Evidence map›Paper›PMID 33284833›Full record

ArticlePloS one2020

Association of PARP1-specific polymorphisms and haplotypes with non-small cell lung cancer subtypes.

Jing Jin, Heather Robeson, Pebbles Fagan, Mohammed S Orloff

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Immune-related genetic single-nucleotide polymorphisms contribute to prognosis and response to chemotherapy in patients with acute lymphoblastic leukemia.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
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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

4 authors at 2 institutions in 1 country.

Jing JinDepartment of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Heather RobesonDepartment of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Pebbles FaganDepartment of Health Behavior and Health Education, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Mohammed S OrloffDepartment of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.ORCID 0000-0002-5920-0627
University of Arkansas for Medical Sciences · USWinthrop Rockefeller Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe carcinogenesis role of PARP1 in lung cancer is still not clear. Analysis at allelic levels cannot fully explain the function of PARP1 on lung cancer. Our study aims to further explore the relation between PARP1 haplotypes and lung cancer. MATERIALS AND

methodsDNA and RNA were extracted from non-small cell lung cancer (NSCLC) tumor and adjacent normal fresh frozen tissue. Five PARP1-SNPs were genotyped and PARP1-specific SNPs were imputed using IMPUTE and SHAPEIT software. The SNPs were subjected to allelic, haplotype and SNP-SNP interaction analyses. Correlation between SNPs and mRNA/protein expressions were performed.

resultsSNP imputation inferred the ungenotyped SNPs and increased the power for association analysis. Tumor tissue samples are more likely to carry rs1805414 (OR = 1.85; 95% CI: 1.12-3.06; P-value: 0.017) and rs1805404 (OR = 2.74; 95%CI 1.19-6.32; P-value: 0.015) compared to normal tissues. Our study is the first study to show that haplotypes comprising of 5 SNPs on PARP1 (rs1136410, rs3219073, rs1805414, rs1805404, rs1805415) is able to differentiate the NSCLC tumor from normal tissues. Interaction between rs3219073, rs1805415, and rs1805414 were significantly associated with the NSCLC tumor with OR ranging from 3.61-6.75; 95%CI from 1.82 to 19.9; P-value<0.001.

conclusionPARP1 haplotypes may serve as a better predictor in lung cancer development and prognosis compared to single alleles.

Indexed as

AdultAgedAged, 80 and overAllelesCarcinoma, Non-Small-Cell LungCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHaplotypesHumansLinkage DisequilibriumLung NeoplasmsMaleMiddle AgedPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1

Identifiers

PMID33284833
PMCPMC7721167
OpenAlexW3112216432

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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.