Evidence map›Paper›PMID 36380410›Full record

ArticleCurrent cancer drug targets2025

Variants in

Chan Zhang, Qi Li, Yujing Cheng, Xin Yang, Wanlu Chen, Kunhua He, Mingwei Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Current cancer drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Annals of medicine · 2025
    Article
  3. Article
  4. 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

7 authors at 5 institutions in 1 country.

Chan ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of School of Medicine of Xi'an Jiaotong University, Xi'an, Shaanxi-710061, China.
Qi LiDepartment of Blood Transfusion, The First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming City-650100, Yunnan, China.
Yujing ChengDepartment of Blood Transfusion, The First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming City-650100, Yunnan, China.
Xin YangDepartment of Blood Transfusion, The First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming City-650100, Yunnan, China.
Wanlu ChenDepartment of Blood Transfusion, The First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming City-650100, Yunnan, China.
Kunhua HeDepartment of Blood Transfusion, Qujing No.1 Hospital, Qujing City-655000, Yunnan Province, China.
Mingwei ChenDepartment of Respiratory Medicine, The First Affiliated Hospital of School of Medicine of Xi'an Jiaotong University, Xi'an, Shaanxi-710061, China.
First People's Hospital of Yunnan Province · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNKunming University of Science and Technology · CNQujing Normal University · CNThe First Hospital of Kunming · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytochrome P450 (CYP) enzymes are involved in the metabolism of xenobiotic and carcinogen. In the study, we evaluated the association of CYP2J2 and CYP2C9 variants with lung cancer.

methodsFive polymorphisms in CYP2J2 and four polymorphisms in CYP2C9 were genotyped in 507 lung cancer patients and 505 controls with Agena MassARRAY platform. The linkage of variants with lung cancer risk was evaluated by odds ratio (OR) and 95% confidence interval (CI) in genetic models and haplotype analyses.

resultsWe found that CYP2C9 rs1934967 alleles were associated with lung cancer risk (P < 0.05). In stratified analysis, rs2280274 (women, non-smoker, non-drinker and lymphatic metastasis), rs11207535 (non-smoker and non-drinker), rs10889159 (non-smoker and non-drinker) of CYP2J2, whereas rs1934967 (age ≤ 60, BMI > 24, squamous carcinoma) of CYP2C9 decreased lung cancer risk (P < 0.05). In addition, the results of linkage disequilibrium (LD) analysis showed that rs2280274|rs4388726 - TG (with adjustment: P = 0.042) of CYP2J2 and rs10509679|rs1934967| rs1934968|rs9332220 - GTGG (without adjustment: P = 0.044) of CYP2C9 were linked with a significantly decreased lung cancer risk.

conclusionOur results indicated genetic variants in CYP2J2 and CYP2C9 might contribute to the susceptibility of lung cancer in Chinese population.

Indexed as

Cytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemGenetic Predisposition to DiseaseLung NeoplasmsPolymorphism, Single NucleotideAgedCase-Control StudiesCytochrome P-450 CYP2J2FemaleGenotypeHaplotypesHumansLinkage DisequilibriumMaleMiddle AgedCYP2C9 protein, humanCYP2J2 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 CYP2J2Cytochrome P-450 Enzyme Systemcarcinogen.CYP2C9CYP2J2genetic polymorphismsLung cancersusceptibility

Identifiers

PMID36380410
OpenAlexW4309158434

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.