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Results for “expression atlas”

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PubMed1998

CXCR-4, a chemokine receptor, is overexpressed in and required for proliferation of glioblastoma tumor cells.

BACKGROUND AND OBJECTIVES: Using the technique of differential hybridization of Atlas Human cDNA expression arrays, we previously reported the isolation of a G protein coupled receptor, CXCR-4, which is overexpressed in glioblastoma multiforme tumor tissue (GMTT) compared to normal brain tissue (NBT). METHODS: Using gene specific reverse transcriptase-polymerase chain reaction (RT-PCR) and in situ hybridization, we studied its expression in a variety of brain and breast tumor tissue samples. To demonstrate the requirement of CXCR-4 in glioblastoma cell proliferation an antisense construct was overexpressed. Glioblastoma cells were also treated with antibodies against CXCR-4 and its ligand, SDFbeta-1. RESULTS: Expression analysis indicated that CXCR-4 is overexpressed in 57% of the primary glioblastoma tissues and in 88% of the glioblastoma cell lines analyzed. Overexpression of CXCR-4 in glioblastoma cell lines enhanced their soft agar colony-forming capability. Expression of anti-sense CXCR-4 in glioblastoma cell lines caused neurite outgrowth and cellular differentiation. Treatment of glioblastoma cell lines with CXCR-4 and SDFbeta-1 specific antibodies caused inhibition of glioblastoma cell proliferation. CONCLUSIONS: On the basis of these results, we conclude that CXCR-4 gene is required for the proliferation of human glioblastoma tumors.

Brain Neoplasms↗

PubMed2026

Epigenetic Reactivation of TNFRSF19 Suppresses Mitophagy and Sensitizes Triple-Negative Breast Cancer to Doxorubicin.

Doxorubicin remains an important component of chemotherapy for triple-negative breast cancer (TNBC), yet chemoresistance severely limits its clinical efficacy. Here, we identify Tumor necrosis factor receptor superfamily member 19 (TNFRSF19) as an epigenetically silenced gene that critically regulates doxorubicin response. Integrative analyses of The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and clinical cohorts reveal that high TNFRSF19 expression predicts superior pathological complete response and improved survival in doxorubicin-treated TNBC patients. Mechanistically, TNFRSF19 binds the kinase domain of TGFBR1 via its intracellular domain, disrupting TGFBR1-SMAD3 complex formation and thereby inhibiting SMAD3 phosphorylation, nuclear translocation, and transcriptional activation of PTEN-induced putative kinase 1 (PINK1). This suppresses PINK1/Parkin-mediated mitophagy, contributing to mitochondrial dysfunction, reactive oxygen species (ROS) accumulation, and amplified DNA damage upon doxorubicin treatment. Notably, TNFRSF19 is downregulated in TNBC due to DNA hypermethylation, and decitabine restores its expression via promoter demethylation, thereby enhancing the therapeutic efficacy of doxorubicin in vitro and in vivo. Collectively, these findings establish TNFRSF19 as a critical epigenetic regulator of mitophagy, highlighting its potential as a predictive biomarker for doxorubicin response and a therapeutic target for sensitizing TNBC to doxorubicin.

DNA methylation↗

PubMed2004

Gene array identification of osteoclast genes: differential inhibition of osteoclastogenesis by cyclosporin A and granulocyte macrophage colony stimulating factor.

