Dataset Information

Long noncoding RNA plasmacytoma variant translocation gene 1 promotes epithelial-mesenchymal transition in osteosarcoma.

ABSTRACT:

Objective

Long noncoding RNAs (lncRNAs) are involved in the proliferation, migration, and invasion of tumors. In the current study, our aim was to explore the role of lncRNA plasmacytoma variant translocation gene 1 (PVT1) in osteosarcoma.

Methods

Quantitative real-time reverse transcription-polymerase chain reaction was used to detect the expression of lncRNA PVT1 in osteosarcoma tissues and cells. The relationship between lncRNA PVT1 expression status and the prognosis of patients with osteosarcoma was analyzed. The effect of lncRNA PVT1 on the malignant biological behavior of osteosarcoma cells in vitro was also analyzed.

Results

LncRNA PVT1 was upregulated in osteosarcoma. High lncRNA PVT1 expression indicated poor prognosis in patients with osteosarcoma. In vitro knockdown of lncRNA PVT1 inhibited the proliferation, migration, and invasion ability of osteosarcoma cells. In addition, we confirmed that lncRNA PVT1 affected the epithelial-mesenchymal transition of osteosarcoma cells.

Conclusion

LncRNA PVT1 is a potential therapeutic target for osteosarcoma.

SUBMITTER: Xun C

PROVIDER: S-EPMC7843291 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Long noncoding RNA plasmacytoma variant translocation gene 1 promotes epithelial-mesenchymal transition in osteosarcoma.

Xun Chuanhui C Jiang Dawei D Tian Zheng Z Yunus Akbar A Chen Jiangtao J

Journal of clinical laboratory analysis 20200922 1

<h4>Objective</h4>Long noncoding RNAs (lncRNAs) are involved in the proliferation, migration, and invasion of tumors. In the current study, our aim was to explore the role of lncRNA plasmacytoma variant translocation gene 1 (PVT1) in osteosarcoma.<h4>Methods</h4>Quantitative real-time reverse transcription-polymerase chain reaction was used to detect the expression of lncRNA PVT1 in osteosarcoma tissues and cells. The relationship between lncRNA PVT1 expression status and the prognosis of patien ...[more]

PMID: 32960485

Similar Datasets

Project description:Objective: This study aimed to investigate the correlation of long noncoding RNA plasmacytoma variant translocation 1 with clinical features and prognosis in patients with multiple myeloma. Methods: The bone marrow samples were collected from 128 patients with de novo symptomatic multiple myeloma (before initial treatment) and 30 healthy donors (on the enrollment). Long noncoding RNA plasmacytoma variant translocation 1 expression in bone marrow-derived plasma cells was detected by reverse transcription quantitative polymerase chain reaction. In patients with multiple myeloma, their demographics and clinical features before treatment were collected; induction treatment response (complete response and overall response rate) and survival profiles (progression-free survival and overall survival) were assessed. Results: Expression of long noncoding RNA plasmacytoma variant translocation 1 was increased in patients with multiple myeloma compared to healthy donors. Receiver-operating characteristic curve showed that long noncoding RNA plasmacytoma variant translocation 1 distinguished patients with multiple myeloma from healthy donors with an area under the curve of 0.884 (95% confidence interval: 0.829-0.940). In patients with multiple myeloma, high expression of long noncoding RNA plasmacytoma variant translocation 1 correlated with elevated β-2 microglobulin, increased International Staging System stage, and raised Del (17p), but it did not correlate with other biochemical indexes or chromosomal abnormalities. Furthermore, long noncoding RNA plasmacytoma variant translocation 1 high expression patients presented with decreased complete response and overall response rate compared to long noncoding RNA plasmacytoma variant translocation 1 low expression patients, and high expression of long noncoding RNA plasmacytoma variant translocation 1 predicted unfavorable progression-free survival as well overall survival in patients with multiple myeloma. Conclusion: Long noncoding RNA plasmacytoma variant translocation 1 might be a potential biomarker for the supervision of disease progression and prognosis in patients with multiple myeloma.

