Evidence map›Paper›PMID 26308893›Full record

ArticleNature2015

A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity.

Bartlomiej Waclaw, Ivana Bozic, Meredith E Pittman, Ralph H Hruban, Bert Vogelstein, Martin A Nowak

Open access · greenAbstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers.

0numbers the graph read from it
0cells of the map it votes in
272citing papers in PubMed
55.0field-weighted citation impact, top 1% of its field
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

272 citing papers in PubMed, 518 citations in OpenAlex.

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  5. Therapeutic delivery of albumin-binding siRNA targeting IRS2 to diverse cell types reduces mammary tumor growth.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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212 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Bartlomiej WaclawSchool of Physics and Astronomy, University of Edinburgh, JCMB, Peter Guthrie Tait Road, Edinburgh EH9 3FD, UK.
Ivana BozicProgram for Evolutionary Dynamics, Harvard University, One Brattle Square, Cambridge, Massachusetts 02138, USA.
Meredith E PittmanThe Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, 401 North Broadway, Weinberg 2242, Baltimore, Maryland 21231, USA.
Ralph H HrubanThe Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, 401 North Broadway, Weinberg 2242, Baltimore, Maryland 21231, USA.
Bert VogelsteinThe Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, 401 North Broadway, Weinberg 2242, Baltimore, Maryland 21231, USA.
Martin A NowakProgram for Evolutionary Dynamics, Harvard University, One Brattle Square, Cambridge, Massachusetts 02138, USA.
Cancer Research Center · USHarvard University · USJohns Hopkins University · USUniversity of Edinburgh · GB

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI LENNON, ANNE MARIE · 1993 to 2022
$54.6M
MOLECULAR GENETIC ANALYSIS OF COLORECTAL CANCERR37CA043460 · NCI · JOHNS HOPKINS UNIVERSITY · PI VOGELSTEIN, BERT · 1997 to 2016
$7.4M
THE P53 GENE IN HUMAN NEOPLASIAR01CA043460 · NCI · JOHNS HOPKINS UNIVERSITY · PI VOGELSTEIN, BERT · 1986 to 1995
–
NCI NIH HHS CA43460NCI NIH HHS CA62924NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA062924NCI NIH HHS R37 CA043460
6 · The paper itself

Abstract

Most cancers in humans are large, measuring centimetres in diameter, and composed of many billions of cells. An equivalent mass of normal cells would be highly heterogeneous as a result of the mutations that occur during each cell division. What is remarkable about cancers is that virtually every neoplastic cell within a large tumour often contains the same core set of genetic alterations, with heterogeneity confined to mutations that emerge late during tumour growth. How such alterations expand within the spatially constrained three-dimensional architecture of a tumour, and come to dominate a large, pre-existing lesion, has been unclear. Here we describe a model for tumour evolution that shows how short-range dispersal and cell turnover can account for rapid cell mixing inside the tumour. We show that even a small selective advantage of a single cell within a large tumour allows the descendants of that cell to replace the precursor mass in a clinically relevant time frame. We also demonstrate that the same mechanisms can be responsible for the rapid onset of resistance to chemotherapy. Our model not only provides insights into spatial and temporal aspects of tumour growth, but also suggests that targeting short-range cellular migratory activity could have marked effects on tumour growth rates.

Indexed as

Cell MovementModels, BiologicalSelection, GeneticCell DivisionDrug Resistance, NeoplasmEvolution, MolecularGenetic VariationHumansMutationNeoplasmsTime Factors

Identifiers

PMID26308893
PMCPMC4782800
OpenAlexW2140080780

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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.