Long non-coding RNA LINC00858 aggravates the oncogenic phenotypes of ovarian cancer cells through miR-134-5p/RAD18 signaling

Xue, Heng; Wu, Zhihui; Rao, Dongdong; Zhuo, Bimin; Chen, Qingquan

doi:10.1007/s00404-020-05722-z

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…In patients with gastric cancer, elevated RAD18 expression is associated with substantially shorter overall survival and recurrence-free survival durations [ 33 ]. Knockdown of RAD18 significantly reduces the growth, migration, and invasion of ovarian cancer cells [ 34 ]. ZMYM2 encodes a zinc finger protein involved in a histone deacetylase complex [ 35 ], stabilizing a transcriptional co-repressor complex containing LSD1–CoREST–HDAC1 [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

UBE2B promotes ovarian cancer growth via promoting RAD18 mediated ZMYM2 monoubiquitination and stabilization

et al. 2022

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Ubiquitin-conjugating enzyme E2 B (UBE2B) can form a heterodimer with ubiquitin E3 ligase RAD18. In this study, we aimed to explore new substrates of the UBE2B/RAD18 complex and their regulatory effects in ovarian cancer. Protein physical interactions were predicted using GeneMANIA. Serial sections of commercial ovarian cancer tissue arrays were used to check the protein expression of UBE2B, RAD18, and ZMYM2. Immunofluorescence staining and co-immunoprecipitation assays were performed to check their location and interactions. Cycloheximide chase assay was applied to explore the influence of UBE2B and RAD18 on ZMYM2 degradation. Xenograft tumor models were constructed to assess the influence of the UBE2B-ZMYM2 axis on in vivo tumor growth. A strong positive correlation between UBE2B and ZMYM2 and a moderate positive correlation between RAD18 and ZMYM2 were observed in 23 ovarian cancer cases. In CAOV4 and OVCAR3 cells, myc-ZMYM2 interacted with UBE2B and RAD18. UBE2B and ZMYM2 could be detected in the samples immunoprecipitated by anti-RAD18. UBE2B overexpression or knockdown did not alter ZMYM2 mRNA expression. UBE2B overexpression increased ZMYM2 monoubiquitination but reduced its polyubiquitination. RAD18 knockdown impaired UBE2B- induced ZMYM2 monoubiquitination. UBE2B overexpression significantly enhanced the stability of ZMYM2 protein, the effect of which was weakened by RAD18 knockdown. UBE2B overexpression significantly enhanced the growth of xenograft tumors derived from CAOV4 cells. ZMYM2 knockdown remarkedly suppressed tumor growth and impaired the growth-promoting effect of UBE2B overexpression. In conclusion, this study revealed a novel regulatory effect of the UBE2B/RAD18 complex on ZMYM2 monoubiquitination and stability in ovarian cancer.

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Section: Discussionmentioning

confidence: 99%

UBE2B promotes ovarian cancer growth via promoting RAD18 mediated ZMYM2 monoubiquitination and stabilization

et al. 2022

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“…Pan et al demonstrated that lnc-CTSLP4 could reverse EMT of GC cells by recruiting E3 ubiquitin ligase ZFP91 to decrease NRNPABmediated Snail transcription, thereby inhibiting GC progression (Pan et al, 2021). LINC00858 could sponge miR-134-5p to promote E3 ubiquitin ligase RAD18 elevation, resulting in enhancing EMT of cancer cells (Xue et al, 2020). Besides, the overexpression of lnc-DARS-AS1 was able to interfere with the interaction between RBM39 and E3 ubiquitin ligase RNF147 via hypoxia regulation, leading to myeloma genesis (Tong et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

A Novel E3-ubiquitin Ligase-Related LncRNA Signature for Predicting Prognosis in Patients with Lung Adenocarcinoma

