Evidence map›Paper›PMID 20205270›Full record

ArticleStatistics in medicine2010

A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data.

Irina Ostrovnaya, Adam B Olshen, Venkatraman E Seshan, Irene Orlow, Donna G Albertson, Colin B Begg

Abstract read
In one paragraph

Article in Statistics in medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  13. Two types of primary mucinous ovarian tumors can be distinguished based on their origin.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
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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

6 authors.

Irina OstrovnayaMemorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.
Adam B Olshen
Venkatraman E Seshan
Irene Orlow
Donna G Albertson
Colin B Begg

Funding

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
Mutational Analysis of Clonality in Multiple Primary MelanomaR03CA125829 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ORLOW, IRENE · 2006 to 2007
$128k
NCI NIH HHS CA098438NCI NIH HHS CA124504NCI NIH HHS CA125829NCI NIH HHS R01 CA098438NCI NIH HHS R01 CA124504NCI NIH HHS R03 CA125829
6 · The paper itself

Abstract

When a cancer patient develops a new tumor it is necessary to determine if it is a recurrence (metastasis) of the original cancer, or an entirely new occurrence of the disease. This is accomplished by assessing the histo-pathology of the lesions. However, there are many clinical scenarios in which this pathological diagnosis is difficult. Since each tumor is characterized by a distinct pattern of somatic mutations, a more definitive diagnosis is possible in principle in these difficult clinical scenarios by comparing the two patterns. In this article we develop and evaluate a statistical strategy for this comparison when the data are derived from array copy number data, designed to identify all of the somatic allelic gains and losses across the genome. First a segmentation algorithm is used to estimate the regions of allelic gain and loss. The correlation in these patterns between the two tumors is assessed, and this is complemented with more precise quantitative comparisons of each plausibly clonal mutation within individual chromosome arms. The results are combined to determine a likelihood ratio to distinguish clonal tumor pairs (metastases) from independent second primaries. Our data analyses show that in many cases a strong clonal signal emerges. Sensitivity analyses show that most of the diagnoses are robust when the data are of high quality.

Indexed as

Oligonucleotide Array Sequence AnalysisAlgorithmsBiostatisticsBreast NeoplasmsCarcinoma, LobularClone CellsComputer SimulationData Interpretation, StatisticalDiagnosis, DifferentialFemaleGene DosageHead and Neck NeoplasmsHumansLikelihood FunctionsMouth NeoplasmsMutation

Identifiers

PMID20205270
PMCPMC3145177

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.