scholarly journals HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis

Cancers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 778 ◽  
Author(s):  
Halil Ibrahim Toy ◽  
Didem Okmen ◽  
Panagiota I. Kontou ◽  
Alexandros G. Georgakilas ◽  
Athanasia Pavlopoulou

Several studies suggest that upregulated expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is a negative predictive biomarker for numerous cancers. Herein, we performed a meta-analysis to further investigate the prognostic value of HOTAIR expression in diverse human cancers. To this end, a systematic literature review was conducted in order to select scientific studies relevant to the association between HOTAIR expression and clinical outcomes, including overall survival (OS), recurrence-free survival (RFS)/disease-free survival (DFS), and progression-free survival (PFS)/metastasis-free survival (MFS) of cancer patients. Collectively, 53 eligible studies including a total of 4873 patients were enrolled in the current meta-analysis. Pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were calculated to assess the relationship between HOTAIR and cancer patients’ survival. Elevated HOTAIR expression was found to be significantly associated with OS, RFS/DFS and PFS/MFS in diverse types of cancers. These findings were also corroborated by the results of bioinformatics analysis on overall survival. Therefore, based on our findings, HOTAIR could serve as a potential biomarker for the prediction of cancer patient survival in many different types of human cancers.

2020 ◽  
Author(s):  
Yanwen Wang ◽  
Yuwen Sun ◽  
Wenying Xu ◽  
Yan Wang

Abstract Purpose: To investigate the prognostic value of pretreatment albumin to alkaline phosphatase ratio (AAPR) in human cancers.Methods: Several electronic databases were searched up to Jan 4, 2020 for relevant studies. The prognostic value of AAPR were assessed by pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs). The endpoint events included the overall survival (OS), disease-free survival (DFS), cancer-specific survival (CSS) and progression-free survival (PFS).Results: A total of 15 articles involving 20 studies with 6062 cancer patients were included. Our results proved that low pretreatment AAPR was related with poor OS (HR=1.83, 95% CI: 1.66-2.02; P<0.001), DFS (HR=1.97, 95% CI: 1.49-2.61; P<0.001), CSS (HR=1.88, 95% CI: 1.37-2.56; P<0.001) and PFS (HR=1.74, 95% CI: 1.24-2.43; P=0.001). In addition, the significant correlation between pretreatment AAPR and OS was not affected by the treatment strategy and tumor pathological type.Conclusion: Low pretreatment AAPR is related to poor prognosis in human cancers, and AAPR could be served as a promising prognostic indicator in cancer patients.


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Yuanyuan Xu ◽  
Yichao Qiu ◽  
Shuang Yuan ◽  
Hongjing Wang

Abstract Background To estimate the prognostic relevance of human papillomavirus (HPV) 16 and HPV 18 in patients with cervical cancer. Method We searched PubMed, EMBASE, American Society of Clinical Oncology (ASCO) and the European Society of Medical Oncology (ESMO), CNKI, and Wanfang databases to search primary articles illustrating the survival outcomes in cervical cancer patients with or without HPV 16/18 infection. A meta-analysis was conducted to generate a combined hazard ratio (HR) with 95% confidence intervals (CI) for progression-free survival (PFS), disease free survival (DFS) and overall survival (OS). Results A total of 13 studies were included. Our meta-analysis revealed that HPV 16 positive did not have any impact on OS (HR, 0.76; 95% CI = 0.37–1.54; P = 0.44). Cervical cancer patiensts infected with HPV 18 had worse OS (HR, 1.66; 95% CI = 1.28–2.17; P = 0.0001), DFS (HR, 2.10; 95% CI = 1.73–2.54; P < 0.0001) and worse PFS (HR, 2.97; 95% CI = 1.69–5.23; P = 0.00012) compared with those not infected with HPV 18. cervical cancer patiensts infected with HPV 18 had worse PFS compared with those infected with HPV 16 ((HR, 1.34; 95% CI = 1.06–1.70; P = 0.01). Conclusion Cervical cancer patients infected with HPV 18 had worse survival compared with cervical cancer patients with HPV 16 infection.


