Increased expression of long non-coding RNA GLIDR in prostate cancer

GLIDR-mediated regulation of tumor malignancy and cisplatin resistance in non-small cell lung cancer via the miR-342-5p/PPARGC1A axis

BACKGROUND

Lung cancer, particularly non-small cell lung cancer (NSCLC), remains a significant cause of cancer-related mortality, with drug resistance posing a substantial obstacle to effective therapy. LncRNAs have emerged as pivotal regulators of NSCLC progression, suggesting potential targets for cancer diagnosis and treatment. Therefore, identifying new lncRNAs as therapeutic targets and comprehending their underlying regulatory mechanisms are crucial for treating NSCLC.

MATERIALS AND METHODS

RNA-sequencing data from 149 lung adenocarcinoma (LUAD) patients, including 130 responders and 19 nonresponders to primary treatment, were analyzed to identify the most effective lncRNAs. The effects and regulatory pathways of the selected lncRNAs on NSCLC and cisplatin resistance were investigated.

RESULTS

Glioblastoma-downregulated RNA (GLIDR) was the most effective lncRNA in nonresponsive NSCLC patients undergoing primary treatment, and it was highly expressed in NSCLC patients and those with cisplatin-resistant NSCLC. Reducing GLIDR expression enhanced cisplatin sensitivity in resistant NSCLC and decreased the malignant characteristics of NSCLC. Moreover, bioinformatic analysis and luciferase assays revealed that microRNA-342-5p (miR-342-5p) directly targets GLIDR. MiR-342-5p overexpression inhibited NSCLC cell proliferation, migration, and invasion, whereas miR-342-5p inhibition promoted NSCLC malignancy, which was rescued by suppressing GLIDR. Peroxisome proliferator-activated receptor-gamma coactivator-1alpha (PPARGC1A) was identified as a downstream target of miR-342-5p. PPARGC1A inhibition increased cisplatin sensitivity in resistant NSCLC. Moreover, PPARGC1A inhibition suppresses NSCLC malignancy, whereas PPARGC1A overexpression promoted it. Furthermore, GLIDR overexpression was found to counteract the inhibitory effects of miR-342-5p on PPARGC1A, and increased PPARGC1A expression reversed the inhibition of NSCLC malignancies caused by decreased GLIDR.

CONCLUSIONS

GLIDR is a prognostic marker for cisplatin treatment in NSCLC and a therapeutic target in cisplatin-resistant NSCLC. GLIDR promotes NSCLC progression by sponging miR-342-5p to regulate PPARGC1A expression and regulates cisplatin resistance through the miR-342-5p/PPARGC1A axis, underscoring its potential as a therapeutic target in cisplatin-resistant NSCLC.

GLIDR promotes the aggressiveness progression of prostate cancer cells by sponging miR-128-3p

Glioblastoma downregulated RNA (GLIDR) is a newly discovered long non-coding RNA (lncRNA) that its increased expression indicates a poor prognosis of prostate cancer (PCa). However, the effect of GLIDR on PCa cells is not clear. Our study investigated the role and molecular mechanism of GLIDR in PCa cells. The results showed that GLIDR expression levels were higher in PCa samples and cells than in control. GLIDR could regulate the invasive potential, epithelial-to-mesenchymal transition (EMT) and proliferation in PC-3 and LnCaP cells. Besides, GLIDR could weaken the inhibitory effects of miR-128-3p on invasion, EMT and proliferation in PCa cells. Western blotting proved that miR-128-3p affected the expression of EMT markers, such as E-cadherin, Snail and N-cadherin, and GLIDR could reversed the effects of miR-128-3p on the expression levels of EMT markers in PCa cells. In addition, knockdown of miR-128-3p stimulated the invasion, EMT, and proliferation in PCa cells, whereas these effects were reversed when GLIDR expression was knocked down. GLIDR knockdown inhibited the invasion, EMT, and proliferation in PCa cells, and GLIDR was shown to sponge miR-128-3p. Together, these results highlight GLIDR as a potential therapeutic target for the PCa treatment.

