# Impact of S100A4 Expression on Clinicopathological Characteristics and Prognosis in Pancreatic Cancer: A Meta-Analysis

Authors: Shanshan Huang; Jiawei Zheng; Yufang Huang; Li Song; Yin Yin; Danzhen Ou; Shangxiang He; Xiong Chen; Xuenong Ouyang
Journal: Disease Markers
 (2016)

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## Abstract

Background. The small Ca2+-binding protein S100A4 is identified as a metastasis-associated or metastasis-inducing protein in various types of cancer. The goal of this meta-analysis was to evaluate the relationship between S100A4 expression and clinicopathological characteristics and prognosis of patients with pancreatic cancer.Methods. A comprehensive literature search was carried out in the electronic databases PubMed and Chinese CNKI. Only the studies reporting the correlation between S100A4 expression and clinicopathological characteristics or overall survival (OS) of patients with pancreatic cancer are enrolled. Extracted data was analyzed using the RevMan 5.3 software to calculate the pooled relative risks (95% confidence interval, CI) for statistical analyses.Results. Seven studies including a total of 474 patients were enrolled into this meta-analysis. Negative expression of S100A4 was significantly associated with higher 3-year OS rate (RR = 3.92, 95% CI = 2.24–6.87, P
<
0.0001), compared to S100A4-positive cases. Moreover, negative expression of S100A4 was also related to N0 stage for lymph node metastasis (RR = 2.15, 95% CI = 1.60–2.88, P
<
0.0001). However, S100A4 expression was not significantly correlated with histological types and distant metastasis status.Conclusion. S100A4 expression represents a potential marker for lymph node metastasis of pancreatic cancer and a potential unfavorable factor for prognosis of patients with this disease.


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## Body

## 1. Introduction

Pancreatic cancer (PC) is one of the most aggressive and highly lethal types of cancer worldwide. The 5-year survival rate of patients with PC is less than 5%, and only 15–20% PC patients are eligible for curative surgery when they are first diagnosed [1, 2]. This poor outcome is mainly due to its high propensity for locoregional invasion and early development of distant metastases [3]. In addition, lack of biomarker for tumor metastasis as a prognostic indicator of PC patients also represents a major contributor to the high mortality of this malignancy. While the tumor marker carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) often correlate with therapeutic response and tumor recurrence, they have neither sensitivity nor specificity [4]. Therefore, the identification of valid, reliable biomarkers for the prediction of the prognosis of PC patients is of great importance for clinical management of this disease.S100 protein, as it is named, was first identified in the S100 soluble fractions purified from bovine brain [5]. Later, S100 proteins were characterized as a family of multiple calcium-binding proteins that contain two EF-hand Ca2+-binding motifs, which are involved in a variety of physiological functions via calcium-dependent interaction with numerous target proteins [6]. Of note, whereas S100 proteins are commonly upregulated in many cancers, the S100 family also plays important roles in tumor progression of various types of cancer [7]. S100A4 (also named as calvasculin, mts-1, pEL-98, 18A2, p9Ka, CAPL, Fspl, etc.), a member of the S100 protein family, was defined to be engaged in tumor invasion and metastasis [8], but not oncogenesisper se as S100A4 transgenic mice do not develop tumor. Such a distinct feature of S100A4 in promoting tumor metastasis, thereby also known as metastasin [7], makes it a strong candidate as a biomarker for predicting disease progression, particularly tumor metastasis, and clinical prognosis [9]. Indeed, S100A4 is highly expressed in many types of cancer such as breast cancer [10, 11] and particularly gastrointestinal cancers, including colorectal [12–14], gastric [15, 16], esophageal [17, 18], and pancreatic cancer [19]. Moreover, S100A4 expression has correlated with tumor metastasis and poor prognosis of patients with several types of cancer [15, 20, 21], including PC [22].However, unlike colorectal [12], gastric [23, 24], lung cancer [25], no meta-analysis, to the best of our knowledge, has been carried out so far to analyze the relationship between S100A4 and clinical outcomes of patients with PC. Here, we report a meta-analysis of the current literatures to address correlation between S100A4 expression and clinicopothological features or patient survival in PC.


