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. 2015 Nov 4;2015:160835. doi: 10.1155/2015/160835

Prognostic Significance of Serum Alkaline Phosphatase Level in Osteosarcoma: A Meta-Analysis of Published Data

Hai-Yong Ren 1, Ling-Ling Sun 1, Heng-Yuan Li 1, Zhao-Ming Ye 1,*
PMCID: PMC4649087  PMID: 26618165

Abstract

Background. Serum alkaline phosphatase (SALP) is commonly elevated in osteosarcoma patients. A number of studies have investigated the prognostic role of SALP level in patients with osteosarcoma but yielded inconsistent results. Method. Systematic computerized searches were performed in PubMed, Embase, and Web of Science databases for relevant original articles. The pooled hazard ratios (HRs) and relative risks (RRs) with corresponding confidence intervals (CIs) were calculated to assess the prognostic value of SALP level. Results. Finally, 21 studies comprising 3228 patients were included. Overall, the pooled HRs of SALP suggested that elevated level had an unfavorable impact on osteosarcoma patients' overall survival (OS) (HR = 1.82; 95% CI: 1.61–2.06; p < 0.001) and event-free survival (EFS) (HR = 1.97; 95% CI: 1.61–2.42; p < 0.001). Combined RRs of SALP indicated that elevated level was associated with presence of metastasis at diagnosis (RR = 5.55; 95% CI: 1.61–9.49; p = 0.006). No significantly different results were obtained after stratified by variables of age range, cancer stage, sample size, and geographic region. Conclusion. This meta-analysis demonstrated that high SALP level is significantly associated with poor OS or EFS rate and presence of metastasis at diagnosis. SALP level is a convenient and effective biomarker of prognosis for osteosarcoma.

1. Introduction

Osteosarcoma is the most common primary bone tumor in childhood and adolescence. It is the second highest cause of cancer-related death in these age groups due to development of often fatal metastasis, usually in the lungs [1]. Prior to the use of chemotherapy, 80–90% of patients with osteosarcoma developed metastatic disease, despite achieving local tumor control, and died of their diseases [2]. Although multidisciplinary management including neoadjuvant and adjuvant chemotherapy with aggressive surgical resection has improved clinical outcomes, the overall 5-year survival rate remains 60–70% [3]; the treatment of osteosarcoma is still unsatisfactory for the risk of local relapse and the development of metastasis [4, 5]. Osteosarcoma has a predilection for metastasizing to the lungs. Pulmonary metastases occur in approximately half of the osteosarcoma patients and are the main cause of death for patients with osteosarcoma. At the time of osteosarcoma diagnosis, fewer than 20% of patients present with identified metastatic diseases [68], while most patients with localized osteosarcoma are assumed to have undetectable micrometastases [912]. The 5-year OS rate for patients with metastatic spread is less than 30%, largely unchanged during the past 30 years [8, 13]. Therefore, valuable prognostic factors should be found to identify the high-risk patients efficiently, and aggressive therapeutic regimens could be initiated earlier on these patients to improve prognosis.

Alkaline phosphatases (ALPs) are a family of metalloenzymes that catalyze the hydrolysis of organic phosphate esters at an alkaline environment with low substrate specificity [14]. Four genes encode ALP, including tissue-nonspecific ALP (TNAP) gene located on 1p36.12, which is expressed in various tissues such as osteoblasts, hepatocytes, kidney, and early placenta, and three tissue-specific ALP genes located on 2q37, which are expressed in intestine (IAP), placenta (PLAP), and germ cells (placental-like AP or GCAP), respectively [15]. In healthy individuals, SALP derives mostly from bone, hepatic tissues, or kidney [16]. It is known that patients with osteosarcoma are commonly detected with increased SALP levels. The relationship between total SALP activity and clinical outcome of osteosarcoma patient has been recognized for over 50 years [17]. However, studies on the prognostic role of SALP level with osteosarcoma have yielded inconsistent results. Thus, we conducted a meta-analysis of all available studies relating SALP with survival rate or metastasis to clarify its prognostic value. In addition, normal value of SALP is complicated in children and adolescents, SALP is usually greater in children than in adults [18], which would confound its prognostic role on osteosarcoma patients. Cancer stage and other factors might also influence the results. Thus, the stratified analyses were further conducted to explore any difference in each subgroup.

2. Methods

2.1. Search Strategy and Selection Criteria

We searched PubMed, Embase, and Web of Science databases on May 1, 2015, for relevant articles. The search terms were used as follows: (1) osteosarcoma or bone sarcoma or osteogenic sarcoma and (2) alkaline phosphatase or ALP or SALP or SAP or AP or AKP or ALKP. Studies were considered eligible if they met the following criteria: (1) prospective or retrospective cohort study; (2) tumors being histologically confirmed as osteosarcoma; (3) studies examining the relation between SALP level and prognosis (OS, EFS, or metastasis); (4) publications written in English; (5) studies providing sufficient information to estimate HR or RR with corresponding 95% CIs. The exclusion criteria included (1) articles published in non-English; (2) case reports, editorials, letters, reviews, and conference abstracts; (3) only the most recent or complete study, when multiple publications from a particular research group reported data from overlapping samples.

2.2. Data Extraction and Study Assessment

Two reviewers extracted data from eligible studies independently. Discontents between reviewers were resolved by discussion and through consultation. The following items were collected from each study: first author's name, year of publication, country, sample size, age, cut-off values, tumor stage (Enneking stage), follow-up time, HRs of the elevated SALP for OS or EFS, RRs of the elevated SALP and presence of metastasis at diagnosis or metastasis development of localized osteosarcoma patients, and their 95% CIs and p values and other relevant data. Methodological quality of the included studies was assessed with the Newcastle-Ottawa Scale (NOS) [19].

