ReviewGenome medicine2019
Mapping genetic interactions in cancer: a road to rational combination therapies.
Review in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
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
14 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Emerging Targeted and Multimodal Therapeutic Strategies in Breast Cancer: A Comprehensive Review.Breast cancer (Dove Medical Press) · 2026Review
- Application of nanomedicines in tumor immunotherapy.Journal of molecular cell biology · 2025Review
- Targeting super-enhancer activity for colorectal cancer therapy.American journal of translational research · 2024Review
- A global genetic interaction network by single-cell imaging and machine learning.Cell systems · 2023Article
- DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.Genome medicine · 2022Article
- Changes in gene-gene interactions associated with cancer onset and progression are largely independent of changes in gene expression.iScience · 2021Article
- A systematic analysis of genetic interactions and their underlying biology in childhood cancer.Communications biology · 2021Article
- Joint effects of genes underlying a temperature specialization tradeoff in yeast.PLoS genetics · 2021Article
- Revealing biomarkers associated with PARP inhibitors based on genetic interactions in cancer genome.Computational and structural biotechnology journal · 2021Article
- High dimensional model representation of log-likelihood ratio: binary classification with expression data.BMC bioinformatics · 2020Article
- IL-9 and IL-9-producing cells in tumor immunity.Cell communication and signaling : CCS · 2020Review
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
The discovery of synthetic lethal interactions between poly (ADP-ribose) polymerase (PARP) inhibitors and BRCA genes, which are involved in homologous recombination, led to the approval of PARP inhibition as a monotherapy for patients with BRCA1/2-mutated breast or ovarian cancer. Studies following the initial observation of synthetic lethality demonstrated that the reach of PARP inhibitors is well beyond just BRCA1/2 mutants. Insights into the mechanisms of action of anticancer drugs are fundamental for the development of targeted monotherapies or rational combination treatments that will synergize to promote cancer cell death and overcome mechanisms of resistance. The development of targeted therapeutic agents is premised on mapping the physical and functional dependencies of mutated genes in cancer. An important part of this effort is the systematic screening of genetic interactions in a variety of cancer types. Until recently, genetic-interaction screens have relied either on the pairwise perturbations of two genes or on the perturbation of genes of interest combined with inhibition by commonly used anticancer drugs. Here, we summarize recent advances in mapping genetic interactions using targeted, genome-wide, and high-throughput genetic screens, and we discuss the therapeutic insights obtained through such screens. We further focus on factors that should be considered in order to develop a robust analysis pipeline. Finally, we discuss the integration of functional interaction data with orthogonal methods and suggest that such approaches will increase the reach of genetic-interaction screens for the development of rational combination therapies.
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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.