Evidence map›Paper›PMID 34934770›Full record

ArticleBioMed research international2021

Recurrent Superenhancer of the Oncogene

Han-Chuan Tao, Cheng Wang, Ning Ma, Xun Zhu, Xiao-Jun Zhou

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Targeting super-enhancer activity for colorectal cancer therapy.American journal of translational research · 2024
    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

5 authors at 3 institutions in 1 country.

Han-Chuan TaoDepartment of General Surgery, Dongtai Municipal People's Hospital of Nantong University, Yancheng, 224200 Jiangsu, China.
Cheng WangDepartment of Neurology, Dongtai Municipal People's Hospital of Nantong University, Yancheng, 224200 Jiangsu, China.
Ning MaDepartment of General Surgery, Daqing Oilfield General Hospital, Daqing, 163001 Heilongjiang, China.
Xun ZhuDepartment of General Surgery, Dongtai Municipal People's Hospital of Nantong University, Yancheng, 224200 Jiangsu, China.
Xiao-Jun ZhouDepartment of General Surgery, First Affiliated Hospital of Soochow University, Soochow, Jiangsu, 215006 Jiangsu, China.ORCID https://orcid.org/0000-0001-6352-9719
Nantong University · CNDaqing Oilfield General Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superenhancer usages in single cancer form such as colorectal cancer (CRC) may provide novel efficient targeting candidates. It is unclear whether CRC contains recurrent superenhancers that confer a predisposition to malignancy. We investigated the superenhancer profile of CRC cell line HCT116 and compared it to that of a healthy sigmoid colon. We found that HCT116 had lost most of the normal colon superenhancer activities but gained a new set of tumor-favoring superenhancers that facilitate tumor proliferation, growth signalling, and hypoxia resistance. Inhibiting the superenhancers by JQ-1 treatment had significantly decreased the colony formation capability of HCT116. Then, by comparing the superenhancer genes and robust CRC upregulated genes, we identified a superenhancer associated with a common CRC upregulated oncogene,

Indexed as

Cell Line, TumorCell MovementCell ProliferationColorectal NeoplasmsGene AmplificationGene Expression Regulation, NeoplasticHCT116 CellsHomeodomain ProteinsHumansOncogenesSignal TransductionUp-RegulationHomeodomain ProteinsPOU5F1B protein, human

Identifiers

PMID34934770
PMCPMC8684575
OpenAlexW4200333770

What OpenQuestion holds

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LicenceCC BY
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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.