Evidence map›Paper›PMID 37416661›Full record

ArticleHeliyon2023

Promoting liver cancer cell apoptosis effect of

Jing Zhao, Jia-Qi Zhang, Tan-Tan Li, Sen Qiao, Shu-Long Jiang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Jing ZhaoClinical Medical Laboratory Center, Jining No.1 People's Hospital, Shandong First Medical University, Jining, China.
Jia-Qi ZhangClinical Medical Laboratory Center, Jining No.1 People's Hospital, Shandong First Medical University, Jining, China.
Tan-Tan LiClinical Medical Laboratory Center, Jining No.1 People's Hospital, Shandong First Medical University, Jining, China.
Sen QiaoHepatological Surgery Department, Jining No.1 People's Hospital, Shandong First Medical University, Jining, China.
Shu-Long JiangClinical Medical Laboratory Center, Jining No.1 People's Hospital, Shandong First Medical University, Jining, China.
Jining First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Traditional Chinese Medicine Systems Pharmacology (TCMSP) and PharmMapper databases were used to obtain the active ingredients and the targets of TT. Genecards database was employed to acquire TT targets in liver cancer. Furthermore, Venny 2.1, Cytoscape 3.8.2, DAVID 6.8 software were utilized to analyze the relationship between TT and liver cancer. Results: 12 active ingredients of TT, 127 targets of active ingredients, 17,378 targets of liver cancer, and 125 overlapping genes were obtained. And then, 118 items of GO biological processes (BP), 54 items of GO molecular function (MF), 35 items of GO cellular component (CC) and 128 pathways of KEGG were gotten ( Conclusion: TT has a broad range of effects on various signaling pathways and biological processes, including the regulation of apoptosis. It exhibits antitumor activity in an animal model of liver cancer and activates the apoptotic pathway by decreasing Sph level. This study provides valuable information regarding the potential use of TT extract in the treatment of liver cancer and highlights the importance of investigating the underlying molecular mechanisms of traditional medicines for the development of new therapeutic drugs in liver cancer.

Indexed as

Liver cancerMetabolomicsNetwork pharmacologySphingosineTribulus terrestris L.

Identifiers

PMID37416661
PMCPMC10320314
OpenAlexW4381847822

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.