ABSTRACT
Background:
Both clinical and experimental findings demonstrated a rise in prostate cancer in chronic renal illness. However, the clinical data associated with CKD was not looked at the context of prostate cancer. The study aims to investigate prostate cancer risk in CKD patients using clinical data via systemic review and meta-analysis.
Materials and Methods:
Using pertinent pairing keywords, I carried out a thorough exploration of PubMed/MEDLINE and Web of Science. The pooled HR with 95% CI of the considered clinical findings was estimated involving the general inverse variance outcome type. With RevMan 5.3, the total pooled estimate meta-analysis was evaluated utilizing the random effects model.
Results:
Total of six findings were considered for this analysis, with a total of 2,430,246 participants. The age and mean follow-up of the included patients and studies ranged from 55 to 67.4 years and 10.1 to 12 years, respectively. The meta-analysis showed no significant risk of prostate cancer among CKD patients (HR: 0.92; 95% CI: 0.60-1.41; P = 0.70). The results from subgroup analysis based on eGFR levels ranged ≥30-59 ml/min per 1.73 m2 and also found no significant risk of prostate cancer among CKD patients (HR: 1.04; 95% CI: 0.92-1.18; P = 0.52). Here I did not report statistical heterogeneity found (Q = 0.56, I2 = 0%, P = 0.87). As per the Newcastle-Ottawa scale, the included studies suggested good quality.
Conclusion:
The results suggest no significant risk of developing prostate cancer among CKD patients. Therefore, well-designed prospective cohort studies with stages of CKD and clear predefined prior history and causative factors are needed to support the present evidence strongly.
KEYWORDS: Chronic kidney disease (CKD), Newcastle-Ottawa scale, prostate cancer, PubMed/MEDLINE, RevMan 5.3, web of science
INTRODUCTION
The clinical and experimental findings have demonstrated a higher prevalence and occurrence of prostate cancer (PCa).[1] Male populations with different ancestries—African, Asian, Hispanic, and European—had varying incidence and mortality rates, suggesting that genetics plays a part.[2] On the other hand, disparities between patients of the same race and ethnicity residing in various nations raise the possibility that environmental factors are also at play.[3] Depending on the nation, there are different rates of prostate cancer cases and mortality, which are determined by the accessibility and availability of diagnostic and healthcare facilities as well as by recommendations for prostate cancer testing.[4,5] Over 55% of all fatalities from prostate cancer happen beyond the age of 65.[6] According to a comparison study by Sarabu et al. (2020), more end-stage renal disease (ESRD) patients had an advanced-stage prostate cancer diagnosis than those without ESRD.[7] Studies have demonstrated that the occurrence and prevalence of prostate cancer among kidney recipients older than 50 has significantly increased over the past ten years (13% to 21%).[8] The danger of developing prostate cancer has grown significantly due to its high incidence and mortality as more elderly patients receive kidney transplants and dialysis. Regular active treatment approaches for ESRD patients with prostate cancer, as well as concerns with prostate cancer-related prostate-specific antigen screening criteria, have also grown to be major points of contention.[9,10]
Both PCa and CKD share similar risks. factors and both conditions may trigger CKD with higher severe pathophysiology along with side effects. On the other hand, CKD may also increase one’s PCa probability with higher incidence. Hence both ailments’ common risk factors, which are often toxins, the two diseases may be related.[11] Cancer risk is increased in patients receiving renal replacement treatment for end-stage CKD who are receiving dialysis or transplants.[12,13] Few studies[14-16] reported on the likelihood of malignancy in CKD patients who were still in the early stages of the disease. Prior research found that patients with ESRD had an overall standardized incidence ratio for cancer risk that ranged from 0.9 to 1.5. Thyroid tumors, bladder, kidney, multiple myeloma, and virus-induced tumors were among the cancers for which ESRD patients had an increased risk.[17,18] The danger of prostate cancer being more common in people with chronic renal impairment is still mainly unknown. Kidney replacement considered as most promising approach to CKD management for people with chronic dialysis-dependent end-stage kidney disease.[19] Furthermore, the frequent kidney replacement performed for chronic renal disorders brought on by diabetic nephropathy and atherosclerosis are improving patients’ short- and medium-term results. Since localized prostate cancers account for the majority of prostate cancers that arise after renal transplantation, recipient cases are subjected to a wide range of therapeutics and surgical interventions in accordance with recommended protocols because there do not appear to be any specific guidelines for treating localized prostate cancer.
