Evidence map›Paper›PMID 19399023›Full record

ReviewNature reviews. Clinical oncology2009

Cancer micrometastases.

Klaus Pantel, Catherine Alix-Panabières, Sabine Riethdorf

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
301citing papers in PubMed, 2 pooled it
–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

301 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Precision Oncology Framework Using Circulating Tumor Cells.International journal of molecular sciences · 2025
    Review
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  16. Allicin: a promising modulator of apoptosis and survival signaling in cancer.Medical oncology (Northwood, London, England) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article

241 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

3 authors.

Klaus PantelInstitute of Tumour Biology, Center of Experimental Medicine, University Medical Center Hamburg Eppendorf, Martinistrasse 52, Hamburg, Germany. pantel@uke.uni-hamburg.de
Catherine Alix-Panabières
Sabine Riethdorf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early spread of tumor cells is usually undetected by current imaging technologies. In patients with cancer and no signs of overt metastases sensitive methods have been developed to detect circulating tumor cells (CTCs) in the peripheral blood and disseminated tumor cells (DTCs) in the bone marrow. These technologies can be classified into cytometric and/or immunological and molecular approaches. Interestingly, the bone marrow seems to be a common homing tissue for cells derived from various epithelial tumors, and level 1a data from European and US groups have confirmed the prognostic impact of DTCs in the bone marrow of patients with breast cancer. Sequential peripheral blood analyses, however, are more convenient than bone marrow analyses for patients with solid tumors, and many research groups are currently assessing the clinical use of CTCs for assessment of prognosis and monitoring of systemic therapy. Molecular characterization of DTCs and CTCs opens a new avenue for understanding cancer dormancy, and might contribute to the identification of metastatic stem cells with important implications for future therapies. This Review focuses on the clinical relevance of the latest research results on blood-borne cancer micrometastases in patients with cancer.

Indexed as

HumansNeoplasm MetastasisNeoplasmsNeoplastic Stem Cells

Identifiers

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.