scholarly journals Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis

2018 ◽  
Vol 33 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Yuanyuan Hu ◽  
Jie Shen ◽  
RuiKe Liu ◽  
ZhiMei Feng ◽  
ChangNing Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Prognostic Nutritional Index ◽  
Progression Free Survival ◽  
Free Survival ◽  
Nutritional Index ◽  
Nsclc Patients ◽  
Disease Free

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.

scholarly journals Prognostic Impact of Tumor Length in Esophageal Cancer: A Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Zhao Yang Wang ◽  
Yuanzhu Jiang ◽  
Wen Xiao ◽  
Xianbiao Xue ◽  
Xiangwei Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Disease Specific Survival ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Tumor Length ◽  
Disease Free ◽  
Disease Specific

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.

scholarly journals Prognostic value of the C-reactive protein to albumin ratio in colorectal cancer: an updated systematic review and meta-analysis

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Chun-Kai Liao ◽  
Yen-Lin Yu ◽  
Yueh-Chen Lin ◽  
Yu-Jen Hsu ◽  
Yih-Jong Chern ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Poor Overall Survival ◽  
Free Survival ◽  
Pre Treatment ◽  
Disease Free

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.

scholarly journals Intratumoral immune cells expressing PD-1/PD-L1 and their prognostic implications in cancer: a meta-analysis

2018 ◽  
Vol 33 (4) ◽  
pp. 467-474 ◽  
Author(s):  
Younghoon Kim ◽  
Xianyu Wen ◽  
Nam Yun Cho ◽  
Gyeong Hoon Kang
Keyword(s):  
Overall Survival ◽  
Immune Cells ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Tumor Infiltrating Lymphocytes ◽  
Free Survival ◽  
Tissue Sections ◽  
Infiltrating Lymphocytes ◽  
Disease Free

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.

scholarly journals The impact of LncRNA dysregulation on clinicopathology and survival of pancreatic cancer: a systematic review and meta-analysis (PRISMA compliant)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elahe Seyed Hosseini ◽  
Ali Nikkhah ◽  
Amir Sotudeh ◽  
Marziyeh Alizadeh Zarei ◽  
Fatemeh Izadpanah ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Random Effects ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Free Survival ◽  
Diagnosis And Prognosis ◽  
The Impact ◽  
Disease Free

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.

scholarly journals The prognostic significance of microRNA-221 in hepatocellular carcinoma: An updated meta-analysis

2021 ◽  
Vol 36 (2) ◽  
pp. 172460082110326
Author(s):  
Wenfeng Liu ◽  
Keshu Hu ◽  
Feng Zhang ◽  
Shenxin Lu ◽  
Rongxin Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Hazard Ratios ◽  
Disease Free

Background Recently, microRNA-221 has been found to be abnormally expressed in hepatocellular carcinoma; however, its clinical value has not been summarised. This meta-analysis aimed to assess the prognostic significance of miR-221 in hepatocellular carcinoma. Material and Methods PubMed, Science Direct, Web of Science, Scopus, Ovid MEDLINE, EMbase, Google Scholar, the Cochrane Library, CNKI, CBM, VIP and Wanfang databases were searched for eligible articles. The endpoints included overall survival, progression-free survival, recurrence-free survival, metastasis-free survival, disease-free survival. Hazard ratios with 95% confidence intervals were used to explore the relationship between miR-221 expression and clinical survival results of liver cancer patients. Subgroup analysis and sensitivity analysis were performed. Begg’s test and Egger’s test were conducted to evaluate publication bias. Results A total of nine studies including 607 patients were recruited for this meta-analysis. The pooled hazard ratios displayed that high miR-221 expression was remarkably associated with poorer overall survival (hazard ratio = 1.91, 95% confidence interval: 1.53–2.38, p ＜ 0.01) and unfavourable progression-free survival/recurrence-free survival/metastasis-free survival/disease-free survival (hazard ratio = 2.02, 95% confidence interval: 1.58–2.57, p ＜ 0.01). The results of Begg’s test and Egger’s test did not exhibit obvious publication bias. Conclusions High expression of miR-221 can predict poor outcome of hepatocellular carcinoma. miR-221 can be used as a promising prognostic biomarker of hepatocellular carcinoma.

scholarly journals Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhao Yang Wang ◽  
Yuan Zhu Jiang ◽  
Wen Xiao ◽  
Xian Biao Xue ◽  
Xiang Wei Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Disease Specific Survival ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Tumor Length ◽  
Disease Free ◽  
Disease Specific

Abstract Background In clinical studies, it has been observed that esophageal cancer (EC) patient prognosis can be very different even for those patients with tumors of 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.

scholarly journals Microsatellite Instability as a Maker of Prognosis: a Systematic Review and Meta-analysis of Endometrioid Endometrial Cancer Survival Data

2022 ◽  
Author(s):  
Jing-ping Xiao ◽  
Ji-sheng Wang ◽  
Yuan-yu Zhao ◽  
Jiang Du ◽  
Yunzi Wang
Keyword(s):  
Overall Survival ◽  
Endometrial Cancer ◽  
Microsatellite Instability ◽  
Early Stage ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Free Survival ◽  
Endometrioid Endometrial Cancer ◽  
Disease Free

