Glucose Metabolic Remodeling through Phosphoenolpyruvate Carboxykinase Isoform 2 Regulates Prostate Cancer Cell Tumorigenicity
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Steven Hou
PROVIDER: E-GEOD-76470 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Patients with aggressive prostate cancer generally present with poor outcomes. Identifying the factors regulating prostate cancer aggressiveness may open new avenues in therapy. Specifically, information from prostate cancer patient databases revealed that higher phosphoenolpyruvate carboxykinase isoform 2 (PCK2) levels correlate with more aggressive tumors and lower survival rates. Herein, we show that high tumorigenic prostate cancer cell clones express high levels of PCK2. We found that elevated levels of PCK2 are critical for the glucose metabolic remodeling and the maintenance of tumor-initiating cells (TICs) in aggressive prostate cancer. Our data suggest that PCK2 promotes tumorigenicity by lowering acetyl-CoA levels through reducing the mitochondrial tricarboxylic acid (TCA) cycle. Thus, PCK2 is a potential therapeutic target for aggressive prostate cancer.
2016-01-04 | GSE76470 | GEO
Project description:EGR3 expression is upregulated in human prostate cancer compared to normal prostate tissue and is associated with absence of relapse, while low EGR3 expression in tumors is predicitive of disease relapse (Pio et al., PLOS One 2013; 8(1):e54096). However the function of EGR3 in prostate cancer is unknown. Human prostate cancer cells M12 containing high levels of EGR3 were used for shRNA-mediated silencing of EGR3. Gene expression analysis of EGR3 knockdown cells reveals a role in inflammation and the existence of a crosstalk with the NFkB pathway. The M12 prostate cancer cell line is a tumorigenic derivative of the P69 SV40-T immortalized epithelial cells obtained through serial passages of P69 tumor xenografts in mice (Bae et al., Prostate 1998; 34:275-82). M12 cells were transfected with shRNA scramble plasmid (shSCR) or shEGR3 plasmid and selected with puromycin (1 μg/ml). Single-cell clones were isolated using standard methods. Stably transfected cells (shSCR-M12 and shEGR3-M12) were then maintained in growth medium supplemented with puromycin. Two separate clones (termed cl 2 and cl 3) were studied. Knockdown of EGR3 (50% efficacy on average) was stable over many cell culture passages. Biological duplicates of control cells (scramble shRNA) and of two separate clones of shEGR3 cells (clone 2 and clone 3) were used for the gene expression arrays (i.e. 6 samples).
2013-11-06 | E-GEOD-52108 | biostudies-arrayexpress
Project description:Glucose Metabolic Remodeling through Phosphoenolpyruvate Carboxykinase Isoform 2 Regulates Prostate Cancer Cell Tumorigenicity
| PRJNA307536 | ENA
Project description:We have developed a novel spontaneous model of epithelial-to-mesenchymal transition (EMT) which involves four phenotypically distinct clones derived from a primary tumour-derived human prostate cancer cell line (OPCT-1), and its use to explore relationships between EMT and the generation of cancer stem cells (CSCs) in prostate cancer. Expression of epithelial (E-Cadherin) and mesenchymal markers (vimentin, fibronectin) revealed that two of the four clones were incapable of spontaneously activating EMT, whereas the others contained large populations of EMT-derived, vimentin-positive cells having spindle-like morphology. One of the two EMT-positive clones exhibited aggressively and stem cell-like characteristics, whereas the other was non-aggressive and had no stem cell phenotype. One of the two EMT-negative clones exhibited aggressive stem cell-like properties, whereas the other was the least aggressive of all clones. To understand this phenotypic differences between the clones we have conducted a microarray expression profiling experiment using Affymetrix platform.
2016-07-22 | E-MTAB-4966 | biostudies-arrayexpress
Project description:Clinical management of prostate cancer remains a significant challenge due to the lack of available tests for guiding treatment decisions. The blood Prostate-Specific Antigen (PSA) test has facilitated early detection and intervention of prostate cancer. However, blood PSA levels are less effective in distinguishing aggressive from indolent prostate cancers and other benign prostatic diseases. Thus, the development of novel approaches specific for prostate cancer that can differentiate aggressive from indolent disease remains an urgent medical need. In the current study, we evaluated urine specimens from prostate cancer patients instead of serum using liquid chromatography-tandem mass spectrometry (LC-MS/MS), with the aim of identifying effective prostate cancer biomarkers. Glycoproteins from urine samples of prostate cancer patients with different Gleason scores were characterized via solid phase extraction of N-linked glycosite-containing peptides and LC-MS/MS. In total, 2923 unique glycosite-containing peptides were identified. Comparison of urine-based glycoproteins with those identified from aggressive and non-aggressive prostate cancer tissues as well as sera from prostate cancer patients revealed that the majority of aggressive prostate cancer-associated glycoproteins were more readily detected in patient urine than serum samples. Our data collectively indicate that urine provides a highly reliable source for biomarker testing in patients with aggressive prostate cancer.
