Literature DB >> 27410033

Clinicopathological and Prognostic Value of Ki-67 Expression in Bladder Cancer: A Systematic Review and Meta-Analysis.

Yuejun Tian1, Zhiming Ma1, Zhaohui Chen1, Mingguo Li1, Zhiping Wu2, Mei Hong1, Hanzhang Wang3, Robert Svatek3, Ronald Rodriguez3, Zhiping Wang1.   

Abstract

BACKGROUND: Ki-67 is an established marker of cell proliferation, and the Ki-67 index correlates with the clinical course of several cancer types, including bladder cancer (BC). However, the clinicopathological and prognostic significance of Ki-67 in bladder cancer remains unclear. Therefore, we performed a systematic review and meta-analysis to clarify this relationship.
METHODS: A comprehensive literature search for relevant studies published up to February 1, 2016, was performed using PubMed, Cochrane Library, Embase and ISI Web of Knowledge. The effects of Ki-67 expression on survival outcome in patients with BC and BC subtypes were evaluated. Furthermore, the relationship between Ki-67 expression and the clinicopathological features of BC were assessed.
RESULTS: Thirty-one studies with 5147 bladder cancer patients were selected for evaluation. Ki-67 expression was significantly associated with shorter recurrence-free (HR 1.69, 95% CI: 1.33-2.14), progression-free (HR 1.89, 95% CI: 1.43-2.51), overall (HR 2.03, 95% CI: 1.31-3.16), and cancer-specific (HR 1.69, 95% CI: 1.47-1.95) survival. Moreover, whereas high expression was more common in high tumor stage, recurrence status, tumor size, there was no correlation between high Ki-67 expression and age, gender, smoking habits, and tumor number. Importantly, analysis of the different subgroups of BC suggested that significant correlations between high Ki-67 expression and survival outcome (recurrence-free/progression-free/overall/cancer-specific survival) are present only in European-American patients.
CONCLUSION: The present results indicate that over-expression of Ki-67 is distinctly correlated with poor patient survival. Ki-67 may serve as a valuable biomarker for prognosis in BC patients, particularly in non-Asian BC patients. The results suggest no significant association between Ki-67 expression and BC prognosis in Asian patients. Further efforts are needed to fully clarify this relationship.

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Year:  2016        PMID: 27410033      PMCID: PMC4943634          DOI: 10.1371/journal.pone.0158891

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Bladder cancer (BC) is a common cancer of the urinary tract, with an estimated 429,800 new cases of BC and 165,100 deaths annually worldwide [1]. Clinically, bladder tumors are classified as non-muscle invasive bladder cancer (NMIBC)(Ta/T1) and muscle-invasive bladder cancer (MIBC)(T2-T4), NMIBC is also called superficial bladder cancer. Although many factors have been identified as risk factors for BC, such as smoking, age, obesity and diabetes, the pathogenesis of BC remains unclear [2, 3]. Cystoscopy and biopsy are the gold standards for the initial diagnosis of BC but are invasive, uncomfortable, and expensive [4, 5]. Therefore, novel biomarkers for early diagnosis, prognostic evaluation and effective treatment of BC are needed. Ki-67 is a DNA-binding nuclear protein that is expressed throughout the cell cycle in proliferating but not quiescent (G0) cells [6]. Ki-67 is a predictive factor for tumor development, and its expression has been correlated with poor prognosis in several types of cancer [7-10]. However, the role of Ki-67 in the prognosis of BC remains controversial. Chen et al. [11] confirmed that Ki-67 was an independent predictor of tumor recurrence and progression in a study of 72 cases of NMIBC. Makboul and Gontero et al. [12, 13] demonstrated that Ki-67 was only an independent predictor of progression and not recurrence in NMIBC patients. Tanabe et al. [14] demonstrated that high Ki-67 expression status might facilitate the selection of chemoradiotherapy-based multimodal approaches in terms of prognosis and quality of life as a result of bladder preservation in MIBC patients. Studies have revealed that Ki-67 is not correlated with or an independent predictor of BC recurrence, progression, and death. For example, Acikalin et al. [15] reported that there was no correlation between Ki-67 and tumor recurrence, progression or tumor-related mortality in a study of 68 patients with stage T1 who underwent transurethral resection of the tumor. The optimal approach to the interpretation and assessment of Ki-67 in clinical practice remains controversial among pathologists. In addition, the roles of Ki-67 expression and clinical significance in BC have not been thoroughly investigated. In this study, we performed a meta-analysis to explore the relationship between Ki-67 expression and its prognostic value in BC. This systematic review and meta-analysis was reported and performed in accordance with PRISMA guidelines (S3 Table) [16].

