Dynamics of methylated cell-free DNA in the urine of non-small cell lung cancer patients

被引:5
作者
Bach, Sander [1 ]
Wever, Birgit M. M. [2 ]
van de Wiel, Mark A. [3 ]
Veltman, Joris D. [4 ]
Hashemi, Sayed M. S. [4 ]
Kazemier, Geert [1 ]
Bahce, Idris [4 ]
Steenbergen, Renske D. M. [2 ]
机构
[1] Vrije Univ Amsterdam, Dept Surg, Canc Ctr Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Dept Pathol, Canc Ctr Amsterdam, Amsterdam UMC, Boelelaan 1117 POB 7057, NL-1007 MB Amsterdam, Netherlands
[3] Vrije Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Epidemiol & Data Sci, Amsterdam UMC, Amsterdam, Netherlands
[4] Vrije Univ Amsterdam, Dept Pulmonol, Canc Ctr Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
关键词
Biological variation; biomarker; cancer detection; cfDNA; circadian variation; non-small cell lung cancer; urine; DNA methylation; POLYCOMB-GROUP GENE; HYPERMETHYLATION ANALYSIS; BIOLOGICAL VARIATION; PLASMA; EXPRESSION; MORTALITY; SPUTUM; BLOOD;
D O I
10.1080/15592294.2021.1982511
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
High levels of methylated DNA in urine represent an emerging biomarker for non-small cell lung cancer (NSCLC) detection and are the subject of ongoing research. This study aimed to investigate the circadian variation of urinary cell-free DNA (cfDNA) abundance and methylation levels of cancer-associated genes in NSCLC patients. In this prospective study of 23 metastatic NSCLC patients with active disease, patients were asked to collect six urine samples during the morning, afternoon, and evening of two subsequent days. Urinary cfDNA concentrations and methylation levels of CDO1, SOX17, and TAC1 were measured at each time point. Circadian variation and between- and within-subject variability were assessed using linear mixed models. Variability was estimated using the Intraclass Correlation Coefficient (ICC), representing reproducibility. No clear circadian patterns could be recognized for cfDNA concentrations or methylation levels across the different sampling time points. Significantly lower cfDNA concentrations were found in males (p=0.034). For cfDNA levels, the between- and within-subject variability were comparable, rendering an ICC of 0.49. For the methylation markers, ICCs varied considerably, ranging from 0.14 to 0.74. Test reproducibility could be improved by collecting multiple samples per patient. In conclusion, there is no preferred collection time for NSCLC detection in urine using methylation markers, but single measurements should be interpreted carefully, and serial sampling may increase test performance. This study contributes to the limited understanding of cfDNA dynamics in urine and the continued interest in urine-based liquid biopsies for cancer diagnostics.
引用
收藏
页码:1057 / 1069
页数:13
相关论文
共 47 条
  • [1] Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
    Aberle, Denise R.
    Adams, Amanda M.
    Berg, Christine D.
    Black, William C.
    Clapp, Jonathan D.
    Fagerstrom, Richard M.
    Gareen, Ilana F.
    Gatsonis, Constantine
    Marcus, Pamela M.
    Sicks, JoRean D.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (05) : 395 - 409
  • [2] The art of obtaining a high yield of cell-free DNA from urine
    Augustus, Elien
    Van Casteren, Kaat
    Sorber, Lauri
    van Dam, Peter
    Roeyen, Geert
    Peeters, Marc
    Vorsters, Alex
    Wouters, An
    Raskin, Jo
    Rolfo, Christian
    Zwaenepoel, Karen
    Pauwels, Patrick
    [J]. PLOS ONE, 2020, 15 (04):
  • [3] Biological variation of immunological blood biomarkers in healthy individuals and quality goals for biomarker tests
    Aziz, Najib
    Detels, Roger
    Quint, Joshua J.
    Gjertson, David
    Ryner, Timothy
    Butch, Anthony W.
    [J]. BMC IMMUNOLOGY, 2019, 20 (01)
  • [4] Detection of colorectal cancer in urine using DNA methylation analysis
    Bach, S.
    Paulis, I
    Sluiter, N. R.
    Tibbesma, M.
    Martin, I
    van de Wiel, M. A.
    Tuynman, J. B.
    Bahce, I
    Kazemier, G.
    Steenbergen, R. D. M.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [5] SOX17 promoter methylation in plasma circulating tumor DNA of patients with non-small cell lung cancer
    Balgkouranidou, Ioanna
    Chimonidou, Maria
    Milaki, Georgia
    Tsaroucha, Emily
    Kakolyris, Stylianos
    Georgoulias, Vasilis
    Lianidou, Evi
    [J]. CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2016, 54 (08) : 1385 - 1393
  • [6] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [7] A protocol for urine collection and storage prior to DNA methylation analysis
    Bosschieter, J.
    Bach, S.
    Bijnsdorp, I., V
    Segerink, L., I
    Rurup, W. F.
    van Splunter, A. P.
    Bahce, I
    Novianti, P. W.
    Kazemier, G.
    van Moorselaar, R. J. A.
    Steenbergen, R. D. M.
    Nieuwenhuijzen, J. A.
    [J]. PLOS ONE, 2018, 13 (08):
  • [8] Generation of data on within-subject biological variation in laboratory medicine: An update
    Braga, Federica
    Panteghini, Mauro
    [J]. CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES, 2016, 53 (05) : 313 - 325
  • [9] Expression of the p16INK4a gene product, methylation of the p16INK4a promoter region and expression of the polycomb-group gene BMI-1 in squamous cell lung carcinoma and premalignant endobronchial lesions
    Breuer, RHJ
    Snijders, PJF
    Sutedja, GT
    Sewalt, RGAB
    Otte, AP
    Postmus, PE
    Meijer, CJLM
    Raaphorst, FM
    Smit, EF
    [J]. LUNG CANCER, 2005, 48 (03) : 299 - 306
  • [10] Increased expression of the EZH2 polycomb group gene in BMI-1-positive neoplastic cells during bronchial carcinogenesis
    Breuer, RHJ
    Snijders, PJF
    Smit, EF
    Sutedja, TG
    Sewalt, RGAB
    Otte, AP
    van Kemenade, FJ
    Postmus, PE
    Meijer, CJLM
    Raaphorst, FM
    [J]. NEOPLASIA, 2004, 6 (06): : 736 - 743