Dataset Information

Long non-coding RNA profiling in laryngeal squamous cell carcinoma and its clinical significance: potential biomarkers for LSCC.

ABSTRACT: Long non-coding RNAs (lncRNAs) are novel transcripts that may play important roles in cancer. Our study aimed to resolve the lncRNA profile of larynx squamous cell carcinoma (LSCC) and to determine its clinical significance. The global lncRNA expression profile in LSCC tissues was measured by lncRNA microarray. Distinctly expressed lncRNAs were identified and levels of AC026166.2-001 and RP11-169D4.1-001 lncRNAs in 87 LSCC samples and paired adjacent normal tissue were analyzed by real-time quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). The clinical significance of these lncRNAs in laryngeal cancer was analyzed and survival data were estimated by the Kaplan-Meier method and the log-rank test. A receiver operating characteristic (ROC) curve was constructed to check the diagnostic value. In the lncRNA expression profile of tumor samples, 684 lncRNAs were upregulated and 747 lncRNAs were downregulated (fold-change >2.0). Of these, AC026166.2-001 and RP11-169D4.1-001 were distinctly dysregulated, with AC026166.2-001 exhibiting lower expression in cancer tissues and RP11-169D4.1-001 higher expression. We verified that both AC026166.2-001 and RP11-169D4.1-001 were expressed at a lower level in cervical lymph nodes compared with paired laryngeal cancer tissues and paired normal tissues. RP11-169D4.1-001 levels were positively correlated with lymph node metastasis (P?=?0.007). From the survival analysis, decreased levels of AC026166.2-001 and RP11-169D4.1-001 were associated with poorer prognosis. The area under the ROC curve was up to 0.65 and 0.67, respectively, and the cut-off point of ?Ct was 11.23 and 10.53, respectively. AC026166.2-001 and RP11-169D4.1-001 may act as novel biomarkers in LSCC and may be potential therapeutic targets for LSCC patients. Both AC026166.2-001 and RP11-169D4.1-001 could be independent prognostic factors for survival in LSCC.

SUBMITTER: Shen Z

PROVIDER: S-EPMC4171522 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Long non-coding RNA profiling in laryngeal squamous cell carcinoma and its clinical significance: potential biomarkers for LSCC.

Shen Zhisen Z Li Qun Q Deng Hongxia H Lu Dakai D Song Haojun H Guo Junming J

PloS one 20140922 9

Long non-coding RNAs (lncRNAs) are novel transcripts that may play important roles in cancer. Our study aimed to resolve the lncRNA profile of larynx squamous cell carcinoma (LSCC) and to determine its clinical significance. The global lncRNA expression profile in LSCC tissues was measured by lncRNA microarray. Distinctly expressed lncRNAs were identified and levels of AC026166.2-001 and RP11-169D4.1-001 lncRNAs in 87 LSCC samples and paired adjacent normal tissue were analyzed by real-time quan ...[more]

PMID: 25243407

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Project description:Studies have shown that long non-coding RNA (lncRNA) may act as the carcinogenic factor or tumor suppressor of laryngeal squamous cell carcinoma (LSCC). This study aims to identify the prognostic value and potential target protein-coding genes (PCGs) of lncRNAs in LSCC. The LSCC datasets were collected from The Cancer Genome Atlas (TCGA). Statistical and bioinformatic methods were used to establish and evaluate the prognostic model, identify the correlation between lncRNAs and clinical characteristics, and screen for PCGs co-expressed with lncRNAs. Weighted gene co-expression network analysis (WGCNA) identified PCG modules associated with clinical characteristics. The expression of lncRNAs and PCGs was analyzed using our LSCC patients by RT-qPCR. LINC02154, LINC00528, SPRY4-AS1, TTTY14, LNCSRLR, and KLHL7-DT were selected to establish the prognostic model. The overall survival (OS) of low-risk patients forecasted by the model was significantly better than high-risk patients. Receiver operating characteristic (ROC) curve and concordance index (C-index) validated the accuracy of the prognostic model. Chi-square test showed that six lncRNAs were associated with one of the clinical characteristics, i.e., gender, clinical stage, T and N stage, respectively. WGCNA identified PCG modules associated with gender, clinical stage, T and N stage. We took the intersection of the PCG modules of WGCNA, the differentially expressed PCGs between LSCC and normal samples, and the PCGs co-expressed with six lncRNAs. The intersection PCGs survival analysis showed that four PCGs, i.e., STC2, TSPAN9, SMS, and TCEA3 affected the OS of LSCC. More importantly, the differential expression of six lncRNAs and four PCGs between LSCC and normal samples was verified by our LSCC patients. In conclusion, we successfully established a prognostic model based on six-lncRNA RiskScore and initially screened the potential target PCGs of six lncRNAs for further basic and clinical research.

Project description:Laryngeal squamous cell carcinoma (LSCC) is a highly invasive malignant tumor in the head and neck area. As an oncogene, long non-coding RNA (lncRNA) nuclear enriched abundant transcript 1 (NEAT1) promotes cell proliferation, migration and invasion several types of cancer. The present study aimed to reveal the effects of NEAT1 on the progression of LSCC. Reverse transcription-quantitative PCR (RT-qPCR) was used to detect relative mRNA expression levels of NEAT1, microRNA (miR)-204-5p and semaphorin (SEMA) 4B. Kaplan-Meier analysis was used to analyze overall survival times. RNA in-situ hybridization (ISH) exhibited the distribution of NEAT1 and miR-204-5p in tissues. RNA fluorescence ISH was used to analyze the distribution of NEAT1 and miR-204-5p in the cells. Western blot analysis was used to detect the expression level of target proteins. Cell viability was analyzed using a MTT assay, while flow cytometry was used to determine cell apoptosis. Wound healing and Transwell invasion assays were used to value cell migration and invasion, respectively. RNA immunoprecipitation assay, bioinformatics prediction and a dual luciferase reporter assay were used to analyze the target relationship. The RT-qPCR results showed that NEAT1 was highly expressed and miR-204-5p had decreased expression in LSCC tissues and cells compared with that in the normal tissue and the 16HBE-14o cell line, respectively. Knockdown of NEAT1 using small interfering (si) RNA and overexpressed miR-204-5p both effectively inhibited the proliferation, migration and invasion of LSCC cells. Besides, further experiments revealed that miR-204-5p was a target of NEAT1. At the same time, silenced miR-204-5p reversed the anti-tumor effects of si-NEAT1. In addition, SEMA4B was targeted by miR-204-5p in LSCC cells and upregulated SEMA4B weakened the antitumor effects of miR-204-5p in LSCC cells. NEAT1 regulated the expression of SEMA4B by targeting miR-204-5p in LSCC cells. Overall, NEAT1 promoted the proliferation and invasion of LSCC cells by regulating the miR-204-5p/SEMA4B axis.

Dataset Information

Long non-coding RNA profiling in laryngeal squamous cell carcinoma and its clinical significance: potential biomarkers for LSCC.

Publications

Long non-coding RNA profiling in laryngeal squamous cell carcinoma and its clinical significance: potential biomarkers for LSCC.

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