ArticleNature communications2026
Gene dependency-informed inference of response to targeted cancer therapies.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- HuRInterDB: A Database Exploring the Landscape of lncRNA-Protein Interactions.Computational and structural biotechnology journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Targeted therapies such as small-molecule inhibitors act by blocking proteins essential for cancer cell survival, yet omics-based modeling of drug sensitivity often lacks mechanistic grounding. We present FORGE (Factorization Of Response and Gene Essentiality), a joint matrix factorization framework that co-models drug response and target gene dependency to enable biologically informed stratification of treatment groups. FORGE derives a Benefit Score from basal gene expression to estimate therapeutic potential. In unseen cell lines treated with erlotinib, FORGE achieves high concordance for dependency (0.69) and IC
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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.