Evidence map›Paper›PMID 36358727›Full record

ArticleCancers2022

A Novel apaQTL-SNP for the Modification of Non-Small-Cell Lung Cancer Susceptibility across Histological Subtypes.

Anni Qiu, Huiwen Xu, Liping Mao, Buyun Xu, Xiaoyu Fu, Jingwen Cheng, Rongrong Zhao, Zhounan Cheng, Xiaoxuan Liu, Jingsheng Xu and 5 more

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (Animals : an open access journal from MDPI · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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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

15 authors.

Anni QiuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Huiwen XuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Liping MaoDepartment of Oncology, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong 226001, China.
Buyun XuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Xiaoyu FuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Jingwen ChengDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Rongrong ZhaoDepartment of Oncology, Jiangdu People's Hospital of Yangzhou, Yangzhou 225202, China.
Zhounan ChengDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Xiaoxuan LiuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Jingsheng XuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Yan ZhouDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Yang DongDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Tian TianDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.
Guangyu TianDepartment of Oncology, Jiangdu People's Hospital of Yangzhou, Yangzhou 225202, China.
Minjie ChuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China.

Funding

National Natural Science Foundation of China 82273715Natural Science Foundation of Jiangsu Province BK20191449Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX21-3126, KYCX20-2852
6 · The paper itself

Abstract

Background: Alternative polyadenylation (APA) events may be modulated by single nucleotide polymorphisms (SNPs). Therefore, this study aims to evaluate the association between APA quantitative trait loci (apaQTLs)-related SNPs (apaQTL-SNPs) and non-small-cell lung cancer (NSCLC) risk. Methods: APA-related genes associated with NSCLC (LUAD and LUSC) were first identified, and the respective apaQTL-SNPs of those genes were selected. Then, a two-phase case-control study was performed to evaluate the association between candidate apaQTL-SNPs and NSCLC risk. Results: A total of 7 LUAD- and 21 LUSC-associated apaQTL-SNPs were selected. In the first phase, the apaQTL-SNP rs10138506 was significantly associated with LUAD risk (p < 0.05), whereas the other two apaQTL-SNPs (rs1130698 and rs1130719) were significantly associated with LUSC risk (p < 0.05). In the second phase, the variant G allele of rs10138506 was still significantly associated with an increased risk of LUAD (OR = 1.42, 95%CI = 1.02−1.98, p = 0.038). Functional annotation indicated that the variant G allele of rs10138506 was significantly associated with a higher PDUI value of CHURC1. Meanwhile, 3′RACE experiments verified the presence of two poly(A) sites (proximal and distal) in CHURC1, while qRT-PCR results indicated that different genotypes of rs1127968 which, in perfect LD with rs10138506, can mediate changes in the lengths of the 3′UTR of CHURC1 isoforms. Conclusion: The variant G allele of rs10138506 in CHURC1 was correlated with a longer 3′UTR of CHURC1 mRNA and an increased LUAD risk. Further studies should evaluate the interaction between rs10138506 and different 3′UTR lengths of CHURC1 that regulate LUAD development.

Indexed as

alternative polyadenylationlung adenocarcinomanon-small-cell lung cancersingle nucleotide polymorphismsusceptibility

Identifiers

PMID36358727
PMCPMC9658938

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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.