Evidence map›Paper›PMID 27413709›Full record

ReviewTranslational lung cancer research2016

Lung cancer stem cells-characteristics, phenotype.

Georgia Hardavella, Rachel George, Tariq Sethi

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
  5. Article
  6. Review
  7. A Novel Aniline Derivative fromInternational journal of molecular sciences · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. [Targeted killing of CD133Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. The vascular nature of lung-resident mesenchymal stem cells.Stem cells translational medicine · 2021
    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.

Georgia Hardavella1 Department of Respiratory Medicine and Allergy, King's College, London, UK ; 2 Department of Respiratory Medicine, King's College Hospital, London, UK.
Rachel George1 Department of Respiratory Medicine and Allergy, King's College, London, UK ; 2 Department of Respiratory Medicine, King's College Hospital, London, UK.
Tariq Sethi1 Department of Respiratory Medicine and Allergy, King's College, London, UK ; 2 Department of Respiratory Medicine, King's College Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains a major cause of cancer-related deaths worldwide with unfavourable prognosis mainly due to the late stage of disease at presentation. High incidence and disease recurrence rates are a fact despite advances in treatment. Ongoing experimental and clinical observations suggest that the malignant phenotype in lung cancer is sustained by lung cancer stem cells (CSCs) which are putative stem cells situated throughout the airways that have the potential of initiating lung cancer formation. These cells share the common characteristic of increased proliferation and differentiation, long life span and resistance to chemotherapy and radiation therapy. This review summarises the current knowledge on their characteristics and phenotype.

Indexed as

characteristicslung cancerphenotypestem cell markersStem cells

Identifiers

PMID27413709
PMCPMC4931140

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.