scholarly journals Competing endogenous RNA (ceRNA) hypothetic model based on comprehensive analysis of long non-coding RNA expression in lung adenocarcinoma

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8024 ◽  
Author(s):  
Xiwen Wang ◽  
Rui Su ◽  
Qiqiang Guo ◽  
Jia Liu ◽  
Banlai Ruan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Inverse Correlation ◽  
The Cancer Genome Atlas ◽  
Competing Endogenous Rna ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Non Coding Rna ◽  
Pathway Analyses ◽  
Lung Adenocarcinomas ◽  
Cancer Tissues

Background Non-small cell lung cancer (NSCLC) is a major subtype of lung cancer with high malignancy and bad prognosis, consisted of lung adenocarcinomas (LUAD) and lung squamous cell carcinomas (LUSC) chiefly. Multiple studies have indicated that competing endogenous RNA (ceRNA) network centered long noncoding RNAs (lncRNAs) can regulate gene expression and the progression of various cancers. However, the research about lncRNAs-mediated ceRNA network in LUAD is still lacking. Methods In this study, we analyzed the RNA-seq database from The Cancer Genome Atlas (TCGA) and obtained dysregulated lncRNAs in NSCLC, then further identified survival associated lncRNAs through Kaplan–Meier analysis. Quantitative real time PCR (qRT-PCR) was performed to confirm their expression in LUAD tissues and cell lines. The ceRNA networks were constructed based on DIANA-TarBase and TargetScan databases and visualized with OmicShare tools. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to investigate the potential function of ceRNA networks. Results In total, 1,437 and 1,699 lncRNAs were found to be up-regulated in LUAD and LUSC respectively with 895 lncRNAs overlapping (|log2FC| > 3, adjusted P value <0.01). Among which, 222 lncRNAs and 46 lncRNAs were associated with the overall survival (OS) of LUAD and LUSC, and 18 out of 222 up-regulated lncRNAs were found to have inverse correlation with LUAD patients’ OS (|log2FC| > 3, adjusted P value < 0.02). We selected 3 lncRNAs (CASC8, LINC01842 and VPS9D1-AS1) out of these 18 lncRNAs and confirmed their overexpression in lung cancer tissues and cells. CeRNA networks were further constructed centered CASC8, LINC01842 and VPS9D1-AS1 with 3 miRNAs and 100 mRNAs included respectively. Conclusion Through comprehensively analyses of TCGA, our study identified specific lncRNAs as candidate diagnostic and prognostic biomarkers for LUAD. The novel ceRNA network we created provided more insights into the regulatory mechanisms underlying LUAD.

scholarly journals Regulation of Long Non-coding RNA KCNQ1OT1 Network in Colorectal Cancer Immunity

2021 ◽  
Vol 12 ◽  
Author(s):  
Junjie Liu ◽  
Wei Lv ◽  
Shuling Li ◽  
Jingwen Deng
Keyword(s):  
Colorectal Cancer ◽  
Immune Cell ◽  
Cytotoxic T Cells ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Cerna Network ◽  
Non Coding Rna ◽  
Immune Cell Subsets ◽  
Cancer Genome Atlas ◽  
Cancer Tissues

Over the past few decades, researchers have become aware of the importance of non-coding RNA, which makes up the vast majority of the transcriptome. Long non-coding RNAs (lncRNAs) in turn constitute the largest fraction of non-coding transcripts. Increasing evidence has been found for the crucial roles of lncRNAs in both tissue homeostasis and development, and for their functional contributions to and regulation of the development and progression of various human diseases such as cancers. However, so far, only few findings with regards to functional lncRNAs in cancers have been translated into clinical applications. Based on multiple factors such as binding affinity of miRNAs to their lncRNA sponges, we analyzed the competitive endogenous RNA (ceRNA) network for the colorectal cancer RNA-seq datasets from The Cancer Genome Atlas (TCGA). After performing the ceRNA network construction and survival analysis, the lncRNA KCNQ1OT1 was found to be significantly upregulated in colorectal cancer tissues and associated with the survival of patients. A KCNQ1OT1-related lncRNA-miRNA-mRNA ceRNA network was constructed. A gene set variation analysis (GSVA) indicated that the expression of the KCNQ1OT1 ceRNA network in colorectal cancer tissues and normal tissues were significantly different, not only in the TCGA-COAD dataset but also in three other GEO datasets used as validation. By predicting comprehensive immune cell subsets from gene expression data, in samples grouped by differential expression levels of the KCNQ1OT1 ceRNA network in a cohort of patients, we found that CD4+, CD8+, and cytotoxic T cells and 14 other immune cell subsets were at different levels in the high- and low-KCNQ1OT1 ceRNA network score groups. These results indicated that the KCNQ1OT1 ceRNA network could be involved in the regulation of the tumor microenvironment, which would provide the rationale to further exploit KCNQ1OT1 as a possible functional contributor to and therapeutic target for colorectal cancer.