Materials and Methods

Study strategy

The PubMed, Cochrane, Embase and Web of Knowledge databases were searched systematically for relevant articles published up to February 1, 2016. Because the data in this study were extracted from previous studies, ethical approval from ethics committees was not required. The search terms were ‘‘bladder,” ‘‘urothelial,” ‘‘cancer or tumor or neoplasm or carcinoma,” ‘‘expression,” ‘‘Ki-67 or Ki67 or MIB-1 or MIB 1”, and ‘‘prognosis or prognostic or outcome.” The criteria for eligibility were as follows: (1) Ki-67 expression evaluated in primary BC tissues; (2) evaluation of the relationship between Ki-67 expression and BC clinicopathological parameters and prognosis; and (3) sufficient information to estimate the hazard ratio (HR) of recurrence-free survival (RFS), progression-free survival (PFS), overall survival (OS), and cancer-specific survival (CSS) and a 95% confidence intervals (CIs). Papers containing any of the following were excluded: (1) duplicate literature or duplicate data presented at conferences; (2) reviews, no available data, or abstract only; (3) studies of cancer cell lines and animal models; and (4) insufficient data to obtain HR and its standard error. For overlapping articles, only the highest-quality and most-recent literature were retained.

Data extraction and methodological assessment

The following information was recorded for each study: the first author’s name, publication year, sample source, number of cases, median or mean of patient age, gender, cancer stage, antibody source and dilution, percentage rate of expression, and follow-up period. We preferred to collect multivariate analysis data. If data were not available, data from univariate analyses of survival outcomes were extracted. All data were extracted by two independent observers (ZMM and ZHC). The quality of the selected articles was assessed according to the Newcastle-Ottawa Scale (NOS) criteria [17]. If data could not be obtained from the literature, we regarded the related data as not available.

Statistical analysis

The statistical analysis was conducted using Review Manager 5.3 (Cochrane Collaboration, Oxford, UK) and STATA 14.0 (Stata Corporation, TX). HRs and 95% CIs were used to evaluate the relationships between Ki-67 expression and RFS, PFS, OS, and CSS rates. ORs (odds ratios) and 95% CIs were used to estimate the relationships between Ki-67 expression and clinicopathological parameters, including age, sex status, tumor stage, recurrence status, tumor number, and tumor size. The statistical significance of the pooled ORs and HRs was evaluated by the Z test. Heterogeneity among the studies was evaluated with Cochran’s Q test and I2 tests [18]. When the I2 statistic results were 0–50%, a fixed-effect model was used to calculate parameters. If the I2 statistic results were 50–100%, a random-effects model was considered more appropriate than a fixed-effects model. A p value < 0.05 was considered statistically significant. Funnel plots and Begg’s test were used to evaluate potential publication bias [19].

Results

Study characteristics

Our search strategy initially identified 412 articles. Following deduplication (n = 60), the two reviewers independently screened the identified titles and abstracts. After manually screening the titles and abstracts, 22 studies were excluded because they were case reports (n = 2), review articles (n = 6), conference abstracts (n = 4), meta-analysis (n = 2) or studies irrelevant to the human studies (n = 8). Seven articles were ultimately excluded due to overlap with previously reported studies (n = 4). Thus, 31 articles published from 2001 to 2016 were included in the final meta-analysis [20-50] (Fig 1).
Fig 1

Flow chart shows study selection procedure.

