Skip to main content

SYSTEMATIC REVIEW article

Front. Oncol., 03 August 2023
Sec. Genitourinary Oncology

Up-regulated serum lactate dehydrogenase could become a poor prognostic marker in patients with bladder cancer by an evidence-based analysis of 2,182 patients

Xiaoyu Wei&#x;Xiaoyu Wei1†Yumeng Chai&#x;Yumeng Chai2†Zhouyue LiZhouyue Li2Xuanyan CheXuanyan Che2Yong ZhangYong Zhang2Zhongbao Zhou*Zhongbao Zhou2*Xiang Wang*Xiang Wang3*
  • 1Department of Oncology, Tianjin Binhai New Area Hospital of Traditional Chinese Medicine, Tianjin, China
  • 2Department of Urology, Beijing TianTan Hospital, Capital Medical University, Beijing, China
  • 3Department of Urology, Tengzhou Central People’s Hospital, Tengzhou, China

Background: A growing number of studies have considered serum lactate dehydrogenase (LDH) as an indicator of bladder cancer (BC) prognosis. However, a meta-analysis of the serum LDH’s influence on BC prognosis is still missing.

Methods: PubMed, EMBASE, Web of Science and Cochrane Library were exhaustively searched for studies comparing oncological outcomes between high-LDH and low-LDH patients. Standard cumulative analyses using hazard ratios (HR) with 95% confidence intervals (CI) were performed using Review Manager (version 5.3) for overall survival (OS) in patients with BC.

Results: Six studies involving 2,182 patients were selected according to predefined eligibility criteria. The results showed that serum LDH level was significantly associated with OS (HR = 1.86, 95%CI = 1.54-2.25, p<0.0001) in BC. Sensitivity analysis showed the stability of the results. Subgroup analysis revealed that the levels of serum LDH had a significant impact on the OS of BC patients among different groups including publication time, research country, sample size, tumor stage, LDH cut-off value, therapy and follow-up time (all HR>1 and p<0.05), revealing that the ability of serum LDH is not affected by other factors.

Conclusion: Our findings indicated that a high level of serum LDH was associated with inferior OS in patients with BC. However, caution must be taken before recommendations are given because this interpretation is based upon very few clinical studies and a small sample.

1 Introduction

Bladder cancer (BC) is a particularly frequent genitourinary cancer (1, 2). Nearly 70 percent to 80 percent of patients had non-muscle-invasive tumor at the time of diagnosis, which can be effectively treated by transurethral cancer surgical removal (3). Nonetheless, twenty percent to thirty percent of newly identified individuals have muscle-invasive BC, and 30% of non-muscle-invasive BC continues to progress to muscle-invasive tumor (3). Regarding patients of muscle-invasive BC, radical cystectomy plus prolonged pelvic lymph node resection is the most common medical strategy (4). Although undergoing radical surgery, long-term prognosis is poor for these patients, with statistics of approximately fifty percent for 5-year survival (5). Immunotherapy, as a developing treatment method for BC in recent years, has unlimited potential, especially with the latest reports of multiple immune predictive molecules including Siglec15 immunotherapy (6), BCAT2 immunotherapy (7), 5mC regulator-based sub-type system (8) and PLR.GHR based prediction model (9) providing deeper insights into the immune therapy response and precise treatment of BC patients. Because the existing tumor staging system performs poorly, predictive variables are required to properly predict oncological results and efficiently divide patients with BC for perfect care.

The Warburg effect occurs when majority malignant cells use metabolism of glucose via glycolysis to create sufficient ATP to drive cancer progression (10). Lactate dehydrogenase (LDH), a type of oxidoreductase involved in glycolysis, can transform pyruvate to lactate with the endpoint of glycolysis; hence, LDH is viewed as a prospective biological target in the growth of novel glycolytic inhibitor utilized in cancer treatment (11, 12). Because of its relationship with cancer metabolic alterations, LDH could serve as a marker of cancer progression (13). Numerous investigations have been performed in the prediction of the prognosis of BC patients using serum LDH, but there was still a lack of evidence from the perspective of evidence-based medicine (EBM). There is an urgent need for clear data establishing the predictive relevance of serum LDH in BC. The purpose of this meta-analysis was to determine the effect of serum LDH level on BC outcomes.

