Long non-coding RNA linc00665 interacts with YB-1 and promotes angiogenesis in lung adenocarcinoma

Cong, Zhuang‐Zhuang; Diao, Yifei; Li, Xiao-Kun; Jiang, Zhisheng; Xu, Yang; Zhou, Hai; Qiang, Yong; Wu, Haiwei; Shen, Yi

doi:10.1016/j.bbrc.2020.04.108

Cited by 31 publications

(25 citation statements)

References 22 publications

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“…For instance, the most signi cant GO term, cell division, has been reported in multiple articles related to the progression and metastasis of cancer [15][16][17]. We also found that DEGs were signi cantly enriched in angiogenesis, which is a core hallmark of advanced cancers, especially in LUAD [18][19][20]. Besides, other signi cant GO terms, such as regulation of cell cycle and regulation of small GTPase mediated signal transduction were also related to cancer progression and chemoresistance reported in many studies [21,22].…”

Section: Functional Enrichment Of Dmgsmentioning

confidence: 52%

A Methylation-based nomogram for predicting survival in patients with lung adenocarcinoma

Wang

Zhou

Xia

et al. 2020

Preprint

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Background DNA methylation alteration is frequently observed in Lung adenocarcinoma (LUAD) and may play important roles in carcinogenesis, diagnosis, and prognosis. Thus, this study aimed to construct a reliable methylation-based nomogram, guiding prognostic classification screening and personalized medicine for LUAD patients. Method: The DNA methylation data, gene expression data and corresponding clinical information of lung adenocarcinoma samples were extracted from The Cancer Genome Atlas (TCGA) database. Differentially methylated sites (DMSs) and differentially expressed genes (DEGs) were obtained and then calculated expression correlation by pearson correlation coefficient. Functional enrichment analysis and Protein-protein interaction network were used to explore the biological roles of aberrant methylation genes. A prognostic risk score model was constructed using univariate Cox and LASSO analysis and was assessed in an independent cohort. A methylation-based nomogram that included the risk score and the clinical risk factors was developed, which was evaluated by concordance index and calibration curves. Result We identified a total of 1362 DMSs corresponding to 471 DEGs with significant negative correlation, including 752 hypermethylation sites and 610 hypomethylation sites. Univariate cox regression analysis showed that 59 DMSs were significantly associated with overall survival. Using LASSO method, we constructed a three-DMSs signature that was independent predictive of prognosis in the training cohort. Patients in high-risk group had a significant shorter overall survival than patients in low-risk group classified by three-DMSs signature (log-rank p = 1.9E-04). Multivariate cox regression analysis proved that the three-DMSs signature was an independent prognostic factor for LUAD in TCGA-LUAD cohort (HR = 2.29, 95%CI: 1.47–3.57, P = 2.36E-04) and GSE56044 cohort (HR = 2.16, 95%CI: 1.19–3.91, P = 0.011). Furthermore, a nomogram, combining the risk score with clinical risk factors, was developed with C-indexes of 0.71 and 0.70 in TCGA-LUAD and GSE56044 respectively. Conclusions The present study established a robust three-DMSs signature for the prediction of overall survival and further developed a nomogram that could be a clinically available guide for personalized treatment of LUAD patients.

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Section: Functional Enrichment Of Dmgsmentioning

confidence: 52%

A Methylation-based nomogram for predicting survival in patients with lung adenocarcinoma

Wang

Zhou

Xia

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Serdina et al reported that CYP2C9*2 gene polymorphism of cytochrome P450 family members was positively correlated with NAC drug resistance after receiving CMF (Cyclophosphamide, Methotrexate and Fluorouracil) or CMXeloda (Cyclophosphamide, Methotrexate and Xeloda), FAC (Fluorouracil, Adriamycin and Cyclophosphamide) and CAF (Cyclophosphamide, Adriamycin and Fluorouracil) or CAXeloda (Cyclophosphamide, Adriamycin and Xeloda) NAC reagents ( 24 ). What’s more, it has been suggested that Y-box binding protein-1 (YB-1) may be involved in the drug resistance of cisplatin ( 25 ), paclitaxel ( 26 ), and Adriamycin ( 27 ), indicating that Linc00665 can promote the growth of lung adenocarcinoma by interacting with YB-1 ( 28 ). It is also well-known that cisplatin induces tumor cell death by inducing DNA damage, and paclitaxel leads to cell proliferation arrest and cell death by inhibiting microscopic dynamics and activating mitotic checkpoint ( 29 ).…”

