ArticleCell2020
Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 513 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
513 citing papers in PubMed, 792 citations in OpenAlex.
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- Post‑translational modification‑governed immune states in cancer immunity: Biomarker implications for checkpoint competence, tumor visibility and immunotherapy resistance (Review).International journal of oncology · 2026Review
- Complex assembly and activity states as multifaceted protein attributes explaining phenotypic variability.Molecular systems biology · 2026Article
- Identification of novel paracrine therapeutic targets in peritoneal metastases through integrative proteotranscriptomic analysis of ascites.Molecular cancer · 2026Article
- KRAS/ERK2-driven stabilization of AARS1 reprograms tumor metabolism and confers Sorafenib resistance in lung adenocarcinoma.Cell death and differentiation · 2026Article
- Tumor-intrinsic NSUN2 orchestrates immunosuppression in lung adenocarcinoma via the mExperimental hematology & oncology · 2026Article
- Multi-omics analysis reveals comprehensive aberrant protein and phosphorylation characteristics in breast cancer and paired metastatic lymph nodes.Protein & cell · 2026Article
- Identifying multigenic modules under selection in the tumor genome.Bioinformatics (Oxford, England) · 2026Article
- Prognostic Significance ofMedicina (Kaunas, Lithuania) · 2026Article
- Proteogenomic characterization of pulmonary large-cell neuroendocrine carcinoma identifies molecular features and therapeutic strategy.Science advances · 2026Article
- Lung tumour secretome and extracellular vesicles: mechanisms, biomarkers, and therapeutic opportunities.Cancer metastasis reviews · 2026Review
- Mechanism of Modified Shenqi Pill in Treatment of Allergic Rhinitis Comorbid with Asthma Based on Proteomics.Chinese journal of integrative medicine · 2026Article
- Charting intratumor heterogeneity from bench to bedside.Nature cancer · 2026Review
- Scalable phosphotyrosine enrichment with SH2 superbinder enables deep profiling of EGF responses.The EMBO journal · 2026Article
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- Exploration of the protein and pharmacological landscape of monkeypox virus treatment: from entry point to end point.Molecular diversity · 2026Review
- A pre-trained large generative model for translating single-cell transcriptomes to proteomes.Nature biomedical engineering · 2026Article
- Article
453 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
69 authors at 20 institutions in 2 countries.
Funding
Abstract
To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of 110 tumors and 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, and acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, and gender. Proteomic and phosphoproteomic data illuminated biology downstream of copy number aberrations, somatic mutations, and fusions and identified therapeutic vulnerabilities associated with driver events involving KRAS, EGFR, and ALK. Immune subtyping revealed a complex landscape, reinforced the association of STK11 with immune-cold behavior, and underscored a potential immunosuppressive role of neutrophil degranulation. Smoking-associated LUADs showed correlation with other environmental exposure signatures and a field effect in NATs. Matched NATs allowed identification of differentially expressed proteins with potential diagnostic and therapeutic utility. This proteogenomics dataset represents a unique public resource for researchers and clinicians seeking to better understand and treat lung adenocarcinomas.
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What OpenQuestion 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 OpenQuestion graph.