2 Methods

2.1 Search strategy and eligibility

Two authors performed a systematic search of PubMed, Embase, Web of Science, and the Cochrane Library, from inception up until Apr 2023. The search strategy involved only clinical studies assessing the oncologic impact of serum LDH for BC patients. Search terms included: (“Lactate dehydrogenase”) and (“bladder cancer” or “bladder urothelial carcinoma”). Additional manual searching was conducted for pertinent studies and citations. There were no language restrictions on the included articles. The search strategy was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement and AMSTAR (Assessing the methodological quality of systematic reviews) Guidelines (14, 15).

2.2 Study selection criteria

Studies were included, if they met all of the following criteria:

(1) Patients with BC at the time of diagnosis;

(2) Oncologic outcomes included overall survival (OS);

(4) Survival data included hazard ratios (HR) and corresponding 95% confidence intervals (CI), or Kaplan-Meier curves comparing survival between high-LDH and low-LDH patients;

(5) Prospective or retrospective studies analyzing the relationship between serum LDH and BC prognoses.

When multiple studies reported findings based upon an identical study population, only the study with most detailed information was included for analysis. Exclusion criteria: not clinical trials, such as abstract, review, comment, in vitro studies, case reports, brief reports, conference posters, or animal experiment.

2.3 Systematic review process

After duplicates were removed, two authors performed independent reviews of 315 reports. Discrepancies were resolved through consensus. Eventually, only six studies were selected for data extraction and quality assessment. The PRISMA flowchart depicting the review process is presented in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1 PRISMA of selection process.

2.4 Data extraction

Data were extracted from full length articles by two reviewers independently using a standardized-items form. Extracted information, included: authors, year of publication, country/region, type of study, sample size, age, tumor type, tumor stage, LDH cut-off value, LDH value selection, therapy, survival analysis, outcomes, follow-up time. Hazard ratio (HR) and 95% confidence interval (CI) extraction from multivariate analyses was prioritized. If only Kaplan-Meier curves were available, the relevant data were extracted using Engauge Digitizer 4.1 to calculate HR and 95%CI (16, 17).

2.5 Quality assessment and Statistical analysis

The quality of studies was assessed independently by two reviewers using the Newcastle-Ottawa scale (NOS), which is recommended for the assessment of non-randomized studies (18). The NOS scale assesses risk across three domains i.e., patient selection, comparability of groups and outcomes. Any divergences of opinion were settled through discussion or by arbitration with a third reviewer.

Log HR and variance were extracted from all studies and synthesized. For each trial, HRs for survival with corresponding 95% CIs were analyzed in terms of the impact of serum LDH for BC patients on oncologic outcomes. Sensitivity analysis was to be performed where analysis highlighted high levels of heterogeneity. The purpose would be to assess the reliability of findings and to identify potential sources of heterogeneity. Subgroup analysis was used to explore the effect of study classification on the index outcome. All data analyses were carried out with Review Manager (version 5.3; The Nordic Cochrane Centre, Copenhagen, Denmark). A p value of less than 0.05 was considered statistically significant.

3 Results

3.1 Study characteristics

The search and selection strategy yielded six publications, consisting of six separate clinical studies (3, 11, 1922). Finally, 2,182 participants were involved and diagnosed with BC. Summaries of demographics, study design and clinical characteristics for each of the included studies has been provided in Table 1.

TABLE 1
www.frontiersin.org

Table 1 The characteristics of included studies.

All included studies’ design type were retrospective study. The studies were conducted in China (n=3), Japan (n=2) and Norway (n=1). The largest study was conducted in China and had 206 participants; the study with the largest number of participants was conducted in Japan, which had 1087 patients. Ages ranged from between 32-85 years and mean age ranged from between 63-73 years. The types of tumor staging included in the study mainly include: localized (n=1); advanced (n=2); recurrent (n=2); localized and advanced (n=1).

