Literature DB >> 31768692

Prognostic value of alkaline phosphatase in hormone-sensitive prostate cancer: a systematic review and meta-analysis.

Keiichiro Mori1,2, Florian Janisch1,3, Mehdi Kardoust Parizi1,4, Hadi Mostafaei1,5, Ivan Lysenko1, Dmitry V Enikeev6, Shoji Kimura1,2, Shin Egawa2, Shahrokh F Shariat7,8,9,10,11,12.   

Abstract

PURPOSE: To assess the prognostic value of alkaline phosphatase in patients with hormone-sensitive prostate cancer.
METHODS: A systematic review and meta-analysis was performed using the PUBMED, Web of Science, Cochrane Library, and Scopus in April 2019 according to the Preferred Reporting Items for Systematic Review and Meta-analysis statement. Studies were deemed eligible if they compared hormone-sensitive prostate cancer patients with high vs. low alkaline phosphatase to determine its predictive value for overall survival, cancer-specific survival, and progression-free survival. We performed a formal meta-analysis of these outcomes.
RESULTS: 42 articles with 7938 patients were included in the systematic review and 28 studies with 5849 patients for the qualitative assessment. High alkaline phosphatase was associated with worse overall survival (pooled HR 1.72; 95% CI 1.37-2.14) and progression-free survival (pooled HR 1.30; 95% CI 1.10-1.54). In subgroup analyses of patients with "high-volume" and "low-volume", alkaline phosphatase was associated with the overall survival (pooled HR 1.41; 95% CI 1.21-1.64 and pooled HR 1.64; 95% CI, 1.06-2.52, respectively).
CONCLUSIONS: In this meta-analysis, elevated serum levels of alkaline phosphatase were associated with an increased risk of overall mortality and disease progression in patients with hormone-sensitive prostate cancer. In contrast, those were not associated with an increased risk of cancer-specific mortality. Alkaline phosphatase was independently associated with overall survival in both patients with "high-volume" and "low-volume" hormone-sensitive prostate cancer. Alkaline phosphatase may be useful for being integrated into prognostic tools that help guide treatment strategy, thereby facilitating the shared decision making process.

Entities:  

Keywords:  Alkaline phosphatase (ALP); Hormone-sensitive prostate cancer (HSPC); Meta-analysis

Mesh:

Substances:

Year:  2019        PMID: 31768692      PMCID: PMC6989419          DOI: 10.1007/s10147-019-01578-9

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


Introduction

Prostate cancer (PC) is not only the most common solid cancer, but also the second most common cause of cancer-related death in men [1]. Following the results of the CHAARTED trial and the LATITUDE trial, the treatment of patients with metastatic hormone-sensitive prostate cancer (HSPC) has changed substantially in the recent years [2, 3]. However, systemic therapy based on androgen deprivation remains the standard primary treatment strategy in patients with metastatic HSPC. Despite adequate therapy, the disease eventually progresses to a castration-resistant prostate cancer (CRPC) [4]. To improve PC outcomes, prognostic tools have been developed to help in the daily clinical decision making and patient counselling [5-8]. These tools include standard clinical features and biomarkers [9], such as alkaline phosphatase (ALP) in patients with CRPC, but not yet in patients with HSPC. ALP is a glycoprotein derived from bones, liver, kidney, or placenta that has been shown to be elevated and of prognostic value for various malignancies [10-13]. In PC, ALP has been shown to be of prognostic value in CRPC-reflecting disease outcome, independent of therapy [14]. In patients with CRPC, high-baseline ALP levels have been shown to be associated with worse outcomes, including skeletal complications and decreased survival [15-17]. Moreover, elevated ALP was also been shown to be correlated with the extent of metastatic bone disease [17, 18]. Serum ALP is deemed a simple and inexpensive test that could serve as an objective prognostic parameter that helps improve daily oncologic clinical practice, plan follow-up, and counsel regarding outcomes, thus facilitating the shared decision making process with the patient. Unfortunately, to date, the prognostic value of ALP in HSPC remains insufficiently investigated. The aim of the current study was to summarize the available data to test the hypothesis that ALP has a strong prognostic value for oncologic outcomes in HSPC patients. To this end, we performed a systematic review and a meta-analysis.