The main characteristics of the 31 studies included in our meta-analysis are presented in S1 Table. Of the 31 studies, 5 were conducted in America, five in Germany, five in China, three in Greece, three in Spain, three in Korea, two in Italy, two in Japan, and one each in Portugal, Switzerland, and the UK. In 5 of the 31 studies, patients received intravesical BCG therapy. The follow-up period of the studies ranged from 2 months to 124 months. The age of the patients ranged from 21 to 97 years, and the overall proportion of males was 80.33%. Positive/high Ki-67 expression was defined by immunohistochemistry (IHC) using different antibodies and cut-off values (range, 5–55%) (S2 Table). Of the 31 studies, 23 provided HRs and 95% CI values directly. Six papers provided the relative risk (RR), and two articles provided OR values, which we used to estimate HR. Of the 31 studies, a significant association between high Ki-67 expression and poor RFS, PFS, OS and CSS was demonstrated in five [22, 26, 34, 35, 48], five [31, 36, 43, 46, 48], six [20, 24, 28, 29, 31, 42] and seven studies [27, 30, 33, 34, 42, 46, 47], respectively. Of the literature, eleven, five, three and two studies linking Ki-67 expression with poor RFS [21, 25, 37–41, 43–45], PFS[21, 25, 41, 44, 49], OS [23, 32, 41] and CSS [43, 50], respectively, lacked statistical significance.

Correlation of high Ki-67 expression with RFS in bladder cancer

Of the 16 studies investigating the association between Ki-67 expression and RFS, 7 involved Asian patients (n = 2163), and 9 involved non-Asian patients (n = 610). The overall HR for BC patients was 1.69 (95% CI 1.33–2.14, P < 0.0001, n = 2773), with significant heterogeneity (I2 = 55%, P = 0.004; Fig 2 and Table 1). Subgroup analyses indicated that the risk was significant in non-Asian patients (HR 2.23, 95% CI 1.82–2.73, P < 0.00001) with heterogeneity (I2 = 33%, P = 0.16), but not in Asian patients (HR 1.36, 95% CI 0.97–1.90, P = 0.07), with significant heterogeneity (I2 = 55%, P = 0.04).
Fig 2

The hazard ratio (HR) of Ki-67 expression associated with RFS in all bladder cancer patients.

Table 1

Results of subgroup analysis of the association between Ki-67 expression and RFS/PFS/OS/CSS of bladder cancer.

OutcomeStudies (n)PatientsHR95%CIP valueModelHeterogeneity
Chi2, I2, P value
RFSAll study1627731.691.33–2.140.000Random33.49, 55%, 0.004
Asian721631.360.97–1.900.07Random13.37, 55%, 0.04
Non-Asian96102.231.82–2.730.000Fixed11.85, 33%, 0.16
Stage T169271.451.09–1.930.01Fixed8.58, 42%, 0.13
Stage Ta-T167741.991.54–2.570.000Fixed9.26, 46%, 0.10
Stage Ta/1-T4410721.560.91–2.660.11Random12.52, 76%, 0.006
UBC1425601.791.40–2.280.000Random28.88, 55%, 0.007
SCC11521.090.39–3.080.87Fixed-
BCG55221.631.20–2.230.002Fixed4.42, 10%, 0.35
PFSAll study1016941.891.43–2.510.000Fixed16.34, 45%, 0.06
Asian46181.350.48–3.820.57Random11.41, 74%, 0.01
Non-Asian610762.051.45–2.890.000Fixed4.33, 0%, 0.50
Stage T157991.781.22–2.600.003Fixed6.42, 38%, 0.17
Stage Ta-T147992.801.75–4.490.000Fixed1.04, 0%, 0.79
Stage Ta-T41960.570.22–1.490.253Fixed-
OSAll study911592.031.31–3.160.002Random40.37, 80%, 0.000
Asian22412.970.19–47.150.44Random12.21, 92%, 0.0005
Non-Asian79181.961.26–3.060.003Random27.12, 78%, 0.0001
Stage Ta-T146382.761.81–4.200.001Fixed1.05, 0%, 0.79
Stage T2-T41822.330.99–5.430.05Fixed-
Stage Ta/1-T444391.400.82–2.400.22Random15.33, 80%, 0.002
CSSAll study925281.691.47–1.950.000Fixed10.42, 23%, 0.24
Asian11031.580.56–4.470.38Fixed-
Non-Asian824251.691.47–1.950.000Fixed10.41, 33%, 0.17
Stage T136952.861.16–7.020.02Random4.95, 60%, 0.08
Stage Ta-T111923.461.22–9.800.01Fixed-
Stage T2-T41734.701.14–19.280.032Fixed-
Stage Ta/1-T4516411.611.39–1.870.000Fixed0.73, 0%, 0.95

BCG: bacillus Calmette-Guerin; CSS: cancer-specific survival; Fixed: Fixed, Inverse Variance model; HR: hazard ratio; I2: I-squared; OS: overall survival; PFS: progression-free survival; Random: Random, I-V heterogeneity model; RFS: recurrence-free survival; SCC: squamous cell carcinoma; UBC: urothelial bladder cancer.

