ReviewNature reviews. Genetics2019
Resolving genetic heterogeneity in cancer.
Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 384 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
384 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Modeling metastasis and predicting drug response with malignant effusion-derived organoids: a systematic review and quantitative assessment.Journal of translational medicine · 2026Pooled it
- Differences between mitotically old and young endometrial tumors.The Journal of pathology · 2026Article
- Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.Oncogene · 2026Article
- Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.MedScience · 2026Review
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- Navigating Antibody-Drug Conjugate Sequencing in Gastric Cancer: Cross-Resistance Biology, Target Switching, and Decision-Making Frameworks for the Post-Progression Landscape.Current oncology reports · 2026Review
- Review
- A model of cellular proliferation and mitochondrial biogenesis predicts prognosis and immunotherapy response in lung adenocarcinoma.Translational cancer research · 2026Article
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer.Molecular oncology · 2026Article
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- Gene mutant dosage is associated with prognosis and metastatic tropism in 60,000 clinical cancer samples.Nature genetics · 2026Article
- A medium throughput approach for single cell copy number variation sequencing towards efficient application in clinics.Journal of advanced research · 2026Article
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- The exosomal miRNA/FOXN3 axis empowers fibroblasts with tumor-promoting functions via enhanced migration and altered secretome.Journal of nanobiotechnology · 2026Article
- Convergence for Inactivation of TGFβ Signaling Is a Common Feature of Advanced Pancreatic Cancer.Cancer discovery · 2026Article
- Towards a unified model of aneuploid karyotype dynamics.PLoS genetics · 2026Article
- Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistance.Genome biology · 2026Article
- A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer.Cell reports methods · 2026Article
324 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
To a large extent, cancer conforms to evolutionary rules defined by the rates at which clones mutate, adapt and grow. Next-generation sequencing has provided a snapshot of the genetic landscape of most cancer types, and cancer genomics approaches are driving new insights into cancer evolutionary patterns in time and space. In contrast to species evolution, cancer is a particular case owing to the vast size of tumour cell populations, chromosomal instability and its potential for phenotypic plasticity. Nevertheless, an evolutionary framework is a powerful aid to understand cancer progression and therapy failure. Indeed, such a framework could be applied to predict individual tumour behaviour and support treatment strategies.
Indexed as
Identifiers
30918367What 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.