Evidence map›Paper›PMID 25896421›Full record

ArticleJournal of translational medicine2015

A novel method for downstream characterization of breast cancer circulating tumor cells following CellSearch isolation.

Henrik Frithiof, Charlotte Welinder, Anna-Maria Larsson, Lisa Rydén, Kristina Aaltonen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01322893 (Enumeration and Molecular Characterization of Circulating Tumour Cells in Women With Metastatic Breast Cancer), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT01322893 completednot on this map

Enumeration and Molecular Characterization of Circulating Tumour Cells in Women With Metastatic Breast Cancer

TypeobservationalSponsorLund University HospitalRan2011 to 2016Enrolled150ConditionsMetastatic Breast Cancer
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  16. A FISH-based method for assessment ofOncoTargets and therapy · 2016
    Article
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

5 authors at 1 institution in 1 country.

Henrik FrithiofDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. henrik.frithiof@med.lu.se.
Charlotte WelinderDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. charlotte.welinder@med.lu.se.
Anna-Maria LarssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. anna-maria.larsson@med.lu.se.
Lisa RydénDivision of Surgery, Department of Clinical Sciences, Lund University, Lund, Sweden. lisa.ryden@med.lu.se.
Kristina AaltonenDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. kristina.aaltonen@med.lu.se.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnumeration of circulating tumor cells (CTCs) obtained from minimally invasive blood samples has been well established as a valuable monitoring tool in metastatic and early breast cancer, as well as in several other cancer types. The gold standard technology for detecting CTCs in blood against a backdrop of millions of leukocytes is the FDA-approved CellSearch system (Janssen Diagnostics), which relies on EpCAM-based immunomagnetic separation. Secondary characterization of these cells could enable treatment selection based on specific targets in these cells, as well as providing a real time window into the metastatic process and offering unique insights into tumor heterogeneity. The objective of this study was to develop a method for downstream characterization of CTCs following isolation with the CellSearch system.

methodsAn in vitro CTC model system focusing on clinically useful treatment predictive biomarkers in breast cancer, specifically the estrogen receptor α (ERα) and the human epidermal growth factor receptor 2 (HER2), was established using healthy donor blood spiked with breast cancer cell lines MCF7 (ERα(+)/HER2(-)) and SKBr3 (ERα(-)/HER2(+)). Following CTC isolation by CellSearch, the captured CTCs were further enriched and fixed on a microscope slide using the in-house-developed CTC-DropMount technique.

resultsThe recovery rate of CTCs after CellSearch Profile analysis and CTC-DropMount was 87%. A selective and consistent triple-immunostaining protocol was optimized. Cells positive for DAPI, cytokeratin (CK) 8, 18 and 19, but negative for the leukocyte-specific marker CD45, were classified as CTCs and subsequently analyzed for ERα and HER2 expression. The method was verified in breast cancer patient samples, thus demonstrating its clinical relevance.

conclusionsOur results show that it is possible to ascertain the status of important predictive biomarkers expressed in breast cancer CTCs using the newly developed CTC-DropMount technique. Downstream characterization of multiple biomarkers using a standard fluorescence microscope demonstrates that important clinical and biological information may be obtained from a single patient blood sample following either CellSearch epithelial or profile analyses.

trial registrationClinical Trials NCT01322893.

Indexed as

Breast NeoplasmsCell Line, TumorCell SeparationErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleFluorescent Antibody TechniqueHumansLeukocyte Common AntigensNeoplasm MetastasisNeoplastic Cells, CirculatingReproducibility of ResultsTissue DonorsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaLeukocyte Common Antigens

Identifiers

PMID25896421
PMCPMC4409738
OpenAlexW1991933571

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Registered trials

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.