Evidence map›Paper›PMID 31763216›Full record

ArticleAvicenna journal of phytomedicine

Cytotoxic activity of caffeic acid and gallic acid against MCF-7 human breast cancer cells: An

Hasan Rezaei-Seresht, Hamid Cheshomi, Farahnaz Falanji, Fatemeh Movahedi-Motlagh, Maryam Hashemian, Erfan Mireskandari

Open access · greenAbstract read
In one paragraph

Article in Avicenna journal of phytomedicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 104 citations in OpenAlex.

  1. Review
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  13. Anticancer Activity of Ethanolic Extract ofInternational journal of molecular sciences · 2025
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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

6 authors at 4 institutions in 1 country.

Hasan Rezaei-SereshtTraditional and Complementary Medicine Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Hamid CheshomiCellular and Molecular Research Center, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Farahnaz FalanjiCellular and Molecular Research Center, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Fatemeh Movahedi-MotlaghCellular and Molecular Research Center, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Maryam HashemianDepartment of Nutrition, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Erfan MireskandariDepartment of Chemistry, School of Sciences, Hakim Sabzevari University, Sabzevar, Iran.
Sabzevar University of Medical Sciences · IRTehran University of Medical Sciences · IRFerdowsi University of Mashhad · IRHakim Sabzevari University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePhenolic compounds have been considered inhibitors of various cancers. MATERIAL AND

methodsIn this study, caffeic acid and gallic acid were appraised for their possible effects on apoptotic genes expression in a breast cancer cell line

resultsEvaluation of cell survival by MTT assay revealed that the half-maximal inhibitory concentration values for caffeic acid and gallic acid against MCF-7 cells, were 159 and 18 µg/ml, respectively. These compounds were found to affect

conclusionVia apoptosis induction, caffeic acid and gallic acid have induce toxic effects and morphological changes in breast cancer cells, suggesting their possible future application as antitumor agents.

Indexed as

Caffeic acidGallic acidMCF-7Mcl-1P21P53

Identifiers

PMID31763216
PMCPMC6823530
OpenAlexW2969032330

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.