Treatment of adherent peripheral blood mononuclear cells (PBMCs) with macrophage colony stimulating factor (M-CSF) and receptor activator of NF-kappaB ligand (RANKL) stimulates the formation of multinucleate osteoclast-like cells. Treatment with M-CSF alone results in the formation of macrophage-like cells. Through the use of Atlas human cDNA expression arrays, genes regulated by RANKL were identified. Genes include numerous cytokines and cytokine receptors (RANTES and CSF2R proportional, variant ), transcription factors (nuclear factor of activated T-cells cytoplasmic 1 (NFATc1) and GA binding protein transcription factor alpha (GABPalpha)), and ribosomal proteins (60S L17 and 40S S20). Real-time PCR analysis showed significant correlation (R2 of 0.98 P < 0.01) with array data for all genes tested. Time courses showed differential activation patterns of transcription factors with early induction of FUSE binding protein 1 (FBP) and c-Jun, and later steady upregulation of NFATc1 and GABP by RANKL. Treatment with cyclosporin A, a known NFATc1 inhibitor, resulted in a blockade of osteoclast formation. The mononuclear cells resulting from high cyclosporin treatment (1,000 ng/ml) were cathepsin K (CTSK) and tartrate-resistant acid phosphatase (TRAP) positive but expression of calcitonin receptor (CTR) was downregulated by more than 30-fold. Constant exposure of M-CSF- and RANKL-treated cells to GM-CSF resulted in inhibition of osteoclast formation and the downregulation of CTSK and TRAP implicating the upregulation of CSF2R in a possible feedback inhibition of osteoclastogenesis.

Carrier Proteins↗

PubMed2006

Evidence for the presence of the type 2 corticotropin releasing factor receptor in the rodent cerebellum.

Corticotropin releasing factor (CRF), localized in afferent inputs to the cerebellum, binds to two receptors defined as the Type 1 (CRF-R1) and the Type 2 (CRF-R2alpha). CRF-R1 has been localized to the cerebellum, as has a truncated isoform of CRF-R2alpha. Evidence for the presence of the full length isoform of CRF-R2alpha in the cerebellum is conflicting. We used RT-PCR, immunohistochemical, and physiologic techniques to resolve this conflict. RT-PCR data show low levels of CRF-R2alpha in the vermis and hemisphere of the cerebellum. These observations were confirmed by the Gene Expression Nervous System Atlas (GENSAT) database. A CRF-R2alpha antibody was used to determine the cellular distribution of the receptor in the cerebellum. The vast majority of the receptors are localized to Bergmann glial cells located throughout the cerebellum, as well as astrocytes in the granule cell layer. Neuronal labeling is present in sub-populations of Purkinje cells, Golgi cells, basket cells, and cerebellar nuclear neurons. Physiologic data show that urocortin II, which binds selectively to CRF-R2alpha, increases the firing rate of both Purkinje cells and nuclear neurons; this response can be blocked by the CRF-R2alpha-specific antagonist, antisauvagine-30. The present results confirm that CRF-R2alpha is present in the cerebellum and functions in circuits that modulate the firing rate of Purkinje cells and cerebellar nuclear neurons. A comparative analysis showed that the patterns of distribution of CRF-R1, CRF-R2alpha and CRF-R2alpha-tr are distinct. These data indicate that the CRF family of peptides modulates cerebellar output by binding to multiple CRF receptors.

Animals↗

PubMed2024

Construction and Analysis of a Mitochondrial Metabolism-Related Prognostic Model for Breast Cancer to Evaluate Survival and Immunotherapy.

As one of the most prevalent malignancies among women, breast cancer (BC) is tightly linked to metabolic dysfunction. However, the correlation between mitochondrial metabolism-related genes (MMRGs) and BC remains unclear. The training and validation datasets for BC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases, respectively. MMRG-related data were obtained from the Molecular Signatures Database. A risk score prognostic model incorporating MMRGs was established based on univariate, LASSO, and multivariate Cox regression analyses. Independent factors affecting BC prognosis were identified through regression analysis and presented in a nomogram. Single-sample gene set enrichment analysis was employed to assess the immune levels of high-risk (HR) and low-risk (LR) groups. The sensitivity of BC patients in the two groups to common anti-tumor drugs was evaluated by utilizing the Genomics of Drug Sensitivity in Cancer database. 12 MMRGs significantly associated with survival were selected from 1234 MMRGs. A 12-gene risk score prognostic model was built. In the multivariate regression analysis incorporating classical clinical factors, the MMRG-related risk score remained an independent prognostic factor. As revealed by tumor immune microenvironment analysis, the LR group with higher survival rates had elevated immune levels. The drug sensitivity results unmasked that the LR group demonstrated higher sensitivity to Irinotecan, Nilotinib, and Oxaliplatin, while the HR group demonstrated higher sensitivity to Lapatinib. The development of MMRG characteristics provides a comprehensive understanding of mitochondrial metabolism in BC, aiding in the prediction of prognosis and tumor microenvironment, and offering promising therapeutic choices for BC patients with different MMRG risk scores.