It is crucial to refer these patients to urological cancer care centers with surgeons skilled in both oncological and transplant surgery because the concurrent use of immune suppressants and the location of the renal graft in the pelvic cavity make treating localized prostate cancer after kidney transplantation more challenging.[19,20] In contrast, a different study found that immune suppression following kidney transplantation demonstrates a detrimental effect on the onset or progression of prostate tumors.[21] Therefore, it is uncertain whether prostate cancer is a concern following renal donation. Prostate cancer is a disorder that may be tackled with diagnosis and regular monitoring, making post-transplant malignancies one of the prevailing reasons for death in these individuals. Previously, a meta-analysis using individual patient data was conducted to assess the overall cancer risk in CKD patients.[16] Studies presenting the pooled estimation of the risk of prostate cancer among CKD patients are, nevertheless, scarce. Additionally, knowledge of the disease risk for prostate cancer would be crucial for decision-making about insurance and the measurement and screening of the disease burden. Hence, a thorough literature search and meta-analysis were performed to determine the estimated pooled prostate cancer probability in CKD patients. Patients with early-stage renal disease have a higher chance of developing cancer, according to previous studies, but it is unclear how less severe CKD will affect this risk. Prostate cancer is the leading form of malignancy in males across the globe and is associated with several risk factors including chronic renal disease. The rationale of the present study is to examine the association of CKD with prostate cancer.
MATERIALS AND METHODS
Current systematic literature review and meta-analysis associated with included studied Items for Systematic Reviews and Meta-analyses (PRISMA) standard.[22]
Data sources and search strategy
A thorough search method was used to look through two databases, including Web of Science and the Medical Literature Analysis and Retrieval System Online (MEDLINE), to find all qualifying research written in the English language between the beginning and the first of January 2022. Prostate cancer, renal insufficiency, chronic kidney failure, prostate neoplasm, prostate carcinoma, and prostate tumors were among the keywords or Medical Subject Headings (Mesh) used in the search queries. The references of the included studies and earlier reviews were also reviewed for other pertinent papers, as were manual Google Scholar searches. Here in the present study search of the literature search was not subject to time restrictions. For the sake of this analysis, only English was used.
Selection of studies and screening of data
Studies and observations were typically regarded as appropriate if they satisfied the following criteria: studies examining the prostate tumor risk in CKD and ESRD; studies utilizing observational study designs (cross-sectional, cohort, nested case-control, or case-control); reported unadjusted or adjusted estimates of the association between exposure and outcome (hazard ratio (HR), odds ratio (OR), or risk ratio (RR), and the corresponding 95% confidence interval (CI), or sufficient raw data to allow their calculation; (d) published studies that were fully searchable. The following exclusion criteria were applied: Studies evaluating the incidence ratio or standardized incidence ratio (SIR), studies conducted in languages other than English, studies analyzing the risk of prostate cancer in kidney or renal replacement patients, and studies with insufficient data or no complete information reported were also disqualified from the analysis. The third author was consulted to discuss any disagreements until an agreement was reached on every point. First author’s name, publication year, nation, study design, data source, population, sample size, age (in years), gender, race, and length of follow-up, as well as the unadjusted and fully adjusted HR or OR or RR and their respective 95% confidence intervals, were all collected as part of the study information.
Quality assessment
Two writers separately examined the methodological value of all included studies considering the Newcastle-Ottawa Scale (NOS), which was suggested by the Cochrane Non-Randomized Studies Methods Working Group.[23] The evaluation instrument is graded on three scales: selection (up to four stars), comparability (up to two stars), and exposure/outcome (maximum of three stars). Consequently, the scale is graded using a nine-point system (stars). An evaluation of the studies’ internal (systematic error) and external validity was conducted to make sure they weren’t swayed by their own conclusions. The requirements for changing NOS to Agency for Healthcare Research and Quality (AHRQ) standards establish three quality levels: good, fair, and poor. High-quality studies are those that receive 6 or more stars.[24] The consensus was used to settle any conflicts.
