LINC00324 affects non-small cell lung cancer cell proliferation and invasion through regulation of the miR-139-5p/IGF1R axis

Zhang, Meiqing; Lin, Baoquan; Liu, Yaming; Huang, Tengfei; Chen, Mengmeng; Lian, Duohuang; Deng, Shilong; Zhuang, Congwen

doi:10.1007/s11010-020-03819-2

Cited by 18 publications

(18 citation statements)

References 22 publications

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“…Of note, Chen et al (2018) reported that IKZF1 overexpression promoted immune infiltration in several tumor types, and enhanced the efficacy of anti-PD1 and anti-CTLA4 treatment. Besides, non-coding RNAs in our study, including LINC00324 (Ni et al, 2019;Zhang M. et al, 2020), miR-9-5p (Ma et al, 2020;Wang et al, 2020), and miR-33b-5p (Huang G. et al, 2020;Ni et al, 2020), were also reported in literatures to be associated with the prognosis of various cancer types.…”

Section: Discussionsupporting

confidence: 73%

Identification of a ceRNA Network in Lung Adenocarcinoma Based on Integration Analysis of Tumor-Associated Macrophage Signature Genes

Zhang

et al. 2021

Front. Cell Dev. Biol.

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As research into tumor-immune interactions progresses, immunotherapy is becoming the most promising treatment against cancers. The tumor microenvironment (TME) plays the key role influencing the efficacy of anti-tumor immunotherapy, in which tumor-associated macrophages (TAMs) are the most important component. Although evidences have emerged revealing that competing endogenous RNAs (ceRNAs) were involved in infiltration, differentiation and function of immune cells by regulating interactions among different varieties of RNAs, limited comprehensive investigation focused on the regulatory mechanism between ceRNA networks and TAMs. In this study, we aimed to utilize bioinformatic approaches to explore how TAMs potentially influence the prognosis and immunotherapy of lung adenocarcinoma (LUAD) patients. Firstly, according to TAM signature genes, we constructed a TAM prognostic risk model by the least absolute shrinkage and selection operator (LASSO) cox regression in LUAD patients. Then, differential gene expression was analyzed between high- and low-risk patients. Weighted gene correlation network analysis (WGCNA) was utilized to identify relevant gene modules correlated with clinical characteristics and prognostic risk score. Moreover, ceRNA networks were built up based on predicting regulatory pairs in differentially expressed genes. Ultimately, by synthesizing information of protein-protein interactions (PPI) analysis and survival analysis, we have successfully identified a core regulatory axis: LINC00324/miR-9-5p (miR-33b-5p)/GAB3 (IKZF1) which may play a pivotal role in regulating TAM risk and prognosis in LUAD patients. The present study contributes to a better understanding of TAMs associated immunosuppression in the TME and provides novel targets and regulatory pathway for anti-tumor immunotherapy.

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Section: Discussionsupporting

confidence: 73%

Identification of a ceRNA Network in Lung Adenocarcinoma Based on Integration Analysis of Tumor-Associated Macrophage Signature Genes

Zhang

et al. 2021

Front. Cell Dev. Biol.

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“…Using biologically-replicated drop-out screens, 77 lncRNAs were identified as necessary for proliferation of A549 cells. These include known NSCLC lncRNAs, such as LINC00324 (42), ZFAS1 (43), MIR31HG (44), SBF2-AS1 (45), LINC00680 (46) and LINC00511 (47), that was also found in H460. In addition, lncRNAs identified in other cancer types include LUNAR1 (48), HEIH (49) and LINC00910 (50) (Figure 2e).…”

Section: Multi-phenotype Mapping Of Nsclc Lncrnasmentioning

confidence: 89%

Multi-hallmark long noncoding RNA maps reveal non-small cell lung cancer vulnerabilities

Esposito

Polidori

Meise

et al. 2021

Preprint

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Long noncoding RNAs (lncRNAs) are widely dysregulated in cancer, yet their functional roles in cellular disease hallmarks remain unclear. Here we employ pooled CRISPR deletion to perturb all 831 lncRNAs in KRAS-mutant non-small cell lung cancer (NSCLC), and measure their contribution to proliferation, chemoresistance and migration across two cell backgrounds. Integrative analysis of this data outperforms conventional 'dropout' screens in identifying cancer genes, while prioritising disease-relevant lncRNAs with pleiotropic and background-independent roles. Altogether 60 high-confidence oncogenic lncRNAs are active in NSCLC, the majority identified here for the first time, and which tend to be amplified and overexpressed in tumours. A follow-up antisense oligonucleotide (ASO) screen shortlisted two candidates, Cancer Hallmarks in Lung LncRNA (CHiLL 1&2), whose knockdown consistently suppressed cancer hallmarks in a variety of 2D and 3D tumour models. Molecular phenotyping reveals that CHiLL 1&2 control cellular-level phenotypes via distinct transcriptional networks converging on common oncogenic pathways. In summary, this work reveals a multi-dimensional functional lncRNA landscape underlying NSCLC that contains potential therapeutic vulnerabilities.