BCG: bacillus Calmette-Guerin; CSS: cancer-specific survival; Fixed: Fixed, Inverse Variance model; HR: hazard ratio; I2: I-squared; OS: overall survival; PFS: progression-free survival; Random: Random, I-V heterogeneity model; RFS: recurrence-free survival; SCC: squamous cell carcinoma; UBC: urothelial bladder cancer. Next, subgroups including tumor stage (six studies for stage T1, six for stages Ta-T1, and four for stages Ta/1-T4) and type of BC (14 studies for urothelial bladder cancer and 1 for squamous cell carcinoma) were analyzed. The analyses indicated that high Ki-67 expression was associated with shorter RFS in stage T1 and stages Ta-T1 patients (HR 1.45, 95% CI 1.09–1.93, P = 0.01; and HR 1.99, 95% CI 1.54–2.57, P < 0.00001, respectively) with heterogeneity (I2 = 42%, P = 0.13; and I2 = 46%, P = 0.10, respectively), but no association with shorter RFS was observed in patients in stages Ta/1-T4 (HR 1.56, 95% CI 0.91–2.66, P = 0.11). Moreover, our analyses revealed that Ki-67 expression was associated with shorter RFS in urothelial bladder cancer (HR 1.79, 95% CI 1.40–2.28, P < 0.00001). No significant association was observed between Ki-67 expression and squamous cell carcinoma (HR 1.09, 95% CI 0.39–3.08, P = 0.87). Furthermore, Ki-67 expression was an independent prognostic factor for BC treated with BCG therapy (HR, 1.63; 95% CI, 1.20–2.23; P = 0.002) (Table 1).

Relationships between Ki-67 expression and RFS in bladder cancer using different cut-off values

Subgroup analysis demonstrated that the relationship between Ki-67 expression and RFS was not significant using different Ki-67 cut-off values (10%, 25%, 50%). The pooled HRs and 95% CIs were as follows: 1.56 (95% CI 1.13–2.16) vs. 1.68 (95% CI 1.27–2.21) for a cut-off value of 10%, 1.61(95% CI 1.16–2.22) vs. 1.97 (95% CI 1.48–2.62) for a cut-off value of 25%, and 1.65 (95% CI 1.27–2.15) vs. 1.99 (95% CI 1.14–3.49) for a cut-off value of 50% (S1–S3 Figs and S2 Table).

Correlation between high Ki-67 expression and PFS in bladder cancer

The pooled HR and 95% CI for RFS provided in ten studies was 1.89, 95% CI 1.43–2.51, P < 0.0001, with heterogeneity (I2 = 45%, P = 0.06; Fig 3 and Table 1). The risk was significant in non-Asian patients but not in Asian patients, and the combined HRs and 95% CIs were as follows: HR 2.05, 95% CI 1.45–2.89, P < 0.0001; and HR 1.35, 95% CI 0.48–3.82, P = 0.57, respectively. Further subgroup analysis indicated that the risk was higher in the very early stage (stages Ta-T1) compared with stage T1, with the following combined HRs and 95% CIs: HR 2.80, 95% CI 1.75–4.49, P < 0.00001; HR 1.78, 95% CI 1.22–2.60, P = 0.003, respectively. But no significant association with PFS was observed in patients in stages Ta-T4, and the combined HRs and 95% CIs were as follows: HR 0.57, 95% CI 0.22–1.49, P = 0.253.
Fig 3

The hazard ratio (HR) of Ki-67 expression associated with PFS in all bladder cancer patients.