2.3. Statistical Analysis

For each individual study with assessment of OS or EFS, the HRs and their 95% CIs were extracted if the author had reported the data. Otherwise, these data were calculated according to the methods described by Parmar et al. [20]. RRs with corresponding 95% CIs were used to measure the relationship of SALP level and presence of metastasis at diagnosis or metastasis development of localized osteosarcoma patients. Subgroup analyses were then conducted according to clinical variables including age range, tumor stage, sample size, and geographic region. Heterogeneity between the studies was measured by Q test and I 2 test [21, 22], while potential publication bias was investigated using funnel plot and Begg's test [23]. The fixed effects model was employed to combine the individual HR or RR estimates when there was no significant heterogeneity among studies; otherwise, the random effects' model was used [24]. Finally, sensitivity analysis was performed to assess the influence of the single study on the combined HR of OS or EFS. All statistical analyses were conducted using STATA 12.0 software (Stata Corporation, College Station, Texas, U.S.).

3. Results

3.1. Study Characteristics and Quality Assessment

2186 relevant citations were identified for initial review using search strategies as described previously. Of these, 2123 were initially excluded after reading the titles and abstracts and 42 were excluded after assessing the full texts (28 studies without sufficient information for extraction, 7 studies on bone-specific ALP, and 7 studies by same authors on possibly the same patient populations) (Figure 1). Ultimately, the systematic literature search yielded a total of 21 studies comprising 3228 patients for final analyses [2545]. These studies were conducted in nine countries and published between 1993 and 2015, each including patients ranging from 33 to 350 (median 91). The major characteristics of the 21 eligible publications are reported in Tables 14, each with studies on analyses of OS, EFS, presence of metastasis at diagnosis, and metastasis development among nonmetastatic patients, respectively.

Figure 1.

Figure 1

Flow diagram of the study selection process.

Table 1.

Main characteristics and results of the eligible studies for evaluation of overall survival.

Study
(author/year)
Country Number of patients Age (y)
Median (range)
ALP cut-off (IU/L) Enneking stage HR (95% CI) Follow-up (m)
Median (range)
Aparicio et al., 1999 [25] Spain 33 17 (12–42) 115 II 1.26 (0.42–3.74) 96 (60–156)
Foukas et al., 2002 [26] UK 45 18 (6–48) NA IIB 3.44 (1.52–7.79) 68 (28–88)
Ford et al., 2004 [27] UK 350 NS (<40) NA II 1.66 (1.09–2.51) NA
Bramer et al., 2005 [28] UK 89 NA NA II 1.49 (0.72–3.06) NA
Mialou et al., 2005 [29] France 60 13.5 (2–19) 500 IIIB 2.2 (1.2–4.1) NA
Yalçın et al., 2008 [30] Turkey 55 13 (7–17) NA II-III 1.1 (0.5–2.41) NA
Chou et al., 2009 [31] USA 91 NA NA III 3.16 (1.77–5.36) 89 (1–141)
Kim et al., 2009 [32] Korea 67 15.7 (3.8–644) NA II 1.37 (0.54–3.45) 59.9
Wu et al., 2009 [33] Taiwan ROC 91 20.2 (5–84) A II-III 2.52 (1.32–4.75) 58.2 (2–233)
Yao et al., 2009 [34] China 57 16 (6–70) 136 II-III 3.45 (1.4–8.46) 32.5 (10–52)
Hagleitner et al., 2011 [35] Netherlands 94 17.8 (4.5–39.5) NA II-III 1.66 (0.88–3.11) 67.2 (28.8–360)
Ferrari et al., 2012 [36] Italy 209 14 (4–39) A II 1.69 (0.98–2.9) 76 (31–115)
Han et al., 2012 [37] China 177 23.2 (5–57) A§ II 1.80 (1.28–2.51) 87 (8–144)
Durnali et al., 2013 [38] Turkey 211 20 (13–74) A$ II-III 1.75 (1.23–2.5) 30.5 (0.5–213)
Min et al., 2013 [39] China 333 19 (5–78) NA II-III 1.73 (1.28–2.33) NA (1–100)
Hung et al., 2015 [40] Taiwan ROC 69 13.5 (3.8–17.7) 150 II-III 3.08 (1.05–9.08) 51.6 (18–111.6)
Berner et al., 2015 [41] Norway 301 NA AΔ II-III 1.64 (1.22–2.19) NA

NA: not available, A: available (see the footnotes for details), HR: hazard ratio, CI: confidence interval, y: year(s), and m: month(s).

$: 2 times of upper limit normal level.

†: ALP cut-off: 2–10 y 100–350 IU/L; 10–13 y female 110–400 IU/L; 13–15 y male 125–500 IU/L; 20–50 y 25–100 IU/L; other childhood age 73–300 IU/L.

§: ALP cut-off: >18 y 150 IU/L; <18 y 110 IU/L.

Δ: ALP cut-off: 0–17 y 400 IU/L; >17 y 105 IU/L.

Table 4.

Main characteristics and results of the eligible studies for evaluation of metastasis development for nonmetastatic patients.

Study
(author/year)
Country Number of patients Age (y) ALP cut-off (IU/L)
Enneking stage RR (95% CI) Follow-up (m)
Median (range)
Smeland et al., 2003 [44] Norway 104 NA A II 1.66 (0.68–4.07) 83 (42–124)
Han et al., 2012 [37] China 177 23.2 (5–57) A§ II 2.17 (0.97–4.84) 87 (8–144)
Kim et al., 2014 [45] Korea 91 NA A§ IIB 2.03 (1.04–3.97) NA

NA: not available, A: available (see the footnotes for details), RR: relative risk, y: year(s), and m: month(s).

