Evidence map›Paper›PMID 36001223›Full record

ReviewCurrent treatment options in oncology2022

The Role of Pharmacogenomics in Opioid Prescribing.

Aaron K Wong, Andrew A Somogyi, Justin Rubio, Jennifer Philip

Open access · hybridAbstract readReview
In one paragraph

Review in Current treatment options in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Associations ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
  5. Cancer pain.Nature reviews. Disease primers · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Unlocking Performance: Pharmacogenomic Insights for Athletes.Sports medicine international open · 2026
    Review
  11. Review
  12. Review
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Article
  18. The origins and spread of the opium poppy (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  19. Review
  20. Review
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

4 authors at 3 institutions in 1 country.

Aaron K WongParkville Integrated Palliative Care Service, The Royal Melbourne Hospital, 300 Grattan St, Parkville, Victoria, 3050, Australia. aaron.wong@petermac.org.ORCID 0000-0002-6507-1219
Andrew A SomogyiDiscipline of Pharmacology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, 5005, Australia.
Justin RubioFlorey Institute of Neuroscience & Mental Health, 30 Royal Parade, Parkville, Victoria, 3052, Australia.
Jennifer PhilipParkville Integrated Palliative Care Service, The Royal Melbourne Hospital, 300 Grattan St, Parkville, Victoria, 3050, Australia.
The Royal Melbourne Hospital · AUFlorey Institute of Neuroscience and Mental Health · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementPharmacogenomics is increasingly important to guide objective, safe, and effective individualised prescribing. Personalised prescribing has revolutionised treatments in the past decade, allowing clinicians to maximise drug efficacy and minimise adverse effects based on a person's genetic profile. Opioids, the gold standard for cancer pain relief, are among the commonest medications prescribed in palliative care practice. This narrative review examines the literature surrounding opioid pharmacogenomics and its applicability to the palliative care cancer population. There is currently limited intersection between the fields of palliative care and pharmacogenomics, but growing evidence presents a need to build linkages between the two disciplines. Pharmacogenomic evidence guiding opioid prescribing is currently available for codeine and tramadol, which relates to CYP2D6 gene variants. However, these medications are prescribed less commonly for pain in palliative care. Research is accelerating with other opioids, where oxycodone (CYP2D6) and methadone (CYP2B6, ABCB1) already have moderate evidence of an association in terms of drug metabolism and downstream analgesic response and side effects. OPRM1 and COMT are receiving increasing attention and have implications for all opioids, with changes in opioid dosage requirements observed but they have not yet been studied widely enough to be considered clinically actionable. Current evidence indicates that incorporation of pharmacogenomic testing into opioid prescribing practice should focus on the CYP2D6 gene and its actionable variants. Although opioid pharmacogenomic tests are not widely used in clinical practice, the progressively reducing costs and rapid turnover means greater accessibility and affordability to patients, and thus, clinicians will be increasingly asked to provide guidance in this area. The upsurge in pharmacogenomic research will likely discover more actionable gene variants to expand international guidelines to impact opioid prescribing. This rapidly expanding area requires consideration and monitoring by clinicians in order for key findings with clinical implications to be accessible, meaningfully interpretable and communicated.

Indexed as

Analgesics, OpioidPharmacogeneticsCodeineCytochrome P-450 CYP2B6Cytochrome P-450 CYP2D6HumansMethadoneOxycodonePractice Patterns, Physicians'TramadolAnalgesics, OpioidCodeineCytochrome P-450 CYP2B6Cytochrome P-450 CYP2D6MethadoneOxycodoneTramadolAnalgesicsCancerOpioidPalliative carePharmacogenomic variantsPrecision medicine

Identifiers

PMID36001223
PMCPMC9526685
OpenAlexW4292879116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.