Integrated analysis of long noncoding RNA expression profiles in lymph node metastasis of hepatocellular carcinoma

Gene ◽  
2018 ◽  
Vol 676 ◽  
pp. 47-55 ◽  
Author(s):  
Jie Ma ◽  
Li Zhang ◽  
Ping Yang ◽  
Zhao-Chong Zeng ◽  
Zuo-Lin Xiang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Expression Profiles ◽  
Integrated Analysis ◽  
Rna Expression ◽  
Node Metastasis

scholarly journals Long noncoding RNA UCA1 as a novel biomarker of lymph node metastasis and prognosis in human cancer: a meta-analysis

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Congmin Liu ◽  
Jing Jin ◽  
Jin Shi ◽  
Liqun Wang ◽  
Zhaoyu Gao ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Hot Spot ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Increased Risk

AbstractBackground: Urothelial carcinoma associated 1 (UCA1), a novel long noncoding RNA (lncRNA) which is first discovered in 2006 in human bladder cancer and has become a hot spot in recent years. UCA1 has been demonstrated correlated with clinical outcomes in various cancers. However, the results from each study are insufficient and not completely consistent. Therefore, we perform a systematic meta-analysis to evaluate the value for a feasible biomarker for metastasis and prognosis of cancer. Methods: Relevant English literatures were searched in PubMed, Cochrane Library, Web of science, Embase databases and Chinese literatures were searched in Chinese National Knowledge Infrastructure Wanfang from inception up to 17 April 2018. The pooled odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) using random/fixed-effect were used to identify the relationship between UCA1 and lymph node metastasis (LNM) or overall survival (OS) of cancer patients. Subgroup analysis and sensitivity analysis were performed. The current meta-analysis was performed using Review Manager 5.3 and Stata 12.0 software. Results: A total of 3411 patients from 38 studies were finally included. Patients who with high UCA1 expression suffered from an increased risk of LNM (OR = 2.50; 95% CI: 1.93–3.25). UCA1 was also significantly associated with OS (HR = 2.05; 95% CI: 1.77–2.38). Subgroup analyses across several different variables also showed the similar results in LNM and OS of cancer patients. Conclusion: High expression of UCA1 was linked with poor clinical outcome. UCA1 can serve as a potential molecular marker for metastasis and prognosis in different types of cancers.

Long Noncoding RNA C21orF96 Promotes the Migration, Invasion and Lymph Node Metastasis in Gastric Cancer

2016 ◽  
Vol 16 (9) ◽  
pp. 1101-1108 ◽  
Author(s):  
Ziguo Yang ◽  
Qiaoming Zhi ◽  
Dan Wang ◽  
Li Zhang ◽  
Burnley Preston ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Node Metastasis

Invasion and metastasis-related long noncoding RNA expression profiles in hepatocellular carcinoma

Tumor Biology ◽  
2015 ◽  
Vol 36 (10) ◽  
pp. 7409-7422 ◽  
Author(s):  
Yunzhen Gao ◽  
Geng Chen ◽  
Yongyi Zeng ◽  
Jinhua Zeng ◽  
Minjie Lin ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Expression Profiles ◽  
Rna Expression ◽  
Invasion And Metastasis

scholarly journals A Noninvasive Prediction Nomogram for Lymph Node Metastasis of Hepatocellular Carcinoma Based on Serum Long Noncoding RNAs

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jie Ma ◽  
Li Zhang ◽  
Hai-Rong Bian ◽  
Zheng-Guo Lu ◽  
Lian Zhu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Noncoding Rna ◽  
Validation Cohort ◽  
Serum Samples ◽  
Node Metastasis ◽  
High Discrimination ◽  
Carcinogenic Effects ◽  
Independent Risk Factors

Background and Objectives. Lymph node metastasis (LNM) is common in hepatocellular carcinoma (HCC). In order to intervene HCC LNM in advance, we developed a prediction nomogram based on serum long noncoding RNA (lncRNA). Methods. Serum samples from 242 HCC patients were gathered and randomly enrolled into the training and validation cohorts. LncRNAs screened out from microarray were quantified with qRT-PCR. Univariate and multivariate analyses were applied for screening independent risk factors. A prediction nomogram was ultimately developed for HCC LNM. The nomogram was estimated by discrimination and calibration tests in the validation cohort. The effects of the candidate lncRNA on the malignant phenotypes of HCC cells were further explored by wound healing assay and colony formation assay. Results. ENST00000418803, lnc-ZNF35-4:1, lnc-EPS15L1-2:1, BCLC stage, and vascular invasion were selected as components of the nomogram according to the adjusted multivariate analysis. The nomogram effectively predicted the HCC LNM risk among the cohorts with suitable calibration fittings and displayed high discrimination with C-index of 0.89 and 0.85. Moreover, the abnormally high expression of lnc-EPS15L1-2:1 in HCC cell lines showed significant carcinogenic effects. Conclusions. The noninvasive nomogram may provide more diagnostic basis for treatments of HCC. The biomarkers identified can bring new clues to basic researches.

scholarly journals Long noncoding RNA CCAT1 rs67085638 SNP contribution to the progression of gastric cancer in a Polish population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tomasz Olesiński ◽  
Anna Lutkowska ◽  
Adam Balcerek ◽  
Anna Sowińska ◽  
P Piotrowski ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Insertion Site ◽  
Leukaemia Virus ◽  
Node Metastasis ◽  
Melting Analysis

AbstractThe role of the long noncoding RNA CCAT1 NC_000008.10:g.128220661C > T (rs67085638) in the development of colon cancer has been reported. Therefore, we assessed the prevalence of rs67085638 in patients with gastric cancer (GC). We also evaluated the effect of rs67085638 on B-cell-specific Moloney leukaemia virus insertion site 1 (BMI1) transcripts in primary GC and counterpart histopathologically confirmed disease-free margin tissue. Using high-resolution melting analysis, we evaluated rs67085638 frequency in patients with the GC genotype (n = 214) and controls (n = 502) in a Polish Caucasian population. qRT-PCR was used to determine BMI1 transcripts. We observed the trend of rs67085638 association in all patients with GC (ptrend = 0.028), a strong risk of the GC genotype in male (ptrend = 0.035) but not female (ptrend = 0.747) patients, and the association with non-cardia GC (ptrend = 0.041), tumour stages T3 (ptrend = 0.014) and T4 (ptrend = 0.032), differentiation grading G3 (ptrend = 0.009), lymph node metastasis stage N3 (ptrend = 0.0005) and metastasis stage M0 (ptrend = 0.027). We found that significantly increased BMI1 transcripts were associated with the primary GC genotype classified as grade G3 (p = 0.011) and as lymph node metastasis N3 (p = 0.010) and counterpart marginal tissues (p = 0.026, p = 0.040, respectively) from carriers of the T/T versus C/C genotypes. rs67085638 may contribute to increased BMI1 transcripts and the progression and rapid growth of GC.

scholarly journals Long noncoding RNA ANRIL as a novel biomarker of lymph node metastasis and prognosis in human cancer: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 9 (18) ◽  
pp. 14608-14618 ◽  
Author(s):  
Han Wang ◽  
Yang Liu ◽  
Jianhua Zhong ◽  
Chenglong Wu ◽  
Yuantang Zhong ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Human Cancer ◽  
Meta Analysis ◽  
Node Metastasis
Sign in / Sign up

Export Citation Format

Share Document