ArticleCancer cell2025
Integrative analysis of lung adenocarcinoma across diverse ethnicities and exposures.
Article in Cancer cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- PathMED: an R toolkit for single-sample molecular scoring and machine learning with omics data.Bioinformatics (Oxford, England) · 2026Article
- Reply to the Letter to the Editor: Lung cancer screening in Asian populations: from radiological convergence to mechanistic heterogeneity.European radiology · 2026Article
- Cancer Heterogeneity and Cancer Cell Plasticity: Molecular Mechanisms and Precision Therapy.MedComm · 2026Review
- Methylation signatures distinguish non-small cell lung cancer subtypes and are associated with survival in smokers with lung squamous cell carcinoma.Journal of the National Cancer Institute · 2026Article
- Fibroblast-derived HSD11B1 deficiency drives lung cancer in never-smokers through steroid metabolic imbalance.NPJ precision oncology · 2026Article
- Multidimensional Proteomics Reveals the Pro-apoptotic Mechanism of Platycodin D: Targeting RFC4 to Regulate the Notch Signaling Axis in Non-Small Cell Lung Cancer.Molecular & cellular proteomics : MCP · 2026Article
- Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.Discover oncology · 2026Article
- Artificial intelligence-enabled multi-omics biomarkers for immune checkpoint blockade: mechanisms, predictive modeling, and clinical translation.Frontiers in immunology · 2026Review
- Integrated bulk and single-cell transcriptomics with experimental validation to identify calmodulin-related prognostic genes in lung adenocarcinoma.American journal of cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
96 authors.
Funding
Abstract
Lung adenocarcinomas (LUAD) are a pressing global health problem with enduring lethality and rapidly shifting epidemiology. Proteogenomic studies integrating proteomics and post-translational modifications with genomics can identify clinical strata and oncogenic mechanisms, but have been underpowered to examine effects of ethnicity, smoking and environmental exposures, or sex on this heterogeneous disease. This comprehensive proteogenomic analysis of LUAD tumors and matched normal adjacent tissues from 406 patients across diverse geographic and demographic backgrounds explores the impact of understudied driver mutations, prognostic role of chromosomal instability, patterns of immune signaling, differential and sex-specific effects of endogenous mutagens and environmental carcinogens, and pathobiology of early-stage tumors with "late-like" characteristics. Candidate protein biomarkers are proposed for unstable tumors with highly fragmented genomes and for carcinogen exposures, and a LUAD subtype-specific atlas of therapeutic vulnerabilities is presented. These observations and the associated data resource advance the objective of precision management strategies for this devastating disease.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.