Skip to main content

SYSTEMATIC REVIEW article

Front. Oncol., 09 November 2023
Sec. Genitourinary Oncology
This article is part of the Research Topic The Mechanism of Tumor Evolution and Microenvironmental Changes of Genitourinary Oncology in Clinical Diagnosis and Treatment - Volume II View all 10 articles

Prognostic value of preoperative albumin-to-alkaline phosphatase ratio in patients with surgically treated urological cancer: a systematic review and meta-analysis

Shangqing Ren&#x;Shangqing Ren1†Han Wang&#x;Han Wang2†Bo YangBo Yang3Yang Zheng,Yang Zheng1,4Yong Ou,Yong Ou1,4Yige Bao*Yige Bao5*Yu Mao*Yu Mao3*Yunlin Feng*Yunlin Feng6*
  • 1Robotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China
  • 2Department of Gastroenterology, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China
  • 3Department of Pediatric Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China
  • 4School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
  • 5Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
  • 6Department of Nephrology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China

Objective: A novel albumin-to-alkaline phosphatase ratio (AAPR) is associated with the prognosis of several cancers. In the present study, we evaluate the prognostic significance of perioperative AAPR in urological cancers.

Method: Relevant studies were searched comprehensively from CNKI, PubMed, Embase and Web of Science up to March 2023. The pooled hazard ratio (HR) and 95% confidence interval (CI) were extracted from each study to evaluate the prognostic value of perioperative AAPR in patients with surgically treated urological cancers.

Results: A total of 8 studies consisting of 3,271 patients were included in the final results. A low AAPR was significantly associated with a worse OS (HR=2.21; P<0.001), CSS (HR=2.61; P<0.001) and RFS/DFS (HR=2.87; P=0.001). Stratified by disease, a low AAPR was also associated with worse OS in renal cell carcinoma (HR=2.01; P<0.001), bladder cancer (HR=3.37; P<0.001) and upper tract urothelial carcinoma (HR=1.59; P=0.002).

Conclusion: In conclusion, low AAPR could serve as an unfavorable factor in patients with surgically treated urological cancers. Stratified by tumor type, the low AAPR was also associated with inferior survival. While more prospective and large-scale studies are warranted to validate our findings.

Introduction

Urological cancers, mainly consisting of renal cell carcinoma (RCC), bladder cancer (BC), and prostate cancer (PCa), represent an increased global burden on human healthcare (1). RCC accounts for approximately 2%-3% of all malignancies (1). PCa is one of the common cancers in men, ranking the second most common cancer in 2020 worldwide (2). BC is also one of the most common malignancies, with an estimated 570,000 new cases and 210,000 deaths in 2020 worldwide (2).

Although the development of novel therapeutics such as immunotherapy and molecular target drugs has greatly improved clinical outcomes of patients with urological cancers (35), the cornerstone of treatment for localized for urological cancers has always been surgical resection (1). The management of urological cancer still face the dilemma of low objective response rate, local recurrence, and distant metastases. Therefore, identifying the prognostic factors of patients would be of great value to patients’ risk stratification, treatment selection, and long-term outcomes prediction.

TNM stage, tumor grade, and histology are commonly used prognostic factors, yet bear the risk of missing information associated with patient-related factors. Increasing evidence has suggested that host nutrition status plays an important role in cancer development and progression (68), such as controlling nutritional status (CONUT) score and prognostic nutrition index (PNI) which have been found relevant to the prognosis of urological cancers (9, 10). Albumin-to-alkaline phosphatase ratio (AAPR) is another novel serum biomarker of nutritional status that has been demonstrated to be associated with the prognosis of several cancers, including lung cancer, hepatocellular carcinoma, and urological cancers (1114); however, its role in urological cancers has only been reported in sporadic reports. There is a lack of evidence-based conclusion on the value of AAPR in urological cancer.

Therefore, we conducted this systematic review and meta-analysis to summarize all relevant studies and evaluate the prognostic significance of preoperative AAPR in patients with surgically treated urological cancers, in the hope of clarifying the value of AAPR in this field and provide evidence-based information for future studies.

