Evidence map›Paper›PMID 16943567›Full record

ArticleMolecular biotechnology2006

Quantitative real-time RT-PCR of disseminated tumor cells in combination with immunomagnetic cell enrichment.

Silke Lankiewicz, Bertha Gutierrez Rivero, Oliver Bócher

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2006. 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
1.8field-weighted citation impact, top 17% 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, 53 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. CTC clusters in cancer progression and metastasis.Medical oncology (Northwood, London, England) · 2017
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Circulating tumour cells in breast cancer.Ecancermedicalscience · 2013
    Review
  11. Article
  12. Circulating Tumor Cells in Early-Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2011
    Review
  13. Article
  14. Review
  15. 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

3 authors at 1 institution in 1 country.

Silke LankiewiczAdnaGen AG, Ostpassage 7, 30583 Langenhagen, Germany. sl@adnagen.com
Bertha Gutierrez Rivero
Oliver Bócher
Repha (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of disseminated tumor cells in the blood circulation is important in assessing tumor progression. The objective of this examination was to develop a highly specific and sensitive quantitative realtime reverse transcriptase-polymerase chain reaction (qRT-PCR) assay for the detection of relevant tumor-associated transcripts in patients' blood. The qRT-PCR assays detect the human epidermal growth factor receptor 2 (HER2) and CK20 transcripts of two tumor cells spiked into 5 mL of blood after an immunomagnetic tumor cell enrichment. Furthermore, the HER2 assay is only specific when enrichment is included. This procedure is a useful alternative to fluorescence in situ hybridization and immunocytochemistry for gene alteration analysis in human tumors. The analysis of the studied molecular markers of tumor cells in blood may be useful in the detection of disseminated tumor cells as well as for monitoring treatment response, early detection of relapse, and for stratification of patients with carcinoma.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell LineComputer SystemsHumansImmunomagnetic SeparationNeoplasm InvasivenessNeoplasm ProteinsReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID16943567
OpenAlexW2063362316

What OpenQuestion holds

Textmetadata
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.