Evidence map›Paper›PMID 36230616›Full record

ArticleCancers2022

Genome-Wide Association Study Identifies Candidate Loci Associated with Opioid Analgesic Requirements in the Treatment of Cancer Pain.

Daisuke Nishizawa, Takeshi Terui, Kunihiko Ishitani, Shinya Kasai, Junko Hasegawa, Kyoko Nakayama, Yuko Ebata, Kazutaka Ikeda

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Dopamine transporter gene (Pain reports · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. International journal of molecular sciences · 2024
    Article
  10. Article
  11. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
  12. Article
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

8 authors.

Daisuke NishizawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.ORCID 0000-0001-8286-4651
Takeshi TeruiDivision of Internal Medicine, Department of Medicine, Higashi-Sapporo Hospital, Sapporo 003-8585, Japan.ORCID 0000-0002-6166-5335
Kunihiko IshitaniDivision of Internal Medicine, Department of Medicine, Higashi-Sapporo Hospital, Sapporo 003-8585, Japan.ORCID 0000-0001-8420-1608
Shinya KasaiAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.
Junko HasegawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.
Kyoko NakayamaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.
Yuko EbataAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.
Kazutaka IkedaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.ORCID 0000-0001-8342-0278

Funding

Japan Agency for Medical Research and Development JP19dk0307071Japan Agency for Medical Research and Development JP19ek0610011Japan Research Foundation for Clinical Pharmacology noneJapan Society for the Promotion of Science 17H04324Japan Society for the Promotion of Science 17K08970Japan Society for the Promotion of Science 18K08829Japan Society for the Promotion of Science 20K09259Japan Society for the Promotion of Science 21H03028Japan Society for the Promotion of Science 22790518Japan Society for the Promotion of Science 23390377Japan Society for the Promotion of Science 24790544Japan Society for the Promotion of Science 26293347Japan Society for the Promotion of Science JP22H04922 (AdAMS)Ministry of Health, Labour, and Welfare H26-Kakushintekigan-ippan-060Smoking Research Foundation none
6 · The paper itself

Abstract

Considerable individual differences have been widely observed in the sensitivity to opioids. We conducted a genome-wide association study (GWAS) in patients with cancer pain to identify potential candidate single-nucleotide polymorphisms (SNPs) that contribute to individual differences in opioid analgesic requirements in pain treatment by utilizing whole-genome genotyping arrays with more than 650,000 markers. The subjects in the GWAS were 428 patients who provided written informed consent and underwent treatment for pain with opioid analgesics in a palliative care unit at Higashi-Sapporo Hospital. The GWAS showed two intronic SNPs, rs1283671 and rs1283720, in the ANGPT1 gene that encodes a secreted glycoprotein that belongs to the angiopoietin family. These two SNPs were strongly associated with average daily opioid requirements for the treatment of pain in both the additive and recessive models (p < 5.0000 × 10−8). Several other SNPs were also significantly associated with the phenotype. In the gene-based analysis, the association was significant for the SLC2A14 gene in the additive model. These results indicate that these SNPs could serve as markers that predict the efficacy of opioid analgesics in cancer pain treatment. Our findings may provide valuable information for achieving satisfactory pain control and open new avenues for personalized pain treatment.

Indexed as

analgesicscancer paingenome-wide association studyopioidssingle-nucleotide polymorphisms

Identifiers

PMID36230616
PMCPMC9564079

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Registered trials

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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.