Materials and methods

Search strategy

The study was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement (15). Relevant studies were searched comprehensively from CNKI, PubMed, Embase, and Web of Science up to 2023 March 08. The study search was conducted independently by two authors (SQR and HW) using search terms relevant to AAPR and urological cancers. The detailed search strategies are shown in Supplementary Table 1. References of eligible studies were also manually screened to avoid any omission.

Study screening

Studies eventually included in the systematic review must meet the following criteria (1): population-based studies; (2) reported patients with surgically treated urological cancers; (3) had AAPR with accurate definition and calculation based on accepted formula; (4) evaluated the prognostic value of preoperative AAPR; (5) reported analyzable data such as hazard ratio (HR) and 95% confidence interval (CI).

Studies were excluded if they met any of the following criterion: (1) did not report AAPR; (2) did not report sufficient data for meta-analysis; (3): review and conference abstracts. For reports of the same cohort, the study with the largest and latest data was included.

The study screening was conducted independently by two authors (SQR and HW). Any discrepancy was resolved by a third author (YLF).

Studied outcomes

The primary outcome of this systematic review is patient survival which might be reported in different modes, including overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), and recurrence-free survival (RFS).

Data extraction and quality assessment

Two authors (SQR and YLF) extracted the following information from eligible studies independently based on the predefined items: the surname of the first author, publication year, participant, study design, disease, interventions, number and ages of patients, the cut-off value of AAPR, and duration of follow-up. The quality of studies was assessed by the Newcastle-Ottawa Quality Assessment Scale (NOS) which includes three main aspects, namely selection, comparability, and exposure/outcome. The total NOS scores ranges from 0 to 9, and a score of 7 or higher is deemed to be high quality (16).

Statistical analysis

All statistical analyses were performed with STATA (version 12, StataCorp, College Station, TX, USA). Pooled HRs and 95%CIs were extracted from each study to evaluate the prognostic value of AAPR in patients with urological cancers. The Cochran’s Q test and the Higgins’ I2 statistic were used to evaluate the heterogeneity across studies (17). If the I2≥50% or P<0.10, the random-effect model was used, otherwise the fixed-effect model was applied. The sensitivity analyses were performed to identify the stability of the final results by omitting each study in sequence. The publication bias was tested by Egger’s test and Begg’s test. If publication bias was detected, the trim and fill method was conducted to estimate the missing studies and recalculate the pooled HRs (18). A two-sided P-value of <0.05 was considered significant.

Results

A total of 89 records were identified through the electronic database search. After removing the 27 duplicated records, the remaining 62 records were screened. 19 studies were reviewed in full-text after screening based on titles and abstracts. Finally, 8 studies consisting of 3,271 patients were included in the meta-analysis (11, 13, 1924). The detailed flow diagram was illustrated in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1 PRISMA flow diagram of the study.

Clinical characteristics of the included studies

All eight studies were retrospective cohort studies and had been published within the past 5 years. These studies reported a variety of urological cancers, including 4 for non-metastatic renal cell carcinoma (RCC) treated with nephrectomy (13, 19, 22, 23), 2 studies for BC treated with radical cystectomy (11, 24), 1 for upper tract urothelial carcinoma (UTUC) treated with radical nephroureterectomy (21), and 1 study involved prostate cancer treated with radical prostatectomy (20). The sample size of the studies ranged from 127 to 803. The cut-off value of APRP in each study is not uniform, ranging from 0.37 to 0.64. 6 studies had reported the overall survival (OS) (11, 19, 2124), 6 studies had reported the cancer-specific survival (CSS) (11, 13, 2124), and 5 studies reported disease-free survival (DFS)/recurrence-free survival (RFS) (11, 13, 20, 21, 24). All studies were regarded as high quality with NOS scores higher than 7. The basic characteristic of included studies were summarized in Table 1.

TABLE 1
www.frontiersin.org

Table 1 Basic characteristics of included studies.

