Evidence map›Paper›PMID 30681073›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Berberine Promotes Apoptosis of Colorectal Cancer via Regulation of the Long Non-Coding RNA (lncRNA) Cancer Susceptibility Candidate 2 (CASC2)/AU-Binding Factor 1 (AUF1)/B-Cell CLL/Lymphoma 2 (Bcl-2) Axis.

Wei Dai, Liyuan Mu, Yali Cui, Yingying Li, Ping Chen, Hongjian Xie, Xia Wang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Long Non-Coding RNAMolecules (Basel, Switzerland) · 2024
    Review
  9. International journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Identification ofMolecules (Basel, Switzerland) · 2022
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Wei DaiMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Liyuan MuMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Yali CuiMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Yingying LiMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Ping ChenMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Hongjian XieMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
Xia WangMedical Laboratory, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China (mainland).
West China Second University Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Berberine, a natural isoquinoline alkaloid derived from Berberis genus plants, has been reported to have anti-cancer effects. While cell behavior can be modulated by long non-coding RNAs (lncRNAs), the contributions of lncRNAs in progression and berberine effects on colorectal cancer are largely unknown. Therefore, the present study investigated the involvement and regulatory function of lncRNA cancer susceptibility candidate 2 (CASC2) during the treatment of human colorectal cancer using berberine. MATERIAL AND METHODS Reverse transcription-quantitative PCR (RT-qPCR) was performed to detect the expression levels of lncRNA CASC2 and Bcl-2 mRNA in colorectal cancer cells. MTT assay was performed to evaluate cell viability. Flow cytometry and TUNEL assay were used to analyze the apoptosis of cancer cells. RNA immunoprecipitation (RIP) assay was done to verify the interaction between lncRNA CASC2 and (AU-binding factor 1) AUF1, or AUF1 and B-cell CLL/lymphoma 2 (Bcl-2). RESULTS Treatment with berberine suppressed cell viability of colorectal cancer by promoting apoptosis level. LncRNA CASC2 was upregulated in cells treated with berberine, and knockdown of lncRNA CASC2 reversed the berberine-induced apoptosis. In addition, anti-apoptotic gene Bcl-2 was suppressed by berberine treatment and lncRNA CASC2, inducing the pro-apoptotic effects. Moreover, lncRNA CASC2 binds to AUF1, which sequestered AUF1 from binding to Bcl-2 mRNA, thus inducing the inactivation of Bcl-2 translation. CONCLUSIONS Our study reveals that lncRNA CASC2 mediates the berberine-induced pro-apoptotic effect via inhibition of Bcl-2 expression at the post-transcriptional level.

Indexed as

ApoptosisBerberineCell MovementCell ProliferationColorectal NeoplasmsDisease ProgressionDown-RegulationGene Expression Regulation, NeoplasticHCT116 CellsHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous Nuclear Ribonucleoprotein D0HT29 CellsHumansMicroRNAsProto-Oncogene Proteins c-bcl-2RNA, Long NoncodingBCL2 protein, humanBerberineHeterogeneous-Nuclear Ribonucleoprotein DHeterogeneous Nuclear Ribonucleoprotein D0HNRNPD protein, humanlong non-coding RNA CASC2, humanMicroRNAsProto-Oncogene Proteins c-bcl-2RNA, Long NoncodingRNA, MessengerTumor Suppressor Proteins

Identifiers

PMID30681073
PMCPMC6357823
OpenAlexW2913652871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.