scholarly journals TO009THE POTENTIAL OF DONOR-DERIVED CELL-FREE DNA AS A BIOMARKER FOR REJECTION IN KIDNEY TRANSPLANTATION: A SYSTEMATIC REVIEW AND META-ANALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Veerle Wijtvliet ◽  
Philip Plaeke ◽  
Steven Abrams ◽  
Niel Hens ◽  
Els Gielis ◽  
...  

Abstract Background and Aims Donor-derived cell-free DNA (dd-cfDNA) is actively studied as a non-invasive biomarker for the diagnosis of kidney allograft rejection, with conflicting results being reported. Therefore, we conducted a systematic review and meta-analysis to provide a clear overview of the potential value of dd-cfDNA to diagnose kidney rejection, and specifically antibody-mediated rejection (ABMR). Method A systematic literature search was performed in Pubmed, Web of Science, and the Cochrane library using the search terms: “cell free DNA AND kidney transplantation”. We included studies that 1) described dd-cfDNA fractions in blood of kidney allograft recipients; and 2) were published as English original research papers between January 1, 1994 and November 26, 2019. The methodological quality was assessed by the Methodological Index for Non-Randomized Studies (MINORS). Out of 287 hits, 55 duplicates were removed. 232 remaining abstracts were screened, leaving 36 articles for full-text review, of which 11 were included in a systematic review and data from 7 articles were synthesized in a meta-analysis. A weighted median of medians (WMM) (median with 95% confidence interval (CI) in squared brackets) was computed as a pooled estimate for the median dd-cfDNA fractions in different groups of patients. A meta-analysis was prespecified to be performed among following patient groups: 1) ABMR patients; 2) T-cell-mediated rejection (TCMR) patients; 3) stable patients; 4) patients without rejection at indication biopsy. The pooled ABMR group consisted of patient groups with pure ABMR and/or mixed ABMR/TCMR. Weighted median differences of medians (WMDM) were estimated for pairwise comparisons among the aforementioned groups, according to the approach proposed by McGrath et al. (2019). Results A large heterogeneity was observed between the selected studies in 1) study design; 2) inclusion criteria (consecutively transplanted patients versus patients with an acute kidney event); 3) statistical reporting (mean ± SD versus median with IQR or min-max); and 4) the definition of study groups. This made the results of the selected studies only partially comparable or suitable for further meta-analysis. Three studies calculated the fraction of dd-cfDNA in stable patients, resulting in a WMM of 0.29% [0.26-0.45]. In the ABMR group, a remarkably higher WMM (2.5% [1.4-2.9]) was observed, when combining the data from five separate studies. Four of those five studies also described dd-cfDNA levels in TCMR patients and patients without rejection at indication biopsy, resulting in a WMM of 0.27% [0.26-2.69] and 0.57% [0.3-0.67], respectively. As presented in Figure 1, median dd-cfDNA fractions were significantly higher in patients with ABMR vs. patients without rejection at indication biopsy (Figure 1A). As compared to patients with TCMR, a tendency to higher median dd-cfDNA fractions was observed in patients with ABMR (Figure 1B). Patients with TCMR had no higher median dd-cfDNA fractions than patients without rejection at indication biopsy. Conclusion Despite the large heterogeneity between the selected studies, our results point towards higher median dd-cfDNA fractions in patients with ABMR vs. patients without rejection at indication biopsy. Furthermore, a tendency to lower median dd-cfDNA fractions was noted in patients with TCMR compared to ABMR. dd-cfDNA might be useful in the diagnosis of ABMR if confirmed in further studies.

2020 ◽  
Vol 33 (12) ◽  
pp. 1626-1642
Author(s):  
Veerle P. W. M. Wijtvliet ◽  
Philip Plaeke ◽  
Steven Abrams ◽  
Niel Hens ◽  
Els M. Gielis ◽  
...  