Data analysis
The adjusted impact investigate prostate cancer risk (HR, OR, or RR) and related 95% CI were taken. Standard errors (SE) were calculated using the following formula: [log (95%CI, higher limit)-log (95%CI, lower limit)]/3.92.[25] A natural log scale was used for all studies. A meta-analysis of cumulative pooled estimates was assessed using the random-effects model. In this analysis, the presence of study heterogeneity was assessed using the Cochran chi-square (2) and quantified using the I2 (0-100%) and tau-square (2), with the values provided in the text. When I2 values were above 75%, significant heterogeneity was expected. The pooled HR with% CI of the included studies was estimated using the general inverse variance outcome type. I performed the Begg and Egger test to look at potential publication bias when three or more papers were included in the primary analysis, and I made funnel plots to show likely asymmetry.[26] RevMan 5.3 (Review Manager 5.3; Nordic Cochrane Centre, Cochrane Collaboration, 2014) and R software, version 3.3.2 (R Foundation for Statistical Computing, Vienna, Austria), utilizing the packages “meta”[27] were used for all of the statistical analysis. When 0.05, all P values were deemed statistically significant.
RESULTS
Literature search and study inclusion
Figure 1 displays the PRISMA diagram that condenses the complex procedures of screening clinical findings. Database search yielded a total of 746 possibly pertinent records, of which 740 studies remained after the duplicates were removed. After reviewing the title and abstract, 685 papers were disqualified because they failed to satisfy the inclusion and exclusion requirements. After being assessed for eligibility, 50 of the remaining 55 full-text papers were deemed ineligible. Only six research,[14,16,28-31] were included for qualitative synthesis and one extra study was eliminated because there was no uniform estimation of the risk of prostate cancer and CKD. Five studies,[30-36] were eligible for the quantitative data synthesis in this analysis.
Figure 1.
PRISMA flow chart for study selection and screening
Study characteristics and quality assessment
The features of the findings that were considered are listed in Table 1. Cohort studies are made up of each. The six investigations were two from the USA[14,29] and one each from Australia,[16] Korea,[30] Sweden,[31] Taiwan,[29] and Australia. The studies that were taken into consideration had sample sizes that ranged from 1629 to 1,190,538. In this investigation, a total of 2,430,246 samples were used [Table 1]. The included patients’ and studies’ mean follow-up varied from 10.1 to 12 years and 55 to 67.4 years, respectively. With the exception of one research,[31] which showed a mean (SD) of 87 ml/min per 1.73 m2, all included studies revealed eGFR in the range. The range of the serum creatinine level was 40-1502.8 mmol/L. The most frequently addressed confounding variables. are found to be age, sex, socioeconomic status, and comorbidities. A comprehensive list of research features can be found in Table 2. All studies scored between 7 and 9 on the Newcastle-Ottawa scale, with exception of one finding that received an 8, indicating the high caliber of the included studies [Supplementary Table S1].
Table 1.
Characteristics of the included studies
Author, year | Study design | Country | Data source | Population | Sample size (n) | Age (years) | Gender, n (%) | Race, n (%) | Follow up (years) | eGFR (mmol/min per 1.73 m2) | Serum creatinine concentration (mmol/L) |
---|---|---|---|---|---|---|---|---|---|---|---|
Taneja, 2007 | Cohort study | USA | SEER-Medicare database | ESRD | 16,29 | At diagnosis, Mean: 67.4 | Male: 935 Female: 694 | White: 808 Black: 510 Other: 311 | NR | NR | NR |
Wong, 2009 | Prospective cohort study | Australia | CCR | CKD | 36,54 | Mean: 65.8 | Male: 1295 Female: 1752 | NR | Mean: 10.1 | Range: 113-14.5 | Range: 40-375 |
Liang, 2011 | Retrospective cohort study | Taiwan | National Health Insurance system | ESRD | 43,634 | Range: <40-≥70 | Male: 20,677 Female: 22,957 | NR | Mean: 12 | NR | NR |
Lowrance, 2014 | Retrospective cohort study | USA | US Census-block data | ESRD | 1,190,538 | Median: 55 | Male: 5,59,552 Female: 6,30,985 | White: 6,90,512 Black: 81,194 Native American: 17,977 Asian: 1,30,959 Other, multiple, or unknown race: 2,67,275 | Median: 5.3 | Range: <30-150 | NR |
Park, 2019 | Cohort study | Korea | National health insurance database | CKD | 471,758 | Median: 64 | Male: 243,137 | NR | Median: 4.77 | Range: 55-70 | Range: 88.4-123.7 |
Xu, 2019 | Cohort study | Sweden | Regional and national administrative databases | CKD | 71,9033 | Mean: 60 | Male: 336,997 Female: 382,036 | White: 71,9033 | Median: 5 | Range: <30-≥ 150 | Range: 44.2-1502.8 |
eGFR=Estimated glomerular filtration rate, SEER=Surveillance, Epidemiology, and End Results, ESRD=End stage renal disease, NR=Not reported, CCR=Central cancer registry, CKD=Chronic kidney disease
Table 2.
