Evidence map›Paper›PMID 17688504›Full record

ArticleBiometrics2007

Statistical tests for clonality.

Colin B Begg, Kevin H Eng, Amanda J Hummer

Open access · greenAbstract read
In one paragraph

Article in Biometrics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Analysis of Shared Variants between Cancer Biospecimens.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  14. Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. Testing clonality of three and more tumors using their loss of heterozygosity profiles.Statistical applications in genetics and molecular biology · 2012
    Review
  16. Article
  17. Article
  18. Testing clonal relatedness of tumors using array comparative genomic hybridization: a statistical challenge.Clinical cancer research : an official journal of the American Association for Cancer Research · 2010
    Article
  19. Genomic and mutational profiling to assess clonal relationships between multiple non-small cell lung cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2009
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 E. 63rd Street, Room 303, New York, New York 10021, USA. beggc@mskcc.org
Kevin H Eng
Amanda J Hummer
Memorial Sloan Kettering Cancer Center · US

Funding

Interdisciplinary Training Program in Cardiovascular and Pulmonary BiostatisticsT32HL083806 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI RATHOUZ, PAUL JOSEPH · 2006 to 2015
$1.8M
Statistical Methods for Identifying Clonal TumorsR01CA124504 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2009 to 2011
$1.1M
Epidemiologic Parameters of Rare Cancer Risk FactorsR01CA098438 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI BEGG, COLIN B · 2003 to 2005
$839k
NCI NIH HHS CA098438NCI NIH HHS R01 CA098438NCI NIH HHS R01 CA124504NHLBI NIH HHS T32 HL083806
6 · The paper itself

Abstract

Cancer investigators frequently conduct studies to examine tumor samples from pairs of apparently independent primary tumors with a view to determine whether they share a "clonal" origin. The genetic fingerprints of the tumors are compared using a panel of markers, often representing loss of heterozygosity (LOH) at distinct genetic loci. In this article we evaluate candidate significance tests for this purpose. The relevant information is derived from the observed correlation of the tumors with respect to the occurrence of LOH at individual loci, a phenomenon that can be evaluated using Fisher's exact test. Information is also available from the extent to which losses at the same locus occur on the same parental allele. Data from these combined sources of information can be evaluated using a simple adaptation of Fisher's exact test. The test statistic is the total number of loci at which concordant mutations occur on the same parental allele, with higher values providing more evidence in favor of a clonal origin for the two tumors. The test is shown to have high power for detecting clonality for plausible models of the alternative (clonal) hypothesis, and for reasonable numbers of informative loci, preferably located on distinct chromosomal arms. The method is illustrated using studies to identify clonality in contralateral breast cancer. Interpretation of the results of these tests requires caution due to simplifying assumptions regarding the possible variability in mutation probabilities between loci, and possible imbalances in the mutation probabilities between parental alleles. Nonetheless, we conclude that the method represents a simple, powerful strategy for distinguishing independent tumors from those of clonal origin.

Indexed as

Loss of HeterozygosityBiometryBreast NeoplasmsFemaleHumansMutationNeoplasms, Second Primary

Identifiers

PMID17688504
PMCPMC2736112
OpenAlexW2098575259

What OpenQuestion holds

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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.