Evidence map›Paper›PMID 31949850›Full record

ArticleInternational journal of clinical and experimental pathology2018

JARID1B modulates breast cancer cell apoptosis by regulating p53 expression.

Jinghao Wang, Xiaosong Wu, Jingxin Wang, Luchen Shan

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Adenosine receptors in breast cancer.Molecular biology reports · 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

4 authors at 2 institutions in 1 country.

Jinghao WangDepartment of Pharmacy, The First Affiliated Hospital, Jinan University Guangzhou, China.
Xiaosong WuDepartment of Pharmacy, The First Affiliated Hospital, Jinan University Guangzhou, China.
Jingxin WangDepartment of Pharmacy, Hongqi Hospital of Mudanjiang Medical University Heilongjiang, China.
Luchen ShanInstitute of New Drug Research and Guangzhou Key Laboratory of Innovative Chemical Drug Research in Cardio-cerebrovascular Diseases, Jinan University College of Pharmacy Guangzhou, China.
First Affiliated Hospital of Jinan University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jumonji AT-rich interactive domain 1B (JARID1B) has been implicated in breast cancer progression, but its role in apoptosis has not been explored. The present study was designed to investigate the effect of JARID1B on breast cancer cell apoptosis. Apoptosis was assessed by TUNEL, flow cytometry and caspase-3 activity. JARID1B and p53 expression were examined by Western blot. Cell viability was measured by an MTT assay. We found that JARID1B is overexpressed in the breast cancer cell line and in breast cancer tissues. Upregulated expression of JARID1B in breast cancer tissues correlates with poor patient prognosis. The apoptosis of breast cancer cells is significantly increased by RNA interference targeting JARID1B. Moreover, the expression of p53 is modulated by JARID1B; the silencing of JARID1B exhibits greatly increased p53 expression at the protein level. The inhibition of p53 by small interfering RNA (siRNA) reverses the JARID1B siRNA-induced increase of apoptosis. Our results collectively suggest that JARID1B plays a key role in breast cancer cell apoptosis, and it may partially achieve this role through p53.

Indexed as

apoptosisBreast cancerJARID1Bp53

Identifiers

PMID31949850
PMCPMC6962977
OpenAlexW3026063970

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.