ReviewNature cancer2026
Single-cell and spatial profiling in cancer biology and clinical oncology.
Review in Nature cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Unveiling the role of spatial transcriptomics in the analysis of the tumor immune microenvironment (Review).International journal of molecular medicine · 2026Review
- Polymeric and Chelate Gel Precursors for Transition Metal Oxide and Silicon-Based Anodes in Lithium-Ion Batteries.Gels (Basel, Switzerland) · 2026Review
- Benign Uroandrological Ecosystem: A Thorough Overview from Single-Cell and Spatial Transcriptomics.Research (Washington, D.C.) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple single-cell and spatial genomics tools have transformed our ability to deconvolve intricate diseases, including cancer. Analysis of complex, multimodal data has provided insights into genomics, cellular states and interactions in tumor ecosystems, enabling the dissection of salient biology and expanding our understanding of drug response, resistance and target discovery. However, several challenges remain before these methods can achieve their full clinical potential. Here, we discuss opportunities, barriers and potential solutions, including sample acquisition and preservation approaches, profiling methods and analytical tools for heterogeneous populations, and we provide recommendations for robust, reproducible use of these technologies in clinical settings.
Indexed as
Identifiers
41933186What 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.