Humans↗

PubMed2026

FASN Promotes Malignant Progression of Bladder Cancer by Regulating Lipid Metabolism via the ERK/PPAR Pathway.

Among urological cancers, bladder cancer (BC) is one of the main causes of morbidity and death. Although the lipogenic enzyme fatty acid synthase (FASN) is known to aid in the growth of tumors, its precise role and mechanism in bladder cancer remain unclear. The effects and mechanisms of FASN in BC are examined in this study. Using information from The Cancer Genome Atlas (TCGA), the expression and prognostic significance of FASN were examined. Functional assays, including CCK-8, apoptosis, Transwell, and scratch-wound experiments, were conducted in BIU-87 and T24 cells after FASN knockdown and treatment with the ERK activator TBHQ. Western blot analysis assessed key proteins of the ERK/PPARγ pathway, such as PPARα, PPARγ, and p-ERK1/2, along with the lipid metabolism marker CD36. Metabolite levels, including free fatty acids, acyl-coenzyme A, and triglycerides, were quantified. Finally, an in vivo subcutaneous xenograft model was established to validate these findings. In BC tissues, FASN expression was markedly increased and associated with lower overall survival. FASN knockdown increased apoptosis while inhibiting BC cell motility, invasion, and proliferation. These phenotypic changes were associated with downregulation of the ERK/PPARγ pathway and reduced fatty acid uptake and metabolite levels. Both in vitro and in vivo, treatment with TBHQ effectively reversed the tumor-suppressive effects and metabolic alterations induced by FASN knockdown, confirming the involvement of ERK signaling. This study therefore demonstrates that FASN promotes BC progression by modulating the ERK/PPARγ pathway and lipid metabolism. Targeting FASN or its upstream activator ERK could thus provide a therapeutic strategy to inhibit BC growth.

Humans↗

PubMed2026

Prognostic model based on calcium-related genes predicts prognosis and reveals the immune landscape of acute myeloid leukemia.

Acute myeloid leukemia (AML) exhibits heterogeneous outcomes and lacks reliable prognostic markers. As a critical regulator of cell fate, the prognostic value of calcium signaling in AML requires investigation. This study aimed to construct a calcium-related gene (CRG)-based prognostic model for AML. Differential analysis on RNA-seq data was conducted for AML from The Cancer Genome Atlas and Gene Expression Omnibus (GEO). Intersecting differentially expressed genes and CRGs yielded AML-associated differentially expressed CRGs (DECRGs). A prognostic model was developed using univariate/multivariate Cox regression and least absolute shrinkage and selection operator (LASSO) and validated in a GEO dataset. Bioinformatics analyses explored the links between risk groups and immune characteristics, genomic mutations, and drug sensitivity. Key genes' effects on cell proliferation, apoptosis, and differentiation were verified in vitro using CCK-8 assay, colony formation assay, and flow cytometry. The 13-DECRG-based model distinguished high- and low-risk patients in both training and validation cohorts, with high-risk patients showing a worse prognosis. The risk score was an independent prognostic factor. Immune analysis revealed a unique immune microenvironment for the high-risk group. CAMK2A overexpression inhibited cell proliferation and colony-forming ability, promoted cell apoptosis, and induced an increased proportion of CD11b- and CD14-positive cells. In vitro experiments indicated CAMK2A-induced suppression of AML cells' malignant phenotype by activating the P53 signaling pathway. An AML CRG-based model with favorable risk stratification performance was constructed. In vitro experiments revealed CAMK2A-induced inhibition of the malignant phenotype via suppressing proliferation, promoting apoptosis, and facilitating myeloid differentiation in AML cells. This study provides novel evidence for understanding CRGs in AML as well as the potential functions of CAMK2A.

