scholarly journals The Association between Abnormal Long Noncoding RNA MALAT-1 Expression and Cancer Lymph Node Metastasis: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jun Wang ◽  
Yongsheng Pan ◽  
Jie Wu ◽  
Cheng Zhang ◽  
Yuan Huang ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Chinese Patients ◽  
Cochrane Library ◽  
Multiple Cancer ◽  
Expression Levels ◽  
Node Metastasis ◽  
Significant Difference

Previous studies have investigated that the expression levels of MALAT-1 were higher in cancerous tissues than matched histologically normal tissues. And, to some extent, overexpression of MALAT-1 was inclined to lymph node metastasis. This meta-analysis collected all relevant articles and explored the association between MALAT-1 expression levels and lymph node metastasis. We searched PubMed, EmBase, Web of Science, Cochrane Library, and OVID to address the level of MALAT-1 expression in cancer cases and noncancerous controls (accessed February 2015). And 8 studies comprising 696 multiple cancer patients were included to assess this association. The odds ratio (OR) and its corresponding 95% confidence interval (CI) were calculated to assess the strength of the association using Stata 12.0 version software. The results revealed there was a significant difference in the incidence of lymph node metastasis between high MALAT-1 expression group and low MALAT-1 expression group (OR = 1.94, 95% CI 1.15–3.28, P=0.013 random-effects model). Subgroup analysis indicated that MALAT-1 high expression had an unfavorable impact on lymph node metastasis in Chinese patients (OR = 1.87, 95% CI 1.01–2.46). This study demonstrated that the incidence of lymph node metastasis in patients detected with high MALAT-1 expression was higher than that in patients with low MALAT-1 expression in China.

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.

scholarly journals Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sergei Bedrikovetski ◽  
Nagendra N. Dudi-Venkata ◽  
Hidde M. Kroon ◽  
Warren Seow ◽  
Ryash Vather ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Systematic Review ◽  
Deep Learning ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Learning Models ◽  
Node Metastasis

Abstract Background Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal cancer. Methods A systematic review was conducted according to PRISMA guidelines using a literature search of PubMed (MEDLINE), EMBASE, IEEE Xplore and the Cochrane Library for studies published from January 2010 to October 2020. Studies reporting on the accuracy of radiomics models and/or deep learning for the detection of lymph node metastasis in colorectal cancer by CT/MRI were included. Conference abstracts and studies reporting accuracy of image segmentation rather than nodal classification were excluded. The quality of the studies was assessed using a modified questionnaire of the QUADAS-2 criteria. Characteristics and diagnostic measures from each study were extracted. Pooling of area under the receiver operating characteristic curve (AUROC) was calculated in a meta-analysis. Results Seventeen eligible studies were identified for inclusion in the systematic review, of which 12 used radiomics models and five used deep learning models. High risk of bias was found in two studies and there was significant heterogeneity among radiomics papers (73.0%). In rectal cancer, there was a per-patient AUROC of 0.808 (0.739–0.876) and 0.917 (0.882–0.952) for radiomics and deep learning models, respectively. Both models performed better than the radiologists who had an AUROC of 0.688 (0.603 to 0.772). Similarly in colorectal cancer, radiomics models with a per-patient AUROC of 0.727 (0.633–0.821) outperformed the radiologist who had an AUROC of 0.676 (0.627–0.725). Conclusion AI models have the potential to predict lymph node metastasis more accurately in rectal and colorectal cancer, however, radiomics studies are heterogeneous and deep learning studies are scarce. Trial registration PROSPERO CRD42020218004.

scholarly journals The Prognostic Value of Nanog Overexpression in Lung Cancer: A Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Cheng ◽  
Hongzhi Wang ◽  
Juanjuan Yuan ◽  
Ziwei Cheng ◽  
Dongwei Xing ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cochrane Library ◽  
Pathological Features ◽  
Node Metastasis ◽  
And Gender

