Clinical validation of a combinatorial PharmAcogeNomic approach in major Depressive disorder: an Observational prospective RAndomized, participant and rater-blinded, controlled trial (PANDORA trial)

Alessandra Minelli, Stefano Barlati, Erika Vitali, Stefano Bignotti, Vincenzo Dattilo, Giovanni Battista Tura, Elisabetta Maffioletti, Edoardo Giacopuzzi, Vincenza Santoro, Giulia Perusi, Chiara Cobelli, Chiara Magri, Silvia Bonizzato, Luisella Bocchio-Chiavetto, Edoardo Spina, Antonio Vita, Massimo Gennarelli, Alessandra Minelli, Stefano Barlati, Erika Vitali, Stefano Bignotti, Vincenzo Dattilo, Giovanni Battista Tura, Elisabetta Maffioletti, Edoardo Giacopuzzi, Vincenza Santoro, Giulia Perusi, Chiara Cobelli, Chiara Magri, Silvia Bonizzato, Luisella Bocchio-Chiavetto, Edoardo Spina, Antonio Vita, Massimo Gennarelli

Abstract

Background: Major depressive disorder (MDD) is a common, chronic, debilitating mood disorder that causes serious functional impairment and significantly decreased quality of life. Pharmacotherapy represents the first-line treatment option; however, only approximately one third of patients respond to the first treatment because of the ineffectiveness or side effects of antidepressants. Precision medicine in psychiatry might offer clinicians the possibility to tailor treatment according to the best possible evidence of efficacy and tolerability for each subject. In this context, our study aims to carry out a clinical validation of a combinatorial pharmacogenomics (PGx) test in an Italian MDD patient cohort with advocacy license independence.

Methods: Our study is a prospective participant- and rater-blinded, randomized, controlled clinical observational trial enrolling 300 MDD patients who are referred to psychiatric services to receive a new antidepressant due to the failure of their current treatment and/or the onset of adverse effects. Eligible participants are randomized to the TGTG group (Treated with Genetic Test Guide) or TAU group (Treated as Usual). For all subjects, DNA is collected with a buccal brush. The primary outcome is the reduction in depressive symptomatology. The secondary outcomes involve a range of scales that assess MDD symptoms and social functioning outcomes. The assessment is performed at four timepoints: baseline and 4, 8, and 12 weeks.

Discussion: This project represents the first randomized controlled clinical trial to investigate whether a non-commercial PGx test improves outcomes in an MDD naturalistic cohort. Moreover, the identification of new genetic variants associated with non-response or side effects will improve the efficacy of the test, leading to further cost-saving.

Trial registration number: ClinicalTrials.gov NCT04615234. Registered on November 4, 2020.

Keywords: Antidepressant response; Depression; Efficacy; Major depressive disorder; Pharmacogenetic testing; Precision medicine; Randomized controlled clinical.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Flowchart of the trial design
Fig. 2
Fig. 2
Schedule of enrolment, interventions, assessments, and outcomes of the PANDORA trial
Fig. 3
Fig. 3
Example of a report. The report shows the classification of drugs in the three recommended categories, green (“use as directed”), yellow (“use with caution”), and red (“use with extreme caution”). The current AD (“1st drug”) is excluded from the list to avoid clinician bias in decision-making