Correlation of high Ki-67 expression with OS and CSS in bladder cancer

The pooled HR for OS provided in nine studies indicated that Ki-67 expression was associated with worse survival in BC patients (HR = 2.03, 95% CI 1.31–3.16; P = 0.002), with heterogeneity (I2 = 80%, P < 0.0001; S4 Fig and Table 1). Subgroup analysis demonstrated that the risk was significant in non-Asian patients but not in Asian patients, and the combined HRs and 95% CIs were as follows: HR 1.96, 95% CI 1.26–3.06, P = 0.003; and HR 2.97, 95% CI 0.19–47.15, P = 0.44, respectively. Next, subgroups including tumor stage (four studies for stages Ta-T1, one for stages T2-T4, and four for stages Ta/1-T4) were analyzed. The analyses indicated that high Ki-67 expression was associated with shorter OS in stages Ta-T1 patients (HR 2.76, 95% CI 1.81–4.20, P = 0.001) with heterogeneity (I2 = 0%, P = 0.79), but no association with shorter OS was observed in patients in stages T2-T4 and stages Ta/1-T4 (HR 2.33, 95% CI 0.99–5.43, P = 0.05; and HR 1.40, 95% CI 0.82–2.40, P = 0.22, respectively). Similarly, the pooled HR for CSS provided in nine studies indicated that Ki-67 expression was associated with worse survival in BC patients (HR = 1.69, 95% CI 1.47–1.95; P < 0.0001), with heterogeneity (I2 = 23%, P = 0.24; S5 Fig and Table 1). Subgroup analysis demonstrated the risk was significant in non-Asian patients but not in Asian patients, and the combined HRs and 95% CIs were as follows: HR 1.69, 95% CI 1.47–1.95, P < 0.0001; and HR 1.58, 95% CI 0.56–4.47, P = 0.38, respectively. Next, subgroups including tumor stage (three studies for stage T1, one for stages Ta-T1, one for stages T2-T4, and five for stages Ta/1-T4) were analyzed. The analyses indicated that high Ki-67 expression was associated with shorter OS in stage T1, stages Ta-T1, stages T2-T4, and stages Ta/1-T4 patients (HR 2.86, 95% CI 1.16–7.02, P = 0.02; HR 3.46, 95% CI 1.22–9.80, P = 0.01; HR 4.70, 95% CI 1.14–19.28, P = 0.032; and HR 1.61, 95% CI 1.39–1.87, P < 0.00001, respectively).

Relationships between Ki-67 expression and clinicopathological parameters

In this meta-analysis, the relationships between clinicopathological characteristics such as age, gender, smoking habits, tumor stage, recurrence status, tumor number, and tumor size and elevated Ki-67 expression were compared on the basis of 31 studies. The results of the meta-analysis revealed significant associations between high Ki-67 expression and higher tumor stage (Ta vs. T1; Ta/1 vs. T2-4), recurrence status, and larger tumor size. The combined ORs and 95% CIs were as follows: OR 0.29, 95% CI 0.19–0.42, P < 0.00001; OR 0.30, 95% CI 0.09–1.02, P = 0.05; OR 0.43, 95% CI 0.20–0.90, P = 0.02; and OR 1.80, 95% CI 1.26–2.56, P = 0.001, respectively. However, significant associations between Ki-67 and age, gender, smoking habits, and tumor number were not observed in BC patients. The combined ORs and 95% CIs were as follows: OR 1.02, 95% CI 0.41–2.54, P = 0.97; OR 1.09, 95% CI 0.83–1.43, P = 0.55; OR 1.28, 95% CI 0.86–1.89, P = 0.22; and OR 1.28, 95% CI 0.60–2.77, P = 0.52, respectively (Table 2).
Table 2

Results of subgroup analysis of the association between Ki-67 expression and clinicopathological parameters.

Outcome of interestStudies (n)PatientsOR95%CIP valueModelHeterogeneity
Chi2, I2, P value
Age (≥65 vs. <65)22931.020.41–2.540.97Random2.03, 51%, 0.15
Gender (Male vs. Female)615511.090.83–1.430.55Fixed3.59, 0%, 0.61
Asian35220.890.56–1.430.63Fixed1.75, 0%, 0.42
Non-Asian310291.200.86–1.680.29Fixed0.87, 0%, 0.65
Smoke habits (Smoke vs. Non-smoke)15881.280.86–1.890.22Fixed-
Ta vs. T145700.290.19–0.420.000Fixed3.20, 6%, 0.36
Ta-1 vs. T2-4310100.300.09–1.020.05Random12.97, 85%, 0.002
Recurrence vs. No recurrence68970.430.20–0.900.02Random18.64, 73%, 0.002
Multiple vs. Single35221.280.60–2.770.52Random6.28, 68%, 0.04
Tumor size (<3 vs. ≥3cm)46861.801.26–2.560.001Fixed3.46, 13%, 0.33

Fixed: Fixed, Inverse Variance model; I2: I-squared; OR: odd ratio; Random: Random, I-V heterogeneity model.

