Prognostic Role of Pretreatment Plasma D-Dimer in Patients with Solid Tumors: a Systematic Review and Meta-Analysis

Background/Aims: Elevated pretreatment plasma D-dimer level has been reported as an unfavorable prognostic indicator in several malignancies. The aim of this meta-analysis was to evaluate the prognostic value of elevated D-dimer level in solid tumors. Methods: A comprehensive search of electronic databases up to June 10, 2017 was carried out by two independent reviewers. We included studies exploring the association between pretreatment plasma D-dimer level and patients’ survival outcomes in solid tumors. Overall survival (OS) was regarded as primary outcome and progression-free survival (PFS), disease-free survival (DFS) as well as cancer-specific survival (CSS) were chosen as secondary outcomes. Hazard ratio and 95% confidence interval (CI) were extracted directly or indirectly from included studies. Results: 49 studies with 13001 patients were included in our meta-analysis. Elevated D-dimer was markedly associated with poor OS (pooled HR = 1.90, 95% CI = 1.63 - 2.20, P < 0.001). The effect was observed in all different tumor sites, disease stages, cut-off values and ethnicities. Meanwhile, patients with a high plasma D-dimer had a shorter PFS (HR = 1.46, 95% CI = 1.22–1.76; P < 0.001), DFS (HR = 2.02, 95% CI = 1.56–2.62) and CSS (HR = 2.04, 95% CI= 1.58 – 2.64). Conclusions: Analysis of the pretreatment plasma D-dimer might provide useful information to predict prognosis in patients with solid tumors.

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The prognostic value of hypoxia-inducible factor-1α in advanced cancer survivors: a meta-analysis with trial sequential analysis

Therapeutic Advances in Medical Oncology ◽

10.1177/1758835919875851 ◽

2019 ◽

Vol 11 ◽

pp. 175883591987585 ◽

Cited By ~ 2

Author(s):

Susu Han ◽

Tao Huang ◽

Fenggang Hou ◽

Liting Yao ◽

Xiyu Wang ◽

...

Keyword(s):

Advanced Cancer ◽

Sequential Analysis ◽

Meta Analysis ◽

Disease Free Survival ◽

Progression Free Survival ◽

Trial Sequential Analysis ◽

Advanced Cancer Patients ◽

Cancer Specific Survival ◽

Study Region ◽

Free Survival

Background: Expression of hypoxia-inducible factors (HIFs) has been observed, but their prognostic role in advanced cancers remains uncertain. We conducted a meta-analysis to establish the prognostic effect of HIFs and to better guide treatment planning for advanced cancers. Methods: Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Trial sequential analysis (TSA) was also performed. The clinical outcomes included overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), cancer-specific survival (CSS), relapse/recurrence-free survival (RFS), and metastasis-free survival (MFS) in patients with advanced tumors according to multivariate analysis. Results: A total of 31 studies including 3453 cases who received chemotherapy, radiotherapy, or chemoradiotherapy were identified. Pooled analyses revealed that HIF-1α expression was correlated with worse OS (HR = 1.61, p < 0.001), DFS (HR = 1.61, p < 0.001), PFS (HR = 1.49, p = 0.01), CSS (HR = 1.65, p = 0.056), RFS (HR = 2.10, p = 0.015), or MFS (HR = 2.36, p = 0.002) in advanced cancers. HIF-1α expression was linked to shorter OS in the digestive tract, epithelial ovarian, breast, non-small cell lung, and clear cell renal cell carcinomas. Subgroup analysis by study region showed that HIF-1α expression was correlated with poor OS in Europeans and Asians, while an analysis by histologic subtypes found that HIF-1α expression was not associated with OS in squamous cell carcinoma. No relationship was found between HIF-2α expression and OS, DFS, PFS, or CSS. Conclusions: Targeting HIF-1α may be a useful therapeutic approach to improve survival for advanced cancer patients. Based on TSA, more randomized controlled trials are strongly suggested.

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The Prognostic Roles and Clinical Features of CD44v9 in Human Solid Cancers—A Meta-Analysis

10.21203/rs.3.rs-54020/v1 ◽

2020 ◽

Author(s):

Yuanxiu Deng ◽

Jie Wang ◽

Shenhui Ji ◽

Lu Huang ◽

Meijiang Feng

Keyword(s):

Clinical Features ◽

Meta Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Progression Free Survival ◽

High Expression ◽

Cochrane Library ◽

Cancer Specific Survival ◽

Free Survival ◽

Diagnosis And Prognosis

Abstract Background: CD44 is the primary receptor for hyaluronic acid and serves as a marker for cancer stem cells. CD44v9 is one of CD44’s variants and takes part in cancer’s growth and metastasis. However, the prognostic roles and clinical features of CD44v9 in cancers remain unclear. Therefore, we conducted this meta-analysis to summarize the prognostic significance and clinical features of CD44v9 in human solid cancers.Methods: we systematically searched all of related studies in PubMed, the Web of Science, Embase and Cochrane library up to June 2020. We analyzed the pooled hazard ratios (HRs) and odds ratios (ORs) with corresponding 95% confidence intervals (CIs) to assess the prognostic functions and clinical features of CD44v9 in various human solid cancers.Results: In this meta-analysis, we included 1705 cancer patients among 12 studies. Results indicated that high expression of CD44v9 was significantly related to poorer overall survival (OS) (HR=1.60, 95%CI 1.28-1.99, P<0.0001), recurrence-free survival/progression-free survival/disease-free survival (RFS/PFS/DFS).( HR=1.81, 95%CI 1.16-2.84, P=0.009) and disease-specific survival/cancer-specific survival (DSS/CSS) (HR=2.93, 95%CI 1.69-5.10, P<0.001). At the same time, we also found that high expression of CD44v9 increased the possibility of lymphoid infiltrates (OR=1.59, 95%CI 1.16-2.20, P=0.005), vascular invasion (OR=1.57, 95%CI 1.11-2.22, P=0.010) and higher TNM stage (OR=1.63, 95%CI 1.19-2.23, P=0.002).Conclusion: Our results demonstrate that CD44v9 overexpression is associated with worse OS, RFS/PFS/CFS and DSS/CSS in patients with solid cancers, which might be a biomarker in the diagnosis and prognosis of cancers in the future.

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

10.21203/rs.3.rs-38181/v2 ◽

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.

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Prognostic Significance of Pretreatment Albumin to Alkaline Phosphatase Ratio in Human Cancers: A Meta-Analysis

10.21203/rs.3.rs-34796/v1 ◽

2020 ◽

Author(s):

Yanwen Wang ◽

Yuwen Sun ◽

Wenying Xu ◽

Yan Wang

Keyword(s):

Alkaline Phosphatase ◽

Cancer Patients ◽

Prognostic Value ◽

Meta Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Progression Free Survival ◽

Cancer Specific Survival ◽

Free Survival ◽

Human Cancers

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.

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

BMC Cancer ◽

10.1186/s12885-021-08728-1 ◽

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.

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The Neutrophil-to-Lymphocyte Ratio as a Prognostic Indicator in Head and Neck Cancer: A Systematic Review and Meta-Analysis

10.1101/217034 ◽

2017 ◽

Cited By ~ 2

Author(s):

Tristan Tham ◽

Yonatan Bardash ◽

Saori Wendy Herman ◽

Peter D. Costantino

Keyword(s):

Systematic Review ◽

Meta Analysis ◽

Disease Free Survival ◽

Progression Free Survival ◽

Prognostic Indicator ◽

Neutrophil To Lymphocyte Ratio ◽

Cochrane Library ◽

Free Survival ◽

Lymphocyte Ratio ◽

Risk Patients

AbstractBackgroundThe aim of this systematic review and meta-analysis was to investigate the relationship between the Neutrophil-to-Lymphocyte Ratio (NLR) and prognosis in HNC.MethodsStudies were identified from Pubmed, Embase, Scopus, and the Cochrane Library. A systematic review and meta-analysis were performed to generate the pooled hazard ratios (HR) for overall survival (OS), disease free survival (DFS), and progression free survival (PFS).ResultsOur analysis combined the results of over 6770 patients in 26 cohorts (25 studies). The pooled data demonstrated that an elevated NLR significantly predicted poorer OS, DFS, and PFS. Heterogeneity was found for OS, PFS, and marginally for DFS. Subgroup analysis in OS demonstrated that elevated NLR remained an indicator of poor prognosis.ConclusionsElevated pretreatment NLR is a prognostic marker for HNC. It represents a simple and easily obtained marker that could be used to stratify groups of high-risk patients that might benefit from adjuvant therapy.

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Systemic Inflammation Response Index as a Prognostic Marker in Cancer Patients: A Systematic Review and Meta-Analysis of 38 Cohorts

Dose-Response ◽

10.1177/15593258211064744 ◽

2021 ◽

Vol 19 (4) ◽

pp. 155932582110647

Author(s):

Qian Zhou ◽

Si Su ◽

Wen You ◽

Tao Wang ◽

Tong Ren ◽

...

Keyword(s):

Systemic Inflammation ◽

Prognostic Value ◽

Meta Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Progression Free Survival ◽

Prognostic Indicator ◽

Free Survival ◽

Inflammation Response ◽

Response Index

Background The systemic inflammation response index (SIRI), a novel and cost-effective serum biomarker, is associated with prognosis in patients with cancer. However, the prognostic value of the SIRI in cancer remains unclear. This study aimed to evaluate the potential role of the SIRI as a prognostic indicator in cancer. Methods Reports in which the prognostic value of the SIRI in cancer was evaluated were retrieved from electronic databases. The pooled hazard ratio (HR) and 95% confidence interval (CI) were calculated to evaluate the prognostic significance of the SIRI. The odds ratio (OR) was also calculated to explore the association between the SIRI and clinicopathological features. Results This study included 30 retrospective studies with 38 cohorts and 10 754 cases. The meta-analysis indicated that a high SIRI was associated with short overall survival (OS) (HR = 2.04, 95% CI = 1.82–2.29, P < .001) and disease-free survival (DFS)/recurrence-free survival (RFS)/progression-free survival (PFS) (HR = 2.08, 95% CI = 1.84–2.34, P < .001). Subgroup analysis showed that the prognostic value of the SIRI was significant in all kinds of cancer included. Moreover, the SIRI was significantly correlated with sex, tumor size, T stage, N stage, TNM stage, and lymphovascular invasion. Conclusion The pretreatment SIRI could be a promising universal prognostic indicator in cancer.

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Prognostic and Clinicopathologic Significance of Neutrophil-to-Lymphocyte Ratio in Esophageal Cancer: An Update Meta-Analysis

Technology in Cancer Research & Treatment ◽

10.1177/15330338211070140 ◽

2022 ◽

Vol 21 ◽

pp. 153303382110701

Author(s):

Binfeng Li ◽

Fei Xiong ◽

Shengzhong Yi ◽

Sheng Wang

Keyword(s):

Esophageal Cancer ◽

Poor Prognosis ◽

Meta Analysis ◽

Clinical Stage ◽

Disease Free Survival ◽

Progression Free Survival ◽

Cochrane Library ◽

Clinicopathologic Characteristics ◽

Cancer Specific Survival ◽

Free Survival

Background: Esophageal cancer is one of the most common cancers with significant morbidity and mortality. It is important to predict the prognosis of patients. The purpose of this study was to comprehensively assess the prognostic and clinicopathologic significance of NLR in patients with esophageal cancer. Methods: A systematic literature search was performed using PubMed, Cochrane Library, Embase, Web of Science, MEDLINE, and CNKI. This meta-analysis was conducted in accordance with PRISMA guidelines. Hazard ratio (HR) with 95% confidence interval (CI) was used as the effect estimation to evaluate the prognostic role of NLR. Odds ratio (OR) was used to evaluate the relation between NLR and clinicopathologic characteristics. Results: A total of 8431 patients from 32 studies were included in this meta-analysis. The pooled results showed that elevated NLR might predict poor prognosis: The factors considered included overall survival (OS) (HR, 1.57; 95% CI, 1.40-1.75; P < .001), cancer-specific survival (CSS) (HR, 1.28; 95% CI, 1.09-1.49; P < .001), progression-free survival (PFS) (HR, 1.45; 95% CI, 1.29-1.72; P < .001), and disease-free survival (DFS) (HR,1.58; 95% CI, 1.27-1.97; P < .001). High NLR was also associated with tumor differentiation, tumor length, tumor invasion depth, lymph node metastasis, and clinical stage. No significant association was observed between NLR and metastasis stage (OR, 1.69; 95% CI, 0.98-2.98; P = .058). Conclusions: The results of this meta-analysis suggest that elevated NLR value might predict poor prognosis (OS, CSS, PFS, and DFS), according to abnormal clinicopathologic parameters.

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The Prognostic Significance of Combined Pretreatment Fibrinogen and Neutrophil-Lymphocyte Ratio in Various Cancers: A Systematic Review and Meta-Analysis

Disease Markers ◽

10.1155/2020/4565379 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Rongqiang Liu ◽

Shiyang Zheng ◽

Qing Yuan ◽

Peiwen Zhu ◽

Biao Li ◽

...

Keyword(s):

Prognostic Value ◽

Meta Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Progression Free Survival ◽

Regression Analyses ◽

Free Survival ◽

Neutrophil Lymphocyte Ratio ◽

Lymphocyte Ratio ◽

Meta Regression

Purpose. The prognostic value of a new scoring system, termed F-NLR, that combines pretreatment fibrinogen level with neutrophil-lymphocyte ratio has been evaluated in various cancers. However, the results are controversial. The purpose of this study was to comprehensively analyze the prognostic value of F-NLR score in patients with cancers. Methods. An integrated search of relevant studies was conducted by screening the PubMed and Embase databases. Pooled hazard ratios, with 95% confidence intervals (CIs), for overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS) were calculated to estimate the prognostic significance of F-NLR score in patients with various tumors. A random effects model was used for comprehensive analysis, and subgroup and meta-regression analyses were used to explore sources of heterogeneity. Results. Thirteen articles reporting data from of 4747 patients were included in the study. Pooled analysis revealed that high F-NLR score was significantly associated with poor OS ( HR = 1.77 ; 95% CI, 1.51–2.08) and poor DFS/PFS ( HR = 1.63 ; 95% CI, 1.30–2.05). Subgroup and meta-regression analyses did not alter the prognostic role of F-NLR score in OS and DFS/PFS. Conclusions. Increased F-NLR score is significantly associated with poor prognosis in patients with cancers and can serve as an effective prognostic indicator.

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

Cancers ◽

10.3390/cancers11060778 ◽

2019 ◽

Vol 11 (6) ◽

pp. 778 ◽

Cited By ~ 3

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.

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