Startseite Medizin Challenges in the analysis of epigenetic biomarkers in clinical samples
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Challenges in the analysis of epigenetic biomarkers in clinical samples

  • José Luis García-Giménez EMAIL logo , Salvador Mena-Mollá , Jesús Beltrán-García und Fabian Sanchis-Gomar
Veröffentlicht/Copyright: 16. März 2017

Abstract

Epigenetic modifications represent an interesting landscape which can describe relevant features of human disease. Epigenetic biomarkers show several advantages as disease biomarkers because they provide information about gene function, specific endophenotypes and can even incorporate information from the environment and the natural history of disease. The improvement in genomic and epigenomic technologies has revolutionized the current comprehension of biological processes underlying health and disease. However, now is the time to adopt these new technologies to improve human health, thus converting this information into reliable biomarkers. This endeavor should be focused on improving methodologies to analyze gene methylation, histone modifications and microRNAs. Ideally, epigenetic biomarkers should be robust, routine, accurate and inexpensive in order to provide better information for patient diagnosis, prognosis, stratification and treatment monitoring. Here we describe some challenges and provide strategies to improve the adoption of epigenetic biomarkers into clinical routine. Furthermore, we summarize the recommended properties for clinical epigenetic biomarkers.


Corresponding author: José Luis García Giménez, PhD, Department of Physiology, Faculty of Medicine and Dentistry, University of Valencia, Av/ Blasco Ibañez, 15, 46010, Valencia, Spain; INCLIVA Biomedical Research Institute, Valencia, Spain; and The Biomedical Research Network on Rare Diseases (CIBERER), Valencia, Spain

Acknowledgments

José Luis García-Giménez thanks INCLIVA for the starting grants, the Ministry of Economy and Competitiveness, ISCIII through CIBERer (Biomedical Network Research Center for Rare Diseases and INGENIO2010) and AES2016 (ISCIII) for grant number PI16/01036, co-financed by the European Regional Development Fund (ERDF). Fabian Sanchis-Gomar is supported by a post-doctoral contract (APOSTD/2016/140) granted by the Regional Ministry of Education, Research, Culture and Sport (Valencia). Salvador Mena Molla thanks “Generalitat Valenciana” for starting grant number GV2016-109.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: AES2016 (ISCIII) PI16/01036; Generalitat Valenciana GV2016-109; Regional Ministry of Education, Research, Culture and Sport (Valencia) APOSTD/2016/140.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Toraño EG, Petrus S, Fernandez AF, Fraga MF. Global DNA hypomethylation in cancer: review of validated methods and clinical significance. Clin Chem Lab Med 2012;50:1733–42.10.1515/cclm-2011-0902Suche in Google Scholar PubMed

2. Hu Y, Li P, Hao S, Liu L, Zhao J, Hou Y. Differential expression of microRNAs in the placentae of Chinese patients with severe pre-eclampsia. Clin Chem Lab Med 2009;47:923–9.10.1515/CCLM.2009.228Suche in Google Scholar PubMed

3. Balgkouranidou I, Chimonidou M, Milaki G, Tsaroucha E, Kakolyris S, Georgoulias V, et al. SOX17 promoter methylation in plasma circulating tumor DNA of patients with non-small cell lung cancer. Clin Chem Lab Med 2016;54:1385–93.10.1515/cclm-2015-0776Suche in Google Scholar PubMed

4. Gao H, Zhang N, Lu F, Yu X, Zhu L, Mo X, et al. Circulating histones for predicting prognosis after cardiac surgery: a prospective study. Interact Cardiovasc Thorac Surg 2016;23:681–7.10.1093/icvts/ivw198Suche in Google Scholar PubMed

5. Vrtačnik P, Marc J, Ostanek B. Epigenetic mechanisms in bone. Clin Chem Lab Med 2014;52:589–608.10.1515/cclm-2013-0770Suche in Google Scholar PubMed

