ArticleCell2016
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 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.
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Who cites it
141 citing papers in PubMed, 234 citations in OpenAlex.
- Citron kinase activity controls alternative splicing events that drive prostate cancer growth.Science advances · 2026Article
- The phosphoproteome of ovarian carcinoma delineates signaling signatures and potentially druggable targets across histotype stages.NPJ precision oncology · 2026Article
- Targeted proteomics for the detection of androgen receptor variants in preclinical models of castration-resistant prostate cancer.Clinical proteomics · 2026Article
- Network Pharmacology and Molecular Docking ofInternational journal of molecular sciences · 2026Article
- Proteome profiles of esophageal squamous cell carcinoma tie mitochondrial complex I to immunotherapy.EMBO molecular medicine · 2026Article
- Conserved Phosphoprotein Networks Identify Actionable Adhesion/Wnt and Metallothionein Modules in Cholangiocarcinoma.Medical sciences (Basel, Switzerland) · 2026Article
- Concordant RNA-protein evidence and human tissue metabolomics prioritize UPP1-associated nucleotide remodeling in prostate cancer.PloS one · 2026Article
- PatientProfiler: building patient-specific signaling models from proteogenomic data.Molecular systems biology · 2025Article
- Computational Approaches for Pathway-Centric Analysis of Protein Post-Translational Modifications.Proteomics · 2025Review
- Single-cell RNA profiling reveals an immunosuppressive microenvironment inTranslational lung cancer research · 2025Article
- Multi-layer stratified oncology platform utilizing transcriptomics, prostate cancer organoids, and modeling of drug response.Journal of experimental & clinical cancer research : CR · 2025Article
- Complex Assembly and Activity States as Multifaceted Protein Attributes Explaining Phenotypic Variability.bioRxiv : the preprint server for biology · 2025Article
- EZH2-TTP-mTORC1 Axis Drives Phenotypic Plasticity and Therapeutic Vulnerability in Lethal Prostate Cancer.bioRxiv : the preprint server for biology · 2025Article
- Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data.BMC bioinformatics · 2025Article
- Article
- The primate-specific Nedd4-1(NE) localizes to late endosomes in response to amino acids to suppress autophagy.Nature communications · 2025Article
- PhosNetVis: A web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network visualizations of phosphoproteomics data.Patterns (New York, N.Y.) · 2025Article
- No transcription, no problem: Protein phosphorylation changes and the transition from oocyte to embryo.Current topics in developmental biology · 2025Review
- Transcriptomic and proteomic signatures of host NK cells delineate distinct immune states across tuberculosis infection statuses.Frontiers in immunology · 2025Article
- Article
81 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
20 authors at 7 institutions in 1 country.
Funding
Abstract
We used clinical tissue from lethal metastatic castration-resistant prostate cancer (CRPC) patients obtained at rapid autopsy to evaluate diverse genomic, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed master transcriptional regulators, functionally mutated genes, and differentially activated kinases in CRPC tissues to synthesize a robust signaling network consisting of druggable kinase pathways. Using MSigDB hallmark gene sets, six major signaling pathways with phosphorylation of several key residues were significantly enriched in CRPC tumors after incorporation of phosphoproteomic data. Individual autopsy profiles developed using these hallmarks revealed clinically relevant pathway information potentially suitable for patient stratification and targeted therapies in late stage prostate cancer. Here, we describe phosphorylation-based cancer hallmarks using integrated personalized signatures (pCHIPS) that shed light on the diversity of activated signaling pathways in metastatic CRPC while providing an integrative, pathway-based reference for drug prioritization in individual patients.
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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.