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. 2015 Jul 15;15:520. doi: 10.1186/s12885-015-1524-2

Ki-67 as a prognostic marker in early-stage non-small cell lung cancer in Asian patients: a meta-analysis of published studies involving 32 studies

Song Wen 1,2,#, Wei Zhou 3,#, Chun-ming Li 4,#, Juan Hu 5, Xiao-ming Hu 2, Ping Chen 2, Guo-liang Shao 1,, Wu-hua Guo 6,
PMCID: PMC4502553  PMID: 26174366

Abstract

Background

Despite the large number of published papers analyzing the prognostic role of Ki-67 in NSCLC, it is still not considered an established factor for routine use in clinical practice. The present meta-analysis summarizes and analyses the associations between Ki-67 expression and clinical outcome in NSCLC patients.

Methods

PubMed, Cochrane, and Embase databases were searched systematically using identical search strategies. The impacts of Ki-67 expression on survival in patients with NSCLC and NSCLC subtypes were evaluated. Furthermore, the association between Ki-67 expression and the clinicopathological features of NSCLC were evaluated.

Results

In total, 32 studies from 30 articles met the inclusion criteria, involving 5600 patients. Meta-analysis results suggested that high Ki-67 expression was negatively associated with overall survival (OS; HR = 1.59, 95 % CI 1.35-1.88, P < 0.001) and disease-free survival (DFS; HR = 2.21, 95 % CI 1.43-3.42, P < 0.001) in NSCLC patients. Analysis of the different subgroups of NSCLC suggested that the negative association between high Ki-67 expression and OS and DFS in Asian NSCLC patients was stronger than that in non-Asian NSCLC patients, particularly in early-stage (Stage I-II) adenocarcinoma (ADC) patients. Additionally, while high expression was more common in males, smokers, and those with poorer differentiation, there was no correlation between high Ki-67 expression and age or lymph node status. Importantly, significant correlations between high Ki-67 expression and clinicopathological features (males, higher tumor stage, poor differentiation) were seen only in Asian NSCLC patients.

Conclusions

The present meta-analysis indicated that elevated Ki-67 expression was associated with a poorer outcome in NSCLC patients, particularly in early-stage Asian ADC patients. Studies with larger numbers of patients are needed to validate our findings.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-015-1524-2) contains supplementary material, which is available to authorized users.

Keywords: Ki-67, Meta-analysis, Non-small cell lung cancer, Prognostic value

Background

Lung cancer (LC) is often fatal and is very common worldwide. It has been reported that the overall 5-year survival rate of lung cancer patients was ~16 %, and that it was < 70 % even in patients diagnosed at stage I [1]. Non-small cell lung cancer (NSCLC), of which adenocarcinoma (ADC) and non-ADC (including squamous cell carcinoma (SQCC), large cell lung carcinoma (LCC), and bronchial gland carcinoma (BGC)) account for the majority of cases, represents almost 80 % of primary LC cases. Although the treatment of LC is becoming more individualized, there is an urgent need for reliable prognostic factors to predict clinical outcome and to more precisely stratify the group of patients with poorer outcomes.

Ki-67 is expressed in proliferating cells and has been used in clinical practice as an index to evaluate proliferative activity in NSCLC and other cancers [2, 3]. Moreover, several studies have suggested that high Ki-67 expression in a tumor is a strong prognostic factor in NSCLC [47]. However, despite the large number of published papers analyzing the prognostic role of Ki-67 in NSCLC, it is still not considered an established factor for routine use in clinical practice [8, 9]. Although a large meta-analysis involving 17 studies published in 2004 showed that high expression of Ki-67 was associated with a poorer overall survival (hazard ratio (HR) 1.56, 95 % confidence interval (CI) 1.30–1.87), it did not evaluate the association between Ki-67 expression and disease-free survival. Most importantly, because of the limited number of studies and patients included, it did not examine high Ki-67 expression in Asian patients [2]. Thus, a further meta-analysis investigation is needed to delineate the relationship between Ki-67 expression and prognostic significance in NSCLC more clearly.

In this study, we performed a meta-analysis to explore the relationship between Ki-67 expression and its prognostic value in NSCLC. Associations between Ki-67 expression and the clinicopathological features of NSCLC, including age, gender, smoking status, lymph node status, and tumor differentiation, were also evaluated.

Methods

The protocol, including the objective of our analysis, criteria for study inclusion/exclusion, assessment of study quality, primary outcome, and statistical methods, was in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (“PRISMA”) statement (Additional files 1 and 2) [10].

Study selection

The PubMed, Cochrane, and Embase databases were searched systematically for relevant articles published up to November 1, 2014. Search terms included Non-Small-Cell Lung Cancer (‘Carcinoma, Non-Small-Cell Lung’ or ‘Carcinoma, Non Small Cell Lung’ or ‘Carcinomas, Non-Small-Cell Lung’ or ‘Lung Carcinoma, Non-Small-Cell’ or ‘Lung Carcinomas, Non-Small-Cell’ or ‘Non-Small-Cell Lung Carcinomas’ or ‘Carcinoma, Non-Small Cell Lung’ or ‘Non-Small-Cell Lung Carcinoma’ or ‘Non Small Cell Lung Carcinoma’ or ‘NSCLC’), Ki-67 (‘Ki-67’ or ‘Ki67’ or ‘MIB-1’ or ‘MIB 1’ or ‘proliferative index’), prognosis, survival, and outcome, in all possible combinations. Using these parameters, we filtered out all the eligible articles and looked through their reference lists for additional studies. The systematic literature search was undertaken independently by two reviewers (SW and ZW) and ended in November 2014. Disagreements were determined through consensus with a third reviewer (CL). Authors of the eligible studies were contacted for additional data relevant to this meta-analysis, as necessary.

