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Risbridger, G. P.

Publications and source records attributed to Risbridger, G. P..

5 recordsLinked to original sources

Di-codon organization links tRNA modifications to cancer cell proteome composition

Hormone-signalling modulates levels of tRNA-modifying enzymes, including ELP3, in cancer cells. Here we show that ELP3 is required to sustain proliferation in prostate cancer cells. Intriguingly, although ELP3 modifies tRNA at the U34-position, the ELP3-sensitive proteome was poorly explained by frequencies of codons requiring U34-modified tRNA for decoding. Instead, we identified six codon pairs (herein denoted ELP3 down di-codons "E3dDCs") that, in concert with local sequence context and 5UTR features affecting translation initiation, explain ELP3-sensitive protein expression. Moreover, despite activation of the canonical integrated stress response upon ELP3 suppression, the associated expression program was paradoxically suppressed in a fashion correlating with higher E3dDC frequencies. E3dDCs were also enriched in mitotic regulators, and ELP3-suppression caused mitotic defects that limited proliferation. Therefore, ELP3 regulates proteome composition via E3dDCs that, depending on their local sequence context and translation initiation activity, determine protein expression and downstream cellular phenotypes upon reduced levels of U34-modified tRNA.

molecular biology↗

Prostate cancer associated fibroblasts have distinct morphomechanical features that are associated with patient outcome

Tumour development and progression reshape the physical properties of the surrounding tumour microenvironment (TME) including its biomechanical traits. This is driven by a prominent cell type in the TME, cancer associated fibroblasts (CAFs), which increases tissue stiffness via extracellular matrix deposition and remodelling. Currently, it is unclear whether there are also physical changes to CAFs at the cellular level and, if so, how they relate to patient outcome. Here we show that CAFs have distinct morphological and biomechanical features from normal fibroblasts. We examined matched, patient-derived CAFs and non-malignant prostate fibroblasts (NPFs) from 35 patients with primary prostate cancer. Morphologically, CAFs had more aligned stress fibres, and larger and more elongated nuclei, based on quantitative image analysis of confocal microscopy images. In addition, single-cell mechanical measurements using real-time deformability cytometry showed that CAFs are larger and stiffer than NPFs. These changes were consistent across patients and validated with atomic force microscopy. A combined morphomechanical score encompassing these features was significantly associated with patient outcome. In transcriptomic analyses, the score was correlated with microtubule dynamics and a myofibroblast phenotype. Importantly, we also demonstrated that morphomechanical features of prostate fibroblasts are modified by approved treatments for prostate cancer, such as docetaxel, and other small molecular inhibitors, such as axitinib. In summary, changes in cellular morphomechanical properties are a consistent feature of CAFs and associated with patient outcome. Moreover, cellular morphomechanical properties can be therapeutically targeted, potentially providing a new strategy for manipulating the TME to control cancer progression.

cancer biology↗

Defining focal neuroendocrine differentiation as a transcriptionally distinct form of prostate cancer pathology characterized by the expression of androgen receptors

