ArticleCell2026
Mapping cellular targets of covalent cancer drugs in the entire mammalian body.
Article in Cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Integration of proteomic aging clocks in a phase 2a clinical trial supports simultaneous geroprotective assessment.Nature biotechnology · 2026Article
- Chemical Biology 2025: Highlights From the Ch/Bi145 Course at Caltech.Chembiochem : a European journal of chemical biology · 2026Review
- 2-Alkyl Furans Undergo Radiolytic Oxidative Protein Cross-Linking.Journal of the American Chemical Society · 2026Article
- vCATCH enables body-wide in vivo drug distribution mapping.Nature reviews. Cancer · 2026Article
Corrections and comments
- Update of
Authors and funding
19 authors.
Funding
Abstract
As our understanding of biological systems reaches single-cell and high spatial resolutions, it becomes imperative that pharmacological approaches match this precision to understand drug actions. This need is particularly urgent for the targeted covalent inhibitors that are currently re-entering the stage for cancer treatments. By leveraging the unique kinetics of click reactions, we developed volumetric clearing-assisted tissue click chemistry (vCATCH) to enable deep and homogeneous click labeling across the three-dimensional (3D) mammalian body. With simple and passive incubation steps, vCATCH offers cellular-resolution drug imaging in the entire adult mouse. We combined vCATCH with hydrogel-based reinforcement of three-dimensional imaging solvent-cleared organs (HYBRiD) imaging and virtual reality to visualize and quantify in vivo targets of two clinical cancer drugs, afatinib and ibrutinib, which recapitulated their known pharmacological distribution and revealed previously unreported tissue and cell-type engagement potentially linked to off-target effects. vCATCH provides a body-wide, unbiased platform to map covalent drug engagements at unprecedented scale and precision.
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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.