Choline metabolism drives metastasis in BRCA1-deficient ovarian cancers by activating FAM3C [RNA-seq]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1225660 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32396865_1.fastq.gz | Fastqsanger.gz | |||
| SRR32396865_2.fastq.gz | Fastqsanger.gz | |||
| SRR32396866_1.fastq.gz | Fastqsanger.gz | |||
| SRR32396866_2.fastq.gz | Fastqsanger.gz | |||
| SRR32396867_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:BRCA1 mutations are a hallmark of hereditary ovarian cancer, strongly linked to deficiencies in homologous recombination (HR) DNA repair and impaired DNA replication fork protection. However, its roles in cancer progression beyond maintaining genomic integrity remain poorly understood. Through metabolomics approaches, we found BRCA1-deficiency strikingly increased choline metabolism. Loss of BRCA1 promotes choline uptake through upregulating choline transporter-like protein 4 (CTL4). BRCA1 directly binds and recruits EZH2-mediated H3K27Me3 deposition to CTL4 promoter. CTL4 was therefore overexpressed in ovarian cancer tissues with BRCA1 mutations. Furthermore, BRCA1-deficiency significantly promotes ovarian cancer invasion, while inhibition of CTL4 reverses the high metastatic potential of BRCA1-deficient ovarian cancer cells, suggesting the functionality and specificity of CTL4 as a therapeutic target. Additionally, we discovered that phosphocholine, the choline metabolite increased by CTL4 overexpression, interacted with and stabilized the epithelial-to-mesenchymal transition inducer FAM3C in BRCA1-deficient ovarian cancer cells. Importantly, we identified a potent CTL4 inhibitor, DT-13, which significantly reduces choline metabolism and effectively suppresses metastasis in BRCA1-deficient ovarian cancers. Therefore, our study uncovers a mechanism underlying metastasis in BRCA1-deficient cancers and identifies CTL4 as a therapeutic target for metastatic ovarian cancer patients with BRCA1 mutations.
2025-06-16 | GSE289966 | GEO
Project description:BRCA1 mutations are a hallmark of hereditary ovarian cancer, strongly linked to deficiencies in homologous recombination (HR) DNA repair and impaired DNA replication fork protection. However, its roles in cancer progression beyond maintaining genomic integrity remain poorly understood. Through metabolomics approaches, we found BRCA1-deficiency strikingly increased choline metabolism. Loss of BRCA1 promotes choline uptake through upregulating choline transporter-like protein 4 (CTL4). BRCA1 directly binds and recruits EZH2-mediated H3K27Me3 deposition to CTL4 promoter. CTL4 was therefore overexpressed in ovarian cancer tissues with BRCA1 mutations. Furthermore, BRCA1-deficiency significantly promotes ovarian cancer invasion, while inhibition of CTL4 reverses the high metastatic potential of BRCA1-deficient ovarian cancer cells, suggesting the functionality and specificity of CTL4 as a therapeutic target. Additionally, we discovered that phosphocholine, the choline metabolite increased by CTL4 overexpression, interacted with and stabilized the epithelial-to-mesenchymal transition inducer FAM3C in BRCA1-deficient ovarian cancer cells. Importantly, we identified a potent CTL4 inhibitor, DT-13, which significantly reduces choline metabolism and effectively suppresses metastasis in BRCA1-deficient ovarian cancers. Therefore, our study uncovers a mechanism underlying metastasis in BRCA1-deficient cancers and identifies CTL4 as a therapeutic target for metastatic ovarian cancer patients with BRCA1 mutations.
2025-06-16 | GSE289967 | GEO
Project description:Choline metabolism drives metastasis in BRCA1-deficient ovarian cancers by activating FAM3C [ChIP-seq]
| PRJNA1225665 | ENA
Project description:We used complementary DNA (cDNA) microarrays to compare gene expression patterns in ovarian cancers associated with BRCA1 or BRCA2 mutations with gene expression patterns in sporadic epithelial ovarian cancers and to identify patterns common to both hereditary and sporadic tumors.