Abstract Introduction To investigate whether microsatellite instability (MSI) is an important prognostic biomarker for endometrioid endometrial cancer (EEC).Methods The PubMed, EMBASE and the Cochrane Cooperative Library databases were searched from inception to July 2021. Overall survival, disease-free survival, progression-free survival, EEC-specific survival, recurrence-free survival and the recurrence rate were pooled to analyze the correlation between MSI and EEC. In addition, Egger’s regression analysis and Begg’s test were used to detect publication bias.Results 17 studies met the inclusion criteria and were included in our meta-analysis with a sample size of 4723, and the included patients with endometrioid cancer (EC) all were EEC. The pooled hazard ratios (HR) in patients with EEC shown that MSI was significantly associated with shorter overall survival [HR=1.37, 95% confidence interval (CI) (1.00-1.86), p=0.048, I2=60.6%], shorter disease-free survival [HR=1.99, 95% CI (1.31-3.01), p=0.000, I2=67.2%], shorter EEC-specific survival [HR=2.07, 95% CI (1.35-3.18), p=0.001, I2=31.6%] and a higher recurrence rate [Odds ratios (OR)=2.72, 95% CI (1.56-4.76), p=0.000, I2=0.0%]. In the early-stage EEC subgroup, MSI was significantly associated with shorter overall survival [HR=1.47, 95% CI (1.11-1.95), p=0.07], shorter disease-free survival [HR=4.17, 95% CI (2.37-7.41), p=0.000], and shorter progression-free survival [HR=2.41, 95% CI (1.05-5.54), p=0.039]. No significant heterogeneity was observed in overall survival (I2=20.9%), disease-free survival (I2=0.0%), or progression-free survival (I2=0.0%) in patients with early-stage EEC. Meanwhile, publication bias was not observed, and the p-value for Egger’s test of overall survival, disease-free survival, and EEC-specific survival were p=0.131, p=0.068 and p=0.987, respectively.Conclusion MSI is likely an important biomarker for poor prognosis in patients with EEC, and this correlation is even more certain in patients with early-stage EEC.

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
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Predictive Biomarker ◽  
Free Survival ◽  
Human Cancers ◽  
Potential Biomarker

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.

scholarly journals Prognostic Role of High Stathmin 1 Expression in Patients with Solid Tumors: Evidence from a Meta-Analysis

2018 ◽  
Vol 50 (1) ◽  
pp. 66-78 ◽  
Author(s):  
Qingyan Mao ◽  
Zhen Chen ◽  
Kun Wang ◽  
Renfang Xu ◽  
Hao Lu ◽  
...  
Keyword(s):  
English Literature ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Free Survival ◽  
Online Databases ◽  
Stathmin 1 ◽  
Tumor Types ◽  
Disease Free

Background/Aims: Several recent studies have demonstrated that Stathmin 1expression may be closely associated with prognosis in patients with various types of cancers. In the present study, we conducted a meta-analysis of all available studies in the English literature to assess the prognostic value of Stathmin 1expression in patients with solid cancers. Methods: The online databases PubMed, Embase, and Web of Science were searched for literature regarding Stathmin 1 and its association with patient outcomes associated with solid cancers. Results: A total of 23 articles including 26 studies that contained 5 335 patients were retrieved and analyzed. Our results indicated that high Stathmin 1 expression yielded a worse overall survival (OS) (hazard ratio [HR] = 2.17, 95% confidence interval [CI]: 1.81–2.60), disease-free survival (DFS) (HR = 2.46, 95% CI: 2.00–3.02), disease-specific survival (DSS) (HR = 1.98, 95% CI: 1.58– 2.47) and progression-free survival (PFS)/recurrence-free survival (RFS) (HR = 2.09, 95% CI: 1.51–2.89). Furthermore, the association of high Stathmin 1 expression with poor survival was significant even for sub-group analyses of different tumor types, ethnicities, methods used to calculate HRs, detected methods, and analysis types. Conclusion: In summary, this meta-analysis determined that high Stathmin 1 expression is associated with poor prognosis in patients with solid cancers and expression of this protein could be a clinically useful prognostic biomarker.

Predictive Prognostic Value of Tissue-Based MicroRNA Expression in Oral Squamous Cell Carcinoma: A Systematic Review and Meta-analysis

2018 ◽  
Vol 97 (7) ◽  
pp. 759-766 ◽  
Author(s):  
G. Troiano ◽  
F. Mastrangelo ◽  
V.C.A. Caponio ◽  
L. Laino ◽  
N. Cirillo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Mirna Expression ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Free Survival ◽  
Disease Free

Oral squamous cell carcinoma (OSCC) is a common type of cancer characterized by a low survival rate, mostly due to local recurrence and metastasis. In view of the importance of predicting tumor behavior in the choice of treatment strategies for OSCC, several studies have attempted to investigate the prognostic value of tissue biomarkers, including microRNA (miRNA). The purpose of this study was to perform a systematic review and meta-analysis to evaluate the relationship between miRNA expression and survival of OSCC patients. Studies were identified by searching on MEDLINE/PubMed, SCOPUS, Web of Science, and Google Scholar. Quality assessment of studies was performed with the Newcastle-Ottawa Scale. Data were collected from cohort studies comparing disease-free survival and overall survival in patients with high miRNA expression compared to those with low expression. A total of 15 studies featuring 1,200 OSCC samples, predominantly from Asia, met the inclusion criteria and were included in the meta-analysis. Poor prognosis correlated with upregulation of 9 miRNAs (miR-21, miR-455-5p, miiR-155-5p, miR-372, miR-373, miR-29b, miR-1246, miR-196a, and miR-181) and downregulation of 7 miRNAs (miR-204, miR-101, miR-32, miR-20a, miR-16, miR-17, and miR-125b). The pooled hazard ratio values (95% confidence interval) related to different miRNA expression for overall survival and disease-free survival were 2.65 (2.07–3.39) and 1.95 (1.28–2.98), respectively. The results of this meta-analysis revealed that the expression levels of specific miRNAs can robustly predict prognosis of OSCC patients.

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