ReviewNature reviews. Genetics2023
Spatial biology of cancer evolution.
Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 1 of them a synthesis that pooled it.
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
145 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- Spatial chromatin architecture and accessibility co-profiling of mammalian tissues.Nature methods · 2026Article
- Unraveling the tapestry: Lessons from multi-omics and spatial biology in hepatocellular cancer.Hepatology (Baltimore, Md.) · 2026Review
- Single-cell and spatial RNA sequencing in prostate cancer.Nature reviews. Urology · 2026Review
- Clinical metastatic cancer from initiation to colonization: emerging challenges and breakthroughs.Oncogene · 2026Review
- A microbial therapy-mimicry assay shows how spatial resource dynamics control resistance escape.Nature ecology & evolution · 2026Article
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- Benchmarking copy number alteration inference methods for spatial transcriptomics.Nature communications · 2026Article
- Imaging the hallmarks of cancer.Nature reviews. Cancer · 2026Review
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- Article
- The Dynamic Alliance of p53 and Metabolism in the Tumor Microenvironment Shapes Tumor Evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Integrated multi-omics and single-cell analyses identify metabolic heterogeneity and therapeutic vulnerabilities in medullary thyroid cancer.British journal of cancer · 2026Article
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- Spotlight on challenges and novel methods in highly multiplexed tissue imaging-based spatial proteomics.Journal of translational medicine · 2026Review
- STGBench: sequencing-level spatial DNA-RNA simulation for multimodal and virtual cell-oriented benchmarking of genomic alterations.Briefings in bioinformatics · 2026Article
- Geospatial genetic evolution and phenotypic plasticity in triple-negative breast cancer.Genome medicine · 2026Article
- Review
- When effective anticancer therapies are, in fact, destabilizing the tumor's Group Phenotypic Composition.NPJ precision oncology · 2026Review
- SOFisher: reinforcement learning-guided experiment designs for spatial omics.Nature communications · 2026Article
85 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The natural history of cancers can be understood through the lens of evolution given that the driving forces of cancer development are mutation and selection of fitter clones. Cancer growth and progression are spatial processes that involve the breakdown of normal tissue organization, invasion and metastasis. For these reasons, spatial patterns are an integral part of histological tumour grading and staging as they measure the progression from normal to malignant disease. Furthermore, tumour cells are part of an ecosystem of tumour cells and their surrounding tumour microenvironment. A range of new spatial genomic, transcriptomic and proteomic technologies offers new avenues for the study of cancer evolution with great molecular and spatial detail. These methods enable precise characterizations of the tumour microenvironment, cellular interactions therein and micro-anatomical structures. In conjunction with spatial genomics, it emerges that tumours and microenvironments co-evolve, which helps explain observable patterns of heterogeneity and offers new routes for therapeutic interventions.
Indexed as
Identifiers
36494509What 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.