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1.
Nature ; 541(7637): 359-364, 2017 01 19.
Article in English | MEDLINE | ID: mdl-28068672

ABSTRACT

Prostate tumours are highly variable in their response to therapies, but clinically available prognostic factors can explain only a fraction of this heterogeneity. Here we analysed 200 whole-genome sequences and 277 additional whole-exome sequences from localized, non-indolent prostate tumours with similar clinical risk profiles, and carried out RNA and methylation analyses in a subset. These tumours had a paucity of clinically actionable single nucleotide variants, unlike those seen in metastatic disease. Rather, a significant proportion of tumours harboured recurrent non-coding aberrations, large-scale genomic rearrangements, and alterations in which an inversion repressed transcription within its boundaries. Local hypermutation events were frequent, and correlated with specific genomic profiles. Numerous molecular aberrations were prognostic for disease recurrence, including several DNA methylation events, and a signature comprised of these aberrations outperformed well-described prognostic biomarkers. We suggest that intensified treatment of genomically aggressive localized prostate cancer may improve cure rates.


Subject(s)
Genome, Human/genetics , Genomics , Mutation , Prostatic Neoplasms/genetics , Prostatic Neoplasms/pathology , Chromothripsis , DNA Copy Number Variations , DNA Methylation , Exome/genetics , Humans , Male , Neoplasm Metastasis/genetics , Prognosis , Prostatic Neoplasms, Castration-Resistant/genetics , Prostatic Neoplasms, Castration-Resistant/pathology , Recurrence
2.
Development ; 145(9)2018 04 30.
Article in English | MEDLINE | ID: mdl-29650590

ABSTRACT

The Arabidopsis homeodomain transcription factor SHOOT MERISTEMLESS (STM) is crucial for shoot apical meristem (SAM) function, yet the components and structure of the STM gene regulatory network (GRN) are largely unknown. Here, we show that transcriptional regulators are overrepresented among STM-regulated genes and, using these as GRN components in Bayesian network analysis, we infer STM GRN associations and reveal regulatory relationships between STM and factors involved in multiple aspects of SAM function. These include hormone regulation, TCP-mediated control of cell differentiation, AIL/PLT-mediated regulation of pluripotency and phyllotaxis, and specification of meristem-organ boundary zones via CUC1. We demonstrate a direct positive transcriptional feedback loop between STM and CUC1, despite their distinct expression patterns in the meristem and organ boundary, respectively. Our further finding that STM activates expression of the CUC1-targeting microRNA miR164c combined with mathematical modelling provides a potential solution for this apparent contradiction, demonstrating that these proposed regulatory interactions coupled with STM mobility could be sufficient to provide a mechanism for CUC1 localisation at the meristem-organ boundary. Our findings highlight the central role for the STM GRN in coordinating SAM functions.


Subject(s)
Arabidopsis Proteins/metabolism , Arabidopsis/metabolism , Gene Regulatory Networks/physiology , Homeodomain Proteins/metabolism , Meristem/metabolism , Models, Biological , Transcription Factors/metabolism , Arabidopsis/cytology , Arabidopsis/genetics , Arabidopsis Proteins/genetics , Homeodomain Proteins/genetics , Meristem/cytology , Meristem/genetics , MicroRNAs/genetics , MicroRNAs/metabolism , Transcription Factors/genetics
3.
Haematologica ; 102(9): 1617-1625, 2017 09.
Article in English | MEDLINE | ID: mdl-28550183