6. Markopoulou S, Nikolaidis G, Liloglou T. DNA methylation biomarkers in biological fluids for early detection of respiratory tract cancer. Clin Chem Lab Med 2012;50:1723–31.10.1515/cclm-2012-0124Suche in Google Scholar PubMed

7. Heichman KA, Warren JD. DNA methylation biomarkers and their utility for solid cancer diagnostics. Clin Chem Lab Med 2012;50:1707–21.10.1515/cclm-2011-0935Suche in Google Scholar PubMed

8. Hamm CA, Costa FF. Epigenomes as therapeutic targets. Pharmacol Ther 2015;151:72–86.10.1016/j.pharmthera.2015.03.003Suche in Google Scholar PubMed

9. García-Gimenez J. Epigenetic biomarkers and diagnostics. Amsterdam: Academic Press, Elsevier, 2015:663.Suche in Google Scholar

10. Gallou-Kabani C, Vigé A, Gross MS, Junien C. Nutri-epigenomics: lifelong remodelling of our epigenomes by nutritional and metabolic factors and beyond. Clin Chem Lab Med 2007;45:321–7.10.1515/CCLM.2007.081Suche in Google Scholar PubMed

11. Andersen AM, Dogan MV, Beach SR, Philibert RA. Current and future prospects for epigenetic biomarkers of substance use disorders. Genes 2015;6:991–1022.10.3390/genes6040991Suche in Google Scholar PubMed PubMed Central

12. Relton CL, Hartwig FP, Davey Smith G. From stem cells to the law courts: DNA methylation, the forensic epigenome and the possibility of a biosocial archive. Int J Epidemiol 2015;44:1083–93.10.1093/ije/dyv198Suche in Google Scholar

13. van Dijk SJ, Tellam RL, Morrison JL, Muhlhausler BS, Molloy PL. Recent developments on the role of epigenetics in obesity and metabolic disease. Clin Epigenetics 2015;7:66.10.1186/s13148-015-0101-5Suche in Google Scholar

14. Ferlin A, Foresta C. New genetic markers for male infertility. Curr Opin Obstet Gynecol 2014;26:193–8.10.1097/GCO.0000000000000061Suche in Google Scholar

15. Bakulski K, Halladay A, Hu VW. Epigenetic research in neuropsychiatric disorders: the “tissue issue”. Curr Behav Neurosci Rep 2016;3:264–74.10.1007/s40473-016-0083-4Suche in Google Scholar

16. Peiró-Chova L, Peña-Chilet M, López-Guerrero JA, García-Giménez JL, Alonso-Yuste E, Burgues O, et al. High stability of microRNAs in tissue samples of compromised quality. Virchows Arch 2013;463:765–74.10.1007/s00428-013-1485-2Suche in Google Scholar

17. Mojica WD, Hou T, Sykes D, Dey-Rao R. Front-end genomics: using an alternative approach for the recovery of high-quality DNA from core needle biopsies. J Clin Pathol 2016:1–6 [Epub ahead of print]. doi: 10.1136/jclinpath-2016-204061.10.1136/jclinpath-2016-204061Suche in Google Scholar

18. García-Giménez JL, Ushijima T, Tollefsbol TO. Epigenetic biomarkers: new findings, perspectives, and future directions in diagnostics. In: García-Giménez JL, editor. Epigenetic biomarkers and diagnostics. Amsterdam: Academic Press, Elsevier, 2016.Suche in Google Scholar

19. Sepulveda AR, Jones D, Ogino S, Samowitz W, Gulley ML, Edwards R, et al. CpG methylation analysis–current status of clinical assays and potential applications in molecular diagnostics: a report of the Association for Molecular Pathology. J Mol Diagn 2009;11:266–78.10.2353/jmoldx.2009.080125Suche in Google Scholar

20. Srinivasan M, Sedmak D, Jewell S. Effect of fixatives and tissue processing on the content and integrity of nucleic acids. Am J Pathol 2002;161:1961–71.10.1016/S0002-9440(10)64472-0Suche in Google Scholar

