Evidence map›Paper›PMID 33511213›Full record

ArticleBioMed research international2021

Functional lncRNA-miRNA-mRNA Networks in Response to Baicalein Treatment in Hepatocellular Carcinoma.

Xin Zhao, Dongyang Tang, Xiaofei Chen, Shaoqing Chen, Cheng Wang

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Biochemistry and biophysics reports · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

5 authors at 5 institutions in 1 country.

Xin ZhaoDepartment of Pharmacy, Xinxiang Central Hospital, Xinxiang, China.ORCID https://orcid.org/0000-0002-3692-610X
Dongyang TangDepartment of Experimental Management Center, Henan Institute of Science and Technology, Xinxiang, China.ORCID https://orcid.org/0000-0002-6100-1184
Xiaofei ChenClinical Laboratory, The People's Hospital of Suzhou New District, Suzhou, China.ORCID https://orcid.org/0000-0002-9144-7523
Shaoqing ChenCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-4890-512X
Cheng WangSchool of Pharmaceutical Engineering & Life Science, School of Nursing, Changzhou University, Changzhou, China.ORCID https://orcid.org/0000-0001-5087-3027
Changzhou University · CNHenan Institute of Science and Technology · CNThe Fifth People’s Hospital of Suzhou · CNXinxiang Central Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBaicalein has been shown to have antitumor activities in several cancer types. However, its acting mechanisms remain to be further investigated. This work is aimed at exploring the functional long noncoding RNA (lncRNA)/microRNA (miRNA)/messenger RNA (mRNA) triplets in response to baicalein in hepatocellular carcinoma (HCC) cell to understand the mechanisms of baicalein in HCC.

methodsDifferentially expressed lncRNAs (DELs) and miRNAs (DEMs) in HCC cell treated with baicalein were first screened using GSE95504 and GSE85511, respectively. miRNA targets for DELs were predicted and intersected with DEMs, after which the miRNA expression was validated using ENCORI and its prognostic value was assessed using Kaplan-Meier plotter. Potential miRNA targets were predicted by 3 prediction tools, after which expression level was validated at UALCAN and Human Protein Atlas. Kaplan-Meier plotter was used to evaluate the effects of these genes on overall survival and recurrence-free survival of HCC patients. Enrichment analyses for these genes were performed at DAVID.

resultsHere, we identified 14 overlapping DELs and 26 overlapping DEMs in the baicalein treatment group than those in the DMSO treatment group. Subsequently, by analyzing expression and clinical significance of miRNAs, hsa-miR-4443 was found as a highly potential miRNA target. Then, targets of hsa-miR-4443 were predicted and analyzed, and we found AKT1 was the most potential target for hsa-miR-4443. Hence, the lncRNAs-hsa-miR-4443-AKT1 axis that can respond to baicalein was established.

conclusionCollectively, we elucidated a role of lncRNAs-hsa-miR-4443-AKT1 pathway in response to baicalein treatment in HCC, which could help us understand the roles of baicalein in inhibiting cancer progression and may provide novel insights into the mechanisms behind HCC progression.

Indexed as

Antineoplastic Agents, PhytogenicCarcinoma, HepatocellularFemaleFlavanonesGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateLiver NeoplasmsMaleMicroRNAsProtein Interaction MapsProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-mdm2Reproducibility of ResultsRNA, Long NoncodingAKT1 protein, humanAntineoplastic Agents, PhytogenicbaicaleinFlavanonesMDM2 protein, humanMicroRNAsMIRN-4443 microRNA, humanMIRN675 microRNA, humanProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-mdm2RNA, Long NoncodingRNA, Messenger

Identifiers

PMID33511213
PMCPMC7825356
OpenAlexW3119316017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.