scholarly journals LncRNA HCP5 as a potential therapeutic target and prognostic biomarker for various cancers: a meta‑analysis and bioinformatics analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shao-pu Hu ◽  
Meng-xue Ge ◽  
Lei Gao ◽  
Min Jiang ◽  
Kai-wen Hu
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Therapeutic Target ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Advanced Tumor Stage ◽  
Tumor Type ◽  
Node Metastasis ◽  
Advanced Tumor

Abstract Background Accumulating studies indicated that dysregulated long non-coding RNA human histocompatibility leukocyte antigen (HLA) Complex P5 (HCP5) may functions as an potential prognostic predictor in multiple cancers. This meta-analysis was performed to systematically collect studies and conduct an evidence-based evaluation of the prognostic role of HCP5 in malignancies. Methods Four databases (PubMed, Web of Science, Embase and Cochrane library) were comprehensively retrieved from their initiation date to November 9, 2021. Hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) were used to assess the associations between the expression level of HCP5 and prognosis or clinical characteristics. Moreover, results were validated by Gene Expression Profiling Interactive Analysis 2 (GEPIA2) and the National Genomics Data Center (NGDC). Subsequently, the molecular mechanism of HCP5 was predicted based on MEM and StarBase databases. The study protocol was registered at PROSPERO (ID: CRD42021274208). Results 9 studies, containing 641 patients, were included in this meta-analysis. Our results revealed that HCP5 overexpression was associated with poor overall survival (OS), tumor type, histological differentiation, and lymph node metastasis in most cancers, but was not associated with age, gender and tumor size; down-regulation of HCP5 was associated with worse OS, advanced tumor stage, positive distal metastasis and lymph node metastasis in skin cutaneous melanoma (SKCM). HCP5 was significantly up-regulated in four cancers and down-regulated in SKCM, which was validated by the GEPIA2 cohort. HCP5 expression in various types of cancer was also verified in NGDC. Further functional prediction revealed that HCP5 may participate in some cancer-related pathways. Conclusion There is a significantly association between dysregulation of HCP5 and both prognosis and clinicopathological features in various cancers. HCP5 may be functions as a novel potential prognostic biomarker and therapeutic target in multiple human 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 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 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 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 &lt; 0.05), progression of TNM stage (OR = 0.34; 95% CI: 0.20-0.57; p &lt; 0.05) and tumor infiltration (OR = 0.33; 95% CI: 0.18-0.60; p &lt; 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 &lt; 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 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

scholarly journals The Value of lncRNA HULC as a Prognostic Factor for Survival of Cancer Outcome: A Meta-Analysis

2017 ◽  
Vol 41 (4) ◽  
pp. 1424-1434 ◽  
Author(s):  
Xian Chen ◽  
Limin Lun ◽  
Huabin Hou ◽  
Runhua Tian ◽  
Haiping Zhang ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Significant Heterogeneity ◽  
Cancer Type ◽  
Poor Overall Survival ◽  
Multiple Tumors ◽  
Node Metastasis

Aims: Growing evidence from recent studies has shown that lncRNA HULC plays a role in the development of multiple carcinomas. This meta-analysis aimed to analyze available data to identify the prognostic value of HULC in multiple tumors. Methods: A systematic search was performed by using PubMed (medline), Embase, ISI Web of Knowledge, Springer, the Cochrane Library, Scopus, BioMed Central, ScienceDirect, Wanfang, Weipu, and China National Knowledge Internet (CNKI) computerized databases from inception to Nov 30, 2016. The quality of the publications was assessed according to the critical review checklist of the Dutch Cochrane Centre proposed by MOOSE and PRISMA. Pooled hazard ratios (HR) with 95% confidence interval (95% CI) were calculated to summarize the effect. Results: A total of ten studies with 1077 cancer patients were pooled in the present meta-analysis to evaluate the prognostic value of HULC in multiple tumors. High expression levels of HULC were demonstrated to be associated with poor overall survival (OS) (HR=2.44, 95%CI: 1.96-3.03, P=0.000). Subgroup analysis showed that cancer type (digestive or non-digestive disease), residence region (China), sample size (more or less than 100) and follow-up months (more or less than 60) did not alter the predictive value of HULC on OS in various cancers. Additionally, increased HULC expression was found to be moderately associated with tumor stage and progression (III/IV vs. I/II: HR=1.59, 95% CI: 1.31-1.92, P<0.00001). Furthermore, elevated HULC expression significantly predicted distant metastasis (HR=3.90, 95% CI: 1.89-8.02, P=0.0002) and lymph node metastasis (HR=2.04, 95% CI: 1.03-4.05, P=0.04) respectively. No significant heterogeneity was observed among studies except lymph node metastasis. Conclusion: The results indicate that HULC expression level is an independent prognostic biomarker for unfavorable OS and metastasis in general tumors.

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