Evidence map›Paper›PMID 39096122›Full record

ArticleCancer medicine2024

Potentially functional variants of ERRFI1 in hypoxia-related genes predict survival of non-small cell lung cancer patients.

Huilin Wang, Hongliang Liu, Guojun Lu, Xiaozhun Tang, Sheng Luo, Mulong Du, David C Christiani, Qingyi Wei

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers 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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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huilin WangDepartment of Respiratory Oncology, Guangxi Cancer Hospital, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Guojun LuDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Xiaozhun TangDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Mulong DuDepartment of Environmental Health and Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA.
David C ChristianiDepartment of Environmental Health and Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.ORCID 0000-0002-3845-9445

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

backgroundHypoxia is often involved in tumor microenvironment, and the hypoxia-induced signaling pathways play a key role in aggressive cancer phenotypes, including angiogenesis, immune evasion, and therapy resistance. However, it is unknown what role genetic variants in the hypoxia-related genes play in survival of patients with non-small cell lung cancer (NSCLC).

methodsWe evaluated the associations between 16,092 single-nucleotide polymorphisms (SNPs) in 182 hypoxia-related genes and survival outcomes of NSCLC patients. Data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial were used as the discovery dataset, and the Harvard Lung Cancer Susceptibility (HLCS) Study served as the replication dataset. We also performed additional linkage disequilibrium analysis and a stepwise multivariable Cox proportional hazards regression analysis in the PLCO dataset.

resultsAn independent SNP, ERRFI1 rs28624 A > C, was identified with an adjusted hazards ratio (HR) of 1.31 (95% CI = 1.14-1.51, p = 0.0001) for overall survival (OS). In further analyses, unfavorable genotypes AC and CC, compared with the AA genotype, were associated a worse OS (HR = 1.20, 95% CI = 1.03-1.39, p = 0.014) and disease-specific survival (HR = 1.21, 95% CI = 1.04-1.42, p = 0.016). Further expression quantitative trait loci analysis indicated that ERRFI1 rs28624C genotypes were significantly associated with higher ERRFI1 mRNA expression levels in the whole blood. Additional analysis showed that high ERRFI1 mRNA expression levels were associated with a worse OS in patients with lung adenocarcinoma.

conclusionOur findings suggest that genetic variants in the hypoxia-related gene ERRFI1 may modulate NSCLC survival, potentially through their effect on the gene expression.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsPolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingAgedBiomarkers, TumorFemaleGenotypeHumansLinkage DisequilibriumMaleMiddle AgedPrognosisTumor Suppressor ProteinsAdaptor Proteins, Signal TransducingBiomarkers, TumorERRFI1 protein, humanTumor Suppressor ProteinsERRFI1genome‐wide association studyhypoxianon‐small cell lung canceroverall survivalsingle‐nucleotide polymorphism

Identifiers

PMID39096122
PMCPMC11297539

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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.