Survival outcomes

In the six studies that had reported the OS, low AAPR was significantly associated with worse OS compared with high AAPR (HR=2.21, 95% CI 1.60-3.05, P<0.001; I2 = 49.7%, P=0.077; Figure 2A). In the six studies that had reported the CSS, low AAPR was also significantly associated with worse CSS compared with high AAPR (HR=2.61, 95% CI 1.80-3.76, P<0.001; I2 = 47.7%, P=0.089; Figure 2B). In the five studies that had reported the DFS/RFS, low AAPR again was associated with worse DFS/RFS compared with high AAPR (HR=2.87, 95% CI 1.57-5.25, P=0.001; I2 = 84.4%, P<0.001; Figure 2C).

FIGURE 2
www.frontiersin.org

Figure 2 The association between AAPR and studied survival outcomes in patients with surgically treated urological cancers. Low AAPR was significantly associated with worse OS (A), CSS (B) and DFS/RFS (C) compared with high AAPR.

Sensitivity analysis

The sensitivity analysis for OS and CSS by removing each study in sequence to reflect the impact of any individual study on the overall effect indicated that removing any single study did not dramatically change the trend of our results (Figure 3), indicating the robustness of the results.

FIGURE 3
www.frontiersin.org

Figure 3 Sensitivity analysis for the studied outcomes. Removing any single study did not dramatically change the trend of our results in OS (A) and CSS (B).

Publication bias

Only the publication bias for OS and CSS were evaluated due to the small number of enrolled studies. A conflicting result according to the Egger’s test (OS: P=0.038; CSS: P=0.026) and Begg’s test (OS: P=0.060; CSS: P=0.260). Therefore, we conducted the trim and fill method to identify the effect of publication bias, finding that 3 studies were potentially missing in OS and CSS using the random-effect model (Figure 4). This approach resulted in a similar result, the pooled HRs for OS and CSS were 1.73 (95%CI 1.23-2.43, P=0.002) and 1.96 (95%CI 1.33-2.89, P=0.001), respectively.

FIGURE 4
www.frontiersin.org

Figure 4 The trim and fill method to estimate publication bias for the survival outcomes. Three studies were potentially missing in OS (A) and CSS (B) using the random-effect model.

Subgroup analysis

Subgroup analysis stratified by disease, number of patients and cut-off value of AAPR were conducted and indicated that disease and cut-off value of AAPR might be the source of heterogeneity of OS, but not for the CSS. In the subgroup analysis of disease, low AAPR predicts poor OS and CSS in RCC, BC, and UTUC. And in the subgroup with different sample sizes, low AAPR was also associated with the worse OS and CSS. As for cut-off value, low AAPR was an unfavorable factor in both subgroups. The detailed information was summarized in Table 2.

TABLE 2
www.frontiersin.org

Table 2 Subgroup analyses of studied outcomes.

Discussion

The present study evaluated the association between AAPR and survival outcomes of urological cancers. The findings indicated that low AAPR was associated with poor survival outcomes of urological cancers. When stratified by diseases, low AAPR also predicted worse OS and CSS in RCC, BC, and UTUC. The cut-off values of AAPR and sample sizes in each individual study varied greatly. Corresponding subgroup analysis found these factors did not significantly affect the final results.

Urological cancers account for a relatively large proportion of all solid tumors, in which local recurrence or metastasis are highly likely to occur. For example, about three-fourths of high-risk bladder cancer will recur, progress, or die within 10 years after initial diagnosis (25). Besides, nearly 30% of RCC patients will develop local or distant recurrence after surgical resection (26). The prognosis of metastatic prostate cancer is also poor, with an approximate 5-year survival rate of 30% (27). Therefore, exploring prognostic factors of urological cancers has important role in the management of this population.

