scholarly journals H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260103
Author(s):  
Yong Liu ◽  
Yuelin Liu ◽  
Yong Gao ◽  
Lei Wang ◽  
Hengliang Shi ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Independent Predictor ◽  
Clinical Diagnostics ◽  
Competing Endogenous Rna ◽  
Kaplan Meier ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Patient Prognosis ◽  
Cox Analysis ◽  
Improve Patient

Glioblastoma multiforme (GBM) is the most common and also the most invasive brain cancer. GBM progression is rapid and its prognosis is poor. Therefore, finding molecular targets in GBM is a critical goal that could also play important roles in clinical diagnostics and treatments to improve patient prognosis. We jointly analyzed the GSE103227, GSE103229, and TCGA databases for differentially expressed RNA species, obtaining 52 long non-coding RNAs (lncRNAs), 31 microRNAs (miRNAs), and 186 mRNAs, which were used to build a competing endogenous RNA network. Kaplan–Meier and receiver operating characteristic (ROC) analyses revealed five survival-related lncRNAs: H19, LINC01574, LINC01614, RNF144A-AS1, and OSMR-AS1. With multiple optimization mRNAs, we found the H19-hsa-miR-338-3P-NRP1 regulatory pathway. Additionally, we noted high NRP1 expression in GBM patients, and Kaplan–Meier and ROC analyses showed that NRP1 expression was associated with GBM prognosis. Cox analysis indicated that NRP1 is an independent prognostic factor in GBM patients. In conclusion, H19 and hsa-miR-338-3P regulate NRP1 expression, and this pathway plays an important role in GBM.

scholarly journals Identification and Validation of a Five-lncRNA Signature Related to Glioma Using Bioinformatics Analysis

2020 ◽  
Author(s):  
Daofeng Tian ◽  
Haitao Liu ◽  
Pengfei Xu ◽  
Liguo Ye ◽  
Long Wang ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Prognostic Indicator ◽  
High Risk Group ◽  
Survival Prediction ◽  
Kaplan Meier ◽  
Clinical Covariates ◽  
Non Coding Rnas ◽  
Cox Analysis

Abstract BackgroundTo accurately predict the prognosis of glioma patients. Methods and ResultsA total of 541 samples from the TCGA cohort and 181 observations from the CGGA database were included in our study. By weighted gene co-expression network analysis (WGCNA), 14 long non-coding RNAs (lncRNAs) associated with glioma grade were identified. Using univariate and multivariate Cox analysis Five lncRNAs (CYTOR, MIR155HG, LINC00641, AC120036.4 and PWAR6) were selected to develop the prognostic signature. The Kaplan-Meier curve depicted that the patients in high risk group had poor prognosis in both cohorts. The areas under the receiver operating characteristic curve of the signature in predicting the survival of glioma patients at 1, 3, and 5 years were 0.84, 0.92, and 0.90 in the CGGA cohort and 0.8, 0.85 and 0.77 in the TCGA set. Multivariate Cox analysis demonstrated that the five-lncRNA signature was an independent prognostic indicator in both sets (HR = 2.002, p < 0.001; HR = 1.243, p = 0.007, respectively). A nomogram including the lncRNAs signature and clinical covariates was constructed and demonstrated high predictive accuracy in predicting 1-, 3- and 5-year survival probability of glioma patients. ConclusionWe established a five-lncRNA signature as a potentially reliable tool for survival prediction of glioma patients.

scholarly journals P198 Long-term outcomes after mitraclip implantation

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
J P Dias Ferreira Reis ◽  
L Moura Branco ◽  
L Almeida Morais ◽  
R Ilhao Moreira ◽  
P Rio ◽  
...  
Keyword(s):  
Independent Predictor ◽  
Univariate Analysis ◽  
Systolic Pressure ◽  
Pulmonary Artery Systolic Pressure ◽  
First Year ◽  
Exclusion Criteria ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
Overall Mortality