Fixed: Fixed, Inverse Variance model; I2: I-squared; OR: odd ratio; Random: Random, I-V heterogeneity model.

Publication bias

Publication bias was conducted by Begg’s test for RFS and PFS of bladder carcinoma, with P values of 0.964 and 0.152, respectively. (Fig 4A and 4C). Quantitative assessment by Egger’s test for RFS and PFS suggested that our analyses were stable (P = 0.350, P = 0.195) (Fig 4B and 4D).
Fig 4

Funnel plots were used to evaluate publication bias on RFS and PFS.

(A) Begg’s test was not significant intending no significant bias was observed on RFS. (B) Egger’s test was not significant intending no significant bias was observed on RFS. (C) It showed no publication bias on PFS in Begg’s test, (D) It showed no publication bias on PFS in Egger’s test.

Funnel plots were used to evaluate publication bias on RFS and PFS.

(A) Begg’s test was not significant intending no significant bias was observed on RFS. (B) Egger’s test was not significant intending no significant bias was observed on RFS. (C) It showed no publication bias on PFS in Begg’s test, (D) It showed no publication bias on PFS in Egger’s test.

Discussion

Increasing evidence indicates that BC genomes exhibiting the most complex alterations are associated with a high Ki-67 proliferation index [51]. Pichu et al. [52] reported that in BC cells, prior exposure to anti-Ki-67 siRNA induces tumor cells to undergo curcumin-induced growth arrest and apoptosis by non-p53 and non-p21-dependent signaling pathways, which may be useful for gene therapy. Wang et al. [53] reported that the combined effects of TP53 and Ki-67 revealed predictive value for NMIBC recurrence. However, the relationship between Ki-67 and outcome remains unclear, and the roles and clinical significance of Ki-67 expression in BC have not been thoroughly investigated [54]. In the present study, the analyses of the pooled data indicated that (1) BC patients with high Ki-67 expression had a lower survival rate; (2) high Ki-67 expression was associated with the more aggressive clinical stage and larger tumor size in BC patients; (3) aberrant Ki-67 expression was higher in recurrent BC than in non-recurrent BC; (4) Ki-67 expression was not strongly associated with age, gender, and tumor number in BC patients; (5) a strong relationship between poor prognostic indicators and Ki-67 expression was established only for European-American patients. The correlation between Ki-67 expression and survival outcome (RFS/PFS/OS/CSS) did not reach statistical significance in Asian patients. Our study provides insights on the results of individual studies focused on the hypothesis that Ki-67 is a prognostic factor for BC and suggests that adjuvant therapy may be helpful in the high-risk subgroup of patients. Although further validation and investigation are needed, these data provide new insights on the biological aggressiveness of BC in Asian versus in non-Asian patients. The biological mechanism of Ki-67 explains its prognostic significance in BC. Ki-67 is an index of cell proliferation and a measure of cell growth fraction during the G1, S, G2 and M stages of the cell cycle and is widely applied in immunohistochemistry (IHC) to estimate the activities of cell proliferation in many cancers. Some researches investigated the relationships between the Ki-67 and distant metastases [55, 56]. They found that Ki-67 expression was upregulated in the transforming growth factor-β1 (TGF-β1) treated tumors, and TGF-β1 promotes EMT (epithelial-to-mesenchymal transition), migration, and invasion in bladder cancer cells [57]. Furthermore, it was showed that highly Ki-67 may induce EMT by increasing the expression of vimentin, which enhances cancer cell invasion and metastatic [58]. The present meta-analysis is the first study to systematically evaluate the associations between Ki-67 expression and clinicopathological features and prognostic factors in BC. Ki-67 can be considered an oncogene, and its activation may contribute to tumor progression and poor prognosis. Based on this meta-analysis, we suggest that Ki-67 expression in BC tends to indicate a poor prognosis. Several limitations of this study must be acknowledged. In the included studies, the antibodies used to detect Ki-67 expression were not identical (anti-Ki67 mAb and anti-MIB-1 mAb). The definitions of the cut-off value also differed. Clinical factors such as race, age, and the use of different chemotherapies in each study may also be sources of bias. Non-English studies, unpublished studies, and studies that did not provide sufficient data to calculate HRs were not included in the assessment of the predictive value of Ki-67 for survival. These approaches may have produced errors due to the inclusion of inaccurate readings. Finally, although we included 31 studies comprising 5147 cases in this meta-analysis, few studies were categorized for subgroup analysis, and several survival subgroup analyses data lack. Therefore, more well-designed and large-scale trials are needed to confirm these findings. In conclusion, our meta-analysis confirmed the significant associations between Ki-67 expression and clinicopathological features and prognostic factors in BC. Although subgroup analysis indicated no significant association between Ki-67 expression and BC prognosis in Asian patients. Our meta-analysis demonstrates that Ki-67 has a detrimental effect on clinicopathological features and recurrence status in BC. Therefore, Ki-67 could serve as an independent prognostic factor of RFS, PFS, OS and CSS in European-American patients. Ki-67 may be a novel candidate for BC genotyping and an indicator for predicting the prognosis of BC patients.

