Trps1 predicts poor prognosis in advanced high grade serous ovarian carcinoma
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ABSTRACT:
PROVIDER: PRJNA1051149 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27182023_1.fastq.gz | Fastqsanger.gz | |||
| SRR27182023_2.fastq.gz | Fastqsanger.gz | |||
| SRR27182024_1.fastq.gz | Fastqsanger.gz | |||
| SRR27182024_2.fastq.gz | Fastqsanger.gz | |||
| SRR27182025_1.fastq.gz | Fastqsanger.gz |
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Project description:TRPS1 is aberrantly expressed in a variety of tumors, including breast, prostate, and gastric cancers, and is strongly associated with tumorigenesis or prognosis. However, the role of TRPS1 in high grade serous ovarian carcinoma (HGSC) is unknown. We investigated the relationship between TRPS1 expression and clinicopathology in HGSC patients. The tumor-related regulatory mechanisms of TRPS1 was explored through in vivo and vitro experiments. The results showed that TRPS1 was highly expressed in HGSC compared to normal tissues. It was also linked to the cell proliferation index Ki67 and poor prognosis. In vivo experiments showed that knockdown of TRPS1 could inhibit tumor growth. In vitro experiments, knockdown of TRPS1 inhibited the proliferation of ovarian cancer cells. TRPS1 exerted its regulatory role as a transcription factor, binding to the PSAT1 promoter and promoting the expression of PSAT1 gene. Meanwhile, PSAT1 was positively correlated with CCND1 expression. These results suggest that TRPS1 affects HGSC proliferation and cell cycle by regulating PSAT1 and thus CCND1 expression.
2023-12-11 | GSE249935 | GEO
Project description:Ovarian cancer is one of the most lethal female cancer and tends to be diagnosed at an advanced stage, resulting high recurrence and mortality rates despite the treatment. Accurate prediction of prognosis is necessary to facilitate molecular profiling-based treatment. We investigated novel, blood-based prognostic biomarkers for high-grade serous ovarian carcinoma (HGSOC) using mass spectrometry-based proteomics methods.
2023-03-11 | PXD034636 | Pride
Project description:High-grade serous ovarian carcinoma (HGSOC) is an epithelial cancer that accounts for most ovarian cancer deaths. Metabolic abnormalities such as extensive aerobic glycolysis and aberrant lipid metabolism are well-known characteristics of cancer cells. Indeed, accumulation of lipid droplets (LDs) in certain types of malignant tumors has been known for more than 50 years. Here, we investigated the correlation between LD accumulation and clinical prognosis. In 96 HGSOC patients, we found that high expression of the LD marker adipophilin was associated with poor progression-free and overall survival (p = 0.0022 and p = 0.014, respectively). OVCAR-3 ovarian carcinoma cells accumulated LDs in a glucose-dependent manner, which suggested the involvement of aerobic glycolysis and subsequently enhanced lipogenesis, with a result being LD accumulation. The acyl-CoA: cholesterol acyltransferase 1 inhibitor K604 and the hydroxymethylglutaryl-CoA reductase inhibitor pitavastatin blocked LD accumulation in OVCAR-3 cells and reduced phosphorylation of the survival-related kinases Akt and ERK1/2, both of which have been implicated in malignancy. Our cell-based assays thus suggested that enhanced aerobic glycolysis resulted in LD accumulation and activation of survival-related kinases. Overall, our results support the idea that cancers with lipogenic phenotypes are associated with poor clinical prognosis, and we suggest that adipophilin may serve as an independent indicator of a poor prognosis in HGSOC.
| S-EPMC8533764 | biostudies-literature
Project description:BackgroundAntiangiogenic therapy, although part of standard treatment in ovarian cancer, has variable efficacy. Furthermore, little is known about the prognostic biomarkers and factors influencing angiogenesis in cancer tissue. We evaluated the expression of angiopoietin-2 and two endothelial tyrosine kinase receptors, Tie-1 and Tie-2, and assessed their value in the prediction of survival in patients with malignant epithelial ovarian cancer. We also compared the expression of these factors between primary high grade serous tumors and their distant metastasis.Materials and methodsWe evaluated 86 women with primary epithelial ovarian cancer. Matched distal omental metastasis were investigated in 18.6% cases (N = 16). The expression levels of angiogenic factors were evaluated by immunohistochemistry in 306 specimens and by qRT-PCR in 111 samples.ResultsA high epithelial expression level of Tie-2 is a significant prognostic factor in primary high grade serous ovarian cancer. It predicted significantly shorter overall survival both in univariate (p<0.001) and multivariate survival analyses (p = 0.022). Low angiopoietin-2 expression levels in primary ovarian tumors were significantly associated with shorter overall survival (p = 0.015) in the univariate survival analysis. A low expression of angiopoietin-2 was also significantly related to high grade tumors, size of residual tumor after primary surgery and the recurrence of cancer (p = 0.008; p = 0.012; p = 0.018) in the whole study population. The expression of angiopoietin-2 and Tie-2 was stronger in distal omental metastasis than in primary high grade serous tumors in matched-pair analysis (p = 0.001; p = 0.002).ConclusionsThe angiogenic factor, angiopoietin-2, and its receptor Tie-2 seem to be significant prognostic factors in primary epithelial ovarian cancer. Their expression levels are also increased in metastatic lesions in comparison with primary tumors.