Inclusion and exclusion criteria

Inclusion criteria for the primary studies were 1) inclusion of patients with a distinct NSCLC diagnosis by pathology, 2) measurement of Ki-67 expression using immunohistochemistry (IHC) in primary NSCLC tissue, 3) investigation of the relationship between Ki-67 expression and overall survival (OS) or disease-free survival (DFS) in patients with NSCLC and availability of valid survival data either provided directly or that could be calculated indirectly, and 4) publication in the English language. When authors had several publications or reported on the same patient population, only the most recent or complete study was included.

Exclusion criteria for the primary studies were 1) an overlap among articles or duplicate data; 2) the use of animals or cell lines; 3) insufficient data availability for estimating HR and 95 % CI, such as typical of abstracts, editorials, letters, conferences data, expert opinions, reviews, and case reports; 4) investigation of the relationship between Ki-67 and NSCLC using methods other than IHC; 5) inclusion of patients who underwent chemotherapy or radiotherapy interventions; and 6) a study sample comprising fewer than 20 patients.

Data extraction and literature quality assessment

Two investigators (SW and WZ) conducted the data extractions independently [10]. Any discrepancies were determined by reviewing the articles together until a consensus was reached. The following information was extracted from each article: name of first author and publication date; study population characteristics such as number of patients, age, gender, and treatment during follow-up; tumor data such as pathology, type of NSCLC, Ki-67 expression in the primary site, and TNM stage; variables such as tissue Ki-67 measurement method, cut-off value for the Ki-67 level; survival data, such as OS and DFS; and relevant quality scores. The primary data were the HR and 95 % CI for survival outcomes, including OS and DFS.

For study quality control, we used the Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK) and extracted 18 items (Additional file 3: Table S1). Each item was scored on a scale of 0–2, with 2 indicating a complete description, 1 indicating a partly matched description, and 0 indicating no matched description. The maximum score was 36 [11, 12]. Any discrepancies were resolved by a consensus discussion with a third reviewer (CL).

Statistical analysis

ORs with 95 % CIs were used to estimate the association between Ki-67 expression and the clinical characteristics of NSCLC patients, including age, gender, smoking habits, pathological type, TNM stage, tumor stage, lymph nodes status, and tumor differentiation status. According to the clinical characteristics, stages III and IV together were defined as ‘advanced stage’ and stages I and II as ‘early stage’. T2, T3, and T4 were all defined as ‘advanced stage’ compared with T1. N1, N2, and N3, which were combined into one group. Moderately and poorly differentiated were also combined [13, 14].

To identify the prognostic effect of Ki-67 expression, the overall HR and 95 % CI were evaluated for elevated Ki-67 expression. The combined ORs and HRs were initially estimated graphically using forest plots. Subgroup analyses were then conducted when the risk (OR or HR) was significant (P < 0.05).

The heterogeneity of the studies was assessed using Cochran’s Q test and the Higgins I2 statistic. When the I2 was below 50 %, the studies were considered to have acceptable heterogeneity, and a fixed effects model was used; otherwise, a random effect model was used.

To assess the stability of the results, we performed a sensitivity analysis in which one study at a time was removed to examine its individual influence on the pooled HR. Publication bias was evaluated using a funnel plot with Egger’s and Begg’s tests. P values < 0.05 were considered to indicate statistically significant publication bias. Additionally, ‘trim and fill’ analyses were used to evaluate the stability of our meta-analysis results if the plots were asymmetric [15]. All analyses were performed using the STATA software (er. 12.0; Stata Corp., College Station, TX, USA).

Results

Literature search and study characteristics

We identified 2046 potentially relevant articles through the search strategy described in Methods. As shown in Fig. 1, 2009 articles were excluded after the first screening based on the abstracts and/or titles, and 37 articles remained after reviewing their full texts for relevance. Seven articles were ultimately excluded, due to overlap with previously reported studies (n = 4) [1619], use of interventional treatments (n = 1) [20], a lack of survival data (n = 1) [21], or providing RFS other than OS/DFS in NSCLC (n = 1) [22]. Additionally, two of the articles could be divided into two studies [23, 24]. Thus, a total of 30 eligible articles [59, 2347] involving 32 studies were included in this meta-analysis. The flow diagram of the study selection procedure is presented in Fig. 1.

Fig. 1.

Fig. 1

Flow diagram of the relevant studies selection procedure

As demonstrated in Table 1, 5600 patients with related clinical data from a total of 6178 patients were enrolled in the 32 studies, which were published between 1993 and 2014. All 32 studies were retrospective. Of the 32 studies, 11 were conducted in Japan, five in America, four in China, four in Italy, two in Canada, two in Korea, and one each in Argentina, Brazil, the Czech Republic, and Germany. The case size of each study varied from 44 to 494 (median, 156) patients. The age of the patients ranged from 19 to 89, and the overall proportion of males was 66.11 %.

Table 1.

