LINC02535 co‐functions with PCBP2 to regulate DNA damage repair in cervical cancer by stabilizing RRM1 mRNA

Wen, Danxia; Huang, Zhong; Li, Zhouyu; Tang, Xi; Wen, Xiaomin; Liu, Jinquan; Li, Mingyi

doi:10.1002/jcp.29667

Cited by 29 publications

(27 citation statements)

References 34 publications

(29 reference statements)

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“…The cell cycle, cAMP signalling pathway and homologous recombination were enriched in the KEGG pathway analysis (Figure 2A, Table ). These findings suggest that LINC02535 target genes are closely related to cell growth–related pathways in PDGC progression, which is consistent with previous reports on the important role of LINC02535 in cervical cancer 16 . A heat map showing gene expression in paracancerous tissues, as well as in gastric cancer tissues, indicated that transcripts of ten genes (TM4SF20, CHRNA1, CEACAM18, RHCG, IL17C, SLC30A10, SAA1, SAA2, FEZF1, ALDH3B2 and LINC02535) that participate in cell growth were significantly increased in gastric cancer tissues compared with paracancerous tissues (Figure 2B).…”

Section: Resultssupporting

confidence: 93%

“…We also assessed the functions of the novel lncRNA LINC02535 and found that LINC02535 promoted gastric cancer cell progression in vitro. To the best of our knowledge, only one other similar study showed that LINC02535 was correlated with cervical cancer 16 . The study found significantly higher LINC02535 and poly(C)‐binding protein 2 (PCBP2) expression in cervical cancer tissues and that LINC02535 and PCBP2 costabilized RRM1 mRNA to facilitate DNA repair damage and promote cell proliferation and epithelial‐to‐mesenchymal transition.…”

Section: Discussionmentioning

confidence: 88%

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LINC02535 promotes cell growth in poorly differentiated gastric cancer

Gao

Chen

et al. 2021

Clinical Laboratory Analysis

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Background Abnormal long non‐coding RNA (lncRNA) expression plays important roles in gastric cancer. However, the functions of many lncRNAs in poorly differentiated gastric cancer (PDGC) remain unknown. Methods Three sets of paired tissues from patients with PDGC were used, and transcriptome sequencing was performed, followed by the construction and sequencing of a library and mapping of the reads. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and protein‐protein interaction (PPI) networks were analysed, and canonical pathway significance was calculated among the differentially expressed genes (DEGs; p < 0.05). Gene expression in 30 paired PDGC specimens and four cell lines was validated through quantitative PCR. Cell proliferation, migration, invasion, apoptosis, and wound healing were analysed. Results A total of 499 upregulated DEGs and 627 downregulated DEGs were identified between peritumoral and gastric cancer tissues. The proportions of positive and negative correlations between LINC02535 and the DEGs were 98.40% and 92.66%, respectively, while the Spearman's correlation coefficient was greater than 0.5. The PPI network showed that approximately 73.15% of the top five genes were directly correlated with LINC02535 according to the STRING database. Based on KEGG analysis, the functions of LINC02535 target genes were enriched in signalling pathways related to cancer cell growth. Furthermore, cell function studies showed that LINC02535 upregulation contributed to cell proliferation, migration, invasion, and wound healing and that its inhibition facilitated cell apoptosis. Conclusion LINC02535 expression was upregulated in PDGC and contributed to cell proliferation, migration, invasion and wound healing, whereas its inhibition in PDGC facilitated cell apoptosis.

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Section: Resultssupporting

confidence: 93%

Section: Discussionmentioning

confidence: 88%

LINC02535 promotes cell growth in poorly differentiated gastric cancer

Gao

Chen

et al. 2021

Clinical Laboratory Analysis

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“…It inhibits the repair of DNA damage in cervical cancer cells and furthers the process of EMT. Ultimately, it promotes the occurrence and development of cervical cancer (Wen et al, 2020). AL034397.3 was found to be correlated with autophagy in LUAD.…”

Section: Discussionmentioning

confidence: 89%

Construction of a Prognostic Immune-Related LncRNA Risk Model for Lung Adenocarcinoma

Shen

Wang

et al. 2021

Front. Cell Dev. Biol.