scholarly journals Identification of LINC00665-miR-let-7b-CCNA2 competing endogenous RNA network associated with prognosis of lung adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yusheng Huang ◽  
Limei Zhong ◽  
Kechao Nie ◽  
Lijuan Li ◽  
Shaohua Song ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Gene Expression Omnibus ◽  
Competing Endogenous Rna ◽  
Protein Protein Interaction ◽  
Cancer Pathways ◽  
Cerna Network ◽  
Competing Endogenous Rna Network ◽  
Significant Enrichment ◽  
Cancer Tissues

AbstractPrognosis of patients with lung cancer remains extremely poor; thus, we sought to unearth novel competing endogenous RNA (ceRNA) networks associated with the prognosis of lung adenocarcinoma (LUAD). Aberrant mRNAs were identified from the intersection of three Gene Expression Omnibus (GEO) datasets. A protein–protein interaction (PPI) network was constructed, and miRNAs and long noncoding RNAs (lncRNAs) upstream of mRNAs were predicted. In the present study, 402 upregulated and 638 downregulated genes in lung cancer tissues were identified. Functional analysis showed significant enrichment of cancer pathways. In these top hub genes, 10 upregulated and 7 downregulated genes had substantial prognostic values in LUAD. Thirty-seven miRNAs were predicted to target 17 key genes, and only five miRNAs exhibited prognostic correlation. Through stepwise reverse prediction and validation from miRNA to lncRNA, four key lncRNAs were identified using expression and survival analysis. Ultimately, the co-expression analysis identified LINC00665-miR-let-7b-CCNA2 as the key ceRNA network associated with the prognosis of LUAD. We successfully constructed a novel ceRNA network wherein each component was significantly associated with the prognosis of LUAD. Hence, we propose that this network may provide key biomarkers or potential therapeutic targets for LUAD prognosis.

scholarly journals Prognostic values, ceRNA network, and immune regulation function of SDPR in KRAS-mutant lung cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoqing Luo ◽  
Shunli Peng ◽  
Sijie Ding ◽  
Qin Zeng ◽  
Rong Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Checkpoint ◽  
Cox Regression ◽  
Tissue Array ◽  
Lung Cancers ◽  
Cox Regression Analysis ◽  
Immune Checkpoint Molecules ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Infiltration Models

Abstract Background Serum Deprivation Protein Response (SDPR) plays an important role in formation of pulmonary alveoli. However, the functions and values of SDPR in lung cancer remain unknown. We explored prognostic value, expression pattern, and biological function of SDPR in non-small cell lung cancer (NSCLC) and KRAS-mutant lung cancers. Methods SDPR expression was evaluated by quantitative real-time PCR (RT-qPCR), immunohistochemistry (IHC), and Western blot on human NSCLC cells, lung adenocarcinoma tissue array, KRAS-mutant transgenic mice, TCGA and GEO datasets. Prognostic values of SDPR were evaluated by Kaplan–Meier and Cox regression analysis. Bioinformatics implications of SDPR including SDPR-combined transcription factors (TFs) and microRNAs were predicted. In addition, correlations between SDPR, immune checkpoint molecules, and tumor infiltration models were illustrated. Results SDPR expression was downregulated in tumor cells and tissues. Low SDPR expression was an independent factor that correlated with shorter overall survival of patients both in lung cancer and KRAS-mutant subgroups. Meanwhile, ceRNA network was constructed to clarify the regulatory and biological functions of SDPR. Negative correlations were found between SDPR and immune checkpoint molecules (PD-L1, TNFRSF18, TNFRSF9, and TDO2). Moreover, diversity immune infiltration models were observed in NSCLC with different SDPR expression and copy number variation (CNV) patterns. Conclusions This study elucidated regulation network of SDPR in KRAS-mutant NSCLC, and it illustrated correlations between low SDPR expression and suppressed immune system, unfolding a prognostic factor and potential target for the treatment of lung cancer, especially for KRAS-mutant NSCLC.

scholarly journals Role of INSL4 Signaling in Sustaining the Growth and Viability of LKB1-Inactivated Lung Cancer

2018 ◽  
Vol 111 (7) ◽  
pp. 664-674 ◽  
Author(s):  
Rongqiang Yang ◽  
Steven W Li ◽  
Zirong Chen ◽  
Xin Zhou ◽  
Wei Ni ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Transcriptome Profiling ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Growth And Survival ◽  
Cancer Genome Atlas ◽  
Lung Adenocarcinomas ◽  
Genome Atlas

