ArticleNature communications2014
A pan-cancer proteomic perspective on The Cancer Genome Atlas.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 398 papers, 1 of them a synthesis that pooled it.
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
398 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Visualization and Analysis in the Field of Pan-Cancer Studies and Its Application in Breast Cancer Treatment.Frontiers in medicine · 2021Pooled it
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- Spatially resolved proteomics provides insights into the normal-dysplasia-tumor continuum in oral squamous cell carcinoma.BMC oral health · 2026Article
- Thousand-And-One Kinase 3 in Pancreatic Ductal Adenocarcinoma Stemness, Microenvironment and Therapy Resistance.International journal of molecular sciences · 2026Review
- Extrapolation of Time-to-Event Survival Outcomes of Histology-Independent Therapies Using a Bayesian Hierarchical Model.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Personalized targeting of BCL2 family proteins overcomes acquired resistance to BRAF-MEK inhibitors in preclinical melanoma.Nature communications · 2026Article
- Metabolic pathway signatures define prognostic subtypes of lung adenocarcinoma.Discover oncology · 2026Article
- Melanoma-patient-derived xenograft multi-omics resource melPDomiX maps gain- and loss-of-function alterations.Cell reports · 2026Article
- The expression landscape and clinical significance of cancer-specific RNA transcripts across human cancers.Journal of translational medicine · 2026Article
- Evaluating agentic AI for biological discovery in autonomous and copilot settings.bioRxiv : the preprint server for biology · 2026Article
- B.R.E.A.S.T. Breast canceR Enhanced AI-Supported Therapy: A New Interpretable Proteomics-Driven Machine Learning Framework for Therapy Response Prediction in Breast Cancer.International journal of molecular sciences · 2026Article
- Proteogenomic features define subtypes of mantle cell lymphoma.Blood advances · 2026Article
- Dietary Fat Content Influences PanIN Progression and Pancreatic Cancer Development in Mice.Cancer research communications · 2026Article
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- A longitudinal, multi-omic atlas reveals the emergence of a spatially organized immunosuppressive ecosystem in resistant melanoma.Cell reports. Medicine · 2026Article
338 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
29 authors.
Funding
Abstract
Protein levels and function are poorly predicted by genomic and transcriptomic analysis of patient tumours. Therefore, direct study of the functional proteome has the potential to provide a wealth of information that complements and extends genomic, epigenomic and transcriptomic analysis in The Cancer Genome Atlas (TCGA) projects. Here we use reverse-phase protein arrays to analyse 3,467 patient samples from 11 TCGA 'Pan-Cancer' diseases, using 181 high-quality antibodies that target 128 total proteins and 53 post-translationally modified proteins. The resultant proteomic data are integrated with genomic and transcriptomic analyses of the same samples to identify commonalities, differences, emergent pathways and network biology within and across tumour lineages. In addition, tissue-specific signals are reduced computationally to enhance biomarker and target discovery spanning multiple tumour lineages. This integrative analysis, with an emphasis on pathways and potentially actionable proteins, provides a framework for determining the prognostic, predictive and therapeutic relevance of the functional proteome.
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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.