ArticleNature communications2017
Proteogenomic integration reveals therapeutic targets in breast cancer xenografts.
Article in Nature communications, 2017. 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 110 papers.
What it found
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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.
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Who cites it
110 citing papers in PubMed.
- Molecular evaluation of residual disease following neoadjuvant chemotherapy in triple-negative breast cancer CALGB 40603 (Alliance).The Journal of clinical investigation · 2026Trial
- Proteomic Biomarker Discovery in Breast Cancer: Advances, Challenges, and Translational Prospects.Journal of biochemical and molecular toxicology · 2026Review
- Regulation of NAT1 activity in modern humans by a novel phosphorylation site.Science advances · 2026Article
- Multi-Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mutant p53 Directs PARP to Regulate Replication Stress and Drive Breast Cancer Metastasis.bioRxiv : the preprint server for biology · 2026Article
- Analysis of isobaric quantitative proteomic data using TMT-Integrator and FragPipe computational platform.Nature communications · 2026Article
- Enrichment of Phosphorylated and Glycosylated MHC Peptides for Mass Spectrometry-Based Neoantigen Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- SIMD: Synergistic integration mutualistic platform based on single-cell and proteotranscriptomics for drug repositioning.NPJ breast cancer · 2025Article
- Integrative Proteogenomics and Forward Genetics Reveal a Novel Mitotic Vulnerability in Triple-Negative Breast Cancer.Cancer discovery · 2025Article
- Integrative analysis of lung adenocarcinoma across diverse ethnicities and exposures.Cancer cell · 2025Article
- B7-H3 and CSPG4 co-targeting as Pan-CAR-T cell treatment of triple-negative breast cancer.Journal for immunotherapy of cancer · 2025Article
- Advancements in proteogenomics for preclinical targeted cancer therapy research.Biophysics reports · 2025Article
- New Insights into Colorectal Cancer through the Lens of Precision Oncology and Personalized Medicine: Multi-Omics Helps Aging of Predisposed People.Current aging science · 2025Review
- Master regulators governing protein abundance across ten human cancer types.bioRxiv : the preprint server for biology · 2024Article
- Uncovering therapeutic targets for macrophage-mediated T cell suppression and PD-L1 therapy sensitization.Cell reports. Medicine · 2024Article
- Personalizing non-small cell lung cancer treatment through patient-derived xenograft models: preclinical and clinical factors for consideration.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Death-associated protein kinase 3 modulates migration and invasion of triple-negative breast cancer cells.PNAS nexus · 2024Article
- A novel model based on protein post-translational modifications comprising the immune landscape and prediction of colorectal cancer prognosis.Journal of gastrointestinal oncology · 2024Article
- DSBSO-Based XL-MS Analysis of Breast Cancer PDX Tissues to Delineate Protein Interaction Network in Clinical Samples.Journal of proteome research · 2024Article
- Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models.Cancer research communications · 2024Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
45 authors.
Funding
Abstract
Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast cancer patient-derived xenograft (PDX) models. Integrated proteogenomic analysis shows positive correlation between expression measurements from transcriptomic and proteomic analyses; further, gene expression-based intrinsic subtypes are largely re-capitulated using non-stromal protein markers. Proteogenomic analysis also validates a number of predicted genomic targets in multiple receptor tyrosine kinases. However, several protein/phosphoprotein events such as overexpression of AKT proteins and ARAF, BRAF, HSP90AB1 phosphosites are not readily explainable by genomic analysis, suggesting that druggable translational and/or post-translational regulatory events may be uniquely diagnosed by MS. Drug treatment experiments targeting HER2 and components of the PI3K pathway supported proteogenomic response predictions in seven xenograft models. Our study demonstrates that MS-based proteomics can identify therapeutic targets and highlights the potential of PDX drug response evaluation to annotate MS-based pathway activities.
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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.