Evidence map›Paper›PMID 35107781›Full record

ArticlePain and therapy2022

Genetic and Clinical Factors Associated with Opioid Response in Chinese Han Patients with Cancer Pain: An Exploratory Cross-Sectional Study.

Chen Shi, Jinmei Liu, Jianli Hu, Xu Chen, Jiyi Xie, Juan Luo, Cong Wang, Hanxiang Wang, Qi Yuan, Haixia Zhu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Pain and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

16 authors at 2 institutions in 2 countries.

Chen Shi *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Jinmei Liu *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Jianli HuCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Xu ChenDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Jiyi XieDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Juan LuoDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Cong WangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Hanxiang WangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Qi YuanDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Haixia ZhuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Weijing GongDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Shijun LiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Hong ZhouDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China.
Leiyun WangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China.
Hui WangDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Yu ZhangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China. whxhzy@163.com.ORCID http://orcid.org/0000-0003-4094-5730
Union Hospital · CNCentral South University · CN

Funding

National Key Research and Development Plan of China 2017YFC0909900
6 · The paper itself

Abstract

introductionStudies have shown that genetic variation and environmental factors are associated with individual differences in therapeutic efficacy and side effects of opioids. However, the focus of these studies has been on a single factor of single-nucleotide polymorphisms (SNPs) or haplotypes, for which results have rarely been validated. For complex traits, such as cancer pain and opioid response, interactions between multiple genetic variation and environmental factors need to be considered to explain the opioid individual differences.

methodsWe conducted an exploratory two-stage cross-sectional study with 1027 Chinese patients who were taking strong opioid medications for their cancer pain, and genotyped 110 SNPs to explore the association of SNPs, haplotypes, gene-gene and gene-environment interactions with opioid dose, pain relief, and opioid-induced constipation.

resultsDue to the failure to meet Benjamini-Hochberg criteria in the discovery stage or to be validated in replication stage, no association was found between SNPs, haplotypes, paired SNP-SNP interactions or multi-dimensional gene-gene interactions and opioid response. However, for gene-environment interactions, optimal models have been constructed in all phenotypes of opioid response.

conclusionsThis study reveals for the first time that construction of multidimensional gene-environment interactions enables better interpretations of the effect of genetic variation and environmental factors on the opioid response in patients with cancer pain.

trial registrationChictr.org.cn, identifier, ChiCTR2000033576.

Indexed as

Cancer painGene–environment interactionGene–gene interactionGMDRIndividual differenceOpioid response

Identifiers

PMID35107781
PMCPMC8861215
OpenAlexW4210722966

What OpenQuestion holds

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LicenceCC BY-NC
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.