Characteristics of studies included in the final meta-analysis of Ki-67 expression and prognosis of NSCLC

First-Author and Year Country Total Patients, H/L Mean age Gender (M/F) History TNM Stage Antibody and dilution Cut-off (%) Followup (median Month) Survival Analysis, year HR estimated OS/DFS HR (95%CI) Study Quality
Ahn 2014 Korea 109,20/89 65 65/44 NSCLC I-III Anti-Ki67; 1:50 40 30 OS/DFS,5 S.urves O:1.60(0.74-3.44) D:2.875(1.326-6.234) 34
Cagini 2000x Italy 99,43/56 66 91/8 NSCLC I-II MIB-1; 1:100 20 41 OS, 5 Events O:1.33(0.72-2.43) 31
D’amico 1999 USA 408,204/204 62.9 269/139 NSCLC I MIB-1, NA 7 60 OS,5 Events O:1.41(0.99-2.00) 33
Demarchi 2000 Brazil 64,32/32 59.8 43/21 ADC I-III MIB-1; 1:400 22.2 51.9 OS,5 R O:0.49(0.20-1.22) 31
Fontanini 1996 Italy 65,31/34 46 63/7 NSCLC I-III MIB-1; 1:200 30.2 45 OS,3 R O:1.05(0.83-1.324) 34
Haga 2003 Japan 187,112/75 NA 120/67 ADC,SCC I MIB-1; 1:100 10 120 OS,5 Events O:3.636(1.267-10.439) 33
Harpole 1996 USA 275,109/106 63 177/98 NSCLC I Anti-Ki67; NA 7 68 OS, 5 Events O:1.53(1.00-2.37) 34
Hayashi 2001 Japan 98,36/62 62.7 56/42 ADC I-III MIB-1; 1:200 12.6 60 OS,5 R O:2.0(1.1-3.8) 29
Hommura 2000 Japan 215,116/99 63.3 144/71 NSCLC I-IV MIB-1; 1:50 30 84 OS,3 R O:2.53(1.35-4.72) 34
Huang 2005 Japan 173,117/56 67 116/57 NSCLC I-III MIB-1; 1:40 25 77 OS,5 Events O:1.56(0.99-2.44) 32
Ishida 1997 Japan 114,57/57 64.9 59/55 ADC I-II MIB-1; 1:50 22.7 28.5 OS,5 S.urves O:8.50(3.52-20.53) 32
Kaira 2008 Japan 361,186/135 67 196/125 NSCLC I-III MIB-1; 1:40 25 48 OS,5 R O:0.667(0.271-1.643) 32
Liu 2012a China 494,113/381 61 366/128 ADC,SCC I-IV Anti-Ki67; 1:200 50 25.9 OS,5 R O:1.583(1.100-2.277) 32
Liu 2012b China 174,88/79 60 133/41 ADC,SCC I-IV Anti-Ki67; 1:200 50 25 OS,5 R O:1.681(0.487-5.797) 32
Maddau 2006 Italy 180,103/77 65.5, 151/29 NSCLC I-III MIB-1; 1:50 25 3-47 OS,3 R O:0.79(0.55-1.15) 29
Mehdi 1998 USA 243,154/49 63.5 184/76 NSCLC I-II MIB-1; 1:150 25 60 OS/DFS,3 S.urves O:1.60(1.06-2.41) D:1.58(1.06-2.41) 36
Minami 2002 Japan 47,22/25 64 28/19 ADC I MIB-1; NA 20 89 OS,5 R O:1.022(0.96-1.08) 33
Navaratnam 2012a Canada 79,37/42 69.2 47/32 NSCLC I-II MIB-1; 1:50 20 36 OS,3 R O: 1.81(0.93-3.53) 30
Navaratnam 2012b Cadana 58,20/38 62.8 23/35 NSCLC I-II MIB-1; 1:50 10 36 OS,3 R O:1.31(0.68-2.52) 24
Nguyen 2000 Czech 89,34/55 60 73/16 NSCLC I-IV MIB-1; NA 30 36 OS,3 S.urves O:2.15(1.21-3.78) 28
Pence 1993 USA 61,15/46 63 56/5 NSCLC I-IV Anti-Ki67; 1:100 PI 3.5 38 OS,5 S. urves O:2.18(1.00-4.78) 29
Poleri 2003 Argentina 50,28/22 60.8 NA ADC,SCC I MIB-1; NA 33 59 DFS,5 Events D:4.10(1.98-8.46) 33
Puglisi 2002 Italy 81,28/53 62.5 NA ADC,SCC I-III MIB-1; 1:100 34.2 115.76 OS,5 R O: 1.29(0.71-2.31) 33
Ramnath 2001 USA 212,118/94 63.7 111/101 NSCLC I-IV MIB-1; 1:100 25 24.3 OS,3 S. Curve O:1.41(0.93-2.12) 31
Shiba 2000 Japan 156,81/75 62.4 112/44 NSCLC I-III MIB-1; 1:100 20 49 OS,5 S. Curve O:2.20(1.38-3.53) 34
Takahashi 2002 Japan 62,22/40 66.9 40/22 ADC,SCC I-II MIB-1; 1:100 25 3.9 DFS,5 R D:1.02(0.32-3.30) 33
Warth 2014 Germany 482,230/252 63.2 NA ADC I-IV MIB-1, 1:500 25 45.6 OS/DFS,5 S. Curve O:1.86(1.29-2.69) D:1.29(1.02-1.64) 29
Woo 2009 Japan 184,79/105 67.8 92/92 NSCLC I MIB-1; NA 10 35.9 DFS,5 R D:3.84(1.18-12.45) 34
Wu 2013 China 192,120/72 59 104/88 NSCLC I-III Anti-Ki67; 1:200 10 60 OS/DFS,5 R O:2.829(1.26-4.525) D:2.929(2.184-4.928) 32
Yamashita 2011 Japan 44,13/31 NA 25/19 NSCLC I Anti-Ki67; 1:100 5 60 DFS,5 R D:12.5(1.1-140.7) 33
Yoo 2007 Korea 219,17/209 65.8 168/51 ADC,SCC I-III Anti-Ki67; NA 30 38.9 OS,5 R O:0.827(0.319-2.140) 36
Zhong 2014 China 270,66/204 62 192/78 ADC,SCC I-III Anti-Ki67; 1:200 50 60 OS,5 R O:2.179(1.096-4.333) 34

