ArticleMolecular systems biology2020
The Cancer Dependency Map enables drug mechanism-of-action investigations.
Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed, 30 citations in OpenAlex.
- Gene dependency-informed inference of response to targeted cancer therapies.Nature communications · 2026Article
- An expanded role for single-cell chemical genomics profiling in drug discovery.The Biochemical journal · 2026Review
- Models of high-grade serous carcinoma of tubo-ovarian origin.Oncology reviews · 2026Review
- Flow cytometry-based targeted diagnostics for rapid assessment of daunorubicin resistance in acute myeloid leukemia.Scientific reports · 2025Article
- The present and future of the Cancer Dependency Map.Nature reviews. Cancer · 2025Review
- Article
- A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data.Genome biology · 2024Article
- Genome wide-scale CRISPR-Cas9 knockout screens identify a fitness score for optimized risk stratification in colorectal cancer.Journal of translational medicine · 2024Article
- HAPSTR1 localizes HUWE1 to the nucleus to limit stress signaling pathways.Cell reports · 2023Article
- lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs.Database : the journal of biological databases and curation · 2023Article
- Mutually exclusive genetic interactions and gene essentiality shape the genomic landscape of primary melanoma.The Journal of pathology · 2023Article
- A framework for fibrolamellar carcinoma research and clinical trials.Nature reviews. Gastroenterology & hepatology · 2022Review
- Loss of Claudin-4 Reduces DNA Damage Repair and Increases Sensitivity to PARP Inhibitors.Molecular cancer therapeutics · 2022Article
- Identification and Validation of a Proliferation-Associated Score Model Predicting Survival in Lung Adenocarcinomas.Disease markers · 2021Article
- The Cancer Dependency Map enables drug mechanism-of-action investigations.Molecular systems biology · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
How do small molecules exert their effects in mammalian cells? This seemingly simple question continues to represent one of the fundamental challenges of modern translational science and as such has long been the subject of intense scientific scrutiny. In their recent study, Garnett and colleagues (Gonçalves et al, 2020) demonstrate proof-of-concept for a new way to attack this problem systematically for Oncology drugs, by identifying correlated CRISPR- and drug-killing profiles in the Cancer Dependency Map dataset.
Indexed as
Identifiers
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.