Mitochondrial-Nuclear Mutational Cross-Talk Drives Recurrence of Localized Prostate Cancer
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ABSTRACT:
PROVIDER: EGAS00001001782 | EGA |
REPOSITORIES: EGA
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Project description:Thousands of noncoding somatic Single Nucleotide Variants (SNVs) of unknown function are reported in tumors. Partitioning the genome according to cistromes, reveals the enrichment of somatic SNVs in prostate tumors as opposed to adjacent normal tissue cistromes of master transcription regulators, including AR, FOXA1 and HOXB13. This parallels enrichment of prostate cancer genetic predispositions over these transcription regulators’ tumor cistromes, exemplified at the 8q24 locus harboring both risk-variants and somatic SNVs in cis-regulatory elements, upregulating MYC expression and altering the binding of transcription regulators to DNA. However, Massively-Parallel Reporter Assays reveal that few SNVs can alter the transactivation potential of individual CREs. Instead, SNVs accumulate, similarly to inherited riskvariants, in cistromes of master transcription regulators required for prostate cancer development. Significance Difficulties in inferring the biological significance of noncoding mutations have limited their inclusion in precision genomics medicine pipelines. Most attempts to delineate a role for noncoding mutations relied on detecting evidence for positive selection within individual CREs, such as reported for the TERT gene promoter. By considering the enrichment of noncoding mutations in cistromes as opposed to individual CREs, we reveal their specificity towards master transcription regulators that promote prostate cancer development, a feature shared with inherited risk-variants. Overall, our work provides a blueprint for the functional interpretation of noncoding mutations in genomic tests relying on defining cis-regulatory units according to cistrome-partitioning to identify cancer driver transcription regulators.
2019-12-01 | GSE137527 | GEO
Project description:Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer deaths in men. GWAS studies have identified variants associated with prostate cancer susceptibility, however, mechanistic and functional validation of these mutations are lacking. Mitochondrial energy metabolism plays an important role in the onset and development of cancer. A missense variant was identified in the ELAC2 gene, which encodes a dually localized nuclear and mitochondrial RNA processing enzyme, with predicted impact on metabolism and tumorigenesis. We used CRISPR/Cas9 genome editing to introduce this variant into the mouse Elac2 gene as well as to generate a prostate-specific gene knockout of Elac2. The mutations caused enlargement and inflammation in the prostate and nodule formation. Multi-omic profiling revealed defects in RNA and energy metabolism that activated proinflammatory and tumorigenic pathways as a consequence of impaired processing of mitochondrial and nuclear encoded non-coding RNAs and reduced protein synthesis. The Elac2 variant or knockout mice on the background of the transgenic adenocarcinoma of the mouse prostate (TRAMP) model show that Elac2 mutation with a secondary genetic insult exacerbated the onset and progression of prostate cancer and led to metastasis. Our systems biology analyses reveal a miRNA-mediated molecular mechanism by which specific non-coding RNAs elicit metabolic changes that drive prostate tumorigenesis and metastasis. We conclude that the ELAC2 variant is a predisposing factor for prostate cancer and provide a detailed molecular mechanism and physiologically relevant models of this cancer.
2023-04-19 | PXD033891 | Pride
Project description:Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer deaths in men. GWAS studies have identified variants associated with prostate cancer susceptibility, however, mechanistic and functional validation of these mutations are lacking. Mitochondrial energy metabolism plays an important role in the onset and development of cancer. A missense variant was identified in the ELAC2 gene, which encodes a dually localized nuclear and mitochondrial RNA processing enzyme, with predicted impact on metabolism and tumorigenesis. We used CRISPR/Cas9 genome editing to introduce this variant into the mouse Elac2 gene as well as to generate a prostate-specific gene knockout of Elac2. The mutations caused enlargement and inflammation in the prostate and nodule formation. Multi-omic profiling revealed defects in RNA and energy metabolism that activated proinflammatory and tumorigenic pathways as a consequence of impaired processing of mitochondrial and nuclear encoded non-coding RNAs and reduced protein synthesis. The Elac2 variant or knockout mice on the background of the transgenic adenocarcinoma of the mouse prostate (TRAMP) model show that Elac2 mutation with a secondary genetic insult exacerbated the onset and progression of prostate cancer and led to metastasis. Our systems biology analyses reveal a miRNA-mediated molecular mechanism by which specific non-coding RNAs elicit metabolic changes that drive prostate tumorigenesis and metastasis. We conclude that this ELAC2 variant is a predisposing factor for prostate cancer and provide a detailed molecular mechanism and physiologically relevant models of this cancer.