Abbreviation: HR hazard ratio, CI confidence interval, OS overall survival, DFS disease-free survival, NSCLC non-small-cell Lung cancer, ADC adenocarcinoma, SCC squamous carcinoma, R Author reported, O, OS, D,DFS, H High expression, L Low expression, S. curve Survival curve

All studies included information on disease stage, and the proportion of stages I + II was 67.9 %. IHC was the only technique used to detect Ki-67 expression, using various antibodies and cut-off values (range, 5–50 %), and 2503 (44.70 %) tissue samples had ‘high’ Ki-67 expression (Table 1).

Of the 32 studies, 19 provided HR and 95 % CI values directly, whereas in the other 13 studies, they were calculated from available data (n = 6) or from Kaplan–Meier survival curves (n = 7), as described by Tierney [48]. Of the 32 studies, 20 identified high Ki-67 expression as an indicator of poor prognosis, whereas the remaining 12 studies showed no significant effect of high Ki-67 expression on survival outcome.

Methodological quality of the studies

The results of the quality assessment of the included studies are shown in Table 1. Quality scores ranged from 24 to 36, with a median value of 33. All of the studies satisfied most of the items and reported totals for the assay methods and confounders.

Correlation of high Ki-67 expression with OS in NSCLC

Of the 28 studies investigating the association between Ki-67 expression and OS, 14 involved Asian patients (n = 2729) and 14 involved non-Asian patients (n = 2287). The overall HR and 95 % CI for NSCLC patients was 1.59 (95 % CI 1.35–1.88, P < 0.001, n = 5007), with significant heterogeneity (I2 = 74.8 %, P < 0.001; Fig. 2, Table 2). Subgroup analyses showed that the risk was significant in both Asian and non-Asian patients (HR 1.97, 95 % CI 1.43–2.71, P < 0.001 and HR 1.37, 95 % CI 1.15–1.64, P = 0.013, respectively) with significant heterogeneity (I2 = 82.1 %, P < 0.001 and I2 = 74.0 %, P < 0.001, respectively).

Fig. 2.

Fig. 2

The hazard ratio (HR) of Ki-67 expression associated with OS in all NSCLC patients. HR > 1 implied worse OS for the group with high Ki-67 expression

Table 2.

HR values of OS and DFS of NSCLC subgroups

Outcome Studies (n) Patients HR 95%CI P value Model H, I2, P value
OS All study 28 4534 1.58 1.33-1.87 0.000 Random 100.02,74.0 %,0.000
Asian 14 2729 1.97 1.43-2.71 0.000 Random 72.62,82.1 %,0.000
Non-Asian 14 2278 1.37 1.15-1.64 0.013 Random 22.99,74.0 %,0.000
Stage I 8 1144 1.85 1.27-2.69 0.001 Random 32.90,78.7 %,0.000
Stage I-II 8 1166 1.72 1.20-2.46 0.003 Random 29.43,76.2 %,0.000
Stage I-III 7 1038 1.60 1.21-2.12 0.001 Fixed 9.44, 36.5 %,0.150
Stage III-IV 1 58 1.31 0.68-2.53 0.42 Fixed -
ADC 10 1327 2.21 1.38-3.50 0.000 Random 64.38,86.0 %,0.000
Asian 6 666 3.01 1.96-4.02 0.000 Random 8.70,42.5 %,0.122
Non-Asian 4 661 1.31 0.74-2.33 0.359 Random 18.38,83.7 %,0.000
Stage I-II 6 446 3.30 1.37-7.96 0.008 Random 45.94,89.1 %,0.000
Stage I-III/IV 4 881 1.51 0.92-2.47 0.102 Random 7.75,761.3 %,0.051
Non-ADC 2 184 1.88 0.88-4.01 0.105 Fixed -
DFS All study 8 1326 2.21 1.43-3.43 0.000 Random 28.35,75.3 %,0.000
Asian 5 591 2.78 1.78-4.34 0.000 Random 4.67,14.4 %,0.323
Non-Asian 3 735 1.83 1.09-3.06 0.022 Random 48.95,77.7 %,0.01
Stage I 3 293 4.31 2.37-7.84 0.000 Fixed 0.79,0.0 %,0.672
Stage I-II 2 265 1.51 1.02-2.23 0.038 Fixed 0.48,0.0 %,0.486
Stage I-III/IV 3 783 2.02 0.97-4.20 0.06 Random 11.69, 82.9 %, 0.0.06