BackgroundMen with neuroendocrine prostate cancer (NEPC) have a poor prognosis. NEPC is commonly diagnosed by immunohistochemical markers (CHGA, SYP and NCAM1) and genomic features (mutations in RB1, PTEN, TP53). But by pathology, NEPC tumours are variable, leading to a classification of NE subtypes such as small cell and large cell neuroendocrine carcinomas, focal neuroendocrine differentiation (Focal NED), and Amphicrine. We postulated the diversity observed in NEPC pathologies might arise from differences in transcriptional profiles and the aim of this study is to utilize single-cell RNA sequencing to define the transcriptional differences between NEPC subtype pathologies. MethodsGene expression profiles were obtained for 18,632 individual tumour cells from 9 patient-derived xenograft (PDX) models representing five distinct neuroendocrine pathologies of prostate cancer. Integration and clustering of cell-level data demarked transcriptionally distinct sub-populations of cells. Differential gene expression, gene set enrichment and transcriptional factor regulon analysis identified expression signatures unique to specific neuroendocrine pathologies. Copy-number estimated from expression data revealed the clonal structure of PDXs with mixed adenocarcinoma and neuroendocrine pathologies. ResultsSignificant differences were observed in the transcriptional profiles of NEPC pathology subtypes. Focal NED cells maintain AR signaling, similar to the amphicrine subtype but different from small and large cell carcinomas. Cellular sub-populations enriched for expression of KRAS, IL2-STAT5 and TNF-signaling genes were found in focal NED and amphicrine pathologies, but not in small or large cell carcinomas. In contrast, sub-populations enriched for the YAP, Myc and E2F pathways were detected in small cell, large cell and amphicrine tumours, but not in focal NED cells. Each pathology showed unique patterns of master regulator activity as well, further implicating focal NED as a transcriptionally distinct entity. Based on copy number alterations within PDXs of mixed pathology, focal NED cells showed little clonal divergence from neighboring adenocarcinoma cells, whereas cells with small cell neuroendocrine pathology were clonally distinct. ConclusionsNeuroendocrine prostate cancer subtypes can be identified by pathology and our study shows that transcriptional features identified by single-cell RNA-sequencing also distinguish neuroendocrine subtypes pathologies from each other. In particular, our data redefine focal neuroendocrine differentiation as a pathology expressing androgen receptors (AR), exhibiting its distinctive composition of transcriptionally unique sub-populations. These findings advocate for differences in the treatment of NEPC tumors, particularly those displaying focal NED.

cancer biology↗

MicroRNA-194 promotes lineage plasticity in advanced prostate cancer

MicroRNA-194 (miR-194) promotes prostate cancer metastasis, but the precise molecular mechanisms by which it achieves this are unknown. Here, by integrating Argonaute high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (Ago-HITS-CLIP) with RNA sequencing and exon-intron split analysis, we defined a 163-gene miR-194 \"targetome\" in prostate cancer. These target genes were predominantly down-regulated through canonical 3UTR recognition sites and were enriched within pathways involved in cytoskeletal organisation and cell movement. In clinical prostate cancer samples, miR-194 activity was inversely correlated with the androgen receptor (AR) signalling axis. At a mechanistic level, this inverse correlation was explained by down-regulation of miR-194 expression by AR. Accordingly, miR-194 expression and activity was significantly elevated in neuroendocrine prostate cancer (NEPC), an aggressive AR-independent disease subtype. MiR-194 enhanced the transdifferentiation of prostate adenocarcinoma cells to a neuroendocrine-like state, at least in part by targeting FOXA1, a transcription factor with a key role in maintaining the prostate epithelial lineage. Importantly, a miR-194 inhibitor effectively inhibited the growth of cell lines and patient-derived organoids with neuroendocrine features. Overall, our study reveals a novel post-transcriptional mechanism regulating the plasticity of prostate cancer cells and provides a rationale for targeting miR-194 in this NEPC.

cancer biology↗

Estrogen receptor alpha controls gene expression via translational offsetting

Estrogen receptor alpha (ER) activity is associated with increased cancer cell proliferation. Studies aiming to understand the impact of ER on cancer-associated phenotypes have largely been limited to its transcriptional activity. Herein, we demonstrate that ER coordinates its transcriptional output with selective modulation of mRNA translation. Importantly, translational perturbations caused by depletion of ER largely manifest as \"translational offsetting\" of the transcriptome, whereby amounts of translated mRNA and protein levels are maintained constant despite changes in mRNA abundance. Transcripts whose levels, but not polysome-association, are reduced following ER depletion lack features which limit translational efficiency including structured 5UTRs and miRNA target sites. In contrast, mRNAs induced upon ER depletion whose polysome-association remains unaltered are enriched in codons requiring U34-modified tRNAs for efficient decoding. Consistently, ER regulates levels of U34-modification enzymes, whereas altered expression of U34-modification enzymes disrupts ER dependent translational offsetting. Altogether, we unravel a hitherto unprecedented mechanism of ER-dependent orchestration of transcriptional and translational programs, and highlight that translational offsetting may be a pervasive mechanism of proteome maintenance in hormone-dependent cancers.

systems biology↗