Evidence map›Paper›PMID 37600377›Full record

ArticleHeliyon2023

Integrating network pharmacology and experimental studies for uncovering the molecular mechanisms of

Ziqi Liu, Lian Zhong, Lingyu Wang, Meiyan Li, Chao Chen

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
1.4field-weighted citation impact, top 19% 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, 9 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Ziqi LiuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, PR China.
Lian ZhongSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, PR China.
Lingyu WangSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, PR China.
Meiyan LiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, PR China.
Chao ChenSichuan Provincial People's Hospital, School of Medicine, University of Electronic Scienceand Technology of China, Chengdu 610072, P.R. China.
Chengdu University of Traditional Chinese Medicine · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Thyroid cancer (TC), a common endocrine malignant tumor with a higher incidence in females than in males, is a serious threat to human life and health. Although current clinical treatments can alleviate this disease, the recurrence rate remains high. Tuber Methods: In this study, based on network pharmacology and bioinformatics, the target and molecular mechanism of HYZ in the treatment of TC were preliminarily explored. The results suggest that the antithyroid cancer effect of HYZ may be related to the PI3K-Akt and focal adhesion pathways. Then, a TC cell model was established to further explore the detail molecular mechanisms. Results: Fortunately, HYZ induced apoptosis in KMH-2 cells and regulated the expression of apoptosis-related proteins and genes. At the same time, HYZ can also significantly inhibit the migration and invasion of TC cells. Further studies showed that the pharmacological activities of HYZ were related to the regulation of the PI3K-Akt and focal adhesion pathways. Conclusion: Our study provides a reference for further animal or clinical studies investigating the effectiveness and molecular mechanisms of HYZ against thyroid cancer.

Indexed as

ApoptosisBioinformatic analysisNetwork pharmacologyPI3K-AktThyroid cancer

Identifiers

PMID37600377
PMCPMC10432970
OpenAlexW4385612912

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.