Evidence map›Paper›PMID 21490131›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2011

Accurate reconstruction of the temporal order of mutations in neoplastic progression.

Kathleen Sprouffske, John W Pepper, Carlo C Maley

Open access · bronzeAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2011. 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
2.5field-weighted citation impact, top 11% 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

42 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  4. Parsimonious Clone Tree Integration in cancer.Algorithms for molecular biology : AMB · 2022
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  7. Review
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  9. Article
  10. Review
  11. A population genetics perspective on the determinants of intra-tumor heterogeneity.Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
  12. Review
  13. Article
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  15. Review
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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

3 authors at 3 institutions in 1 country.

Kathleen SprouffskeGenomics and Computational Biology Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John W Pepper
Carlo C Maley
The Wistar Institute · USUniversity of Arizona · USUniversity of Pennsylvania · US

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
PHYLOGENIES of Barrett's Esophagus LineagesP01CA091955 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2002 to 2019
$35.9M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
MSM Scales of carcinogenesis: cells, crypts and cancerR01CA119224 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LUEBECK, GEORG E · 2005 to 2007
$799k
An Intra-Neoplasm Genetic Diversity AssayR03CA137811 · NCI · WISTAR INSTITUTE · PI MALEY, CARLO · 2008 to 2009
$163k
NCI NIH HHS P01 CA091955NCI NIH HHS P01 CA91955NCI NIH HHS P30 CA010815NCI NIH HHS R01 CA119224NCI NIH HHS R01 CA140657NCI NIH HHS R03 CA137811NHGRI NIH HHS T32 HG000046
6 · The paper itself

Abstract

The canonical route from normal tissue to cancer occurs through sequential acquisition of somatic mutations. Many studies have constructed a linear genetic model for tumorigenesis using the genetic alterations associated with samples at different stages of neoplastic progression from cross-sectional data. The common interpretation of these models is that they reflect the temporal order within any given tumor. Linear genetic methods implicitly neglect genetic heterogeneity within a neoplasm; each neoplasm is assumed to consist of one dominant clone. We modeled neoplastic progression of colorectal cancer using an agent-based model of a colon crypt and found clonal heterogeneity within our simulated neoplasms, as observed in vivo. Just 7.3% of cells within neoplasms acquired mutations in the same order as the linear model. In 41% of the simulated neoplasms, no cells acquired mutations in the same order as the linear model. We obtained similarly poor results when comparing the temporal order with oncogenetic tree models inferred from cross-sectional data. However, when we reconstructed the cell lineage of mutations within a neoplasm using several biopsies, we found that 99.7% cells within neoplasms acquired their mutations in an order consistent with the cell lineage mutational order. Thus, we find that using cross-sectional data to infer mutational order is misleading, whereas phylogenetic methods based on sampling intratumor heterogeneity accurately reconstructs the evolutionary history of tumors. In addition, we find evidence that disruption of differentiation is likely the first lesion in progression for most cancers and should be one of the few regularities of neoplastic progression across cancers.

Indexed as

Models, StatisticalCell DifferentiationCell LineageCell Transformation, NeoplasticClone CellsColorectal NeoplasmsCross-Sectional StudiesDisease ProgressionHumansMutationPhylogeny

Identifiers

PMID21490131
PMCPMC3131446
OpenAlexW2148819091

What OpenQuestion holds

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Read underepoch 390

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.