Journal Article↗

PubMed2006

T1DBase: integration and presentation of complex data for type 1 diabetes research.

T1DBase (http://T1DBase.org) [Smink et al. (2005) Nucleic Acids Res., 33, D544-D549; Burren et al. (2004) Hum. Genomics, 1, 98-109] is a public website and database that supports the type 1 diabetes (T1D) research community. T1DBase provides a consolidated T1D-oriented view of the complex data world that now confronts medical researchers and enables scientists to navigate from information they know to information that is new to them. Overview pages for genes and markers summarize information for these elements. The Gene Dossier summarizes information for a list of genes. GBrowse [Stein et al. (2002) Genome Res., 10, 1599-1610] displays genes and other features in their genomic context, and Cytoscape [Shannon et al. (2003) Genome Res., 13, 2498-2504] shows genes in the context of interacting proteins and genes. The Beta Cell Gene Atlas shows gene expression in beta cells, islets, and related cell types and lines, and the Tissue Expression Viewer shows expression across other tissues. The Microarray Viewer shows expression from more than 20 array experiments. The Beta Cell Gene Expression Bank contains manually curated gene and pathway annotations for genes expressed in beta cells. T1DMart is a query tool for markers and genotypes. PosterPages are 'home pages' about specific topics or datasets. The key challenge, now and in the future, is to provide powerful informatics capabilities to T1D scientists in a form they can use to enhance their research.

Animals↗

PubMed2026

PSMB8: an immune-related prognostic marker for low-grade gliomas.

BACKGROUND: Glioma is the most common primary intracranial tumor in adults. As a subunit of immune proteasome, proteasome subunit beta type-8 (PSMB8) may regulate the progression of glioma via participating in degradation and presentation of tumor antigenic peptides, but its prognostic and clinical applicant usage is under investigation. Therefore, this study aimed to comprehensively evaluate the prognostic significance of PSMB8 in low-grade glioma (LGG) and to elucidate its association with the tumor immune microenvironment and potential as a predictor for immunotherapy response. METHODS: Transcriptome data were downloaded from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), Gene Expression Omnibus (GEO) repositories. The correlations between PSMB8 expression and the clinicopathological features of LGG were investigated in our study, and the prognostic role of PSMB8 in LGGs was assessed fully and comprehensively. Furthermore, we evaluated the correlation between PSMB8 expression and LGG immune environment via the experiments and bioinformatic analysis. RESULTS: Our results indicated that, PSMB8 were highly expressed in most tumor tissues, including LGG. Lower expression of PSMB8 was significantly correlated with lower World Health Organization (WHO) grade and isocitrate dehydrogenase (IDH) mutation status. Moreover, PSMB8 showed a promising prognostic ability for LGG patients via nomogram model and receiver operating characteristic (ROC) curves. Association analysis showed that PSMB8 expression was associated with immune cell infiltration in a variety of tumors, including LGG. Our experiments validated the positive correlation between PSMB8 expression and M2-macrophage infiltration level in clinical LGG tissues and invasive ability of LGG cell. CONCLUSIONS: PSMB8 could be used as one of the prognostic indicators of LGG and it could regulate the LGG cell migratory and invasive ability. Besides, PSMB8 is expected to be a promising biomarker of cancer immunotherapy.

Low-grade glioma (LGG)↗

PubMed2026

Development and internal validation of a six-gene prognostic model based on galactose metabolism for overall survival in lung adenocarcinoma.