Section: Discussionmentioning

confidence: 99%

Linc00665 Can Predict the Response to Cisplatin-Paclitaxel Neoadjuvant Chemotherapy for Breast Cancer Patients

et al. 2021

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ObjectiveLinc00665 is a novel long non-coding RNA that can promote the progression of breast cancer, but its value in predicting the efficacy of neoadjuvant chemotherapy (NAC) for breast cancer has not been reported. We aim to analyze the correlation between Linc00665 expression and pathological complete response (pCR) in breast cancer patients.Materials and MethodsThe present study examined the predictive role of Linc00665 expression in pCR after NAC using both univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve and area under curve (AUC) were utilized to evaluate the performance of Linc00665 in predicting pCR. The Kyoto Encyclopedia of Gene and Genome (KEGG) analysis and Gene Set Enrichment Analysis (GSEA) were also conducted to determine the biological processes where Linc00665 may participate in.ResultsThe present study study totally enrolled 102 breast cancer patients. The univariate analysis showed that Linc00665 level, human epidermal growth factor receptor 2 (HER2) status and hormone receptor (HR) status were correlated with pCR. The multivariate analysis showed that Linc00665 expression was an independent predictor of pCR (OR = 0.351, 95% CI: 0.125–0.936, P = 0.040), especially in patients with HR-positive/HER2-negative subtype (OR = 0.272, 95% CI: 0.104–0.664, P = 0.005). The KEGG analysis indicated that Linc00665 may be involved in drug metabolism. The GSEA analysis revealed that Linc00665 is correlated to DNA damage repair.ConclusionLinc00665 may be a potential novel predictive biomarker for breast cancer in NAC, especially for HR-positive/HER2-negative patients.

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“…For example, by activating and maintaining PKR stability, LINC00665 could promote hepatocellular carcinoma progression [13]. It also could promote lung adenocarcinoma angiogenesis by stabilizing YB-1 protein [9]. Encoding small peptides is another way in which LINC00665 participates in the regulation of tumor progression [21].…”

Section: Discussionmentioning

confidence: 99%

Integrated analysis of cancer stem cells-associated lncRNA-miRNA-mRNA network for ovarian cancer via microarray and Gene Expression Omnibus database

Li¹,

Wang²,

Zhou³

2020

Preprint

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Background: Cancer stem cells (CSCs) are associated with the recurrence, metastasis and chemoresistance of epithelial ovarian cancer. Competing endogenous RNAs (CeRNAs) play an important role in maintenance of ovarian cancer stem cell-like cells (OCSCs) characteristics. To construct a ceRNA regulatory network for OCSCs, microarray technology and Gene Expression Omnibus (GEO) database had been used. Human serous epithelial ovarian carcinoma cell line COC1 cells were treated with cisplatin and paclitaxel then maintained in stem cell conditions for 6 days to obtain CD117+/CD133+ cells (OCSCs). We identified the differentially expressed miRNAs (DEMs), lncRNA (DELs) and mRNA (DEGs) between OCSCs and COC1 by microarray and combined them with representative microarray profiles in GEO Database. Results: According to the combination, 28 DEMs were identified at first, and 452 DEGs were obtained combining with the predicted targets of these miRNAs and our mRNA microarray results. Up-regulated DEGs of them were significantly enriched in ‘p53 signaling pathway’, ‘FoxO signaling pathway’ and ‘MicroRNAs in cancer’, whereas down-regulated DEGs were significantly enriched in ‘Adherens junction’ and ‘Hepatitis C’ pathway. 29 transcripts of 17 lncRNAs should be the ceRNAs of 10 of these miRNAs according to bioinformatics predicted results and lncRNA microarray. Finally, we obtained ceRNA network with 10 DEMs, 21 DEGs, and 25 transcripts of 13 DELs which should play an important role in maintenance of OCSCs characteristics. LINC00665-miR-146a-5p-NRP2 should be one of ceRNA pathways of the network. The qPCR results indicated that the expression of miR-146a-5p in OCSCs was lower than that in COC1, and LINC00665 shows the opposite trend. These results were consistent with the results of microarray partially. When LINC00665 expression was up-regulated in COC1, the cell proliferation ability enhanced, apoptosis rate reduced, and the percentage of G2/M phase cells increased. Conclusions: The ceRNA network we constructed may be involved in the stem cell characteristics maintenance of OCSCs and provide directions for further OCSCs research in the future, so as to assist the development and treatment of ovarian cancer.

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Long non-coding RNA linc00665 interacts with YB-1 and promotes angiogenesis in lung adenocarcinoma

Cited by 31 publications

References 22 publications

A Methylation-based nomogram for predicting survival in patients with lung adenocarcinoma

A Methylation-based nomogram for predicting survival in patients with lung adenocarcinoma

Linc00665 Can Predict the Response to Cisplatin-Paclitaxel Neoadjuvant Chemotherapy for Breast Cancer Patients

Integrated analysis of cancer stem cells-associated lncRNA-miRNA-mRNA network for ovarian cancer via microarray and Gene Expression Omnibus database

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