Evidence map›Paper›PMID 25687908›Full record

ReviewNature reviews. Clinical oncology2015

Can oncology recapitulate paleontology? Lessons from species extinctions.

Viola Walther, Crispin T Hiley, Darryl Shibata, Charles Swanton, Paul E Turner, Carlo C Maley

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Integrating evolutionary dynamics into cancer therapy.Nature reviews. Clinical oncology · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Tumor evolution: Linear, branching, neutral or punctuated?Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
  15. Spatial Heterogeneity in the Tumor Microenvironment.Cold Spring Harbor perspectives in medicine · 2016
    Review
  16. Article
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Viola WaltherEvolution and Cancer Laboratory, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Crispin T HileyTranslational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
Darryl ShibataDepartment of Pathology, USC Keck School of Medicine, Hoffman Medical Research Center 211, 2011 Zonal Avenue, Los Angeles, CA 90089-9092, USA.
Charles SwantonTranslational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
Paul E TurnerDepartment of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06511, USA.
Carlo C MaleyCenter for Evolution and Cancer, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 2340 Sutter Street, San Francisco, CA 94143, USA.

Funding

PHYLOGENIES of Barrett's Esophagus LineagesP01CA091955 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2002 to 2019
$35.9M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
Stem Cells, Differentiation and Therapeutic Resistance in AMLR01CA149566 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CARROLL, MARTIN · 2011 to 2015
$3.0M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
Evolution of Virus-Host InteractionsR01AI091646 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2011 to 2015
$2.0M
Cancer Research UK 17786Cancer Research UK 19310NCI NIH HHS P01 CA091955NCI NIH HHS P01 CA91955NCI NIH HHS R01 CA140657NCI NIH HHS R01 CA149566NCI NIH HHS R01 CA170595NIAID NIH HHS R01 AI091646NIAID NIH HHS R01-AI091646
6 · The paper itself

Abstract

Although we can treat cancers with cytotoxic chemotherapies, target them with molecules that inhibit oncogenic drivers, and induce substantial cell death with radiation, local and metastatic tumours recur, resulting in extensive morbidity and mortality. Indeed, driving a tumour to extinction is difficult. Geographically dispersed species of organisms are perhaps equally resistant to extinction, but >99.9% of species that have ever existed on this planet have become extinct. By contrast, we are nowhere near that level of success in cancer therapy. The phenomena are broadly analogous--in both cases, a genetically diverse population mutates and evolves through natural selection. The goal of cancer therapy is to cause cancer cell population extinction, or at least to limit any further increase in population size, to prevent the tumour burden from overwhelming the patient. However, despite available treatments, complete responses are rare, and partial responses are limited in duration. Many patients eventually relapse with tumours that evolve from cells that survive therapy. Similarly, species are remarkably resilient to environmental change. Paleontology can show us the conditions that lead to extinction and the characteristics of species that make them resistant to extinction. These lessons could be translated to improve cancer therapy and prognosis.

Indexed as

Extinction, BiologicalHumansMolecular Targeted TherapyNeoplasmsPaleontologyPrognosisTranslational Research, BiomedicalTumor Microenvironment

Identifiers

PMID25687908
PMCPMC4569005

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Registered trials

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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.