BACKGROUND: Lung cancer remains a leading cause of cancer incidence and mortality globally. Metabolic reprogramming promotes tumor progression and shapes an immunosuppressive tumor microenvironment. Galactose metabolism is involved in multiple malignancies, but its prognostic value in lung adenocarcinoma (LUAD) remains unclear. This study aimed to develop and internally validate a galactose metabolism-related multigene prognostic model for LUAD. METHODS: A retrospective prognostic model development and internal validation study was performed using RNA sequencing (RNA-seq) and clinical data from 585 LUAD patients in The Cancer Genome Atlas (TCGA). Differential expression, functional enrichment, univariate and multivariate Cox regression were applied to construct a prognostic gene signature. Internal validation was performed using bootstrap resampling. Model performance was evaluated by time-dependent receiver operating characteristic (ROC), C-index, calibration, and Kaplan-Meier analysis. Associations between the model and immune infiltration, immunotherapy responsiveness, and tumor stemness were also analyzed. RESULTS: A six-gene prognostic model (GALT, GANC, PGM1, GALM, B4GALT1, PGM2) was developed. The model showed good discrimination with 1-, 3-, and 5-year area under the curve (AUC) values of 0.719, 0.693, and 0.684, respectively. The low-risk group exhibited significantly longer survival, increased antitumor immune infiltration (CD8+ T cells, M1 macrophages, activated CD4+ memory T cells), higher expression of T cell proliferation-related genes, lower immune checkpoint expression, better predicted immunotherapy response, and lower tumor stemness compared with the high-risk group. CONCLUSIONS: We developed and internally validated a six-gene prognostic model for LUAD based on galactose metabolism. The model shows moderate prognostic performance and is associated with antitumor immunity and tumor stemness. It may be used for prognostic risk stratification and to guide personalized immunotherapy in LUAD.

Galactose metabolism↗

PubMed2026

Identification of a novel signature for prognostic stratification and integrative analyses in lung adenocarcinoma.

BACKGROUND: Recently, research has revealed that the Golgi apparatus is involved in the development process of cancer; however, the specific effect of Golgi apparatus-related genes (GAGs) in lung adenocarcinoma (LUAD) remains unclear. This study aims to construct a more concise and practical risk model in LUAD using GAG. METHODS: The gene expression profiles of patients with LUAD were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and GAGs were downloaded from the Gene Set Enrichment Analysis (GSEA) database. Univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses were performed to identify the prognostic GAG signature. Kaplan-Meier and receiver operating characteristic (ROC) curves were plotted to validate the predictive effect of the prognostic signatures. The correlation between the risk model and the immune landscape was examined using CIBERSORT and TIDE analyses. Also, the genes in the signature were assessed by single-cell RNA sequencing (scRNA-seq). RESULTS: A prognostic signature comprising 5 GAG genes (GNPNAT1, RGS20, CAV3, NTSR1, and FURIN) was established after LASSO and multi-Cox analyses. Both the Kaplan-Meier analysis and the ROC curves supported the strong predictive utility of the risk model. Specifically, the former yielded significant stratification in all three validation datasets (P=1.2001e-05, P=0.006, and P=0.04), while the latter provided further evidence of its predictive precision through the area under the curve. In addition, we found that the low-risk group responded better to immunotherapy than the high-risk group (P<0.0001). scRNA-seq analysis revealed the distribution patterns of the 5 GAG genes in cells. Finally, we assessed the situation of tumor mutation burden (TMB) and performed functional analysis based on the risk model of GAGs. CONCLUSIONS: The risk model based on GAGs can effectively stratify the prognosis of patients and predict immunotherapy responses in LUAD.

Golgi apparatus↗

PubMed2026

Microplastics and nanoplastics-related genes signature predicts prognosis in pancreatic ductal adenocarcinoma and functional validation of interleukin 1 alpha.

