ReviewNature reviews. Cancer2011
Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells.
Review in Nature reviews. Cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 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
96 citing papers in PubMed, 193 citations in OpenAlex.
- Review
- AI-Driven Variant Annotation for Precision Oncology in Breast Cancer.Clinical and translational science · 2025Article
- Insulin-like growth factor binding protein-6 modulates proliferative antagonism in response to progesterone in breast cancer.Frontiers in endocrinology · 2024Article
- PBX1: a TALE of two seasons-key roles during development and in cancer.Frontiers in cell and developmental biology · 2024Review
- Systems Biology Modeling of Cancer Nonlinear Dynamics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Review
- SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Targeting Cell Signalling Networks.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Mathematical Models of Death Signaling Networks.Entropy (Basel, Switzerland) · 2022Review
- LINC01605 promotes aerobic glycolysis through lactate dehydrogenase A in triple-negative breast cancer.Cancer science · 2022Article
- High dimensionality reduction by matrix factorization for systems pharmacology.Briefings in bioinformatics · 2022Article
- Review
- Therapeutic Approach of KRAS Mutant Tumours by the Combination of Pharmacologic Ascorbate and Chloroquine.Biomolecules · 2021Article
- A genome-scale CRISPR Cas9 dropout screen identifies synthetically lethal targets in SRC-3 inhibited cancer cells.Communications biology · 2021Article
- Dynamic Modeling of Transcriptional Gene Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2021Article
- A systems biology approach to discovering pathway signaling dysregulation in metastasis.Cancer metastasis reviews · 2020Review
- A unifying modelling formalism for the integration of stoichiometric and kinetic models.Journal of the Royal Society, Interface · 2020Article
- Fate decisions mediated by crosstalk of autophagy and apoptosis in mammalian cells.Journal of biological physics · 2020Article
- Racial Differences in the Association Between Luminal Master Regulator Gene Expression Levels and Breast Cancer Survival.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Article
- ERα36 as a Potential Therapeutic Target for Tamoxifen-Resistant Breast Cancer Cell Line Through EGFR/ERK Signaling Pathway.Cancer management and research · 2020Article
- Classification-Based Inference of Dynamical Models of Gene Regulatory Networks.G3 (Bethesda, Md.) · 2019Article
36 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
8 authors at 2 institutions in 1 country.
Funding
Abstract
Cancers of the breast and other tissues arise from aberrant decision-making by cells regarding their survival or death, proliferation or quiescence, damage repair or bypass. These decisions are made by molecular signalling networks that process information from outside and from within the breast cancer cell and initiate responses that determine the cell's survival and reproduction. Because the molecular logic of these circuits is difficult to comprehend by intuitive reasoning alone, we present some preliminary mathematical models of the basic decision circuits in breast cancer cells that may aid our understanding of their susceptibility or resistance to endocrine therapy.
Indexed as
Identifiers
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.