Comprehensive results summary of included studies
Author, year | Study design | Measure of risk | Result of estimates | Confounding variables | Results/conclusion |
---|---|---|---|---|---|
Taneja, 2007 | Cohort study | RR (95% CI) | 1.87 (1.05, 3.33) | Marital status, socioeconomic status, and comorbidity | Prostate cancers were significantly more likely to be diagnosed at a later stage of end-stage renal disease (ESRD). |
Wong, 2009 | Prospective cohort study | HR (95% CI) | 0.97 (0.34, 9.15) | Age, smoking status, degree of sun-related skin damage, and diastolic blood pressure | The risk for lung and urinary tract cancers but not prostate was higher among men with chronic kidney disease (CKD). Moderate CKD (stage 3) may be an independent risk factor for the development of cancer among older men but not women, and the effect of CKD on risk may vary for different types of cancer. |
Liang, 2011 | Retrospective cohort study | HR (95% CI) | 0.65 (0.43, 0.97) | Age, sex and sociodemographic | The ESRD to have a lower risk to get lung, prostate and esophageal cancer. |
Lowrance, 2014 | Retrospective cohort study | HR (95% CI) | eGFR (ml/min per 1.73 m2), range 90-150: 0.76 (0.71, 0.81) 45-59: 1.02 (0.98, 1.06) 30-44: 0.98 (0.91, 1.06) <30: 1.02 (0.89, 1.18) | Age, sex, race, socioeconomic, status, smoking status, body mass index (BMI), health care use, comorbid conditions (heart failure, hypertension, diabetes mellitus, coronary heart disease, chronic lung disease, and chronic liver disease) | Lower glomerular filtration rate (GFR) level was an independent risk factor for incident renal and urothelial cancer but not prostate, colorectal, lung, breast, or all cancers. |
Park, 2019 | Cohort study | HR (95% CI) | CKD Stage based on (dipstick albuminuria or eGFR level) 1 (≥ 90): 0.708 (0.541-0.926) 2 (< 90 and ≥60): 0.887 (0.758-1.039) 3 (< 60 and ≥30): 1.101 (1.034-1.172) 4 or 5 (<30): 0.689 (0.507-0.936) | Age, sex, socioeconomic status, smoking, BMI and history of hypertension, diabetes mellitus | The risk of digestive, respiratory, thyroid, and prostate malignancy demonstrated a non-linear association with CKD stage, with stage 1 or stage 4/5 CKD without dialysis demonstrating relatively lower risk. |
Xu, 2019 | Cohort study | HR (95% CI) | eGFR (ml/min per 1.73 m2), range <30: 0.87 (0.64, 1.19) 30-59: 1.04 (0.95, 1.15) 60-89: 1.08 (1.03, 1.15) >105: 0.94 (0.82, 1.09) | Age, sex, and comorbidities | Modestly higher cancer risk in individuals with mild to severe CKD driven primarily by skin and urogenital cancers. Lower eGFR strata were significantly associated with higher risk of skin, urogenital, prostate, and hematologic cancers. |
RR=Risk ratio; HR=Hazard ratio, ESRD=End stage renal disease, CKD=Chronic kidney disease, eGFR=Estimated glomerular filtration rate, BMI=Body mass index
Supplementary Table S1.