BACKGROUND: Microplastics and nanoplastics (MNPs), as emerging environmental pollutants, have garnered significant attention from the global scientific community due to their potential threats to human health, particularly their association with the occurrence and development of cancer. The goal of our study is to create a predictive marker for pancreatic ductal adenocarcinoma (PAAD) based on MNPs-related genes, with the purposes of predicting survival outcomes and assessing the tumor immune microenvironment. METHODS: Using multi-cohort data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and International Cancer Genome Consortium (ICGC), we assessed the association between MNPs and PAAD prognosis through the Xiantao Academic (https://www.xiantao.love/). The development of a prognostic signature was followed by an assessment of its significance through the Kaplan-Meier method, time-dependent receiver operating characteristic (ROC), and decision curve analysis (DCA). The validity of the risk model was confirmed through the ICGC and GSE71729 cohorts. The model was then assessed for levels of tumor immune infiltration. To explore MNPs-related genes expression characteristics within immune cells in PAAD, we performed single-cell RNA sequencing and spatial transcriptomics analysis through the Sparkle Platform (https://grswsci.top/). Finally, in vitro experiments were conducted to investigate the biological function of interleukin 1 alpha (IL1A). RESULTS: A four-gene signature comprising XDH, IL1A, KIF20A, and ASPM, based on MNPs, was developed to stratify PAAD patients into two distinct risk groups. The high-risk group showed a significantly poorer prognosis. A similar trend was verified in the external cohorts ICGC and GSE71729. The signature risk score affected immune cell infiltration in the PAAD microenvironment. The infiltration of B cells, CD8+ T cells, cytotoxic cells, immature dendritic cells (iDCs), mast cells, plasmacytoid dendritic cell (pDC), T cells, Tem cells, T follicular helper (TFH) cells, and T helper 17 (Th17) cells had a positive correlation with the low-risk group. In contrast, high-risk patients tended to have increased number of T helper (Th2) cells and higher expression of SIGLEC15, CD274, IGSF8. Knockdown of IL1A in PAAD cells inhibited their tumor proliferation ability in vitro. CONCLUSIONS: Using MNPs-related genes, we built a prognostic model for PAAD, revealing that patients with high-risk scores are likely to have a worse prognosis. This model is designed to develop personalized treatment strategies tailored to the specific needs of each patient, thereby improving clinical outcomes for PAAD patients. Furthermore, IL1A could be a promising therapeutic candidate for PAAD.

Microplastics↗

PubMed2025

Impaired natural killer cell maturation in lung adenocarcinoma driven by FABP4 and SPON2 downregulation through disrupted lipid metabolism.

BACKGROUND: Although natural killer (NK) cells play a crucial role in antitumor immunity, the metabolic changes driving their dysfunction in lung adenocarcinoma remain poorly understood. This study investigates how these metabolic modifications impact NK cell function within the lung adenocarcinoma microenvironment. METHODS: A total of 13 pairs of lung adenocarcinoma samples were obtained from The Cancer Genome Atlas. Differential gene expression, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and single-cell metabolic quantification analyses were used to characterize the transcriptomic, pathway, and metabolic signatures of NK cells. The developmental trajectory was reconstructed via pseudotime analysis. The fatty acid-binding protein 4 (FABP4) and spondin2 (SPON2) expression was examined using immunofluorescence (IF) and immunohistochemistry (IHC) in patients with lung adenocarcinoma. In NK cells with FABP4 downregulation, FABP4 function was analyzed using antibody-independent cell-mediated cytotoxicity assays, flow cytometry (FCM), and liquid chromatography-mass spectrometry. RESULTS: The number of NK cells was significantly decreased in the lung adenocarcinoma microenvironment. FABP4 and SPON2 expression was significantly lower in NK cells within tumor tissues than in the adjacent tissues. FABP4 expression was significantly lower in tumor tissues than in the adjacent tissues, whereas no significant difference in SPON2 expression was observed. The cytotoxic function of NK cells with decreased FABP4 levels was impaired. Non-targeted lipid metabolism analysis indicated that differentially expressed lipids in NK cells with low FABP4 levels were functionally enriched in the glycerophospholipid metabolism pathway compared to those in normal NK cells. CONCLUSIONS: The study findings present new evidence showing that low FABP4 and SPON2 gene expression may impair NK cell maturity by affecting lipid metabolism in lung adenocarcinoma. These results provide a new perspective on restoring immune function in patients with lung cancer.

FABP4↗

PubMed2001

[cDNA expression array in the differential expression profiles of p53 regulated genes in nasopharyngeal carcinoma and the human normal nasopharynx].