2023-03-21 | GSE201182 | GEO
Project description:Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer deaths in men. GWAS studies have identified variants associated with prostate cancer susceptibility, however, mechanistic and functional validation of these mutations are lacking. Mitochondrial energy metabolism plays an important role in the onset and development of cancer. A missense variant was identified in the ELAC2 gene, which encodes a dually localized nuclear and mitochondrial RNA processing enzyme, with predicted impact on metabolism and tumorigenesis. We used CRISPR/Cas9 genome editing to introduce this variant into the mouse Elac2 gene as well as to generate a prostate-specific gene knockout of Elac2. The mutations caused enlargement and inflammation in the prostate and nodule formation. Multi-omic profiling revealed defects in RNA and energy metabolism that activated proinflammatory and tumorigenic pathways as a consequence of impaired processing of mitochondrial and nuclear encoded non-coding RNAs and reduced protein synthesis. The Elac2 variant or knockout mice on the background of the transgenic adenocarcinoma of the mouse prostate (TRAMP) model show that Elac2 mutation with a secondary genetic insult exacerbated the onset and progression of prostate cancer and led to metastasis. Our systems biology analyses reveal a miRNA-mediated molecular mechanism by which specific non-coding RNAs elicit metabolic changes that drive prostate tumorigenesis and metastasis. We conclude that this ELAC2 variant is a predisposing factor for prostate cancer and provide a detailed molecular mechanism and physiologically relevant models of this cancer.
2023-03-21 | GSE201183 | GEO
Project description:Prostate cancer is the most commonly diagnosed malignancy and the second leading cause of cancer deaths in men. GWAS studies have identified variants associated with prostate cancer susceptibility, however, mechanistic and functional validation of these mutations are lacking. Mitochondrial energy metabolism plays an important role in the onset and development of cancer. A missense variant was identified in the ELAC2 gene, which encodes a dually localized nuclear and mitochondrial RNA processing enzyme, with predicted impact on metabolism and tumorigenesis. We used CRISPR/Cas9 genome editing to introduce this variant into the mouse Elac2 gene as well as to generate a prostate-specific gene knockout of Elac2. The mutations caused enlargement and inflammation in the prostate and nodule formation. Multi-omic profiling revealed defects in RNA and energy metabolism that activated proinflammatory and tumorigenic pathways as a consequence of impaired processing of mitochondrial and nuclear encoded non-coding RNAs and reduced protein synthesis. The Elac2 variant or knockout mice on the background of the transgenic adenocarcinoma of the mouse prostate (TRAMP) model show that Elac2 mutation with a secondary genetic insult exacerbated the onset and progression of prostate cancer and led to metastasis. Our systems biology analyses reveal a miRNA-mediated molecular mechanism by which specific non-coding RNAs elicit metabolic changes that drive prostate tumorigenesis and metastasis. We conclude that this ELAC2 variant is a predisposing factor for prostate cancer and provide a detailed molecular mechanism and physiologically relevant models of this cancer.
2023-03-21 | GSE201181 | GEO
Project description:Prostate cancer-associated stroma (CAS) plays an active role in malignant transformation, tumor progression, and metastasis. Molecular analyses of CAS have demonstrated significant changes in gene expression; however, conflicting evidence exists on whether genomic alterations in benign cells comprising the tumor microenvironment (TME) underlie gene expression changes and oncogenic phenotypes. This study evaluates the nuclear and mitochondrial DNA integrity of prostate carcinoma cells, CAS, matched benign epithelium and benign epithelium-associated stroma by whole genome copy number analyses, targeted sequencing of TP53, and fluorescence in situ hybridization. Comparative genomic hybridization (aCGH) of CAS revealed a copy-neutral diploid genome with only rare and small somatic copy number aberrations (SCNAs). In contrast, several expected recurrent SCNAs were evident in the adjacent prostate carcinoma cells, including gains at 3q, 7p, and 8q, and losses at 8p and 10q. No somatic TP53 mutations were observed in CAS. Mitochondrial DNA (mtDNA) extracted from carcinoma cells and stroma identified 23 somatic mtDNA mutations in neoplastic epithelial cells but only one mutation in stroma. Finally, genomic analyses identified no SCNAs, no loss of heterozygosity (LOH) or copy-neutral LOH in cultured cancer-associated fibroblasts (CAFs), which are known to promote prostate cancer progression in vivo. Agilent whole human genome aCGH oligonucleotide microarrays were used to assess copy number aberrations in 79 specimens from 20 patients as well as two pairs of cancer-associated fibroblasts (CAF) and benign/normal associated fibroblasts (NAF). 3 CAF/NAF sample pairs were also assessed for DNA copy number aberrations and copy-neutral LOH using the Infinium HumanOmniExpressExome BeadChip Kit.