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“…Similarly, we identified 365 mRNAs targets of LOC100507053 from the RAID v2.0 database (Figure 4C), and the co-expression analysis suggested three lncRNAs and twelve mRNAs were co-expressed with LOC100507053 (Figure 5B). Earlier reports indicated that LINC00324, by sponging hsa-miR-214-3p, hsa-miR-139-5p, hsa-miR-769-5p promotes the progression of colorectal, lung, and retinoblastoma (41,42,47,48); however, no study was conducted on ESCC. Further, LINC00324 can enhance the stability of family with sequence similarity 83 member B (FAM83B) and WD repeat-containing protein 66 (WDR66) messenger RNA through binding to human antigen R (HuR), thereby promoting cell proliferation and migration in gastric cancer and osteosarcoma, respectively (40,45).…”

Section: Discussionmentioning

confidence: 99%

Circulating Long Non-Coding RNAs LINC00324 and LOC100507053 as Potential Liquid Biopsy Markers for Esophageal Squamous Cell Carcinoma: A Pilot Study

et al. 2022

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BackgroundDespite the availability of advanced technology to detect and treat esophageal squamous cell carcinoma (ESCC), the 5-year survival rate of ESCC patients is still meager. Recently, long non-coding RNAs (lncRNAs) have emerged as essential players in the diagnosis and prognosis of various cancers.ObjectiveThis pilot study focused on identifying circulating lncRNAs as liquid biopsy markers for the ESCC.MethodologyWe performed next-generation sequencing (NGS) to profile circulating lncRNAs in ESCC and healthy individuals’ blood samples. The expression of the top five upregulated and top five downregulated lncRNAs were validated through quantitative real-time PCR (qRT-PCR), including samples used for the NGS. Later, we explored the diagnostic/prognostic potential of lncRNAs and their impact on the clinicopathological parameters of patients. To unravel the molecular target and pathways of identified lncRNAs, we utilized various bioinformatics tools such as lncRnome, RAID v2.0, Starbase, miRDB, TargetScan, Gene Ontology, and KEGG pathways.ResultsThrough NGS profiling, we obtained 159 upregulated, 137 downregulated, and 188 neutral lncRNAs in ESCC blood samples compared to healthy individuals. Among dysregulated lncRNAs, we observed LINC00324 significantly upregulated (2.11-fold; p-value = 0.0032) and LOC100507053 significantly downregulated (2.22-fold; p-value = 0.0001) in ESCC patients. Furthermore, we found LINC00324 and LOC100507053 could discriminate ESCC cancer patients’ from non-cancer individuals with higher accuracy of Area Under the ROC Curve (AUC) = 0.627 and 0.668, respectively. The Kaplan-Meier and log-rank analysis revealed higher expression levels of LINC00324 and lower expression levels of LOC100507053 well correlated with the poor prognosis of ESCC patients with a Hazard ratio of LINC00324 = 2.48 (95% CI: 1.055 to 5.835) and Hazard ratio of LOC100507053 = 4.75 (95% CI: 2.098 to 10.76)]. Moreover, we also observed lncRNAs expression well correlated with the age (>50 years), gender (Female), alcohol, tobacco, and hot beverages consumers. Using bioinformatics tools, we saw miR-493-5p as the direct molecular target of LINC00324 and interacted with the MAPK signaling pathway in ESCC pathogenesis.ConclusionThis pilot study suggests that circulating LINC00324 and LOC100507053 can be used as a liquid biopsy marker of ESCC; however, multicentric studies are still warranted.

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LINC00324 affects non-small cell lung cancer cell proliferation and invasion through regulation of the miR-139-5p/IGF1R axis

Cited by 18 publications

References 22 publications

Identification of a ceRNA Network in Lung Adenocarcinoma Based on Integration Analysis of Tumor-Associated Macrophage Signature Genes

Identification of a ceRNA Network in Lung Adenocarcinoma Based on Integration Analysis of Tumor-Associated Macrophage Signature Genes

Multi-hallmark long noncoding RNA maps reveal non-small cell lung cancer vulnerabilities

Circulating Long Non-Coding RNAs LINC00324 and LOC100507053 as Potential Liquid Biopsy Markers for Esophageal Squamous Cell Carcinoma: A Pilot Study

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