Background. Recent several studies have showed that the nanog overexpression leads to poor prognosis in some kinds of cancer including hepatocellular carcinoma and gastrointestinal luminal cancer. However, the correlations between prognosis and clinic-pathological features and nanog overexpression in lung cancer are still not well-known. Thus, we performed a meta-analysis to evaluate the role of nanog in lung cancer.Methods. An electronic retrieval for related studies was conducted in PubMed, Cochrane Library, Web of Science, EMBASE databases, Chinese CNKI, and the Chinese Wan Fang database up to May 2018. The relationships between nanog overexpression and overall survival (OS) and disease-free survival (DFS) as well as clinic-pathological features in lung cancer were investigated. Pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated by STATA12.Results.11 studies containing 1422 patients were identified in our meta-analysis. The overexpression of nanog showed decreased OS (HR = 1.83, 95% CI = 1.49-2.25,P≤ 0.001) and DFS (HR = 1.86, 95% CI = 1.2-2.9,P= 0.006). Moreover, overexpression of nanog was significantly related to differentiation (OR = 4.17, 95% CI = 2.17-6.43,P≤ 0.001), lymph node metastasis (OR = 1.76, 95% CI = 1.06-2.91,P= 0.028) and tumor size (OR = 1.93, 95% CI = 1.17-3.20,P= 0.010), and no correlation with T stage, TNM, stage, and gender.Conclusions.Our results suggested that nanog overexpression, a hazard factor of differentiation, lymph node metastasis, and tumor size, may predicate decreased OS and DFS for lung cancer.

scholarly journals SP1 Expression and the Clinicopathological Features of Tumors: A Meta-Analysis and Bioinformatics Analysis

2021 ◽  
Vol 27 ◽  
Author(s):  
Yue Gao ◽  
Kai Gan ◽  
Kuangzheng Liu ◽  
Bin Xu ◽  
Ming Chen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Tnm Stage ◽  
Cochrane Library ◽  
Lower Grade ◽  
Depth Of Invasion ◽  
Node Metastasis

Objective: Specificity protein 1 (SP1) plays a vital role to promote carcinogenesis in a variety of tumors, and its up-regulated expression is reported to be a hinter of poor prognosis of patients. We conducted this meta-analysis to elucidate the clinical significance and prognostic value of SP1 in malignant tumors.Methods: PubMed and Cochrane Library were searched for studies published between January 1, 2000 and June 1, 2020. The combined odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95% CIs) were used to investigate the correlation of SP1 with clinical behaviors and prognosis in patients with solid tumors. UALCAN was used to conduct bioinformatics analysis.Results: A total of 24 documents involving 2,739 patients were enrolled in our review. The random-effect model was used to perform this analysis due to the high level of heterogeneity. SP1 low expression was not conducive to lymph node metastasis (OR = 0.42; 95% CI: 0.28-0.64; p < 0.05), progression of TNM stage (OR = 0.34; 95% CI: 0.20-0.57; p < 0.05) and tumor infiltration (OR = 0.33; 95% CI: 0.18-0.60; p < 0.05). Elevated SP1 expression was connected with shorter survival time of patients with hepatocellular carcinoma, pancreatic cancer, gastric cancer and esophageal cancer (HR = 1.95; 95% CI: 1.16-3.28; p < 0.05). According to UALCAN database, breast cancer, ovarian cancer, colon cancer and lung adenocarcinoma display an elevated SP1 expression in comparison with normal tissues. Kaplan-Meier survival plots indicate SP1 mRNA level has negative effects on prognosis of liver hepatocellular carcinoma and brain lower grade glioma.Conclusion: SP1 was associated with lymph node metastasis, TNM stage and depth of invasion, and indicated poor clinical outcome, which brought new insights on the potential candidacy of SP1 in clinical usage.

scholarly journals Relationship of lymphovascular invasion with lymph node metastasis and prognosis in superficial esophageal carcinoma: Systematic review and meta-analysis

