ArticleGenome medicine2020
Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns.
Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer.Molecular oncology · 2025Article
- Modelling Cancer in Drosophila: Exploration to Personalised Medicine.Advances in experimental medicine and biology · 2025Review
- Identification of a novel immune-related gene signature by single-cell and bulk sequencing for the prediction of the immune landscape and prognosis of breast cancer.Cancer cell international · 2024Article
- Co-occurring Mutations in Different Genes Can Fuel Oncogenic Signaling and Serve as Metastatic Tumor Markers.bioRxiv : the preprint server for biology · 2024Article
- Computational Characterization of Membrane Proteins as Anticancer Targets: Current Challenges and Opportunities.International journal of molecular sciences · 2024Review
- Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation.Molecular cancer research : MCR · 2024Article
- Basket Trials: Review of Current Practice and Innovations for Future Trials.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022Review
- Prostate Cancer Review: Genetics, Diagnosis, Treatment Options, and Alternative Approaches.Molecules (Basel, Switzerland) · 2022Review
- Anticancer drug resistance: An update and perspective.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2021Review
- SAUTE: sequence assembly using target enrichment.BMC bioinformatics · 2021Article
- Patient-Specific Network for Personalized Breast Cancer Therapy with Multi-Omics Data.Entropy (Basel, Switzerland) · 2021Article
- Bioinformatic analysis linking genomic defects to chemosensitivity and mechanism of action.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Identification of actionable genomic vulnerabilities is key to precision oncology. Utilizing a large-scale drug screening in patient-derived xenografts, we uncover driver gene alteration connections, derive driver co-occurrence (DCO) networks, and relate these to drug sensitivity. Our collection of 53 drug-response predictors attains an average balanced accuracy of 58% in a cross-validation setting, rising to 66% for a subset of high-confidence predictions. We experimentally validated 12 out of 14 predictions in mice and adapted our strategy to obtain drug-response models from patients' progression-free survival data. Our strategy reveals links between oncogenic alterations, increasing the clinical impact of genomic profiling.
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.