Abbreviation: ADC adenocarcinoma, CI confidence interval, DFS disease-free survival, Fixed, Fixed, Inverse Variance model, H Heterogeneity, HR hazard ratio, I2 I-squared, OS overall survival, Random, Random, I-V heterogeneity model

Next, subgroups including TNM stage (eight studies for stage I, eight for stages I–II, seven for stages I–III, and one for stages III–IV) and type of NSCLC (10 studies for ADC and two for non–ADC) were analyzed. The analyses indicated that high Ki–67 expression was associated with a shorter OS in stage I, stages I–II, and stages I–III patients (HR 1.85, 95 % CI 1.27–2.69, P = 0.001; HR 1.72, 95 % CI 1.20–2.46, P = 0.003; and HR 1.60, 95 % CI 1.21–2.12, P = 0.001, respectively) with heterogeneity (I2 = 78.7 %, P < 0.001; I2 = 76.1 %, P < 0.001; and I2 = 36.5 %, P = 0.001, respectively), but no association with shorter OS was observed in patients in stages III–IV (HR 1.31, 95 % CI 0.68–2.53, P = 0.42).

Another subgroup analysis (ADC vs. non–ADC) demonstrated that the ADC group showed a significant association between high Ki–67 expression and shorter OS (HR 2.21, 95 % CI 1.38–3.50, P < 0.001). However, the association was not significant in the non-ADC group (HR 1.88, 95 % CI 0.88–4.01, P = 0.105). Additionally, only Asian patients (vs. non-Asian patients) and the early-stage group (stages I–II vs. advanced stage) in the ADC group demonstrated significant associations between high Ki–67 expression and shorter OS. The combined HRs were 3.01, 95 % CI 1.96–4.02, P < 0.001 and 3.30, 95 % CI 1.37–7.96, P = 0.008, respectively. Non-Asian ADC patients and ADC patients at advanced stages of the disease showed no significant association between high Ki–67 expression and OS (HR 1.88, 95 % CI 0.88–4.01, P = 0.359 and HR 1.51, 95 % CI 0.92–2.47, P = 0.102, respectively).

Correlation of high Ki-67 expression with OS in NSCLC using different cut-off values

Subgroup analysis demonstrated that the risks between Ki–67 expression and OS were not significant using different Ki-67 cut–off values (10 %, 25 %, 50 %). The pooled HRs and 95 % CIs were as follows: 1.80 (95 % CI 1.20–2.70) vs. 1.53 (95 % CI 1.28–1.84) for a cut–off value of 10 %, 1.57 (95 % CI 1.27–1.95) vs. 1.60 (95 % CI 1.22–2.08) for a cut–off value of 25 %, and 1.56 (95 % CI 1.30–1.86) vs. 1.72 (95 % CI 1.27–2.33) for a cut–off value of 50 % with significant heterogeneities (Additional file 4: Table S2, Additional file 5: Figure S1, Additional file 6: Figure S2 and Additional file 7: Figure S3).

Correlation between high Ki-67 expression and DFS in NSCLC

The pooled HR and 95 % CI for DFS provided in eight studies was 2.21, 95 % CI 1.43–3.43, P < 0.001, with heterogeneity (I2 = 75.3 %, P < 0.001; Fig. 3, Table 2). Subgroup analysis showed that the risk in Asian patients was higher than that in non-Asian patients, and the combined HRs and 95 % CIs were as follows: HR 2.78, 95 % CI 1.78–4.34, P < 0.001 and HR 1.83, 95 % CI 1.09–3.06, P = 0.022, respectively. Further subgroup analysis indicated that the very early stage (stage I) showed the highest risk, when compared with stages I–II or I–III, with the following combined HRs and 95 % CIs: HR 4.31, 95 % CI 2.37–7.84, P < 0.001; HR 1.51, 95 % CI 1.02–2.23, P = 0.038; and HR 2.02, 95 % CI 0.97–4.20, P < 0.06, respectively.

Fig. 3.

Fig. 3

The hazard ratio (HR) of Ki-67 expression associated with DFS in all NSCLC patients. HR > 1 implied worse OS for the group with high Ki-67 expression

Association between high Ki-67 expression and the clinicopathological characteristics of NSCLC

In this meta-analysis, clinicopathological features, such as age, gender, smoking habits, pathological type, lymph node status, and tumor differentiation grade, as impacted by increased Ki-67 expression were compared on the basis of the 32 studies. The results of the meta-analysis showed significant associations between high Ki-67 expression and being male, smoking habits, being a non-ADC patient, higher tumor stage (T2-4) and poorer differentiation grade (moderate or poor); the combined ORs and 95 % CIs were as follows: OR 1.89, 95 % CI 1.53–2.33, P < 0.001; OR 2.20, 95 % CI 1.72–2.82, P < 0.000; OR 1.88, 95 % CI 1.60–2.22, P < 0.001; OR 1.46, 95 % CI 1.13–1.88, P = 0.004; and OR 1.47, 95 % CI 1.15–1.88, P = 0.002, respectively. Moreover, significant associations between Ki–67 and gender (male), being a non-ADC patient, higher tumor stage, and poorer differentiation were seen only in Asian NSCLC patients. The combined ORs and 95 % CIs were as follows: OR 2.18, 95 % CI 1.67–2.81, P < 0.001; OR 2.22, 95 % CI 1.82–2.70; OR 1.47, 95 % CI 1.12–1.94, P = 0.006; and OR 1.50, 95 % CI 1.15–1.94, P = 0.002, respectively (Table 3).