21. Søes S, Sørensen BS, Alsner J, Overgaard J, Hager H, Hansen LL, et al. Identification of accurate reference genes for RT-qPCR analysis of formalin-fixed paraffin-embedded tissue from primary non-small cell lung cancers and brain and lymph node metastases. Lung Cancer 2013;81:180–6.10.1016/j.lungcan.2013.04.007Suche in Google Scholar PubMed

22. Kristensen LS, Wojdacz TK, Thestrup BB, Wiuf C, Hager H, Hansen LL. Quality assessment of DNA derived from up to 30 years old formalin fixed paraffin embedded (FFPE) tissue for PCR-based methylation analysis using SMART-MSP and MS-HRM. BMC Cancer 2009;9:453.10.1186/1471-2407-9-453Suche in Google Scholar PubMed PubMed Central

23. Tournier B, Chapusot C, Courcet E, Martin L, Lepage C, Faivre J, et al. Why do results conflict regarding the prognostic value of the methylation status in colon cancers? The role of the preservation method. BMC Cancer 2012;12:12.10.1186/1471-2407-12-12Suche in Google Scholar PubMed PubMed Central

24. Wong SQ, Li J, Tan AY, Vedururu R, Pang JM, Do H, et al. Sequence artefacts in a prospective series of formalin-fixed tumours tested for mutations in hotspot regions by massively parallel sequencing. BMC Med Genomics 2014;7:23.10.1186/1755-8794-7-23Suche in Google Scholar PubMed PubMed Central

25. Kontos CK, Scorilas A, Papavassiliou AG. The role of transcription factors in laboratory medicine. Clin Chem Lab Med 2013;51:1563–71.10.1515/cclm-2013-0077Suche in Google Scholar PubMed

26. Fanelli M, Amatori S, Barozzi I, Soncini M, Dal Zuffo R, Bucci G, et al. Pathology tissue-chromatin immunoprecipitation, coupled with high-throughput sequencing, allows the epigenetic profiling of patient samples. Proc Natl Acad Sci U S A 2010;107:21535–40.10.1073/pnas.1007647107Suche in Google Scholar PubMed PubMed Central

27. Cejas P, Li L, O’Neill NK, Duarte M, Rao P, Bowden M, et al. Chromatin immunoprecipitation from fixed clinical tissues reveals tumor-specific enhancer profiles. Nat Med 2016;22:685–91.10.1038/nm.4085Suche in Google Scholar PubMed

28. Tiberio P, Callari M, Angeloni V, Daidone MG, Appierto V. Challenges in using circulating miRNAs as cancer biomarkers. Biomed Res Int 2015;2015:731479.10.1155/2015/731479Suche in Google Scholar PubMed PubMed Central

29. Akhtar MM, Micolucci L, Islam MS, Olivieri F, Procopio AD. Bioinformatic tools for microRNA dissection. Nucleic Acids Res 2016;44:24–44.10.1093/nar/gkv1221Suche in Google Scholar PubMed PubMed Central

30. Cloonan N. Re-thinking miRNA-mRNA interactions: intertwining issues confound target discovery. Bioessays 2015;37:379–88.10.1002/bies.201400191Suche in Google Scholar PubMed PubMed Central

31. Melichar B, Kroupis C. Cancer epigenomics: moving slowly, but at a steady pace from laboratory bench to clinical practice. Clin Chem Lab Med 2012;50:1699–701.10.1515/cclm-2012-0495Suche in Google Scholar PubMed

Received: 2016-12-20
Accepted: 2017-1-20
Published Online: 2017-3-16
Published in Print: 2017-8-28