2016-02-12 | E-GEOD-76456 | biostudies-arrayexpress
Project description:Prostate cancer-associated stroma (CAS) plays an active role in malignant transformation, tumor progression, and metastasis. Molecular analyses of CAS have demonstrated significant changes in gene expression; however, conflicting evidence exists on whether genomic alterations in benign cells comprising the tumor microenvironment (TME) underlie gene expression changes and oncogenic phenotypes. This study evaluates the nuclear and mitochondrial DNA integrity of prostate carcinoma cells, CAS, matched benign epithelium and benign epithelium-associated stroma by whole genome copy number analyses, targeted sequencing of TP53, and fluorescence in situ hybridization. Comparative genomic hybridization (aCGH) of CAS revealed a copy-neutral diploid genome with only rare and small somatic copy number aberrations (SCNAs). In contrast, several expected recurrent SCNAs were evident in the adjacent prostate carcinoma cells, including gains at 3q, 7p, and 8q, and losses at 8p and 10q. No somatic TP53 mutations were observed in CAS. Mitochondrial DNA (mtDNA) extracted from carcinoma cells and stroma identified 23 somatic mtDNA mutations in neoplastic epithelial cells but only one mutation in stroma. Finally, genomic analyses identified no SCNAs, no loss of heterozygosity (LOH) or copy-neutral LOH in cultured cancer-associated fibroblasts (CAFs), which are known to promote prostate cancer progression in vivo.
2016-02-12 | GSE76456 | GEO
Project description:<p>Prostate cancer is a prevalent cause of cancer morbidity and mortality in men. In order to characterize the full range of somatic mutations in protein-coding genes that may drive the growth of prostate cancer, we sequenced the exonic regions of genomic and tumor DNA from over 100 patients with high-risk primary prostate cancer. Using hybrid capture and paired end DNA sequencing, we identified mutations in several novel putative prostate cancer genes. We interrogated copy number changes across tumor genomes using high-density SNP arrays, and identified a molecular subtype of cancer characterized by mutation of the ubiquitin ligase subunit SPOP and copy number loss at specific genomic loci. </p>
| phs000447 | dbGaP
Project description:Forkhead domain mutations in FOXA1 drive prostate cancer cell progression
| PRJNA551479 | ENA
Project description:DNA sequencing studies have identified specific recurrent somatic mutations that drive the aggressiveness of localized prostate cancers. Surprisingly, though, it is poorly understood how the prostate cancer proteome is shaped by genomic, epigenomic and transcriptomic dysregulation. To fill this gap, we profiled the whole genomes, methylomes, epigenomes, transcriptomes and proteomes of 55 localized, intermediate-risk, prostate cancers. This multi-modal dataset revealed that the genomic subtypes of prostate cancer converge on four proteomic subtypes, which are associated with distinct clinical trajectories. ETS fusion genes, the most common mutation in prostate tumours, perturb the proteome and transcriptome in divergent ways – with different genes and pathways affected at each level. Indeed, mRNA abundance changes explain only ~10% of variability in protein levels. Perhaps as a direct result, prognostic biomarkers that combine genomic or epigenomic features with proteomic ones significantly outperform those comprised of either molecular feature alone. These data suggest that the proteome of prostate cancer is shaped by a complex interplay of genomic, epigenomic, transcriptomic and post-transcriptional dysregulation.
2019-06-30 | GSE107299 | GEO