2019 ◽  
Author(s):  
Jinxin Yang ◽  
Zhouyi Lu ◽  
An Wang ◽  
Yulong Tan ◽  
Dekang Zhang
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Carcinoma ◽  
Lymphovascular Invasion ◽  
Dominant Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Superficial Esophageal Carcinoma ◽  
Prognostic Prediction

Abstract Background:The development of tumor cells inside the lymphatics or blood vessels is known as lymphovascular invasion (LVI). The correlation between LVI, lymph node metastasis (LNM), and the diagnosis of superficial esophageal carcinoma (SEC) remains unclear.Methods:We searched Embase, PubMed, Web of Science, and Cochrane Library databases for prospective articles to better understand the relationship between LVI, LNM, and SEC diagnosis.Results:We included 28 articles containing data for 5041 patients (range: 29-498) in our meta-analysis. The hazard ratio between LVI and overall survival (OS) was 1.62 with 95% confidence interval (CI) (1.17-2.26; p = 0.004) and the odds ratio between LVI and LNM was 5.7 with 95% CI (4.43-7.33; p < 0.0001). LVI in patients diagnosed with SEC results in a poor OS rate and a higher rate of LNM.Conclusions:The results indicate that LVI plays a dominant role in the prognosis of LNM in SEC and in the prognostic prediction for SEC.Keywords: Lymphovascular invasion; lymph node metastasis; prognosis; superficial esophageal carcinoma

scholarly journals Relationship of lymphovascular invasion with lymph node metastasis and prognosis in superficial esophageal carcinoma: Systematic review and meta-analysis

2020 ◽  
Author(s):  
Jinxin Yang ◽  
Zhouyi Lu ◽  
Lintao Li ◽  
Yong Li ◽  
Yulong Tan ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Carcinoma ◽  
Lymphovascular Invasion ◽  
Dominant Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Superficial Esophageal Carcinoma ◽  
Prognostic Prediction

Abstract Background: The development of tumor cells inside the lymphatics or blood vessels is known as lymphovascular invasion (LVI). The correlation between LVI, lymph node metastasis (LNM), and the diagnosis of superficial esophageal carcinoma (SEC) remains unclear. Methods: We searched Embase, PubMed, Web of Science, and Cochrane Library databases for prospective articles to better understand the relationship between LVI, LNM, and SEC diagnosis. Results: We included 23 articles containing data for 4749 patients (range: 54-598) in our meta-analysis. The hazard ratio between LVI and overall survival (OS) was 1.85 with 95% confidence interval (CI) (1.10-3.11, P = 0.02). LNM rate was higher in SEC patients with LVI than SEC patients without LVI (univariate: OR = 4.94, 95% CI: 3.74-6.53, P < 0.0001; multivariate: OR = 5.72, 95%CI: 4.38-7.4, P < 0.0001). No obvious publication was found. Conclusions: The results indicate that LVI plays a dominant role in the prognosis of LNM in SEC and in the prognostic prediction for SEC. Keywords: Lymphovascular invasion; lymph node metastasis; prognosis; superficial esophageal carcinoma

scholarly journals Relationship of lymphovascular invasion with lymph node metastasis and prognosis in superficial esophageal carcinoma: Systematic review and meta-analysis

2020 ◽  
Author(s):  
Jinxin Yang ◽  
Zhouyi Lu ◽  
Lintao Li ◽  
Yong Li ◽  
Yulong Tan ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Carcinoma ◽  
Lymphovascular Invasion ◽  
Dominant Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Superficial Esophageal Carcinoma ◽  
Prognostic Prediction