2018 ◽  
Vol 33 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Yuanyuan Hu ◽  
Jie Shen ◽  
RuiKe Liu ◽  
ZhiMei Feng ◽  
ChangNing Zhang ◽  
...  

Background: The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC. Methods: We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival. Results: Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC. Conclusion: Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients.


2020 ◽  
Author(s):  
Zhao Yang Wang ◽  
Yuanzhu Jiang ◽  
Wen Xiao ◽  
Xianbiao Xue ◽  
Xiangwei Zhang ◽  
...  

Abstract Background: In clinical work, it has been increasingly found that the prognosis is still very different even for esophageal cancer (EC) patients with the same TNM stage. Tumor length has been analysed as a possible independent prognostic factor in many studies, but no unanimous conclusion has been reached. Therefore, this review used a meta-analysis to evaluate the association between tumor length and prognosis in EC patients.Methods: A systematic search for relevant articles was performed in PubMed, Web of Science, and Embase. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used as effective measures to estimate the correlation between tumor length and prognosis, including overall survival, disease-free survival, progression-free survival, disease-specific survival, and cancer-specific survival. STATA 15.0 software was used to perform the meta-analysis and the data synthesis.Results: Finally, 41 articles with 28,973 patients were included in our study. The comprehensive statistical results showed that long tumors are an independent prognostic parameter associated with poor overall survival (OS) (HR=1.30; 95% CI: 1.21-1.40, p<.001) and disease-free survival (DFS) (HR=1.38; 95% CI: 1.18-1.61, p<.001) in EC patients. Subgroup analyses also suggested a significant correlation between long tumors and poor OS. Sensitivity analysis and publication bias evaluation confirmed the reliability and stability of the results. Similar results were obtained in the analyses of progression-free survival (PFS), disease-specific survival (DSS), and cancer-specific survival (CSS).Conclusion: The results of this meta-analysis showed that long tumors were related to poor OS, DFS, PFS, DSS and CSS in EC patients. Tumor length might be an important predictor of prognosis in EC patients, and it can be used as an independent staging index. Further well-designed and large-scale prospective clinical studies are needed to confirm these findings.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Chun-Kai Liao ◽  
Yen-Lin Yu ◽  
Yueh-Chen Lin ◽  
Yu-Jen Hsu ◽  
Yih-Jong Chern ◽  
...  

Abstract Backgrounds The inflammatory biomarker “C-reactive protein to albumin ratio (CAR)” has been reported to significantly correlate to a variety of human cancers. However, there are conflicting results regarding the prognostic value of CAR in colorectal cancer. Previous studies mainly assessed patients in Eastern countries, so their findings may not be applicable to the Western population. Therefore, this updated meta-analysis aimed to investigate the prognostic value of pre-treatment CAR and outcomes of patients with colorectal cancer. Methods We conducted a systematic search for eligible literature until October 31, 2020, using PubMed and Embase databases. Studies assessing pre-treatment CAR and outcomes of colorectal cancer were included. Outcome measures included overall survival, disease-free survival, progression-free survival, and clinicopathological features. The pooled hazard ratios (HR) with 95% confidence intervals (CI) were used as effective values. Results A total of 15 studies involving 6329 patients were included in this study. The pooled results indicated that a high pre-treatment CAR was associated with poor overall survival (HR 2.028, 95% CI 1.808−2.275, p < 0.001) and poor disease-free survival/progression-free survival (HR 1.768, 95% CI 1.321–2.365, p < 0.001). Subgroup analysis revealed a constant prognostic value of the pre-treatment CAR despite different study regions, sample size, cancer stage, treatment methods, or the cut-off value used. We also noted a correlation between high pre-treatment CAR and old age, male sex, colon cancer, advanced stage (III/IV), large tumor size, poor differentiation, elevated carcinoembryonic antigen levels, neutrophil-to-lymphocyte ratio, and the modified Glasgow prognostic score. Conclusions High pre-treatment CAR was associated with poor overall survival, disease-free survival, and progression-free survival in colorectal cancer. It can serve as a prognostic marker for colorectal cancer in clinical practice.


