ArticleSmall GTPases2021
Analysis of Ras-effector interaction competition in large intestine and colorectal cancer context.
Article in Small GTPases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- "Undruggable KRAS": druggable after all.Genes & development · 2025Review
- KRAS-Driven Tumorigenesis and KRAS-Driven Therapy in Pancreatic Adenocarcinoma.Molecular cancer therapeutics · 2024Review
- The Legionella pneumophila effector DenR hijacks the host NRas proto-oncoprotein to downregulate MAPK signaling.Cell reports · 2024Article
- Analysis of context-specific KRAS-effector (sub)complexes in Caco-2 cells.Life science alliance · 2023Article
- Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents.BMC medical genomics · 2023Article
- Reconstruction and analysis of a large-scale binary Ras-effector signaling network.Cell communication and signaling : CCS · 2022Article
- Review
- Signaling pathways in intestinal homeostasis and colorectal cancer: KRAS at centre stage.Cell communication and signaling : CCS · 2021Review
- Predicted 'wiring landscape' of Ras-effector interactions in 29 human tissues.NPJ systems biology and applications · 2021Article
- The Ins and Outs of RAS Effector Complexes.Biomolecules · 2021Review
- PI3K Driver Mutations: A Biophysical Membrane-Centric Perspective.Cancer research · 2021Review
- Aloperine Exerts Antitumor Effects on Bladder Cancer in vitro.OncoTargets and therapy · 2020Article
- A comprehensive analysis of RAS-effector interactions reveals interaction hotspots and new binding partners.The Journal of biological chemistryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is the second leading cause of death globally, and colorectal cancer (CRC) is among the five most common cancers. The small GTPase KRAS is an oncogene that is mutated in ~30% of all CRCs. Pharmacological treatments of CRC are currently unsatisfactory, but much hope rests on network-centric approaches to drug development and cancer treatment. These approaches, however, require a better understanding of how networks downstream of Ras oncoproteins are connected in a particular tissue context - here colon and CRC. Previously we have shown that competition for binding to a 'hub' protein, such as Ras, can induce a rewiring of signal transduction networks. In this study, we analysed 56 established and predicted effectors that contain a structural domain with the potential ability to bind to Ras oncoproteins and their link to pathways coordinating intestinal homoeostasis and barrier function. Using protein concentrations in colon tissue and Ras-effector binding affinities, a computational network model was generated that predicted how effectors differentially and competitively bind to Ras in colon context. The model also predicted both qualitative and quantitative changes in Ras-effector complex formations with increased levels of active Ras - to simulate its upregulation in cancer - simply as an emergent property of competition for the same binding interface on the surface of Ras. We also considered how the number of Ras-effector complexes at the membrane can be increased by additional domains present in some effectors that are recruited to the membrane in response to specific conditions (inputs/stimuli/growth factors) in colon context and CRC.
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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.