## 2. Materials and Methods

### 2.1. Search Strategy

A comprehensive literature search was performed using the electronic databases PubMed and Chinese CNKI. The search strategy used for PubMed was “(pancreatic cancer [Title/Abstract]) OR (pancreatic carcinoma [Title/Abstract]) OR (pancreatic neoplasms [Title/Abstract]) OR ((“Neoplasms”[Mesh]) AND (“Pancreatic Neoplasms” [Mesh]))” AND “(S100A4 [Title/Abstract]) OR (S100 [Title])”. There was no limitation on race/ethnicity, gender, or language or year of publication. A similar search strategy in Chinese terms was used for CNKI.


### 2.2. Selection Criteria

The studies were eligible only if they investigated S100A4 expression in primary PC tissue (surgical or biopsy) of patients and if they met at least one of the following two criteria: (a) used overall survival (OS) as an endpoint and (b) used clinicopathological characteristics as investigative parameters. The studies were excluded if their data was not sufficient to determine an estimate of pooled relative risk (RR) and 95% confidence interval (CI). If there were multiple or overlapped publications on the same patient population, only the one(s) reported in English or most recently were included.


### 2.3. Data Extraction

Two authors (Shanshan Huang and Jiawei Zheng) independently performed filtering and quality assessment of the selected literatures. Disagreement was resolved through independently extracting data from the original article by the third author (Yufang Huang), and consensus was reached by discussion. The following data were extracted from each selected study: first author’s last name, year of publication, country of the population studied, number of cases, cutoff value for the definition of S100A4-positive expression, duration of follow-up, N category of lymph node metastasis, M category for distant metastasis, tumor histology, and S100A4 expression-related OS rate. For the articles in which prognosis was plotted only as the Kaplan-Meier curves, the Engauge Digitizer V4.1 (http://getdata-graph-digitizer.com/) was then used to extract survival data.


### 2.4. Statistical Analysis

The RevMan 5.3 software (Cochrane Collaboration) was employed to perform the meta-analysis. Comparison of dichotomous measures was made to estimate the pooled relative risk (RR) and its 95% confidence interval (CI). Statistical heterogeneity was assessed using the Chi-square test andI-square test. According to the absence of presence of heterogeneity, random effects model or fixed effects model was used to merge the RR, respectively. Sensitivity analysis was conducted to determine if certain single article could influence the overall result. Due to the small number (<10) of the studies eligible for the meta-analysis, publication bias was not assessed.


## 2.1. Search Strategy

A comprehensive literature search was performed using the electronic databases PubMed and Chinese CNKI. The search strategy used for PubMed was “(pancreatic cancer [Title/Abstract]) OR (pancreatic carcinoma [Title/Abstract]) OR (pancreatic neoplasms [Title/Abstract]) OR ((“Neoplasms”[Mesh]) AND (“Pancreatic Neoplasms” [Mesh]))” AND “(S100A4 [Title/Abstract]) OR (S100 [Title])”. There was no limitation on race/ethnicity, gender, or language or year of publication. A similar search strategy in Chinese terms was used for CNKI.


## 2.2. Selection Criteria

The studies were eligible only if they investigated S100A4 expression in primary PC tissue (surgical or biopsy) of patients and if they met at least one of the following two criteria: (a) used overall survival (OS) as an endpoint and (b) used clinicopathological characteristics as investigative parameters. The studies were excluded if their data was not sufficient to determine an estimate of pooled relative risk (RR) and 95% confidence interval (CI). If there were multiple or overlapped publications on the same patient population, only the one(s) reported in English or most recently were included.


## 2.3. Data Extraction

Two authors (Shanshan Huang and Jiawei Zheng) independently performed filtering and quality assessment of the selected literatures. Disagreement was resolved through independently extracting data from the original article by the third author (Yufang Huang), and consensus was reached by discussion. The following data were extracted from each selected study: first author’s last name, year of publication, country of the population studied, number of cases, cutoff value for the definition of S100A4-positive expression, duration of follow-up, N category of lymph node metastasis, M category for distant metastasis, tumor histology, and S100A4 expression-related OS rate. For the articles in which prognosis was plotted only as the Kaplan-Meier curves, the Engauge Digitizer V4.1 (http://getdata-graph-digitizer.com/) was then used to extract survival data.