†: ALP cut-off: 2–10 y 350 IU/L; 10–13 y female 400 IU/L; 13–15 y male 500 IU/L; 20–50 y 100 IU/L; other childhood age 300 IU/L.

§: ALP cut-off: >14 y 115.5 IU/L; <14 y 300 IU/L.

HRs of OS could be extracted from 17 studies (Table 1) [2541] and of EFS could be extracted from 7 studies (Table 2) [2932, 36, 41, 42], respectively. Three of the included studies investigated the association between SALP level and presence of metastasis at diagnosis (Table 3) [33, 40, 43]. Other 3 studies recruited nonmetastatic patients and investigated the correlation between SALP level and risk of metastasis development (Table 4) [37, 44, 45]. Quality assessments revealed average NOS score from the two reviewers of 6.86, indicating that all 21 included studies were of moderate quality.

Table 2.

Main characteristics and results of the eligible studies for evaluation of event-free survival.

Study
(author/year)
Country Number of patients Age (y) ALP cut-off (IU/L) Enneking stage HR (95% CI) Follow-up (m)
Median (range)
Mialou et al., 2005 [29] France 48 13.5 (2–19) 500 IIIB 2.7 (1.5–4.8) NA
Lee et al., 2007 [42] Korea 45 <15 A II 4.55 (1.22–16.99) 54 (6–153)
Yalçın et al., 2008 [30] Turkey 55 13 (7–17) NA II-III 1.11 (0.54–2.31) NA
Kim et al., 2009 [32] Korea 67 15.7 (3.8–64.4) NA II 1.84 (0.84–4.07) 59.9
Chou et al., 2009 [31] USA 91 NA NA III 2.83 (1.68–4.79) 89 (1–141)
Ferrari et al., 2012 [36] Italy 209 14 (4–39) A§ II 1.71 (1.09–2.67) 76 (31–115)
Berner et al., 2015 [41] Norway 237 NA AΔ II-III 1.78 (1.26–2.52) NA

NA: not available, A: available (see the footnotes for details), HR: hazard ratio, CI: confidence interval, y: year(s), and m: month(s).

†: ALP cut-off: 2–10 y 420 IU/L; 10-11 y 560 IU/L; 12–15 y male 495 IU/L; 12-13 y female 420 IU/L; 14-15 y female 230 IU/L.

§: ALP cut-off: 2–10 y 350 IU/L; 10–13 y female 400 IU/L; 13–15 y male 500 IU/L; 20–50 y 100 IU/L; other childhood age 300 IU/L.

Δ: ALP cut-off: 0–17 y 400 IU/L; >17 y 105 IU/L.

Table 3.

Main characteristics and results of the eligible studies for evaluation of presence of metastasis at diagnosis.

Study
(author/year)
Country Number of patients Age (y) ALP cut-off (IU/L) Enneking stage RR (95% CI)
Bacci et al., 1993 [43] Italy 549 NA A§ II-III 5.53 (2.85–10.74)
Wu et al., 2009 [33] Taiwan ROC 91 20.2 (5–84) A§ II-III 16.5 (1.05–260.27)
Hung et al., 2015 [40] Taiwan ROC 76 13.5 (3.8–17.7) 150 II-III 18.6 (1.17–294.97)

NA: not available, A: available (see the footnotes for details), RR: relative risk, and CI: confidence interval.

§: ALP cut-off: 2–10 y 350 IU/L; 10–13 y female 400 IU/L; 13–15 y male 500 IU/L; 20–50 y 100 IU/L; other childhood age 300 IU/L.

3.2. SALP Level and EFS or OS

17 studies with a total of 2272 osteosarcoma patients dealing with SALP level and OS were meta-analyzed [2541]. Because of heterogeneity (I 2 = 0%), a fixed effect model was selected. The pooled HR was 1.82 (95% CI: 1.61–2.06; Z = 9.73; p < 0.001), illustrating that SALP level was significantly associated with the poor OS of osteosarcoma patients (Figure 2). Seven studies including 752 patients which reported the correlation between SALP level and EFS were also meta-analyzed [2932, 36, 41, 42]. No heterogeneity was detected (I 2 = 21.6%), so a fixed effect model was adopted. The combined HR was 1.97 (95% CI: 1.61–2.42; Z = 6.50; p < 0.001), demonstrating that SALP level of osteosarcoma patients was significantly associated with poor EFS (Figure 3).

Figure 2.

Figure 2

Forest plot showing the association between SALP and overall survival (OS) of osteosarcoma.

Figure 3.

Figure 3

Forest plot showing the association between SALP and event-free survival (EFS) of osteosarcoma.

3.3. SALP Level and Metastasis

Three studies with 816 patients investigated the relationship between SALP level and presence of metastasis at diagnosis [33, 40, 43]. A fixed effect model was employed for analysis since no heterogeneity was detected (I 2 = 0.0%). The combined RR was 5.55 (95% CI: 1.61–9.49; Z = 2.76; p = 0.006), indicating significant relationship between elevated SALP level and metastatic disease of osteosarcoma patients (Figure 4). Moreover, other 3 studies, including 372 nonmetastatic osteosarcoma patients, observed the linkage of SALP level and metastasis development [37, 44, 45]. Because of heterogeneity (I 2 = 0%), a fixed effect model was used in this analysis. However, the result showed no statistically significant correlation between high SALP and metastasis development, with RR being 1.95 (95% CI: 0.98–2.91; Z = 3.96; p < 0.001) (Figure 5).

Figure 4.

Figure 4

Forest plot showing the association between SALP and presence of metastasis of osteosarcoma at diagnosis.

Figure 5.

Figure 5

Forest plot showing the association between SALP and occurrence of metastasis for nonmetastatic osteosarcoma patients.

