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Potentially actionable pharmacogenetic variants and symptom control medications in oncology.
Patel, Jai N; Boselli, Danielle; Jandrisevits, Elizabeth J; Hamadeh, Issam S; Salem, Ahmed; Meadors, Patrick; Walsh, Declan.
Afiliação
  • Patel JN; Department of Cancer Pharmacology & Pharmacogenomics, Atrium Health Levine Cancer Institute, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA. jai.patel@atriumhealth.org.
  • Boselli D; Department of Biostatistics, Atrium Health Levine Cancer Institute, Charlotte, NC, USA.
  • Jandrisevits EJ; Department of Cancer Pharmacology & Pharmacogenomics, Atrium Health Levine Cancer Institute, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
  • Hamadeh IS; Department of Cancer Pharmacology & Pharmacogenomics, Atrium Health Levine Cancer Institute, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
  • Salem A; Department of Cancer Pharmacology & Pharmacogenomics, Atrium Health Levine Cancer Institute, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
  • Meadors P; Section of Psycho-oncology, Center for Supportive Care and Survivorship, Atrium Health Levine Cancer Institute, Charlotte, NC, USA.
  • Walsh D; Department of Supportive Oncology, Atrium Health Levine Cancer Institute, Charlotte, NC, USA.
Support Care Cancer ; 29(10): 5927-5934, 2021 Oct.
Article em En | MEDLINE | ID: mdl-33758969
ABSTRACT

PURPOSE:

We estimated the prevalence of potentially actionable pharmacogenetic (PGx) variants related to symptom control medications (SCMs) based on institutional prescribing patterns and correlated presenting symptoms with SCM prescribing.

METHODS:

This was a retrospective study of adult ambulatory cancer patients undergoing electronic distress screening (EDS) within 90 days of intake to the cancer hospital. We estimated the proportion prescribed SCM(s) with PGx evidence within 90 days of intake. Those with potentially actionable variants were estimated using population frequency data from 1000 genomes. The expected number at risk of altered drug response was estimated. The associations between symptom scores and SCM(s) were estimated with logistic regression and threshold analyses performed with receiver operating characteristic (ROC) curves.

RESULTS:

Of 6985 patients, 3222 (46%) received ≥ one SCM. Of these, 2760 (86%) received SCM(s) with PGx evidence for CYP2B6, CYP2C19, CYP2D6, or SLC6A4; 2719 (84%) received a drug metabolized by CYP2D6, most commonly hydrocodone (40.4%), ondansetron (35.6%), oxycodone (24.2%), and/or tramadol (7.1%). Based on this, about one quarter were expected to have altered metabolism and/or drug response. One third were prescribed two or more SCMs with PGx evidence. About half reported at least one severe symptom, which significantly correlated with SCM prescribing (p < 0.001). Threshold scores were identified that highly correlated with SCM prescribing for anxiety, depression, nausea, neuropathy, pain, and sleep.

CONCLUSION:

About half presented with significant symptom burden, which highly correlated with SCM prescribing. Most received SCMs with PGx evidence. Preemptive PGx testing for these variants should be evaluated in prospective trials to evaluate the impact on symptom control.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Testes Farmacogenômicos / Variantes Farmacogenômicos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Testes Farmacogenômicos / Variantes Farmacogenômicos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article