## 2.4. Statistical Analysis

The RevMan 5.3 software (Cochrane Collaboration) was employed to perform the meta-analysis. Comparison of dichotomous measures was made to estimate the pooled relative risk (RR) and its 95% confidence interval (CI). Statistical heterogeneity was assessed using the Chi-square test andI-square test. According to the absence of presence of heterogeneity, random effects model or fixed effects model was used to merge the RR, respectively. Sensitivity analysis was conducted to determine if certain single article could influence the overall result. Due to the small number (<10) of the studies eligible for the meta-analysis, publication bias was not assessed.


## 3. Results

### 3.1. Study Selection

As shown in Figure1, 58 records were initially retrieved using the predefined search strategy. After browsing the retrieved titles and abstracts, 44 records were excluded due to no relevant endpoint provided. The remaining 14 records were downloaded as full-text and carefully accessed one by one. Among them, 6 studies were excluded, including one that only examined S100A4 expression at mRNA level [32], one that did not analyze the relation between S100A4 expression and OS or clinicopathological features [33], and four duplicated reports on the same study population [29, 34–36]. As a result, 8 published studies met the inclusion criteria. However, when performing data extraction, one eligible study [37] was further excluded due to low quality of the study (e.g., inconsistency of data) and publication that caused failure of extracting survival rate from the Kaplan-Meier curve presented. Therefore, 7 studies including 474 patients who were all diagnosed as pancreatic ductal adenocarcinoma (PDAC) were finally selected for the meta-analysis.Figure 1
Flow chart for selection of the included studies.


### 3.2. Study Characteristics

Characteristics of 7 selected studies [19, 26–28, 30, 31, 38] were summarized in Table 1. Among them, 4 studies were published in English while 3 in Chinese. Of note, all studies were conducted in Asian patient population, including 1 in Korea, 2 in Japan, and 4 in China. For the methods used to detect S100A4 expression, 5 studies performed immunohistochemical analysis on whole tissue sections, and the other 2 used tissue microarray [19, 28]. S100A4 positivity was defined by both distribution of positively stained cells and intensity of staining in 5 studies, but one only by distribution of positively stained cells [19], while one did not provide the definition for S100A4 positivity [26].Table 1
Characteristics of the included studies (P: S100A4-positive; N: S100A4-negative; NA: not available).
Author
Year
Country
Number of patients
Duration of follow-up
⁢Cutoff scores (positive/negative)
N category (N0/N1)
Distant metastasis (M0/M1)
Histology (well, mod/Por)
3-year OS rate
Oida et al. [26]
2006
Japan
72
NA
>NA (40/32)
P (5/35)N (7/25)
P (24/16)N (20/12)
P (37/3)N (27/5)
P 7.5% (3/40)N 31.3% (10/32)
Ai et al. [27]
2008
China
62
NA
Score⩾ 2 (38/24)
P (5/33)N (8/16)
P (23/15)N (16/8)
P (21/17)N (11/13)
P 2.1% (1/38)N 20.8% (5/24)
Tsukamoto et al. [19]
2013
Japan
83
NA
>5% (48/35)
P (12/36)N (12/23)
NA
P (38/10)N (32/3)
P 10.4% (5/48)N 17.1% (6/35)
Lee et al. [28]
2014
Korea
67
Median 16.9 months
Score⩾ 2 (36/31)
NA
NA
NA
P 11.1% (4/36)N 35.5% (11/31)
Jia [29]
2011
China
63
4–36 months
Score⩾ 2 (47/16)
P (14/33)N (12/4)
P (31/16)N (16/10)
P (32/15)N (15/1)
P 0% (0/47)N 37.5% (6/16)
Liu [30]
2011
China
82
NA
Score⩾ 2 (57/25)
P (16/41)N (16/9)
NA
P (37/20)N (24/1)
NA
Liu [31]
2004
China
45
NA
>20% (21/24)
P (3/18)N (12/12)
NA
P (10/11)N (20/4)
NA


### 3.3. S100A4 Expression and 3-Year OS of Patients with PDAC

Overall, 3-year OS rate was reported either directly or by the Kaplan Meier curves in 5 studies including 347 patients. Notably, the meta-analysis revealed that, S100A4-negative expression was significantly associated with better 3-year OS rate, compared to its positive counterpart (Figure2, RR = 3.92, 95% CI = 2.24–6.87, P
<
0.00001, fixed effects model), with 3.92-fold higher 3-year OS rate of patients with S100A4-negativeversus S100A4-positive PDAC tumors.Figure 2
Relation between S100A4 expression and 3-year OS rate. Comparison was made between S100A4-negative and S100A4-positive expression for 3-year OS rate.