Materials and methods

Search strategy

This systematic review and meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement [19]. We searched the electronic databases PUBMED, Web of Science, Cochrane Library and Scopus on April 2019, investigating the prognostic value of ALP in HSPC. After the first screening based on study title and abstract, all papers were assessed based on full text and excluded with reasons when inappropriate; a further check of the appropriateness of the papers based on full text revision which was performed after the data extraction. Two investigators carried out this process independently. Disagreements were resolved by a consensus meeting with a third investigator. The following keywords were used in our search strategy: (prostate cancer OR prostate carcinoma OR prostate tumor OR prostatic carcinoma OR prostatic cancer OR prostatic tumor NOT resistant) AND (Alkaline Phosphatase OR ALP) AND (survival OR outcome OR prognostic OR mortality OR progression OR recurrence OR OS OR CSS OR PFS OR RFS OR MFS). The primary outcome of interest was overall survival (OS) and secondary outcomes were cancer-specific survival (CSS) and progression-free survival (PFS).

Inclusion criteria and exclusion criteria

Studies were included if they investigated whether patients with high ALP treated for HSPC (patients) who had received systemic therapy (intervention) as compared to those who had low ALP (comparison) to assess the independent predictive value of ALP on OS, CSS, and PFS (outcome) utilizing multivariate Cox regression analysis (study design) in nonrandomized observational, or randomize or cohort studies. We excluded reviews, letters, editorials, meeting abstracts, replies from author, case reports, and articles not published in English. In case of duplicate publications, either the higher quality or the most recent publication was selected. References of included manuscripts were scanned for additional studies of interest.

Data extraction

Two investigators independently extracted the information from the included articles. The information contained the following characteristics: first author’s name, publication year, recruitment country, period of patient recruitment, number of patients, age, study design, disease stage, therapy type, oncological outcome, follow-up duration, conclusion, and ALP cut-off. Subsequently, the hazard ratios (HR) and 95% confidence intervals (CI) of ALP associated with each of the outcomes were retrieved. The HRs were extracted from the multivariate analyses. All discrepancies regarding data extraction were resolved by consensus with a third investigator.

Quality assessment

The Newcastle–Ottawa Scale (NOS) was used to assess the quality of the included studies according to the Cochrane Handbook for systematic reviews of interventions for included non-randomized studies [20, 21]. The scale focuses on the three factors: Selection (1−4), Comparability (1−2) and Exposure (1−3). The total score ranges from 0 (lowest) to 9 (highest). The main confounders were identified as the important prognostic factors of OS, CSS, and PFS. The presence of confounders was determined by consensus and review of the literature. We identified as “high-quality” choices those with scores more than 6.

Statistical analyses

We performed a forest plot to assess the HRs from the multivariate analyses of individual studies and obtained a summary HR of the value of ALP on OS, CSS, and PFS. Disease progression includes symptomatic or radiographic or biochemical progression in this analysis. Studies with Kaplan–Meier log-rank, univariate Cox proportional hazard regression, or general logistic regression analyses were not considered for the meta-analysis. In case there were only HR and P value, we calculated 95% CI [22, 23]. We also performed subgroup analyses in HSPC patients with “high-volume” and “low-volume” disease. We classified as low-volume (lesions < 4 sites and within pelvis–vertebral column) or high-volume disease (lesions ≥ 4 sites and at least one lesion beyond the pelvis–vertebral column) according to the CHAARTED classification [2]. Again, of all the HSPC patients from the studies providing information on EOD scores or Soloway scores, those with EOD scores 2 or higher or those with Soloway scores 2 or higher were defined as high-volume disease [24]. With high-volume disease thus defined, all studies in which those with high-volume disease accounted for 60% or more or less than 60% of all patients were included for the current analysis as “high-volume disease” and “low-volume disease” studies, respectively. Heterogeneity among the outcomes of the included studies in this meta-analysis was evaluated using Cochrane Q test and I2 statistic. Significant heterogeneity was indicated by a P < 0.05 in Cochrane Q tests and a ratio > 50% in I2 statistics, which led to the use of random-effect models. We used fixed effect models for calculation of pooled HRs for non-heterogeneous results [25-27]. Publication bias was assessed by funnel plots. Statistical analyses were performed using Stata/MP 14.2 (Stata Corp., College Station, TX); statistical significance level was set at P < 0.05.

