Evidence map›Paper›PMID 28148564›Full record

ReviewCold Spring Harbor perspectives in medicine2017

Natural Selection in Cancer Biology: From Molecular Snowflakes to Trait Hallmarks.

Angelo Fortunato, Amy Boddy, Diego Mallo, Athena Aktipis, Carlo C Maley, John W Pepper

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Epitranscriptomic sculpting: the role of mMedical oncology (Northwood, London, England) · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  14. Review
  15. Article
  16. Editorial: Cancer evolution.Frontiers in genetics · 2023
    Article
  17. Review
  18. Review
  19. Article
  20. Article
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.

Angelo FortunatoBiodesign Center for Personalized Diagnostics, and School of Life Sciences, Arizona State University, Tempe, Arizona 85287.
Amy BoddyDepartment of Psychology, Arizona State University, Tempe, Arizona 85287.
Diego MalloBiodesign Center for Personalized Diagnostics, and School of Life Sciences, Arizona State University, Tempe, Arizona 85287.
Athena AktipisDepartment of Psychology, Arizona State University, Tempe, Arizona 85287.
Carlo C MaleyBiodesign Center for Personalized Diagnostics, and School of Life Sciences, Arizona State University, Tempe, Arizona 85287.
John W PepperBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland 20850.

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
(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCISR01CA185138 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY, MALEY, CARLO · 2014 to 2017
$2.0M
NCI NIH HHS P01 CA091955NCI NIH HHS R01 CA140657NCI NIH HHS R01 CA149566NCI NIH HHS R01 CA170595NCI NIH HHS R01 CA185138
6 · The paper itself

Abstract

Evolution by natural selection is the conceptual foundation for nearly every branch of biology and increasingly also for biomedicine and medical research. In cancer biology, evolution explains how populations of cells in tumors change over time. It is a fundamental question whether this evolutionary process is driven primarily by natural selection and adaptation or by other evolutionary processes such as founder effects and drift. In cancer biology, as in organismal evolutionary biology, there is controversy about this question and also about the use of adaptation through natural selection as a guiding framework for research. In this review, we discuss the differences and similarities between evolution among somatic cells versus evolution among organisms. We review what is known about the parameters and rate of evolution in neoplasms, as well as evidence for adaptation. We conclude that adaptation is a useful framework that accurately explains the defining characteristics of cancer. Further, convergent evolution through natural selection provides the only satisfying explanation both for how a group of diverse pathologies have enough in common to usefully share the descriptive label of "cancer" and for why this convergent condition becomes life-threatening.

Indexed as

Adaptation, PhysiologicalSelection, GeneticHumansMutationNeoplasmsPhenotype

Identifiers

PMID28148564
PMCPMC5287060

What OpenQuestion holds

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Registered trials

None linked

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.