The association between nutrition and malignancy has been widely explored in the past decades. Sarcopenia, the degenerative and systemic loss of skeletal muscle mass, indicates patient frailty and unfavorable prognosis in urological cancer patients (28). The prognostic nutritional index (PNI), reflecting immune and nutritional status based on the serum lymphocyte count and albumin level, is associated with prognosis of RCC (10). AAPR, a novel nutritional index, was firstly introduced and observed to be associated with the prognosis in hepatocellular carcinoma (29). Hu et al. investigated patients with surgically treated non-metastatic renal cell carcinoma and found that low AAPR was an unfavorable prognostic factor. They also found that AAPR improved the predictive value of well-established models (23). Won et al. validated the prognostic value of AAPR in patients with RCC treated with nephrectomy using propensity score matching analysis (13). Yoshino et al. demonstrated that baseline AAPR was significantly associated with OS in patients with mRCC receiving nivolumab monotherapy (30). Furthermore, AAPR could predict survival outcomes in UTUC and bladder cancer patients treated with surgery (11, 21). As for prostate cancer, Zhang et al. revealed that AAPR was associated with biochemical recurrence-free survival (20). Based on the above-mentioned evidence, high AAPR could be served as an unfavorable factor in cancer patients. However, for the other urological cancers such as testicular and penile cancer, there is no relevant report about the association between perioperative AAPR and patients’ prognosis. And more large-scale studies are required to verify our findings.

AAPR is a ready to use index in clinical practice. It is calculated based on the albumin and ALP values, which are convenient, easily obtained and commonly tested before treatment. AAPR could predict the prognosis of patients, which could be used for risk stratification. It could provide physicians with useful information and guide the treatment, adjuvant therapy, and follow-up for patients. While, the optimal cut-off value of AAPR remains unclear, which is need further exploration. The potential mechanisms for the prognostic value of AAPR might be explained by the functions of albumin and alkaline phosphatase (ALP). Albumin is a stable and abundant serum protein, reflecting the nutritional status. It also represents systemic inflammatory response, as inflammation that could influence the synthesis of albumin (31). Albumin also can stabilize cell proliferation and growth, as well as exert antioxidants agents against carcinogens (32). Evidence has found that albumin could predict prognosis in various malignancies such as RCC and bladder cancer (33, 34). ALP is a hydrolytic enzyme, found primarily in the bile duct, liver, kidney, bone, and several other organs. ALP can be affected by liver function damage from chronic wasting diseases and the cancer-related inflammatory microenvironment (35). The level of ALP level increases under certain pathological conditions, such as hepatocellular carcinoma, kidney, and bone diseases (21). ALP could also act as a potential indicator of oxidative stress and promotes high mutagenic metabolic activities, resulting in more aggressive carcinogenesis (36, 37). ALP has been reported to be associated with prognosis of gastric cancer, RCC, and hepatocellular carcinoma (3840). Therefore, low AAPR may indicate low albumin and high ALP levels, suggesting weak nutrition and abnormal immune response in patients and finally facilitating the tumor invasion and metastasis.

Our study had limitations. First, only 8 studies consisting of 3,271 patients were included and the number of studies for each cancer is also limited, which may limit the power of final results. Second, all studies were retrospective studies with the potential inherent bias, which might account for the observed heterogeneities. Third, there are several factors unavailable including age and stage at subgroup analyses, precluding from additional investigations.

Conclusion

In conclusion, low AAPR could serve as an unfavorable factor for the survival outcomes in patients with surgically treated urological cancers. Stratified by tumor type, the low AAPR was also associated with worse survival. More prospective and large-scale studies are warranted to validate our findings.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Author contributions

SR and YF: Study conception and design, acquisition of data, analysis and interpretation of data and drafting of paper. SR, HW and YM: Acquisition of data, analysis and interpretation of data. YB, SR, and YF: Acquisition of data, drafting of paper and critical revision. YZ, YO, SR, and BY: Study conception and design, drafting of paper and critical revision. All authors contributed to the article and approved the submitted version.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study is supported by 2022YFS0135, 2023YFS0173, 2023YFSY0027 and SCR2023-210.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1236167/full#supplementary-material

References

1. Dy GW, Gore JL, Forouzanfar MH, Naghavi M, Fitzmaurice C. Global burden of urologic cancers, 1990-2013. Eur Urol (2017) 71(3):437–46. doi: 10.1016/j.eururo.2016.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Fitzgerald KN, Lee CH. Personalizing first-line management of metastatic renal cell carcinoma: leveraging current and novel therapeutic options. J Natl Compr Cancer Network JNCCN (2022) 20(13). doi: 10.6004/jnccn.2022.7003

