Evidence map›Paper›PMID 28581503›Full record

ArticleNature genetics2017

Between-region genetic divergence reflects the mode and tempo of tumor evolution.

Ruping Sun, Zheng Hu, Andrea Sottoriva, Trevor A Graham, Arbel Harpak, Zhicheng Ma, Jared M Fischer, Darryl Shibata, Christina Curtis

Abstract readComparative Study
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Telomere Crisis Shapes Cancer Evolution.Cold Spring Harbor perspectives in biology · 2026
    Review
  7. Article
  8. Article
  9. IntegratingFrontiers in immunology · 2026
    Review
  10. Polyclonal origins of human premalignant colorectal lesions.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

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

9 authors.

Ruping SunDepartment of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID http://orcid.org/0000-0003-3702-9483
Zheng HuDepartment of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Andrea SottorivaCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Trevor A GrahamEvolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-9582-1597
Arbel HarpakDepartment of Biology, Stanford University, Stanford, California, USA.
Zhicheng MaDepartment of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Jared M FischerDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon, USA.
Darryl ShibataDepartment of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Christina CurtisDepartment of Medicine, Stanford University School of Medicine, Stanford, California, USA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Integrated genomic analysis and multi-scale modeling of therapeutic resistanceR01CA182514 · NCI · STANFORD UNIVERSITY · PI CURTIS, CHRISTINA N · 2014 to 2018
$2.4M
"Born to be Bad": Is Abnormal Cell Mobility Already Present At Initiation?R21CA185016 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHIBATA, DARRYL K · 2014 to 2015
$394k
Cancer and Stem Cell Dynamics in the IntestineK99CA181679 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI FISCHER, JARED MICHAEL · 2014 to 2015
$204k
Cancer Research UK 19771NCI NIH HHS K99 CA181679NCI NIH HHS P30 CA124435NCI NIH HHS R01 CA182514NCI NIH HHS R21 CA185016
6 · The paper itself

Abstract

Given the implications of tumor dynamics for precision medicine, there is a need to systematically characterize the mode of evolution across diverse solid tumor types. In particular, methods to infer the role of natural selection within established human tumors are lacking. By simulating spatial tumor growth under different evolutionary modes and examining patterns of between-region subclonal genetic divergence from multiregion sequencing (MRS) data, we demonstrate that it is feasible to distinguish tumors driven by strong positive subclonal selection from those evolving neutrally or under weak selection, as the latter fail to dramatically alter subclonal composition. We developed a classifier based on measures of between-region subclonal genetic divergence and projected patient data into model space, finding different modes of evolution both within and between solid tumor types. Our findings have broad implications for how human tumors progress, how they accumulate intratumoral heterogeneity, and ultimately how they may be more effectively treated.

Indexed as

Evolution, MolecularAdenocarcinomaAllelesAnimalsCell DivisionClone CellsCocarcinogenesisColorectal NeoplasmsComputer SimulationDisease ProgressionDNA, NeoplasmExomeGene FrequencyGenetic VariationHumansMaleDNA, Neoplasm

Identifiers

PMID28581503
PMCPMC5643198

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.