2021 ◽  
Vol 11 ◽  
Author(s):  
Guang Zhu ◽  
Ying Liu ◽  
Lei Zhao ◽  
Zhenhua Lin ◽  
Yingshi Piao

Sine Oculis Homeobox Homolog 1 (SIX1) is reported to promote cancer initiation and progression in many preclinical models and is demonstrated in human cancer tissues. However, the correlation between SIX1 and cancer patients’ prognosis has not yet been systematically evaluated. Therefore, we performed a systematic review and meta-analysis in various human cancer types and extracted some data from TCGA datasets for further verification and perfection. We constructed 27 studies and estimated the association between SIX1 expression in various cancer patients’ overall survival and verified with TCGA datasets. Twenty-seven studies with 4899 patients are include in the analysis of overall, and disease-free survival, most of them were retrospective. The pooled hazard ratios (HRs) for overall and disease-free survival in high SIX1 expression patients were 1.54 (95% CI: 1.32-1.80, P&lt;0.00001) and 1.83 (95% CI: 1.31-2.55, P=0.0004) respectively. On subgroup analysis classified in cancer type, high SIX1 expression was associated with poor overall survival in patients with hepatocellular carcinoma (HR 1.50; 95% CI: 1.17-1.93, P =0.001), breast cancer (HR 1.31; 95% CI: 1.10-1.55, P =0.002) and esophageal squamous cell carcinoma (HR 1.89; 95% CI: 1.42-2.52, P&lt;0.0001). Next, we utilized TCGA online datasets, and the consistent results were verified in various cancer types. SIX1 expression indicated its potential to serve as a cancer biomarker and deliver prognostic information in various cancer patients. More works still need to improve the understandings of SIX1 expression and prognosis in different cancer types.


2021 ◽  
Vol 10 ◽  
Author(s):  
Pei Huang ◽  
Wei Hu ◽  
Ying Zhu ◽  
Yushen Wu ◽  
Huapeng Lin

BackgroundStudies on the prognostic value of the soluble programmed death ligand 1 (sPD-L1) in cancer patients have not yielded consistent results.ObjectiveThis meta-analysis was performed to assess the association between sPD-L1 and the prognosis of cancer patients.MethodsPublished articles in Pubmed, EMBASE, and Cochrane clinical trial databases were searched from the inception to September 2020. Overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS), and disease-free survival (DFS) data were evaluated using a hazard ratio (HR) at 95% confidence interval (95% CI).ResultsA total 31 studies involving 17 tumors and 3,780 patients were included. The overexpression of sPD-L1 was associated with shorter OS (HR 1.85, 95% CI 1.59–2.15, I2 = 33%). High sPD-L1 had worse PFS (HR 2.40, 95% CI 1.55–3.72, I2 = 83%), and worse DFS (HR 2.92, 95% CI 2.02–4.29, I2 = 40%), without significant statistical difference in RFS (HR 2.08, 95% CI 0.99–4.40, I2 = 0%).ConclusionsHigh sPD-L1 levels were associated with worse survival prognosis in cancer patients. The sPD-L1 may be a potential prognostic, non-invasive, and dynamic monitoring biomarker for cancers in the future.


2018 ◽  
Vol 33 (4) ◽  
pp. 467-474 ◽  
Author(s):  
Younghoon Kim ◽  
Xianyu Wen ◽  
Nam Yun Cho ◽  
Gyeong Hoon Kang