CrossRef Full Text | Google Scholar

4. Audisio M, Tucci M, Di Stefano RF, Parlagreco E, Ungaro A, Turco F, et al. New emerging targets in advanced urothelial carcinoma: is it the primetime for personalized medicine? Crit Rev oncology/hematology (2022) 174:103682. doi: 10.1016/j.critrevonc.2022.103682

CrossRef Full Text | Google Scholar

5. Yamada Y, Beltran H. The treatment landscape of metastatic prostate cancer. Cancer Lett (2021) 519:20–9. doi: 10.1016/j.canlet.2021.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Pena NF, Mauricio SF, Rodrigues AMS, Carmo AS, Coury NC, Correia M, et al. Association between standardized phase angle, nutrition status, and clinical outcomes in surgical cancer patients. Nutr Clin Pract Off Publ Am Soc Parenteral Enteral Nutr (2019) 34(3):381–6. doi: 10.1002/ncp.10110

CrossRef Full Text | Google Scholar

7. Bossi P, Delrio P, Mascheroni A, Zanetti M. The spectrum of malnutrition/cachexia/sarcopenia in oncology according to different cancer types and settings: A narrative review. Nutrients (2021) 13(6):1980. doi: 10.3390/nu13061980

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Bullock AF, Greenley SL, McKenzie GAG, Paton LW, Johnson MJ. Relationship between markers of malnutrition and clinical outcomes in older adults with cancer: systematic review, narrative synthesis and meta-analysis. Eur J Clin Nutr (2020) 74(11):1519–35. doi: 10.1038/s41430-020-0629-0

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Niu X, Zhu Z, Bao J. Prognostic significance of pretreatment controlling nutritional status score in urological cancers: A systematic review and meta-analysis. Cancer Cell Int (2021) 21(1):126. doi: 10.1186/s12935-021-01813-2

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Shim SR, Kim SI, Kim SJ, Cho DS. Prognostic nutritional index as a prognostic factor for renal cell carcinoma: A systematic review and meta-analysis. PloS One (2022) 17(8):e0271821. doi: 10.1371/journal.pone.0271821

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Li S, Lu S, Liu X, Chen X. Association between the pretreatment albumin-to-alkaline phosphatase ratio and clinical outcomes in patients with bladder cancer treated with radical cystectomy: A retrospective cohort study. Front Oncol (2021) 11:664392. doi: 10.3389/fonc.2021.664392

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Sandfeld-Paulsen B, Aggerholm-Pedersen N, Winther-Larsen A. Pretreatment albumin-to-alkaline phosphatase ratio is a prognostic marker in lung cancer patients: A registry-based study of 7077 lung cancer patients. Cancers (2021) 13(23):6133. doi: 10.3390/cancers13236133

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Won I, Shim SR, Kim SI, Kim SJ, Cho DS. Albumin-to-alkaline phosphatase ratio as a novel prognostic factor in patients undergoing nephrectomy for non-metastatic renal cell carcinoma: propensity score matching analysis. Clin genitourinary Cancer (2022) 20(3):e253–e62. doi: 10.1016/j.clgc.2022.01.012

CrossRef Full Text | Google Scholar

14. Zhang X, Xin Y, Chen Y, Zhou X. Prognostic effect of albumin-to-alkaline phosphatase ratio on patients with hepatocellular carcinoma: A systematic review and meta-analysis. Sci Rep (2023) 13(1):1808. doi: 10.1038/s41598-023-28889-2

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. PloS Med (2009) 6(7):e1000097. doi: 10.1371/journal.pmed.1000097

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Margulis AV, Pladevall M, Riera-Guardia N, Varas-Lorenzo C, Hazell L, Berkman ND, et al. Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: the newcastle-ottawa scale and the rti item bank. Clin Epidemiol (2014) 6:359–68. doi: 10.2147/CLEP.S66677