2021 ◽  
Author(s):  
Lilli Kirkeskov ◽  
Rasmus Carlsen ◽  
Thomas Lund ◽  
Niels-Henrik Buus

Abstract Background: Patients with kidney failure treated with dialysis or kidney transplantation experience difficulties maintaining employ­­ment due to the condition itself as well as the treatment. We aimed to establish the rate of employment before and after initiation of dialysis and after kidney transplantation and to identify predictors of employment during dialysis and post-transplant.Methods: This systematic review and meta-analysis was carried out according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis, PRISMA, for studies that included employment rate in adults receiving dialysis or a kidney transplant. The literature search included cross sectional or cohort studies published in English in the period from January 1966 to August 2020 in the databases PubMed, Embase, and Cochrane Library. Data of employment rate, study population, age, gender, educational level, dialysis duration, kidney donor, ethnicity, dialysis modality, waiting time for transplantation, diabetes, and depression were extracted. Quality assessment was performed using the Newcastle-Ottawa Scale. Meta-analysis for predictors for employment and odds ratio; confidence intervals; and test for heterogeneity were calculated using Chi-squared statistics and I2. PROSPERO registration number: CRD42020188853.Results. 33 studies with 162,059 participants during dialysis and 31 studies with 137,742 participants receiving kidney transplantation. Dialysis patients were on average 52.6 years old (range 16-79), 60.3% males and kidney transplant patients 46.7 years old (range 18-78), 59.8% males. The employment rate (weighted mean) for dialysis patients was 26.3% (range 10.5-59.7%); pre-transplant 36.9% (range 25-86%), and post-transplant 38.2% (range 14.2-85%). Predictors for employment during dialysis and post-transplant were male, non-diabetic, peritoneal dialysis, and higher educational level, and post-transplant: pre-transplant employment, younger age, transplantation with a living donor kidney, and without depression.Conclusions: Patients with kidney failure had a low employment rate during dialysis, pre- and post-transplant. Kidney failure patients should be supported through a combination of clinical and social measures to ensure they remain in work.


PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0155495 ◽  
Author(s):  
Quan Zhou ◽  
Wei Li ◽  
Bingjie Leng ◽  
Wenfei Zheng ◽  
Ze He ◽  
...  

2017 ◽  
Vol 22 (9) ◽  
pp. 1049-1055 ◽  
Author(s):  
Karen‐Lise G. Spindler ◽  
Anders K. Boysen ◽  
Niels Pallisgård ◽  
Julia S. Johansen ◽  
Josep Tabernero ◽  
...  

Oncotarget ◽  
2018 ◽  
Vol 9 (36) ◽  
pp. 24514-24524 ◽  
Author(s):  
Xin Wang ◽  
Xia-Qing Shi ◽  
Peng-Wei Zeng ◽  
Fong-Ming Mo ◽  
Zi-Hua Chen

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182562 ◽  
Author(s):  
Rongyuan Zhuang ◽  
Song Li ◽  
Qian Li ◽  
Xi Guo ◽  
Feng Shen ◽  
...  

2021 ◽  
Author(s):  
Fei Hou ◽  
Chao Liu ◽  
Zhixian Yang ◽  
Yuyang Dao ◽  
yun Wang ◽  
...  

2020 ◽  
Vol 40 (4) ◽  
pp. 454-462 ◽  
Author(s):  
Julia Geppert ◽  
Chris Stinton ◽  
Samantha Johnson ◽  
Aileen Clarke ◽  
Dimitris Grammatopoulos ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Lilli Kirkeskov ◽  
Rasmus K. Carlsen ◽  
Thomas Lund ◽  
Niels Henrik Buus