Abstract Background Mitraclip implantation (MI) is a well-established option for patients (P) with severe mitral regurgitation (MR) noneligible to surgery. Its impact on long term prognosis is being addressed by several recent studies. Purpose To identify predictors of morbidity and mortality in P undergoing MI and evaluate if the COAPT, Everest and MITRAFR exclusion criteria (EC) had any impact on the outcome of our population. Methods prospective study of P who underwent MI between 2013 and 2018 in one medical center. EC: COAPT: LVEF &lt; 20%, LV end-diastolic diameter &gt; 70mm or pulmonary artery systolic pressure &gt; 70mmHg; Everest: LVEF &lt; 25% or LV end-systolic diameter (LVESD)&gt;55mm; MITRA-FR: LVEF &lt; 15% or &gt;40% or primary MR. An univariate analysis was performed followed by a multivariate Cox analysis to evaluate overall mortality (M), overall mortality/ heart failure hospitalization (MH) and mortality in the first year post-MI(M1). Survival analysis using Kaplan-Meier plots. p &lt; 0.05 were considered significant. Results 40P, 60% male, mean age 66 ± 12 years (Y) and mean follow-up time of 18 ± 15 months. 67.5% presented with MR grade IV and 75% had functional MR. Successful implantation in 97.5%, with 55% presenting mild MR post-procedure. Overall mortality was 30% (12P), mostly due to cardiovascular causes, with 9P dying in the first year (30%). There was no difference between pts with functional and primary MR: M- 33%vs20% (p = 0.6); MH– 53.3%vs30% (p = 0.5). P who met the COAPT exclusion criteria (N-22) presented an inferior 1Ysurvival (64.5%vs86.7%, p = 0.046). The overall outcome was comparable between P who matched and didn"t match Everest and MITRA-FR exclusion criteria. Basal BNP value (p = 0.037), mean preprocedural MAGGIC score (p = 0.040) and EROA (p = 0.039) were associated to M1. Multivariate Cox analysis revealed that basal BNP was an independent predictor of M (p = 0.017), whereas a higher distance in the pre-procedural 6 minute walk test (p = 0.008) and the "reduction in the MR severity and PASP" (p = 0.008) presented a protective effect. LVESD &gt; 55mm was an independent predictor of MH (p = 0.017), but MR of grade 2 or less after procedure was protective (p = 0.006). Conclusion There was no M difference between P with functional and primary MR. P with COAPT exclusion criteria had worse 1Ysurvival. A higher distance in 6MWT and a reduction in MR severity and PASP were protective. An LVESD &gt; 55 mm had a worse prognosis. Careful P selection may be crucial to improve MI"s results Abstract P198 Figure. Kaplan-Meier Plots

scholarly journals Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Yifang Liao ◽  
Ping Li ◽  
Yanxia Wang ◽  
Hong Chen ◽  
Shangwei Ning ◽  
...  
Keyword(s):  
Gene Expression ◽  
Drug Repositioning ◽  
New Drugs ◽  
Differentially Expressed ◽  
Interaction Data ◽  
Competing Endogenous Rna ◽  
Non Coding Rna ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Long Non Coding Rna

Abstract Background Asthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RNA related competing endogenous RNA network in asthma. In current study, we aimed to explore the long non-coding RNA-microRNA-mRNA competing endogenous RNA network in asthma and their potential implications for therapy and prognosis. Methods Asthma-related gene expression profiles were downloaded from the Gene Expression Omnibus database, re-annotated with these genes and identified for asthma-associated differentially expressed mRNAs and long non-coding RNAs. The long non-coding RNA-miRNA interaction data and mRNA-miRNA interaction data were downloaded using the starBase database to construct a long non-coding RNA-miRNA-mRNA global competing endogenous RNA network and extract asthma-related differentially expressed competing endogenous RNA network. Finally, functional enrichment analysis and drug repositioning of asthma-associated differentially expressed competing endogenous RNA networks were performed to further identify key long non-coding RNAs and potential therapeutics associated with asthma. Results This study constructed an asthma-associated competing endogenous RNA network, determined 5 key long non-coding RNAs (MALAT1, MIR17HG, CASC2, MAGI2-AS3, DAPK1-IT1) and identified 8 potential new drugs (Tamoxifen, Ruxolitinib, Tretinoin, Quercetin, Dasatinib, Levocarnitine, Niflumic Acid, Glyburide). Conclusions The results suggested that long non-coding RNA played an important role in asthma, and these novel long non-coding RNAs could be potential therapeutic target and prognostic biomarkers. At the same time, potential new drugs for asthma treatment have been discovered through drug repositioning techniques, providing a new direction for the treatment of asthma.

Does Histologic Grade Have a Role in the Management of Head and Neck Cancers?

2001 ◽  
Vol 19 (21) ◽  
pp. 4107-4116 ◽  
Author(s):  
André Fortin ◽  
Christian Couture ◽  
René Doucet ◽  
Michele Albert ◽  
Josée Allard ◽  
...  
Keyword(s):  
Head And Neck ◽  
Independent Predictor ◽  
Cox Model ◽  
Postoperative Radiotherapy ◽  
Distant Metastases ◽  
Histologic Grade ◽  
Kaplan Meier ◽  
N Stage ◽  
Grade 3 ◽  
Cox Analysis

