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Application of pharmacogenomics in supportive oncology: a patient journey

    Dung G Nguyen

    Department of Cancer Pharmacology & Pharmacogenomics,Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC 28204, USA

    ,
    Sarah A Morris

    Department of Cancer Pharmacology & Pharmacogenomics,Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC 28204, USA

    &
    Jai N Patel

    *Author for correspondence: Tel.: +1 980 442 4113;

    E-mail Address: jai.patel@atriumhealth.org

    Department of Cancer Pharmacology & Pharmacogenomics,Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC 28204, USA

    Published Online:https://doi.org/10.2217/pgs-2022-0133
    Free first page

    References

    • 1. Van den Beuken-van Everdingen MH, Hochstenbach LM, Joosten EA, Tjan-Heijnen VC, Janssen DJ. Update on prevalence of pain in patients with cancer: systematic review and meta-analysis. J. Pain Symptom Manage. 51(6), 1070–1090.e9 (2016).
    • 2. Krebber AM, Buffart LM, Kleijn G et al. Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments. Psychooncology 23 (2), 121–130 (2014).
    • 3. Temel JS, Greer JA, Muzikansky A et al. Early palliative care for patients with metastatic non-small-cell lung cancer. N. Engl. J. Med. 363(8), 733–742 (2010).
    • 4. Chanfreau-Coffinier C, Hull LE, Lynch JA et al. Projected prevalence of actionable pharmacogenetic variants and level A drugs prescribed among US Veterans Health Administration pharmacy users. JAMA Netw. Open 2(6), e195345 (2019).
    • 5. Wang L, Scherer SE, Bielinski SJ et al. Implementation of preemptive DNA sequence-based pharmacogenomics testing across a large academic medical center: the Mayo–Baylor RIGHT 10K Study. Genet. Med. 24(5), 1062–1072 (2022).
    • 6. US FDA. Table of pharmacogenetic associations (2022). www.fda.gov/medical-devices/precision-medicine/table-pharmacogenetic-associations
    • 7. Relling MV, Klein TE, Gammal RS, Whirl-Carrillo M, Hoffman JM, Caudle KE. The Clinical Pharmacogenetics Implementation Consortium: 10 years later. Clin. Pharmacol. Ther. 107(1), 171–175 (2020).
    • 8. Andersen RL, Johnson DJ, Patel JN. Personalizing supportive care in oncology patients using pharmacogenetic-driven treatment pathways. Pharmacogenomics 17(4), 417–434 (2016).
    • 9. Crews KR, Monte AA, Huddart R et al. Clinical Pharmacogenetics Implementation Consortium guideline for CYP2D6, OPRM1, and COMT genotypes and select opioid therapy. Clin. Pharmacol. Ther. 110(4), 888–896 (2021).
    • 10. Theken KN, Lee CR, Gong L et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2C9 and nonsteroidal anti-inflammatory drugs. Clin. Pharmacol. Ther. 108(2), 191–200 (2020).
    • 11. Hicks JK, Bishop JR, Sangkuhl K et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 and CYP2C19 genotypes and dosing of selective serotonin reuptake inhibitors. Clin. Pharmacol. Ther. 98(2), 127–134 (2015).
    • 12. Hicks JK, Sangkuhl K, Swen JJ et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update. Clin. Pharmacol. Ther. 102(1), 37–44 (2017).
    • 13. National Comprehensive Cancer Network. Distress management (version 2.2022) (2022). www.nccn.org/guidelines/guidelines-detail?category=3&id=1431
    • 14. Association for Molecular Pathology. Practice guidelines (2022). www.amp.org/clinical-practice/practice-guidelines
    • 15. Patel JN, Boselli D, Jandrisevits EJ et al. Potentially actionable pharmacogenetic variants and symptom control medications in oncology. Support. Care Cancer 29(10), 5927–5934 (2021).
    • 16. Reizine N, Danahey K, Schierer E et al. Impact of CYP2D6 pharmacogenomic status on pain control among opioid-treated oncology patients. Oncologist 26(11), e2042–e2052 (2021).
    • 17. Patel JN, Boselli D, Hamadeh IS et al. Pain management using clinical pharmacy assessments with and without pharmacogenomics in an oncology palliative medicine clinic. JCO Oncol. Pract. 16(2), e166–e174 (2020).
    • 18. Patel JN, Boselli D, Symanowski J et al. Pilot study of multi-gene pharmacogenetic testing for pain management in oncology palliative medicine. Pharmacogenomics 22(12), 737–748 (2021).
    • 19. Patel JN, Arnall J, Jandrisevits E et al. Pharmacogenomics-guided supportive oncology: a tale of two trials. Contemp. Clin. Trials 105, 106391 (2021).
    • 20. Mosley SA, Hicks JK, Portman DG et al. Design and rationale for the precision medicine guided treatment for cancer pain pragmatic clinical trial. Contemp. Clin. Trials 68, 7–13 (2018).