Liu

Chen

Huang

et al. 2022

Preprint

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Background: E3 ubiquitin ligase mRNA plays an important role in mediating tumor microenvironment, and is involved in tumor initiation and progression. However, few studies have realized the value of E3 ubiquitin ligase-related lncRNAs in lung adenocarcinoma (LUAD).Methods: Herein, we comprehensively evaluated the E3-ubiquitination patterns including multiple tumor-related molecular phenotypes in LUAD samples using lncRNA profiling from GEO and TCGA database, identified a survival-related risk signature consisting of E3-ubiquitin ligase-related lncRNAs via LASSO and multivariate stepwise Cox regression analysis. Based on the risk score calculated for each sample, LUAD patients were divided into high- and low-risk groups. The predictive value of the signature in overall survival was explored, and a nomogram integrating the risk signature and clinical characteristics was identified and tested. Results: A risk signature consisting of 7 specific E3-ubiquitin ligase-related lncRNAs was screened, and can be viewed as a reliable independent predictor of prognosis. We performed consensus clustering analysis and successfully identified 4 molecular subtypes significantly linked to the OS of LUAD, which validates the prognostic and predictive value of this signature to some extent. The ssGESA analysis revealed that the high-risk group was bound up closely with epithelial-mesenchymal transition, hypoxia, and PI3K/AKT/mTOR pathways, and had a worse outcome. Moreover, we created a nomogram consisting of pathological staging and risk score. Validation analysis demonstrated high conformity of nomogram predictive probability and actual overall survival in LUAD of TCGA and GEO datasets.Conclusion: The model consisting of specific E3-ubiquitin ligase-related lncRNAs contributes to predicting the prognosis of LUAD patients.

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“…It was reported to be one of the four lncRNAs delivered from database search that were further validated with clinical samples (34) and able to promote colorectal cancer by sponging miR-4766-5p (35) or miR-22-3P (36). Literatures published recently revealed that LINC00858 was found to play key roles in multiple types of cancers including Wilms' tumor (37), ovarian cancer (38), colon cancer (39), gastric cancer (40), hepatocellular carcinomas (41), and osteosarcomas (42). Both hsa-miR-182-5p and hsa-miR-183-5p belong to the miR-183/96/182 family because of their sequence homology and function similarity (43).…”

Section: Discussionmentioning

confidence: 99%

Risk Scores Based on Six Survival-Related RNAs in a Competing Endogenous Network Composed of Differentially Expressed RNAs Between Clear Cell Renal Cell Carcinoma Patients Carrying Wild-Type or Mutant Von Hippel–Lindau Serve Well to Predict Malignancy and Prognosis

Zhu

Cai

et al. 2021

Front. Oncol.

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Clear cell renal cell carcinoma (ccRCC) carrying wild-type Von Hippel–Lindau (VHL) tumor suppressor are more invasive and of high morbidity. Concurrently, competing endogenous RNA (ceRNA) network has been suggested to play an important role in ccRCC malignancy. In order to understand why the patients carrying wild-type VHL gene have high degrees of invasion and morbidity, we applied bioinformatics approaches to identify 861 differentially expressed RNAs (DE-RNAs) between patients carrying wild-type and patients carrying mutant VHL from The Cancer Genome Atlas (TCGA) database, established a ceRNA network including 122 RNAs, and elected six survival-related DE-RNAs including Linc00942, Linc00858, RP13_392I16.1, hsa-miR-182-5p, hsa-miR-183-5p, and PAX3. Examining clinical samples from our hospital revealed that patients carrying wild-type VHL had significantly higher levels of all six RNAs than those carrying mutant VHL. Patients carrying wild-type VHL had significantly higher risk scores, which were calculated based on expression levels of all six RNAs, than those carrying mutant VHL. Patients with higher risk scores had significantly shorter survival times than those with lower risk scores. Therefore, the risk scores serve well to predict malignancy and prognosis.

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Long non-coding RNA LINC00858 aggravates the oncogenic phenotypes of ovarian cancer cells through miR-134-5p/RAD18 signaling

Cited by 13 publications

References 30 publications

UBE2B promotes ovarian cancer growth via promoting RAD18 mediated ZMYM2 monoubiquitination and stabilization

UBE2B promotes ovarian cancer growth via promoting RAD18 mediated ZMYM2 monoubiquitination and stabilization

A Novel E3-ubiquitin Ligase-Related LncRNA Signature for Predicting Prognosis in Patients with Lung Adenocarcinoma

Risk Scores Based on Six Survival-Related RNAs in a Competing Endogenous Network Composed of Differentially Expressed RNAs Between Clear Cell Renal Cell Carcinoma Patients Carrying Wild-Type or Mutant Von Hippel–Lindau Serve Well to Predict Malignancy and Prognosis

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