Dataset Information

Upregulated expression of SAC3D1 is associated with progression in gastric cancer.

ABSTRACT: SAC3 domain containing 1 (SAC3D1) has been reported to be involved in numerous types of cancer. However, the role of SAC3D1 in GC has not yet been elucidated. In the present study, the mRNA expression level of SAC3D1 between GC and normal tissues were assessed with a continuous variable meta?analysis based on multiple datasets from public databases. The protein expression level of SAC3D1 in GC and normal tissues was assessed by an in?house immunohistochemistry (IHC). The association between SAC3D1 expression and some clinical parameters was assessed based on the TCGA and IHC data. Survival analysis was performed to assess the association between SAC3D1 expression and the survival of GC patients. The co?expressed genes of SAC3D1 were determined by integrating three online tools, and the enrichment analyses were performed to determine SAC3D1?related pathways and hub co?expressed genes. SAC3D1 was significantly upregulated in GC tumor tissues in comparison to normal tissues with the SMD being 0.45 (0.12, 0.79). The IHC results also indicated that SAC3D1 protein expression in GC tissues was markedly higher than in normal tissues. The SMD following the addition of the IHC data was 0.59 (0.11, 1.07). The protein levels of SAC3D1 were positively associated with the histological grade, T stage and N stage of GC (P<0.001). The TCGA data also revealed that the SAC3D1 mRNA level was significantly associated with the N stage (P<0.001). Moreover, prognosis analysis indicated that SAC3D1 was closely associated with the prognosis of patients with GC. Moreover, 410 co?expressed genes of SAC3D1 were determined, and these genes were mainly enriched in the cell cycle. In total, 4 genes (CDK1, CCNB1, CCNB2 and CDC20) were considered key co?expressed genes. On the whole, these findings demonstrate that SAC3D1 is highly expressed in GC and may be associated with the progression of GC.

SUBMITTER: Liu AG

PROVIDER: S-EPMC7252452 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Upregulated expression of SAC3D1 is associated with progression in gastric cancer.

Liu An-Gui AG Zhong Jin-Cai JC Chen Gang G He Rong-Quan RQ He Yi-Qiang YQ Ma Jie J Yang Li-Hua LH Wu Xiao-Jv XJ Huang Jun-Tao JT Li Jian-Jun JJ Mo Wei-Jia WJ Qin Xin-Gan XG

International journal of oncology 20200415 1

SAC3 domain containing 1 (SAC3D1) has been reported to be involved in numerous types of cancer. However, the role of SAC3D1 in GC has not yet been elucidated. In the present study, the mRNA expression level of SAC3D1 between GC and normal tissues were assessed with a continuous variable meta‑analysis based on multiple datasets from public databases. The protein expression level of SAC3D1 in GC and normal tissues was assessed by an in‑house immunohistochemistry (IHC). The association between SAC3 ...[more]

PMID: 32319600

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Project description:BackgroundPancreatic cancer (PC) is an aggressive disease with a very poor prognosis. The insidious onset, rapid progression, and resistance to conventional therapies mark the imperious need for novel biomarkers and therapeutic targets. The pituitary tumor transforming gene 1 (PTTG1), implicated in tumorigenesis and cellular transformation, has been studied in various cancers, however, its role and mechanisms in PC remain to be elucidated for better understanding the disease pathology and in enhancing patient management strategies.MethodsThe present study examined the PTTG1 messenger RNA (mRNA) expression levels and clinical significance through meta-analysis based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Immunohistochemistry (IHC) was used to measure PTTG1 protein levels in PC and adjacent non-cancerous tissues. A correlation was observed between PTTG1 expression and some clinical characteristics based on the TCGA and IHC data. Univariate and multivariate Cox regressions were used to identify independent prognostic factors. Kaplan-Meier (KM) survival analysis was performed. The co-expressed genes of PTTG1 were determined by integrating online tools, and the enrichment analyses were performed to determine PTTG1-related pathways and hub co-expressed genes.ResultsPTTG1 was highly expressed in PC tissues based on the TCGA, GEO, and IHC data. The combined standard mean difference (SMD) values of PTTG1 expression based on TCGA and GEO databases was 1.02 [95% confidence interval (CI): 0.74-1.30]. The area under the curve (AUC) based on the summary receiver operating characteristic (sROC) curve was 0.93 (95% CI: 0.90-0.95). PTTG1 overexpression was remarkably correlated with an inferior overall survival (OS). A total of 367 genes were identified as co-expressed genes of PTTG1 in PC and were mainly involved in the cell cycle pathway. The four identified core genes were CDK1, CCNA2, CDC20, and MAD2L1.ConclusionsThe upregulated expression of PTTG1 plays an essential role in PC's progression as a biomarker.

Project description:ObjectiveGliomas are the most aggressive intracranial tumors accounting for the vast majority of brain tumors with very poor prognosis and overall survival (OS). Cancer-derived immunoglobulin G (cancer-IgG) has been found to be widely expressed in several malignancies such as breast cancer, colorectal cancer, and lung cancer. Cancer-IgG could promote tumorigenesis and progression. However, its role in glioma has not been revealed yet.MethodsWe mined open databases including the Chinese Glioma Genome Atlas (CGGA), The Cancer Genome Atlas (TCGA), and the Gene Expression Omnibus (GEO) to study the role of IGHG1, which encodes cancer-IgG in glioma. Examination of the differential expression of IGHG1 was carried out in the GEO and TCGA databases. Furthermore, its expression in different molecular subtypes was analyzed. Stratified analysis was performed with clinical features. Subsequently, immune infiltration analysis was conducted using single-sample gene set enrichment analysis (ssGSEA). GSEA was performed to reveal the mechanisms of IGHG1. Lastly, immunohistochemistry was processed to validate our findings.ResultsIn this study, we found that the expression of IGHG1 was higher in glioma and molecular subtypes with poor prognosis. The overall survival of patients with a high expression of IGHG1 was worse in the stratified analysis. Immune infiltration analysis indicated that the expression level of IGHG1 was positively correlated with the stromal score, ESTIMATE score, and immune score and negatively correlated with tumor purity. Results from the GSEA and DAVID demonstrated that IGHG1 may function in phagosome, antigen processing and presentation, extracellular matrix structural constituent, antigen binding, and collagen-containing extracellular matrix. Finally, immunohistochemistry assay validated our findings that patients with a high expression of cancer-IgG had poor OS and disease-free survival (DFS).ConclusionCancer-IgG is a promising biomarker of diagnosis and treatment for patients with glioma.

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Upregulated expression of SAC3D1 is associated with progression in gastric cancer.

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Upregulated expression of SAC3D1 is associated with progression in gastric cancer.

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