Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Unveiling novel potential drug targets for lung cancer through Mendelian randomization analysis.

Scientific reports - 23 Dec 2025

Huang Yawei, Geng Mengya, Zhang Mukun

Abstract excerpt

Lung cancer (LC) is among the most prevalent cancers globally, posing a significant threat to human health. This study employed Mendelian randomization (MR) analysis to identify key drug targets for LC treatment. MR results from the inverse variance weighted (IVW) algorithm highlighted 352 expression quantitative trait loci (eQTLs) and 31 protein quantitative trait loci (pQTLs) causally associated with LC....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antineoplastic Agents
Share to SERPING1 gene
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Lung Neoplasms

Share to Mendelian Randomization Analysis

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 41436647
DOI: 10.1038/s41598-025-33574-7
PMCID: PMC12848082

Genes

PTGFR
SERPING1
BRAT1
FAM241A
H2BC11
MICAL1
MPHOSPH6
RHNO1
TDRD9
ZKSCAN3
ZKSCAN4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Unveiling novel potential drug targets for lung cancer through Mendelian randomization analysis.PMID 41436647Read ↗

Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for lung cancer.Semantic proximity Read ↗

Therapeutic targets for lung cancer: genome-wide Mendelian randomization and colocalization analysesSemantic proximity Read ↗

Systematic Mendelian randomization using the human plasma proteome to identify therapeutic targets for lung adenocarcinomaSemantic proximity Read ↗

Potential drug targets for tumors identified through Mendelian randomization analysis.Semantic proximity Read ↗

Druggable genome-wide Mendelian randomization integrating GWAS and eQTL/pQTL data identifies targets for lung squamous cell carcinomaSemantic proximity Read ↗

Systematic proteome-wide Mendelian randomization using the human plasma proteome to identify therapeutic targets for lung adenocarcinoma.Semantic proximity Read ↗

Multicomponent Mendelian randomization and machine learning studies of potential drug targets for neurodegenerative diseasesSemantic proximity Read ↗

Identification of promising lung cancer drug targets from human plasma proteins: Mendelian randomization, single-cell RNA sequencing analysisSemantic proximity Read ↗

Mendelian randomization analysis identifies druggable genes and drugs repurposing for chronic obstructive pulmonary disease.Semantic proximity Read ↗

Leveraging pQTL-based Mendelian randomization to identify new treatment prospects for primary biliary cholangitis and primary sclerosing cholangitis.Semantic proximity Read ↗

Exploring Metabolites as Therapeutic Targets in Lung Cancer: Insights from Mendelian RandomizationSemantic proximity Read ↗

TBK1, a prioritized drug repurposing target for amyotrophic lateral sclerosis: evidence from druggable genome Mendelian randomization and pharmacological verification in vitroSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.