ReviewNature cancer2020
Delineating the evolutionary dynamics of cancer from theory to reality.
Review in Nature cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.Oncogene · 2026Article
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- Joint representation learning for oncology applications.Bioinformatics (Oxford, England) · 2026Article
- Comparison of Gastric Cancer Models Using Different Dimensions In Vitro.Cancer reports (Hoboken, N.J.) · 2025Article
- Within- and between-host evolutionary effects on viral oncogenicity.Virus evolution · 2025Article
- Tumor-associated neutrophils in breast cancer: an angel or a devil?Frontiers in immunology · 2025Review
- Multistage carcinogenesis in occupational cholangiocarcinoma: the impact of clonal expansion and risk estimation.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024Article
- Age at Tumor Diagnosis in 14,636 Canine Cases from the Pathology-Based UNIPI Animal Cancer Registry, Italy: One Size Doesn't Fit All.Veterinary sciences · 2024Article
- Role of liquid-liquid phase separation in cancer: Mechanisms and therapeutic implications.Cancer innovation · 2024Review
- Realizing the promise of Project Optimus: Challenges and emerging opportunities for dose optimization in oncology drug development.CPT: pharmacometrics & systems pharmacology · 2024Review
- Tumor phylogeography reveals block-shaped spatial heterogeneity and the mode of evolution in Hepatocellular Carcinoma.Nature communications · 2024Article
- GraphPath: a graph attention model for molecular stratification with interpretability based on the pathway-pathway interaction network.Bioinformatics (Oxford, England) · 2024Article
- Prognostic analysis of mutated genes and insight into effects of DNA damage and repair on mutational strand asymmetries in gastric cancer.Biochemistry and biophysics reports · 2024Article
- Nomograms Predict PFS and OS for SCLC Patients After Standardized Treatment: A Real-World Study.International journal of general medicine · 2024Article
- Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics.Nature communications · 2023Article
- Immunobiology of cancer stem cells and their immunoevasion mechanisms.Molecular biology reports · 2023Review
- Stochastic model for cell population dynamics quantifies homeostasis in colonic crypts and its disruption in early tumorigenesis.Proceedings. Biological sciences · 2023Article
- Sequential mutations in exponentially growing populations.PLoS computational biology · 2023Article
- Neuroblastoma arises in early fetal development and its evolutionary duration predicts outcome.Nature genetics · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Uncovering and quantifying the laws of the evolutionary dynamics of cancer, in particular in the context of specific genetic lesions and in individual patients, has the potential to revolutionize precision oncology. Recent technological advances in the study of human cancer have increased access to in vivo human data and have thereby facilitated the confirmation or refutation of existing theoretical models. In this Perspective, we discuss recent work at the intersection of quantitative mathematical models of cancer evolution and patient data that provides insights into different stages of tumor evolution, including premalignant and malignant progression and response to therapy.
Indexed as
Identifiers
35121980What 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.