Crosstalk between circRNAs and the PI3K/AKT signaling pathway in cancer progression

Xue, Chen; Li, Ganglei; Lü, Juan; Li, Lanjuan

doi:10.1038/s41392-021-00788-w

Cited by 109 publications

(74 citation statements)

References 279 publications

(323 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PI3K/AKT/mTOR signaling pathway is activated in many malignancies, including colorectal cancer, ovarian cancer, and breast cancer [ 8 ]. The PI3K/AKT signaling pathway could be activated by numerous stimuli, and the PI3K/AKT complex is the main cellular molecular pathway in autophagy [ 9 ]. CD274 was found to induce the PI3K/AKT/mTOR signaling pathway to participate in numerous tumors [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

BAP31 Promotes Proliferation, Invasion, and Metastasis of Liver Cancer Cells via Activating PI3K/AKT Pathway

Sun

Li²,

Wei³

et al. 2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Background. Many breakthroughs have been made in the clinical treatment of liver cancer, but there are still many liver cancer patients with limited treatment methods. Therefore, it is very important to find targets for early diagnosis and specific treatment of liver cancer. Methods. During the operation, 32 pairs of tumor tissues and corresponding normal liver tissues were acquired from patients. The mRNA expression was measured by qPCR. The protein expression was evaluated via Western blot. Flow cytometry assay was performed to measure the cells apoptosis. CCK-8 assay was performed to detect cell proliferation. Transwell chamber assay was applied to detect migration and invasion of SNU-449 cells. Results. BAP31 was upregulated in liver cancer tissues and cells. Knockdown of BAP31 repressed cell proliferation and enhanced cell apoptosis of liver cancer. Knockdown of BAP31 apparently upregulated apoptosis-related proteins (Bax and Caspase-3), while it downregulated antiapoptotic proteins (Bcl-2). Knockdown of BAP31 repressed migration and invasion of SNU-449 cells. In contrast with the control and si-NC group, protein expression of MMP-2 and MMP-9 was obviously lower after si-BAP31 transfection of cells. Knockdown of BAP31 repressed PI3K/AKT signaling pathways in liver cancer cells. Conclusion. Knockdown of BAP31 repressed cell proliferation, migration, and invasion in liver cancer by suppressing PI3K/AKT/mTOR signaling pathways.

show abstract

Section: Introductionmentioning

confidence: 99%

BAP31 Promotes Proliferation, Invasion, and Metastasis of Liver Cancer Cells via Activating PI3K/AKT Pathway

Sun

Li²,

Wei³

et al. 2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…A large number of studies have confirmed that circRNAs mediate signal transduction pathways and regulate inflammation and oxidative stress, contributing to multiple diseases ( Yang et al, 2017 ; Saaoud et al, 2021 ; Xue et al, 2021 ). Furthermore, circRNAs have been reported to play important roles in lung injuries induced by PM2.5 ( Li et al, 2020 ), sepsis ( Jiang et al, 2020 ; Zhou et al, 2021a ), smoke ( Zhou et al, 2021b ), silica ( Fang et al, 2018 ), or radiation ( Li et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Microarray Analysis Reveals the Changes in Circular RNA Expression and Molecular Mechanisms in Mice With Ventilator-Induced Lung Injury

et al. 2022

View full text Add to dashboard Cite

Circular RNA (circRNA) expression profiles in lung tissues from mice with and without ventilator-induced lung injury (VILI) were analyzed using high-throughput sequencing and bioinformatics to clarify their potential role in VILI pathogenesis and provide valuable molecular markers for VILI diagnosis and treatment. A VILI mouse model was established using high-tidal volume ventilation, and lung tissue was stained with HE and TUNEL. The present study used high-throughput sequencing technology to analyze the expression profile of circRNAs in the lung tissue of mice with and without VILI. Bioinformatics was used to analyze the enrichment of differentially expressed circRNAs using Gene Ontology and KEGG to predict function. Among the top 10 circRNAs with significant differential expression, we used real-time quantitative polymerase chain reaction technology (qRT-PCR) to verify the accuracy of the high-throughput sequencing results and constructed the corresponding circRNA-miRNA-mRNA-specific binding network map using software prediction. The most upregulated circRNAs were novel_circ_0000899 and novel_circ_0014815, and the most downregulated circRNAs were novel_circ_0015069. A total of 14,347 circRNAs were detected using high-throughput sequencing. Compared to the control group, 285 circRNAs were abnormally and significantly expressed in the lung tissues of VILI mice (|log2(FC)| > 1, p < 0.05). A total of 171 circRNAs were significantly upregulated, and 114 circRNAs were significantly downregulated. Gene ontology analyses indicated that the differentially expressed circRNAs were involved in multiple biological functions, such as regulation of metabolic processes, protein phosphorylation, and chromatin organization. KEGG pathway analyses revealed that the Ras signaling pathway, rap1 signaling pathway, PI3K − Akt signaling pathway, and ECM receiver interaction were related to the differentially expressed circRNAs. The qRT-PCR verification results were generally consistent with the circRNA expression trends of the high-throughput sequencing data. The circRNA-miRNA-mRNA interaction network suggested that miRNAs and mRNAs related to circRNAs played a key role in VILI. Differentially expressed circRNAs were identified in the tissues of VILI mice using high-throughput sequencing combined with bioinformatics analysis, and the results lay a foundation for further study of the mechanism of circRNAs in the occurrence and development of VILI.