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Project description:Poor prognosis for acute cerebral infarction (ACI) was suggested to be predicted using the high expression of some novel molecular markers, for example long non-coding RNAs (lncRNAs). Differentially expressed lncRNAs in peripheral whole blood from the ACI patients and healthy volunteers(HVT) were identified using microarray and further verified by qRT-PCR. The clinical outcome evaluated by 3-month modified Rankin Score (mRS), stroke stratification classified by OCSP criteria, and the expression characteristics of specific lncRNAs were analyzed in ACI patients. Among 5686 differentially expressed lncRNAs screened out by the microarray, nine were verified by qRT-PCR. Particularly, the expression of NR_120420 and lnc-GCH1-2:3 in the ACI group were significantly higher than the HVT group. ROC analysis showed that the sensitivity and specificity of NR_120420 were 85.7% and 84.6% in patients with total anterior circulation infarction (TACI) respectively(area under curve，AUC=0.861), while the sensitivity and specificity of lnc-GCH1-2:3 were 85.7% and 82.1% in patients with TACI respectively(AUC=0.802). Multivariate logistic regression showed that NR_120420 was a significantly independent diagnostic factor for ACI. The elevated expression levels of NR_120420 and lnc-GCH1-2:3 were associated with the TACI stroke classification and the poor prognosis of ACI. Our study clearly illustrated that the elevated expression levels of circulating NR_120420 and lnc-GCH1-2:3 could predict the TACI stroke classification with high sensitivity and specificity and the poor prognosis of patients with ACI.
2021-03-18 | GSE102541 | GEO
Project description:Mutations in TRPS1 cause trichorhinophalangeal syndrome types I and III, which are characterized by sparse scalp hair in addition to craniofacial and skeletal abnormalities. Trps1 is a vertebrate transcription factor containing nine zinc-finger domains, including a GATA-type zinc finger through which it binds DNA. Mice in which the GATA domain of Trps1 has been deleted (Trps1∆gt/∆gt) have a reduced number of pelage follicles and lack vibrissae follicles postnatally. To identify the transcriptional targets of Trps1 in the developing vibrissa follicle, we performed microarray hybridization analysis comparing expression patterns in the whisker pads of wild-type versus Trps1∆gt/∆gt embryos. We identified a number of transcription factors and Wnt inhibitors among transcripts downregulated in the mutant embryos, and several extracellular matrix proteins there were upregulated in the mutant samples. Whole whisker pads were dissected from E12.5 embryos and total RNA was isolated using the RNeasy Mini Kit (Qiagen). Triplicate RNA samples from three independent embryos of each genotype were amplified and labeled for hybridization to Affymetrix GeneChip MOE430A microarrays using Affymetrix reagents and protocols. The data output was analyzed using GeneSpring GX 10.0 commercial software (Agilent Technologies). P-values were calculated using an unpaired t-test. Expression values with a p-value less than or equal to 0.05 and a fold difference of at least 1.5 relative to wild-type baseline expression levels were considered significant.
2011-12-22 | E-GEOD-33766 | biostudies-arrayexpress
Project description:Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry, imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.
2021-12-02 | GSE189843 | GEO
Project description:High-grade serous ovarian carcinoma (HGSOC) is generally associated with a very dismal prognosis. Nevertheless, patients with similar clinicopathological characteristics can have markedly different clinical outcomes. Our aim was the identification of novel molecular determinants influencing survival. Gene expression profiles of 12 HGSOC long-term and 27 short-term survivors (training set) were generated by microarray, and a prognostic signature was identified and further evaluated on an independent extensive HGSOC dataset through a meta-analysis approach.
2019-11-14 | GSE131978 | GEO
Project description:CD47 is an antiphagocytic signal that cancer cells employ to inhibit macrophage-mediated destruction. CD47 is overexpressed in various human malignancies. However, the expression and functional significance of CD47 in high-grade serous ovarian carcinoma (HGSOC) has not been completely understood. In this study, we reported that CD47 was commonly overexpressed in HGSOC. Higher CD47 expression was significantly correlated with poor prognosis of HGSOC patients. Functional investigations revealed that CD47 overexpression in ovarian cancer cells significantly promoted migration and invasion. Moreover, CD47 induced epithelial-mesenchymal transition (EMT) through modulating E-cadherin and N-cadherin. Our findings suggest that up-regulation of CD47 is correlated with ovarian cancer progression and it might be a potential biomarker for predicting clinical outcomes.
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