Abstract Background Patients with kidney failure treated with dialysis or kidney transplantation experience difficulties maintaining employment due to the condition itself and the treatment. We aimed to establish the rate of employment before and after initiation of dialysis and kidney transplantation and to identify predictors of employment during dialysis and posttransplant. Methods This systematic review and meta-analysis were carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for studies that included employment rate in adults receiving dialysis or a kidney transplant. The literature search included cross-sectional or cohort studies published in English between January 1966 and August 2020 in the PubMed, Embase, and Cochrane Library databases. Data on employment rate, study population, age, gender, educational level, dialysis duration, kidney donor, ethnicity, dialysis modality, waiting time for transplantation, diabetes, and depression were extracted. Quality assessment was performed using the Newcastle–Ottawa Scale. Meta-analysis for predictors for employment, with odds ratios and confidence intervals, and tests for heterogeneity, using chi-square and I2 statistics, were calculated. PROSPERO registration number: CRD42020188853. Results Thirty-three studies included 162,059 participants receiving dialysis, and 31 studies included 137,742 participants who received kidney transplantation. Dialysis patients were on average 52.6 years old (range: 16–79; 60.3% male), and kidney transplant patients were 46.7 years old (range: 18–78; 59.8% male). The employment rate (weighted mean) for dialysis patients was 26.3% (range: 10.5–59.7%); the employment rate was 36.9% pretransplant (range: 25–86%) and 38.2% posttransplant (range: 14.2–85%). Predictors for employment during dialysis and posttransplant were male, gender, age, being without diabetes, peritoneal dialysis, and higher educational level, and predictors of posttransplant: pretransplant employment included transplantation with a living donor kidney, and being without depression. Conclusions Patients with kidney failure had a low employment rate during dialysis and pre- and posttransplant. Kidney failure patients should be supported through a combination of clinical and social measures to ensure that they remain working.


2021 ◽  
Vol 11 ◽  
Author(s):  
Hongtao Liu ◽  
Yuzhen Gao ◽  
Somayeh Vafaei ◽  
Xiao Gu ◽  
Xiaoli Zhong

ObjectiveBy virtue of largely disparate clinical outcomes of prostate cancer (PCA), there is a pressing need to search for useful biomarkers for PCA prognosis. Cell-free DNA (cfDNA) is a promising biomarker for detecting, monitoring, and predicting survival of prostate cancer (PCA). However, the utility of total cfDNA quantitation in PCA in clinical setting remains elusive. Here, we performed a thorough meta-analysis to assess the prognostic value of cfDNA concentration for patients with PCA. In addition, we tested the possibility of the combination of PSA and cfDNA test results to improve the prediction power in PCA prognosis.Method and MaterialsMore than six databases, including PubMed, Web of Science, Medline, PMC, EMBASE and the Cochrane Library were searched. Results yielded all eligible articles from the date of inception to June 30, 2020. Continuous, diagnostic, and prognostic variables in cfDNA in PCA were included in the meta-analysis by STATA.ResultsA total of 23 articles were enrolled in our meta-analysis: 69.6% (16/23) were related to diagnosis, and 56.5% (13/23) were related to prognosis. The pooled concentration of cfDNA in PCA patients was significantly higher than in the control group (SMD = 0.89, 95%CI = 0.53, 1.26), mirroring results for the prostate-specific antigen (PSA). For the detection test variables, the SROC with 95%CI was 0.87 (0.84–0.90) for cfDNA concentration. In terms of prognostic variables, the concentrations of cfDNA were significantly related with progression-free survival (PFS, logHR = 0.84 (95%CI0.39, 1.28) and overall survival [OS, log HR = 0.60 (95%CI0.29, 0.90)]. Lastly, the test showed no significant publication bias in the present meta-analysis, excluding the diagnostic meta-analysis.ConclusionsThe concentration of cell-free DNA is high in the prostate cancer patients. The present study substantiates the prognostic value of the cfDNA concentration. High concentration cfDNA correlates with poor disease outcome of CRPC. The study cohort with large sample size is needed to evaluate the prognosis value of cfDNA in the future. We also emphasized that combination of PSA and cf DNA quantitation is important in future large individual meta study.


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