Comprehensive Analysis of CDK1-Associated ceRNA Network Revealing the Key Pathways LINC00460/LINC00525-Hsa-Mir-338-FAM111/ZWINT as Prognostic Biomarkers in Lung Adenocarcinoma Combined with Experiments

Li, Wen; Feng, Shanshan; Wu, Hao; Deng, Jing; Zhou, Wang-Yan; Jia, Mingxi; Shi, Yi; Ma, Liang; Zeng, Xiaoxi; Zuberi, Zavuga; Fu, Da; Liu, Xiang; Chen, Zhu

doi:10.3390/cells11071220

Cited by 5 publications

(6 citation statements)

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“…We found that six DE-lncRNAs significantly associated with the prognosis of LUAD patients, and ultimately screened out LINC00857, LINC00460, SYNPR-AS1 and RBPMS-AS1. It has been shown that LncRNA LINC00857 can regulate lung adenocarcinoma progression by targeting miR-1179/SPAG5 axis ( Wang et al, 2020 ), LINC00460 -Hsa-Mir-338-FAM111/ZWINT pathway can be used as a prognostic biomarker for lung adenocarcinoma ( Li et al, 2022 ), SYNPR-AS1 is significantly associated with overall survival of lung adenocarcinoma patients ( Wu et al, 2020 ) and the prognostic potential of RBPMS-AS1 in lung adenocarcinoma ( Wang L. et al, 2019 ), which is consistent with our findings. To assess the validity of prognostic features, we calculated patient risk scores in the TCGA training and prediction sets.…”

Section: Discussionsupporting

confidence: 91%

Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma

et al. 2023

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Background: There is increasing evidence that long non-coding RNAs (lncRNAs) can be used as potential prognostic factors for cancer. This study aimed to develop a prognostic model for lung adenocarcinoma (LUAD) using angiogenesis-related long non-coding RNAs (lncRNAs) as potential prognostic factors.Methods: Transcriptome data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed to identify aberrantly expressed angiogenesis-related lncRNAs in LUAD. A prognostic signature was constructed using differential expression analysis, overlap analysis, Pearson correlation analysis, and Cox regression analysis. The model’s validity was assessed using K-M and ROC curves, and independent external validation was performed in the GSE30219 dataset. Prognostic lncRNA-microRNA (miRNA)-messenger RNA (mRNA) competing endogenous RNA (ceRNA) networks were identified. Immune cell infiltration and mutational characteristics were also analyzed. The expression of four human angiogenesis-associated lncRNAs was quantified using quantitative real-time PCR (qRT-PCR) gene arrays.Results: A total of 26 aberrantly expressed angiogenesis-related lncRNAs in LUAD were identified, and a Cox risk model based on LINC00857, RBPMS-AS1, SYNPR-AS1, and LINC00460 was constructed, which may be an independent prognostic predictor for LUAD. The low-risk group had a significant better prognosis and was associated with a higher abundance of resting immune cells and a lower expression of immune checkpoint molecules. Moreover, 105 ceRNA mechanisms were predicted based on the four prognostic lncRNAs. qRT-PCR results showed that LINC00857, SYNPR-AS1, and LINC00460 were significantly highly expressed in tumor tissues, while RBPMS-AS1 was highly expressed in paracancerous tissues.Conclusion: The four angiogenesis-related lncRNAs identified in this study could serve as a promising prognostic biomarker for LUAD patients.

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Section: Discussionsupporting

confidence: 91%

Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma

et al. 2023

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“…ZWINT is a crucial constituent of the mitotic spindle checkpoint, which plays a pivotal role in ensuring accurate chromosome segregation during cell division and maintaining genomic stability. [14,15] Recent studies have shown that ZWINT may be involved in the pathogenesis of tumour development and is overexpressed in a variety of malignancies including colon, breast, liver, lung and pancreatic cancers [8,[16][17][18][19][20][21] .However, the regulation of ZWINT in ovarian cancer and its molecular mechanism have not been reported yet. The results of this study showed that ZWINT was significantly highly expressed in ovarian cancer tissues, the higher the expression level of ZWINT, the worse the overall survival and disease-free survival of the patients, which indicates that ZWINT is closely related to the development of ovarian cancer.…”

Section: Discussionmentioning

confidence: 99%

Zwint is highly expressed in ovarian cancer and promotes cell proliferation, migration and invasion

