Methylation-mediated miR-155-FAM133A axis contributes to the attenuated invasion and migration of IDH mutant gliomas

Huang, Guan‐Hua; Du, Lei; Li, Ningning; Zhang, Ying; Yan, Xiang; Tang, Jun; Xia, Shuli; Zhang, Eric Erquan; Lv, Sheng Qing

doi:10.1016/j.canlet.2018.06.007

Cited by 22 publications

(14 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ITGB2 was correlated with higher TNM stages and promotes proliferation in oral squamous cell carcinoma ( Zhang X. et al, 2020 ). FAM133A was found to be related to glioma invasion and migration ( Huang et al, 2018 ). It has been shown that somatic mutations of TP53 are important in the tumorigenesis and progression of CC ( Ojesina et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment

Shen

2021

Front. Genet.

View full text Add to dashboard Cite

The cross-talk between tumor cells and the tumor microenvironment (TME) is an important factor in determining the tumorigenesis and progression of cervical cancer (CC). However, clarifying the potential mechanisms which trigger the above biological processes remains a challenge. The present study focused on immune-relevant differences at the transcriptome and somatic mutation levels through an integrative multi-omics analysis based on The Cancer Genome Atlas database. The objective of the study was to recognize the specific immune-related prognostic factors predicting the survival and response to immunotherapy of patients with CC. Firstly, eight hub immune-related prognostic genes were ultimately identified through construction of a protein–protein interaction network and Cox regression analysis. Secondly, 32 differentially mutated genes were simultaneously identified based on the different levels of immune infiltration. As a result, an immune gene-related prognostic model (IGRPM), including six factors (chemokine receptor 7 [CCR7], CD3d molecule [CD3D], CD3e molecule [CD3E], and integrin subunit beta 2 [ITGB2], family with sequence similarity 133 member A [FAM133A], and tumor protein p53 [TP53]), was finally constructed to forecast clinical outcomes of CC. Its predictive capability was further assessed and validated using the Gene Expression Omnibus validation set. In conclusion, IGRPM may be a promising prognostic signature to predict the prognoses and responses to immunotherapy of patients with CC. Moreover, the multi-omics study showed that IGRPM could be a novel therapeutic target for CC, which is a promising biomarker for indicating the immune-dominant status of the TME and revealing the potential mechanisms responsible for the tumorigenesis and progression of CC.

show abstract

Section: Discussionmentioning

confidence: 99%

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment

Shen

2021

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…Based on our network and the ceRNA mechanism, we speculated that LINC01128 might act as a tumor suppressor in MM through multiple mechanisms, including miR-142-5p/PARP9 or FAM133A axis, and the miR-299-3p/estrogen-related receptor gamma axis. The cancer–testis antigen FAM133A is a downstream target of miR-155 and is a negative regulator of glioma invasion and migration ( Huang et al, 2018 ). Estrogen-related receptor gamma is a tumor suppressor as well as an activator of multiple cancers, including gastric cancer ( Kang et al, 2018 ), breast cancer ( Kumari et al, 2018 ), laryngeal squamous cell carcinoma ( Shen et al, 2019 ), and liver cancer ( Kim et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of a Risk Score System Predicting Prognosis and a ceRNA Network for Differentially Expressed lncRNAs in Multiple Myeloma

et al. 2020

View full text Add to dashboard Cite

Long non-coding RNAs (lncRNAs) are non-protein-coding RNAs longer than 200 nucleotides. Accumulating evidence demonstrates that lncRNA is a potential biomarker for cancer diagnosis and prognosis. However, there are no prognostic biomarkers and lncRNA models for multiple myeloma (MM). Hence, it is necessary to screen novel lncRNA that can potentially participate in the initiation and progression of MM and consequently construct a risk score system for the disease. Raw microarray datasets were obtained from the Gene Expression Omnibus website. Weighted gene co-expression network analysis and principal component analysis identified 12 lncRNAs of interest. Then, univariate, least absolute shrinkage and selection operator Cox regression and multivariate Cox hazard regression analysis identified two lncRNAs (LINC00996 and LINC00525) that were formulated to construct a risk score system to predict survival. Receiver operating characteristic analysis certificated the superior performance in predicting 3-year overall survival (area under the curve = 0.829). The similar prognostic values of the two-lncRNA signature were also observed in the tested The Cancer Genome Atlas dataset. Furthermore, two other lncRNAs (LINC00324 and LINC01128) were differentially expressed between CD138+ plasma cells from normal donors and MM patients and were verified to be associated with cancer stage in the Gene Expression Omnibus dataset. A lncRNA-mediated competing endogenous RNA network, including 2 lncRNAs, 12 mitochondrial RNAs, and 103 target messenger RNAs, was constructed. In conclusion, we developed a two-lncRNA expression signature to predict the prognosis of MM and constructed a key lncRNA-based competing endogenous RNA network in MM. These lncRNAs were associated with survival and are probably involved in the occurrence and progression of MM.

show abstract

“…Genomic DNA was treated via Methylamp DNA Modification Kit (Epigentek, Farmingdale, NY, USA), DNA was amplified using EpiTaqHS kit (Takara, Dalian, China). All experiments were performed according to the manufacturer's instruction (Huang et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…DNA methylation is a procedure by which methyl groups are added to DNA molecules. It usually occurs at the gene promoter region, such as a CpG island (Dick et al, ; Huang et al, ). A CpG island is defined as a region containing 300–3,000 base pairs with a C + G content more than 0.6.…”

Section: Introductionmentioning

confidence: 99%

Methylation of HIF3A promoter CpG islands contributes to insulin resistance in gestational diabetes mellitus

Zhang

Chen

et al. 2019

Molec Gen & Gen Med

View full text Add to dashboard Cite

Background Gestational diabetes mellitus (GDM) is defined as any degree of glucose intolerance during pregnancy, and will lead to high risk of diabetes even after pregnancy. Hypoxia‐inducible factor (HIF) family proteins are transcriptional factors that are highly correlated with methylation, which might be involved in the regulation of GDM. Methods Baseline clinical characteristics of the GDM patients and healthy women were analyzed. Omental tissue from GDM patients and control groups were collected and detected for the expression levels of HIF1A, HIF2A, and HIF3A. The CpG islands of HIF3A promoter were predicted by “methprimer” software, and the methylation level of CpG islands was detected by bisulfite sequencing PCR. Results HIF3A was downregulated in the omental tissue from GDM patients, whereas HIF1A and HIF2A were not affected. Furthermore, HIF3A expression was positively correlated with levels of estrogen receptor α (ESR1) and solute carrier family 2 member 4 (SLC2A4). Moreover, CpG islands of HIF3A promoter were highly methylated in GDM patients. In addition, methylation level of CpG islands could be upregulated by Estradiol (E2) treatment, since high dose of E2 reduced HIF3A mRNA expression in 3T3‐L1 adipocytes. Conclusion Our findings demonstrate that the expression level of HIF3A, but not HIF1A or HIF2A, is downregulated in GDM patients. The methylation status of HIF3A promoter region is highly correlated with GDM, which could be a novel therapeutic target for GDM treatment.

show abstract

Methylation-mediated miR-155-FAM133A axis contributes to the attenuated invasion and migration of IDH mutant gliomas

Cited by 22 publications

References 41 publications

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment

Integrated Analysis of a Risk Score System Predicting Prognosis and a ceRNA Network for Differentially Expressed lncRNAs in Multiple Myeloma

Methylation of HIF3A promoter CpG islands contributes to insulin resistance in gestational diabetes mellitus

Contact Info

Product

Resources

About