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BackgroundLung adenocarcinoma (LUAD) originates mainly from the mucous epithelium and glandular epithelium of the bronchi. It is the most common pathologic subtype of non-small cell lung cancer (NSCLC). At present, there is still a lack of clear criteria to predict the efficacy of immunotherapy. The 5-year survival rate for LUAD patients remains low.MethodsAll data were downloaded from The Cancer Genome Atlas (TCGA) database. We used Gene Set Enrichment Analysis (GSEA) database to obtain immune-related mRNAs. Immune-related lncRNAs were acquired by using the correlation test of the immune-related genes with R version 3.6.3 (Pearson correlation coefficient cor = 0.5, P < 0.05). The TCGA-LUAD dataset was divided into the testing set and the training set randomly. Based on the training set to perform univariate and multivariate Cox regression analyses, we screened prognostic immune-related lncRNAs and given a risk score to each sample. Samples were divided into the high-risk group and the low-risk group according to the median risk score. By the combination of Kaplan–Meier (KM) survival curve, the receiver operating characteristic (ROC) (AUC) curve, the independent risk factor analysis, and the clinical data of the samples, we assessed the accuracy of the risk model. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the differentially expressed mRNAs between the high-risk group and the low-risk group. The differentially expressed genes related to immune response between two risk groups were analyzed to evaluate the role of the model in predicting the efficacy and effects of immunotherapy. In order to explain the internal mechanism of the risk model in predicting the efficacy of immunotherapy, we analyzed the differentially expressed genes related to epithelial-mesenchymal transition (EMT) between two risk groups. We extracted RNA from normal bronchial epithelial cell and LUAD cells and verified the expression level of lncRNAs in the risk model by a quantitative real-time polymerase chain reaction (qRT-PCR) test. We compared our risk model with other published prognostic signatures with data from an independent cohort. We transfected LUAD cell with siRNA-LINC0253. Western blot analysis was performed to observed change of EMT-related marker in protein level.ResultsThrough univariate Cox regression analysis, 24 immune-related lncRNAs were found to be strongly associated with the survival of the TCGA-LUAD dataset. Utilizing multivariate Cox regression analysis, 10 lncRNAs were selected to establish the risk model. The K-M survival curves and the ROC (AUC) curves proved that the risk model has a fine predictive effect. The GO enrichment analysis indicated that the effect of the differentially expressed genes between high-risk and low-risk groups is mainly involved in immune response and intercellular interaction. The KEGG enrichment analysis indicated that the differentially expressed genes between high-risk and low-risk groups are mainly involved in endocytosis and the MAPK signaling pathway. The expression of genes related to the efficacy of immunotherapy was significantly different between the two groups. A qRT-PCR test verified the expression level of lncRNAs in LUAD cells in the risk model. The AUC of ROC of 5 years in the independent validation dataset showed that this model had superior accuracy. Western blot analysis verified the change of EMT-related marker in protein level.ConclusionThe immune lncRNA risk model established by us could better predict the prognosis of patients with LUAD.

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“…AC024022.1 is the protective biomarker in papillary renal cell carcinoma [23]. LINC02535 co-functions with PCBP2 to regulate DNA damage repair in cervical cancer by stabilizing RRM1 mRNA [24]. LINC02535 is highly expressed in Lung Adenocarcinoma tissues and closely related to the OS of LUAD.…”

Section: Discussionmentioning

confidence: 99%

A Novel Ferroptosis-Related Lncrnas Signature for Prognosis Prediction in Patients with Papillary Renal Cell Carcinoma

Mei

2021

Preprint

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BackgroundPapillary renal cell carcinoma (PRCC) is a common renal cell carcinoma. Recent studies have reported that ferroptosis is involved in the occurrence and development of tumors. Long non-coding RNAs could be used as independent biomarkers for the diagnosis and prognosis of a variety of tumors, and many lncRNAs are related to the pathogenesis of PRCC. However, there are few studies on the ferroptosis-related lncRNAs of PRCC. This study aimed to establish ferroptosis-related lncRNAs prognostic signature in patients with PRCC.MethodsGene expression profile and clinical information of patients with PRCC were obtained from The Cancer Genome Atlas (TCGA) database. Lasso-Penalzed Cox regression and univariate Cox regression analysis were utilized for model construction. The Kaplan-Meier (K-M) and Receiver Operating Characteristic (ROC) curves were plotted to validate the predictive effect of the prognostic signature. Immune cell infiltration and immune function were compared between the high-risk and low-risk groups. Chemotherapy sensitivity analysis was also performed. ResultsWe constructed a prognostic signature consisted of 15 ferroptosis-related lncRNAs. The Kaplan-Meier curves validated the fine predictive accuracy of the prognostic signature (p < 0.001). The area under the curve (AUC) of the lncRNAs signature was 0.930, exhibiting robust prognostic capacity. The high-risk group had a greater degree of immune cell infiltration, such as B cells, T cell CD8, macrophages, NK cell, etc., compared with the low-risk group. There were significant differences in inflammation-promoting, parainflammation and Type I IFN reponse between the low-risk and high-risk groups. The expressions of immune checkpoints including CD80, IDO1, LAG3, etc. were significantly higher in high-risk group. Chemotherapy sensitivity analysis showed that MNX1-AS1, ZFAS1, MIR4435-2HG and ADAMTS9-AS1 were significantly correlated with the sensitivity of some chemotherapy drugs. ConclusionWe demonstrated that a ferroptosis-related lncRNAs prognostic signature could be a novel biomarker for PRCC. Our findings could provide a new insight for immune research and treatment strategies for patients with PRCC.

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LINC02535 co‐functions with PCBP2 to regulate DNA damage repair in cervical cancer by stabilizing RRM1 mRNA

Cited by 29 publications

References 34 publications

LINC02535 promotes cell growth in poorly differentiated gastric cancer

LINC02535 promotes cell growth in poorly differentiated gastric cancer

Construction of a Prognostic Immune-Related LncRNA Risk Model for Lung Adenocarcinoma

A Novel Ferroptosis-Related Lncrnas Signature for Prognosis Prediction in Patients with Papillary Renal Cell Carcinoma

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