ReviewFrontiers in pharmacology2023
Genome-wide CRISPR/Cas9 screening for drug resistance in tumors.
Review in Frontiers in pharmacology, 2023. 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.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- A genome-wide CRISPR/Cas9 screen reveals novel positive regulators of FTY720 sensitivity in acute lymphoblastic leukemia cells.BMC research notes · 2026Article
- Exploring Novel E3 Ligases and Neosubstrates for Molecular Glue Degraders and Therapeutic Applications in Cancer.Oncology research · 2026Review
- Disrupting the TGF-β-regulated epithelial-mesenchymal transition, apoptotic and autophagic phenotypes of 3D glioblastoma spheroids via glycolytic inhibition.Exploration of targeted anti-tumor therapy · 2026Article
- Unraveling the FGFR-RNA splicing axis: Mechanisms, oncogenic crosstalks and innovations for therapeutic purpose.Acta pharmaceutica Sinica. B · 2026Review
- Targeting E2F8 sensitizes gemcitabine-resistant gallbladder cancer to PARP inhibitors by disrupting RRM2-driven DNA repair.Journal of experimental & clinical cancer research : CR · 2025Article
- Target Discovery in Head-and-Neck Squamous Cell Carcinoma: Genome-Wide CRISPR Screens Illuminate Therapeutic Resistance and Actionable Dependencies.Biomedicines · 2025Review
- Integrating CRISPR/Cas technology with clinical trials: Principles, progress and challenges.Asian journal of pharmaceutical sciences · 2025Review
- Methods and applications of in vivo CRISPR screening.Nature reviews. Genetics · 2025Review
- Genome-wide CRISPR/Cas9 screening identifies PTGR2 as a potential therapeutic target for sunitinib resistance in clear cell renal cell carcinoma.Scientific reports · 2025Article
- Multidrug Resistance: Are We Still Afraid of the Big Bad Wolf.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Loss of the aryl hydrocarbon receptor promotes cancer cell resistance to BRAFV600E targeted therapies.Signal transduction and targeted therapy · 2025Article
- Leveraging Circular Polymerization and Extension Cloning (CPEC) Method for Construction of CRISPR Screening Libraries.Bio-protocol · 2025Article
- Review
- Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated nuclease 9 (Cas9) screening is a simple screening method for locating loci under specific conditions, and it has been utilized in tumor drug resistance research for finding potential drug resistance-associated genes. This screening strategy has significant implications for further treatment of malignancies with acquired drug resistance. In recent years, studies involving genome-wide CRISPR/Cas9 screening have gradually increased. Here we review the recent application of genome-wide CRISPR/Cas9 screening for drug resistance, involving mitogen-activated protein kinase (MAPK) pathway inhibitors, poly (ADP-ribose) polymerase inhibitors (PARPi), alkylating agents, mitotic inhibitors, antimetabolites, immune checkpoint inhibitors (ICIs), and cyclin-dependent kinase inhibitors (CDKI). We summarize drug resistance pathways such as the KEAP1/Nrf2 pathway MAPK pathway, and NF-κB pathway. Also, we analyze the limitations and conditions for the application of genome-wide CRISPR/Cas9 screening techniques.
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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.