Overall, the median follow-up for this sample ranged from 6.8 to 71 months. No significant differences were observed within this sample. All studies were retrospective and after assessment each were found to have obtained scores of ≥6. This level of evidence is broadly considered adequate for meta-analysis (Table 2).

TABLE 2
www.frontiersin.org

Table 2 Quality assessment of the included studies.

3.2 Impact of serum LDH on OS

3.2.1 Overall

Pooled analysis suggested that there was no significant difference between the two groups (HR=1.86, 95% CI: 1.54-2.25, p<0.00001, Figure 2), low heterogeneity was observed across the trials (I2 = 18%). The results revealed that serum high LDH level was a risk factor for the OS of BC cases (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2 Forest plot of hazard ratio (HR) in BC patients for overall survival (OS).

3.2.2 Sensitivity analysis

Sensitivity analysis was applied by removing one trial to assess whether each study significantly affected the pooled HR, see Figure 3. The sensitivity analysis indicated that a single study could not significantly alter the pooled results of OS, implying the stability of the results of this study.

FIGURE 3
www.frontiersin.org

Figure 3 Sensitivity analysis for overall survival (OS) in BC patients.

3.2.3 Subgroup analysis

In order to explore the factors that may affect the effect of serum LDH on OS in BC patients, we conducted a subgroup analysis, mainly including: Publication time (1993-2015 and 2016-2023); Research country (China and Non-China); Sample size (<250 and ≥250); Tumor stage (Advanced and Recurrent); LDH cut-off value (ULN and Non-ULN); Therapy (All and Non-All); Follow-up time (<24 month and ≥24 month). The analysis found that the levels of serum LDH had a significant impact on the OS of BC patients among different groups, revealing that the ability of serum LDH is not affected by other factors (Table 3).

TABLE 3
www.frontiersin.org

Table 3 Subgroup analyses for overall survival in bladder cancer.

3.2.4 Publication bias

The basic symmetry of the funnel plot indicates that there is no significant publication bias based on this evidence at this stage (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4 Funnel plot assessing publication bias.

4 Discussion

This meta-analysis was conducted to investigate the prognostic value of serum LDH in BC. A total of 2,182 patients from 6 eligible retrospective studies were included. The results revealed that serum high LDH level was a risk factor for the OS of BC patients. The sensitivity analysis indicated that a single study could not significantly alter the pooled results of OS, implying the stability of the results of this study. Subgroup analysis revealed that the levels of serum LDH had a significant impact on the OS of BC patients among different groups including publication time, research country, sample size, tumor stage, LDH cut-off value, therapy and follow-up time, revealing that the ability of serum LDH is not affected by other factors.

Earlier studies have discovered that tumor cells metabolism variously than normal ones. Under the presence of enough oxygen, cancer cells would primarily consume glucose via glycolysis to create sufficient power for development that is referred to as the Warburg effect and constitutes one of the primary biochemical shifts in the transformation into cancer phase (23). Serum concentrations of LDH, an enzyme engaged in the glycolytic cycle, may indicate changes in metabolism (13). An elevated blood LDH concentration has been demonstrated to function as an adverse predicting indicator for numerous forms of cancer. LDH, a vital part of the Warburg effect, is found in practically all tissues and contains 6 distinct isoenzymes. Most isoenzymes can be made up of two subunits of protein, LDHA and LDHB, that can be arranged into a homo- or hetero-tetramer form (24).

