Evidence map›Paper›PMID 33149754›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Deciphering of Key Pharmacological Pathways of Poria Cocos Intervention in Breast Cancer Based on Integrated Pharmacological Method.

Xiaoran Ma, Jibiao Wu, Cun Liu, Jie Li, Shixia Dong, Xiaolu Zhang, Jia Wang, Lijuan Liu, Xiaoming Zhang, Peng Sun and 2 more

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

12 authors.

Xiaoran MaCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Jibiao WuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Cun LiuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Jie LiCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Shixia DongClinical Medical Colleges, Weifang Medical University, Weifang 261000, Shandong, China.
Xiaolu ZhangCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Jia WangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Lijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261041, Shandong, China.
Xiaoming ZhangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, China.
Peng SunCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jing ZhuangDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261041, Shandong, China.ORCID https://orcid.org/0000-0002-2641-8611
Changgang SunDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261041, Shandong, China.ORCID https://orcid.org/0000-0002-6648-3602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePoria cocos (Fuling), a natural plant, has recently emerged as a promising strategy for cancer treatment. However, the molecular mechanisms of Poria cocos action in breast cancer remain poorly understood.

methodsTCMSP database was used to screen the potential active ingredients in Poria cocos. GEO database was used to identify differentially expressed genes. Network pharmacology was used to identify the specific pathways and key target proteins related to breast cancer. Finally, molecular docking was used to validate the results.

resultsIn our study, 237 targets were predicted for 15 potential active ingredients found in Poria cocos. An interaction network of predicted targets and genes differentially regulated in breast cancers was constructed. Based on the constructed network and further analysis including network topology, KEGG, survival analysis, and gene set enrichment analysis, 3 primary nodes were identified as key potential targets that were significantly enriched in the PPAR signaling pathway.

conclusionThe results showed that potential active ingredients of Poria cocos might interfere with breast cancer through synergistic regulation of PTGS2, ESR1, and FOS.

Identifiers

PMID33149754
PMCPMC7603580

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.