### 3.4. S100A4 Expression and Clinicopathological Features of PDAC

6 studies reported data on the relation between S100A4 expression and N category of PDAC tumor. There was a significant association between S100A4-negative expression and N0 lymph node metastasis (Figure3(a), RR = 2.15, 95% CI = 1.60–2.88, P
<
0.00001, fixed effects model). However, S100A4 expression was not related to distant metastasis (Figure 3(b), RR = 1.23, 95% CI = 0.94–1.62, P
=
0.13, random effects model) in 3 eligible studies or tumor histology (Figure 3(c), RR = 1.21, 95% CI = 0.99–1.47, P
=
0.07, random effects model) in 7 eligible studies.Figure 3
Relation between S100A4 expression and clinicopathological features of PDAC. (a) Relation between S100A4 expression and lymph node metastasis (N category). Comparison was made between S100A4-negative and S100A4-positive expression for N0 status. (b) Relation between S100A4 expression and distant metastasis (M category). Comparison was made between S100A4-negative and S100A4-positive expression for M0 status. (c) Relation between S100A4 expression and tumor histology. Comparison was made between S100A4-negative and S100A4-positive expression for well or moderately differentiated tumor cells.
(a)
(b)
(c)


### 3.5. Sensitivity Analysis and Publication Bias

Sensitivity analyses were further performed to determine the robustness of the results described above. For the statistically significant correlations between S100A4 expression and the 3-year OS rate or N0 lymph metastasis, the results were not altered by deletion of any single study (data not shown). However, finalI-square score or pooled RR score about the relations between S100A4 expression and tumor histology or distant metastasis was largely affected by deletion of the study by Oida et al. [26] (Figure 4(a)) or Jia et al. [38] (Figure 4(b)). The total number of the studies (<10) included in this meta-analysis was too small to access publication bias as the default publication bias already existed.Figure 4
Sensitive analysis. (a) Sensitive analysis for tumor histology group. (b) Sensitive analysis for distant metastasis group.
(a)
(b)


## 3.1. Study Selection

As shown in Figure1, 58 records were initially retrieved using the predefined search strategy. After browsing the retrieved titles and abstracts, 44 records were excluded due to no relevant endpoint provided. The remaining 14 records were downloaded as full-text and carefully accessed one by one. Among them, 6 studies were excluded, including one that only examined S100A4 expression at mRNA level [32], one that did not analyze the relation between S100A4 expression and OS or clinicopathological features [33], and four duplicated reports on the same study population [29, 34–36]. As a result, 8 published studies met the inclusion criteria. However, when performing data extraction, one eligible study [37] was further excluded due to low quality of the study (e.g., inconsistency of data) and publication that caused failure of extracting survival rate from the Kaplan-Meier curve presented. Therefore, 7 studies including 474 patients who were all diagnosed as pancreatic ductal adenocarcinoma (PDAC) were finally selected for the meta-analysis.Figure 1
Flow chart for selection of the included studies.


