lncRNA HOXB‐AS3 exacerbates proliferation, migration, and invasion of lung cancer via activating the PI3K‐AKT pathway

Jiang, Wenyang; Kai, Jindan; Li, Donghang; Wei, Zhongheng; Wang, Ying; Wang, Wei

doi:10.1002/jcp.29618

Cited by 48 publications

(41 citation statements)

References 33 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, in agreement with our data, Li Fan et al found that silence of PRRT3-AS1 suppresses the proliferation of PCa cells and boost their autophagy and apoptosis [15]. It is also suggested previously that, HOXB-AS3 shows tight association with the dismal prognosis for numerous cancer types [16][17][18]. The above findings suggest that, HOXB-AS3 and PRRT3-AS1 can be used to be the prognostic biomarkers for numerous cancer types.…”

Section: Plos Onesupporting

confidence: 92%

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis

et al. 2021

View full text Add to dashboard Cite

Background and objective Accumulating evidence shows that long noncoding RNAs (lncRNAs) possess great potential in the diagnosis and prognosis of prostate cancer (PCa). Therefore, this study aimed to construct an lncRNA-based signature to more accurately predict the prognosis of different PCa patients, so as to improve patient management and prognosis. Methods Through univariate and multivariate Cox regression analysis, this study constructed a 4 lncRNAs-based prognosis nomogram for the classification and prediction of survival risk in patients with PCa based on TCGA data. Then we used the data of TCGA and ICGC to verify the performance of our prediction model. The receiver operating characteristic curve was plotted for detecting and validating our prediction model sensitivity and specificity. In addition, Cox regression analysis was conducted to examine whether the signature’s prediction ability was independent of additional clinicopathological variables. Possible biological functions for those prognostic lncRNAs were predicted on those 4 protein-coding genes (PCGs) related to lncRNAs. Results Four lncRNAs (HOXB-AS3, YEATS2-AS1, LINC01679, PRRT3-AS1) were extracted after COX regression analysis for classifying patients into high and low-risk groups by different OS rates. As suggested by ROC analysis, our proposed model showed high sensitivity and specificity. Independent prognostic capability of the model from other clinicopathological factors was indicated through further analysis. Based on functional enrichment, those action sites for prognostic lncRNAs were mostly located in the extracellular matrix and cell membrane, and their functions are mainly associated with the adhesion, activation and transport of the components across the extracellular matrix or cell membrane. Conclusion Our current study successfully identifies a novel candidate, which can provide more convincing evidence for prognosis in addition to the traditional clinicopathological indicators to predict the PCa survival, and laying the foundation for offering potentially novel therapeutic treatment. Additionally, this study sheds more lights on the PCa-related molecular mechanisms.

show abstract

Section: Plos Onesupporting

confidence: 92%

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

“…lncRNA‐HNF1A‐AS1 facilitates gastric cancer cell invasion and migration through activating the PI3K/AKT pathway 35 . lncRNA HOXB‐AS3 accelerates cellular progression in lung cancer by activation of the PI3K/AKT pathway 36 . Our data reveal that circ‐PRMT5 knockdown suppresses the PI3K/AKT/mTOR pathway, whereas this inhibition effect was reversed by TCF7L2 up‐regulation.…”

Section: Discussionmentioning

confidence: 67%

Circ‐PRMT5 promotes breast cancer by the miR‐509‐3p/TCF7L2 axis activating the PI3K/AKT pathway

