ReviewBiochimica et biophysica acta. Reviews on cancer2017
Catch my drift? Making sense of genomic intra-tumour heterogeneity.
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 20 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
20 citing papers in PubMed.
- Advances in Colorectal Cancer Cell Biology and Clonal Evolution.International journal of molecular sciences · 2026Review
- The Converging Roles of Nucleases and Helicases in Genome Maintenance and the Aging Process.Life (Basel, Switzerland) · 2025Review
- Advances in tumor subclone formation and mechanisms of growth and invasion.Journal of translational medicine · 2025Review
- The evolutionary theory of cancer: challenges and potential solutions.Nature reviews. Cancer · 2024Review
- Cetuximab chemotherapy resistance: Insight into the homeostatic evolution of head and neck cancer (Review).Oncology reports · 2024Review
- Time-resolved, integrated analysis of clonally evolving genomes.PLoS genetics · 2023Article
- Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023Article
- Tumour Genetic Heterogeneity in Relation to Oral Squamous Cell Carcinoma and Anti-Cancer Treatment.International journal of environmental research and public health · 2023Review
- Intracellular and extracellular factors of colorectal cancer liver metastasis: a pivotal perplex to be fully elucidated.Cancer cell international · 2022Review
- Longitudinal Monitoring of Intra-Tumoural Heterogeneity Using Optical Barcoding of Patient-Derived Colorectal Tumour Models.Cancers · 2022Article
- Tumor heterogeneity reshapes the tumor microenvironment to influence drug resistance.International journal of biological sciences · 2022Review
- Clonal Evolution of Multiple Myeloma-Clinical and Diagnostic Implications.Diagnostics (Basel, Switzerland) · 2021Review
- Genetic Alterations of Metastatic Colorectal Cancer.Biomedicines · 2020Review
- Intratumor heterogeneity: A new perspective on colorectal cancer research.Cancer medicine · 2020Review
- Tumour heterogeneity and the evolutionary trade-offs of cancer.Nature reviews. Cancer · 2020Review
- The Intratumoral Heterogeneity Reflects the Intertumoral Subtypes of Glioblastoma Multiforme: A Regional Immunohistochemistry Analysis.Frontiers in oncology · 2020Article
- An analysis of genetic heterogeneity in untreated cancers.Nature reviews. Cancer · 2019Review
- Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data.PloS one · 2019Article
- Big Bang Tumor Growth and Clonal Evolution.Cold Spring Harbor perspectives in medicine · 2018Review
- Colorectal cancer: genetic abnormalities, tumor progression, tumor heterogeneity, clonal evolution and tumor-initiating cells.Medical sciences (Basel, Switzerland) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The cancer genome is shaped by three components of the evolutionary process: mutation, selection and drift. While many studies have focused on the first two components, the role of drift in cancer evolution has received little attention. Drift occurs when all individuals in the population have the same likelihood of producing surviving offspring, and so by definition a drifting population is one that is evolving neutrally. Here we focus on how neutral evolution is manifested in the cancer genome. We discuss how neutral passenger mutations provide a magnifying glass that reveals the evolutionary dynamics underpinning cancer development, and outline how statistical inference can be used to quantify these dynamics from sequencing data. We argue that only after we understand the impact of neutral drift on the genome can we begin to make full sense of clonal selection. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer? Edited by Dr. Robert A. Gatenby.
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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.