ABSTRACT

Monoclonal gammopathy of undetermined significance is a pre-malignant precursor of multiple myeloma with a 1% risk of progression per year. Although targeted analyses have shown the presence of specific genetic abnormalities such as IGH translocations, RB1 deletion, 1q gain, hyperdiploidy or RAS gene mutations, little is known about the molecular mechanism of malignant transformation. We performed whole exome sequencing together with comparative genomic hybridization plus single nucleotide polymorphism array analysis in 33 flow-cytometry-separated abnormal plasma cell samples from patients with monoclonal gammopathy of undetermined significance to describe somatic gene mutations and chromosome changes at the genome-wide level. Non-synonymous mutations and copy-number alterations were present in 97.0% and in 60.6% of cases, respectively. Importantly, the number of somatic mutations was significantly lower in monoclonal gammopathy of undetermined significance than in myeloma (P<10-4) and we identified six genes that were significantly mutated in myeloma (KRAS, NRAS, DIS3, HIST1H1E, EGR1 and LTB) within the monoclonal gammopathy of undetermined significance dataset. We also found a positive correlation with increasing chromosome changes and somatic gene mutations. IGH translocations, comprising t(4;14), t(11;14), t(14;16) and t(14;20), were present in 27.3% of cases and in a similar frequency to myeloma, consistent with the primary lesion hypothesis. MYC translocations and TP53 deletions or mutations were not detected in samples from patients with monoclonal gammopathy of undetermined significance, indicating that they may be drivers of progression to myeloma. Data from this study show that monoclonal gammopathy of undetermined significance is genetically similar to myeloma, however overall genetic abnormalities are present at significantly lower levels in monoclonal gammopathy of undetermined significant than in myeloma.


Subject(s)
Chromosomes, Human/genetics , Monoclonal Gammopathy of Undetermined Significance/genetics , Multiple Myeloma/genetics , Neoplasm Proteins/genetics , Translocation, Genetic , Female , Flow Cytometry , Humans , Male , Monoclonal Gammopathy of Undetermined Significance/pathology , Multiple Myeloma/pathology
4.
Oncogene ; 42(21): 1693-1703, 2023 05.
Article in English | MEDLINE | ID: mdl-37020039

ABSTRACT

Predicting and treating recurrence in intermediate-risk prostate cancer patients remains a challenge despite having identified genomic instability [1] and hypoxia [2, 3] as risk factors. This underlies challenges in assigning the functional impact of these risk factors to mechanisms promoting prostate cancer progression. Here we show chronic hypoxia (CH), as observed in prostate tumours [4], leads to the adoption of an androgen-independent state in prostate cancer cells. Specifically, CH results in prostate cancer cells adopting transcriptional and metabolic alterations typical of castration-resistant prostate cancer cells. These changes include the increased expression of transmembrane transporters for the methionine cycle and related pathways leading to increased abundance of metabolites and expression of enzymes related to glycolysis. Targeting of the Glucose Transporter 1 (GLUT1) identified a dependency on glycolysis in androgen-independent cells. Overall, we identified a therapeutically targetable weakness in chronic hypoxia and androgen-independent prostate cancer. These findings may offer additional strategies for treatment development against hypoxic prostate cancer.


Subject(s)
Prostatic Neoplasms, Castration-Resistant , Prostatic Neoplasms , Male , Humans , Androgens/metabolism , Prostatic Neoplasms, Castration-Resistant/pathology , Prostatic Neoplasms/pathology , Prostate/pathology , Hypoxia/metabolism , Castration , Receptors, Androgen/genetics , Cell Line, Tumor
5.
Inhal Toxicol ; 24(14): 966-75, 2012 Dec.
Article in English | MEDLINE | ID: mdl-23216157

ABSTRACT

CONTEXT: Exposure to ambient particulate air pollution is associated with increased cardiovascular and respiratory morbidity and mortality. It is necessary to understand causal pathways driving the observed health effects, particularly if they are differentially associated with particle size. OBJECTIVES: To investigate the effect of different size ranges of ambient particulate matter (PM) on gene and protein expression in an in vitro model. MATERIALS AND METHODS: Normal human tracheobronchial epithelium (NHTBE) three-dimensional cell constructs were exposed for 24 h to washed ambient PM of different sizes (size 1: 7-615 nm; size 2: 616 nm-2.39 µm; size 3: 2.4-10 µm) collected from a residential street. A human stress and toxicity PCR array was used to investigate gene expression and iTRAQ was used to perform quantitative proteomics. RESULTS: Eighteen different genes of the 84 on the PCR array were significantly dysregulated. Treatment with size 2 PM resulted in the greatest number of genes with altered expression, followed by size 1 and lastly size 3. ITRAQ identified 317 proteins, revealing 20 that were differentially expressed. Enrichment for gene ontology classification revealed potential changes to various pathways. DISCUSSION AND CONCLUSIONS: Different size fractions of ambient PM are associated with dysregulatory effects on the cellular proteome and on stress and toxicity genes of NHTBE cells. This approach not only provides an investigative tool to identify possible causal pathways but also permits the relationship between particle size and responses to be explored.


