ArticleMolecular biology research communications2021
The effect of caffeic acid phenethyl ester on cell cycle control gene expressions in breast cancer cells.
Article in Molecular biology research communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed, 13 citations in OpenAlex.
- Anticancer potential of hydroxycinnamic acids: mechanisms, bioavailability, and therapeutic applications.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Caffeic Acid Phenethyl Ester and Caffeamide Derivatives Suppress Oral Squamous Cell Carcinoma Cells.International journal of molecular sciences · 2023Article
- Biochemistry of Antioxidants: Mechanisms and Pharmaceutical Applications.Biomedicines · 2022Review
- An Insight into Anticancer Effect of Propolis and Its Constituents: A Review of Molecular Mechanisms.Evidence-based complementary and alternative medicine : eCAM · 2022Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to find the effect of caffeic acid phenethyl ester (CAPE) on the expression profiles of cell cycle control genes in breast cancer cell line (MCF-7). The cytotoxic effect of CAPE on MCF-7 cell line was found with an XTT analysis. Total RNA was isolated from the cells exposed to IC
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Registered trials
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.