Trps1 predicts poor prognosis in advanced high grade serous ovarian carcinoma
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PROVIDER: PRJNA1051149 | ENA |
REPOSITORIES: ENA
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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:Multiple myeloma immunoglobulin lambda translocations portend poor prognosis
| PRJNA499054 | ENA
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:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets. Two conditions were compared and each sample has a biological replicate. Samples are hybridized in dye-swap, resulting in 4 hybridizations.
2010-07-20 | E-GEOD-15366 | biostudies-arrayexpress
Project description:Cancer tissue specimens from ARID1Ahigh and good prognosis and ARID1Alow and poor prognosis of patients with advanced gastric cancer were extracted and analyzed.
2018-02-06 | GSE110078 | GEO
Project description:Distinct gene expression profile between ARID1Ahigh and good prognosis and ARID1Alow and poor prognosis groups
| PRJNA432896 | ENA
Project description:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets.
2010-07-20 | GSE15366 | GEO
Project description:TRPS1 was recently identified as a radiation marker in breast cancer. In order to characterise the molecular phenotype that is associated with TRPS1 we knocked out the gene in two radiation-transformed breast cell lines.
2017-10-01 | E-MTAB-6008 | biostudies-arrayexpress
Project description:MYC regulation of a "poor prognosis" metastatic cancer cell state
| PRJNA111899 | ENA