normaluntransformed cells, cancer cell lines, and PDXs

Understanding how transcription factors execute tissue-specific programmes requires defining their protein interaction networks in physiologically relevant contexts. However, profiling normal untransformed cells presents fundamental challenges due to intrinsically limited input material. To meet this challenge we integrated data-independent acquisition (DIA), ion mobility separation, and library-free analysis to achieve a 2-fold increase in detection without loss in enrichment. Applied to the glucocorticoid receptor (GR), a ubiquitously expressed nuclear receptor driving pleiotropic responses to standard-of-care anti-inflammatory therapeutics, DIANNeR (DIA-NN enabled RIME) resolves distinct, context-dependent networks across breast, ureter and blood in normal and transformed contexts. Key findings include: detection of a HOXA5-GR interaction in normal epithelium which was undetected in malignant models; an epithelial-restricted SMARCD3-GR interaction with prognostic relevance; and a FOXP3-BCL11B-GR network in primary CD4+ T cell populations undetected by data dependant acquisition (DDA). By defining normal GR tissue interactomes, DIANNeR provides the essential comparator for interpreting network rewiring that drives disease.

cancer biology↗

Identification of robust RT-qPCR reference genes for studying changes in gene expression in response to hypoxia in breast cancer cell lines

Hypoxia is common in breast tumours and is linked to therapy resistance and advanced disease. To understand hypoxia-driven breast cancer progression, RT-qPCR quantifies transcriptional changes important for malignant development. Reference genes (RGs) are endogenous RT-qPCR controls used to normalise mRNA levels, allowing accurate assessment of transcriptional changes. However, hypoxia reprograms transcription and post-transcriptional processing of RNA such that favoured RGs including GAPDH or PGK1 are unsuitable for this purpose. To address the need for robust RGs to study hypoxic breast cancer cell lines, we identified 10 RG candidates by analysing public RNA-seq data of MCF-7, T-47D, MDA-MB-231 and MDA-MB-468 cells cultured in normoxia or hypoxia. RT-qPCR determined RG candidate levels in normoxic breast cancer cells, removing TBP and EPAS1 from downstream analysis due to insufficient transcript abundance. Assessing primer efficiency further removed ACTB, CCSER2 and GUSB from consideration. Following culture in normoxia, or acute or chronic hypoxia, we ascertained robust non-variable RGs using RefFinder. Here we present RPLP1 and RPL27 as optimal RGs for breast cancer cell lines cultured in normoxia or hypoxia. Our result enables accurate evaluation of gene expression in hypoxic breast cancer cell lines and provides an essential resource for assessing hypoxias impact in breast cancer progression. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/606329v2_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@188a16forg.highwire.dtl.DTLVardef@11eb9aborg.highwire.dtl.DTLVardef@2f914eorg.highwire.dtl.DTLVardef@ecad85_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Hypoxia-Inducible Factor-1 activated by PIM1 assembles a non-canonical transcription complex and resultant regulon that drives progression of JAK2V617F myeloproliferative neoplasms

Hypoxia-inducible factors (HIFs) are master transcriptional regulators, central to cellular survival under limited oxygen (hypoxia) and frequently activated within malignancy. Malignant context affects the role of HIFs within oncogenesis; however, the mechanisms regulating HIF context-specificities are not well characterised. Applying the JAK2V617F (JVF) model of myeloproliferative neoplasms (MPNs), in which HIF-1 is active in normoxia (20% O2), we sought to determine whether the modality of HIF-1 activation directs its function. We identify that HIF-1 is stabilised in JVF cells downstream of STAT1/5 signalling and upregulation of PIM1: PIM1 mediates phosphorylation of HIF-1 (Thr498/Ser500) in JVF cells that inhibits proteasomal degradation. PIM1 inhibition eradicates HIF-1 from JVF cells. Applying a single-input dual-omics output chromatin interactome methodology (DOCIA), we define JVF-specific transcription cofactors and genomic redistribution of HIF-1, and a JVF-HIF-1 regulon in primary haematopoietic stem/progenitor cells. In a cohort of 172 JVF-MPN patients, we observe significant association of the JVF-HIF-1 regulon (but strikingly, not canonical HIF-1 genes) with disease severity, progression, and patient survival. Finally, we identify a core set of JVF-HIF-1 targets significantly associated with spontaneous transformation of MPNs to AML. Our findings identify that HIF-1 activation by the JVF-PIM1 axis substantially alters its function, and that this reprogramming drives MPN disease progression, restoring the potential for targeted therapies that delineate HIF-1 activity co-opted by malignancy from essential roles within physiological oxygen homeostasis. Key PointsO_LIHIF-1 activation via PIM1 in JAK2V617F-MPNs drives non-canonical transcription complex formation/function. C_LIO_LIThe JAK2V617F-HIF-1 regulon drives MPN disease progression, transformation to AML and worse patient outcomes. C_LI

cancer biology↗

Targeted therapy for LIMD1-deficient non-small cell lung cancer subtypes.

An early event in lung oncogenesis is loss of the tumour suppressor gene LIMD1 (LIM domains containing 1); this encodes a scaffold protein, which suppresses tumourigenesis via a number of different mechanisms. Approximately 45% of non-small cell lung cancers (NSCLC) are deficient in LIMD11, yet this subtype of NSCLC has been overlooked in preclinical and clinical investigations. Defining therapeutic targets in these LIMD1 loss-of-function patients is difficult due to a lack of druggable targets, thus alternative approaches are required. To this end, we performed the first drug repurposing screen to identify compounds that confer synthetic lethality with LIMD1 loss in NSCLC cells. PF-477736 was shown to selectively target LIMD1 deficient cells in vitro through inhibition of multiple kinases, inducing cell death via apoptosis. Furthermore, PF-477736 was effective in treating LIMD1-/- tumors in subcutaneous xenograft models, with no significant effect in LIMD1+/+ cells. We have identified a novel drug tool with significant preclinical characterization that serves as an excellent candidate to explore and define LIMD1-deficient cancers as a new therapeutic subgroup of critical unmet need. Significance StatementHere we provide the first proof-of-concept data validating the scope for development of a targeted therapy against the non-small cell lung cancers (NSCLC) subtypes deficient in expression of the LIMD1 tumor suppressor gene. Approximately 45% of NSCLC are deficient in LIMD11 representing at least 1.2 million lung cancer patients worldwide; yet this subtype has been ignored in preclinical and clinical investigations with no targeted therapies available. This seminal study applied synthetic lethality drug screening to target the loss/reduction of LIMD1 in lung cancer and normal cell lines, identifying and validating the multi-kinase inhibitor PF-477736 as a selectively cytotoxic compound towards LIMD1 deficient cells. This study provides rationale for further investigation into targeting LIMD1 loss in lung cancer, thereby addressing a critical unmet need for therapeutic approached to targeting LIMD1-deficent cancer subtypes.

cancer biology↗