Evidence map›Paper›PMID 23113900›Full record

ArticleBreast cancer research : BCR2012

Selective gene-expression profiling of migratory tumor cells in vivo predicts clinical outcome in breast cancer patients.

Antonia Patsialou, Yarong Wang, Juan Lin, Kathleen Whitney, Sumanta Goswami, Paraic A Kenny, John S Condeelis

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

90 citing papers in PubMed, 147 citations in OpenAlex.

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  9. The genomic regulation of metastatic dormancy.Cancer metastasis reviews · 2023
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Antonia Patsialou
Yarong Wang
Juan Lin
Kathleen Whitney
Sumanta Goswami
Paraic A Kenny
John S Condeelis
Albert Einstein College of Medicine · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
Tumor Progression and MetastasisP01CA100324 · NCI · YESHIVA UNIVERSITY · PI CONDEELIS, JOHN S · 2003 to 2018
$30.0M
Tumor microenvironments determing migration, dissemination and dormancyU54CA163131 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI AGUIRRE-GHISO, JULIO A., CASTRACANE, JAMES · 2011 to 2015
$3.9M
In Vivo Multiphoton Based Imaging of Complex Cancer Cell BehaviorR01CA164468 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERKHUSHA, VLADISLAV · 2011 to 2015
$3.8M
NCI NIH HHS P01 CA 100324NCI NIH HHS P01 CA100324NCI NIH HHS P30 CA 013330NCI NIH HHS P30 CA013330NCI NIH HHS R01 CA164468NCI NIH HHS U54 CA163131
6 · The paper itself

Abstract

introductionMetastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene-expression patterns correlated with cancer patient outcome. However, these were derived mostly from whole tissue without respect to cell heterogeneity. In reality, only a small subpopulation of invasive cells inside the primary tumor is responsible for escaping and initiating dissemination and metastasis. When whole tissue is used for molecular profiling, the expression pattern of these cells is masked by the majority of the noninvasive tumor cells. Therefore, little information is available about the crucial early steps of the metastatic cascade: migration, invasion, and entry of tumor cells into the systemic circulation.

methodsIn the past, we developed an in vivo invasion assay that can capture specifically the highly motile tumor cells in the act of migrating inside living tumors. Here, we used this assay in orthotopic xenografts of human MDA-MB-231 breast cancer cells to isolate selectively the migratory cell subpopulation of the primary tumor for gene-expression profiling. In this way, we derived a gene signature specific to breast cancer migration and invasion, which we call the Human Invasion Signature (HIS).

resultsUnsupervised analysis of the HIS shows that the most significant upregulated gene networks in the migratory breast tumor cells include genes regulating embryonic and tissue development, cellular movement, and DNA replication and repair. We confirmed that genes involved in these functions are upregulated in the migratory tumor cells with independent biological repeats. We also demonstrate that specific genes are functionally required for in vivo invasion and hematogenous dissemination in MDA-MB-231, as well as in patient-derived breast tumors. Finally, we used statistical analysis to show that the signature can significantly predict risk of breast cancer metastasis in large patient cohorts, independent of well-established prognostic parameters.

conclusionsOur data provide novel insights into, and reveal previously unknown mediators of, the metastatic steps of invasion and dissemination in human breast tumors in vivo. Because migration and invasion are the early steps of metastatic progression, the novel markers that we identified here might become valuable prognostic tools or therapeutic targets in breast cancer.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAnimalsBreast NeoplasmsCell Line, TumorCell MovementCohort StudiesDisease Models, AnimalFemaleGene Regulatory NetworksHeterograftsHumansNeoplasm InvasivenessPatient Outcome AssessmentPrognosisReproducibility of Results

Identifiers

PMID23113900
PMCPMC4053118
OpenAlexW2165734811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.