The precise mechanism of predictive relevance of blood LDH in cancer patients is unknown. This was hypothesized that serum LDH levels could indicate the level of hypoxia in tumor cells (3). Due to their fast development, tumor cells are starved of oxygen (3). Cancer cells may deploy anaerobic glycolysis while producing energy, allowing them to be oxygen-independent. LDH is a glycolysis pathway participant that induces the transformation of pyruvate and lactate, and NADH and NAD+ assure the productivity of oncogenic aerobic glycolysis and may be detectable in the blood (25, 26). While tumor tissue necrotizes, excessive cellular amounts of LDH release themselves into the bloodstream, raising serum LDH levels (27). Furthermore, where metastatic spreads arise, cancer cells may cause harm to other tissues including the lung, liver, and bone. The destruction to such tissues may additionally result in a rise in serum LDH concentrations (28, 29). Finally, serum LDH appears to be a crucial determinant in the genesis of cancer. Its concentration can represent tumor load and act as an indication of cancer marker.

Furthermore, higher concentrations of LDH in the blood in cancer patients could represent a sign of immunosuppression. Several investigations have discovered that LDH suppresses and evades the immune system for malignant cells by altering the tumor micro-environment (30). Finally, representing for hypoxia in malignant cells and immunosuppression in malignancy individuals, which suggest a poor prognosis. Furthermore, LDH has emerged as an intriguing biological target for glycolytic inhibitors in potential anti-tumor treatment (31). As a result, serum LDH may be a viable predictive indicator as well as a molecular treatment option for BC. One meta-analysis has previously focused on the predictive importance of preoperative LDH in patients in urothelial carcinoma (UC). Wu et al. published a meta-analysis in 2020 to assess the predictive value of LDH in instances of urological malignancy, finding that an elevated level of preoperative serum LDH correlated with worse OS, CSS, and DFS among individuals with UC (32). Ultimately, serum LDH appears to serve as a crucial determinant in the genesis of cancer. Its concentration can represent tumor load and act as an indication of cancer marker.

While the meta-analysis revealed a strong link between LDH and BC, multiple drawbacks need to be acknowledged. For instance, all of the studies examined used retrospective methodologies, which increases the likelihood of bias. Second, dietary deficiencies, diseases, medications, and lifestyle variables may have altered blood-based markers, leading in biases. Third, no predetermined cut-off ratios for blood-based markers were discovered in the study. Lastly, because the majority of the individuals in our research sample were from an area of Asia, extrapolating the results may be difficult.

5 Conclusions

Our findings indicated that a high level of serum LDH was associated with inferior OS in patients with BC. However, caution must be taken before recommendations are given because this interpretation is based upon very few clinical studies and a small sample.

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

All authors constructed this study. WWe, ZZ, YC, ZL and XC performed the data analysis, figures plotted, and writing. ZZ, XWa and YZ were responsible for the critical reading of the manuscript. All authors contributed to the article and approved the submitted version.

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.

References

1. Lenis AT, Lec PM, Chamie K, Mshs MD. Bladder cancer: A review. Jama (2020) 324(19):1980–91. doi: 10.1001/jama.2020.17598

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lobo N, Afferi L, Moschini M, Mostafid H, Porten S, Psutka SP, et al. Epidemiology, screening, and prevention of bladder cancer. Eur Urol Oncol (2022) 5(6):628–39. doi: 10.1016/j.euo.2022.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Su S, Liu L, Sun C, Yang L, Nie Y, Chen Y, et al. Prognostic significance of serum lactate dehydrogenase in patients undergoing radical cystectomy for bladder cancer. Urol Oncol (2020) 38(11):852.e1–.e9. doi: 10.1016/j.urolonc.2020.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Stein JP, Skinner DG. Radical cystectomy for invasive bladder cancer: long-term results of a standard procedure. World J Urol (2006) 24(3):296–304. doi: 10.1007/s00345-006-0061-7

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Su S, Gu L, Ma X, Li H, Wang B, Shi T, et al. Comparison of laparoscopic and robot-assisted radical cystectomy for bladder cancer: perioperative and oncologic outcomes. Clin genitourinary Cancer (2019) 17(5):e1048–e53. doi: 10.1016/j.clgc.2019.06.007