3.4. Subgroup Analyses

Because of the limited articles about metastasis, stratifying analysis was only conducted on the correlation between SALP and OS or EFS. Main results of subgroup analysis for OS and EFS were listed in Tables 5 and 6. After stratified by age range, the pooled HRs of preadult group (patients' age less than 19 years old) of OS and EFS were 1.87 (95% CI: 1.20–2.91; Z = 2.78; p = 0.242) and 2.07 (95% CI: 1.51–2.83; Z = 4.56; p = 0.341), respectively, similar to the studies comprising both preadult and adult patients, of which the HRs of OS and EFS were 1.82 (95% CI: 1.60–2.06; Z = 9.33; p = 0.625) and 1.90 (95% CI: 1.45–2.48; Z = 4.66; p = 0.149), respectively. When stratified by cancer stage, the association between SALP levels and prognosis among osteosarcoma patients seemed to be strengthened in the subgroup of metastatic patients (Enneking stage III), with HRs of OS and EFS being 2.67 (95% CI: 1.75–4.06; Z = 4.56; p = 0.400) and 2.77 (95% CI: 1.88–4.09; Z = 5.13; p = 0.906), respectively, while in the subgroup of localized osteosarcoma patients (Enneking stage II), the HRs of OS and EFS were 1.75 (95% CI: 1.42–2.15; Z = 5.29;  p = 0.740) and 1.88 (95% CI: 1.29–2.73; Z = 3.31; p = 0.386), respectively. Stratified analysis according to sample size was also conducted. Whether patient number is greater than 100 or not, similar results were found about the association between SALP level and poor OS or EFS, while apparent less heterogeneity was obtained in studies with larger sample size (p = 0.999; I 2 = 0.0%). When stratifying by geographic region, the HRs of high SALP for OS and EFS were not significantly different between subgroups of Asia or non-Asia.

Table 5.

A summary of HRs for the overall and subgroup analyses of SALP and OS of osteosarcoma patients.

Number of studies Patients number HR (95% CI) Heterogeneity
Chi-squared I 2 p value
Overall 17 2272 1.82 (1.61–2.06) 13.68 0% 0.622
Age
 Preadult and adult 14 2088 1.82 (1.60–2.06) 10.83 0% 0.625
 Preadult only 3 184 1.87 (1.20–2.91) 2.84 2.96% 0.242
Enneking stage
 II 7 910 1.75 (1.42–2.15) 3.53 0% 0.740
 II-III 8 1211 1.77 (1.61–2.06) 6.02 0% 0.538
 III 2 151 2.67 (1.75–4.06) 0.71 0% 0.400
Sample size
 <100 11 751 2.13 (1.70–2.66) 10.94 8.6% 0.362
 >100 6 1521 1.71 (1.48–1.98) 0.20 0% 0.999
Geographic region
 Asia 6 734 1.89 (1.55–2.31) 4.16 0% 0.527
 Non-Asia 11 1538 1.78 (1.53–2.07) 9.29 0% 0.505

HR: hazard ratio, OS: overall survival, and CI: confidence interval.

Table 6.

A summary of HRs for the overall and subgroup analyses of SALP and EFS of osteosarcoma patients.

Number of studies Patients number HR (95% CI) Heterogeneity
Chi-squared I 2 p value
Overall 7 752 1.97 (1.61–2.42) 7.65 21.6% 0.265
Age
 Preadult and adult 4 385 1.90 (1.45–2.48) 5.33 43.7% 0.149
 Preadult only 3 367 2.07 (1.51–2.83) 2.15 7.1% 0.341
Enneking stage
 II 3 321 1.88 (1.29–2.73) 1.91 0% 0.386
 II-III 2 292 1.63 (1.19–2.23) 1.32 24.3% 0.250
 III 2 139 2.77 (1.88–4.09) 0.01 0% 0.906
Sample size
 <100 5 306 2.28 (1.68–3.09) 6.09 34.3% 0.193
 >100 2 446 1.75 (1.33–2.31) 0.02 0% 0.89
Geographic region
 Asia 2 112 2.34 (1.19–4.60) 1.34 25.2% 0.248
 Non-Asia 5 640 1.94 (1.56–2.40) 6.05 33.8% 0.196

HR: Hazard ratio, EFS: event-free survival, and CI: confidence interval.

3.5. Publication Bias and Sensitivity Analysis

Publication bias of the included studies was assessed by funnel plots and Begg's test. As shown in Figure 6, the funnel plots were almost symmetric in each analysis. Meanwhile, one study was omitted at a time in the sensitivity analysis to measure its effect on the pooled HR for the OS or EFS. No individual study dominantly influenced overall HR, as presented in Figure 7, indicating the robustness of the results in this meta-analysis.

Figure 6.

Figure 6

Funnel plots assessing possible publication bias for prognosis ((a) OS; (b) EFS; (c) presence of metastasis at diagnosis; (d) metastasis development for nonmetastatic patients).

Figure 7.

Figure 7

Sensitivity analysis for prognosis of survival rates ((a) OS; (b) EFS).

4. Conclusion

In the early studies, elevated SALP levels had been reported in 40% to 80% of patients with osteosarcoma [4649]. In accordance with that ratio, of these selected studies which have sample size larger than 100 [27, 3639, 41, 43, 44], elevated SALP levels were found in 40.2% to 83.7% of osteosarcoma patients. The relationship of serum total ALP activity with clinical outcomes of osteosarcoma has been recognized for over 50 years [17]; however, this remains controversial. Thus, to derive a more precise estimation of the correlation between SALP levels and survival rates or metastasis in patients with osteosarcoma, we carried out this meta-analysis.

