Evidence map›Paper›PMID 39003419›Full record

ArticleCommunications biology2024

Integrating apaQTL and eQTL analysis identifies a potential causal variant associated with lung adenocarcinoma risk in the Chinese population.

Huiwen Xu, Yutong Wu, Qiong Chen, Yuhui Yu, Qianyao Meng, Na Qin, Wendi Zhang, Xiaobo Tao, Siqi Li, Tian Tian and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Functions and mechanisms of miR-650 in human diseases.Frontiers in molecular biosciences · 2026
    Review
  3. Article
  4. Article
  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

14 authors.

Huiwen Xu *Department of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yutong Wu *Department of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Qiong Chen *Department of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yuhui Yu *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Qianyao MengDepartment of Global Health and Population, School of Public Health, Harvard University, Boston, MA, USA.
Na QinDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Wendi ZhangDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xiaobo TaoDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Siqi LiDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Tian TianDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Lei ZhangDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Hongxia MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Jiahua CuiDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China. cuijiahua@ntu.edu.cn.ORCID 0009-0000-2245-9929
Minjie ChuDepartment of Epidemiology, School of Public Health, Nantong University, Nantong, Jiangsu, China. chuminjie@ntu.edu.cn.ORCID 0000-0002-7533-9119

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82203771
6 · The paper itself

Abstract

Alternative polyadenylation (APA) plays a crucial role in cancer biology. Here, we used data from the 3'aQTL-atlas, GTEx, and the China Nanjing Lung Cancer GWAS database to explore the association between apaQTL/eQTL-SNPs and the risk of lung adenocarcinoma (LUAD). The variant T allele of rs277646 in NIT2 is associated with an increased risk of LUAD (OR = 1.12, P = 0.015), lower PDUI values, and higher NIT2 expression. The 3'RACE experiment showed multiple poly (A) sites in NIT2, with the rs277646-T allele causing preferential use of the proximal poly (A) site, resulting in a shorter 3'UTR transcript. This leads to the loss of the hsa-miR-650 binding site, thereby affecting LUAD malignant phenotypes by regulating the expression level of NIT2. Our findings may provide new insights into understanding and exploring APA events in LUAD carcinogenesis.

Indexed as

Adenocarcinoma of LungGenetic Predisposition to DiseaseLung NeoplasmsQuantitative Trait LociChinaEast Asian PeopleGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansPolyadenylationPolymorphism, Single Nucleotide

Identifiers

PMID39003419
PMCPMC11246497

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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.