CrossRef Full Text | Google Scholar

6. Hu J, Yu A, Othmane B, Qiu D, Li H, Li C, et al. Siglec15 shapes a non-inflamed tumor microenvironment and predicts the molecular subtype in bladder cancer. Theranostics (2021) 11(7):3089–108. doi: 10.7150/thno.53649

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Cai Z, Chen J, Yu Z, Li H, Liu Z, Deng D, et al. BCAT2 shapes a noninflamed tumor microenvironment and induces resistance to anti-PD-1/PD-L1 immunotherapy by negatively regulating proinflammatory chemokines and anticancer immunity. Adv Sci (Weinheim Baden-Wurttemberg Germany) (2023) 10(8):e2207155. doi: 10.1002/advs.202207155

CrossRef Full Text | Google Scholar

8. Hu J, Othmane B, Yu A, Li H, Cai Z, Chen X, et al. 5mC regulator-mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide precision medicine in bladder cancer. BMC Med (2021) 19(1):289. doi: 10.1186/s12916-021-02163-6

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Hu J, Chen J, Ou Z, Chen H, Liu Z, Chen M, et al. Neoadjuvant immunotherapy, chemotherapy, and combination therapy in muscle-invasive bladder cancer: A multi-center real-world retrospective study. Cell Rep Med (2022) 3(11):100785. doi: 10.1016/j.xcrm.2022.100785

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Siska PJ, Singer K, Evert K, Renner K, Kreutz M. The immunological Warburg effect: Can a metabolic-tumor-stroma score (MeTS) guide cancer immunotherapy? Immunol Rev (2020) 295(1):187–202. doi: 10.1111/imr.12846

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gu S, Yang C. Serum lactate dehydrogenase level predicts the prognosis in bladder cancer patients. BMC Urol (2023) 23(1):65. doi: 10.1186/s12894-023-01239-0

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hatami H, Sajedi A, Mir SM, Memar MY. Importance of lactate dehydrogenase (LDH) and monocarboxylate transporters (MCTs) in cancer cells. Health Sci Rep (2023) 6(1):e996. doi: 10.1002/hsr2.996

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Serganova I, Rizwan A, Ni X, Thakur SB, Vider J, Russell J, et al. Metabolic imaging: a link between lactate dehydrogenase A, lactate, and tumor phenotype. Clin Cancer Res (2011) 17(19):6250–61. doi: 10.1158/1078-0432.Ccr-11-0397

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Int J Surg (London England) (2021) 88:105906. doi: 10.1016/j.ijsu.2021.105906

CrossRef Full Text | Google Scholar

15. Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ (Clinical Res ed) (2017) 358:j4008. doi: 10.1136/bmj.j4008

CrossRef Full Text | Google Scholar

16. Williamson PR, Smith CT, Hutton JL, Marson AG. Aggregate data meta-analysis with time-to-event outcomes. Stat Med (2002) 21(22):3337–51. doi: 10.1002/sim.1303

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Parmar MK, Torri V, Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med (1998) 17(24):2815–34. doi: 10.1002/(sici)1097-0258(19981230)17:24<2815::aid-sim110>3.0.co;2-8.

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol (2011) 64(4):383–94. doi: 10.1016/j.jclinepi.2010.04.026

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Yang MH, Yen CC, Chen PM, Wang WS, Chang YH, Huang WJ, et al. Prognostic-factors-based risk-stratification model for invasive urothelial carcinoma of the urinary bladder in Taiwan. Urology (2002) 59(2):232–8. doi: 10.1016/s0090-4295(01)01590-4. discussion 8-9.

