Evidence map›Paper›PMID 34423496›Full record

ArticleThe oncologist2021

Impact of CYP2D6 Pharmacogenomic Status on Pain Control Among Opioid-Treated Oncology Patients.

Natalie Reizine, Keith Danahey, Emily Schierer, Ping Liu, Merisa Middlestadt, Jenna Ludwig, Tien M Truong, Xander M R van Wijk, Kiang-Teck J Yeo, Monica Malec and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 28 citations in OpenAlex.

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  13. Opioid analgesic dose and route conversion ratio studies: a scoping review to inform an eDelphi guideline.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  16. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Natalie ReizineSection of Geriatric and Palliative Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.ORCID 0000-0001-9240-9943
Keith DanaheyCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-2418-855X
Emily SchiererCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
Ping LiuDepartment of Public Health Services, University of Chicago, Chicago, Illinois, USA.
Merisa MiddlestadtCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
Jenna LudwigCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
Tien M TruongSection of Geriatric and Palliative Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.
Xander M R van WijkDepartment of Pathology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.ORCID 0000-0001-8524-1281
Kiang-Teck J YeoDepartment of Pathology, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.ORCID 0000-0002-4708-8420
Monica MalecSection of Geriatric and Palliative Medicine, Department of Medicine, University of Chicago, Chicago, Illinois.ORCID 0000-0002-1858-0854
Mark J RatainSection of Geriatric and Palliative Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.ORCID 0000-0002-0938-4392
Peter H O'DonnellSection of Geriatric and Palliative Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois, USA.
University of Chicago · USChicago Department of Public Health · US

Funding

CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Implementation of Point-of-Care Pharmacogenomic Decision Support in Perioperative Care - Resubmission 01R01HG009938 · NHGRI · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2018 to 2022
$4.0M
NHGRI NIH HHS R01 HG009938NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

backgroundSeveral opioids have pharmacogenomic associations impacting analgesic efficacy. However, germline pharmacogenomic testing is not routinely incorporated into supportive oncology. We hypothesized that CYP2D6 profiling would correlate with opioid prescribing and hospitalizations. MATERIALS AND

methodsWe analyzed 61,572 adult oncology patients from 2012 to 2018 for opioid exposures. CYP2D6 metabolizer phenotype (ultra-rapid [UM], normal metabolizer [NM], intermediate [IM], or poor [PM]), the latter two of which may cause inefficacy of codeine, tramadol, and standard-dose hydrocodone, was determined for patients genotyped for reasons unrelated to pain. The primary endpoint was number of opioid medications received during longitudinal care (IM/PMs vs. NMs). Secondary endpoint was likelihood of pain-related hospital encounters.

resultsMost patients with cancer (n = 34,675, 56%) received multiple opioids (average 2.8 ± 1.6/patient). Hydrocodone was most commonly prescribed (62%), followed by tramadol, oxycodone, and codeine. In the CYP2D6 genotyped cohort (n = 105), IM/PMs received a similar number of opioids (3.4 ± 1.4) as NMs (3.3 ± 1.9). However, IM/PMs were significantly more likely to experience pain-related hospital encounters compared with NMs, independent of other variables (odds ratio [OR] = 5.4; 95% confidence interval [CI], 1.2-23.6; p = .03). IM/PMs were also more likely to be treated with later-line opioids that do not require CYP2D6 metabolism, such as morphine and hydromorphone (OR = 3.3; 95% CI, 1.1-9.8; p = .03).

conclusionCYP2D6 genotype may identify patients with cancer at increased risk for inadequate analgesia when treated with typical first-line opioids like codeine, tramadol, or standard-dose hydrocodone. Palliative care considerations are an integral part of optimal oncology care, and these findings justify prospective evaluation of preemptive genotyping as a strategy to improve oncology pain management. IMPLICATIONS FOR PRACTICE: Genomic variation in metabolic enzymes can predispose individuals to inefficacy when receiving opioid pain medications. Patients with intermediate and/or poor CYP2D6 metabolizer status do not adequately convert codeine, tramadol, and hydrocodone into active compounds, with resulting increased risk of inadequate analgesia. This study showed that patients with cancer frequently receive CYP2D6-dependent opioids. However, patients with CYP2D6 intermediate and poor metabolizer status had increased numbers of pain-related hospitalizations and more frequently required the potent non-CYP2D6 opioids morphine and hydromorphone. This may reflect inadequate initial analgesia with the common "first-line" CYP2D6-metabolized opioids. Preemptive genotyping to guide opioid prescribing during cancer care may improve pain-related patient outcomes.

Indexed as

Analgesics, OpioidNeoplasmsCytochrome P-450 CYP2D6HumansPainPain ManagementPharmacogeneticsPractice Patterns, Physicians'Analgesics, OpioidCytochrome P-450 CYP2D6CancerOncologyOpioidsPainPharmacogenomics

Identifiers

PMID34423496
PMCPMC8571740
OpenAlexW3193907930

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.