OBJECTIVE: To compare the gene expression map of nasopharyngeal carcinoma (NPC) tissue with that of the control tissue by cDNA array and to discuss possible reasons of TP53 accumulation in NPC tissue. METHODS: After the hybridization of Atlas human cancer cDNA expression array 7742-1, analysis of Atlas arrays by means of AtlasImage 1.01a was carried out. Then, the results of array were verified by reverse transcription-polymerase chain reaction (RT-PCR). Gene expression alteration on the protein level was verified by immunohistochemistry. RESULTS: 134 of 588 tumor-related genes were upregulated and 88 downregulated. Thirteen of 32 p53-regulated genes showed differential expression with 11 upregulated and 2 downregulated. CONCLUSION: (1) p53 dysfunction exists in NPC tissues, (2) MDM2, p21 and Bax may be involved in the regulation of nasopharyngeal carcinoma cell growth.

DNA, Complementary↗

PubMed2002

Analysis of differentially expressed genes in hepatocellular carcinoma using cDNA arrays.

Hepatocellular carcinoma (HCC) is characterized by multiple somatic mutations, including DNA rearrangements, that affect many cell-growth regulatory pathways. Many genes differentially expressed in HCC have been reported previously, but the patterns of expression varied significantly between patients who bore different risk factors for HCC. To identify genes whose differential expression could serve as a "signature" for diagnosis and prognosis of HCC, we performed analyses of differentially expressed genes in three cases of HCC with different risk factors using the Atlas Human Cancer cDNA Expression Arrays. Among all 597 genes present on the array, only three were found to be coordinately differentially expressed in all three HCC cases, in agreement with published data. These three genes, Cu/Zn superoxide dismutase, osteonectin/secreted protein acidic and rich in cysteine, and matrix metalloproteinase 14, could serve as candidates for the HCC "signature." Ten genes were found to be coordinately differentially expressed in only two of three tested HCC cases. On the other hand, many genes that had been reported previously as differentially expressed in HCC failed to show the described pattern of expression in this group. The results of this study confirm the great variability in gene-expression patterns in HCC and establish the utility of the array technology for identifying both the HCC signature genes and individual gene-expression patterns for purposes of patient-oriented therapy.

Aged↗

PubMed2003

Gene expression profile in oral squamous cell carcinomas and matching normal oral mucosal tissues from black Africans and white Caucasians: the case of the Sudan vs. Norway.

Expression profile of 588 known genes relating to tumour biology, was examined between oral squamous cell carcinomas (OSCCs) and matching normal oral mucosal tissues (NOMTs) obtained from Sudanese (n=11) and Norwegian (n=11) patients. cDNA probes were synthesised from total RNA and hybridised with the Atlas human cancer cDNA expression array membranes. RT-PCR and immunohistochemistry were applied to confirm the expression pattern of a subset of the 588 genes. Differences in expression of the genes examined were found between the OSCCs and the NOMTs on the Atlas membranes. Several of these genes were either up- or down-regulated 1.6-fold or higher in the OSCCs compared to the NOMTs in the cases from the two populations. We found that 181 (31%) and 195 (33%) genes were either up-regulated or down-regulated in the OSCCs from the Sudan and Norway, respectively. From the total number of genes (n=376) found expressed in the OSCCs investigated from the two countries, 53 genes (14%) showed common expression profile [35 (66%) were up-regulated and 18 (34%) were down-regulated] and 70 genes (19%) showed opposite regulation status. Results of the RT-PCR and immunohistochemistry confirmed the hybridisation data. These findings may provide an OSCCs-specific gene expression profile in patients from the two countries, suggesting that alterations of 123 genes are common in these OSCCs regardless of ethnic differences or other socio-cultural risk factors between the patients from the two countries. The findings might further suggest that specific genes are frequently involved in these OSCCs, which may provide novel clues as diagnostic, prognostic biomarkers and/or targets for therapy. The Atlas human cancer cDNA expression array technique can be useful to examine and describe the expression profile of known genes frequently involved in OSCCs from different populations.