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hannisdal E, Fosså SD, Høst H. Blood tests and prognosis in bladder carcinomas treated with definitive radiotherapy. Radiother Oncol (1993) 27(2):117–22. doi: 10.1016/0167-8140(93)90131-q

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Nakagawa T, Taguchi S, Uemura Y, Kanatani A, Ikeda M, Matsumoto A, et al. Nomogram for predicting survival of postcystectomy recurrent urothelial carcinoma of the bladder. Urol Oncol (2016) 35(7):457.e15–.e21. doi: 10.1016/j.urolonc.2016.12.010

CrossRef Full Text | Google Scholar

22. Nakagawa T, Hara T, Kawahara T, Ogata Y, Nakanishi H, Komiyama M, et al. Prognostic risk stratification of patients with urothelial carcinoma of the bladder with recurrence after radical cystectomy. J Urol (2013) 189(4):1275–81. doi: 10.1016/j.juro.2012.10.065

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Warburg O. On the origin of cancer cells. Sci (New York NY) (1956) 123(3191):309–14. doi: 10.1126/science.123.3191.309

CrossRef Full Text | Google Scholar

24. Krieg AF, Rosenblum LJ, Henry JB. Lactate dehydrogenase isoenzymes a comparison of pyruvate-to-lactate and lactate-to-pyruvate assays. Clin Chem (1967) 13(3):196–203.

PubMed Abstract | Google Scholar

25. Zhang XK, Zhang ZL, Lu X, Yang P, Cai MY, Hu WM, et al. Prognostic significance of preoperative serum lactate dehydrogenase in upper urinary tract urothelial carcinoma. Clin genitourinary Cancer (2016) 14(4):341–5.e3. doi: 10.1016/j.clgc.2016.01.003

CrossRef Full Text | Google Scholar

26. Hsu PP, Sabatini DM. Cancer cell metabolism: Warburg and beyond. Cell (2008) 134(5):703–7. doi: 10.1016/j.cell.2008.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Gatenby RA, Gillies RJ. Why do cancers have high aerobic glycolysis? Nat Rev Cancer (2004) 4(11):891–9. doi: 10.1038/nrc1478

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Gatenby RA. The potential role of transformation-induced metabolic changes in tumor-host interaction. Cancer Res (1995) 55(18):4151–6.

PubMed Abstract | Google Scholar

29. Augoff K, Hryniewicz-Jankowska A, Tabola R. Lactate dehydrogenase 5: an old friend and a new hope in the war on cancer. Cancer Lett (2015) 358(1):1–7. doi: 10.1016/j.canlet.2014.12.035

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ding J, Karp JE, Emadi A. Elevated lactate dehydrogenase (LDH) can be a marker of immune suppression in cancer: Interplay between hematologic and solid neoplastic clones and their microenvironments. Cancer biomarkers: sec A Dis Markers (2017) 19(4):353–63. doi: 10.3233/cbm-160336

CrossRef Full Text | Google Scholar

31. Di Stefano G, Manerba M, Di Ianni L, Fiume L. Lactate dehydrogenase inhibition: exploring possible applications beyond cancer treatment. Future med Chem (2016) 8(6):713–25. doi: 10.4155/fmc.16.10

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Wu M, Lin P, Xu L, Yu Z, Chen Q, Gu H, et al. Prognostic role of serum lactate dehydrogenase in patients with urothelial carcinoma: A systematic review and meta-analysis. Front Oncol (2020) 10:677. doi: 10.3389/fonc.2020.00677

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: evidence-based analysis, bladder cancer, lactate dehydrogenase, prognosis, overall survival

Citation: Wei X, Chai Y, Li Z, Che X, Zhang Y, Zhou Z and Wang X (2023) Up-regulated serum lactate dehydrogenase could become a poor prognostic marker in patients with bladder cancer by an evidence-based analysis of 2,182 patients. Front. Oncol. 13:1233620. doi: 10.3389/fonc.2023.1233620

Received: 02 June 2023; Accepted: 13 July 2023;
Published: 03 August 2023.

Edited by:

Xiongbing Zu, Central South University, China

Reviewed by:

Hongyu Jin, Sichuan University, China
Parul Singh, National Heart, Lung, and Blood Institute (NIH), United States

Copyright © 2023 Wei, Chai, Li, Che, Zhang, Zhou and Wang. 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: Zhongbao Zhou, 346894383@qq.com; Xiang Wang, wx20120342@163.com

†These authors 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.