Quality assessment of included studies using Newcastle-Ottawa Scale
Author year | Title | Study design | Selection (Maximum 4 stars) | Comparability (Maximum 2 stars) | Outcome (Maximum 3 stars) | Total score (Maximum 9 stars) | Quality of the study |
---|---|---|---|---|---|---|---|
Taneja 2007 | Comparison of Stage at Diagnosis of Cancer in Patients Who Are on Dialysis versus the General Population | Cohort | **** | * | ** | 7 | Good |
Wong 2009 | Association of CKD and Cancer Risk in Older People | Cohort | **** | ** | ** | 8 | Good |
Liang 2011 | The Association Between Malignancy and End-stage Renal Disease in Taiwan | Cohort | **** | * | ** | 7 | Good |
Lowrance 2014 | CKD and the Risk of Incident Cancer | Retrospective cohort | **** | * | ** | 7 | Good |
Park 2019 | Risk of cancer in pre-dialysis chronic kidney disease: A nationwide population-based study with a matched control group | Cohort | **** | * | ** | 7 | Good |
Xu 2019 | Estimated Glomerular Filtration Rate and the Risk of Cancer | Cohort | **** | * | ** | 7 | Good |
CKD=Chronic kidney disease
CKDs cases and prostate cancer risk
According to the meta-findings, analysis patients with CKD have a negligible chance of developing prostate cancer (HR: 0.92; 95% CI: 0.60-1.41; P = 0.70; Figure 2a and b). There were no publication biases or small-study effects, and the funnel plot’s shape was symmetrical throughout (Egger’s test: P = 0.18). (Q = 0.56, I2 = 0%, P = 0.97) No statistical heterogeneity was discovered. A subgroup analysis based on stages and eGFR levels (ml/min per 1.73 m2) was also attempted. I was only able to evaluate the subgroup analysis for eGFR values between 30 and 59 ml/min per 1.73 m2. A substantial risk of prostate cancer was not discovered among CKD patients, according to the analysis’s findings (HR: 1.04; 95% CI: 0.92-1.18; P = 0.52). Additionally, no statistical heterogeneity was discovered by subgroup analysis (Q = 0.27, I2 = 0%, P = 0.87).
Figure 2.
(a) Forest plot for overall risk of prostate cancer (b) Forest plot for risk of prostate cancer based on eGFR level 30-59
DISCUSSION
A thorough literature review and meta-analysis were used to determine the burden of prostate cancer in CKD cases. The summary of the studies’ results revealed that having CKD was not significantly linked with a patient’s chance of developing a prostate tumor. The study’s conclusions are in line with those of an earlier meta-analysis that used 32,057 participants’ individual patient data. Therefore, it was clear that patients with impaired renal function do not involve with a higher risk of developing cancer.[16] Some real-world investigations have revealed elevated risks of different malignancies, including prostate cancer, in people with ESRD renal disorders well before would use a renal transplant like dialysis and kidney transplantation. Apparently, the risk of cancer is mainly unknown whether or not there was a considerable risk of prostate cancer.[14,32-34] Our subgroup analysis also revealed that CKD cases did not have a noticeably greater risk of prostate cancer based on eGFR values of 30-59 ml/min per 1.73 m2. This result is in line with a previous observational study that found reduced eGFR levels could be a danger element for the emergence of renal and urothelial carcinoma but not prostate, colorectal, lung, breast, or any other type of tumor.[14]
Obesity-related CKD patients have been shown to produce more pro-inflammatory cytokines.[35] Chronic inflammation is now understood as a key contributing cause of a number of tumors. Immune mediators causing inflammation can result in neoplasia by bringing about pro-neoplastic mutations, adaptive responses, apoptosis resistance, and environmental alterations including angiogenesis stimulation.[36] According to a preclinical investigation, advanced CKD could cause gut mucosal degradation in mice, and this change in CKD may hasten the development of colonic malignancy.[37] Following organ donation, immunosuppressive medications are linked to an increase in the risk of developing different malignancies.[38,39] Additionally, cancers such as genitourinary cancer, of which prostate cancer was the most prevalent, are more common among transplant recipients. Among the cases gone for transplantation, a 5-year incidence of cancer was reported at 4.4%, according to a systematic analysis that summarized the available data. However, associations differ according to age and the organ that was transplanted.[40] It is yet unknown, though, whether men who have renal transplants actually have a higher chance of developing prostate cancer.
