Evidence map›Paper›PMID 28129357›Full record

ArticlePloS one2017

Enrichment and Molecular Analysis of Breast Cancer Disseminated Tumor Cells from Bone Marrow Using Microfiltration.

Sreeraj G Pillai, Peixuan Zhu, Chidananda M Siddappa, Daniel L Adams, Shuhong Li, Olga V Makarova, Pete Amstutz, Ryan Nunley, Cha-Mei Tang, Mark A Watson and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  8. Blood-based biopsies-clinical utility beyond circulating tumor cells.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
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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

11 authors at 2 institutions in 1 country.

Sreeraj G PillaiWashington University School of Medicine, Dept. of Surgery, St. Louis, Missouri, United States of America.ORCID http://orcid.org/0000-0002-0285-0813
Peixuan ZhuCreatv MicroTech, Inc., Rockville, Maryland, United States of America.
Chidananda M SiddappaWashington University School of Medicine, Dept. of Surgery, St. Louis, Missouri, United States of America.
Daniel L AdamsCreatv MicroTech, Inc., Monmouth Junction, New Jersey, United States of America.
Shuhong LiCreatv MicroTech, Inc., Rockville, Maryland, United States of America.
Olga V MakarovaCreatv MicroTech, Inc., Chicago, Illinois, United States of America.
Pete AmstutzCreatv MicroTech, Inc., Potomac, Maryland, United States of America.
Ryan NunleyWashington University School of Medicine, Dept. of Orthopedic Surgery, St. Louis, Missouri, United States of America.
Cha-Mei TangCreatv MicroTech, Inc., Potomac, Maryland, United States of America.
Mark A WatsonWashington University School of Medicine, Dept. of Pathology and Immunology, St. Louis, Missouri, United States of America.
Rebecca L AftWashington University School of Medicine, Dept. of Surgery, St. Louis, Missouri, United States of America.
Creatv MicroTech (United States) · USWashington University in St. Louis · 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 CA172623
6 · The paper itself

Abstract

purposeMolecular characterization of disseminated tumor cells (DTCs) in the bone marrow (BM) of breast cancer (BC) patients has been hindered by their rarity. To enrich for these cells using an antigen-independent methodology, we have evaluated a size-based microfiltration device in combination with several downstream biomarker assays.

methodsBM aspirates were collected from healthy volunteers or BC patients. Healthy BM was mixed with a specified number of BC cells to calculate recovery and fold enrichment by microfiltration. Specimens were pre-filtered using a 70 μm mesh sieve and the effluent filtered through CellSieve microfilters. Captured cells were analyzed by immunocytochemistry (ICC), FISH for HER-2/neu gene amplification status, and RNA in situ hybridization (RISH). Cells eluted from the filter were used for RNA isolation and subsequent qRT-PCR analysis for DTC biomarker gene expression.

resultsFiltering an average of 14×106 nucleated BM cells yielded approximately 17-21×103 residual BM cells. In the BC cell spiking experiments, an average of 87% (range 84-92%) of tumor cells were recovered with approximately 170- to 400-fold enrichment. Captured BC cells from patients co-stained for cytokeratin and EpCAM, but not CD45 by ICC. RNA yields from 4 ml of patient BM after filtration averaged 135ng per 10 million BM cells filtered with an average RNA Integrity Number (RIN) of 5.3. DTC-associated gene expression was detected by both qRT-PCR and RISH in filtered spiked or BC patient specimens but, not in control filtered normal BM.

conclusionsWe have tested a microfiltration technique for enrichment of BM DTCs. DTC capture efficiency was shown to range from 84.3% to 92.1% with up to 400-fold enrichment using model BC cell lines. In patients, recovered DTCs can be identified and distinguished from normal BM cells using multiple antibody-, DNA-, and RNA-based biomarker assays.

Indexed as

AdultAgedBone Marrow CellsBreast NeoplasmsCell SeparationCell SizeErb-b2 Receptor Tyrosine KinasesFemaleFiltrationGene Expression Regulation, NeoplasticHumansIn Situ HybridizationMiddle AgedNeoplasm ProteinsNeoplastic Cells, CirculatingRNA, MessengerERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNeoplasm ProteinsRNA, Messenger

Identifiers

PMID28129357
PMCPMC5271341
OpenAlexW2580920671

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.