Evidence map›Paper›PMID 29291741›Full record

ArticleBreast cancer research : BCR2018

Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model.

Sreeraj G Pillai, Shunqiang Li, Chidananda M Siddappa, Matthew J Ellis, Mark A Watson, Rebecca Aft

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Sreeraj G PillaiDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Shunqiang LiDepartment of Internal Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Chidananda M SiddappaDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Matthew J EllisBaylor College of Medicine, Lester and Sue Smith Breast Center, Houston, TX, USA.
Mark A WatsonDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Rebecca AftDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA. aftr@wustl.edu.
Washington University in St. Louis · USBaylor College of Medicine · US

Funding

ANALYSIS AND THERAPEUTIC TARGETING OF BREAST CANCER DISSEMINATED TUMOR CELLSR01CA172623 · NCI · WASHINGTON UNIVERSITY · PI AFT, REBECCA L., WATSON, MARK A. · 2013 to 2017
$2.0M
NCI NIH HHS R01 CA172623NIH HHS R01CA172623
6 · The paper itself

Abstract

backgroundDisseminated tumor cells (DTCs) found in the bone marrow (BM) of patients with breast cancer portend a poor prognosis and are thought to be intermediaries in the metastatic process. To assess the clinical relevance of a mouse model for identifying possible prognostic and predictive biomarkers of these cells, we have employed patient-derived xenografts (PDX) for propagating and molecularly profiling human DTCs.

methodsPreviously developed mouse xenografts from five breast cancer patients were further passaged by implantation into NOD/SCID mouse mammary fat pads. BM was collected from long bones at early, serial passages and analyzed for human-specific gene expression by qRT-PCR as a surrogate biomarker for the detection of DTCs. Microarray-based gene expression analyses were performed to compare expression profiles between primary xenografts, solid metastasis, and populations of BM DTCs. Differential patterns of gene expression were then compared to previously generated microarray data from primary human BM aspirates from patients with breast cancer and healthy volunteers.

resultsHuman-specific gene expression of SNAI1, GSC, FOXC2, KRT19, and STAM2, presumably originating from DTCs, was detected in the BM of all xenograft mice that also developed metastatic tumors. Human-specific gene expression was undetectable in the BM of those xenograft lines with no evidence of distant metastases and in non-transplanted control mice. Comparative gene expression analysis of BM DTCs versus the primary tumor of one mouse line identified multiple gene transcripts associated with epithelial-mesenchymal transition, aggressive clinical phenotype, and metastatic disease development. Sixteen of the PDX BM associated genes also demonstrated a statistically significant difference in expression in the BM of healthy volunteers versus the BM of breast cancer patients with distant metastatic disease.

conclusionUnique and reproducible patterns of differential gene expression can be identified that presumably originate from BM DTCs in mouse PDX lines. Several of these identified genes are also detected in the BM of patients with breast cancer who develop early metastases, which suggests that they may be clinically relevant biomarkers. The PDX model may also provide a clinically relevant system for analyzing and targeting these intermediaries of metastases.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsBiomarkers, TumorBone Marrow CellsBreast NeoplasmsDisease Models, AnimalEndosomal Sorting Complexes Required for TransportEpithelial-Mesenchymal TransitionFemaleForkhead Transcription FactorsGene Expression Regulation, NeoplasticGoosecoid ProteinHumansKeratin-19MiceNeoplasm MetastasisAdaptor Proteins, Signal TransducingBiomarkers, TumorEndosomal Sorting Complexes Required for TransportForkhead Transcription FactorsGoosecoid ProteinGSC protein, humanKeratin-19KRT19 protein, humanmesenchyme fork head 1 proteinSNAI1 protein, humanSnail Family Transcription FactorsSTAM2 protein, humanBreast cancerDisseminated tumor cellsGene expression profileMetastasisPatient-derived xenograft

Identifiers

PMID29291741
PMCPMC5748947
OpenAlexW2781647193

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LicenceCC BY
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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.