Abstract Background The LKB1 tumor suppressor gene is commonly inactivated in non-small cell lung carcinomas (NSCLC), a major form of lung cancer. Targeted therapies for LKB1-inactivated lung cancer are currently unavailable. Identification of critical signaling components downstream of LKB1 inactivation has the potential to uncover rational therapeutic targets. Here we investigated the role of INSL4, a member of the insulin/IGF/relaxin superfamily, in LKB1-inactivated NSCLCs. Methods INSL4 expression was analyzed using global transcriptome profiling, quantitative reverse transcription PCR, western blotting, enzyme-linked immunosorbent assay, and RNA in situ hybridization in human NSCLC cell lines and tumor specimens. INSL4 gene expression and clinical data from The Cancer Genome Atlas lung adenocarcinomas (n = 515) were analyzed using log-rank and Fisher exact tests. INSL4 functions were studied using short hairpin RNA (shRNA) knockdown, overexpression, transcriptome profiling, cell growth, and survival assays in vitro and in vivo. All statistical tests were two-sided. Results INSL4 was identified as a novel downstream target of LKB1 deficiency and its expression was induced through aberrant CRTC-CREB activation. INSL4 was highly induced in LKB1-deficient NSCLC cells (up to 543-fold) and 9 of 41 primary tumors, although undetectable in all normal tissues except the placenta. Lung adenocarcinomas from The Cancer Genome Atlas with high and low INSL4 expression (with the top 10th percentile as cutoff) showed statistically significant differences for advanced tumor stage (P < .001), lymph node metastasis (P = .001), and tumor size (P = .01). The INSL4-high group showed worse survival than the INSL4-low group (P < .001). Sustained INSL4 expression was required for the growth and viability of LKB1-inactivated NSCLC cells in vitro and in a mouse xenograft model (n = 5 mice per group). Expression profiling revealed INSL4 as a critical regulator of cell cycle, growth, and survival. Conclusions LKB1 deficiency induces an autocrine INSL4 signaling that critically supports the growth and survival of lung cancer cells. Therefore, aberrant INSL4 signaling is a promising therapeutic target for LKB1-deficient lung cancers.

scholarly journals Comprehensive Analysis of the Expression and Prognosis for IRXs in Non-small Cell Lung Cancer

2020 ◽  
Author(s):  
Qiongzi Wang ◽  
Xueshan Qiu
Keyword(s):  
Lung Cancer ◽  
Human Lung ◽  
Expression Patterns ◽  
Human Lung Cancer ◽  
Prognostic Indicators ◽  
Normal Lung ◽  
Kaplan Meier ◽  
Go Enrichment ◽  
Cancer Tissues ◽  
Kaplan Meier Plotter

Abstract Iroquoishomeobox transcription factor family （IRXs）have been increasingly reported to play roles in suppressing or promoting a variety of cancers, however, little is known about their expression and prognostic value in terms of human lung cancer. In this study, Oncomine, GEPIA, Kaplan-Meier plotter, and cBioPortal databases were used to analyze the different expression patterns and prognostic values of six IRXs in NSCLC and examine their related functions and pathways using GO enrichment. Compared with normal lung cancer tissues, the expression of IRX1 and IRX2 in NSCLC tissues was significantly lower and was positively correlated with the 10-year survival rate of patients. Higher expression of IRX4 was related to terminal tumors, and suggested a poor prognosis. It was also found that IRXs may play a tumor-suppressive role in the localization of cytoplasm in NSCLC, while localization in the nucleus suggests a more malignant behavior. Together these results suggest that IRX1 and IRX2 may be prognostic indicators of LUAD, and that IRX4 could be a potential target for LUAD treatment.

Identification of novel mRNA-miRNA-lncRNA competing endogenous RNA network associated with prognosis of breast cancer

Epigenomics ◽  
2019 ◽  
Vol 11 (13) ◽  
pp. 1501-1518 ◽  
Author(s):  
Guansheng Zhong ◽  
Weiyang Lou ◽  
Minya Yao ◽  
Chengyong Du ◽  
Haiyan Wei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Competing Endogenous Rna ◽  
Hub Genes ◽  
Cerna Network ◽  
Competing Endogenous Rna Network ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Aim: To identify novel competing endogenous RNA (ceRNA) network related to patients prognosis in breast cancer. Materials & methods: Dysregulated mRNA based on intersection of three Gene Expression Omnibus and The Cancer Genome Atlas datasets were analyzed by bioinformatics. Results: In total 72 upregulated and 208 downregulated genes were identified. Functional analysis showed that some pathways related to cancer were significantly enriched. By means of stepwise reverse prediction and validation from mRNA to lncRNA, 19 hub genes, nine key miRNA and four key lncRNAs were identified by expression and survival analysis. Ultimately, the coexpression analysis identified RRM2-let-7a-5p- SNHG16/ MAL2 as key ceRNA subnetwork associated with prognosis of breast cancer. Conclusion: We successfully constructed a novel ceRNA network, among which each component was significantly associated with breast cancer prognosis.