2022-02-28 | PXD004495 | Pride
Project description:High-density phage epitope microarray from 31 samples were used for unsupervised analysis (GSM36153...GSM36183). 129 samples from prostate cancer patients and controls were screened on small focused epitope chips, which contained 180 phage elements. These data were used to train GA/KNN program (GSM36184...GSM36312). 128 samples from localized prostate cancer patients and controls were screened on small focused epitope chips. These independent data were used to validate the epitomic profile (GSM36313...GSM36375, GSM40203...GSM40213, GSM40216, GSM40218, GSM40219, GSM40222, GSM40225, GSM40227, GSM40229, GSM40233, GSM40237, GSM40246...GSM40294). Three subgroups of samples were used as test sets to validate the specificity of epitomic profile (GSM36376...GSM36410, GSM40214, GSM40215, GSM40217, GSM40220, GSM40221, GSM40224, GSM40226, GSM40228, GSM40231, GSM40234...GSM40236, GSM40238...GSM40244). Project----Identification of humoral signature for prostate cancer diagnosis We constructed a prostate cancer cDNA phage display library. cDNAs were reverse-synthesized from mDNA pool isolated from prostate cancer tissues. Enzyme-digested cDNA fragments were then inserted into phage vector to make a whole prostate cancer phage expressed cDNA library. In order to select cancer specific phage epitope from this library, we performed several cycles of affinity enrichment. We used the bounded IgG pool isolated from prostate cancer patient sera to select the tumor specific phage epitope clones. Once we had the enriched phage epitope library, we cultured the phage library on LB-agar dish for individual phage colonies. About 2300 phage colonies from agar dish were picked up using toothstick and cultured in 96-well microtiter plates. Each clone was labeled as microtiter plate #, column #, row#, i.e. clone ID. These 2300 clones were then spotted on slides in single spot (no any duplicate), i.e. each spot (labeled by clone ID) represents a single phage clone. The phage epitope microarrays were then screened using cancer or control sera. We employed two color system. Cy5-anti human IgG was to detect human IgG. For green color, we used Cy3-labeled anti-phage capsid protein as internal reference to normalize the ammount difference of phage particles spotted on each spot. Thus the ratio of Cy5/Cy3 would count for the immune response in cancer or control sera. Once we identified humoral signature in prostate cancer patients, we could sequence the phage clone to characterize the nature of the genes or proteins.
2005-10-04 | E-GEOD-2010 | biostudies-arrayexpress
Project description:High-density phage epitope microarray from 31 samples were used for unsupervised analysis (GSM36153...GSM36183). 129 samples from prostate cancer patients and controls were screened on small focused epitope chips, which contained 180 phage elements. These data were used to train GA/KNN program (GSM36184...GSM36312). 128 samples from localized prostate cancer patients and controls were screened on small focused epitope chips. These independent data were used to validate the epitomic profile (GSM36313...GSM36375, GSM40203...GSM40213, GSM40216, GSM40218, GSM40219, GSM40222, GSM40225, GSM40227, GSM40229, GSM40233, GSM40237, GSM40246...GSM40294). Three subgroups of samples were used as test sets to validate the specificity of epitomic profile (GSM36376...GSM36410, GSM40214, GSM40215, GSM40217, GSM40220, GSM40221, GSM40224, GSM40226, GSM40228, GSM40231, GSM40234...GSM40236, GSM40238...GSM40244). Project----Identification of humoral signature for prostate cancer diagnosis We constructed a prostate cancer cDNA phage display library. cDNAs were reverse-synthesized from mDNA pool isolated from prostate cancer tissues. Enzyme-digested cDNA fragments were then inserted into phage vector to make a whole prostate cancer phage expressed cDNA library. In order to select cancer specific phage epitope from this library, we performed several cycles of affinity enrichment. We used the bounded IgG pool isolated from prostate cancer patient sera to select the tumor specific phage epitope clones. Once we had the enriched phage epitope library, we cultured the phage library on LB-agar dish for individual phage colonies. About 2300 phage colonies from agar dish were picked up using toothstick and cultured in 96-well microtiter plates. Each clone was labeled as microtiter plate #, column #, row#, i.e. clone ID. These 2300 clones were then spotted on slides in single spot (no any duplicate), i.e. each spot (labeled by clone ID) represents a single phage clone. The phage epitope microarrays were then screened using cancer or control sera. We employed two color system. Cy5-anti human IgG was to detect human IgG. For green color, we used Cy3-labeled anti-phage capsid protein as internal reference to normalize the ammount difference of phage particles spotted on each spot. Thus the ratio of Cy5/Cy3 would count for the immune response in cancer or control sera. Once we identified humoral signature in prostate cancer patients, we could sequence the phage clone to characterize the nature of the genes or proteins. Keywords: autoantibody signatures
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Project description:Decreased intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, the mechanism underlying this association remains inconclusive since additional factors dictate tumor aggressiveness. Here, we study the mechanisms responsible for the immune escape of tumors bearing low ITH. We compare homogeneous, genetically similar single-cell clones that are rejected vs. non-rejected after transplantation. We followed the growth of these clone-derived tumors over time using single-cell RNA sequencing and immunophenotyping. Non-rejected clones show high infiltration of tumor-associated macrophages (TAM), increased Mif expression, lower T-cell infiltration, and increased T-cell exhaustion. Mif KO led to smaller tumors and reversed these immune phenotypes, validating its role in the growth of low ITH tumors. Mif secretion by these tumor cells causes TAM infiltration, thus contributing to an immunosuppressive environment that supports aggressive growth. We validated this result in melanoma patient data, confirming that high levels of MIF distinguish aggressive from non-aggressive ITHs.
2023-12-12 | GSE247057 | GEO