Evidence map›Paper›PMID 32394305›Full record

ReviewCancer metastasis reviews2020

Epigenetic dynamics in cancer stem cell dormancy.

Alejandra I Ferrer, Jonathan R Trinidad, Oleta Sandiford, Jean-Pierre Etchegaray, Pranela Rameshwar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer metastasis reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  10. A Drug Repurposing Approach Reveals Targetable Epigenetic Pathways inbioRxiv : the preprint server for biology · 2024
    Article
  11. Article
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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

5 authors.

Alejandra I Ferrer *Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
Jonathan R Trinidad *Department of Biological Sciences, Rutgers University, Newark, NJ, 07102, USA.
Oleta SandifordDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
Jean-Pierre EtchegarayDepartment of Biological Sciences, Rutgers University, Newark, NJ, 07102, USA. etchegje@newark.rutgers.edu.
Pranela RameshwarDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA. rameshwa@njms.rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains one of the most challenging diseases despite significant advances of early diagnosis and therapeutic treatments. Cancerous tumors are composed of various cell types including cancer stem cells capable of self-renewal, proliferation, differentiation, and invasion of distal tumor sites. Most notably, these cells can enter a dormant cellular state that is resistant to conventional therapies. Thereby, cancer stem cells have the intrinsic potential for tumor initiation, tumor growth, metastasis, and tumor relapse after therapy. Both genetic and epigenetic alterations are attributed to the formation of multiple tumor types. This review is focused on how epigenetic dynamics involving DNA methylation and DNA oxidations are implicated in breast cancer and glioblastoma multiforme. The emergence and progression of these cancer types rely on cancer stem cells with the capacity to enter quiescence also known as a dormant cellular state, which dictates the distinct tumorigenic aggressiveness between breast cancer and glioblastomas.

Indexed as

AnimalsBrain NeoplasmsBreast NeoplasmsDNA MethylationDNA, NeoplasmEpigenesis, GeneticGlioblastomaHumansNeoplastic Stem CellsOxidation-ReductionDNA, NeoplasmBone marrowBreast cancerCancer stem cellsDormancyEpigeneticsGlioblastoma multiformeTET

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.