scholarly journals Low GNG12 Expression Predicts Adverse Outcomes: A Potential Therapeutic Target for Osteosarcoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Jinghong Yuan ◽  
Zhao Yuan ◽  
Aifang Ye ◽  
Tianlong Wu ◽  
Jingyu Jia ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Correlation Analysis ◽  
Therapeutic Target ◽  
Competing Endogenous Rna ◽  
Network Construction ◽  
Expression Correlation ◽  
Kaplan Meier ◽  
Metastatic Osteosarcoma ◽  
Potential Biomarker

BackgroundG protein subunit gamma 12 (GNG12) is observed in some types of cancer, but its role in osteosarcoma is unknown. This study hypothesized that GNG12 may be a potential biomarker and therapeutic target. We aimed to identify an association between GNG12 and osteosarcoma based on the Gene Expression Omnibus and the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) databases.MethodsOsteosarcoma samples in GSE42352 and TARGET database were selected as the test cohorts. As the external validation cohort, 78 osteosarcoma specimens from The Second Affiliated Hospital of Nanchang University were collected. Patients with osteosarcoma were divided into high and low GNG12 mRNA-expression groups; differentially expressed genes were identified as GNG12-related genes. The biological function of GNG12 was annotated using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, gene set enrichment analysis, and immune infiltration analysis. Gene expression correlation analysis and competing endogenous RNA regulatory network construction were used to determine potential biological regulatory relationships of GNG12. Overall survival, Kaplan–Meier analysis, and log-rank tests were calculated to determine GNG12 reliability in predicting survival prognosis.ResultsGNG12 expression decreased in osteosarcoma samples. GNG12 was a highly effective biomarker for osteosarcoma [area under the receiver operating characteristic (ROC) curve (AUC) = 0.920], and the results of our Kaplan–Meier analysis indicated that overall survival and progression-free survival differed significantly between low and high GNG-expression group (p < 0.05). Functional analyses indicated that GNG12 may promote osteosarcoma through regulating the endoplasmic reticulum. Expression correlation analysis and competing endogenous RNA network construction showed that HOTTIP/miR-27a-3p may regulate GNG12 expression. Furthermore, the subunit suppresses adaptive immunity via inhibiting M1 and M2 macrophage infiltration. GNG12 was inhibited in metastatic osteosarcoma compared with non-metastatic osteosarcoma, and its expression predicted survival of patients (1, 3, and 5-year AUCs were 0.961, 0.826, and 0.808, respectively).ConclusionThis study identified GNG12 as a potential biomarker for osteosarcoma prognosis, highlighting its potential as an immunotherapy target.

scholarly journals Circular RNA circFAT1(e2) Promotes Osteosarcoma Progression and Metastasis by Sponging miR-181b and Regulating HK2 Expression

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Huijie Gu ◽  
Xiangyang Cheng ◽  
Jun Xu ◽  
Kaifeng Zhou ◽  
Chong Bian ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cancer Progression ◽  
Therapeutic Target ◽  
Critical Role ◽  
Noncoding Rnas ◽  
Circular Rna ◽  
Expression Level ◽  
Circular Rnas ◽  
Competing Endogenous Rna ◽  
Potential Therapeutic Target

As a subclass of noncoding RNAs, circular RNAs (circRNAs) have been demonstrated to play a critical role in regulating gene expression in eukaryotes. Recent studies have revealed the pivotal functions of circRNAs in cancer progression. Nevertheless, how circRNAs participate in osteosarcoma (OS) development and progression are not well understood. In the present study, we identified a circRNA circFAT1(e2) with an upregulated expression level in OS tissues. By functional experiments, we found that circFAT1(e2) depletion significantly suppressed the proliferation and reduced migration in OS. In terms of mechanism, we found that circFAT1(e2) inhibited miR-181b, while miR-181b targeted HK2. By releasing the inhibition of miR-181b on HK2 expression, leading to attenuated OS progression. Mechanistic investigations suggested that circFAT1(e2) served as a competing endogenous RNA (ceRNA) of miR-181b to enhance HK2 expression. On the whole, our study indicated that circFAT1(e2) exerted oncogenic roles in OS and suggested the circFAT1(e2)/miR-181b/HK2 axis might be a potential therapeutic target.

