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Personalized medicine: moving from simple theory to daily practice

  • Giuseppe Lippi ORCID logo EMAIL logo and Mario Plebani
Published/Copyright: April 17, 2015

The paradigm of “personalized medicine” has gained broad popularity in the past decade due to the fact that convincing evidence was brought that the concept “one fits all” should be overwhelmed by the so-called patient-tailored approach in health care [1, 2]. Although the term personalized medicine is repeated like a mantra in scientific papers, meetings, media, and even the Internet, its exact definition is vague and remains almost unclear for many. A recurrent but rather incomplete definition is “prevention, diagnosis, and therapy of a certain disease according to an individual genetic profile” [3]. Indeed, the complete picture cannot be limited to genomic analysis, wherein molecular methods that make personalized medicine possible include testing a wide spectrum of biological pathways, thus embracing gene polymorphisms and expression, epigenetics and metabolomics, along with identification of therapies aimed to target molecular mechanisms that are responsible of several human disorders, including cancer [4], cardiovascular disease [5], and systemic infections [6], among others. The current designation proposed by the EU Commission seems more appropriate, wherein personalized medicine is defined as a medical model using molecular profiling for tailoring the right therapeutic strategy for the right person at the right time, and/or to determine the predisposition to disease and/or to deliver timely and targeted prevention. Throughout this ample picture, laboratory diagnostics is seemingly playing a prominent – even predominant – role, which is probably much larger than that of any other branch of science and medicine.

Despite the fact that transition from traditional medicine toward personalized health care seems now a virtually unavoidable journey, some important challenges emerge. The leading principle is indeed represented by the convincing awareness of the pivotal role that laboratory professionals should play in translating theory to practice. To assess whether laboratory medicine would be able to help develop innovative diagnostic tools, skill, and guidance about personalized medicine, the joint working group “Personalized Laboratory Medicine” of the EFLM (European Federation of Clinical Chemistry and Laboratory Medicine) and ESPT (European Society of Pharmacogenomics and Personalised Therapy) has developed and disseminated to 48 laboratories from 18 European countries an interesting questionnaire entitled “Is Laboratory Medicine ready for the era of Personalized Medicine?”, the results of which are published in this issue of Clinical Chemistry and Laboratory Medicine [7]. Encouraging information emerged from the results of this survey, indicating that laboratory professionals not only do acknowledge that personalized medicine may be regarded as an innovative and promising health model, but also that laboratory diagnostics will play an essential role for supporting a widespread implementation of this new approach to health care in the clinical setting. Now, despite the fact that we can probably consider these aspects for granted, it seems necessary to move further and put forward another crucial question, that is, “how should we reach the goal”?

There is no single right track, indeed, wherein moving from simple theory to daily practice entails a challenging and multifaceted enterprise, in which many aspects should be considered (Figure 1). First and foremost, the gap between basic research and clinical practice should be narrowed, with identification and validation of biomarkers (or panels of biomarkers) that may realistically generate medical knowledge and be effective to impact on the outcomes (i.e., disability, morbidity, or mortality) [8]. A number of well-designed and large international initiatives are under way, and results are expected to be delivered soon [9]. A second necessary step entails the development of robust and reliable assays that may be able to precisely identify biological patterns associated to (or responsible for) the most prevalent human disorders [10]. Once these basic requirements are fulfilled, we should then overcome the traditional theory of reference ranges, toward a new concept of individual reference values that would allow a more reliable risk prediction in the single patient [11]. Then, the awareness of the increasing importance of personalized medicine should not be regarded as an ending point but as just a beginning, wherein its use should be much broadened in clinical practice, over the strict boundaries of basic research where it is currently confined [12]. A last but essential aspect in a world with limited resources is the appropriate use of innovative (and often expensive) tools such as genomic, transcriptomics, pharmacogenomics, proteomics, and metabolomics, in order to prevent that precious human and economic resources are dissipated for targeting theory rather than patient-centered practice [13]. As we are entering the era of the so-called direct-to-consumer marketing of personalized medicine [14], in particular the offer over the Internet of direct-to-consumer genetic testing services [15], further considerations should be made. Test relevance and accuracy are still fundamental issues, as emphasized by the decision of the US Food and Drug Administration to ask a direct-to-consumer genetic testing company to stop selling its personal genetic testing kits to consumers owing to significant concerns regarding clinical basis, relevance, and accuracy of results [16]. Therefore, the need for training of physicians and health-care professionals to correctly request and interpret genomic data and to integrate genomic information with the patient’s clinical condition and all other variables in an expert and systematic way should be regarded as additional barriers to broader adoption of personalized medicine [15]. Nevertheless, a simple approach can be applied, entailing the use of the right test, with the right method, at the right time, to the right patient, at the right cost, and for the right outcome [17].

