Evidence map›Paper›PMID 29307488›Full record

ArticleCell2018

Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing.

Anna K Casasent, Aislyn Schalck, Ruli Gao, Emi Sei, Annalyssa Long, William Pangburn, Tod Casasent, Funda Meric-Bernstam, Mary E Edgerton, Nicholas E Navin

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 270 papers.

0numbers the graph read from it
0cells of the map it votes in
270citing papers in PubMed
17.2field-weighted citation impact, top 1% 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

270 citing papers in PubMed, 432 citations in OpenAlex.

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  12. Elucidating cooperative genetic events in DCIS progression in mutantProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  20. Super-enhancer profiling reveals ThPOK/ZBTB7B, a CD4Cellular and molecular life sciences : CMLS · 2025
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Anna K CasasentDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Aislyn SchalckDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ruli GaoDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Emi SeiDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Annalyssa LongDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
William PangburnDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Tod CasasentDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Funda Meric-BernstamDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mary E EdgertonDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: medgerton@mdanderson.org.
Nicholas E NavinDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: nnavin@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Single-Cell Sequencing of Breast Tumors to Investigate Genome EvolutionR01CA169244 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NAVIN, NICHOLAS · 2012 to 2016
$1.6M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA169244
6 · The paper itself

Abstract

Ductal carcinoma in situ (DCIS) is an early-stage breast cancer that infrequently progresses to invasive ductal carcinoma (IDC). Genomic evolution has been difficult to delineate during invasion due to intratumor heterogeneity and the low number of tumor cells in the ducts. To overcome these challenges, we developed Topographic Single Cell Sequencing (TSCS) to measure genomic copy number profiles of single tumor cells while preserving their spatial context in tissue sections. We applied TSCS to 1,293 single cells from 10 synchronous patients with both DCIS and IDC regions in addition to exome sequencing. Our data reveal a direct genomic lineage between in situ and invasive tumor subpopulations and further show that most mutations and copy number aberrations evolved within the ducts prior to invasion. These results support a multiclonal invasion model, in which one or more clones escape the ducts and migrate into the adjacent tissues to establish the invasive carcinomas.

Indexed as

Clonal EvolutionAdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastCell MovementExomeFemaleHumansMiddle AgedMutationNeoplasm InvasivenessSequence Analysis, DNASingle-Cell Analysisbreast cancerbreast cancer progressioncancer genomicsclonal evolutioncopy number evolutionductal carcinoma in situgenome evolutionintratumor heterogeneityinvasionsingle-cell sequencing

Identifiers

PMID29307488
PMCPMC5766405
OpenAlexW2781608882

What OpenQuestion holds

Textmetadata
LicenceTDM
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.