Study Limitations
This is a basal comprehensive evaluation of the published scientific data and meta-analysis to evaluate the body of research involving prostate cancer risk in CKD cases. Furthermore, our investigation did not discover any degree of heterogeneities among the studies that were included. Nevertheless, our research has several limitations. This study started off with a tiny sample size. Second, patients who received kidney transplants and underwent prostate cancer screening were excluded from the study. Finally, subgroup analysis based on phases and severity was tried; however, only three of the included studies met the requirements for this type of analysis. Furthermore, due to a paucity of information in each included study and a gap in the systematic data given, I was unable to characterize CKD in terms of etiology, past history of the disease, and racial/ethnic disparities.
Evidence-based implications
The results of this study will enable us to correlate the epidemiological and disease burden of prostate tumors in CKD cases. advising medical professionals and informed decision-makers to ensure cancer screening in CKD cases, who receive dialysis along with kidney transplants, would help prevent this double challenge.
CONCLUSION
The study’s findings imply that CKD patients had a negligible probability of developing prostate cancer. Despite this, there is a wealth of information in the literature that links prostate cancer to other variables that may have an impact on outcomes. A few studies lacked details on the phases, severity, and other aspects of CKD. The current data must therefore be substantially supported by well-designed prospective cohort studies including stages of CKD, clear predefined prior histories, and causal variables.
Abbreviations; Chronic renal diseases (CKD), estimated glomerular filtration rate (eGFR), end-stage renal disease (ESRD), hazard ratio (HR), odds ratio (OR), or risk ratio (RR), confidence interval (CI), standardized incidence ratio (SIR), Newcastle-Ottawa Scale (NOS), Agency for Healthcare Research and Quality (AHRQ), Standard errors (SE).
Financial support and sponsorship
Nil.
Conflicts of interest
The author declares that this publication is free of conflicting interests.
Acknowledgement
The author would like to thank the Deanship of Scientific Research at Shaqra University for supporting this work.
REFERENCES
- 1.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
- 2.Hinata N, Fujisawa M. Racial differences in prostate cancer characteristics and cancer-specific mortality: An overview. World J Mens Health. 2022;40:217–27. doi: 10.5534/wjmh.210070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ferrís-I-Tortajada J, Berbel-Tornero O, Garcia-I-Castell J, López-Andreu JA, Sobrino-Najul E, Ortega-García JA. Non-dietary environmental risk factors in prostate cancer. Actas Urol Esp (English Edition) 2011;35:289–95. doi: 10.1016/j.acuro.2010.12.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Taitt HE. Global trends and prostate cancer: A review of incidence, detection, and mortality as influenced by race, ethnicity, and geographic location. Am J Mens Health. 2018;12:1807–23. doi: 10.1177/1557988318798279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Panigrahi GK, Praharaj PP, Kittaka H, Mridha AR, Black OM, Singh R, et al. Exosome proteomic analyses identify inflammatory phenotype and novel biomarkers in African American prostate cancer patients. Cancer Med. 2019;8:1110–23. doi: 10.1002/cam4.1885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rawla P. Epidemiology of prostate cancer. World J Oncol. 2019;10:63–89. doi: 10.14740/wjon1191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sarabu N, Dong W, Ray A, Fernstrum A, Ponsky LE, Koroukian SM. Prostate cancer outcomes by ESRD status. J Clin Oncol. 2020;38:e17513. [Google Scholar]