Liu,

Chen,

et al. 2023

Preprint

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Objective: To investigate the expression level of ZWINT in ovarian cancer and its impact on the proliferation, migration and invasion of ovarian cancer cells. Methods: The differentially expressed genes in ovarian cancer tissues were identified from both the TCGA and GEO databases, followed by an analysis of their expression levels and investigation into their impact on patients' survival and prognosis; two ovarian cell models were established to interfere with gene expression, and the expression and interference effects were evaluated by RT-PCR and Western blot; cell proliferation was detected by plate cloning and Edu assay. Result: ZWINT was identified as a differentially expressed gene in ovarian cancer through database analysis, and further comparison of gene expression profiles revealed its high expression levels in this malignancy; Kaplan-Meier analysis revealed a correlation between higher expression of ZWINT and worse survival prognosis in patients. The success of interfering with the ZWINT cell line was verified through RT-PCR and Western blot experiments. Plate cloning assay demonstrated a significant reduction in the number of cell colonies after ZWINT interference, while Edu assay indicated a decrease in the percentage of Edu-positive cells. Transwell assay suggested that cell migration and invasion were also affected by ZWINT interference. Conclusion: ZWINT was highly expressed in ovarian cancer tissues, and could promote the proliferation, migration and invasion of cancer cells.

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“…For example, Xiang and colleagues found that FAM111B was lowly expressed in papillary thyroid cancer (PTC) tissues, leading to poor prognosis in PTC patients 4 . In addition, the over‐activation of FAM111B in pancreas, lung, cervix and breast increased the risk of related‐cancer 5–9 . Boldanova et al revealed that FAM111B was highly expressed in the tumor region of HCC patients and could be used as a biomarker for HCC patients treated with transarterial chemoembolization 10 .…”

Section: Introductionmentioning

confidence: 99%

“…4 In addition, the over-activation of FAM111B in pancreas, lung, cervix and breast increased the risk of related-cancer. [5][6][7][8][9] Boldanova et al revealed that FAM111B was highly expressed in the tumor region of HCC patients and could be used as a biomarker for HCC patients treated with transarterial chemoembolization. 10 Therefore, the course of HCC may have an inseparable relationship with FAM111B.…”

mentioning

confidence: 99%

Family with sequence similarity 111 member B contributes to tumor growth and metastasis by mediating cell proliferation, invasion, and EMT via transforming acidic coiled‐coil protein 3/PI3K/AKT signaling pathway in hepatocellular carcinoma

Yang,

Yan,

Jiao

et al. 2023

Environmental Toxicology

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As a complex systemic disease, primary liver cancer ranks third in death rate for solid tumors worldwide. Family with sequence similarity 111 member B (FAM111B), which was found to be aberrantly mutated in multiple cancers, is a candidate oncogene. We aimed to determine the function and mechanism of FAM111B in hepatocellular carcinoma (HCC). The expression of FAM111B was evaluated in HCC tissues, adjacent tissues, HCC cell lines. The impact of FAM111B on proliferation, invasion, apoptosis and EMT of HCC cells were detected by CCK‐8, Transwell, flow cytometry and Western blot assays. The relationship between FAM111B and transforming acidic coiled‐coil protein 3 (TACC3) was assessed by CoIP and Immunofluorescence (IF) staining assays. The effect of FAM111B on tumor growth was detected by using xenograft model of nude mice. The expression of FAM111B was upregulated in HCC tissues and cell lines, and the prognosis of HCC patients was worse in the high FAM111B expression group, and its expression level was associated with the TNM stage of HCC. FAM111B silencing inhibited HCC cell proliferation and invasion, EMT and induced apoptosis. Besides, TACC3 served as an interactor for FAM111B, which could enhance TACC3 expression, thus activing PI3K/AKT pathway. Rescue experiments revealed that elevated of TACC3 restored the inhibitory effect of FAM111B overexpression on the cell functions via PI3K/AKT pathway. In vivo, FAM111B inhibition hampered tumor growth and metastasis of HCC. This study highlighted a key player of FAM111B in modulating the malignant biological progression of HCC via TACC3/PI3K/AKT signaling pathway, displaying a potential therapeutic target for HCC.

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Comprehensive Analysis of CDK1-Associated ceRNA Network Revealing the Key Pathways LINC00460/LINC00525-Hsa-Mir-338-FAM111/ZWINT as Prognostic Biomarkers in Lung Adenocarcinoma Combined with Experiments

Cited by 5 publications

References 68 publications

Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma

Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma

Zwint is highly expressed in ovarian cancer and promotes cell proliferation, migration and invasion

Family with sequence similarity 111 member B contributes to tumor growth and metastasis by mediating cell proliferation, invasion, and EMT via transforming acidic coiled‐coil protein 3/PI3K/AKT signaling pathway in hepatocellular carcinoma

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