Back to search

Article

Epistasis in genomic and survival data of cancer patients

2017-04-24

Abstract excerpt

Cancer aggressiveness and its effect on patient survival depends on mutations in the tumor genome. Epistatic interactions between the mutated genes may guide the choice of anticancer therapy and set predictive factors of its success. Inhibitors targeting synthetic lethal partners of genes mutated in tumors are already utilized for efficient and specific treatment in the clinic. The space of possible epistatic inte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
18012368-01ef-5e2d-9a7f-38e0ad46ed7e
DOI
10.1101/130369
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Epistasis in genomic and survival data of cancer patientsDOI 10.1101/130369
Epistasis in genomic and survival data of cancer patients.Semantic proximity
Beyond synthetic lethality: charting the landscape of clinically relevant genetic interactions in cancerSemantic proximity
Beyond Synthetic Lethality: Charting the Landscape of Pairwise Gene Expression States Associated with Survival in CancerSemantic proximity
SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis.Semantic proximity
Mapping genetic interactions in cancer: a road to rational combination therapiesSemantic proximity
Synthetic lethal interactions for the development of cancer therapeutics: biological and methodological advancements.Semantic proximity
Genetic Mapping of All Human Paralog Pairs to Characterize Synthetic Lethality and BufferingSemantic proximity
Synthetic sickness or lethality points at candidate combination therapy targets in glioblastomaSemantic proximity
SLAYER: A Computational Framework for Identifying Synthetic Lethal Interactions through Integrated Analysis of Cancer DependenciesSemantic proximity
Epistatic interactions and drug response.Semantic proximity
Pan-Cancer Analysis of Potential Synthetic Lethal Drug Targets Specific to Alterations in DNA Damage ResponseSemantic proximity
Cancer type-dependent genetic interactions between cancer driver alterations indicate plasticity of epistasis across cell types.Semantic proximity
Select a neighboring publication to make it the new centre.