Table 3.

OR values for NSCLC subgroups according to clinical characteristics

Outcome of interest Studies Patients OR 95%CI P value Model H, I2, P value
Age (>60 vs. <60) n = 6 1531 1.08 0.85-1.37 0.553 Fixed 5.37,6.9 %,0.37
Gender (Male vs. Female) n = 11 2696 1.89 1.53-2.33 0.000 Fixed 10.52,5.0 %,0.40
Asian n = 8 1933 2.18 1.67-2.81 0.000 Fixed 5.97,0.0 %,0.54
Non-Asian n = 3 763 1.38 0.96-1.99 0.084 Fixed 0.97,0.0 %,0.61
Smoke habits
(Smoke vs. Non-smoke)
n = 7 1785 2.20 1.72-2.82 0.000 Fixed 4.77,0.0 %,0.57
Non-ADC vs. ADC n = 15 3185 1.88 1.60-2.22 0.000 Fixed 17.13,18.3 %,0.25
Asian n = 10 2345 2.22 1.82-2.70 0.000 Fixed 3.81,0.0 %,0.92
Non-Asian n = 5 840 1.31 0.98-1.75 0.073 Fixed 4.74,15.6 %,0.32
T 2-4 vs T 1 n = 9 2156 1.46 1.13-1.88 0.004 Fixed 3.13,0.0 %,0.93
Asian n = 7 1938 1.47 1.12-1.94 0.006 Fixed 2.86,0.0 %,0.83
Non-Asian n = 2 218 1.37 0.71-2.65 0.349 Fixed 0.23,0.0 %,0.63
N 1-3 vs N 0 n = 11 2443 1.01 0.83-1.22 0.927 Fixed 10.73,6.8 %,0.38
Differentiation (well vs. moderate/poor) n = 9 2029 1.47 1.15-1.88 0.002 Fixed 6.04,0.0 %,0.64
Asian n = 7 1837 1.50 1.15-1.94 0.002 Fixed 5.14,0.0 %,0.53
Non-Asian n = 2 192 1.28 0.60-2.74 0.517 Fixed 0.81,0.0 %,0.37

Abbreviation: ADC adenocarcinoma, CI confidence interval, Fixed, Fixed, Inverse Variance model, H Heterogeneity, I2 I-squared, OR,odds Ratio

There was no significant association between Ki–67 expression and age (>60 vs. < 60) or lymph node status (N1–3 vs. N0); the combined ORs and 95 % CIs were OR 1.08, 95 % CI 0.85–1.37, P = 0.553 and OR 1.01, 95 % CI 0.83–1.22, P = 0.927, respectively (Table 3).

Sensitivity analysis

Sensitivity analysis showed that the pooled HRs of OS and DFS were similar to those calculated after one study was removed and the rest were reanalyzed (Additional file 8: Figure S4 and Additional file 9: Figure S5). Moreover, the HR remained unchanged (HR 1.86, 95 % CI 1.44–2.28, P < 0.001 and HR 2.74, 95 % CI 1.25–4.22, P < 0.001, respectively) after the ‘trim and fill’ method was used (Additional file 10: Figure S6 and Additional file 11: Figure S7). Additionally, we report the combined HR and 95 % CI results of the fixed effects model: pooled HR 1.86, 95 % CI 1.44–2.28, P < 0.001 for OS and pooled HR 1.52, 95 % CI 1.08–1.96, P < 0.001 for DFS. These values were consistent with the random-effects model. Both analyses support the reliability of our results.

Publication bias

Begg’s test indicated no publication bias among the studies included in the current meta-analysis regarding the HRs of OS and DFS, with P values of 0.395 and 0.902, respectively. Egger’s test indicated no publication bias for DFS (P = 0.34), but it showed seemingly significant publication bias for OS after assessing the funnel plot (P < 0.001; Fig. 4).

Fig. 4.

Fig. 4

Funnel Plots of Begg’s and Egger’s were used to detect publication bias on OS and DFS. Begg’s funnel plots showed seemingly publication bias on OS (A) while Egger’s funnel plots showed no publication bias on OS in all NSCLC. It showed no publication bias on DFS in Begg’s test (C) and Egger’s test (D)

Discussion

Ki-67 is a nuclear non-histone protein first identified 30 years ago [2]. Because it is expressed during all phases of the cell cycle except the resting stage (G0), it has been used as a marker to evaluate proliferation in NSCLC [5, 9, 33, 44], as well as in other tumors, such as lymphoma [13], esophageal cancer [49], breast cancer [10], and prostate cancer [50]. Nonetheless, studies examining the relationship between Ki-67 expression and NSCLC prognosis have been inconsistent [33, 35, 42, 45].