scholarly journals Pontin Acts as a Potential Biomarker for Poor Clinical Outcome and Promotes Tumor Invasion in Hilar Cholangiocarcinoma

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Qi Sun ◽  
Fanni Li ◽  
Songyang Yu ◽  
Xiang Zhang ◽  
Feiyu Shi ◽  
...  
Keyword(s):  
Overall Survival ◽  
Hilar Cholangiocarcinoma ◽  
Multivariate Analyses ◽  
Malignant Tumors ◽  
Protein Levels ◽  
Node Metastasis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Cholangiocarcinoma Cell

Hilar cholangiocarcinoma (HC) is a devastating malignancy that carries a poor overall prognosis. As a member of the AAA+ superfamily, Pontin becomes highly expressed in several malignant tumors, which contributes to tumor progression and influences tumor prognosis. In our research, Pontin expression in tumor specimens resected from 86 HC patients was detected by immunohistochemistry. Interestingly, high expression of Pontin was significantly associated with lymph node metastasis (p=0.011) and tumor node metastasis (TNM) stage (p=0.005). The Kaplan–Meier overall survival rate and multivariate analyses were performed to evaluate the prognosis of patients with HC. Patients with high Pontin expression had significantly poorer overall survival outcomes. Multivariate analyses found that Pontin was an independent prognostic factor (p=0.001). Moreover, bioinformatics analysis confirmed the increase in Pontin mRNA expression levels in cholangiocarcinoma tissues. In addition, in vitro experiments showed that Pontin expression was inhibited at the mRNA as well as protein levels after transfection with Pontin siRNA in human cholangiocarcinoma cell lines. Moreover, significant suppression of cell invasion was observed after the downregulation of Pontin. Taken together, the present study suggested that Pontin could act as a potential prognostic predictor, which might be a new valuable molecular candidate for the prevention and treatment of HC.

The Transcriptome of Immunomodulator-Resistant Multiple Myeloma

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1772-1772
Author(s):  
Moritz Binder ◽  
S. Vincent Rajkumar ◽  
Martha Q. Lacy ◽  
Jessica L. Haug ◽  
Angela Dispenzieri ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Overall Survival ◽  
Differentially Expressed Genes ◽  
Research Funding ◽  
Differentially Expressed ◽  
Resistant Disease ◽  
Kaplan Meier ◽  
Gene Coding ◽  
Cellular Pathways