Results

Study selection and characteristics

Our initial search identified 2245 records. After removal of duplicates, 2016 remained (Fig. 1). After screening of the titles and abstracts, 1816 articles were excluded. Then we assessed 200 full texts for further selection. After selection, 42 articles with 7938 patients were included in the systematic review and 28 studies with 5849 patients for qualitative meta-analysis [28-69]. The baseline characteristics of the 42 studies are outlined in Table 1. All included studies were published between 1995 and 2019 with 15 being from Europe, and 27 from Asia. Median age ranged from 63 to 77 years, 10 studies included non-metastatic HSPC. Studies were heterogeneous regarding cut-off value for ALP ranging from 67 to 620 for OS, from 115 to 683.4 for CSS, and from 114.56 to 400 for PFS; follow-up ranged from 14.4 to 156 months.
Fig. 1

The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) flow chart for article selection process to analyze the prognostic value of alkaline phosphatase (ALP) in hormone-sensitive prostate cancer (HSPC) and oncological outcomes

Table 1

Study characteristics of 42 studies

AuthorYearCountryRecruitment periodNAgeDesignMetastasisTreatmentOutcomeFollow up (month)ConclusionCut off (IU/L)NOS
Reynard1995UK1986–19908571PM1EOSNRPUNL6
Vasalainen1995Finland1971–199218871.5RM0, M1EOS156PUNL6
Stokkel1997Netherland1990–199512471RM0E, P, ROS, PFS41NNR6
Furuya1998Japan1986–199313973.6RM1ECSS36.9NNR7
Akimoto1999JapanNR4871.8RM1ECSS32NNR7
Nakashima2000JapanNR114NRRM1EOSNRN6206
Kwak2002Korea1991–199715167.7RM0, M1EOS39P1157
Pelger2002NetherlandNR23375RM0, M1EPFSNRPNR7
Furuya2003Japan1990–19995972.9RM1ECSS25.3NUNL6
Noguchi2003Japan1994–20005672RM1ECSS32P4675
Yashi2003JapanNR7072RM1EPFS27.4N4007
Jung2004Germany1998–200111766RM0, M1EOS36.1N1296
Brasso2006Denmark1993–199615372PM1EOS59PContinuous7
Salminen2006FinlandNR8467RM0, M1EOS52P2276
Saito2007Japan1992–200424172.3RM1NROS31P5007
Robinson2008Sweden1992–199769772.8PM1ECSS37PUNL7
Jeong2009Korea1987–199529569.7RM0, M1EOS, CSS39P1157
Lein2009Germany2002–2005117NRPM1E,CPFSNRNNR6
Mikkola2009Finland1990–199414272PM1EOSNRP1806
Kamiya2010Japan2002–20085869RM1ECSS35N683.46
yamada2010Japan1998–200610474RM1ECSS43NUNL7
Jung2011Germany2002–20055268RM1EOS49N678
Miyamoto2011Japan1992–20029472.5RM1EOS38.8P2207
He2012China1997–200911572RM1EOS26.8PNR6
Tsuchiya2013Japan1980–200821572RM1ECSS37P3507
Nozawa2014Japan2008–20105272PM1EOS, PFS41.6P3005
Gravis2015France2004–200838563PM1E, COS58.3PUNL6
Koo2015Korea2002–2012248NRRM1ECSS, PFS39.9P2007
Mohammed2015Saudi Arabia2011–20157172RM1NRCSS14.4PNR6
Kato2016Japan2002–201215073RM1EOS38N3987
Klaff2016Sweden1992–1997319NRPM1EOS112.5N1.25xUNL7
Klaff2016Sweden1992–1997483NRPM1EOS63.3P1.25xUNL7
Lv2016China2009–201416872RM1EPFS22P114.566
Pan2016China2009–2012155NRPM1EOS, PFS38N2207
Peng2016China1997–201211364RM1EOS41P1507
Josefsson2017Sweden2012–20154077PM1EPFSNRPContinuous6
Wang 2017China2004–201543870RM0PPFS52NContinuous7
Buelens2018Belgium2014–201811370PM1E,COS20PUNL6
Okamoto2018Japan2005–201733972RM1EOS, CSS, PFS26N3227
Sato2018Japan2000–20156072RM1EOS, PFS34PUNL7
Zhao 2018China2011–2016449NRRM1EOS, PFS50PUNL7
Miyake2019Japan2010–2017437NRRM1EOS46.5P4007
Shimodaira2019Japan1999–201216774.8RM0, M1ECSS54.3P3506

