Evidence map›Paper›PMID 35247876›Full record

ArticleBlood cancer discovery2022

Reconstructing Complex Cancer Evolutionary Histories from Multiple Bulk DNA Samples Using Pairtree.

Jeff A Wintersinger, Stephanie M Dobson, Ethan Kulman, Lincoln D Stein, John E Dick, Quaid Morris

Open access · hybridAbstract read
In one paragraph

Article in Blood cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Inferring and summarizing tumor phylogenies from bulk DNA data.Algorithms for molecular biology : AMB · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Jeff A WintersingerDepartment of Computer Science, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-4538-9470
Stephanie M DobsonDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Ethan KulmanMemorial Sloan Kettering Cancer Center, New York, New York.
Lincoln D SteinOntario Institute for Cancer Research, Toronto, Ontario, Canada.
John E DickDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-9527-8317
Quaid MorrisDepartment of Computer Science, University of Toronto, Toronto, Ontario, Canada.
Memorial Sloan Kettering Cancer Center · USOntario Institute for Cancer Research · CAUniversity of Toronto · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Cancers are composed of genetically distinct subpopulations of malignant cells. DNA-sequencing data can be used to determine the somatic point mutations specific to each population and build clone trees describing the evolutionary relationships between them. These clone trees can reveal critical points in disease development and inform treatment. Pairtree is a new method that constructs more accurate and detailed clone trees than previously possible using variant allele frequency data from one or more bulk cancer samples. It does so by first building a Pairs Tensor that captures the evolutionary relationships between pairs of subpopulations, and then it uses these relations to constrain clone trees and infer violations of the infinite sites assumption. Pairtree can accurately build clone trees using up to 100 samples per cancer that contain 30 or more subclonal populations. On 14 B-progenitor acute lymphoblastic leukemias, Pairtree replicates or improves upon expert-derived clone tree reconstructions. SIGNIFICANCE: Clone trees illustrate the evolutionary history of a cancer and can provide insights into how the disease changed through time (e.g., between diagnosis and relapse). Pairtree uses DNA-sequencing data from many samples of the same cancer to build more detailed and accurate clone trees than previously possible. See related commentary by Miller, p. 176. This article is highlighted in the In This Issue feature, p. 171.

Indexed as

AlgorithmsNeoplasmsDNAEvolution, MolecularHumansSequence Analysis, DNADNA

Identifiers

PMID35247876
PMCPMC9780082
OpenAlexW4220858033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.