Evidence map›Paper›PMID 25358515›Full record

ArticleEMBO molecular medicine2014

Molecular profiling of single circulating tumor cells with diagnostic intention.

Bernhard Polzer, Gianni Medoro, Sophie Pasch, Francesca Fontana, Laura Zorzino, Aurelia Pestka, Ulrich Andergassen, Franziska Meier-Stiegen, Zbigniew T Czyz, Barbara Alberter and 17 more

Abstract read
In one paragraph

Article in EMBO molecular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed
–field-weighted citation impact
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

145 citing papers in PubMed.

  1. Trial
  2. A Novel Workflow to Enrich and Isolate Patient-Matched EpCAMInternational journal of molecular sciences · 2017
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Predicting response to patients with gastric cancer via a dynamic-aware model with longitudinal liquid biopsy data.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Tracking Somatic Mutations for Lineage Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  17. Isolation and Characterization of Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  18. Article
  19. Review
  20. Biochemistry and biophysics reports · 2024
    Article

85 more citing papers are in PubMed but not listed here.

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

27 authors.

Bernhard PolzerProject Group "Personalized Tumor Therapy", Fraunhofer Institute for Toxicology und Experimental Medicine, Regensburg, Germany.
Gianni MedoroSilicon Biosystems S.p.A., Bologna, Italy.
Sophie PaschExperimental Medicine and Therapy Research, University of Regensburg, Regensburg, Germany.
Francesca FontanaSilicon Biosystems S.p.A., Bologna, Italy.
Laura ZorzinoDivision of Laboratory Medicine, European Institute of Oncology, Milan, Italy.
Aurelia PestkaDepartment of Gynecology and Obstetrics, University Munich, Munich, Germany.
Ulrich AndergassenDepartment of Gynecology and Obstetrics, University Munich, Munich, Germany.
Franziska Meier-StiegenDepartment of Gynecology and Obstetrics, University of Düsseldorf, Düsseldorf, Germany.
Zbigniew T CzyzProject Group "Personalized Tumor Therapy", Fraunhofer Institute for Toxicology und Experimental Medicine, Regensburg, Germany Experimental Medicine and Therapy Research, University of Regensburg, Regensburg, Germany.
Barbara AlberterProject Group "Personalized Tumor Therapy", Fraunhofer Institute for Toxicology und Experimental Medicine, Regensburg, Germany.
Steffi TreitschkeProject Group "Personalized Tumor Therapy", Fraunhofer Institute for Toxicology und Experimental Medicine, Regensburg, Germany.
Thomas SchambergerExperimental Medicine and Therapy Research, University of Regensburg, Regensburg, Germany.
Maximilian SergioSilicon Biosystems S.p.A., Bologna, Italy.
Giulia BregolaSilicon Biosystems S.p.A., Bologna, Italy.
Anna DoffiniSilicon Biosystems S.p.A., Bologna, Italy.
Stefano GianniSilicon Biosystems S.p.A., Bologna, Italy.
Alex CalancaSilicon Biosystems S.p.A., Bologna, Italy.
Giulio SignoriniSilicon Biosystems S.p.A., Bologna, Italy.
Chiara BolognesiSilicon Biosystems S.p.A., Bologna, Italy.
Arndt HartmannDepartment of Pathology, University Erlangen, Erlangen, Germany.
Peter A FaschingDepartment of Gynecology and Obstetrics, University Erlangen, Erlangen, Germany.
Maria T SandriDivision of Laboratory Medicine, European Institute of Oncology, Milan, Italy.
Brigitte RackDepartment of Gynecology and Obstetrics, University Munich, Munich, Germany.
Tanja FehmDepartment of Gynecology and Obstetrics, University of Düsseldorf, Düsseldorf, Germany.
Giuseppe GiorginiSilicon Biosystems S.p.A., Bologna, Italy.
Nicolò ManaresiSilicon Biosystems S.p.A., Bologna, Italy.
Christoph A KleinProject Group "Personalized Tumor Therapy", Fraunhofer Institute for Toxicology und Experimental Medicine, Regensburg, Germany Experimental Medicine and Therapy Research, University of Regensburg, Regensburg, Germany christoph.klein@klinik.uni-regensburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several hundred clinical trials currently explore the role of circulating tumor cell (CTC) analysis for therapy decisions, but assays are lacking for comprehensive molecular characterization of CTCs with diagnostic precision. We therefore combined a workflow for enrichment and isolation of pure CTCs with a non-random whole genome amplification method for single cells and applied it to 510 single CTCs and 189 leukocytes of 66 CTC-positive breast cancer patients. We defined a genome integrity index (GII) to identify single cells suited for molecular characterization by different molecular assays, such as diagnostic profiling of point mutations, gene amplifications and whole genomes of single cells. The reliability of > 90% for successful molecular analysis of high-quality clinical samples selected by the GII enabled assessing the molecular heterogeneity of single CTCs of metastatic breast cancer patients. We readily identified genomic disparity of potentially high relevance between primary tumors and CTCs. Microheterogeneity analysis among individual CTCs uncovered pre-existing cells resistant to ERBB2-targeted therapies suggesting ongoing microevolution at late-stage disease whose exploration may provide essential information for personalized treatment decisions and shed light into mechanisms of acquired drug resistance.

Indexed as

Breast NeoplasmsFemaleGenomicsHumansNeoplastic Cells, CirculatingPathology, MolecularSingle-Cell Analysisbreast cancercirculating tumor cellsmetastasissingle cell analysis

Identifiers

PMID25358515
PMCPMC4237466

What OpenQuestion holds

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Registered trials

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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.