- 8.Kleinclauss F, Gigante M, Neuzillet Y, Mouzin M, Terrier N, Salomon L, et al. Prostate cancer in renal transplant recipients. Nephrol Dial Transplant. 2008;23:2374–80. doi: 10.1093/ndt/gfn008. [DOI] [PubMed] [Google Scholar]
- 9.Hsiao FY, Hsu WWY. Epidemiology of post-transplant malignancy in Asian renal transplant recipients: A population-based study. Int Urol Nephrol. 2013;46:833–8. doi: 10.1007/s11255-013-0544-6. [DOI] [PubMed] [Google Scholar]
- 10.Kim SH, Joung JY, Suh YS, Kim YA, Hong JH, Kuark TS, et al. Prevalence and survival prognosis of prostate cancer in patients with end-stage renal disease: A retrospective study based on the Korea national database (2003–2010) Oncotarget. 2017;8:64250–62. doi: 10.18632/oncotarget.19453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Stengel B. Chronic kidney disease and cancer: A troubling connection. J Nephrol. 2010;23:253–62. [PMC free article] [PubMed] [Google Scholar]
- 12.Mandayam S, Shahinian VB. Are chronic dialysis patients at increased risk for cancer? J Nephrol. 2008;21:166–74. [PubMed] [Google Scholar]
- 13.Buell JF, Gross TG, Woodle ES. Malignancy after transplantation. Transplantation. 2005;80:S254–64. doi: 10.1097/01.tp.0000186382.81130.ba. [DOI] [PubMed] [Google Scholar]
- 14.Lowrance WT, Ordoñez J, Udaltsova N, Russo P, Go AS. CKD and the risk of incident cancer. J Am Soc Nephrol. 2014;25:2327–34. doi: 10.1681/ASN.2013060604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wong G, Hayen A, Chapman JR, Webster AC, Wang JJ, Mitchell P, et al. Association of CKD and cancer risk in older people. J Am Soc Nephrol. 2009;20:1341–50. doi: 10.1681/ASN.2008090998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wong G, Staplin N, Emberson J, Baigent C, Turner R, Chalmers J, et al. Chronic kidney disease and the risk of cancer: An individual patient data meta-analysis of 32,057 participants from six prospective studies. BMC Cancer. 2016;16:1–11. doi: 10.1186/s12885-016-2532-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Matas AJ, Kjellstrand CM, Simmons RL, Buselmeier TJ, Najarian JS. Increased incidence of malignancy during chronic renal failure. Lancet. 1975;305:883–6. doi: 10.1016/s0140-6736(75)91684-0. [DOI] [PubMed] [Google Scholar]
- 18.Maisonneuve P, Agodoa L, Gellert R, Stewart JH, Buccianti G, Lowenfels AB, et al. Cancer in patients on dialysis for end-stage renal disease: An international collaborative study. Lancet. 1999;354:93–9. doi: 10.1016/s0140-6736(99)06154-1. [DOI] [PubMed] [Google Scholar]
- 19. NCT04642833, Prostate Cancer in Renal Transplants Recipients (RENPRO) 2022. [Accessed 07 February 2022]. https: //clinicaltrials.gov/ct2/show/NCT04642833/
- 20.Hevia V, Boissier R, Rodríguez-Faba Ó, Fraser-Taylor C, Hassan-Zakri R, Lledo E, et al. Management of localised prostate cancer in kidney transplant patients: A systematic review from the EAU guidelines on renal transplantation panel. Eur Urol Focus. 2018;4:153–62. doi: 10.1016/j.euf.2018.05.010. [DOI] [PubMed] [Google Scholar]
- 21.Haeuser L, Nguyen DD, Trinh QD. Prostate cancer and kidney transplantation –exclusion or co-existence? BJU Int. 2020;125:628–9. doi: 10.1111/bju.15078. [DOI] [PubMed] [Google Scholar]
- 22.Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1. doi: 10.1186/2046-4053-4-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wells G, Shea B, Robertson J, et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomized Studies in Meta-Analysis. [Accessed 07 February 2022]. http: //www.ohri.ca/programs/clinical_epidemiology/oxford.asp/
- 24.Azharuddin M, Adil M, Sharma M, Gyawali B. A systematic review and meta-analysis of non-adherence to anti-diabetic medication: Evidence from low- and middle-income countries. Int J Clin Pract. 2021;75:e14717. doi: 10.1111/ijcp.14717. [DOI] [PubMed] [Google Scholar]