Project description:AbstractGenetic polymorphisms of plasmacytoma variant translocation 1 can affect various tumors including gastro-intestinal, sexual hormone sensitive cancers and lymphoma. Accumulated evidence have shown that plasmacytoma variant translocation 1 acts as an oncogene and tumor suppressor in various cancers. In fact, the rs13255292 and rs2608053 single nucleotide polymorphisms of plasmacytoma variant translocation 1are known to affect lymphoma; however, their effects on gastric cancer are primarily unknown. In this study, we evaluated the association between these plasmacytoma variant translocation 1 polymorphisms and the risk of gastric cancer.In the present study, 462 patients diagnosed with gastric cancer and 377 cancer-free controls were enrolled. The TaqMan genotyping assay was used to analyze the association between rs13255292 and rs2608053 single nucleotide polymorphisms and the risk of gastric cancer.The rs2608053 dominant model (CT + TT) was associated with a decreased risk of gastric cancer in T3 + T4 (odds ratio [OR] = 0.61, confidence interval (CI) = 0.41 - 0.92, P = .019), and stage III Gastric cancer subgroups (OR = 0.59, 95% CI = 0.38 - 0.91, P = .017) compared to the CC genotype. When stratified analysis by sex was carried out, the rs13255292 dominant model (CT + TT) had a significant association with an increased risk of gastric cancer in the female negative lymph node metastasis gastric cancer subgroup, compared to the CC genotype (OR = 1.96, 95% CI = 1.16 - 3.30, P = .012). The recessive model (TT) of rs13255292 was associated with an increased risk of gastric cancer in the male T3 + T4 gastric cancer subgroups compared to the CC + CT genotype (OR = 3.82, 95% CI = 1.02 - 14.33, P = .047). The dominant model (CT + TT) of rs2608053 was related to a decreased risk of gastric cancer in male T3 + T4 (OR = 0.57, 95% CI = 0.33 - 0.98, P = .042) and stage III gastric cancer subgroups (OR = 0.49, 95% CI = 0.27 - 0.89, P = .020) compared to the CC genotype.The rs13255292 and rs2608053 single nucleotide polymorphisms in plasmacytoma variant translocation 1 may contribute to susceptibility of gastric cancer. Further studies with more subjects and different ethnic groups are needed to validate our results.

Project description:AbstractReliable biomarkers are of great significance for the treatment and diagnosis of hepatocellular carcinoma (HCC). This study identified potential prognostic epithelial-mesenchymal transition related lncRNAs (ERLs) by the cancer genome atlas (TCGA) database and bioinformatics.The differential expression of long noncoding RNA (lncRNA) was obtained by analyzing the lncRNA data of 370 HCC samples in TCGA. Then, Pearson correlation analysis was carried out with EMT related genes (ERGs) from molecular signatures database. Combined with the univariate Cox expression analysis of the total survival rate of hepatocellular carcinoma (HCC) patients, the prognostic ERLs were obtained. Then use "step" function to select the optimal combination of constructing multivariate Cox expression model. The expression levels of ERLs in HCC samples were verified by real-time quantitative polymerase chain reaction.Finally, we identified 5 prognostic ERLs (AC023157.3, AC099850.3, AL031985.3, AL365203.2, CYTOR). The model showed that these prognostic markers were reliable independent predictors of risk factors (P value <.0001, hazard ratio [HR] = 2.400, 95% confidence interval [CI] = 1.667-3.454 for OS). In the time-dependent receiver operating characteristic analysis, this prognostic marker is a good predictor of HCC survival (area under the curve of 1 year, 2 years, 3 years, and 5 years are 0.754, 0.720, 0.704, and 0.662 respectively). We analyzed the correlation of clinical characteristics of these prognostic markers, and the results show that this prognostic marker is an independent factor that can predict the prognosis of HCC more accurately. In addition, by matching with the Molecular Signatures Database, we obtained 18 ERLs, and then constructed the HCC prognosis model and clinical feature correlation analysis using 5 prognostic ERLs. The results show that these prognostic markers have reliable independent predictive value. Bioinformatics analysis showed that these prognostic markers were involved in the regulation of EMT and related functions of tumor occurrence and migration.Five prognostic types of ERLs identified in this study can be used as potential biomarkers to predict the prognosis of HCC.

Dataset Information

Long noncoding RNA plasmacytoma variant translocation gene 1 promotes epithelial-mesenchymal transition in osteosarcoma.

Objective

Methods

Results

Conclusion

Publications

Long noncoding RNA plasmacytoma variant translocation gene 1 promotes epithelial-mesenchymal transition in osteosarcoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets