scholarly journals Prognostic Efficacy of Tumor-Stroma Ratio in Women With Breast Cancer: A Meta-Analysis of Cohort Studies

2021 ◽  
Vol 11 ◽  
Author(s):  
Pengli Jiang ◽  
Yulong Chen ◽  
Bin Liu
Keyword(s):  
Breast Cancer ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tumor Stroma ◽  
Current Evidence ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Prognostic Predictor

BackgroundTumor-stroma ratio (TSR) has been suggested as an emerging prognostic predictor in women with breast cancer. However, previous studies evaluating the association between TSR and survival in women with breast cancer showed inconsistent results. We performed a meta-analysis to systematically evaluate the possible prognostic role of TSR in breast cancer.MethodsRelevant cohort studies were obtained via search of PubMed, Embase, and Web of Science databases. A random-effects model, which incorporated the potential heterogeneity, was used to pool the results.ResultsTwelve cohort studies with 6175 patients were included. Nine of the 12 studies used 50% as the cutoff to divide the patients into those with stroma-rich (low TSR) and stroma-poor (high TSR) tumors. Pooled results showed that compared women with stroma-poor tumor, those with stroma-rich tumor were associated with worse survival outcomes (disease-free survival [DFS]: hazard ratio [HR] = 1.56, 95% confidence interval [CI]: 1.32 to 1.85, P < 0.001; overall survival [OS]: HR = 1.67, 95% CI: 1.46 to 1.91, P < 0.001; and cancer-specific survival [CSS]: HR = 1.75, 95% CI: 1.40 to 2.20, P < 0.001). Analysis limited to women with triple-negative breast cancer (TNBC) showed consistent results (DFS: HR: 2.07, 95% CI: 1.59 to 2.71, P < 0.001; OS: HR: 2.04, 95% CI: 1.52 to 2.73, P < 0.001; and CSS: HR: 2.40, 95% CI: 1.52 to 3.78, P < 0.001).ConclusionsCurrent evidence from retrospective studies supports that tumor TSR is a prognostic predictor or poor survival in women with breast cancer.

Prognostic Role of C-Reactive Protein in Breast Cancer: A Systematic Review and Meta-Analysis

2011 ◽  
Vol 26 (4) ◽  
pp. 209-215 ◽  
Author(s):  
Yijie Han ◽  
Feng Mao ◽  
Ying Wu ◽  
Xiaonan Fu ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
C Reactive Protein ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Reactive Protein ◽  
Hazard Ratios ◽  
Disease Free

Background Recent studies have shown that C-reactive protein (CRP) may be associated with breast cancer. The purpose of this study is to summarize the predictive role of CRP for survival in breast cancer as shown in all available studies worldwide. Methods Related studies were identified and evaluated for quality through multiple search strategies. Data were collected from studies comparing overall, cancer-specific, and disease-free survival (OS, CSS, and DFS) in patients with elevated CRP levels and those having lower levels. Studies were pooled, and combined hazard ratios (HRs) of CRP for survival were calculated. Results A total of 10 studies (n=4,502) were included for this meta-analysis (9 for OS, 3 for CSS, and 3 for DFS). For overall and disease-free survival, the pooled HRs of CRP were significant at 1.62 (95% confidence interval [95% CI], 1.20-2.18) and 1.81 (95% CI, 1.44-2.26), respectively. For cancer-specific survival, the pooled HR in higher CRP expression in breast cancer was 2.08 (95% CI, 1.48-2.94), which could strongly predict poorer survival in breast cancer. Conclusions CRP has a critical prognostic value in patients with breast cancer as an inflammation biomarker.

scholarly journals Prognostic Value of Tumor-Stroma Ratio in Rectal Cancer: A Systematic Review and Meta-analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Yuzhou Zhu ◽  
Zechuan Jin ◽  
Yuran Qian ◽  
Yu Shen ◽  
Ziqiang Wang
Keyword(s):  
Rectal Cancer ◽  
Web Of Science ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tumor Stroma ◽  
Pathologic Feature ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Risk Predictor ◽  
Disease Free

BackgroundTumor-stroma ratio (TSR) is a promising new prognostic predictor for patients with rectal cancer (RC). Although several studies focused on this pathologic feature, results from those studies were still inconsistent.MethodsThis research aimed to estimate the prognostic values of TSR for RC. A search of PubMed, EMBASE, and Web of Science was carried out. A meta-analysis was performed on disease-free survival, cancer-specific survival, and overall survival in patients with RC.ResultsThe literature search generated 1,072 possible studies, of which a total of 15 studies, involving a total of 5,408 patients, were eventually included in the meta-analysis. Thirteen of the 15 articles set the cutoff for the ratio of stroma at 50%, dividing patients into low-stroma and high-stroma groups. Low TSR (rich-stroma) was significantly associated with poorer survival outcome. (DFS: HR 1.54, 95% CI 1.32–1.79; OS: HR 1.52 95% CI 1.34–1.73; CSS: HR 2.05 95% CI 1.52–2.77).ConclusionPresent data support TSR to be a risk predictor for poor prognosis in RC patients.

scholarly journals Controlling Nutritional Status Score Before Receiving Treatment as a Prognostic Indicator for Patients With Urothelial Cancer: An Exploration Evaluation Methods

2021 ◽  
Vol 11 ◽  
Author(s):  
Lei Peng ◽  
Chunxiao Du ◽  
Chunyang Meng ◽  
Jinze Li ◽  
Chengyu You ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Urothelial Cancer ◽  
Meta Analysis ◽  
Search Time ◽  
Disease Free Survival ◽  
Current Evidence ◽  
Cochrane Library ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Conut Score

IntroductionThis meta-analysis aims to assess whether the Controlling nutritional status (CONUT) score before treatment can be an independent predictor of the prognosis of patients with urothelial cancer (UC).MethodsThe system searches Web of Science, PubMed, MEDLINE, China National Knowledge Infrastructure (CNKI), and Cochrane Library, and the search time is up to April 2021. Use STATA 16.0 and Engauge Digitizer 4.1 software for data processing and statistical analysis.ResultsA total of 8 studies were included in this meta-analysis. The meta-analysis results show that compared with the low CONUT group, the high CONUT group has worse over survival (OS) [HR=1.58, 95%CI (1.34, 1.86), P=0.001], cancer-specific survival (CSS) [HR=2.03, 95%CI (1.25-3.29), P=0.04] and recurrence-free survival (RFS) [HR=1.97, 95%CI (1.15, 3.40), P=0.014]; for progression-free survival (PFS), or disease-free survival (DFS), the difference between the two groups was not statistically significant [HR=2.30, 95%CI (0.72, 7.32), P=0.158]. According to different carcinoma types, cut-off value, and region, subgroup analysis of OS was performed, and similar results were obtained.ConclusionsBased on current evidence, this meta-analysis proves that the CONUT score of UC patients before treatment is an independent prognostic predictor. It performs well on OS, CSS, and RFS, but the conclusions on DFS/PFS need to be treated with caution.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021251890, identifier CRD42021251890.

scholarly journals Tumor-infiltrating B cells as a favorable prognostic biomarker in breast cancer: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
You Qin ◽  
Fei Peng ◽  
Lisha Ai ◽  
Shidai Mu ◽  
Yuting Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Random Effects Models ◽  
Hazard Ratios ◽  
Novel Therapeutic Strategies ◽  
High Level

Abstract Background Tumor-infiltrating B lymphocytes (TIL-Bs) is a heterogeneous population of lymphocytes. The prognostic value of TIL-Bs in patients with breast cancer remains controversial. Here we conducted this meta-analysis to clarify the association of TIL-Bs with outcomes of patients with breast cancer. Methods We searched PubMed, Embase, and Web of Science to identify relevant studies assessing the prognostic significance of TIL-Bs in patients with breast cancer. Fixed- or random-effects models were used to evaluate the pooled hazard ratios (HRs) for overall survival (OS), breast cancer-specific survival (BCSS), disease-free survival (DFS), and relapse-free survival (RFS) in breast cancer. Results A total of 8 studies including 2628 patients were included in our study. Pooled analyses revealed that high level of TIL-Bs was associated with longer OS (pooled HR = 0.42, 95% CI 0.24–0.60), BCSS (pooled HR = 0.66, 95% CI 0.47–0.85), and DFS/RFS (pooled HR = 0.41, 95% CI 0.27–0.55). Conclusions This meta-analysis suggests that TIL-Bs could be a promising prognostic marker for breast cancer. Novel therapeutic strategies for breast cancer treatment could be developed by enhancement of B cell-mediated antitumor immunity.

scholarly journals Meta-analysis of the prognostic significance of FOXC2 in various tumors

2019 ◽  
Vol 48 (3) ◽  
pp. 030006051989164
Author(s):  
Bixia Xu ◽  
Yun Tian ◽  
Lin Liu
Keyword(s):  
Cancer Patients ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Final Analysis ◽  
Hazard Ratio ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Forkhead Box

Objective Many studies have focused on correlations between forkhead box protein C2 (FOXC2) and various tumors but discrepant results have been reported. Thus, we conducted this meta-analysis to assess the prognostic role of FOXC2 in tumors. Methods Four electronic databases (PubMed, Embase, Web of Science, and SinoMed) were screened through September 2019. Results The final analysis included 15 reports and 2115 patients; results suggested that cancer patients with FOXC2 had worse overall survival (hazard ratio 2.14, 95% confidence interval (CI) 1.74–2.64), cancer-specific survival (hazard ratio 2.65, 95% CI 1.44–4.89), and disease-free survival (hazard ratio 1.93, 95% CI 1.49–2.50) than patients lacking FOXC2. Conclusions The presence of FOXC2 was associated with poor survival in cancer patients. FOXC2 could be a promising prognostic marker in the future.

scholarly journals Clinical significance of tumor-stroma ratio in head and neck cancer: a systematic review and meta-analysis

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alhadi Almangush ◽  
Rasheed Omobolaji Alabi ◽  
Giuseppe Troiano ◽  
Ricardo D. Coletta ◽  
Tuula Salo ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Clinical Significance ◽  
Neck Cancer ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tumor Stroma ◽  
Free Survival ◽  
Hematoxylin And Eosin ◽  
Meta Analyses

Abstract Background The clinical significance of tumor-stroma ratio (TSR) has been examined in many tumors. Here we systematically reviewed all studies that evaluated TSR in head and neck cancer. Methods Four databases (Scopus, Medline, PubMed and Web of Science) were searched using the term tumo(u)r-stroma ratio. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) were followed. Results TSR was studied in nine studies of different subsites (including cohorts of nasopharyngeal, oral, laryngeal and pharyngeal carcinomas). In all studies, TSR was evaluated using hematoxylin and eosin staining. Classifying tumors based on TSR seems to allow for identification of high-risk cases. In oral cancer, specifically, our meta-analysis showed that TSR is significantly associated with both cancer-related mortality (HR 2.10, 95%CI 1.56–2.84) and disease-free survival (HR 1.84, 95%CI 1.38–2.46). Conclusions The assessment of TSR has a promising prognostic value and can be implemented with minimum efforts in routine head and neck pathology.

scholarly journals A critical evaluation of the role of aromatase inhibitors as adjuvant therapy for postmenopausal women with breast cancer

2011 ◽  
Vol 18 (3) ◽  
pp. R79-R89 ◽  
Author(s):  
Thierry Petit ◽  
Patrick Dufour ◽  
Ian Tannock
Keyword(s):  
Postmenopausal Women ◽  
Aromatase Inhibitors ◽  
Critical Evaluation ◽  
Disease Free Survival ◽  
Current Evidence ◽  
Free Survival ◽  
Node Positive Disease ◽  
Expected Benefits ◽  
Disease Free

The introduction of aromatase inhibitors (AI) has provided more options for adjuvant treatment of postmenopausal women; they are associated with improved disease-free survival, but less commonly with improvements in overall survival. Current evidence suggests that women at high risk of recurrence, especially those with node-positive disease, should receive an AI for 2 years as part of their treatment, but routine prescription of AIs to postmenopausal patients with low-risk disease is not appropriate. Not only the expected benefits but also the specific toxicity of the prescribed hormone therapy, and its cost, should be considered when selecting treatment.

scholarly journals High Platelet-to-Lymphocyte Ratio Predicts Poor Prognosis and Clinicopathological Characteristics in Patients with Breast Cancer: A Meta-Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Miao Zhang ◽  
Xuan-zhang Huang ◽  
Yong-xi Song ◽  
Peng Gao ◽  
Jing-xu Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
Platelet To Lymphocyte Ratio ◽  
Free Survival ◽  
Node Negative ◽  
Lymphocyte Ratio

Background. We aimed to evaluate the correlation of platelet-to-lymphocyte ratio (PLR) with prognosis and clinicopathological characteristics of breast cancer. Methods. The PubMed and Embase databases were searched. Hazard ratio (HR) with 95% confidence interval (CI) was used to summarize disease-free survival (DFS) and overall survival (OS). Odds ratio (OR) was used to summarize tumor clinicopathological characteristics. Results. High PLR was associated with poor DFS and OS (DFS: HR = 1.47, 95% CI = 1.16–1.85, and Tau2 = 0.070; OS: HR = 1.88, 95% CI = 1.27–2.80, and Tau2 = 0.192). A Galbraith plot indicated that the studies by Allan et al. and Cihan et al. contributed the heterogeneity of DFS and OS, respectively. There were significant differences in the incidence of high PLR between stage II–IV and stage I groups (OR = 1.86, 95% CI = 1.20–2.90, and Tau2 < 0.001), between lymph node-positive and lymph node-negative groups (OR = 1.52, 95% CI = 1.22–1.91, and Tau2 =0.014), and between metastasis-positive and metastasis-negative groups (OR = 4.24, 95% CI = 2.73–6.59, and Tau2 < 0.001). Conclusions. Our results indicated that PLR was associated with poor prognosis of breast cancer and adequately predicted clinicopathological characteristics.

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.

The prognostic relevance of 14-3-3 expression in cancers: a meta-analysis

2021 ◽  
pp. 1-9
Author(s):  
Caihong Li ◽  
Honglan Zhu ◽  
Changlu Liu ◽  
Ya Liu ◽  
Ting Huang ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Size Analysis ◽  
Tumor Type ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Hazard Ratios ◽  
Prognostic Importance ◽  
Patient Prognosis

AbstractObjective: A number of recent clinical studies have identified a relationship between elevated expressions of 14-3-3 and poorer patient prognosis in the context of several cancers. The present meta-analysis was therefore conducted to gain an enhanced understanding of the prognostic importance of 14-3-3 levels in cancer patients. Methods: Two reviewers independently systematically reviewed the Web of Science, Embase, and PubMed databases to identify published, suitable studies through October 2019. The correlation between the level of 14-3-3 and cancer patient survival were assessed based upon pooled HR (hazard ratios) and 95% CI (confidence intervals) derived from chosen studies. Results: In total we were able to identify 22 eligible studies that had enrolled 2676 patients in the present meta-analysis. Assessment of these studies revealed that elevated 14-3-3 level correlated significantly with poorer OS (overall survival) (HR : 1.93, 95% CI : 1.42-2.61) in cancer patients. This was true even when studies were analyzed in subgroups according to tumor type, sample size, analysis type, and method of HR determination. With respect to disease-free survival (DFS), the pooled HR for cancer patients expressing high levels of 14-3-3 was 1.89 (95% CI: 1.56-2.30). Patients with elevated 14-3-3 expression also exhibited reduced CSS (cancer-specific survival) (HR: 3.47, 95% CI: 2.12-5.69).Conclusions: The outcomes indicate that higher level of 14-3-3 correlates with poorer patient prognosis in a range of cancer types.Keywords: Meta-analysis, Prognosis, 14-3-3 Proteins C Continuous...

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