Cutoff value ≥ 10% and cutoff value < 10%.

HR of Ki-67 expression associated with RFS in all BC patients subgroup. Abbreviations: HR, hazard ratio; RFS, recurrence-free survival; BC, bladder cancer. (TIF) Click here for additional data file.

Cutoff value ≥ 25% and cutoff value < 25%

. HR of Ki-67 expression associated with RFS in all BC patients subgroup. Abbreviations: HR, hazard ratio; RFS, recurrence-free survival; BC, bladder cancer. (TIF) Click here for additional data file.

Cutoff value ≥ 50% and cutoff value < 50%

. HR of Ki-67 expression associated with RFS in all BC patients subgroup. Abbreviations: HR, hazard ratio; RFS, recurrence-free survival; BC, bladder cancer. (TIF) Click here for additional data file.

HR of Ki-67 expression associated with OS in all BC patients.

Abbreviations: HR, hazard ratio; OS, overall survival; BC, bladder cancer. (TIF) Click here for additional data file.

HR of Ki-67 expression associated with CSS in all BC patients.

Abbreviations: HR, hazard ratio; CSS, cancer-specific survival; BC, bladder cancer. (TIF) Click here for additional data file.

Summary of the characteristics of enrolled studies.

(DOCX) Click here for additional data file.

HR values of RFS of BC subgroups depended on cutoff value.

(DOCX) Click here for additional data file.

PRISMA 2009 checklist.

(DOC) Click here for additional data file.

The raw data of Fig 4.

(RAR) Click here for additional data file.
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Journal:  Urol Int       Date:  2013-01-17       Impact factor: 2.089

8.  Expression of cell-cycle regulatory proteins and their prognostic value in superficial low-grade urothelial cell carcinoma of the bladder.

Authors:  L L Santos; T Amaro; S A Pereira; C R Lameiras; P Lopes; M J Bento; J Oliveira; B Criado; C S Lopes
Journal:  Eur J Surg Oncol       Date:  2003-02       Impact factor: 4.424

9.  Prognostic factors in survival of patients with stage Ta and T1 bladder urothelial tumors: the role of G1-S modulators (p53, p21Waf1, p27Kip1, cyclin D1, and cyclin D3), proliferation index, and clinicopathologic parameters.

Authors:  Antonio Lopez-Beltran; Rafael J Luque; Jose Alvarez-Kindelan; Ana Quintero; Felix Merlo; Maria J Requena; Rodolfo Montironi
Journal:  Am J Clin Pathol       Date:  2004-09       Impact factor: 2.493

10.  Decreasing of p27(Kip1)and cyclin E protein levels is associated with progression from superficial into invasive bladder cancer.

Authors:  T Kamai; K Takagi; H Asami; Y Ito; H Oshima; K I Yoshida
Journal:  Br J Cancer       Date:  2001-05-04       Impact factor: 7.640

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  21 in total

1.  DWI and IVIM are predictors of Ki67 proliferation index: direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma.

