Evidence map›Paper›PMID 37936719›Full record

ArticleFrontiers in molecular biosciences2023

Using CADD tools to inhibit the overexpressed genes FAP, FN1, and MMP1 by repurposing ginsenoside C and Rg1 as a treatment for oral cancer.

Manal Abouelwafa, Tamer M Ibrahim, Mohamed S El-Hadidi, Mater H Mahnashi, Amani Y Owaidah, Nizar H Saeedi, Hany G Attia, John J Georrge, Amany Mostafa

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in molecular biosciences, 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
0.9field-weighted citation impact, top 24% 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, 6 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

9 authors at 7 institutions in 3 countries.

Manal AbouelwafaDepartment of Bioinformatics, Christ College, Rajkot, Gujarat, India.
Tamer M IbrahimDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt.
Mohamed S El-HadidiBioinformatics Group, Center for Informatics Sciences, School of Information Technology and Computer Science, Nile University, Giza, Egypt.
Mater H MahnashiDepartment of Pharmaceutical Chemistry, College of Pharmacy, Najran University, Najran, Saudi Arabia.
Amani Y OwaidahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia.
Nizar H SaeediDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia.
Hany G AttiaDepartment of Pharmacognosy, College of Pharmacy, Najran University, Najran, Saudi Arabia.
John J GeorrgeDepartment of Bioinformatics, University of North Bengal, West Bengal, India.
Amany MostafaNanomedicine and Tissue Engineering Laboratory, Medical Research Centre of Excellence, National Research Centre (NRC), Cairo, Egypt.
Najran University · SANile University · EGChrist University · INImam Abdulrahman Bin Faisal University · SANational Research Centre · EGNorth Bengal University · INUniversity of Tabuk · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer is one of the most common cancer types. Many factors can express certain genes that cause the proliferation of oral tissues. Overexpressed genes were detected in oral cancer patients; three were highly impacted. FAP, FN1, and MMP1 were the targeted genes that showed inhibition results

Indexed as

FAPFN1ginsenoside C and Rg1MMP1molecular dockingsimulation

Identifiers

PMID37936719
PMCPMC10627001
OpenAlexW4387879582

What Socratic 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 Socratic graph.