scholarly journals Overexpression of CLEC18B Associates With the Proliferation, Migration, and Prognosis of Glioblastoma

ASN NEURO ◽  
2018 ◽  
Vol 10 ◽  
pp. 175909141878194 ◽  
Author(s):  
Rui-Ming Guo ◽  
Cheng-Bin Zhao ◽  
Peng Li ◽  
Liang Zhang ◽  
Su-Hua Zang ◽  
...  
Keyword(s):  
Inverse Correlation ◽  
The Cancer Genome Atlas ◽  
Cell Counting ◽  
Migration And Invasion ◽  
Loss Of Function ◽  
Lectin Domain ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Interfering Rna

C-type lectin domain family 18 member B (CLEC18B), encoding a superfamily of CLEC, has been found to be expressed in some of cancer cells, which possibly indicates it associated with cancer. However, the defined functional characterizations of CLEC18B in glioblastoma multiforme (GBM) progression still remain unclear. To this end, clinical relevance of CLEC18B expression with GBM patients’ prognosis was analyzed both in The Cancer Genome Atlas dataset of 174 tissues and 40 GBM tumor tissues collected from our hospital by using the Kaplan–Meier survival and the Cox proportional hazard model. The role of CLEC18B in GBM was determined by loss-of-function assay using small interfering RNA approach in vitro. Functional and signaling analyses were also performed to understand how CLEC18B facilitated the aggressiveness of GBM at molecular and cellular levels using Cell Counting Kit-8 assay, wound-healing, transwell, and Western blot analyses. Results from our analyses showed that CLEC18B was markedly elevated in both GBM tissues and cells, and exhibited strong inverse correlation with overall survival in GBM patients. Moreover, CLEC18B was identified as an independent predictor of patient survival. Functionally, knockdown of CLEC18B inhibited the growth, migration, and invasion of GBM cells. Mechanistic studies revealed that silencing of CLEC18B resulted in downregulation of Wnt/β-catenin signaling activity. Collectively, our findings provide clinical, molecular, and cellular evidence of CLEC18B as a promising prognostic biomarker and therapeutic target for GBM.

Epitope mapping of epidermal growth factor receptor (EGFR) in lung cancer using immunohistochemistry: Fine tuning the protocols

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21162-21162
Author(s):  
J. TIMAR ◽  
K. Derecskei ◽  
B. Dome ◽  
J. Moldvay
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Ligand Binding ◽  
Lung Adenocarcinoma ◽  
Growth Factor Receptor ◽  
Fine Tuning ◽  
Antigen Retrieval ◽  
Egfr Expression ◽  
Lung Adenocarcinomas ◽  
Cancer Tissues

21162 Background: Until now, immunohistochemistry was not able to become a reliable diagnostic approach for EGFR targeted therapies. The golden standard of the determination of EGFR protein expression in paraffin embedded cancer tissues is the EGFRpharmDXtm kit. Methods: Here we show data based on analysis of 110 lung adenocarcinomas, that the recommended protocol may not be optimal for ideal performance of the immunodetection, since microwave retrieval, extended primary antibody-incubation time and replacement of the developer reagent converted four EGFR-negative tumor into EGFR protein positive out of eight lung adenocarcinoma cases. Protocol modification improved the performance of another widely used EGFR-kit, Ventana's CONFIRM, where replacement of the protease antigen retrieval with microwave cooking converted several EGFR-negative tumors to strongly positive. Meanwhile both EGFR-kits detect EGFR expression (juxtamembrane domain) but do not provide information on the expression of epitopes critical from the point of view of targeted therapy. Results: We have developed two protocols, which can detect the ligand-binding (AB-10, BioMarkers) and C-terminal (AB- 335, Biogenex) cytoplasmic domains of the EGFR protein in paraffin embedded lung cancer tissues. We have shown, based on the analysis of more than 110 lung adenocarcinoma tissues, that the ligand binding domain of EGFR is rarely expressed while the C-terminal domain is ubiquitously expressed in EGFR-PharmDX and CONFIRM-positive cancers. The biological activity of EGFR can be characterized either by autophosphorylation of the receptor or by detection of divers phosphorylated downstream signaling components. We have found that unlike p1086 (detected by a Zymed antibody), the p1173 site of EGFR (identified by a rabbit monoclonal of Epitomics) can be detected 27/110 paraffin embedded lung adenocarcinomas. Conclusions: Using the tested antibody panel we can reliably determine the EGFR protein expression in paraffin embedded (lung)cancer tissues. This work was supported by Ministry of Education (NKFP1a-0024–05). No significant financial relationships to disclose.

Sign in / Sign up

Export Citation Format

Share Document