Introduction: While the molecular target of immunomodulators such as pomalidomide (POM) and lenalidomide (LEN) has been identified, the mechanisms underlying therapeutic resistance remain incompletely understood. The uniformly emerging resistance to therapy over time in the absence of identifiable cereblon pathway mutations in the majority of patients raises questions about alternative mechanisms including aberrant gene expression. Methods: We performed gene expression profiling using an Affymetrix GeneChip Human Genome U133 Plus 2.0 microarray on CD138+ bone marrow cells from patients with relapsed / refractory (RRMM) and newly diagnosed (NDMM) multiple myeloma prior to initiating treatment. Patients were treated on two phase II clinical trial protocols (MC0789: POM ± dexamethasone in RRMM; MC0884: LEN ± dexamethasone in NDMM) between 2007 and 2012. We categorized patients based on their IMWG response as non-responders (SD) and responders (VGPR+). We selected 15 responders and 15 non-responders from MC0789 (n = 30) and compared overall survival, gene expression patterns, and involved cellular pathways between the two groups. We selected 5 responders and 5 non-responders from MC0884 (n = 10) for targeted validation of differentially expressed candidate genes. After data quality control and normalization of gene expression values, differential gene expression was estimated using limma. Statistical significance was adjusted for multiple testing in the discovery set using a false discovery rate-based approach for genome-wide experiments (q-value). We used Gene Ontology and PANTHER pathway analysis for functional annotation of differentially expressed genes. Overall survival estimates were calculated using the Kaplan-Meier method. Computation and visualization were performed in R. Results: Median age at treatment initiation on MC0789 was 65 years (40 - 82), 65% of the patients were male. Pomalidomide resistance was associated with an increase in mortality (median overall survival 1.6 versus 6.4 years, p = 0.009, Kaplan-Meier plot). There were 1076 differentially regulated genes between responders and non-responders (521 up- and 555 down-regulated, q < 0.050 for all genes, volcano plot). Expression of CRBN was 1.5-fold down-regulated in non-responders (q = 0.005). Supervised hierarchical clustering of the top 500 differentially expressed genes demonstrated distinct patterns in pomalidomide-resistant disease (heatmap). Gene ontology analysis revealed protein synthesis as one of the most enriched biological processes (bar graph). Pathway analysis showed a 6-fold enrichment (FDR = 0.007) of the ubiquitin proteasome pathway in pomalidomide-resistant disease. Differentially expressed genes involved key protein degradation pathways, epigenetic modifiers, and transcription factors. Targeted validation in MC0884 revealed 13 common genes with at least 1.5-fold differential expression (5 up- and 8 down-regulated), 12 of which have previously been implicated in the regulation of apoptosis, tumor glucose metabolism, Rho and Wnt signaling, miRNA-driven resistance to chemotherapy, and ubiquitin-dependent protein degradation (Table and Sankey diagram). The most up-regulated gene in non-responders was MYRIP, a gene coding for a vesicle trafficking protein associated with platinum resistance and suppression of pro-apoptotic BCL-2 family members in solid malignancies. The most down-regulated gene was FRZB, a gene coding for a negative regulator of Wnt signaling, previously implicated in the progression of monoclonal gammopathy of undetermined significance to multiple myeloma. Conclusions: Overall survival of patients with pomalidomide-resistant RRMM remains poor. Pomalidomide resistance was associated with differential gene expression in several potentially targetable cellular pathways beyond the known drug target cereblon. Targeted validation of candidate genes revealed common cellular pathways in immunomodulator-resistant disease. Elucidating the exact molecular mechanisms underlying immunomodulator resistance is of considerable interest for biomarker development and the identification of novel therapeutic targets and warrants further exploration. Figure Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Celgene: Research Funding; Alnylam: Research Funding; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Akcea: Consultancy; Takeda: Research Funding. Kumar:Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Serum Peptidome Based Multiple Myeloma Renal Impairment Biomarker Screening

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2968-2968
Author(s):  
Ju Bai ◽  
Aili He ◽  
Wanggang Zhang ◽  
Yun Yang ◽  
Jianli Wang ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Overall Survival ◽  
Correlation Analysis ◽  
Renal Impairment ◽  
Relative Intensity ◽  
Prognostic Impact ◽  
Newly Diagnosed ◽  
Tubular Injury ◽  
Kaplan Meier ◽  
Renal Tubular