The present meta-analysis suggested that osteosarcoma patients with high SALP levels have significantly poorer OS or EFS when compared with those with normal levels. The results also showed that patients with high SALP significantly correlated with greater ratio of presence of metastasis at diagnosis, indicating that osteosarcoma metastases obviously relate to higher SALP levels. However, it failed to obtain significant correlation between SALP level and metastasis development through nonmetastatic osteosarcoma patients, with the combined RR being 1.95 (95% CI: 0.98–2.91). Among the included three studies, it is worthwhile to notice that Kim et al. [45] developed a high-performance nomogram with several predictors to predict the probability of metastasis, including the factor of SALP level. Though the meta-analysis showed no statistically significant result, some relevance might exist between SALP level and metastasis development in localized osteosarcoma patients. Merely three studies were included in our analysis and more researches are needed to provide solid data to clarify this relation.

Assessment of SALP levels in children and adolescents is difficult because those levels are usually greater than in adults, they show a tetrabasic pattern with the highest levels in infancy and puberty and troughs at mid-childhood and at the end of puberty [18, 50, 51]. Normal value of SALP is complicated in preadult osteosarcoma patients; variant normal cut-off values were found through the studies, which would confound the results. The results of subgroup analyses revealed similar prognostic role of SALP between adult and preadult patients. However, more efforts are required to refine the prognostic value of SALP by different age, especially among preadult patients. Metastasis is the most crucial prognostic factor in osteosarcoma; patients with localized or metastatic osteosarcoma might have apparently different results. The analyses indicated that the association between SALP levels and survival outcomes were both significant for patients whether with metastasis or not, while the predictive value appears to be stronger among those patients with metastasis. Elevated SALP might tend to predict clinical outcomes more efficiently among metastatic osteosarcoma patients. No significantly different results were found after stratified by variables of sample size and geographic region.

In previous studies, cultured human osteosarcoma cell lines [52, 53] and an animal osteosarcoma cell line [54] have been shown to produce large amount of ALP. It is suggested that transformed osteoblasts in osteosarcoma would disrupt the tight control of proliferation and progressively express the genes associated with cell differentiation, causing a constantly high level of ALP [55, 56]. It is reported that SALP levels were significantly increased in osteoblastic subtype of osteosarcoma than in other subtypes [37]. In addition, osteosarcoma metastasis is associated with expansion and infiltration of tumor cells, stimulating local secretion of cytokines or growth factors and causing the activation of osteoclasts, which aggravate the severity of osteolysis accompanying SALP elevation [57]. The study of Han et al. [37] indicated that the matrix metalloproteinases (MMPs) can be secreted by the cancer cells to dissolve extracellular matrix, which may also lead to rise of SALP. It is reasonable to assume that osteosarcoma progression, invasion, or metastasis would aggravate osteolysis and elevate SALP. High level of SALP would relate to propensity for malignancy of osteosarcoma and poor clinical outcomes. It is reported that, in most patients with initial elevated SALP, the values decreased to be normal after preoperative chemotherapy [28, 37, 43]. Other than the SALP levels at diagnosis, posttreatment SALP values also gain great attention by researchers for its prognostic role. The Rizzoli Institute [43] analyzed SALP value after neoadjuvant chemotherapy and surgery in patients with initial high levels of the enzyme but failed to find significant relationship with relapse. However, Bramer et al. [28] and Han et al. [37] indicated that elevated postchemotherapy SALP correlated with shorter survival and greater incidence of lung metastasis as well as poor response to chemotherapy, though the correlations with relapse were also not evident in these two studies. Decrease of SALP level during clinical therapy may be a symptom of a positive reaction to treatment and disease remission. SALP which remains elevated after treatment might indicate unfavorable treatment response and predict poor prognosis.

Meanwhile, some limitations in this meta-analysis should be noticed. First, publication bias might be present if studies unpublished or in other languages that meet the inclusion criteria were missed. The tendency to publish positive findings over negative results may also introduce some bias. Second, some studies included both children and adults in one group, and the effect of age on the levels of SALP was not taken into account for their analyses. Moreover, normal value of SALP is complicated in preadult osteosarcoma patients; most of the studies including young patients did not apply corresponding cut-off point detailed enough by age, which would make the results less accurate. Third, HRs were calculated from data or extrapolated from survival curves in the eligible studies; the HR information obtained by statistical software unavoidably developed a decrease of reliability. Fourth, all the included articles were retrospective studies; ideally, prospective studies would be required to generate more robust conclusions. In addition, since there are multiple sources of human SALP, the prognostic value of total SALP for osteosarcoma is limited by its lack of specificity [58]. Most studies did not exclude those patients with other diseases that also cause SALP levels elevation, which also decreased the precision of results.

SALP is a routine diagnostic test in clinical laboratories; measurement of SALP is simple, rapid, and cost-effective and provides valuable information for patients with osteosarcoma. In spite of the limitations mentioned above, our meta-analysis permits the conclusion that high SALP is obviously associated with poor OS or EFS and presence of metastasis when diagnosed. SALP level is a convenient and effective biomarker of prognosis for osteosarcoma.

Acknowledgment

This work was supported by the National Natural Science Foundation of the People's Republic of China (Grant nos. 81172547 and 30973444).

Conflict of Interests

The authors declare that they have no conflict of interests.