show abstract

“…We extracted the DEGs of these two groups of COAD to screen the genes that perform an instrumental function in tumors. The results of pathway enrichment suggest that the pathways involved by these genes are concentrated in Cell adhesion molecules (CAMs) ( Bronikowska et al, 2021 ), cytokine receptor interaction ( Wen et al, 2021 ), focal adhesion ( Lu et al, 2021 ), NF kappa B signaling pathway ( Takakura et al, 2021 ), proteoglycans in cancer ( Jinmin Sun et al, 2021 ), PI3K Akt signaling pathway ( Xue et al, 2021 ), etc, which are strongly associated with to the onset and progression of tumors. Further cluster analysis showed that CryptLike, EMT, Collective and Proliferative were distributed in different modules respectively.…”

Section: Discussionmentioning

confidence: 99%

Based on Molecular Subtypes, Immune Characteristics and Genomic Variation to Constructing and Verifying Multi-Gene Prognostic Characteristics of Colorectal Cancer

Jiang

et al. 2022

Front. Cell Dev. Biol.

View full text Add to dashboard Cite

Background: Colon cancer (COAD) has been identified as being among the most prevalent tumors globally and ranked the third major contributor to cancer-related mortality. COAD is a molecularly heterogeneous disease. There are great differences in clinical manifestations and prognosis among different molecular subtypes.Methods:379 TCGA-COAD samples were divided into four subtypes: primary proliferative, with collective, crypt-like, and EMT invasion. The differences among the four subtypes were analyzed from the multidimensional perspectives of immunity, genomic variation, and prognosis. The limma package was utilized to identify differentially expressed genes (DEGs) amongst different molecular subtypes. Phenotype-related coexpressed gene modules were identified using WGCNA. The polygenic prognosis model was created utilizing the lasso Cox analysis and verified by time-dependent subject operating characteristics (ROC).Results: There are some differences in prognosis, TMB and common gene variation, immune score, and immunotherapy/chemotherapy between proliferative and three invasive molecular subtypes. 846 differential genes (DEGs) were obtained by limma packet analysis. Differential gene analysis was utilized to screen the DEGs among distinct subtypes, which were significantly enriched in the pathways related to tumorigenesis and development. Co-expression network analysis found 46 co-expressed genes correlated with proliferative and three invasive phenotypes. Based on differentially co-expressed genes, we developed a prognostic risk model of 8-genes signature, which exhibited strong stability regardless of external and internal validation. RT-PCR experiments proved the expression of eight genes in tumor and normal samples.Conclusion: We have developed an eight-gene signature prognostic stratification system. Furthermore, we proposed that this classifier can serve as a molecular diagnostic tool to assess the prognosis of colon cancer patients.

show abstract

Crosstalk between circRNAs and the PI3K/AKT signaling pathway in cancer progression

Cited by 109 publications

References 279 publications

BAP31 Promotes Proliferation, Invasion, and Metastasis of Liver Cancer Cells via Activating PI3K/AKT Pathway

BAP31 Promotes Proliferation, Invasion, and Metastasis of Liver Cancer Cells via Activating PI3K/AKT Pathway

Microarray Analysis Reveals the Changes in Circular RNA Expression and Molecular Mechanisms in Mice With Ventilator-Induced Lung Injury

Based on Molecular Subtypes, Immune Characteristics and Genomic Variation to Constructing and Verifying Multi-Gene Prognostic Characteristics of Colorectal Cancer

Contact Info

Product

Resources

About