Evidence map›Paper›PMID 40719999›Full record

ArticleDiscover oncology2025

Deciphering bidirectional causal links between oxidative stress and lung cancer risk through Mendelian randomization.

XueLian Chen, JianRong Zeng, FengYun Cao, Jun Cai, Xin Ma, ChangYu Pu

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

XueLian ChenDepartment of Oncology, Suining City Traditional Chinese Medicine Hospital, Suining, Sichuan, China.
JianRong ZengDepartment of Oncology, Suining City Traditional Chinese Medicine Hospital, Suining, Sichuan, China.
FengYun CaoDepartment of Oncology, Suining City Traditional Chinese Medicine Hospital, Suining, Sichuan, China.
Jun CaiDepartment of Oncology, Shehong City Traditional Chinese Medicine Hospital, Shehong, Sichuan, China.
Xin MaDepartment of Oncology, Bazhong City Traditional Chinese Medicine Hospital, Bazhong, Sichuan, China.
ChangYu PuDepartment of Oncology, Suining City Traditional Chinese Medicine Hospital, Suining, Sichuan, China. 2126258618@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer remains the leading cause of cancer-related mortality globally. Despite advancements in treatment, survival rates for advanced-stage disease remain suboptimal, emphasizing the need for novel prevention strategies. Oxidative stress (OS), resulting from an imbalance between reactive oxygen species (ROS) and antioxidants, is implicated in lung cancer pathogenesis. This study aimed to explore bidirectional causal relationships between genetically predicted oxidative stress injury biomarkers (OSIBs) and lung cancer risk using mendelian randomization (MR).

methodsA two-sample bidirectional MR approach was used to assess causal effects of 16 OSIBs on lung cancer subtypes (small cell lung cancer, squamous cell carcinoma, and adenocarcinoma) and vice versa. Genetic data were derived from large-scale genome-wide association studies in European populations.

resultsMR analysis revealed significant associations. Higher albumin levels were associated with reduced adenocarcinoma risk (OR = 0.599, 95%CI: 0.369-0.974, P = 0.039). Elevated monounsaturated fatty acids levels were linked to an increased risk of squamous cell carcinoma (OR = 1.742, 95% CI: 1.095-2.772, P = 0.019). Increased lactate levels were positively associated with small cell lung cancer (OR = 4.565, 95% CI: 1.009-20.657, P = 0.049). Reverse MR analysis did not suggest causal effects of lung cancer on OSIBs.

conclusionThese findings highlight the distinct roles of OSIBs in lung cancer risk and underscore oxidative stress's pivotal role in cancer development. Further research is needed to validate these biomarkers for early detection and preventive strategies.

Indexed as

AlbuminGenome-wide association studiesLactateLung cancerMendelian randomizationMonounsaturated fatty acidsOxidative stress

Identifiers

PMID40719999
PMCPMC12304326

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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.