Abstract Background: Renal impairment (RI) is relatively common in patients with newly diagnosed MM (NDMM), ~20-40%, and forms one of the defining features for diagnosis of symptomatic disease. RI has a negative prognostic impact in patients with MM, with an increased risk of early death and a reduction in median survival of up to 50% compared with MM patients without RI. Identification of the early RI in MM and prompt intervention can effectively reverse the RI and prolong the survival of patients. Considering serum creatinine (SCr), blood urea nitrogen (BUN) and creatinine clearance (CrCl) are difficult to reflect early RI, cystatin C (Cys-C), as a new biomarker, has certain value for the diagnosis of early glomerular impairment in MM. However, the early stage of RI in MM was mainly renal tubular injury. Low molecular urine protein (retinol-binding protein, β-microglobulin) are effective in early renal tubular injury, but they are affected by urea PH value. This study was to screen a panel of serum peptides associated with early RI in MM. Methods: 164 MM patients were selected from those who were newly diagnosed in the Second Affiliated Hospital of Xi'an Jiao Tong University during a given period of time (2009.1-2014.1). Their diagnoses were made according to the diagnostic criteria from the International Myeloma Working Group. The median age was 65 years old (range 36-83) and 60.4% were male. RI was defined as having a CrCl<40ml/min. Weak cation exchange magnetic bead combined with matrix assisted laser desorption/ionization time of flight mass spectrometry were used to compare and analyze serum peptidome of MM with or without RI. Correlation analysis of two variables was estimated by Spearman method. The patients were categorized into two groups according to the relative intensities of peptides (≥mean versus <mean). Overall Survival was estimated by the Kaplan-Meier method and compared using a log-rank test. The event was defined as the time from initial diagnosis to treatment-related death time. Statistical significance was defined as p<0.05. Results: Serum peptidome of MM including 104 without RI and 50 with RI were analysed. 18 statistically different expressed peptide peaks were obtained in the molecular weight range of 700-10000Da (P<0.05), among which, 7 peptides were upregulated and 11 peptides were downregulated. Quick classifier (QC) model had optimal distinction efficiency, in the training set with a sensitivity of 93.33% and a specificity of 90%. Blind test verified that this model correctly identified 18 cases out of total 20 MM with RI and 70 cases from 74 MM without RI. Peptides with molecular weight of 3908.85Da and 3216.06Da were significant upregulated in MM patients with RI. Relative intensities of the two peptides were decreased when CrCl(38/50MM) was improved to 40ml/min after therapy. Peptide with molecular weight of 2990.08Da was significant downregulated in MM patients with RI. Its relative intensity was elevated after therapy(CrCl>40ml/min,38/50MM). Spearman correlation analysis showed that relative intensities of peptides with molecular weight of 3908.85Da, 3216.06Da and 2990.08Da were correlated with SCr(r=0.81, p<0.001; r=0.84, p<0.001; p=-0.86, p<0.001), CrCl(r=-0.79, p<0.001; r=-0.81, p<0.001; r=0.83, p<0.001), BUN(r=0.74, p<0.001; r=0.77, p<0.001; r=-0.79, p<0.001), Cys-C(r=0.81, p<0.001; r=0.84, p<0.001; r=-0.86, p<0.001). The median follow-up duration among 164 patients was 27 months (range 4-52 months). Kaplan-Meier analyses of overall survival (OS) showed that patients with higher relative intensities of peptide with 3908.85Da and 3216.06Da (≥mean relative intensity) had a significantly inferior outcome. Lower relative intensities of peptides with molecular weight of 3908.85Da and 3216.06Da (<mean relative intensity) was associated with a favorable OS (46.2±9.2% versus 16.1±6.5%, p=0.012; 41.7±9.5% versus 18.5±6.0%, P=0.021). The OS rate was higher in patients with increased relative intensity of peptides with molecular weight of 2990.08Da (≥mean relative intensity) of than in those with decreased relative intensity (<mean relative intensity)(36.1±10.5% versus 16.2±4.7%, p=0.008). Conclusion: Peptides(3908.85Da, 3216.06Da and 2990.08Da) associated with MM RI obtained by serum peptidome technology can provide new clue for early assess and diagnose MM RI in clinical. Disclosures No relevant conflicts of interest to declare.

scholarly journals Bioinformatic analysis of the inner heterogeneity within MYCN non-amplified pediatric neuroblastoma sub-group

2020 ◽  
Author(s):  
Haiwei Wang ◽  
Xinrui Wang ◽  
Liangpu Xu ◽  
Ji Zhang ◽  
Hua Cao
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Young Patients ◽  
Bioinformatic Analysis ◽  
Mycn Amplification ◽  
Expression Levels ◽  
Kaplan Meier

