Data from: Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: A meta-analysis
Data files
May 27, 2024 version files 67.28 KB
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AUR.csv
16.68 KB
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combined.csv
32.81 KB
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README.md
1.54 KB
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UMB.csv
16.25 KB
Aug 26, 2024 version files 67.27 KB
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AUR.csv
16.68 KB
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combined.csv
32.81 KB
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README.md
1.53 KB
-
UMB.csv
16.25 KB
Sep 04, 2024 version files 66.82 KB
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AUR.csv
16.68 KB
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combined.csv
32.81 KB
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README.md
1.08 KB
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UMB.csv
16.25 KB
Abstract
Auraptene (AUR) and umbelliprenin (UMB) are naturally occurring prenylated coumarins that have demonstrated promising anticancer effects across various human cancer cell lines. This meta-analysis aimed to systematically assess, compare, and quantify the anticancer efficacy of AUR and UMB by synthesizing evidence from in vitro studies. A comprehensive literature search identified 27 eligible studies investigating AUR or UMB against cancer cells. Mixed-effects models revealed significant negative associations between coumarin dose and viability for AUR (est. = − 2.27) and UMB (est. = − 3.990), underscoring their dose-dependent cytotoxicity. Meta-regression indicated slightly higher potency for UMB over AUR, potentially due to increased lipophilicity imparted by additional isoprenyl units. Machine learning approaches identified coumarin dose and cancer type as the most influential determinants of toxicity, while treatment duration and the specific coumarin displayed weaker effects. Moderate (AUR) to substantial (UMB) between-study heterogeneity was detected, although the findings proved robust. In summary, this meta-analysis establishes AUR and UMB as promising natural anticancer candidates with clear dose-toxicity relationships across diverse malignancies. The structural insights and quantifications of anticancer efficacy can inform forthcoming efforts assessing therapeutic potential in pre-clinical models and human trials.
Introduced by Shakiba et al. in Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis
Data Contents
The dataset is provided as three CSV files: one for AUR, one for UMB, and one combined with the following columns:
author: First author's last name from publicationyear: Publication yearcancerType: Cancer type examinedcellLine: Specific cell line utilizedtime: Treatment duration (in hours)coumarin: Coumarin used (AUR or UMB)coumarinDose: Dosage of coumarin (in μM)viability: Mean viability (%) in treatment groupviabilitySD: Standard deviation of treatment group viabilityviabilityN: Number of repeats in treatment groupcontrol: Mean viability (%) in control groupcontrolSD: Standard deviation of control group viabilitycontrolN: Number of repeats in control group
The codes utilized in the paper are available at: https://github.com/moneuron/srep-meta-codes
- Shakiba, Mohammadhosein; Rassouli, Fatemeh B. (2024), Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis, Scientific Reports, Journal-article, https://doi.org/10.1038/s41598-024-62747-z