Meta-analytic techniques using non-randomized controlled trials (NRCTs) may be useful in certain clinical settings where the number or the sample size of the RCTs is insufficient [48]. The results of the current meta-analysis revealed that high Ki-67 expression in patients with NSCLC was associated with a poorer prognosis for OS (HR 1.59, 95 % CI 1.35–1.88, P < 0.001), consistent with a previous meta-analysis, published in 2004 [2], but in this case with nearly three–fold as many patients and double the number of studies. In addition, it was first reported that high Ki-67 expression in NSCLC patients was associated with a poor survival outcome for DFS (combined HR 2.21, 95 % CI 1.43–3.43, P < 0.001). Sensitivity analysis suggested that the association between high Ki-67 expression and NSCLC prognosis was stable and unchanged after removing any one study. Also, the results of the current meta-analysis show that high Ki-67 expression was more common in males (OR = 1.89, P < 0.001), smokers (OR = 2.20, P < 0.001), those in later tumor stages (OR = 1.46, P = 0.004), or those with poorer differentiation (OR = 1.47, P = 0.002), which has been linked to more aggressive tumors. Overall, the results of the current meta-analysis suggest that increased Ki-67 expression exerts a significantly adverse effect on the prognosis of NSCLC patients. To our knowledge, this study is the most comprehensive and detailed meta-analysis to evaluate the association between Ki-67 expression and survival in NSCLC patients.

NSCLC is a malignancy displaying substantial heterogeneity, and the clinical and biological characteristics of the different subtypes of NSCLC vary substantially [51]. In this meta-analysis, high Ki-67 expression was a valuable indicator both of OS and DFS for ADC; this is consistent with the latest large-scale study conducted by Warth and colleagues, which included 1482 patients [47]. Furthermore, higher Ki-67 expression was a more valuable indicator for early (stages I–II) NSCLC and early (stages I–II) ADC. However, it showed no association between survival and being a non-ADC patient, with a HR of 1.88 and a 95 % CI of 0.88–4.01 for OS. Due to the strict inclusion criteria, only two studies in the current meta-analysis were included, and several studies without enough survival data were excluded. However, several types of non-ADC including squamous cell carcinoma (SQCC), large cell lung carcinoma (LCC), and bronchial gland carcinoma (BGC) may make it difficult to obtain reliable results. The association between high Ki-67 expression and survival outcome in non-ADC patients still requires further investigation.

It was reported that Asian ethnicity is a favorable prognostic factor for OS in NSCLC and is independent of smoking status [52, 53]. However, no data regarding the impact of Ki-67 and race/ethnicity on the outcome of NSCLC patients are available. Subgroup analysis in this study showed that higher Ki-67 expression indicated a poorer outcome in Asian NSCLC patients compared with non-Asian patients (HR 1.97, 95 % CI 1.43–2.71 vs. HR 1.37, 95 % CI 1.15–1.64 for OS and HR 2.78, 95 % CI 1.78–4.34 vs. HR 1.83, 95 % CI 1.09–3.06 for DFS). To date, there has been no consensus regarding the significance of Ki-67 in NSCLC in Asian versus non-Asian NSCLC patients. In the current study, a strong relationship was established between poor prognostic indicators and Ki-67 expression only in Asian patients. In addition, high Ki-67 expression was associated with larger tumor size and differentiation, which is in line with previous studies [2]. Furthermore, we found higher Ki-67 expression levels in Asian patients compared with non-Asian patients (31.39 % vs. 26.77 %, Additional file 12: Table S3), whereas no positive patients/total patients ratio differences were demonstrated (44.91 % vs. 47.18, P = 711). Therefore, the alteration of Ki-67 expression may contribute to the differences in the tumor biology observed between Asian and non-Asian patients with NSCLC. Although, future validation and investigations are needed, these data may provide new insights into biological aggressiveness of NSCLC in Asian versus in non-Asian patients.

Heterogeneity was significant in this meta-analysis, and it could not be ruled out by using a random-effects model or multiple subgroup analyses. For reasons of homogeneity, we analyzed only the studies dealing with NSCLC histology and restricted the analysis to the histological subtypes or tumor stages for which we had sufficient numbers of studies. Furthermore, the technique(s) used to identify the expression of Ki-67 can be a potential source of bias. The use of different antibodies (anti-Ki67 mAb or anti-MIB-1 mAb) and a protocol to count the number of cells stained by these antibodies without a received standard antibody concentration may yield variation among the studies. Moreover, the cut-off value used to define a tumor with ‘positive’ Ki-67 staining is often arbitrary and varies according to the investigator, from a low percentage to more than 50 %. Martin et al. [2] introduced two cut-off levels for defining Ki-67 expression in tumors, one to exclude patients with slowly proliferating tumors due to chemotherapeutic protocols (10 %) and one to identify patients sensitive to chemotherapy protocols (25 %). In addition, Warth et al. introduced 50 % as the cut-off value for defining Ki-67 expression in SQCC [47]. In this study, the adverse effect of high Ki-67 expression on OS showed similar results using these three recommended cut-off values (Additional file 4: Table S2, Additional file 5: Figure S1, Additional file 6: Figure S2 and Additional file 7: Figure S3). Nonetheless, a consensus for the optimal cut-off value for Ki-67 needs to be reached and validated in NSCLC patients in future studies.

It is important to note that the current study encountered difficulties, similar as most meta-analysis. First, it was based on summary data rather than data from individual patients. Therefore, multivariate analyses for confounding factors such as histological subtypes, gender and smoking status were not performed. A meta-regression model that adjusted for those factors that were found to be correlated with high K-67 levels was also not performed, too. Second, our search was limited to published studies and excluded unpublished trials or results in abstract form, which may have led to publication bias. Third, the unequal number of studies from Asian countries, with data derived mainly from Japan, China, and Korea may have also been a source of bias. Hence, our analysis may reflect outcomes from East Asia rather than from Asia in general.

