ReviewBiochimica et biophysica acta. Reviews on cancer2017
PhyloOncology: Understanding cancer through phylogenetic analysis.
Review in Biochimica et biophysica acta. Reviews on cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 41 citations in OpenAlex.
- Theoretical estimates on the expected number of mutations needed to reconstruct clonal lineage trees.Bioinformatics advances · 2026Article
- Metabolomics of Prostate Cancer and Clinical Profiles Following Radiotherapy: Need for a Precision Phylometabolomics Approach.Diagnostics (Basel, Switzerland) · 2025Article
- Evolutionary insights into Interleukin-12 family targets across 405 species.Frontiers in immunology · 2025Article
- Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data.Cancer pathogenesis and therapy · 2025Review
- Resolving tumor evolution: a phylogenetic approach.Journal of the National Cancer Center · 2024Review
- Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools.Journal of molecular evolution · 2023Review
- Biology and medicine in the landscape of quantum advantages.Journal of the Royal Society, Interface · 2022Review
- J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments.BMC bioinformatics · 2022Article
- PhyloMissForest: a random forest framework to construct phylogenetic trees with missing data.BMC genomics · 2022Article
- The Hallmarks of Cancer as Ecologically Driven Phenotypes.Frontiers in ecology and evolution · 2021Article
- PathFinder: Bayesian inference of clone migration histories in cancer.Bioinformatics (Oxford, England) · 2020Article
- Inferring Tumor Proliferative Organization from Phylogenetic Tree Measures in a Computational Model.Systematic biology · 2020Article
- Power and pitfalls of computational methods for inferring clone phylogenies and mutation orders from bulk sequencing data.Scientific reports · 2020Article
- Molecular Biology and Evolution of Cancer: From Discovery to Action.Molecular biology and evolution · 2020Article
- Article
- An Integrative Systems Biology and Experimental Approach Identifies Convergence of Epithelial Plasticity, Metabolism, and Autophagy to Promote Chemoresistance.Journal of clinical medicine · 2019Article
- Neutral Theory and the Somatic Evolution of Cancer.Molecular biology and evolution · 2018Article
- Analysis of mutation, selection, and epistasis: an informed approach to cancer clinical trials.Oncotarget · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 8 institutions in 1 country.
Funding
Abstract
Despite decades of research and an enormity of resultant data, cancer remains a significant public health problem. New tools and fresh perspectives are needed to obtain fundamental insights, to develop better prognostic and predictive tools, and to identify improved therapeutic interventions. With increasingly common genome-scale data, one suite of algorithms and concepts with potential to shed light on cancer biology is phylogenetics, a scientific discipline used in diverse fields. From grouping subsets of cancer samples to tracing subclonal evolution during cancer progression and metastasis, the use of phylogenetics is a powerful systems biology approach. Well-developed phylogenetic applications provide fast, robust approaches to analyze high-dimensional, heterogeneous cancer data sets. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby.
Indexed as
Identifiers
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.