References

  • 1.Ta H. T., Dass C. R., Choong P. F. M., Dunstan D. E. Osteosarcoma treatment: state of the art. Cancer and Metastasis Reviews. 2009;28(1-2):247–263. doi: 10.1007/s10555-009-9186-7. [DOI] [PubMed] [Google Scholar]
  • 2.Dahlin D. C., Unni K. K. Osteosarcoma of bone and its important recognizable varieties. The American Journal of Surgical Pathology. 1977;1(1):61–72. doi: 10.1097/00000478-197701010-00007. [DOI] [PubMed] [Google Scholar]
  • 3.Ritter J., Bielack S. S. Osteosarcoma. Annals of Oncology. 2010;21(Supplement 7):vii320–vii325. doi: 10.1093/annonc/mdq276. [DOI] [PubMed] [Google Scholar]
  • 4.Mirabello L., Troisi R. J., Savage S. A. Osteosarcoma incidence and survival rates from 1973 to 2004: data from the surveillance, epidemiology, and end results program. Cancer. 2009;115(7):1531–1543. doi: 10.1002/cncr.24121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hameed M., Dorfman H. Primary malignant bone tumors—recent developments. Seminars in Diagnostic Pathology. 2011;28(1):86–101. doi: 10.1053/j.semdp.2011.02.002. [DOI] [PubMed] [Google Scholar]
  • 6.Kager L., Zoubek A., Pötschger U., et al. Primary metastatic osteosarcoma: presentation and outcome of patients treated on neoadjuvant Cooperative Osteosarcoma Study Group protocols. Journal of Clinical Oncology. 2003;21(10):2011–2018. doi: 10.1200/jco.2003.08.132. [DOI] [PubMed] [Google Scholar]
  • 7.Bielack S. S., Kempf-Bielack B., Delling G., et al. Prognostic factors in high-grade osteosarcoma of the extremities or trunk: an analysis of 1,702 patients treated on neoadjuvant cooperative osteosarcoma study group protocols. Journal of Clinical Oncology. 2002;20(3):776–790. doi: 10.1200/jco.20.3.776. [DOI] [PubMed] [Google Scholar]
  • 8.Chou A. J., Geller D. S., Gorlick R. Therapy for osteosarcoma: where do we go from here? Pediatric Drugs. 2008;10(5):315–327. doi: 10.2165/00148581-200810050-00005. [DOI] [PubMed] [Google Scholar]
  • 9.Bramwell V. H. C. Osteosarcomas and other cancers of bone. Current Opinion in Oncology. 2000;12(4):330–336. doi: 10.1097/00001622-200007000-00009. [DOI] [PubMed] [Google Scholar]
  • 10.Geller D. S., Gorlick R. Osteosarcoma: a review of diagnosis, management, and treatment strategies. Clinical Advances in Hematology & Oncology. 2010;8(10):705–718. [PubMed] [Google Scholar]
  • 11.Wittig J. C., Bickels J., Priebat D., et al. Osteosarcoma: a multidisciplinary approach to diagnosis and treatment. American Family Physician. 2002;65(6):1123–1136. [PubMed] [Google Scholar]
  • 12.Gill J., Ahluwalia M. K., Geller D., Gorlick R. New targets and approaches in osteosarcoma. Pharmacology & Therapeutics. 2013;137(1):89–99. doi: 10.1016/j.pharmthera.2012.09.003. [DOI] [PubMed] [Google Scholar]
  • 13.Allison D. C., Carney S. C., Ahlmann E. R., et al. A meta-analysis of osteosarcoma outcomes in the modern medical era. Sarcoma. 2012;2012:10. doi: 10.1155/2012/704872.704872 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kaplan M. M. Alkaline phosphatase. The New England Journal of Medicine. 1972;286(4):200–202. doi: 10.1056/nejm197201272860407. [DOI] [PubMed] [Google Scholar]
  • 15.Moss D. W. Perspectives in alkaline phosphatase research. Clinical Chemistry. 1992;38(12):2486–2492. [PubMed] [Google Scholar]
  • 16.Cho S. R., Lim Y. A., Lee W. G. Unusually high alkaline phosphatase due to intestinal isoenzyme in a healthy adult. Clinical Chemistry and Laboratory Medicine. 2005;43(11):1274–1275. doi: 10.1515/cclm.2005.218. [DOI] [PubMed] [Google Scholar]
  • 17.McKenna R. J., Schwinn C. P., Soong K. Y., Higinbotham N. L. Osteogenic sarcoma arising in Paget's disease. Cancer. 1964;17:42–66. doi: 10.1002/1097-0142(196401)17:1<42::aid-cncr2820170108>3.0.co;2-u. [DOI] [PubMed] [Google Scholar]
  • 18.Rauchenzauner M., Schmid A., Heinz-Erian P., et al. Sex- and age-specific reference curves for serum markers of bone turnover in healthy children from 2 months to 18 years. The Journal of Clinical Endocrinology and Metabolism. 2007;92(2):443–449. doi: 10.1210/jc.2006-1706. [DOI] [PubMed] [Google Scholar]
  • 19.Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European Journal of Epidemiology. 2010;25(9):603–605. doi: 10.1007/s10654-010-9491-z. [DOI] [PubMed] [Google Scholar]
  • 20.Parmar M. K. B., Torri V., Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Statistics in Medicine. 1998;17(24):2815–2834. doi: 10.1002/(sici)1097-0258(19981230)17:24<2815::aid-sim110>3.0.co;2-8. [DOI] [PubMed] [Google Scholar]
  • 21.DerSimonian R. Meta-analysis in the design and monitoring of clinical trials. Statistics in Medicine. 1996;15(12):1237–1248. doi: 10.1002/(SICI)1097-0258(19960630)15:12<1237::AID-SIM301>3.0.CO;2-N. [DOI] [PubMed] [Google Scholar]
  • 22.Higgins J. P. T., Thompson S. G., Deeks J. J., Altman D. G. Measuring inconsistency in meta-analyses. British Medical Journal. 2003;327(7414):557–560. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Begg C. B., Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–1101. doi: 10.2307/2533446. [DOI] [PubMed] [Google Scholar]