Background: The prognostic value of immune cells expressing programmed cell death 1 (PD-1) and PD-1 ligand 1 (PD-L1) in cancer are controversial, and the potential differential impact of using tissue microarrays and whole tissue sections to assess the positivity of immune cells has not been addressed. Methods: The current study included 30 eligible studies with 7251 patients that evaluated the relationship between tumor-infiltrating lymphocytes expressing PD-1/PD-L1 and overall survival and disease-free survival, or progression-free survival. Subgroup analysis was based on the tissue type of cancer and the type of tissue sampling (tissue microarray or whole tissue section). Results: In the meta-analysis, PD-1-positive and PD-L1-positive tumor-infiltrating lymphocytes had a positive effect on disease-free survival or progression-free survival (hazard ratio [HR] 0.732; 95% confidence interval [CI] 0.565, 0.947; and HR 0.727; 95% CI 0.584, 0.905, respectively). PD-L1-positive tumor-infiltrating lymphocytes had a positive impact on overall survival in studies using tissue microarray (HR 0.586; 95% CI 0.476, 0.721), but had a poor impact when only whole tissue sections were considered (HR 1.558; 95% CI 1.232, 1.969). Lung cancer was associated with good overall survival and disease-free survival (HR 0.639; 95% CI 0.491, 0.831; and HR 0.693; 95% CI 0.538, 0.891, respectively) for PD-1-positive tumor-infiltrating lymphocytes, and colorectal cancer showed favorable disease-free survival (HR 0.471; 95% CI 0.308, 0.722) for PD-L1-positive tumor-infiltrating lymphocytes. Conclusion: Immune cells expressing PD-1 and PD-L1 within tumors are associated with the prognosis. However, the correlation may vary among different tumor types and by the type of tissue sampling used for the assessment.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elahe Seyed Hosseini ◽  
Ali Nikkhah ◽  
Amir Sotudeh ◽  
Marziyeh Alizadeh Zarei ◽  
Fatemeh Izadpanah ◽  
...  

Abstract Purpose An increasing number of studies have reported a significant association between long non-coding RNAs (lncRNAs) dysregulation and pancreatic cancers. In the present study, we aimed to gather articles to evaluate the prognostic value of long non coding RNA in pancreatic cancer. Experimental design We systematically searched all eligible articles from databases of PubMed, Web of Science, and Scopus to meta-analysis of published articles and screen association of multiple lncRNAs expression with clinicopathology and/or survival of pancreatic cancer. The pooled hazard ratios (HRs) and their 95% confidence intervals (95% CIs) were used to analysis of overall survival, disease-free survival and progression-free survival were measured with a fixed or random effects model. Results A total of 39 articles were included in the present meta-analysis. Our results showed that dysregulation of lncRNAs were linked to overall survival (39 studies, 4736 patients HR = 0.41, 95% CI 0.25 ± 0.58, random-effects in pancreatic cancer. Moreover, altered lncRNAs were also contributed to progression-free survival (8 studies, 1180 patients HR: 1.88, 95% CI (1.35–2.62) and disease-free survival (2 studies, 285 patients, HR: 6.07, 95% CI 1.28–28.78). In addition, our findings revealed the association between dysregulated RNAs and clinicopathological features in this type of cancer. Conclusions In conclusion, dysregulated lncRNAs could be served as promising biomarkers for diagnosis and prognosis of pancreatic cancer.


2021 ◽  
Author(s):  
Zizhen Zhou ◽  
Xiancai Li ◽  
Dewu Liu

AbstractObjectiveThe aim of our study was to systematically evaluate the prognostic effects of various circrnas and to explore the prognostic value of circRNAs in breast cancer patients.MethodsA systematical search was conducted on PubMed, Scopus, EMBASE, and the Cochrane Library databases. Eligible studies reporting on the association among circRNAs and prognostic values of breast cancer patients were included. Fixed-effects and random effects models were used to calculate the pooled hazard ratio values of overall survival and disease free survival. In addition, funnel plots were used to qualitatively analyze the publication bias.Results28 studies were included in our meta-analysis. The pooled hazard ratio values of overall survival and disease free survival related to different circRNAs expression in breast cancer patients were 1.68 (1.44-1.97), 2.63 (1.95-3.53).We have identified a total of 28 circRNAs including 19 significantly up-regulated expression circRNAs and 9 significantly down-regulated expression circRNAs in BC(breast cancer) patients. Moreover, all of them revealed mechanisms and have the function of promoting or inhibiting the proliferation, metastasis or invasion of breast cancer cells by acting on the corresponding target.ConclusionOverall, specific circRNAs are significantly associated with the prognosis of BC patients and potentially eligible for the prediction of patients survival. It also provides a potential value for clinical decision-making development and may serve as a promising circRNAs-based target therapy waiting for further elucidation.


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