References

    1. Hasin DS, Sarvet AL, Meyers JL, Saha TD, Ruan WJ, Stohl M, et al. Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States. JAMA Psychiatry. 2018;75:336–346. doi: 10.1001/jamapsychiatry.2017.4602.
    1. Souery D, Serretti A, Calati R, Oswald P, Massat I, Konstantinidis A, et al. Switching antidepressant class does not improve response or remission in treatment-resistant depression. J Clin Psychopharmacol. 2011;31:512–516. doi: 10.1097/JCP.0b013e3182228619.
    1. Gaynes BN, Rush AJ, Trivedi MH, Wisniewski SR, Spencer D, Fava M. The STAR*D study: treating depression in the real world. Cleve Clin J Med. 2008;75:57–66. doi: 10.3949/ccjm.75.1.57.
    1. Fabbri C, Serretti A. Genetics of treatment outcomes in major depressive disorder: present and future. Clin Psychopharmacol Neurosci. 2020;18:1–9. doi: 10.9758/cpn.2020.18.1.1.
    1. Gratten J, Wray NR, Keller MC, Visscher PM. Large-scale genomics unveils the genetic architecture of psychiatric disorders. Nat Neurosci. 2014;17:782–790. doi: 10.1038/nn.3708.
    1. Fabbri C, Zohar J, Serretti A. Pharmacogenetic tests to guide drug treatment in depression: comparison of the available testing kits and clinical trials. Prog Neuropsychopharmacol Biol Psychiatry. 2018;86:36–44. doi: 10.1016/j.pnpbp.2018.05.007.
    1. Bousman CA, Arandjelovic K, Mancuso SG, Eyre HA, Dunlop BW. Pharmacogenetic tests and depressive symptom remission: a meta-analysis of randomized controlled trials. Pharmacogenomics [Internet] 2019;20:37–47. doi: 10.2217/pgs-2018-0142.
    1. APA . Diagnostic and statistical manual of mental disorders. 5. Arlington, VA: American Psychiatric Association; 2013.
    1. Fleck MP, Poirier-Littre MF, Guelfi JD, Bourdel MC, Loo H. Factorial structure of the 17-item Hamilton Depression Rating Scale. Acta Psychiatr Scand [Internet] 1995;92:168–172. doi: 10.1111/j.1600-0447.1995.tb09562.x.
    1. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res [Internet] 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6.
    1. First M, Williams J, Karg R, Spitzer R. Structured clinical interview for DSM-5 disorders, clinician version (SCID-5-CV) Arlington, VA: American Psychiatric Association; 2016.
    1. First M, Williams J, Benjamin L, Spitzer R. User’s Guide for the SCID-5-PD (structured clinical interview for DSM-5 personality disorder) Arlington, VA: American Psychiatric Association; 2015.
    1. Beck AT, Steer R, Brown G. Manual for the beck depression inventory-II. San Antonio, TX: Psychological Corporation; 1996.
    1. Beck AT, Steer R. Beck anxiety inventory manual. San Antonio, TX: Psychological Corporation; 1993.
    1. Balestrieri M, Isola M, Bonn R, Tam T, Vio A, Linden M, et al. Validation of the Italian version of Mini-ICF-APP, a short instrument for rating activity and participation restrictions in psychiatric disorders. Epidemiol Psychiatr Sci [Internet] 2013;22:81–91. doi: 10.1017/S2045796012000480.
    1. Lingjaerde O, Ahlfors UG, Bech P, Dencker SJ, Elgen K. The UKU side effect rating scale. A new comprehensive rating scale for psychotropic drugs and a cross-sectional study of side effects in neuroleptic-treated patients. Acta Psychiatr Scand Suppl [Internet] 1987;334:1–100.
    1. Bifulco A, Bernazzani O, Moran PM, Jacobs C. The childhood experience of care and abuse questionnaire (CECA.Q): validation in a community series. Br J Clin Psychol [Internet] 2005;44:563–581. doi: 10.1348/014466505X35344.
    1. Baratta S, Colorio C, Zimmermann-Tansella C. Inter-rater reliability of the Italian version of the Paykel Scale of stressful life events. J Affect Disord [Internet] 1995;8:279–282. doi: 10.1016/0165-0327(85)90027-8.
    1. Pérez V, Salavert A, Espadaler J, Tuson M, Saiz-Ruiz J, Sáez-Navarro C, et al. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry [Internet] 2017;17:250. doi: 10.1186/s12888-017-1412-1.
    1. Hall-Flavin DK, Winner JG, Allen JD, Carhart JM, Proctor B, Snyder KA, Drews MS, Eisterhold LL, Geske J, Mrazek DA. Utility of integrated pharmacogenomic testing to support the treatment of major depressive disorder in a psychiatric outpatient setting. Pharmacogenet Genomics. 2013;23(10):535–548. doi: 10.1097/FPC.0b013e3283649b9a.
    1. Hans E, Hiller W. Effectiveness of and dropout from outpatient cognitive behavioral therapy for adult unipolar depression: a meta-analysis of nonrandomized effectiveness studies. J Consult Clin Psychol. 2013;81(1):75–88. doi: 10.1037/a0031080.
    1. Tansey KE, Guipponi M, Hu X, Domenici E, Lewis G, Malafosse A, Wendland JR, Lewis CM, McGuffin P, Uher R. Contribution of common genetic variants to antidepressant response. Biol Psychiatry Elsevier. 2013;73(7):679–682. doi: 10.1016/j.biopsych.2012.10.030.
    1. Corponi F, Fabbri C, Serretti A. Pharmacogenetics and depression: a critical perspective. Psychiatry Investig. 2019;16(9):645–653. doi: 10.30773/pi.2019.06.16.
    1. Brown L, Vranjkovic O, Li J, Yu K, Al Habbab T, Johnson H, et al. The clinical utility of combinatorial pharmacogenomic testing for patients with depression: a meta-analysis. Pharmacogenomics. 2020;21(8):559–569. doi: 10.2217/pgs-2019-0157.
    1. Winner JG, Dechairo B. Combinatorial versus individual gene pharmacogenomic testing in mental health: a perspective on context and implications on clinical utility. Yale J Biol Med. 2015;88(4):375–382.

Source: PubMed

3
Tilaa