Figure 1: Personalized medicine: from theory to practice.
Figure 1:

Personalized medicine: from theory to practice.


Corresponding author: Prof. Giuseppe Lippi, U.O. Diagnostica Ematochimica, Azienda Ospedaliero, Universitaria di Parma, Via Gramsci, 14, 43126 Parma, Italy, Phone: 0039-0521-703050 or 0039-0521-703791, E-mail: or

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Published Online: 2015-4-17
Published in Print: 2015-6-1

©2015 by De Gruyter

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Personalized medicine: moving from simple theory to daily practice
  4. Evaluating and using innovative technologies: a lesson from Theranos?
  5. Review
  6. Emerging biomarkers in the detection and prognosis of prostate cancer
  7. Mini Review
  8. Could molecular assessment of calcium metabolism be a useful tool to early screen patients at risk for pre-eclampsia complicated pregnancy? Proposal and rationale
  9. Opinion Papers
  10. Is laboratory medicine ready for the era of personalized medicine? A survey addressed to laboratory directors of hospitals/academic schools of medicine in Europe
  11. Theranos phenomenon: promises and fallacies
  12. Clinical laboratories: production industry or medical services?
  13. Genetics and Molecular Diagnostics
  14. Role of JAK2 V617F mutation and aberrant expression of microRNA-143 in myeloproliferative neoplasms
  15. Direct identification of Gram-positive bacteria and resistance determinants from blood cultures using a microarray-based nucleic acid assay: in-depth analysis of microarray data for undetermined results
  16. General Clinical Chemistry and Laboratory Medicine
  17. Comparison between bottom-up and top-down approaches in the estimation of measurement uncertainty
  18. Role of vitamin D and sFlt-1/PlGF ratio in the development of early- and late-onset preeclampsia
  19. Adenosine deaminase, dipeptidyl peptidase-IV activities and lipid peroxidation are increased in the saliva of obese young adult
  20. PON-1 and ferroxidase activities in older patients with mild cognitive impairment, late onset Alzheimer’s disease or vascular dementia
  21. Comparison of five automated hematology analyzers in a university hospital setting: Abbott Cell-Dyn Sapphire, Beckman Coulter DxH 800, Siemens Advia 2120i, Sysmex XE-5000, and Sysmex XN-2000
  22. Dacryocytes are a common morphologic feature of autoimmune and microangiopathic haemolytic anaemia
  23. Performance characteristics of a new automated method for measurement of anti-cyclic citrullinated peptide
  24. The clinical performance of a chemiluminescent immunoassay in detecting anti-cardiolipin and anti-β2 glycoprotein I antibodies. A comparison with a homemade ELISA method
  25. Reference Values and Biological Variations
  26. Reference interval for immature platelet fraction on Sysmex XN hematology analyzer: a comparison study with Sysmex XE-2100
  27. Development of the first urinary reproductive hormone ranges referenced to independently determined ovulation day
  28. Cancer Diagnostics
  29. Urinary miR-183 and miR-205 do not surpass PCA3 in urine as predictive markers for prostate biopsy outcome despite their highly dysregulated expression in prostate cancer tissue
  30. Cardiovascular Diseases
  31. Elevated circulating levels of lipoprotein-associated phospholipase A2 in obese children
  32. Letters to the Editors
  33. Reporting of hemolysis index (HI) with laboratory results should be obligatory in newborns and infants
  34. Unmeasurably high chloride: a surrogate marker of thiocyanate poisoning identification
  35. Association between red cell distribution width and myocardial infarction in rheumatoid arthritis
  36. Plasmatic and urinary glycosaminoglycan profile in a patient affected by multiple sulfatase deficiency
  37. Rapid diagnosis of cryptococcal meningitis by Türk staining
  38. A high selectivity and sensitivity analytical method for the analysis of 8-hydroxy-2′-deoxyguanosine in the urine of Alzheimer’s disease patients
  39. S100B protein concentration measurement according to two different immunoassays
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