## 3.2. Study Characteristics

Characteristics of 7 selected studies [19, 26–28, 30, 31, 38] were summarized in Table 1. Among them, 4 studies were published in English while 3 in Chinese. Of note, all studies were conducted in Asian patient population, including 1 in Korea, 2 in Japan, and 4 in China. For the methods used to detect S100A4 expression, 5 studies performed immunohistochemical analysis on whole tissue sections, and the other 2 used tissue microarray [19, 28]. S100A4 positivity was defined by both distribution of positively stained cells and intensity of staining in 5 studies, but one only by distribution of positively stained cells [19], while one did not provide the definition for S100A4 positivity [26].Table 1
Characteristics of the included studies (P: S100A4-positive; N: S100A4-negative; NA: not available).
Author
Year
Country
Number of patients
Duration of follow-up
⁢Cutoff scores (positive/negative)
N category (N0/N1)
Distant metastasis (M0/M1)
Histology (well, mod/Por)
3-year OS rate
Oida et al. [26]
2006
Japan
72
NA
>NA (40/32)
P (5/35)N (7/25)
P (24/16)N (20/12)
P (37/3)N (27/5)
P 7.5% (3/40)N 31.3% (10/32)
Ai et al. [27]
2008
China
62
NA
Score⩾ 2 (38/24)
P (5/33)N (8/16)
P (23/15)N (16/8)
P (21/17)N (11/13)
P 2.1% (1/38)N 20.8% (5/24)
Tsukamoto et al. [19]
2013
Japan
83
NA
>5% (48/35)
P (12/36)N (12/23)
NA
P (38/10)N (32/3)
P 10.4% (5/48)N 17.1% (6/35)
Lee et al. [28]
2014
Korea
67
Median 16.9 months
Score⩾ 2 (36/31)
NA
NA
NA
P 11.1% (4/36)N 35.5% (11/31)
Jia [29]
2011
China
63
4–36 months
Score⩾ 2 (47/16)
P (14/33)N (12/4)
P (31/16)N (16/10)
P (32/15)N (15/1)
P 0% (0/47)N 37.5% (6/16)
Liu [30]
2011
China
82
NA
Score⩾ 2 (57/25)
P (16/41)N (16/9)
NA
P (37/20)N (24/1)
NA
Liu [31]
2004
China
45
NA
>20% (21/24)
P (3/18)N (12/12)
NA
P (10/11)N (20/4)
NA


## 3.3. S100A4 Expression and 3-Year OS of Patients with PDAC

Overall, 3-year OS rate was reported either directly or by the Kaplan Meier curves in 5 studies including 347 patients. Notably, the meta-analysis revealed that, S100A4-negative expression was significantly associated with better 3-year OS rate, compared to its positive counterpart (Figure2, RR = 3.92, 95% CI = 2.24–6.87, P
<
0.00001, fixed effects model), with 3.92-fold higher 3-year OS rate of patients with S100A4-negativeversus S100A4-positive PDAC tumors.Figure 2
Relation between S100A4 expression and 3-year OS rate. Comparison was made between S100A4-negative and S100A4-positive expression for 3-year OS rate.


## 3.4. S100A4 Expression and Clinicopathological Features of PDAC

6 studies reported data on the relation between S100A4 expression and N category of PDAC tumor. There was a significant association between S100A4-negative expression and N0 lymph node metastasis (Figure3(a), RR = 2.15, 95% CI = 1.60–2.88, P
<
0.00001, fixed effects model). However, S100A4 expression was not related to distant metastasis (Figure 3(b), RR = 1.23, 95% CI = 0.94–1.62, P
=
0.13, random effects model) in 3 eligible studies or tumor histology (Figure 3(c), RR = 1.21, 95% CI = 0.99–1.47, P
=
0.07, random effects model) in 7 eligible studies.Figure 3
Relation between S100A4 expression and clinicopathological features of PDAC. (a) Relation between S100A4 expression and lymph node metastasis (N category). Comparison was made between S100A4-negative and S100A4-positive expression for N0 status. (b) Relation between S100A4 expression and distant metastasis (M category). Comparison was made between S100A4-negative and S100A4-positive expression for M0 status. (c) Relation between S100A4 expression and tumor histology. Comparison was made between S100A4-negative and S100A4-positive expression for well or moderately differentiated tumor cells.
(a)
(b)
(c)


## 3.5. Sensitivity Analysis and Publication Bias

Sensitivity analyses were further performed to determine the robustness of the results described above. For the statistically significant correlations between S100A4 expression and the 3-year OS rate or N0 lymph metastasis, the results were not altered by deletion of any single study (data not shown). However, finalI-square score or pooled RR score about the relations between S100A4 expression and tumor histology or distant metastasis was largely affected by deletion of the study by Oida et al. [26] (Figure 4(a)) or Jia et al. [38] (Figure 4(b)). The total number of the studies (<10) included in this meta-analysis was too small to access publication bias as the default publication bias already existed.Figure 4
Sensitive analysis. (a) Sensitive analysis for tumor histology group. (b) Sensitive analysis for distant metastasis group.
(a)
(b)