C chemotherapy, CSS cancer-specific survival, E endocrine therapy, N (outcome): negative, NOS Newcastle–Ottawa Scale, NR not reported, OS overall survival, P (design) prospective, P (outcome) positive, P (treatment): prostatectomy, PFS progression-free survival, R (design) retrospective, R (treatment) radiotherapy, UNL upper normal limit

The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) flow chart for article selection process to analyze the prognostic value of alkaline phosphatase (ALP) in hormone-sensitive prostate cancer (HSPC) and oncological outcomes Study characteristics of 42 studies C chemotherapy, CSS cancer-specific survival, E endocrine therapy, N (outcome): negative, NOS Newcastle–Ottawa Scale, NR not reported, OS overall survival, P (design) prospective, P (outcome) positive, P (treatment): prostatectomy, PFS progression-free survival, R (design) retrospective, R (treatment) radiotherapy, UNL upper normal limit

Meta-analysis

Association of ALP with OS in HSPC

Sixteen studies including 3747 patients provided data on the association of ALP with OS in HSPC. The forest plot (Fig. 2a) showed that ALP was significantly associated with OS in HSPC (pooled HR 1.72; 95% CI 1.37 − 2.14; z = 4.76). The Cochrane Q test (χ2 = 85.73; P = 0.000) and I2 test (I2 = 81.3%) showed significant heterogeneity. The funnel plot identified nine studies over the pseudo 95% CI (Fig. 2a).
Fig. 2

Forest and funnel plots showing the association of alkaline phosphatase (ALP) with oncologic outcomes in hormone-sensitive prostate cancer (HSPC): a overall survival b cancer specific surivival (C) progression free survival

Forest and funnel plots showing the association of alkaline phosphatase (ALP) with oncologic outcomes in hormone-sensitive prostate cancer (HSPC): a overall survival b cancer specific surivival (C) progression free survival

Association of ALP with CSS in HSPC

Ten studies including 2225 patients provided data on the association of ALP with CSS in HSPC. The forest plot (Fig. 2b) showed that ALP was not significantly associated with CSS in HSPC (pooled HR 1.00; 95% CI 1.00–1.01; z = 1.55). The Cochrane Q test (χ2 = 80.97; P = 0.000) and I2 test (I2 = 88.9%) showed significant heterogeneity. The funnel plot identified four studies over the pseudo 95% CI (Fig. 2b).

Association of ALP with PFS in HSPC

Seven studies including 1547 patients provided data on the association of ALP with PFS in HSPC. The forest plot (Fig. 2c) showed that ALP was significantly associated with PFS in HSPC (pooled HR 1.30; 95% CI 1.10−1.54; z = 3.04). The Cochrane Q test (χ2 = 40.49; P = 0.000) and I2 test (I2 = 85.2%) showed significant heterogeneity. The funnel plot identified four studies over the pseudo 95% CI (Fig. 2c).

Association of ALP with OS in HSPC with “high volume”

Five studies including 1509 patients provided data on the association of ALP with OS in HSPC with “high-volume” disease. The forest plot (Fig. 3a) showed that ALP was significantly associated with OS in HSPC with “high-volume” disease (pooled HR 1.41; 95% CI 1.21−1.64; z = 4.47). The Cochrane Q test (χ2 = 7.25; P = 0.123) and I2 test (I2 = 44.8%) showed no significant heterogeneity. The funnel plot identified no studies over the pseudo 95% CI (Fig. 3a).
Fig. 3

Forest and funnel plots showing the association of alkaline phosphatase (ALP) with oncologic outcomes: a overall survival in hormone-sensitive prostate cancer (HSPC) with “high-volume” disease b overall survival in hormone-sensitive prostate cancer (HSPC) with “low-volume” disease

