Evidence map›Paper›PMID 32308053›Full record

ReviewJournal of enzyme inhibition and medicinal chemistry2020

An overview on natural farnesyltransferase inhibitors for efficient cancer therapy.

Xiaohan Dai, Yingni Sun, Ting Zhang, Yongfei Ming, Gao Hongwei

Open access · goldAbstract readReview
In one paragraph

Review in Journal of enzyme inhibition and medicinal chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. [Inhibitory effect of lonafarnib on anaplastic thyroid carcinoma cells and xenograft tumor growth in nude mice].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. UtilizingArchives of Razi Institute · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Frontiers in cell and developmental biology · 2021
    Article
  11. Review
  12. 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 1 institution in 1 country.

Xiaohan DaiSchool of Life Science, Ludong University, Yantai, Shandong, China.
Yingni SunSchool of Life Science, Ludong University, Yantai, Shandong, China.
Ting ZhangSchool of Life Science, Ludong University, Yantai, Shandong, China.
Yongfei MingSchool of Life Science, Ludong University, Yantai, Shandong, China.
Gao HongweiSchool of Life Science, Ludong University, Yantai, Shandong, China.
Ludong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the world's five terminally ills, tumours can cause important genetic dysfunction. However, some current medicines for tumours usually have strong toxic side effects and are prone to drug resistance. Studies have found that farnesyltransferase inhibitors (FTIs) extracted from natural materials have a good inhibiting ability on tumours with fewer side effects. This article describes several FTIs extracted from natural materials and clarifies the current research progress, which provides a new choice for the treatment of tumours.

Indexed as

Antineoplastic AgentsBiological ProductsDose-Response Relationship, DrugDrug Screening Assays, AntitumorEnzyme InhibitorsFarnesyltranstransferaseHumansMolecular StructureNeoplasmsStructure-Activity RelationshipAntineoplastic AgentsBiological ProductsEnzyme InhibitorsFarnesyltranstransferaseFTIsinhibitorsnatural materialsRas proteinTumour

Identifiers

PMID32308053
PMCPMC7191900
OpenAlexW3017381091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.