Authors:  Yuan Yuan; Dewei Zeng; Yajie Liu; Juan Tao; Yu Zhang; Jie Yang; Tsendjav Lkhagvadorj; Zhenzhen Yin; Shaowu Wang
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

2.  Prediction of the postoperative prognosis in patients with non-muscle-invasive bladder cancer based on preoperative serum surface-enhanced Raman spectroscopy.

Authors:  Ruochen Zhu; Yuanjun Jiang; Zheng Zhou; Shanshan Zhu; Zhuoyu Zhang; Zhilin Chen; Shuo Chen; Zhe Zhang
Journal:  Biomed Opt Express       Date:  2022-07-11       Impact factor: 3.562

3.  Clinical significance of circulating tumour cells and Ki-67 in renal cell carcinoma.

Authors:  Jinbo Song; Zhe Yu; Bingqi Dong; Mingkai Zhu; Xiaofeng Guo; Yongkang Ma; Shiming Zhao; Tiejun Yang
Journal:  World J Surg Oncol       Date:  2021-05-25       Impact factor: 2.754

4.  Epidermal Growth Factor Receptor and Ki-67 as Predictive Biomarkers Identify Patients Who Will Be More Sensitive to Intravesical Instillations for the Prevention of Bladder Cancer Recurrence after Radical Nephroureterectomy.

Authors:  Xingbo Long; Xiongbing Zu; Yuan Li; Wei He; Xiheng Hu; Shiyu Tong; Zhi Wang; Minfeng Chen; Lin Qi
Journal:  PLoS One       Date:  2016-11-21       Impact factor: 3.240

Review 5.  The diagnostic and prognostic values of Ki-67/MIB-1 expression in thyroid cancer: a meta-analysis with 6,051 cases.

Authors:  Deng-Hua Pan; Dong-Yue Wen; Yi-Huan Luo; Gang Chen; Hong Yang; Jun-Qiang Chen; Yun He
Journal:  Onco Targets Ther       Date:  2017-07-03       Impact factor: 4.147

Review 6.  Prognostic and clinicopathological role of high Ki-67 expression in patients with renal cell carcinoma: a systematic review and meta-analysis.

Authors:  Yongpeng Xie; Luyao Chen; Xin Ma; Hongzhao Li; Liangyou Gu; Yu Gao; Yang Fan; Yu Zhang; Xu Zhang
Journal:  Sci Rep       Date:  2017-03-13       Impact factor: 4.379

7.  Ki-67 Expression as a Predictive Factor of Muscle Invasion in Bladder Cancer.

Authors:  Syah Mirsya Warli; Dhirajaya Dharma Kadar; Ginanda Putra Siregar
Journal:  Open Access Maced J Med Sci       Date:  2018-02-09

8.  Impact of the Ki-67 labeling index and p53 expression status on disease-free survival in pT1 urothelial carcinoma of the bladder.

Authors:  Malte W Vetterlein; Julia Roschinski; Philipp Gild; Phillip Marks; Armin Soave; Ousman Doh; Hendrik Isbarn; Wolfgang Höppner; Walter Wagner; Shahrokh F Shariat; Maurizio Brausi; Franziska Büscheck; Guido Sauter; Margit Fisch; Michael Rink
Journal:  Transl Androl Urol       Date:  2017-12

9.  Prognostic markers in pT3 bladder cancer: A study from the international bladder cancer tissue microarray project.

Authors:  Gang Wang; Peter C Black; Peter J Goebell; Lingyun Ji; Carlos Cordon-Cardo; Bernd Schmitz-Dräger; Debra Hawes; Bogdan Czerniak; Sarah Minner; Guido Sauter; Frederic Waldman; Susan Groshen; Richard J Cote; Colin P Dinney
Journal:  Urol Oncol       Date:  2021-02-07       Impact factor: 2.954

10.  High expression of Ki-67 is an independent favorable prognostic factor for esophageal small cell carcinoma.

Authors:  Han-Yu Deng; Zi-Hang Chen; Zhi-Qiang Wang; Yun-Cang Wang; En-Min Li; Li-Yan Xu; Yi-Dan Lin; Long-Qi Chen
Journal:  Oncotarget       Date:  2017-07-21
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