Evidence map›Paper›PMID 32463822›Full record

ArticlePLoS genetics2020

The genomic landscape of metastasis in treatment-naïve breast cancer models.

Christina Ross, Karol Szczepanek, Maxwell Lee, Howard Yang, Tinghu Qiu, Jack D Sanford, Kent Hunter

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  7. SMARCD1 is a "Goldilocks" metastasis modifier.bioRxiv : the preprint server for biology · 2024
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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

7 authors at 1 institution in 1 country.

Christina RossLaboratory of Cancer Biology and Genetics, Metastasis Susceptibility Section, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0003-4941-0249
Karol SzczepanekLaboratory of Cancer Biology and Genetics, Metastasis Susceptibility Section, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0001-6934-8505
Maxwell LeeLaboratory of Cancer Biology and Genetics, High-Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.
Howard YangLaboratory of Cancer Biology and Genetics, High-Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-9291-631X
Tinghu QiuLaboratory of Cancer Biology and Genetics, Metastasis Susceptibility Section, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.
Jack D SanfordLaboratory of Cancer Biology and Genetics, Metastasis Susceptibility Section, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0001-6054-9685
Kent HunterLaboratory of Cancer Biology and Genetics, Metastasis Susceptibility Section, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0001-5963-8808
National Cancer Institute · US

Funding

Genetic Modifiers of Intitiation and Progression of Mammary CancerZIABC011255 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUNTER, KENT WILLIAM · 2010 to 2025
$33.2M
Integrated analyses of genetics, epigenetics, and gene expressionZIHBC011703 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, MAXWELL · 2016 to 2025
$10.9M
Intramural NIH HHS ZIA BC011255
6 · The paper itself

Abstract

Metastasis remains the principle cause of mortality for breast cancer and presents a critical challenge because secondary lesions are often refractory to conventional treatments. While specific genetic alterations are tightly linked to primary tumor development and progression, the role of genetic alteration in the metastatic process is not well-understood. The theory of tumor evolution postulated by Peter Nowell in 1976 has yet to be proven in the context of metastasis. Therefore, in order to investigate how somatic evolution contributes to breast cancer metastasis, we performed exome, whole genome, and RNA sequencing of matched metastatic and primary tumors from pre-clinical mouse models of breast cancer. Here we show that in a treatment-naïve setting, recurrent single nucleotide variants and copy number variation, but not gene fusion events, play key metastasis-driving roles in breast cancer. For instance, we identified recurrent mutations in Kras, a known driver of colorectal and lung tumorigenesis that has not been previously implicated in breast cancer metastasis. However, in a set of in vivo proof-of-concept experiments we show that the Kras G12D mutation is sufficient to significantly promote metastasis using three syngeneic allograft models. The work herein confirms the existence of metastasis-driving mutations and presents a novel framework to identify actionable metastasis-targeted therapies.

Indexed as

MutationAnimalsBreast NeoplasmsCells, CulturedClonal EvolutionDisease Models, AnimalDisease ProgressionDNA Mutational AnalysisExome SequencingFemaleGenomicsHEK293 CellsHeterograftsHigh-Throughput Nucleotide SequencingHumansMice

Identifiers

PMID32463822
PMCPMC7282675
OpenAlexW3031032700

What OpenQuestion holds

Textmetadata
LicenceCC0
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.