Dataset Information

Identification of potential autophagy-associated lncRNA in prostate cancer.

ABSTRACT:

Background

Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer.

Methods

Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) data. An autophagy-mediated competing endogenous RNA network was constructed to screen for autophagy-associated lncRNA, and the preselected lncRNAs were further validated using Gene Expression Omnibus (GEO) datasets. Furthermore, a prognostic lncRNA signature was established and assessed. Additionally, Gene Set Enrichment Analysis (GSEA) revealed the underlying molecular mechanisms.

Results

Using a competing endogenous RNA network, 66 differentially expressed lncRNAs associated with autophagy were identified, and the differential expression of 7 lncRNAs were verified using the TCGA-PRAD, GSE21034, and GSE94767 datasets. Additionally, a lncRNA signature associated with autophagy, including MKNK1-AS1 and INE1, was identified as an independent indicator of survival with a C-index of 0.882. The GSEA analysis indicated that several autophagy-related signaling pathways were enriched in different risk groups.

Conclusions

The lncRNAs associated with autophagy were identified, and a prediction model was developed that could be used as a prognostic predictor for prostate cancer, indicating the critical role of lncRNA in the regulation of prostate cancer autophagy regulation.

SUBMITTER: Li J

PROVIDER: S-EPMC8148478 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Publications

Identification of potential autophagy-associated lncRNA in prostate cancer.

Li Jun J Du Hong H Chen Wenqiang W Qiu Mingxing M He Peng P Ma Zhiwei Z

Aging 20210510 9

<h4>Background</h4>Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer.<h4>Methods</h4>Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) data. An autophagy-mediated competing endogenous RNA network was constructed to screen for autophagy-associated lncRNA, and the preselected lncRNAs w ...[more]

PMID: 33971627

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Project description:BackgroundProgression to castration resistance is the leading cause of death in prostate cancer patients. Long non-coding RNAs (lncRNAs) have recently become a focal point in the regulation of cancer development. However, few lncRNAs associated with castration-resistant prostate cancer (CRPC) have been reported.MethodsFirstly, we explore the CRPC associated lncRNAs by RNA sequencing and validated using quantitative polymerase chain reaction (qRT-PCR) and RNA fluorescence in situ hybridization (RNA-FISH). The clinical significance of FLJ was evaluated in a collected cancer cohort. Functional loss assays were performed to assess the effects of FLJ on CRPC cells both in vitro and in vivo. The regulatory mechanism of FLJ was investigated using immunohistochemistry (IHC), qRT-PCR, dual-luciferase reporter assays, and chromatin immunoprecipitation (ChIP) assays.ResultsFLJ is highly expressed in CRPC and is associated with higher stages and Gleason scores in prostate cancer. FLJ is strongly positively correlated with androgen receptor (AR), which acts as a transcription factor and directly binds to the FLJ promoter region to enhance its transcription. Knockdown of FLJ inhibits CRPC cell proliferation and increases sensitivity to castration and enzalutamide (ENZA) in vitro. Mechanistically, FLJ promotes castration resistance in prostate cancer cells by inhibiting AR nuclear import and cytoplasmic protein degradation, thereby activating the androgen-independent AR signaling pathway. Importantly, in vivo experiments showed that FLJ knockdown inhibited tumor growth and enhanced the therapeutic effect of ENZA.ConclusionsThis study identifies a novel regulatory mechanism by which lncRNA FLJ promotes CRPC progression. Sustained AR activation in CRPC acts as a transcription factor to upregulate FLJ expression. FLJ circumvents the traditional androgen-dependent survival mechanism by inhibiting AR nuclear entry and cytoplasmic protein degradation, thereby activating the AR signaling pathway. Targeting the FLJ-AR signaling axis may represent a novel therapeutic strategy for patients with castration-resistant prostate cancer.

Project description:BackgroundAutophagy is a "self-feeding" phenomenon of cells, which is crucial in mammalian development. Long non-coding RNA (lncRNA) is a new regulatory factor for cell autophagy, which can regulate the process of autophagy to affect tumor progression. However, poor attention has been paid to the roles of autophagy-related lncRNAs in breast cancer.ObjectiveThis study aimed to construct an autophagy-related lncRNA signature that can effectively predict the prognosis of breast cancer patients and explore the potential functions of these lncRNAs.MethodsThe RNA sequencing (RNA-Seq) data of breast cancer patients was collected from The Cancer Genome Atlas (TCGA) database and the GSE20685 database. Multivariate Cox analysis was implemented to produce an autophagy-related lncRNA signature in the TCGA cohort. The signature was then validated in the GSE20685 cohort. The receiver operator characteristic (ROC) curve was performed to evaluate the predictive ability of the signature. Gene set enrichment analysis (GSEA) was used to explore the potential functions based on the signature. Finally, the study developed a nomogram and internal verification based on the autophagy-related lncRNAs.ResultsA signature composed of 9 autophagy-related lncRNAs was determined as a prognostic model, and 1,109 breast cancer patients were divided into high-risk group and low-risk group based on median risk score of the signature. Further analysis demonstrated that the over survival (OS) of breast cancer patients in the high-risk group was poorer than that in the low-risk group based on the prognostic signature. The area under the curve (AUC) of ROC curve verified the sensitivity and specificity of this signature. Additionally, we confirmed the signature is an independent factor and found it may be correlated to the progression of breast cancer. GSEA showed gene sets were notably enriched in carcinogenic activation pathways and autophagy-related pathways. The qRT-PCR identified 5 lncRNAs with significantly differential expression in breast cancer cells based on the 9 lncRNAs of the prognostic model, and the results were consistent with the tissues.ConclusionIn summary, our signature has potential predictive value in the prognosis of breast cancer and these autophagy-related lncRNAs may play significant roles in the diagnosis and treatment of breast cancer.

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Dataset Information

Identification of potential autophagy-associated lncRNA in prostate cancer.

Background

Methods

Results

Conclusions

Publications

Identification of potential autophagy-associated lncRNA in prostate cancer.

Similar Datasets

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