2016-05-28 | GSE82007 | GEO
Project description:Molecular Profiling of BRCA1-and BRCA2-associated Breast Cancers Identifies FGFR2 as a Gene More Highly Expressed in BRCA2-associated Tumors BRCA1- and BRCA2-associated tumors have many morphologic characteristics in common, but appear to have distinct molecular signatures. BRCA1-associated tumors are predominantly basal-like cancers, whereas BRCA2-associated tumors have a predominant luminal-like phenotype. These two molecular signatures reflect in part the two cell types, basal/myoepithelial and luminal, found in the terminal duct lobular unit of the breast. To elucidate novel genes involved in these two spectra of breast cancer tumorigenesis we performed global gene expression analysis on breast tumors from germline BRCA1 and BRCA2 mutation carriers. Breast tumor RNAs from 7 germline BRCA1 and 6 germline BRCA2 carriers were profiled using UHN human 19K cDNA microarrays. Supervised univariate analyses were conducted to identify genes differentially expressed between BRCA1 and BRCA2-associated tumors. Selected discriminatory genes were validated using real time reverse transcription polymerase chain reaction (RT-PCR) in the tumor RNAs, and/or by immunohistochemistry (IHC) or by in situ hybridization (ISH) on tissue microarrays (TMAs) containing an independent set of 58 BRCA1 and 64 BRCA2-associated tumors. Genes more highly expressed in BRCA1-associated tumors included stathmin/oncoprotein 18, osteopontin, TGFß2 and Jagged 1 in addition to genes previously identified as characteristic of basal-like breast cancers. Genes more highly expressed in BRCA2-associated tumors had functions related to transcription, signal transduction (particularly MAPK signaling), cell proliferation, cell adhesion and extracellular matrix remodeling. BRCA2-associated cancers were characterized by the higher relative expression of amongst others, FGF1 and FGFR2. Tissue microarrays were used to validate the expression of FGFR2 protein by immunohistochemistry and Jagged 1 expression by in situ hybridization. BRCA2-associated cancers expressed higher levels of FGFR2 protein than BRCA1-associated cancers (p=0.004); whereas BRCA1-associated tumors exhibited elevated levels of Jagged1 mRNA compared to BRCA2-associated cancers (p=0.02). FGFR2 and FGF1 were more highly expressed in BRCA2-associated cancers compared with BRCA1-associated breast cancers, suggesting the existence of an autocrine or paracrine stimulatory loop. In addition to corroborating the basal-like signature of BRCA1-associated tumors, we identified osteopontin, stathmin/oncoprotein 18, TGFβ2, and Jagged 1 as being more highly expressed in BRCA1-associated tumors. Keywords: Gene expression profiling, genetic comparison
2008-09-30 | GSE9483 | GEO
Project description:Background:This study was a hypothesis generating exploration of genomic data collected at diagnosis for 19 patients, who later participated in a clinical trial. BRCA1/2 germline mutation related hereditary cancers are candidates for new immune therapeutic interventions. However, contrary to what is expected of tumors with compromised DNA repair, a prominent tumor mutation burden (TMB) in hereditary breast and ovarian cancers in this cohort, was not correlated with high global immune activity in their microenvironments. More information is needed about the relationship between genomic instability, phenotypes and immune microenvironments of BRCA1/2 related hereditary tumors in order to find appropriate markers of immune activity and the most effective anticancer immune strategies. Methods:Mining and statistical analyses of the original DNA and RNA sequencing data and data available from The Cancer Genome Atlas (TCGA) were performed using the R computing environment. To interpret the data, we have used published literature and web available resources such as Gene Ontology Tools, The Cancer immunome Atlas (TCIA) and the Cancer Research Institute iAtlas. Results: We found that BRCA1/2 germline related breast and ovarian cancers do not represent a unique phenotypic identity, but that they express a range of phenotypes similar to sporadic cancers. Importantly, BRCA2 germline mutation related breast tumors have a different profile of genomic instability compared to those related to BRCA1. However, all breast and ovarian BRCA1/2 related tumors are characterized by high homologous recombination deficiency (HRD) and low aneuploidy. Interestingly, all sporadic high grade serous ovarian cancers (HGSOC) and most of the subtypes of triple negative breast cancers (TNBC), but not other types of breast cancer, also express a high degree of HRD. Conclusion: : Tumor mutation burdon (TMB) is not associated with the magnitude of the immune response in hereditary BRCA1/2 related breast and ovarian cancers or in sporadic TNBC and sporadic HGSOC. Hereditary tumors express phenotypes as heterogenous as sporadic tumors with various degree of “BRCAness” and various characteristics of the immune microenvironments. The subtyping criteria developed for sporadic tumors can be applied for the classification of hereditary tumors and possibly also characterization of their immune microenvironment. A high HRD score may be a good candidate biomarker for response to platinum, and potentially PARP-inhibition.
