miR-9-5p Suppresses Malignant Biological Behaviors of Human Gastric Cancer Cells by Negative Regulation of TNFAIP8L3

Fan, Yanyun; Shi, Ying; Lin, Zhenhe; Huang, Xiaoxiao; Li, Jinying; Huang, Wei; Shen, Dong‐Yan; Zhuang, Guohong; Liu, Wenming

doi:10.1007/s10620-019-05626-2

Cited by 19 publications

(16 citation statements)

References 22 publications

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“…TNFAIP8L3 (TNF alphainduced protein 8 like 3, also known as TIPE3), a transfer protein of phosphoinositide second messengers, was detected to be significantly upregulated in breast cancer tissues (especially invasive or metastasized type) as compared with adjacent nontumor tissues. Inhibition of TNFAIP8L3 may block cancer cell proliferation, migration, and invasion in vitro and in vivo by inactivation of the AKT and NF-κB signaling pathways [55,56]. In consistence with these studies, we also found that C1QTNF3 and TNFAIP8L3 were upregulated, while ARID3A and MAGI3 were downregulated in recurrent samples, and they were respectively an oncogenic or tumor suppressor gene for prediction of DFS.…”

Section: Discussionsupporting

confidence: 77%

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Chen

et al. 2020

BioMed Research International

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Ovarian cancer (OvCa) is an intractable gynecological malignancy due to the high recurrence rate. Several molecular biomarkers have been previously screened for early identifying patients with a high recurrence risk and poor prognosis. However, all the known studies focused on a single type of RNAs, not integrating various types. This study was to construct a new multi-RNA-based model to predict the recurrence and prognosis for OvCa patients by using the messenger RNA (mRNA, including long noncoding RNA (lncRNA)) and microRNA (miRNA) sequencing data of The Cancer Genome Atlas database. After univariate Cox regression and least absolute shrinkage and selection operator analyses, a multi-RNA-based signature (2 miRNAs: hsa-miR-508, hsa-miR-506; 1 lncRNA: TM4SF1-AS1; 11 mRNAs: MAGI3, SLAMF7, GLI2, PDK1, ARID3A, PLEKHG4B, TNFAIP8L3, C1QTNF3, NDUFAF1, CH25H, TMEM129) was generated and used to establish a risk score model. The high- and low-risk patients classified by the median risk score exhibited significantly different recurrence risks (89% versus 61%, p<0.001) and survival time (the area under the receiver operating characteristic curve (AUC) = 0.901 for 5-year disease-free survival (DFS)). This risk model was independent of other clinical features and superior to pathologic staging for DFS prediction (AUC, 0.906 versus 0.524; C-index, 0.633 versus 0.510). Furthermore, some new interaction axes were revealed to explain the possible functions of these RNAs (competing endogenous RNA: TM4SF1-AS1-miR-186-STEAP2, LINC00536-miR-508-STEAP2, LINC00475-miR-506-TMEM129; coexpression: LINC00598-PLEKHG4B). In conclusion, this multi-RNA-based risk model may be clinically useful to stratify OvCa patients with different recurrence risks and survival outcomes and included RNAs may be potential therapeutic targets.

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Section: Discussionsupporting

confidence: 77%

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Chen

et al. 2020

BioMed Research International

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“…MiR‐9‐5p is highly expressed in glioma and breast cancer cells and promotes cell migration and proliferation 47,48 . Whereas in ovarian and gastric cancer cells, miR‐9‐5p is lowly expressed and inhibits cell migration and proliferation 49,50 . Thus, the role of miR‐9‐5p seems to be cell‐type dependent and requires further investigation.…”

Section: Discussionmentioning

confidence: 99%

LINC01116 promotes proliferation and migration of endometrial stromal cells by targeting FOXP1 via sponging miR‐9‐5p in endometriosis

Cui

Chen

Wang

et al. 2020

J Cellular Molecular Medi

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Endometriosis is a common multi‐factorial gynaecological disease. Recent studies have revealed that long non‐coding RNAs (lncRNAs) are involved in the pathogenesis of endometriosis. In the present study, the expression profiles of lncRNAs in 6 pairs of endometriosis ectopic endometrium (ecEM) and eutopic endometrium (euEM) tissues were analysed by RNA sequencing. From the profiles, LINC01116 was found to be up‐regulated in ecEM tissues compared to euEM tissues and was verified by quantitative real‐time PCR (qRT‐PCR). Then, functional experiments demonstrated that LINC01116 promoted the proliferation and migration of ectopic primary endometrial stromal cells (ESCs), while miR‐9‐5p exerted the opposite effects. Dual‐luciferase reporter assays verified that LINC01116 directly sponged miR‐9‐5p and relieved the suppression of its target, Forkhead box protein P1 (FOXP1). Rescue experiments further demonstrated that LINC01116 could promote proliferation and migration of ESCs by targeting FOXP1 via sponging miR‐9‐5p. Overall, our study illuminates that LINC01116 promotes the progression of endometriosis through the miR‐9‐5p/FOXP1 axis. This finding provides a novel therapeutic target for patients with endometriosis.

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“…Previous studies have shown that miR-9-5p expression may act as a potential tumor suppressor gene and is closely related to the malignant progression of GC (Fan et al, 2019). miR-9-3p may play an important role in tumor invasion and have potential effects on the prognosis of gastric cancer (Meng et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Serum microRNAs as potential new biomarkers for cisplatin resistance in gastric cancer patients

Jin

Zhang

et al. 2020

PeerJ

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Background microRNAs (miRNAs) have been studied for their role in the early detection of several diseases. However, there is no current information on the systematic screening of serum-derived cisplatin resistance biomarkers in gastric cancer (GC). Methods Cisplatin-resistant GC cell lines were screened for dysregulated miRNAs using small RNA sequencing (sRNA-seq) and miRNAs were functionally annotated using bioinformatics analyses. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to validate the miRNA-relative transcription levels in GC cells and in 74 GC patients. We analyzed the associations between the clinical characteristics of the patients and their miRNA expression. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic value for serum-derived cisplatin resistance. Results Seven miRNAs were identified from 35 differentially expressed miRNAs between the MGC803/DDP and MGC803 cells in a public database. We found four miRNA candidates (miR-9-3p, miR-9-5p, miR-146a-5p, and miR-433-3p) that were significantly associated with chemotherapy responses in GC cells and patients. miR-9-5p (AUC = 0.856, 95% CI [0.773–0.939], p < 0.0001) and a combined group (miR-9-5p + miR-9-3p + miR-433-3p) (AUC = 0.915, 95% CI [0.856–0.975], P < 0.0001) distinguished chemoresistant GC patients from chemosensitive GC patients. Conclusions Our study reveals the potential therapeutic use of two serum-based biomarkers, miR-9-5p and a combined group (miR-9-5p + miR-9-3p + miR-433-3p), as indicators for the successful use of cisplatin in GC patients.

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miR-9-5p Suppresses Malignant Biological Behaviors of Human Gastric Cancer Cells by Negative Regulation of TNFAIP8L3

Cited by 19 publications

References 22 publications

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

LINC01116 promotes proliferation and migration of endometrial stromal cells by targeting FOXP1 via sponging miR‐9‐5p in endometriosis

Serum microRNAs as potential new biomarkers for cisplatin resistance in gastric cancer patients

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