Evidence map›Paper›PMID 34561763›Full record

ReviewApoptosis : an international journal on programmed cell death2021

Targeting of cancer cell death mechanisms by resveratrol: a review.

Xiao Fu, Mu Li, Cuilian Tang, Zezhi Huang, Masoud Najafi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Apoptosis : an international journal on programmed cell death, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

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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 2 countries.

Xiao FuCollege of Basic Medicine, Shaoyang University, Shaoyang, 422000, China.
Mu LiCollege of Basic Medicine, Shaoyang University, Shaoyang, 422000, China.
Cuilian TangDepartment of Obstetrics and Gynecology of the Second Affiliated Hospital, Shaoyang University, Shaoyang, 422000, China.
Zezhi HuangShaoyang Key Laboratory of Molecular Biology Diagnosis, Shaoyang, 422000, China. huangzezhi1964@163.com.
Masoud NajafiMedical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran. masoud.najafi@kums.ac.ir.ORCID 0000-0002-6341-9007
Shaoyang University · CNKermanshah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cell death is the utmost aim in cancer therapy. Anti-cancer agents can induce apoptosis, mitotic catastrophe, senescence, or autophagy through the production of free radicals and induction of DNA damage. However, cancer cells can acquire some new properties to adapt to anti-cancer agents. An increase in the incidence of apoptosis, mitotic catastrophe, senescence, and necrosis is in favor of overcoming tumor resistance to therapy. Although an increase in the autophagy process may help the survival of cancer cells, some studies indicated that stimulation of autophagy cell death may be useful for cancer therapy. Using some low toxic agents to amplify cancer cell death is interesting for the eradication of clonogenic cancer cells. Resveratrol (a polyphenol agent) may affect various signaling pathways related to cell death. It can induce death signals and also downregulate the expression of anti-apoptotic genes. Resveratrol has also been shown to modulate autophagy and induce mitotic catastrophe and senescence in some cancer cells. This review focuses on the important targets and mechanisms for the modulation of cancer cell death by resveratrol.

Indexed as

Antineoplastic AgentsNeoplasmsApoptosisAutophagyHumansResveratrolAntineoplastic AgentsResveratrolApoptosisAutophagyCancer cell deathCancer resistanceMitotic catastropheResveratrol

Identifiers

PMID34561763
OpenAlexW3201191686

What Socratic holds

Textmetadata
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.