2019-11-28 | GSE141142 | GEO
Project description:Analysis of miRNA expression in grade 3 luminal, sporadic and BRCA1 associated basal-like breast cancers 44 primary grade III breast cancer (11 BRCA1 basal, 16 sporadic basal, 17 luminal) and 13 normal breast FFPE (formalin fixed, paraffin embedded) specimens, plus 7 controls and 5 cell lines were analysed. The aim of the study was to derive grade-specific miRNA signatures for sporadic and BRCA1 basal-like breast cancers, and to ascertain an immunohistochemical profile regulated by BRCA1 specific miRNAs for potential diagnostic uses.
2014-09-16 | E-GEOD-61438 | biostudies-arrayexpress
Project description:BRCA1 primarily functions to maintain genomic integrity; therefore, mutations in BRCA1 are associated with increased risk of developing breast (≥70%) and ovarian (≥40%) cancers. Additionally, tumors arising from BRCA1 mutations are typically high grade and recurrent in nature. Thus, there is an urgent need to identify novel optimal therapeutic options for the majority of these patients. Herein, we performed a targeted CRISPR-Cas9 dropout screen and identified Methylphosphate Capping Enzyme, MEPCE, as a potential synthetic lethal interactor of BRCA1. Mechanistically, depletion of MEPCE in a BRCA1-deficient setting results in increased RNA polymerase II redistribution, R-loop accumulation, as well as replication stress, concomitantly contributing to transcription-replication collision events. These factors compromise genomic integrity, thereby resulting in loss of viability of BRCA1-deficient tumor cells. We also identified RNA polymerase II-associated factor I, PAF1, as a synthetic lethal interactor of BRCA1. Similar to MEPCE depletion, loss of PAF1 in a BRCA1-deficient setting results in R-loop accumulation, transcription-replication conflicts, and cell death. Our study highlights the dependence of BRCA1-defective tumors on factors such as MEPCE and PAF1 that suppress transcription-replication conflicts through RNAPII pausing and release regulation to maintain genomic stability. This highlights the untapped potential of factors such as MEPCE as novel therapeutic targets for the treatment of cancers associated with BRCA1 mutations.
2023-04-25 | GSE173223 | GEO
Project description:Inactivating germline BRCA1 and BRCA2 mutations confer a defect in homologous recombination DNA repair which was found to leave traces in tumor DNA copy number aberration (CNA) profiles. In analogy to previously trained breast cancer CNA classifiers that predicted association with BRCA1 and BRCA2 mutated cancer and benefit of high dose double strand break inducing chemotherapy, we trained BRCA1 and BRCA2 classifiers on CNA profiles of 50 BRCA1 mutated, 10 BRCA2 mutated and 13 non-familial ovarian cancers and investigated whether tumor type and mutation type independent classifiers could be trained. The cross validated area under the curve of the receiver/operator characteristic curve of ovarian cancer BRCA1 and BRCA2 classifiers were 0.67 (95% CI: 0.55-0.78) and 0.91 (95% CI: 0.79-1). These classifiers identified the majority of the samples with germline and somatic BRCA1 and BRCA2 mutations and BRCA1 promoter hypermethylation in the Cancer Genome Atlas (TCGA) dataset. Combining tumor type or mutated gene did not yield higher AUCs than single gene classifiers, although the ovarian BRCA1+BRCA2 classifier identified most BRCA1 and -2 mutated cases, including those in the TCGA dataset, and a combined breast and ovarian cancer BRCA1 classifier may improve response prediction to double strand break inducing chemotherapy.
2021-12-31 | GSE111688 | GEO
Project description:Analysis of miRNA expression in grade 3 luminal, sporadic and BRCA1 associated basal-like breast cancers
2014-09-16 | GSE61438 | GEO