- 25.Deeks JJ, Higgins JPT, Altman DG. Analysing data and undertaking meta-analyses. Cochrane Handb Syst Rev Interv. 2019:241–84. [Google Scholar]
- 26.Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–101. [PubMed] [Google Scholar]
- 27.Schwarzer G, Carpenter JR, Rücker G. Meta-Analysis with R. Use R! Springer, Cham; 2015. [Last accessed on 2022 Feb 07]. Network Meta-Analysis; pp. 187–216. https://doi.org/10.1007/978-3-319-21416-0_8. [Google Scholar]
- 28.Taneja S, Mandayam S, Kayani ZZ, Kuo YF, Shahinian VB. Comparison of stage at diagnosis of cancer in patients who are on dialysis versus the general population. Clin J Am Soc Nephrol. 2007;2:1008–13. doi: 10.2215/CJN.00310107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Liang JA, Sun LM, Yeh JJ, Sung FC, Chang SN, Kao CH. The association between malignancy and end-stage renal disease in Taiwan. Jpn J Clin Oncol. 2011;41:752–7. doi: 10.1093/jjco/hyr051. [DOI] [PubMed] [Google Scholar]
- 30.Park S, Lee S, Kim Y, Lee Y, Kang MW, Han K, et al. Risk of cancer in pre-dialysis chronic kidney disease: A nationwide population-based study with a matched control group. Kidney Res Clin Pract. 2019;38:60–70. doi: 10.23876/j.krcp.18.0131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Xu H, Matsushita K, Su G, Trevisan M, Ärnlöv J, Barany P, et al. Estimated glomerular filtration rate and the risk of cancer. Clin J Am Soc Nephrol. 2019;14:530–9. doi: 10.2215/CJN.10820918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hall EC, Segev DL, Engels EA. Racial/ethnic differences in cancer risk after kidney transplantation. Am J Transplant. 2013;13:714–20. doi: 10.1111/ajt.12066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Hibberd AD, Trevillian PR, Wlodarczyk JH, Kemp DG, Stein AM, Gillies AHB, et al. Effect of immunosuppression for primary renal disease on the risk of cancer in subsequent renal transplantation: A population-based retrospective cohort study. Transplantation. 2013;95:122–7. doi: 10.1097/TP.0b013e3182782f59. [DOI] [PubMed] [Google Scholar]
- 34.Kwon SK, Han JH, Kim HY, Kang G, Kang M, Kim YJ, et al. The incidences and characteristics of various cancers in patients on dialysis: A Korean nationwide study. J Korean Med Sci. 2019;34:e176. doi: 10.3346/jkms.2019.34.e176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Teplan V, Jr, Vyhnánek F, Gürlich R, Haluzík M, Racek J, Vyhnankova I, et al. Increased proinflammatory cytokine production in adipose tissue of obese patients with chronic kidney disease. Wien Klin Wochenschr. 2010;122:466–73. doi: 10.1007/s00508-010-1409-y. [DOI] [PubMed] [Google Scholar]
- 36.Emily Shacter SAW. Chronic inflammation and cancer. [homepage on the Internet] Oncology (Williston Park) [Last accessed on 2022 Feb 07]. https: //pubmed.ncbi.nlm.nih.gov/11866137/
- 37.Yu C, Wang Z, Tan S, Wang Q, Zhou C, Kang X, et al. Chronic kidney disease induced intestinal mucosal barrier damage associated with intestinal oxidative stress injury. Gastroenterol Res Pract. 2016;2016:6720575. doi: 10.1155/2016/6720575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sprangers B, Nair V, Launay-Vacher V, Riella LV, Jhaveri KD. Risk factors associated with post–kidney transplant malignancies: An article from the Cancer-Kidney International Network. Clin Kidney J. 2018;11:315–29. doi: 10.1093/ckj/sfx122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Katabathina VS, Menias CO, Tammisetti VS, Lubner MG, Kielar A, Shaaban A, et al. Malignancy after solid organ transplantation: Comprehensive imaging review. Radiographics. 2016;36:1390–407. doi: 10.1148/rg.2016150175. [DOI] [PubMed] [Google Scholar]
- 40.Sherer BA, Warrior K, Godlewski K, Hertl M, Olaitan O, Nehra A, et al. Prostate cancer in renal transplant recipients. Int Braz J Urol. 2017;43:1021–32. doi: 10.1590/S1677-5538.IBJU.2016.0510. [DOI] [PMC free article] [PubMed] [Google Scholar]