There are several advantages to this study. First, large numbers (32 studies and 5600 patients) were analyzed, whereas only 17 studies and 1863 NSCLC patients were considered in the meta-analysis published in 2004. Second, important clinical parameters including age, gender, tumor stage, histology, and race/ethnicity were included in the analysis. The association between high Ki-67 expression and DFS was also investigated. However, as several limitations still exist, the results need to be interpreted cautiously. First, the number of included studies and included NSCLC patients were relatively small. Moreover, heterogeneity was inevitable among the groups due to the impossibility of matching patient characteristics across all studies. This may have weakened the results to some extent. Second, publication bias was unavoidable for clinical evidence, because the relevant data were extracted from non-randomized controlled trials. Third, reports in languages other than English were excluded; therefore, potential language bias may have been present. Lastly, some data for OS were extracted from survival curves or other available data rather than provided directly. Although the method used for extrapolation of HRs and 95 % CIs is widely accepted and we did not identify any major differences in current study (Additional file 13: Figure S8), we could not completely eliminate inaccuracy in the extracted survival rates.

Conclusions

Despite these limitations, our systematic review of the literature showed that high expression of Ki-67 in NSCLC patients, particularly during the early stages (stages I–II), in Asians, and in ADC patients is a poor prognostic indicator for survival outcome. Further adequately designed prospective studies with standardization of the immunohistochemistry technique, especially standardization of the cut-off threshold value, need to be conducted to confirm these results.

Acknowledgement

This work was supported by a grant from National Natural Science Foundation of China (#81401460, #91029720 and #81260238), Cultivation of High-level Innovation Health Talents of ZheJiang (#2012-241), grant from Natural Science Foundation of Jiangxi Province (#20151522070010, #20151122070030), grant from health and family planning of Jiangxi Province (#20155294) and Natural Science Foundation of Second Affiliated Hospital, Nanchang University (#2014YNQN12015).

Abbreviations

LC

Lung cancer

NSCLC

Non-small cell lung cancer

ADC

Adenocarcinoma

BGC

Bronchial gland carcinoma

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

IHC

Immunohistochemistry

OS

Overall survival

DFS

Disease-free survival

HR

Hazard ratio

CI

Confidence interval

OR

Odds ratio

Additional files

Additional file 1: (63KB, doc)

PRISMA 2009 checklist in current meta-analysis.

Additional file 2: (58KB, doc)

Based on the editor's work. PRISMA 2009 Flow Diagram in current meta-analysis.

Additional file 3: Table S1. (28KB, doc)

Definitions of 18 items of study reporting quality.

Additional file 4: Table S2. (35KB, doc)

HR values of OS of NSCLC subgroups depended on cutoff value.

Additional file 5: Figure S1. (6.4MB, tiff)

The hazard ratio (HR) of Ki-67 expression associated with overall survival (OS) in all NSCLC patients subgroup (cutoff value >10 % and cutoff value <10 %).

Additional file 6: Figure S2. (203.1KB, tiff)

The hazard ratio (HR) of Ki-67 expression associated with overall survival (OS) in all NSCLC patients subgroup (cutoff value >25 % and cutoff value <25 %).

Additional file 7: Figure S3. (5.7MB, tiff)

The hazard ratio (HR) of Ki-67 expression associated with overall survival (OS) in all NSCLC patients subgroup (cutoff value >50 % and cutoff value <50 %).

Additional file 8: Figure S4. (1.9MB, tiff)

Sensitivity analysis of all the studies assessing OS.

Additional file 9: Figure S5. (1.9MB, tiff)

Sensitivity analysis of all the studies assessing DFS.

Additional file 10: Figure S6. (624.2KB, tiff)

Trim and fill analysis of all the studies assessing OS.

Additional file 11: Figure S7. (585.6KB, tiff)

Trim and fill analysis of all the studies assessing DFS.

Additional file 12: Table S3. (25KB, doc)

Comparisons of Ki-67 expression in NSCLC between Asian and Non-Asian Studies.

Additional file 13: Figure S8. (5.7MB, tiff)

The hazard ratio (HR) of Ki-67 expression associated with OS in all NSCLC patients subgroup (NA: HR and 95%CI extracted from articles; R: HR and 95%CI provided directly).

Footnotes

Song Wen, Wei Zhou and Chun-ming Li contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The authors’ contributions are as follows: SW and PC were responsible for the concept and design of the study. SW and WZ searched the databases according to the inclusion and exclusion criteria. CL,JH and XH helped extract quantitative data from papers. SW and WH analyzed the data. SW and GS wrote the manuscript. PC and WH reviewed and edited the manuscript extensively. All of the authors were involved in interpretation of results and revision of the manuscript and approved the final version of the manuscript.

Contributor Information

Song Wen, Email: songwen81@163.com.

Wei Zhou, Email: zhouw11a@sina.com.

Chun-ming Li, Email: 422784401@qq.com.

Juan Hu, Email: 283205287@qq.com.

Xiao-ming Hu, Email: xiaominghuefy@163.com.

Ping Chen, Email: wenscp2014@126.com.

Guo-liang Shao, Phone: +86057188122515, Email: shaoguoliang666@hotmail.com.

Wu-hua Guo, Phone: +86079186301760, Email: guowuhuadoctor@126.com.

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