  • 24.Bax L., Ikeda N., Fukui N., Yaju Y., Tsuruta H., Moons K. G. M. More than numbers: the power of graphs in meta-analysis. American Journal of Epidemiology. 2009;169(2):249–255. doi: 10.1093/aje/kwn340. [DOI] [PubMed] [Google Scholar]
  • 25.Aparicio J., Segura A., Montalar J., et al. Long-term results after combined modality treatment for non-metastatic osteosarcoma. Medical Oncology. 1999;16(4):255–260. doi: 10.1007/bf02785871. [DOI] [PubMed] [Google Scholar]
  • 26.Foukas A. F., Deshmukh N. S., Grimer R. J., Mangham D. C., Mangos E. G., Taylor S. Stage-IIB osteosarcomas around the knee. A study of MMP-9 in surviving tumour cells. The Journal of Bone and Joint Surgery—British Volume. 2002;84(5):706–711. doi: 10.1302/0301-620x.84b5.12512. [DOI] [PubMed] [Google Scholar]
  • 27.Ford S., Saithna A., Grimer R. J., Picci P. Comparison of the outcome of conventional osteosarcoma at two specialist international orthopaedic oncology centres. Sarcoma. 2004;8(1):13–18. doi: 10.1080/13577140410001679202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Bramer J. A. M., Abudu A. A., Tillman R. M., Carter S. R., Sumathi V. P., Grimer R. J. Pre- and post-chemotherapy alkaline phosphatase levels as prognostic indicators in adults with localised osteosarcoma. European Journal of Cancer. 2005;41(18):2846–2852. doi: 10.1016/j.ejca.2005.07.024. [DOI] [PubMed] [Google Scholar]
  • 29.Mialou V., Philip T., Kalifa C., et al. Metastatic osteosarcoma at diagnosis: prognostic factors and long-term outcome—the French pediatric experience. Cancer. 2005;104(5):1100–1109. doi: 10.1002/cncr.21263. [DOI] [PubMed] [Google Scholar]
  • 30.Yalçın B., Gedikoğlu G., Kutluk T., Varan A., Akyüz C., Büyükpamukçu M. C-erbB-2 expression and prognostic significance in osteosarcoma. Pediatric Blood — Cancer. 2008;51(2):222–227. doi: 10.1002/pbc.21576. [DOI] [PubMed] [Google Scholar]
  • 31.Chou A. J., Kleinerman E. S., Krailo M. D., et al. Addition of muramyl tripeptide to chemotherapy for patients with newly diagnosed metastatic osteosarcoma: a report from the Children's Oncology Group. Cancer. 2009;115(22):5339–5348. doi: 10.1002/cncr.24566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kim C., Shin E., Hong S., et al. Clinical value of ezrin expression in primary osteosarcoma. Cancer Research and Treatment. 2009;41(3):138–144. doi: 10.4143/crt.2009.41.3.138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Wu P. K., Chen W. M., Chen C. F., Lee O. K., Haung C. K., Chen T. H. Primary osteogenic sarcoma with pulmonary metastasis: clinical results and prognostic factors in 91 patients. Japanese Journal of Clinical Oncology. 2009;39(8):514–522. doi: 10.1093/jjco/hyp057. [DOI] [PubMed] [Google Scholar]
  • 34.Yao Y., Dong Y., Lin F., et al. The expression of CRM1 is associated with prognosis in human osteosarcoma. Oncology Reports. 2009;21(1):229–235. doi: 10.3892/or_00000213. [DOI] [PubMed] [Google Scholar]
  • 35.Hagleitner M. M., Hoogerbrugge P. M., van der Graaf W. T. A., Flucke U., Schreuder H. W. B., te Loo D. M. W. M. Age as prognostic factor in patients with osteosarcoma. Bone. 2011;49(6):1173–1177. doi: 10.1016/j.bone.2011.08.014. [DOI] [PubMed] [Google Scholar]
  • 36.Ferrari S., Ruggieri P., Cefalo G., et al. Neoadjuvant chemotherapy with methotrexate, cisplatin, and doxorubicin with or without ifosfamide in nonmetastatic osteosarcoma of the extremity: an Italian sarcoma group trial ISG/OS-1. Journal of Clinical Oncology. 2012;30(17):2112–2118. doi: 10.1200/jco.2011.38.4420. [DOI] [PubMed] [Google Scholar]
  • 37.Han J., Yong B., Luo C., Tan P., Peng T., Shen J. High serum alkaline phosphatase cooperating with MMP-9 predicts metastasis and poor prognosis in patients with primary osteosarcoma in Southern China. World Journal of Surgical Oncology. 2012;10, article 37 doi: 10.1186/1477-7819-10-37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Durnali A., Alkis N., Cangur S., et al. Prognostic factors for teenage and adult patients with high-grade osteosarcoma: an analysis of 240 patients. Medical Oncology. 2013;30(3, article 624) doi: 10.1007/s12032-013-0624-6. [DOI] [PubMed] [Google Scholar]
  • 39.Min D., Lin F., Shen Z., et al. Analysis of prognostic factors in 333 Chinese patients with high-grade osteosarcoma treated by multidisciplinary combined therapy. Asia-Pacific Journal of Clinical Oncology. 2013;9(1):71–79. doi: 10.1111/j.1743-7563.2012.01560.x. [DOI] [PubMed] [Google Scholar]
  • 40.Hung G. Y., Yen H. J., Yen C. C., et al. Experience of pediatric osteosarcoma of the extremity at a single institution in Taiwan: prognostic factors and impact on survival. Annals of Surgical Oncology. 2015;22(4):1080–1087. doi: 10.1245/s10434-014-4154-z. [DOI] [PubMed] [Google Scholar]
