ArticleCell reports. Medicine2022
Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- Pooled it
- EGFRxCD16 bispecific antibodies orchestrate superior NK cell-mediated lysis of ovarian cancer and NSCLC cell lines in combination with oncolytic viruses.Cancer immunology, immunotherapy : CII · 2026Article
- Integrated Proteomic and scRNA-Seq Analysis Reveals Pyroptosis-Related Subtypes in Lung Adenocarcinoma.The clinical respiratory journal · 2026Article
- RAS signaling in lung adenocarcinoma is defined by lineage context and DUSP4 loss.JCI insight · 2026Article
- Global impact of germline structural variation on the cancer proteome.Nature communications · 2026Article
- A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.Nature biotechnology · 2026Article
- Beyond Histology: A Unified Transcriptomic Atlas Defines Lung Cancer Biologic States and Subtypes.bioRxiv : the preprint server for biology · 2026Article
- Downregulated lysyl oxidase in plasma extracellular vesicles: a biomarker linked to brain metastasis risk in lung adenocarcinoma.BMC medicine · 2026Article
- Plasma proteomic profiling and molecular clustering reveal immune-defined prognostic subtypes in lung adenocarcinoma.International journal of cancer · 2026Article
- Current Insights and Future Directions of Multiomic and Spatial-Omic Analysis in Non-Small Cell Lung Cancer.JCO precision oncology · 2026Review
- Calcium-related genes predict prognosis, immune characteristics, and response to immunotherapy in LUAD patients.Clinical proteomics · 2026Article
- Deciphering RNA and protein expression discordance identifies TOP2A as a prognostic biomarker and potential therapeutic target in lung adenocarcinoma.Discover oncology · 2026Article
- Integrative clinico-molecular analysis reveals actionable subtypes and biomarkers in lung adenocarcinoma.Cell discovery · 2026Article
- A data-driven pan-cancer proteogenomic analysis reveals the characteristics of human cancer protein expression.iScience · 2026Article
- LOSTdb: a manually curated multi-omics database for lung cancer research.BMC bioinformatics · 2025Article
- IGFBP1 facilitates tumor proliferation, invasion and migration by modulating the MAPK-ERK signaling pathway in lung adenocarcinoma.BMC cancer · 2025Article
- Koina: Democratizing machine learning for proteomics research.Nature communications · 2025Article
- Refining treatment strategies for non-small cell lung cancer lacking actionable mutations: insights from multi-omics studies.British journal of cancer · 2025Review
- Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations.Molecular oncology · 2025Article
- Integrated systems biology reveals an 8-gene signature predicting early-stage lung adenocarcinoma progression and patient survival.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
24 authors at 8 institutions in 1 country.
Funding
Abstract
We present a deep proteogenomic profiling study of 87 lung adenocarcinoma (LUAD) tumors from the United States, integrating whole-genome sequencing, transcriptome sequencing, proteomics and phosphoproteomics by mass spectrometry, and reverse-phase protein arrays. We identify three subtypes from somatic genome signature analysis, including a transition-high subtype enriched with never smokers, a transversion-high subtype enriched with current smokers, and a structurally altered subtype enriched with former smokers, TP53 alterations, and genome-wide structural alterations. We show that within-tumor correlations of RNA and protein expression associate with tumor purity and immune cell profiles. We detect and independently validate expression signatures of RNA and protein that predict patient survival. Additionally, among co-measured genes, we found that protein expression is more often associated with patient survival than RNA. Finally, integrative analysis characterizes three expression subtypes with divergent mutations, proteomic regulatory networks, and therapeutic vulnerabilities. This proteogenomic characterization provides a foundation for molecularly informed medicine in LUAD.
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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.