Long non-coding RNA GLIDR accelerates the tumorigenesis of lung adenocarcinoma by miR-1270/TCF12 axis

Lung adenocarcinoma (LUAD) is a deadly cancer with a high incidence worldwide. Long noncoding RNAs (lncRNAs) have been confirmed to have the regulatory effects on the occurrence and development of LUAD. But the specific functions of lncRNA GLIDR in LUAD are still not explicit and need to be investigated. On the basis of the outcomes of RT-qPCR experiments, the relative expression of GLIDR was evidently up-regulated in LUAD cells, while that of miR-1270 was down-regulated. The down-regulation of GLIDR inhibits cell proliferation in accordance with the results of CCK-8, EdU and colony formation assays, and accelerates cell apoptosis according to the results of flow cytometry and JC-1 analyses. Luciferase reporter, RNA pull down and RIP assays indicated that GLIDR could sponge miR-1270 in LUAD. Additionally, TCF12 was proved as the target gene of miR-1270. Furthermore, rescue experiments indicated that overexpression of TCF12 could offset the inhibitory functions of silencing GLIDR on cell behaviors. In brief, this study has demonstrated that GLIDR/miR-1270/TCF12 axis plays the crucial role in LUAD, which offers a new insight into researches on molecular mechanism concerning LUAD and provides with a new perspective for LUAD treatment.

Identification of KEY lncRNAs and mRNAs Associated with Oral Squamous Cell Carcinoma Progression

Background:

Oral squamous cell carcinoma (OSCC) has been the sixth most common cancer worldwide. Emerging studies showed long non-coding RNAs to play a key role in human cancers. However, the molecular mechanisms underlying the initiation and progression of OSCC remained to be further explored.

Objective:

The present study aimed to identify differentially expressed lncRNAs and mRNAs in OSCC.

Methods:

GSE30784 was analyzed to identify differentially expressed lncRNAs and mRNAs in OSCC. Protein-protein interaction network and co-expression network analyses were performed to reveal the potential roles of OSCC related mRNAs and lncRNAs.

Results:

In the present study, we identified 21 up-regulated lncRNAs and 54 down-regulated lncRNAs in OSCC progression. Next, we constructed a lncRNA related co-expression network in OSCC, which included 692 mRNAs and 2193 edges. Bioinformatics analysis showed that lncRNAs were widely co-expressed with regulating type I interferon signaling pathway, extracellular matrix organization, collagen catabolic process, immune response, ECM-receptor interaction, Focal adhesion, and PI3K-Akt signaling pathway. A key network, including lncRNA C5orf66-AS1, C21orf15, LOC100506098, PCBP1-AS1, LOC284825, OR7E14P, HCG22, and FLG-AS1, was found to be involved in the regulation of immune response to tumor cell, Golgi calcium ion transport, negative regulation of vitamin D receptor signaling pathway, and glycerol- 3-phosphate catabolic process. Moreover, we found higher expressions of CYP4F29P, PCBP1- AS1, HCG22, and C5orf66-AS1, which were associated with shorter overall survival time in OSCC samples.

Conclusions:

Our analysis can provide novel insights to explore the potential mechanisms underlying OSCC progression.

LncRNA PCAT-1 in gastrointestinal cancers: A meta-analysis

BACKGROUND

Prostate-cancer-associated ncRNA transcript 1 (PCAT-1), a newly discovered lncRNA, was implicated in the progression of multiple tumors. We conducted a systematic review and meta-analysis to determine its prognostic potential for gastrointestinal cancers.

METHODS

A literature survey was conducted by searching the PubMed, Web of Science, Cochrane Library, Embase together with Wanfang, and China National Knowledge Infrastructure (CNKI) database for articles published as of October 15, 2017. Hazard ratio (HR) or odds ratio (OR) with 95% confidence intervals (95% CIs) were calculated to demonstrate prognostic value of PCAT-1 using Stata 12.0 software.

RESULTS

A total of 6 studies with 961 cases were pooled in the analysis to evaluate the prognostic value of PCAT-1 in gastrointestinal cancers. Increased PCAT-1 expression was significantly correlated with poor overall survival (OS) (HR = 1.04, 95% CI: 1.02-1.06). Statistical significance was also observed in subgroup meta-analysis stratified by cancer type, histology type, sample size, and analysis type. Additionally, high expression of PCAT-1 was significantly associated with deeper tumor invasion (OR = 4.46, 95% CI: 3.00-6.63), positive lymph node metastasis (OR = 3.76, 95% CI: 1.39-10.16), and advanced clinical stage (OR = 4.09, 95% CI: 1.55-10.82).

CONCLUSION

High expression of PCAT-1 was related to poor prognosis and could be a promising biomarker of clinicopathologic features in gastrointestinal cancers. More studies will be necessary to verify and strengthen the clinical value of PCAT-1 in gastrointestinal cancers.