ReviewNature reviews. Cancer2015
The dynamic control of signal transduction networks in cancer cells.
Review in Nature reviews. Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 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
167 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Prognostic Significance of Epidermal Growth Factor Receptor Amplification and Epidermal Growth Factor Receptor Variant III Mutation in Glioblastoma: A Systematic Review and Meta-Analysis with Implications for Targeted Therapy.International journal of molecular sciences · 2025Pooled it
- MACC1 Hyperactivates Receptor Tyrosine Kinase Signaling Through Phosphorylation-Dependent Adaptor Activity in Colorectal Cancer Cells.Biomolecules · 2026Article
- YME1L1 degradation by TRIM21 inhibits bladder cancer proliferation, metastasis, and mitochondrial function.Oncogene · 2026Article
- Article
- Development, anti-proliferative activity, multi-target kinase inhibition against CHK1, PIM1, and CDK-2, and computational insights of new thiazole-based hybrids.RSC advances · 2026Article
- Fusion oncoproteins orchestrate tumorigenesis and sustain malignant progression via a positive feedback mechanism.Cell & bioscience · 2026Review
- Reconstructing and comparing signal transduction networks from single-cell protein quantification data.Bioinformatics (Oxford, England) · 2026Article
- Advanced (Nano)material-Based Enrichment Strategies for Quantitative Phosphoproteomics Analysis by Mass Spectrometry.Advances in experimental medicine and biology · 2026Review
- Article
- Editorial: Dynamics and functional exploration of pharmacologically active proteins.Frontiers in chemistry · 2026Article
- Refining treatment strategies for non-small cell lung cancer lacking actionable mutations: insights from multi-omics studies.British journal of cancer · 2025Review
- The insulin signalling network.Nature metabolism · 2025Review
- PKIB facilitates bladder cancer proliferation and metastasis through mediation of HSP27 phosphorylation by PKA.Cell death & disease · 2025Article
- Actionable Forecasting as a Determinant of Biological Adaptation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Determining interaction directionality in complex biochemical networks from stationary measurements.Scientific reports · 2025Article
- MNK: A Novel Promising Target for Cancer Immunotherapy.Current medicinal chemistry · 2025Review
- Mapping Nanoscale-To-Single-Cell Phosphoproteomic Landscape by Chip-DIA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A temporal (phospho-)proteomic dataset of neurotrophic receptor tyrosine kinase signalling in neuroblastoma.Scientific data · 2024Article
- Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways.International journal of molecular sciences · 2024Review
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
107 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is often considered a genetic disease. However, much of the enormous plasticity of cancer cells to evolve different phenotypes, to adapt to challenging microenvironments and to withstand therapeutic assaults is encoded by the structure and spatiotemporal dynamics of signal transduction networks. In this Review, we discuss recent concepts concerning how the rich signalling dynamics afforded by these networks are regulated and how they impinge on cancer cell proliferation, survival, invasiveness and drug resistance. Understanding this dynamic circuitry by mathematical modelling could pave the way to new therapeutic approaches and personalized treatments.
Indexed as
Identifiers
26289315What 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.