Abstract Background: The development of tumor cells inside the lymphatics or blood vessels is known as lymphovascular invasion (LVI). The correlation between LVI, lymph node metastasis (LNM), and the diagnosis of superficial esophageal carcinoma (SEC) remains unclear. Methods: We searched Embase, PubMed, Web of Science, and Cochrane Library databases for prospective articles to better understand the relationship between LVI, LNM, and SEC diagnosis. Results: We included 28 articles containing data for 5041 patients (range: 29-498) in our meta-analysis. The hazard ratio between LVI and overall survival (OS) was 1.62 with 95% confidence interval (CI) (1.17-2.26; p = 0.004) and the odds ratio between LVI and LNM was 5.7 with 95% CI (4.43-7.33; p < 0.0001). LVI in patients diagnosed with SEC results in a poor OS rate and a higher rate of LNM. Conclusions: The results indicate that LVI plays a dominant role in the prognosis of LNM in SEC and in the prognostic prediction for SEC.Keywords: Lymphovascular invasion; lymph node metastasis; prognosis; superficial esophageal carcinoma

scholarly journals Relationship of lymphovascular invasion with lymph node metastasis and prognosis in superficial esophageal carcinoma: Systematic review and meta-analysis

2020 ◽  
Author(s):  
Jinxin Yang ◽  
Zhouyi Lu ◽  
Lintao Li ◽  
Yong Li ◽  
Yulong Tan ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Carcinoma ◽  
Lymphovascular Invasion ◽  
Dominant Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Superficial Esophageal Carcinoma ◽  
Prognostic Prediction

Abstract Background: The development of tumor cells inside the lymphatics or blood vessels is known as lymphovascular invasion (LVI). The correlation between LVI, lymph node metastasis (LNM), and the diagnosis of superficial esophageal carcinoma (SEC) remains unclear. Methods: We searched Embase, PubMed, Web of Science, and Cochrane Library databases for prospective articles to better understand the relationship between LVI, LNM, and SEC diagnosis. Results: We included 23 articles containing data for 4749 patients (range: 54-598) in our meta-analysis. The hazard ratio between LVI and overall survival (OS) was 1.85 with 95% confidence interval (CI) (1.10-3.11, P = 0.02). LNM rate was higher in SEC patients with LVI than SEC patients without LVI (univariate: OR = 4.94, 95% CI: 3.74-6.53, P < 0.0001; multivariate: OR = 5.72, 95%CI: 4.38-7.4, P < 0.0001). No obvious publication was found. Conclusions: The results indicate that LVI plays a dominant role in the prognosis of LNM in SEC and in the prognostic prediction for SEC.

scholarly journals Relationship of lymphovascular invasion with lymph node metastasis and prognosis in superficial esophageal carcinoma: Systematic review and meta-analysis

2020 ◽  
Author(s):  
Jinxin Yang ◽  
Zhouyi Lu ◽  
Lintao Li ◽  
Yong Li ◽  
Yulong Tan ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Carcinoma ◽  
Lymphovascular Invasion ◽  
Dominant Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Superficial Esophageal Carcinoma ◽  
Prognostic Prediction

Abstract Background: The development of tumor cells inside the lymphatics or blood vessels is known as lymphovascular invasion (LVI). The correlation between LVI, lymph node metastasis (LNM), and the diagnosis of superficial esophageal carcinoma (SEC) remains unclear. Methods: We searched Embase, PubMed, Web of Science, and Cochrane Library databases for prospective articles to better understand the relationship between LVI, LNM, and SEC diagnosis. Results: We included 23 articles containing data for 4749 patients (range: 54-598) in our meta-analysis. The hazard ratio between LVI and overall survival (OS) was 1.85 with 95% confidence interval (CI) (1.10-3.11, P = 0.02). LNM rate was higher in SEC patients with LVI than SEC patients without LVI (univariate: OR = 4.94, 95% CI: 3.74-6.53, P < 0.0001; multivariate: OR = 5.72, 95%CI: 4.38-7.4, P < 0.0001). No obvious publication was found. Conclusions: The results indicate that LVI plays a dominant role in the prognosis of LNM in SEC and in the prognostic prediction for SEC. Keywords: Lymphovascular invasion; lymph node metastasis; prognosis; superficial esophageal carcinoma

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