Abstract Background: Pediatric neuroblastoma is divided into MYCN amplified and MYCN non-amplified sub-groups. However, the extent of heterogeneity within MYCN amplified or non-amplified pediatric neuroblastoma is unclear.Methods: The prognostic significance of age and MYCN amplification was determined through multivariate cox regression and Kaplan-Meier survival analysis. MYCN non-amplified pediatric neuroblastoma patients were divided into different sub-consensuses using non-negative matrix factorization (NMF) based on the gene expression profiling. Genes particularly expressed in MYCN non-amplified young neuroblastoma patients were identified using Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) datasets. The prognostic effects of ALCAM, CACNA2D3, DST, EPB41L4A and KIFIB in MYCN non-amplified pediatric neuroblastoma patients were determined by Kaplan-Meier survival.Results: Age and MYCN amplification were independent prognostic factors in pediatric neuroblastoma. MYCN non-amplified pediatric neuroblastoma comprised young and old two distinct sub-groups. Compared with MYCN non-amplified old neuroblastoma patients, MYCN non-amplified young neuroblastoma patients had better clinical outcomes. MYCN non-amplified pediatric neuroblastoma was divided into three sub-consensuses through NMF assay and each sub-consensus was with significantly different clinical outcomes. However, MYCN amplified pediatric neuroblastoma was relatively homogeneous, and could not divide into sub-groups with different clinical outcomes by age or by NMF assay. ALCAM, CACNA2D3, DST, EPB41L4A and KIFIB were highly expressed in MYCN non-amplified young neuroblastoma patients. Moreover, the high expression levels of ALCAM, CACNA2D3, DST, EPB41L4A or KIFIB were associated with the favorable prognosis of MYCN non-amplified neuroblastoma patients. We also found that DST was an independent prognostic factor in MYCN non-amplified neuroblastoma patients and MYCN non-amplified neuroblastoma young patients with high DST expression levels had the best clinical overall survival.Conclusions: MYCN non-amplified neuroblastoma was a heterogeneous disease and could be divided into sub-groups based on age or the expression levels of ALCAM, CACNA2D3, DST, EPB41L4A or KIFIB. MYCN non-amplified neuroblastoma young patients with high DST expression levels had the best clinical overall survival.

scholarly journals Mining TCGA database for gene expression in ovarian serous cystadenocarcinoma microenvironment

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11375
Author(s):  
Youzheng Xu ◽  
Yixin Xu ◽  
Chun Wang ◽  
Baoguo Xia ◽  
Qingling Mu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Strong Predictor ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Poor Overall Survival ◽  
Protein Protein Interaction ◽  
Serous Cystadenocarcinoma ◽  
Kaplan Meier ◽  
Limma Package

Background Ovarian cancer is one of the leading causes of female deaths worldwide. Ovarian serous cystadenocarcinoma occupies about 90% of it. Effective and accurate biomarkers for diagnosis, outcome prediction and personalized treatment are needed urgently Methods Gene expression profile for OSC patients was obtained from the TCGA database. The ESTIMATE algorithm was used to calculate immune scores and stromal scores of expression data of ovarian serous cystadenocarcinoma samples. Survival results between high and low groups of immune and stromal score were compared and differentially expressed genes (DEGs) were screened out by limma package. The Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and the protein-protein interaction (PPI) network analysis were performed with the g:Profiler database, the Cytoscape and Search Tool for the Retrieval of Interacting Genes (STRING-DB). Survival results between high and low immune and stromal score groups were compared. Kaplan-Meier plots based on TCGA follow up information were generated to evaluate patients’ overall survival. Results Eighty-six upregulated DEGs and one downregulated DEG were identified. Three modules, which included 49 nodes were chosen as important networks. Seven DEGs (VSIG4, TGFBI, DCN, F13A1, ALOX5AP, GPX3, SFRP4) were considered to be correlated with poor overall survival. Conclusion Seven DEGs (VSIG4, TGFBI, DCN, F13A1, ALOX5AP, GPX3, SFRP4) were correlated with poor overall survival in our study. This new set of genes can become strong predictor of survival, individually or combined. Further investigation of these genes is needed to validate the conclusion to provide novel understanding of tumor microenvironment with ovarian serous cystadenocarcinoma prognosis and treatment.

scholarly journals PRINS lncRNA Is a New Biomarker Candidate for HPV Infection and Prognosis of Head and Neck Squamous Cell Carcinomas

Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 762
Author(s):  
Magda Kopczyńska ◽  
Tomasz Kolenda ◽  
Kacper Guglas ◽  
Joanna Sobocińska ◽  
Anna Teresiak ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Head And Neck ◽  
Squamous Cell ◽  
Disease Free Survival ◽  
Hpv Infection ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Data Set ◽  
Potential Biomarker

