Evidence map›Paper›PMID 30736482›Full record

ReviewCells2019

Cell Fusion in Human Cancer: The Dark Matter Hypothesis.

Julian Weiler, Thomas Dittmar

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Cell-Cell Fusion as a Mechanism of Immune Evasion and Metastatic Progression.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cell Fusion and Syncytia Formation in Cancer.Results and problems in cell differentiation · 2024
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Tumour Stem Cells in Breast Cancer.International journal of molecular sciences · 2022
    Review
  18. Review
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Julian WeilerChair of Immunology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, Stockumer Str. 10, 58448 Witten, Germany. julian.weiler@uni-wh.de.
Thomas DittmarChair of Immunology, Center for Biomedical Education and Research (ZBAF), Witten/Herdecke University, Stockumer Str. 10, 58448 Witten, Germany. thomas.dittmar@uni-wh.de.ORCID 0000-0001-8505-3424
Witten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current strategies to determine tumor × normal (TN)-hybrid cells among human cancer cells include the detection of hematopoietic markers and other mesodermal markers on tumor cells or the presence of donor DNA in cancer samples from patients who had previously received an allogenic bone marrow transplant. By doing so, several studies have demonstrated that TN-hybrid cells could be found in human cancers. However, a prerequisite of this cell fusion search strategy is that such markers are stably expressed by TN-hybrid cells over time. However, cell fusion is a potent inducer of genomic instability, and TN-hybrid cells may lose these cell fusion markers, thereby becoming indistinguishable from nonfused tumor cells. In addition, hybrid cells can evolve from homotypic fusion events between tumor cells or from heterotypic fusion events between tumor cells and normal cells possessing similar markers, which would also be indistinguishable from nonfused tumor cells. Such indistinguishable or invisible hybrid cells will be referred to as dark matter hybrids, which cannot as yet be detected and quantified, but which contribute to tumor growth and progression.

Indexed as

Models, BiologicalBiomarkers, TumorCell FusionGenomic InstabilityHumansHybrid CellsNeoplasmsBiomarkers, Tumorcancercell fusiondark mattermetastasis

Identifiers

PMID30736482
PMCPMC6407028
OpenAlexW2914567224

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.