PURPOSE: High histologic grade is usually associated with a greater propensity to distant metastases (DM). Its role to predict DM in head and neck cancer is not yet defined. The aim of this study is to evaluate the role of histologic grade as an independent predictor of DM and to determine a subgroup of patients who may benefit from systemic chemotherapy. PATIENTS AND METHODS: This is a retrospective study of 1,266 consecutive patients treated by definitive or postoperative radiotherapy between 1989 and 1997. All patients received at least 50 Gy. All stages and subsites of head/neck were included. DM rates were evaluated by the Kaplan-Meier method with a subsequent Cox analysis. RESULTS: There is a strong correlation of grade with N stage (P < .000001). The metastases-free survival (MFS) was 98%, 90%, and 72% for grades 1, 2, and 3, respectively (P < .000001). In patients with N0 stage, MFS is always greater than 90%, whatever the grade. In the 222 N1 patients, MFS was more than 90% in grade 1 and 2 but dropped to 75% for grade 3 (P = .001). In patients with N2 and N3, MFS was 91%, 79%, and 59% for grades 1, 2, and 3, respectively (P = .008). The same conclusion is applicable when only patients with neck control are analyzed. In a Cox model, grade was an independent predictor of DM (P = .000001) as well as T stage (P = .003), N stage (P = .000001), and neck failure (P = .0003). Higher grade was also an independent predictor of survival (P = .02). CONCLUSION: Patients with histologic grade 1 and grade 2 (except N3) are at low risk of DM. Patients with grade 2 and N3 or patients with grade 3 and N1 to N3 have a higher risk of distant metastases and should be considered for systemic treatment.

scholarly journals Usefulness of procalcitonin clearance to predict mortality in abdominal sepsis

2020 ◽  
Vol 18 ◽  
pp. 205873922094263
Author(s):  
Jiang-Chen Peng ◽  
Qiao-Yi Xu ◽  
Jia Ding ◽  
Zhe Li ◽  
Jie-Min Wang ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Operating Characteristic ◽  
Primary Outcome ◽  
Independent Predictor ◽  
Characteristic Curve ◽  
Abdominal Sepsis ◽  
Rank Test ◽  
Prognostic Accuracy ◽  
Log Rank Test ◽  
Kaplan Meier

To evaluate the plasma levels and clearance of procalcitonin (PCTc) as prognostic biomarkers for patients with abdominal sepsis. A retrospective study of 103 patients with abdominal sepsis was conducted in our intensive care unit (ICU) from 2016 to 2018. Procalcitonin (PCT) plasma levels were measured at the time of diagnosis of abdominal sepsis and daily over the next 5 days. PCTc was calculated from day 3 to day 5. The prognostic accuracy of PCTc was expressed as the area under the receiver operating characteristic curve (AUROC). The Kaplan–Meier method was used to compare the survival curves by log-rank test. Logistic regression analysis was used to predict the 28-day mortality. The primary outcome was 28-day mortality since admission to ICU. Serum PCT levels from day 1 to day 5 did not differ significantly between survivors and non-survivors, while PCTc on day 5 was statistically significantly higher in survivors than that in non-survivors (86.4% vs 38.7%, P < 0.001). The cutoff value for PCTc-day 5 was 70%, with AUROC of 0.726, sensitivity of 64.6%, and specificity of 78.3%. The 28-day mortality was significantly lower among those with PCTc-day 5 >70% compared with those with PCTc-day 5 <70% (9.1% vs 38.3%, log-rank test, P < 0.001), and odds ratio (OR) was 0.16 (95% confidence interval (CI): 0.05–0.48, P < 0.001). The ability to decrease PCT by at least 70% on day 5 was an independent predictor of 28-day mortality after admission to ICU with moderate accuracy.

scholarly journals Genome-wide characterization of coding and non-coding RNAs in the ovary of honeybee workers and queens

Apidologie ◽  
2020 ◽  
Vol 51 (5) ◽  
pp. 777-792
Author(s):  
Xiao Chen ◽  
Wei Shi
Keyword(s):  
Egg Laying ◽  
Differentially Expressed ◽  
Sequencing Data ◽  
Competing Endogenous Rna ◽  
Genome Wide ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Virgin Queens ◽  
Potential Interactions

Abstract Adult honeybee queens and workers drastically differ in ovary state and ovary size. However, this reproductive bias is only partially understood from the view of a single RNA type. In this study, we predicted 10,271 mRNAs, 7235 lncRNAs, 11,794 circRNAs, and 164 miRNAs in the ovary of honeybee workers through bioinformatics. Combining RNA sequencing data of honeybee virgin queens, 4385 mRNAs, 2390 lncRNAs, 5602 circRNAs, and 75 miRNAs were differentially expressed in workers compared with virgins. Compared with egg-laying queens, 6536 mRNAs, 3130 lncRNAs, 5751 circRNAs, and 81 miRNAs were differentially expressed in workers. Further, functional annotation revealed that neural regulation was closely related to ovary state. Moreover, the potential interactions among circRNAs, miRNAs, lncRNAs, and mRNAs revealed that vitellogenin, ecdysone-induced protein 74, ame_circ_0001176, and ame_circ_0001243 might play critical roles in the competing endogenous RNA network. These findings suggest that the integrative RNA networks have potential effects in ovarian phenotype differences in honeybees.

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