A miR-212-3p/SLC6A1 Regulatory Sub-Network for the Prognosis of Hepatocellular Carcinoma

Zhang, Dandan; Wang, Wen-Er; Ma, Yu‐Shui; Shi, Yi; Yin, Jie; Liu, Ji‐Bin; Yang, Xiaoli; Xin, Rui; Fu, Da; Zhang, Wenjie

doi:10.2147/cmar.s308986

Cited by 5 publications

(3 citation statements)

References 66 publications

(35 reference statements)

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“…There is increasing evidence that abnormal DNA methylation plays an important role in the induction and development of CRC [ 40 , 41 ]. Although many studies have reported the dysregulation of SLC6A1 expression in many types of tumors, its potential mechanisms remained largely unclear [ 42 , 43 ]. In this study, a strong negative correlation between the SLC6A1 expression and SLC6A1 DNA methylation could be observed.…”

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of DNA Repair Genes Identifies SLC6A1 as a New Marker for the Clinical Outcome of Patients with Colorectal Cancer

et al. 2022

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Colorectal cancer (CRC) remains an important malignancy worldwide with poor prognosis. It has been known that DNA repair genes are involved in the development and progression of various tumors. Therefore, the purpose of this study was to explore DNA repair gene-based prognostic biomarkers for CRC. In this study, the expressing pattern and prognostic values of DNA repair genes in CRC patients were analyzed using TCGA database. GO and KEGG enrichment analyses were conducted to clarify the functional roles of dysregulated genes. We observed 358 differentially expressed DNA repair genes in CRC specimens, including 84 downregulated genes and 275 upregulated genes. 36 survival-related DNA repair genes were correlated with CRC patients’ five-year survival, including 6 low-risk genes and 30 high-risk genes. Among the 10 overlapping genes, we focused on SLC6A1 which was highly expressed in CRC, and multivariate analysis confirmed that SLC6A1 expression as well as age and clinical stage could be regarded as an independent predicting factor for CRC prognosis. KEGG assays revealed that SLC6A1 may influence the clinical progression via regulating TGF-beta and PI3K-Akt signaling pathways. In addition, we observed that SLC6A1 was negatively regulated by SLC6A1 methylation, leading to its low expression in CRC specimens. Overall, SLC6A1 is upexpressed in CRC and can be used as a marker of poor prognosis in CRC patients.

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Section: Discussionmentioning

confidence: 99%

Integrated Analysis of DNA Repair Genes Identifies SLC6A1 as a New Marker for the Clinical Outcome of Patients with Colorectal Cancer

et al. 2022

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“…32 These findings suggested that ZFPM2-AS1 and AC010280.2 might be potential therapeutic targets and prognostic biomarkers of HCC, and provided theoretical support for the prognostic prediction model constructed in this paper. At present, there are limited verifiable research results on the structure and function of the remaining lncRNA in the model and its role and mechanism in the occurrence and development of HCC, 33 and further exploration is needed. As an inflammation-related tumor, HCC has an immunosuppressive tumor TME, 34 which can promote immune tolerance through various mechanisms.…”

Section: Discussionmentioning

confidence: 99%

Immune-Related lncRNA Pairs Clinical Prognosis Model Construction for Hepatocellular Carcinoma

Zhu

Shan²,

Guo

et al. 2022

IJGM

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Long non-coding RNA (lncRNA) plays an essential regulatory role in the occurrence and development of hepatocellular carcinoma (HCC). This paper aims to establish an immune-related lncRNA (irlncRNA) pairs model independent of expression level for risk assessment and prognosis prediction of HCC. Methods: Transcriptome data and corresponding clinical data were downloaded from TCGA. HCC patients were randomly divided into training group and test group. Univariate Cox regression analysis, LASSO regression analysis, and stepwise multiple Cox regression analysis were used to establish a prognostic model. The prediction ability of the model was verified by ROC curves. Next, the patients were divided into low-risk and high-risk groups. We compared the differences between the two groups in survival rate, clinicopathological characteristics, tumor immune cell infiltration status, chemotherapeutic drug sensitivity and immunosuppressive molecules. Results: A prognosis prediction model was established based on 7 irlncRNA pairs, namely irlncRNA pairs (IRLP). ROC curves of the training group and test group showed that the IRLP model had high sensitivity and specificity for survival prediction. Kaplan-Meier analysis showed that the survival rate of the high-risk group was significantly lower than that of the low-risk group. Immune cell infiltration analysis showed that the high-risk group was significantly correlated with various immune cell infiltration. Finally, there were statistically significant differences in chemosensitivity and molecular marker expression between the two groups. Conclusion:The prognosis prediction model established by irlncRNA pairs has a certain guiding significance for the prognosis prediction of HCC. It may provide valuable clinical applications in antitumor immunotherapy.

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“…SLC6A1 is a gene for protein, a gamma-aminobutyric acid (GABA) transporter that localizes to the plasma membrane and is involved in synaptic signaling (Voisin et al, 2019). The SLC6A1 expression levels are correlated negatively with several significant immune cells (Zhang et al, 2021). ADCY encodes enzymes that catalyze cyclic AMP (cAMP) formation (Honoune & Defer, 2001).…”

Section: Discussionmentioning

confidence: 99%

Hepatopancreatic transcriptome response of Penaeus vannamei to dietary ulvan

Tumbokon

2022

Israeli Journal of Aquaculture - Bamidgeh

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The study aimed to determine the effect of feeding dietary ulvan on some genes and pathways of Penaeus vannamei juveniles. Feeding a diet containing ulvan at 1.0 g·kg-1 resulted in differentially expressed genes (DEGs) between the treatments and the control group. Ulvan resulted in 53 DEGs with 26 up and 27-down-regulated DEGs. The DEGs were immune-related, while several affected the energy and substrate metabolic pathways. Specific genes upregulated were Glycerol-3-phosphate acyltransferase (GPAT) of the glycerolipid synthesis, centrosomal protein 120 involved in cell cycling and other activities, RNA helicase, an enzyme involved in opening up DNA molecules, ATP-binding cassette, TATA-binding protein, taurine transporter, transcriptional enhancer factor (TEF), C-type lectin among others. Down-regulated genes included gamma-crystallin, which acts as molecular chaperones; catenin alpha, which is involved in adhesion complex; dystrophin, which is involved in scaffolding for several signaling molecules; and maintenance muscle integrity, among others. Top DEGs that affected significantly important pathways include TEAD (transcriptional enhancer factor domain), GSK3B (glycogen synthase Kinase 3 beta), SLC6A1 (i.e., solute carrier Family 6 Member 1), and ADCY2, which affected signal transduction, environmental adaptation as well as the endocrine, immune, nervous, and digestive systems. In conclusion, dietary ulvan resulted in the up-regulation of immune-related DEGs, which could probably be used to adapt to unfavorable conditions and also affected some energy and substrate metabolic pathways that could potentially be used to direct the overall metabolism.

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A miR-212-3p/SLC6A1 Regulatory Sub-Network for the Prognosis of Hepatocellular Carcinoma

Cited by 5 publications

References 66 publications

Integrated Analysis of DNA Repair Genes Identifies SLC6A1 as a New Marker for the Clinical Outcome of Patients with Colorectal Cancer

Integrated Analysis of DNA Repair Genes Identifies SLC6A1 as a New Marker for the Clinical Outcome of Patients with Colorectal Cancer

Immune-Related lncRNA Pairs Clinical Prognosis Model Construction for Hepatocellular Carcinoma

Hepatopancreatic transcriptome response of Penaeus vannamei to dietary ulvan

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