Evidence map›Paper›PMID 29215091›Full record

ReviewJournal of human genetics2018

Cancer induction and suppression with transcriptional control and epigenome editing technologies.

Shota Nakade, Takashi Yamamoto, Tetsushi Sakuma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Targeting Epigenetic Modifications in Uveal Melanoma.International journal of molecular sciences · 2020
    Review
  7. Review
  8. 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

3 authors.

Shota NakadeDepartment of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, 739-8526, Japan.
Takashi YamamotoDepartment of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, 739-8526, Japan.
Tetsushi SakumaDepartment of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, 739-8526, Japan. tetsushi-sakuma@hiroshima-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer epigenetics is one of the most important research subjects in dissecting cancer mechanisms and therapeutic targets because the emergence and malignant transformation of various cancers are caused by unnatural expression of cancer-related genes attributed to their epigenetic errors. The original concept of cancer epigenetics basically stands on the analysis of the epigenetic status in naturally occurring cancer cells; however, the rapidly emerging technology called epigenome editing would change this situation drastically. Epigenome editing, the most promising derivative technology of genome editing, can modify the epigenetic states at the pre-defined genomic locus using the programmable effectors, consisting of various epigenetic factors combined with site-specific DNA-binding domains. This technology can be utilized in a reversible manner; i.e., cancer modeling can be achieved by introducing aberrant epigenetic marks in normal cells, and cancer suppression can be achieved by correcting the epigenetic errors in cancer cells. In this review, we summarize the basics of epigenome editing and cancer epigenetics, followed by the current examples of cancer induction and suppression with the transcriptional control and epigenome editing technologies.

Indexed as

Cell Transformation, NeoplasticNeoplasmsAnimalsEpigenesis, GeneticEpigenomicsGene EditingGene Expression RegulationHumansTranscription, Genetic

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.