©2017 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorials
  3. Reporting LDL-cholesterol levels in the era of intensive lipid management: a clarion call
  4. The challenges of genetic risk scores for the prediction of coronary heart disease
  5. Reviews
  6. Advanced lipoprotein testing for cardiovascular diseases risk assessment: a review of the novel approaches in lipoprotein profiling
  7. A review of the challenge in measuring and standardizing BCR-ABL1
  8. Mini Review
  9. Challenges in the analysis of epigenetic biomarkers in clinical samples
  10. Opinion Paper
  11. Defining a roadmap for harmonizing quality indicators in Laboratory Medicine: a consensus statement on behalf of the IFCC Working Group “Laboratory Error and Patient Safety” and EFLM Task and Finish Group “Performance specifications for the extra-analytical phases”
  12. Genetics and Molecular Diagnostics
  13. Assessment of EGFR mutation status using cell-free DNA from bronchoalveolar lavage fluid
  14. General Clinical Chemistry and Laboratory Medicine
  15. A survey of patients’ views from eight European countries of interpretive support from Specialists in Laboratory Medicine
  16. Verification of examination procedures in clinical laboratory for imprecision, trueness and diagnostic accuracy according to ISO 15189:2012: a pragmatic approach
  17. Expressing analytical performance from multi-sample evaluation in laboratory EQA
  18. A candidate reference method for serum potassium measurement by inductively coupled plasma mass spectrometry
  19. Practical motives are prominent in test-ordering in the Emergency Department
  20. Technical and clinical validation of the Greiner FC-Mix glycaemia tube
  21. Comparison of pneumatic tube system with manual transport for routine chemistry, hematology, coagulation and blood gas tests
  22. Accuracy of cerebrospinal fluid Aβ1-42 measurements: evaluation of pre-analytical factors using a novel Elecsys immunosassay
  23. Evaluation of cannabinoids concentration and stability in standardized preparations of cannabis tea and cannabis oil by ultra-high performance liquid chromatography tandem mass spectrometry
  24. Analytical performance and diagnostic accuracy of six different faecal calprotectin assays in inflammatory bowel disease
  25. Novel immunoassays for detection of CUZD1 autoantibodies in serum of patients with inflammatory bowel diseases
  26. Hematology and Coagulation
  27. Critical appraisal of discriminant formulas for distinguishing thalassemia from iron deficiency in patients with microcytic anemia
  28. Reference Values and Biological Variations
  29. Reference ranges of thromboelastometry in healthy full-term and pre-term neonates
  30. Cancer Diagnostics
  31. Immunoparesis in IgM gammopathies as a useful biomarker to predict disease progression
  32. Cardiovascular Diseases
  33. Assessment of the clinical utility of adding common single nucleotide polymorphism genetic scores to classical risk factor algorithms in coronary heart disease risk prediction in UK men
  34. Time and age dependent decrease of NT-proBNP after septal myectomy in hypertrophic obstructive cardiomyopathy
  35. Infectious Diseases
  36. Higher serum caspase-cleaved cytokeratin-18 levels during the first week of sepsis diagnosis in non-survivor patients
  37. Letters to the Editor
  38. Data mining for age-related TSH reference intervals in adulthood
  39. Intra-laboratory variation and its effect on gestational diabetes diagnosis
  40. Evaluation of long-term imprecision of automated complete blood cell count on the Sysmex XN-9000 system
  41. Sensitivity of the Sysmex XN9000 WPC-channel for detection of monoclonal B-cell populations
  42. Evaluation of biotin interference on immunoassays: new data for troponin I, digoxin, NT-Pro-BNP, and progesterone
  43. Stability of procalcitonin in cerebrospinal fluid
  44. Between-laboratory analysis of IgG antibodies against Aspergillus fumigatus in paired quality control samples
  45. Mass spectrometry vs. immunoassay in clinical and forensic toxicology: qui modus in rebus est?
  46. Great need for changes in higher education in Greece
  47. A note from the Editor in Chief regarding the Letter to the Editor “Great need for changes in higher education in Greece”
Heruntergeladen am 2.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/cclm-2016-1162/html?lang=de
Button zum nach oben scrollen