Forest and funnel plots showing the association of alkaline phosphatase (ALP) with oncologic outcomes: a overall survival in hormone-sensitive prostate cancer (HSPC) with “high-volume” disease b overall survival in hormone-sensitive prostate cancer (HSPC) with “low-volume” disease

Association of ALP with OS in HSPC with “low volume”

Six studies including 1039 patients provided data on the association of ALP with OS in HSPC with “low-volume” disease. The forest plot (Fig. 3b) showed that ALP was significantly associated with OS in HSPC with “low-volume” disease (pooled HR 1.64; 95% CI 1.06−2.52; z = 2.25). The Cochrane Q test (χ2 = 22.10; P = 0.001) and I2 test (I2 = 77.4%) showed significant heterogeneity. The funnel plot identified three studies over the pseudo 95% CI (Fig. 3b).

Discussion

In this systematic review and meta-analysis, we investigated the prognostic value of ALP in HSPC by assessing its impact on PFS, CSS, and OS. We found that the HSPC patients with elevated ALP have significantly worse OS and PFS compared to their counterparts with normal ALP levels. In other words, pre-treatment ALP values may be a useful biomarker in the choice of treatment, even in early metastatic PC. The prognostic value of ALP has been shown in various solid malignancies with bone metastasis [11-13]. However, while there is a biological rationale underlying this association, the exact mechanism remains unclear. A potential explanation is that when cancer starts to metastasize, ALP reflects bone turnover, osteoblast activity, and osteoid formation in the adjacent bone tissues [70]. Thus, ALP may be an indicator of bone metastatic tumor load. Accordingly, ALP has been shown to be elevated in cancer patients with bone metastasis, as the current literature shows, ALP is already among the biomarkers included in the tools used for prognosticating outcomes in CRPC patients [5-8]. Interestingly, ALP was significantly associated with worse OS in metastatic HSPC patients not only with “high-volume” disease, but also with “low-volume” disease, suggesting that ALP is an indirect sensitive measure of metastatic tumor burden which could not be captured by conventional imaging. It is likely that the elevated ALP reflects micro metastases despite negative findings on conventional imaging. Although few studies have assessed this patient subgroup, ALP could be used to select patients who may benefit more from intensive therapy such as upfront docetaxel or abiraterone in addition to standard androgen deprivation therapy. Moreover, ALP could also be used as a response/monitoring marker for these therapies as well as bone-targeting therapies such as bisphosphonate. Despite showing a strong association of ALP with mortality and progression in HSPC patients, this systematic review and meta-analysis has some limitations. There is a reporting bias, as some studies with negative results may not have been published. Further, many included studies were retrospective, leading to a patient selection bias. Second, unknown pretreatment conditions (i.e., physical conditions, comorbidities, obstructive jaundice, bone disease, hyperthyroidism and hepatitis, medication, and life-style habits) could have altered ALP values leading to a systematic bias. Third, heterogeneity was detected for OS, CSS, and PFS analyses limiting the value of these results. Although the random effect model takes into account the heterogeneity among studies, the conclusions should be interpreted with caution. Fourth, there is no established cut-off value for ALP among the included studies; most investigators chose the cut-off based on the statistical methods assessing for the highest sensitivity and specificity, using the upper limit of normal, or using literature predefined ALP cut-offs. Only three studies investigated ALP as a continuous variable. Regardless of these limitations, ALP is a fast and readily available biomarker. Well-designed prospective studies with longer follow-up are needed to validate the prognostic value of ALP and its potential value in risk stratification of patients with HSPC using clinical decision-analytical tools.

Conclusions

In this meta-analysis, high serum ALP was associated with an increased risk of overall mortality and disease progression in patients with HSPC. In contrast, high serum ALP was not associated with an increased risk of cancer-specific mortality. Furthermore, ALP was an independent risk factor for OS in HSPC patients with both “high-volume” and “low-volume” metastatic disease. ALP may be useful for clinical decision making regarding treatment selection, as well as for patient counselling. However, considering the limitations including heterogeneity, the conclusions should be interpreted with caution.
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