Evidence map›Paper›PMID 30737380›Full record

ArticleNature communications2019

Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy.

Jennifer L Caswell-Jin, Katherine McNamara, Johannes G Reiter, Ruping Sun, Zheng Hu, Zhicheng Ma, Jie Ding, Carlos J Suarez, Susanne Tilk, Akshara Raghavendra and 10 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-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

37 citing papers in PubMed, 60 citations in OpenAlex.

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  11. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
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  19. Tumors Are Evolutionary Island-Like Ecosystems.Genome biology and evolution · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 8 institutions in 2 countries.

Jennifer L Caswell-JinDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.ORCID http://orcid.org/0000-0002-5711-8355
Katherine McNamaraDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.ORCID http://orcid.org/0000-0002-3717-6494
Johannes G ReiterCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, 94305, CA, USA.ORCID http://orcid.org/0000-0002-0170-7353
Ruping SunDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.ORCID http://orcid.org/0000-0003-3702-9483
Zheng HuDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.
Zhicheng MaDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.
Jie DingDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.
Carlos J SuarezDepartment of Pathology, Stanford University School of Medicine, Stanford, 94305, CA, USA.
Susanne TilkDepartment of Biology, Stanford University, Stanford, 94305, CA, USA.
Akshara RaghavendraDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA.
Victoria ForteMaimonides Medical Center, Brooklyn, 11219, NY, USA.
Suet-Feung ChinCancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0001-5697-1082
Helen BardwellCancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK.
Elena ProvenzanoCambridge Experimental Cancer Medicine Centre and NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK.
Carlos CaldasCancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0003-3547-1489
Julie LangNorris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA.ORCID http://orcid.org/0000-0002-7534-6124
Robert WestDepartment of Pathology, Stanford University School of Medicine, Stanford, 94305, CA, USA.
Debu TripathyDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA.ORCID http://orcid.org/0000-0002-5711-2404
Michael F PressNorris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA.
Christina CurtisDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States. cncurtis@stanford.edu.ORCID http://orcid.org/0000-0003-0166-3802
Stanford University · USUniversity of Cambridge · GBThe University of Texas MD Anderson Cancer Center · USUniversity of Southern California · USCambridge University Hospitals NHS Foundation Trust · GBMaimonides Medical Center · USPalo Alto University · USStanford Medicine · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Integrated genomic analysis and multi-scale modeling of therapeutic resistanceR01CA182514 · NCI · STANFORD UNIVERSITY · PI CURTIS, CHRISTINA N · 2014 to 2018
$2.4M
Inferring the roots of metastases and their effects on patient survivalK99CA229991 · NCI · STANFORD UNIVERSITY · PI REITER, JOHANNES G · 2018 to 2018
$155k
Cancer Research UK 16942NCI NIH HHS K99 CA229991NCI NIH HHS P30 CA014089NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA182514
6 · The paper itself

Abstract

Genomic changes observed across treatment may result from either clonal evolution or geographically disparate sampling of heterogeneous tumors. Here we use computational modeling based on analysis of fifteen primary breast tumors and find that apparent clonal change between two tumor samples can frequently be explained by pre-treatment heterogeneity, such that at least two regions are necessary to detect treatment-induced clonal shifts. To assess for clonal replacement, we devise a summary statistic based on whole-exome sequencing of a pre-treatment biopsy and multi-region sampling of the post-treatment surgical specimen and apply this measure to five breast tumors treated with neoadjuvant HER2-targeted therapy. Two tumors underwent clonal replacement with treatment, and mathematical modeling indicates these two tumors had resistant subclones prior to treatment and rates of resistance-related genomic changes that were substantially larger than previous estimates. Our results provide a needed framework to incorporate primary tumor heterogeneity in investigating the evolution of resistance.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesExome SequencingFemaleGene Expression Regulation, NeoplasticHumansModels, TheoreticalNeoadjuvant TherapyERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID30737380
PMCPMC6368565
OpenAlexW2914039047

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.