  • 41.Berner K., Hall K. S., Monge O. R., Weedon-Fekjær H., Zaikova O., Bruland Ø. S. Prognostic factors and treatment results of high-grade osteosarcoma in norway: a scope beyond the ‘classical’ patient. Sarcoma. 2015;2015:14. doi: 10.1155/2015/516843.516843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Lee J. A., Kim D. H., Lim J. S., et al. The survival of osteosarcoma patients 10 years old or younger is not worse than the survival of older patients: a retrospective analysis. Cancer Research and Treatment. 2007;39(4):160–164. doi: 10.4143/crt.2007.39.4.160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bacci G., Picci P., Ferrari S., et al. Prognostic significance of serum alkaline phosphatase measurements in patients with osteosarcoma treated with adjuvant or neoadjuvant chemotherapy. Cancer. 1993;71(4):1224–1230. doi: 10.1002/1097-0142(19930215)71:4<1224::aid-cncr2820710409>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
  • 44.Smeland S., Müller C., Alvegard T. A., et al. Scandinavian Sarcoma Group Osteosarcoma Study SSG VIII: prognostic factors for outcome and the role of replacement salvage chemotherapy for poor histological responders. European Journal of Cancer. 2003;39(4):488–494. doi: 10.1016/s0959-8049(02)00747-5. [DOI] [PubMed] [Google Scholar]
  • 45.Kim S. H., Shin K.-H., Kim H. Y., et al. Postoperative nomogram to predict the probability of metastasis in enneking stage IIB extremity osteosarcoma. BMC Cancer. 2014;14, article 666 doi: 10.1186/1471-2407-14-666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Eilber F. R., Caulkins E. Bone tumors—clinical and radiologic investigation. In: Uhthoff H., editor. Current Concepts of Diagnosis and Treatment of Bone and Soft Tissue Tumors. Berlin, Germany: Springer; 1984. pp. 47–54. [DOI] [Google Scholar]
  • 47.Lockshin M. D., Higgins I. T. Prognosis in osteogenic sarcoma. Clinical Orthopaedics and Related Research. 1968;58:85–103. [PubMed] [Google Scholar]
  • 48.Scranton P. E., Jr., DeCicco F. A., Totten R. S., Yunis E. J. Prognostic factors in osteosarcoma. A review of 20 year's experience at the University of Pittsburgh Health Center Hospitals. Cancer. 1975;36(6):2179–2191. doi: 10.1002/cncr.2820360936. [DOI] [PubMed] [Google Scholar]
  • 49.Mckenna R. J., Schwinn C. P., Soong K. Y., Higinbotham N. L. Sarcomata of the osteogenic series (osteosarcoma, fibrosarcoma, chondrosarcoma, parosteal osteogenic sarcoma, and sarcomata arising in abnormal bone). An analysis of 552 cases. The Journal of Bone & Joint Surgery—American Volume. 1966;48(1):1–26. [Google Scholar]
  • 50.Turan S., Topcu B., Gökçe I., et al. Serum alkaline phosphatase levels in healthy children and evaluation of alkaline phosphatase z-scores in different types of rickets. Journal of Clinical Research in Pediatric Endocrinology. 2011;3(1):7–11. doi: 10.4274/jcrpe.v3i1.02. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Szulc P., Seeman E., Delmas P. D. Biochemical measurements of bone turnover in children and adolescents. Osteoporosis International. 2000;11(4):281–294. doi: 10.1007/s001980070116. [DOI] [PubMed] [Google Scholar]
  • 52.Farley J. R., Kyeyune-Nyombi E., Tarbaux N. M., Hall S. L., Strong D. D. Alkaline phosphatase activity from human osteosarcoma cell line SaOS-2: an isoenzyme standard for quantifying skeletal alkaline phosphatase activity in serum. Clinical Chemistry. 1989;35(2):223–229. [PubMed] [Google Scholar]
  • 53.Pautke C., Schieker M., Tischer T., et al. Characterization of osteosarcoma cell lines MG-63, Saos-2 and U-2 OS in comparison to human osteoblasts. Anticancer Research. 2004;24(6):3743–3748. [PubMed] [Google Scholar]
  • 54.Ali N. N., Harrison M. A., Rowe J., Teich N. M. Spectrum of osteoblastic differentiation in new cell lines derived from spontaneous murine osteosarcomas. Bone. 1993;14(6):847–858. doi: 10.1016/8756-3282(93)90314-z. [DOI] [PubMed] [Google Scholar]
  • 55.Stein G. S., Lian J. B., Owen T. A. Relationship of cell growth to the regulation of tissue-specific gene expression during osteoblast differentiation. The FASEB Journal. 1990;4(13):3111–3123. doi: 10.1096/fasebj.4.13.2210157. [DOI] [PubMed] [Google Scholar]
  • 56.Limmahakhun S., Pothacharoen P., Theera-Umpon N., et al. Relationships between serum biomarker levels and clinical presentation of human osteosarcomas. Asian Pacific Journal of Cancer Prevention. 2011;12(7):1717–1722. [PubMed] [Google Scholar]
  • 57.Ambroszkiewicz J., Gajewska J., Klepacka T., Chełchowska M., Laskowska-Klita T., Woźniak W. Clinical utility of biochemical bone turnover markers in children and adolescents with osteosarcoma. Advances in Medical Sciences. 2010;55(2):266–272. doi: 10.2478/v10039-010-0043-2. [DOI] [PubMed] [Google Scholar]
  • 58.Liu P. P. L., Leung K. S., Kumta S. M., Lee K. M., Fung K. P. Bone-specific alkaline phosphatase in plasma as tumour marker for osteosarcoma. Oncology. 1996;53(4):275–280. doi: 10.1159/000227573. [DOI] [PubMed] [Google Scholar]

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