ArticleMolecular cell2016
A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.
Article in Molecular cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.
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Who cites it
91 citing papers in PubMed.
- Synthetic lethality in cancer: mechanism exploration and therapeutic applications.Cell communication and signaling : CCS · 2026Review
- Development of a Chemical Probe to Enable Characterization of the Casein Kinase 1γ Subfamily.Journal of medicinal chemistry · 2026Article
- Synthetic lethality in cancer drug discovery: challenges and opportunities.Nature reviews. Drug discovery · 2026Review
- Development of a chemical probe to enable characterization of the casein kinase 1γ subfamily.bioRxiv : the preprint server for biology · 2025Article
- Synthetic Lethal Combinations of DNA Repair Inhibitors and Genotoxic Agents to Target High-Risk Diffuse Large B Cell Lymphoma.Hematological oncology · 2025Article
- Synthetic Lethality as Emerging Treatment for Cancer: An Example by Using the Werner Syndrome Helicase (WRN) Inhibitors.ACS medicinal chemistry letters · 2025Article
- Article
- Cell Cycle-Based Molecular Features via Synthetic Lethality and Non-Coding RNA Interactions in Cancer.Genes · 2025Article
- Graph based recurrent network for context specific synthetic lethality prediction.Science China. Life sciences · 2025Article
- R-Based Protocols to Predict Synthetic Lethal Interactions in Cancers Using Machine Learning Tools.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Machine Learning Approaches for the Identification of Genetic Interactions.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Nuclear proteasomes buffer cytoplasmic proteins during autophagy compromise.Nature cell biology · 2024Article
- MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network.PLoS computational biology · 2024Article
- Predicting host-based, synthetic lethal antiviral targets from omics data.NAR molecular medicine · 2024Article
- Unleashing the Power of Synthetic Lethality: Augmenting Treatment Efficacy through Synergistic Integration with Chemotherapy Drugs.Pharmaceutics · 2023Review
- Predicting host-based, synthetic lethal antiviral targets from omics data.bioRxiv : the preprint server for biology · 2023Article
- A landscape of response to drug combinations in non-small cell lung cancer.Nature communications · 2023Article
- Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome.Med (New York, N.Y.) · 2023Article
- WRN suppresses p53/PUMA-induced apoptosis in colorectal cancer with microsatellite instability/mismatch repair deficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Inhibition of ALDH2 by disulfiram leads to synthetic lethality via ROS strikes twice inGenes & diseases · 2023Article
31 more citing papers are in PubMed but not listed here.
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20 authors.
Funding
Abstract
An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and genes encoding drug targets across multiple genotoxic environments. Guided by the strongest signal, we evaluate thousands of TSG-drug combinations in HeLa cells, resulting in networks of conserved synthetic lethal interactions. Analysis of these networks reveals that interaction stability across environments and shared gene function increase the likelihood of observing an interaction in human cancer cells. Using these rules, we prioritize ∼10(5) human TSG-drug combinations for future follow-up. We validate interactions based on cell and/or patient survival, including topoisomerases with RAD17 and checkpoint kinases with BLM.
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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.