Adult↗

PubMedDate not supplied

Gene expression analysis in the ventral prostate of rats exposed to vinclozolin or procymidone.

Vinclozolin and procymidone are antiandrogens that are thought to share a common androgen receptor (AR) mediated mechanism of action. This assessment is based primarily on morphological, AR binding, and in vitro transcriptional activation studies. Studies designed to evaluate the gene expression profiles induced by these compounds have the potential to provide further information to test this hypothesis. We have used targeted gene arrays to examine gene expression in the ventral prostate (VP) of 100-day old Sprague Dawley male rats exposed to either vinclozolin or procymidone. Animals were castrated and administered silastic implants with or without testosterone. A subset of testosterone treated animals was then dosed with 200 mg/kg of either fungicide in corn oil. Four treatment groups were used: castrated (C), testosterone (T), testosterone+vinclozolin (V), and testosterone+procymidone (P). Tissue from the VP was collected from six animals per group (3 animals per block x 2 blocks) at 20 h and at 4 days after the start of treatment. Total RNA was then isolated and gene expression analyzed using Clontech Atlas Rat 1.2 Toxicology arrays. When compared to group T, similar changes in gene expression were observed in groups C, P and V at both the 20 h and 4 day time points. After 20 h of treatment, 20 genes were similarly affected across these three treatment groups. Down-regulated genes included various molecular chaperones, the 11-kDa diazepam binding inhibitor, cyclin D1, and mitochondrial aspartate aminotransferase. Genes such as the androgen receptor, PTEN, and ERK2 were up-regulated. Three of the down-regulated genes, GRP78 (BiP), Dad1, and mitochondrial aspartate aminotransferase have been previously shown to be directly androgen regulated. Fifty-four genes were affected at 20 h, whereas, 311 genes were altered 4 days after the start of treatment. These observations, in part, may reflect regression of the VP at the later time point. These results support the hypothesis that procymidone and vinclozolin share a common mechanism or mode of action, a critical step in a cumulative risk assessment.

Administration, Oral↗

PubMed2024

Inhibiting the expression of spindle appendix cooled coil protein 1 can suppress tumor cell growth and metastasis and is associated with cancer immune cells in esophageal squamous cell carcinoma.

Inhibiting the expression of spindle appendix cooled coil protein 1 (SPDL1) can slow down disease progression and is related to poor prognosis in patients with esophageal cancer. However, the specific roles and molecular mechanisms of SPDL1 in esophageal squamous cell carcinoma (ESCC) have not been explored yet. The current study aimed to investigate the expression levels of SPDL1 in ESCC via transcriptome analysis using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. Moreover, the biological roles, molecular mechanisms, and protein networks involved in SPDL1 were identified using machine learning and bioinformatics. The cell counting kit-8 assay, EdU staining, and transwell assay were used to investigate the effects of inhibiting SPDL1 expression on ESCC cell proliferation, migration, and invasion. Finally, the correlation between the SPDL1 expression and cancer immune infiltrating cells was evaluated by analyzing data from the TCGA database. Results showed that SPDL1 was overexpressed in the ESCC tissues. The SPDL1 expression was related to age in patients with ESCC. The SPDL1 co-expressed genes included those involved in cell division, cell cycle, DNA repair and replication, cell aging, and other processes. The high-risk scores of SPDL1-related long non-coding RNAs were significantly correlated with overall survival and cancer progression in patients with ESCC (P < 0.05). Inhibiting the SPDL1 expression was effective in suppressing the proliferation, migration, and invasion of ESCC TE-1 cells (P < 0.05). The overexpression of SPDL1 was positively correlated with the levels of Th2 and T-helper cells, and was negatively correlated with the levels of plasmacytoid dendritic cells and mast cells. In conclusion, SPDL1 was overexpressed in ESCC and was associated with immune cells. Further, inhibiting the SPDL1 expression could effectively slow down cancer cell growth and migration. SPDL1 is a promising biomarker for treating patients with ESCC.

Humans↗