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ (Clinical Res ed) (2003) 327(7414):557–60. doi: 10.1136/bmj.327.7414.557

CrossRef Full Text | Google Scholar

18. Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics (2000) 56(2):455–63. doi: 10.1111/j.0006-341x.2000.00455.x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Chen F, Chen Y, Zou Y, Wang Y, Wu X, Pu Y, et al. Evaluation value of preoperative prognostic nutritional index and albumin /alkaline phosphatase ratio in prognosis of patients with renal cancer. J Regional Anat Operative Surg (2021) 30(11):965–70. doi: 10.11659/jjssx.03E021127

CrossRef Full Text | Google Scholar

20. Zhang Z, Zhou Q, Zhang J, Pu J, Ou Y. Predictive value of preoperative albumin-to-alkaline phosphatase ratio on biochemical recurrence after radical prostatectomy. J Dalian Med University (2021) 43(05):413–8. doi: 10.11724/jdmu.2021.05.06

CrossRef Full Text | Google Scholar

21. Tan P, Xie N, Ai J, Xu H, Xu H, Liu L, et al. The prognostic significance of albumin-to-alkaline phosphatase ratio in upper tract urothelial carcinoma. Sci Rep (2018) 8(1):12311. doi: 10.1038/s41598-018-29833-5

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Xia A, Chen Y, Chen J, Pan Y, Bao L, Gao X. Prognostic value of the albumin-to-alkaline phosphatase ratio on urologic outcomes in patients with non-metastatic renal cell carcinoma following curative nephrectomy. J Cancer (2019) 10(22):5494–503. doi: 10.7150/jca.34029

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Hu X, Yang ZQ, Dou WC, Shao YX, Wang YH, Lia T, et al. Validation of the prognostic value of preoperative albumin-to-alkaline phosphatase ratio in patients with surgically treated non-metastatic renal cell carcinoma. OncoTargets Ther (2020) 13:8287–97. doi: 10.2147/ott.S264217

CrossRef Full Text | Google Scholar

24. Zhao M, Zhang M, Wang Y, Yang X, Teng X, Chu G, et al. Prognostic value of preoperative albumin-to-alkaline phosphatase ratio in patients with muscle-invasive bladder cancer after radical cystectomy. OncoTargets Ther (2020) 13:13265–74. doi: 10.2147/ott.S285098

CrossRef Full Text | Google Scholar

25. Chamie K, Litwin MS, Bassett JC, Daskivich TJ, Lai J, Hanley JM, et al. Recurrence of high-risk bladder cancer: A population-based analysis. Cancer (2013) 119(17):3219–27. doi: 10.1002/cncr.28147

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Jamil ML, Keeley J, Sood A, Dalela D, Arora S, Peabody JO, et al. Long-term risk of recurrence in surgically treated renal cell carcinoma: A post hoc analysis of the eastern cooperative oncology group-american college of radiology imaging network E2805 trial cohort. Eur Urol (2020) 77(2):277–81. doi: 10.1016/j.eururo.2019.10.028

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA: Cancer J Clin (2023) 73(1):17–48. doi: 10.3322/caac.21763

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Fukushima H, Koga F. Impact of sarcopenia in the management of urological cancer patients. Expert Rev Anticancer Ther (2017) 17(5):455–66. doi: 10.1080/14737140.2017.1301209

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chan AW, Chan SL, Mo FK, Wong GL, Wong VW, Cheung YS, et al. Albumin-to-alkaline phosphatase ratio: A novel prognostic index for hepatocellular carcinoma. Dis Markers (2015) 2015:564057. doi: 10.1155/2015/564057

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Yoshino M, Ishihara H, Ishiyama Y, Tachibana H, Toki D, Yamashita K, et al. Albumin-to-alkaline phosphatase ratio as a novel prognostic marker of nivolumab monotherapy for previously treated metastatic renal cell carcinoma. In Vivo (Athens Greece) (2021) 35(5):2855–62. doi: 10.21873/invivo.12573

