Evidence map›Paper›PMID 20537601›Full record

ArticleMolecular oncology2010

Tracing the tumor lineage.

Nicholas E Navin, James Hicks

Erratum issuedAbstract read
In one paragraph

Article in Molecular oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. A Darwinian Perspective on Tumor Evolution.International journal of biological sciences · 2026
    Review
  5. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
  6. Article
  7. Article
  8. Tracking of lineage massLab on a chip · 2024
    Article
  9. Potential Value of HSP90α in Prognosis of Triple-Negative Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Nicholas E NavinCold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA. navin@cshl.edu
James Hicks

Funding

GENOMICS OF HUMAN CANCERR01CA078544 · NCI · COLD SPRING HARBOR LABORATORY · PI WIGLER, MICHAEL H · 1998 to 2006
$4.4M
HIGH DENSITY GENE COPY NUMBER MICROARRAYSR33CA081674 · NCI · COLD SPRING HARBOR LABORATORY · PI WIGLER, MICHAEL H · 2000 to 2002
$2.4M
WILD TYPE RAS AND FARNESYL TRANSFERASE INHIBITORS IN BREAST CANCERP50CA068425 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI NORTON, LARRY · 1995 to 1999
–
NCI NIH HHS P50 CA068425NCI NIH HHS R01 CA078544NCI NIH HHS R33 CA081674
6 · The paper itself

Abstract

Defining the pathways through which tumors progress is critical to our understanding and treatment of cancer. We do not routinely sample patients at multiple time points during the progression of their disease, and thus our research is limited to inferring progression a posteriori from the examination of a single tumor sample. Despite this limitation, inferring progression is possible because the tumor genome contains a natural history of the mutations that occur during the formation of the tumor mass. There are two approaches to reconstructing a lineage of progression: (1) inter-tumor comparisons, and (2) intra-tumor comparisons. The inter-tumor approach consists of taking single samples from large collections of tumors and comparing the complexity of the genomes to identify early and late mutations. The intra-tumor approach involves taking multiple samples from individual heterogeneous tumors to compare divergent clones and reconstruct a phylogenetic lineage. Here we discuss how these approaches can be used to interpret the current models for tumor progression. We also compare data from primary and metastatic copy number profiles to shed light on the final steps of breast cancer progression. Finally, we discuss how recent technical advances in single cell genomics will herald a new era in understanding the fundamental basis of tumor heterogeneity and progression.

Indexed as

Breast NeoplasmsCell LineageCell Transformation, NeoplasticDisease ProgressionFemaleGene DosageGene Expression ProfilingGenomicsHumansNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPhenotypePhylogeny

Identifiers

PMID20537601
PMCPMC2904844

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.