Subject(s)
Lung/drug effects , Particulate Matter/toxicity , Proteins/genetics , Proteins/metabolism , Respiratory Mucosa/drug effects , Adenosine Triphosphate/metabolism , Cell Line , Electric Impedance , Gene Expression Profiling , Gene Expression Regulation , Gene Regulatory Networks , Genomics/methods , Humans , Lung/metabolism , Particle Size , Polymerase Chain Reaction , Protein Interaction Mapping , Proteomics/methods , Respiratory Mucosa/metabolism , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
6.
Nat Genet ; 49(9): 1336-1345, 2017 Sep.
Article in English | MEDLINE | ID: mdl-28783165

ABSTRACT

TMPRSS2-ERG (T2E) structural rearrangements typify ∼50% of prostate tumors and result in overexpression of the ERG transcription factor. Using chromatin, genomic and expression data, we show distinct cis-regulatory landscapes between T2E-positive and non-T2E primary prostate tumors, which include clusters of regulatory elements (COREs). This difference is mediated by ERG co-option of HOXB13 and FOXA1, implementing a T2E-specific transcriptional profile. We also report a T2E-specific CORE on the structurally rearranged ERG locus arising from spreading of the TMPRSS2 locus pre-existing CORE, assisting in its overexpression. Finally, we show that the T2E-specific cis-regulatory landscape underlies a vulnerability against the NOTCH pathway. Indeed, NOTCH pathway inhibition antagonizes the growth and invasion of T2E-positive prostate cancer cells. Taken together, our work shows that overexpressed ERG co-opts master transcription factors to deploy a unique cis-regulatory landscape, inducing a druggable dependency on NOTCH signaling in T2E-positive prostate tumors.


Subject(s)
Gene Expression Regulation, Neoplastic , Oncogene Proteins, Fusion/genetics , Prostatic Neoplasms/genetics , Receptors, Notch/genetics , Signal Transduction/genetics , Transcription Factors/genetics , Cell Line, Tumor , Cell Movement/genetics , Gene Expression Profiling/methods , Hepatocyte Nuclear Factor 3-alpha/genetics , Homeodomain Proteins/genetics , Humans , Male , Prostatic Neoplasms/pathology , RNA Interference , Regulatory Sequences, Nucleic Acid/genetics , Reverse Transcriptase Polymerase Chain Reaction , Serine Endopeptidases/genetics , Transcriptional Regulator ERG/genetics
7.
PLoS One ; 9(6): e99493, 2014.
Article in English | MEDLINE | ID: mdl-24923560

ABSTRACT

The chromosomal translocation t(4;14) deregulates MMSET (WHSC1/NSD2) expression and is a poor prognostic factor in multiple myeloma (MM). MMSET encodes two major protein isoforms. We have characterized the role of the shorter isoform (REIIBP) in myeloma cells and identified a clear and novel interaction of REIIBP with members of the SMN (survival of motor neuron) complex that directly affects the assembly of the spliceosomal ribonucleic particles. Using RNA-seq we show that REIIBP influences the RNA splicing pattern of the cell. This new discovery provides novel insights into the understanding of MM pathology, and potential new leads for therapeutic targeting.


Subject(s)
Histone-Lysine N-Methyltransferase/metabolism , RNA Processing, Post-Transcriptional , Repressor Proteins/metabolism , SMN Complex Proteins/metabolism , Cell Proliferation , Chromosomes, Human, Pair 14/genetics , Chromosomes, Human, Pair 4/genetics , HeLa Cells , Histones/metabolism , Humans , Introns/genetics , Mass Spectrometry , Methylation , Multiple Myeloma/genetics , Multiple Myeloma/pathology , Phenotype , Protein Binding , Protein Isoforms/metabolism , Protein Structure, Tertiary , RNA Splicing/genetics , Ribonucleoproteins, Small Nuclear/metabolism , Spliceosomes/metabolism , Translocation, Genetic
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