Jia

Zhang

et al. 2020

The Journal of Gene Medicine

View full text Add to dashboard Cite

BackgroundBreast cancer is the most prevalent malignancy occurring in females. In recent years, emerging evidence has suggested that circular RNAs are involved in the development of multiple cancers. Circ‐PRMT5 has recently attracted attention as a tumor‐promoting circular RNA. In the present study, we focused on exploring the biological effects of circ‐PRMT5 in breast cancer.MethodsA quantitative real‐time polymerase chain reaction was used to determine the expression of circ‐PRMT5 in breast cancer. In vitro experiments, including cell‐counting kit‐8, 5‐ethynyl‐2'‐deoxyuridine, flow cytometry and tube formation assays, were performed to test the effects of circ‐PRMT5 on the cellular progression of breast cancer. Bioinformatic analysis, luciferase reporter, radioimmunoprecipitation and RNA‐pull down assays were performed to predict the potential microRNAs interacting with circ‐PRMT5 and mRNAs that can be targeted by miR‐509‐3p.ResultsCirc‐PRMT5 is up‐regulated in breast cancer tissues and cells. Importantly, an elevation of circ‐PRMT5 indicates a poor prognosis in patients with breast cancer. Functionally, knockdown of circ‐PRMT5 suppresses cell proliferation and angiogenesis and increases cell apoptosis in breast cancer. Mechanistically, we identified that circ‐PRMT5 up‐regulates TCF7L2 expression by acting as a miR‐509‐3p sponge. The negative expression correlation between miR‐509‐3p and circ‐PRMT5 or TCF7L2 in clinical tissues was further demonstrated. Rescue assays showed that TCF7L2 overexpression reverses the antitumoral effects of circ‐PRMT5 knockdown on breast cancer cell processes. Additionally, we demonstrated that circ‐PRMT5 activates the phosphoinositide 3‐kinase (PI3K)/AKT pathway by up‐regulation of TCF7L2.ConclusionsOverall, our data indicate that the circ‐PRMT5/miR‐509‐3p/TCF7L2 axis can aggravate the malignant character of breast cancer cells by the regulation of the PI3K/AKT pathway.

show abstract

“…Ye et al indicated that AC136475.3 can serve as a prognostic biomarker for patients with HCC who have cirrhosis (27). HOXB-AS3 has a dual role in various cancers; in colon cancer, it acts as a tumor suppressor, but in lung cancer, it acts as a tumor promoter (28,29). Zhong et al found that downregulation of lnc-EMA3B-AS1 may lead to a poor outcome in patients with HCC (30).…”

Section: Discussionmentioning

confidence: 99%

Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma

Li¹,

Lu²,

Fang³

et al. 2021

Transl Androl Urol

View full text Add to dashboard Cite

Background:The immune microenvironment is a critical regulator of clear cell renal cell carcinoma (ccRCC) progression. However, the underlying mechanisms the regulatory role of immune-related long non-coding RNAs (irlncRNAs) in the ccRCC tumor microenvironment (TME) are still obscure. Herein, we investigated prognostics role of irlncRNAs for ccRCC. Methods:The raw data of patients with ccRCC were downloaded from The Cancer Genome Atlas (TCGA) database, and immune-related genes were obtained from the ImmPort database. First, we investigated the correlation between the immune-related genes and irlncRNAs. Then, we identified the differentially expressed irlncRNA pairs (ILRPs) between normal and cancer tissue samples, and prognostic model was constructed with the differentially expressed ILRPs. We further explored whether the signature risk scores of ILRPs had a considerable impact on immune cell infiltration. Finally, we performed a drug sensitivity analysis based on risk score.Results: There were 13 upregulated and 40 downregulated irlncRNAs between the ccRCC and normal tissue samples. We further selected the irlncRNAs that significantly affect the prognosis of patients with ccRCC via univariate Cox, lasso regression, and multivariate regression analyses. Twelve ILRPs were used to construct a prognostic signature. The model showed the ILRPs model could be used to assess the prognosis of ccRCC patients. Study of the influence of risk score and clinical characteristics on the prognosis of patients with ccRCC showed risk score to be an independent factor affecting the outcome of ccRCC.We further performed the difference analysis of immune cell abundance between ccRCC and normal tissue samples. The results showed that patients with higher abundance of M0 macrophages, plasma cells, follicular helper T cells, and regulatory T cells (Tregs) had a poor outcome. Finally, we performed a drug sensitivity analysis based on risk score. The results showed that high-risk score patients are sensitive to orafenib, sunitinib, temsirolimus, cisplatin, and gemcitabine. Conclusions:Our study has developed a novel and reasonable ILPRs model for prognostic prediction, which does not require transcriptional levels to be detected.

show abstract

lncRNA HOXB‐AS3 exacerbates proliferation, migration, and invasion of lung cancer via activating the PI3K‐AKT pathway

Cited by 48 publications

References 33 publications

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis

Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis

Circ‐PRMT5 promotes breast cancer by the miR‐509‐3p/TCF7L2 axis activating the PI3K/AKT pathway

Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma

Contact Info

Product

Resources

About