Numerous studies have shown that human papillomavirus (HPV) infection is one of the important risk factors for head and neck squamous cell carcinoma (HNSCC) progression and affects the expression of multiple genes, which might serve as new biomarkers. This study examines the effects of HPV infection on long non-coding RNA (lncRNA) expression and the immune system, particularly PRINS (Psoriasis susceptibility-related RNA Gene Induced by Stress). The Cancer Genome Atlas (TCGA) expression data for lncRNA genes and clinical data were analyzed by GraphPad Prism 5/7. The expressions of PRINS, CDKN2B-AS1, TTTY14, TTTY15, MEG3, and H19 were significantly different in HPV-positive and HPV-negative patients. HPV-positive patients with high PRINS expression demonstrated significantly better overall survival (OS) and disease-free survival (DFS). HPV-positive patients with high PRINS expression showed changes in gene expression associated with immune and antiviral responses. A majority of HPV-positive patients with high PRINS expression demonstrated a high number of immune cells within tumors. PRINS expression was significantly associated with HPV-infection HNSCC tumors. Validation of these results using data set from Gene Expression Omnibus (GEO) indicated that PRINS is upregulated in HPV active infections and in “atypical 1 (IR)” HNSCC clusters, negatively influencing patients’ overall survival. Patients with high PRINS expression display different immunological profiles than those with low expression levels. For instance, they have active HPV infection status or are clustered in the “atypical 1 (IR)” subtype of HNSCC which influences both viral infection and patients’ survival. It is likely that PRINS could be used as a potential biomarker for HNSCC patients, but its role is dual. On the one hand, it stimulates patients’ immune response, while on the other it can be favorable in virus replication.

scholarly journals Gene expression atlas of a developing tissue by single cell expression correlation analysis

2019 ◽  
Vol 16 (8) ◽  
pp. 750-756 ◽  
Author(s):  
Josephine Bageritz ◽  
Philipp Willnow ◽  
Erica Valentini ◽  
Svenja Leible ◽  
Michael Boutros ◽  
...  
Keyword(s):  
Gene Expression ◽  
Correlation Analysis ◽  
Single Cell ◽  
Expression Correlation ◽  
Gene Expression Atlas ◽  
Expression Atlas ◽  
Cell Expression

scholarly journals High SGO2 Expression Predicts Poor Overall Survival: A Potential Therapeutic Target for Hepatocellular Carcinoma

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 876
Author(s):  
Min Deng ◽  
Shaohua Li ◽  
Jie Mei ◽  
Wenping Lin ◽  
Jingwen Zou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Therapeutic Target ◽  
Tumor Grade ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Clinicopathological Parameters ◽  
Potential Therapeutic Target ◽  
Poor Overall Survival

Shugoshin2 (SGO2) may participate in the occurrence and development of tumors by regulating abnormal cell cycle division, but its prognostic value in hepatocellular carcinoma (HCC) remains unclear. In this study, we accessed The Cancer Genome Atlas (TCGA) database to get the clinical data and gene expression profile of HCC. The expression of SGO2 in HCC tissues and nontumor tissues and the relationship between SGO2 expression, survival, and clinicopathological parameters were analyzed. The SGO2 expression level was significantly higher in HCC tissues than in nontumor tissues (p < 0.001). An analysis from the Oncomine and Gene Expression Profiling Interactive Analysis 2 (GEPIA2) databases also demonstrated that SGO2 was upregulated in HCC (all p < 0.001). A logistic regression analysis revealed that the high expression of SGO2 was significantly correlated with gender, tumor grade, pathological stage, T classification, and Eastern Cancer Oncology Group (ECOG) score (all p < 0.05). The overall survival (OS) of HCC patients with higher SGO2 expression was significantly poor (p < 0.001). A multivariate analysis showed that age and high expression of SGO2 were independent predictors of poor overall survival (all p < 0.05). Twelve signaling pathways were significantly enriched in samples with the high-SGO2 expression phenotype. Ten proteins and 34 genes were significantly correlated with SGO2. In conclusion, the expression of SGO2 is closely related to the survival of HCC. It may be used as a potential therapeutic target and prognostic marker of HCC.

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