Evidence map›Paper›PMID 32135575›Full record

ArticleBiometrics2021

Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data.

Irina Ostrovnaya, Audrey Mauguen, Venkatraman E Seshan, Colin B Begg

Abstract read
In one paragraph

Article in Biometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Irina OstrovnayaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1783-0070
Audrey MauguenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3236-6093
Venkatraman E SeshanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Harnessing Rare Variants for Tumor ClassificationR01CA251339 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B, SHEN, RONGLAI · 2021 to 2023
$1.2M
Statistical Methods for Identifying Clonal TumorsR01CA124504 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2009 to 2011
$1.1M
National Cancer Institutes CA008748National Cancer Institutes CA124504NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA124504NCI NIH HHS R01 CA251339
6 · The paper itself

Abstract

A common task for the cancer pathologist is to determine, in a patient suffering from cancer, whether a new tumor in a distinct anatomic site from the primary is an independent occurrence of cancer or a metastasis. As mutational profiling of tumors becomes more widespread in routine clinical practice, this diagnostic task can be greatly enhanced by comparing mutational profiles of the tumors to determine if they are sufficiently similar to conclude that the tumors are clonally related, that is, one is a metastasis of the other. We present here a likelihood ratio test for clonal relatedness in this setting and provide evidence of its validity. The test is unusual in that there are two possible alternative hypotheses, representing the two anatomic sites from which the single clonal cell could have initially emerged. Although evidence for clonal relatedness is largely provided by the presence of exact mutational matches in the two tumors, we show that it is possible to observe data where the test is statistically significant even when no matches are observed. This can occur when the mutational profile of one of the tumors is closely aligned with the anatomic site of the other tumor, suggesting indirectly that the tumor originated in that other site. We exhibit examples of this phenomenon and recommend a strategy for interpreting the results of these tests in practice.

Indexed as

NeoplasmsClone CellsHumansLikelihood FunctionsMutationclonalitydiagnostic testdouble primarygenomic profilingmetastasis

Identifiers

PMID32135575
PMCPMC8514156

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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.