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Arroyo V, García-Martinez R, Salvatella X. Human serum albumin, systemic inflammation, and cirrhosis. J Hepatol (2014) 61(2):396–407. doi: 10.1016/j.jhep.2014.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Nojiri S, Joh T. Albumin suppresses human hepatocellular carcinoma proliferation and the cell cycle. Int J Mol Sci (2014) 15(3):5163–74. doi: 10.3390/ijms15035163

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Zhou X, Fu G, Zu X, Xu Z, Li HT, D'Souza A, et al. Albumin levels predict prognosis in advanced renal cell carcinoma treated with tyrosine kinase inhibitors: A systematic review and meta-analysis. Urologic Oncol (2022) 40(1):12.e3–.e22. doi: 10.1016/j.urolonc.2021.08.001

CrossRef Full Text | Google Scholar

34. Li J, Cheng Y, Liu G, Ji Z. The association of pretreatment serum albumin with outcomes in bladder cancer: A meta-analysis. OncoTargets Ther (2018) 11:3449–59. doi: 10.2147/ott.S162066

CrossRef Full Text | Google Scholar

35. Xiong JP, Long JY, Xu WY, Bian J, Huang HC, Bai Y, et al. Albumin-to-alkaline phosphatase ratio: A novel prognostic index of overall survival in cholangiocarcinoma patients after surgery. World J gastrointestinal Oncol (2019) 11(1):39–47. doi: 10.4251/wjgo.v11.i1.39

CrossRef Full Text | Google Scholar

36. López-Posadas R, González R, Ballester I, Martínez-Moya P, Romero-Calvo I, Suárez MD, et al. Tissue-nonspecific alkaline phosphatase is activated in enterocytes by oxidative stress via changes in glycosylation. Inflammatory bowel Dis (2011) 17(2):543–56. doi: 10.1002/ibd.21381

CrossRef Full Text | Google Scholar

37. Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature (2008) 454(7203):436–44. doi: 10.1038/nature07205

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Wu YJ, Wang Y, Qin R, Cao ZY, Zhao HZ, Du XH, et al. Serum alkaline phosphatase predicts poor disease-free survival in patients receiving radical gastrectomy. Med Sci monitor Int Med J Exp Clin Res (2018) 24:9073–80. doi: 10.12659/msm.910480

CrossRef Full Text | Google Scholar

39. Lee SE, Byun SS, Han JH, Han BK, Hong SK. Prognostic significance of common preoperative laboratory variables in clear cell renal cell carcinoma. BJU Int (2006) 98(6):1228–32. doi: 10.1111/j.1464-410X.2006.06437.x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Wu SJ, Lin YX, Ye H, Xiong XZ, Li FY, Cheng NS. Prognostic value of alkaline phosphatase, gamma-glutamyl transpeptidase and lactate dehydrogenase in hepatocellular carcinoma patients treated with liver resection. Int J Surg (London England) (2016) 36(Pt A):143–51. doi: 10.1016/j.ijsu.2016.10.033

CrossRef Full Text | Google Scholar

Keywords: albumin-to-alkaline phosphatase ratio, urological cancer, prognostic value, meta-analysis, surgical

Citation: Ren S, Wang H, Yang B, Zheng Y, Ou Y, Bao Y, Mao Y and Feng Y (2023) Prognostic value of preoperative albumin-to-alkaline phosphatase ratio in patients with surgically treated urological cancer: a systematic review and meta-analysis. Front. Oncol. 13:1236167. doi: 10.3389/fonc.2023.1236167

Received: 09 August 2023; Accepted: 25 October 2023;
Published: 09 November 2023.

Edited by:

Hailiang Zhang, Fudan University, China

Reviewed by:

Sentai Ding, Shandong Provincial Hospital, China
Emmanuel Asante-Asamani, Clarkson University, United States

Copyright © 2023 Ren, Wang, Yang, Zheng, Ou, Bao, Mao and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yunlin Feng, fengyunlin@med.uestc.edu.cn; Yu Mao, toil112@163.com; Yige Bao, baoyige@hotmail.com

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.