## 4. Discussion

Due to its aggressiveness and poor prognosis, PC poses a heavy burden especially in North America [3]. Currently, CA19-9 and CEA are the most widely used markers in gastrointestinal malignancies. However, due to its low sensitivity and specificity, their secretion rates from individual tumors and nonspecific elevations impair their tumor marker utility and call for the development of additional reliable marker for PC. In this meta-analysis, S100A4 was considered to be a promising candidate. In our study, a combined analysis of 7 clinical researches, which detected the S100A4 antigen in PC tissues, revealed a dismal prognostic outcome in patients with S100A4-positive staining. To further validate our results, a web based analysis was performed using R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl/), which revealed a significant correlation between S100A4 gene expression and overall survival of patients with PC (Figure 5, P
<
0.02 for high versus low expression, expression cutoff: 152.1 [minimal group = 8]).Figure 5
Correlation between S100A4 expression and overall survival. Kaplan-Meier analysis (Mixed pancreatic PDA – Sadanandam – 47) was performed using R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl/).What makes S100A4 contribute to the poor prognosis in PC? On the one hand, S100A4 is commonly found upregulated in various kinds of cancer cells, including PC cells [9]. On the other hand, S100A4 mechanistically acts to bind to multiple proteins, including (a) cytoskeletal proteins (e.g., actin, tubulin, and tropomyosin) to directly regulate cytoskeletal rearrangement and cell motility, probably involved in cancer cell invasion; (b) MDM2 to promote degradation of the tumor suppressor p53; (c) EGFR ligands to enhance EGFR/ErbB2 receptor signaling and cell proliferation; (d) heparan sulfate to activate a Galphaq-coupled receptor, thereby regulating cell apoptosis and differentiation; (e) receptor for advanced glycation end-product (RAGE) to induce cancer cell motility, likely via activation of MAPK/ERK and hypoxia signaling [39–41]. In the present study, we also found that S100A4 expression is significantly correlated with lymph node metastasis. Previous studies have shown that S100A4 expression can upregulate the matrix metalloproteinases (MMPs), which play critical role in tumor metastasis through degradation of extracellular matrix (ECM), including MMP-9, MMP-13, and MMP-2 [22]. In addition, S100A4 protein can also lower the expression of E-cadherin, an inhibitor of MMPs, to promote cell invasion and metastasis [42]. Conversely, blockade of S100A4 (e.g., by a function-blocking anti-S100A4 monoclonal antibody) prevents metastasis burdenin vivo [43, 44]. All these studies reflected the strong association of S100A4 with PC metastasis. Pooled data also suggested a trend towards positive expression of S100A4 which was associated with low degree of tumor differentiation and status of distant metastasis, though statistically significantly it was not reached. The small sample size and the missing of some relevant information might be the reasons that no association of S100A4 positivity with histology or metastasis was observed. Generally speaking, S100A4 could be a marker for poor prognosis and lymph node metastasis of PC.Given the strong correlations between S100A4 expression and prognosis/clinicopathological features, it might be helpful in the development of approaches to PC. Andin vitro test has shown that S100A4 activates Src-FAK-mediated dual signaling pathways, promoting PC progression [45]. Further, enforced expression of S100A4 increased cell movement [46] and invasion [47], whereas siRNA S100A4 knockdown suppresses cell mobility [48]. Hence, S100A4 could be a potential target for PC therapy. In addition, Mahon et al. [49] have demonstrated that the knockdown of S100A4 expression can lead to an increased sensitivity of PC cell lines to gemcitabine treatment. We infer that in the case of PC, S100A4 inhibitor could improve survival and prognosis. Nevertheless the clinically translational potentials require deeper investigation.Our results should be interpreted cautiously since several limitations exist in the present study. Firstly, the number of the eligible published studies, as well as the number of patients enrolled in each of these studies, is relatively small. Secondly, all the included studies involve only the Asian population, which most likely cannot reflect whether S100A4 expression would correlate with prognosis of PC in the European population. Thirdly, the data for baseline measurement of clinicopathological characteristics are not accessible in some included studies. Moreover, the cutoff values for defining S100A4 expression vary between the included studies. Therefore, further high-quality studies with large sample size are needed to draw a definitive conclusion on S100A4 as a biomarker for progression of PC. More importantly, an improved knowledge in S100A4 expression and cancer biology can further potentiate the emergence of new targeted therapies.



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*Source: 8137378-2016-01-19.xml*