Salvia Pratensis Anti-Cancer Effects in Triple-Negative Breast Cancer via miR-34a-5p
by Clarissa Gervasoni·Updated 3mo ago
3.3 MB1files
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Description
A figshare-hosted research article by Clarissa Gervasoni, published in March 2026, details in vitro experiments on triple-negative breast cancer cells. The 3.3 MB PDF describes the anti-cancer effects of Salvia pratensis leaf extract, profiling its phytochemicals and linking its activity to miR-34a-5p signaling. The study includes results on cell viability, proliferation, migration, and gene expression analyses from treated MDA-MB-231 and MCF 10A cell lines.
Use Cases
Identify potential phytochemical biomarkers for anti-cancer activity based on the UPLC-ESI-HRMS profiling described.
Study the regulatory role of miR-34a-5p in cancer cell pathways using the gene expression data referenced.
Model the relationship between oxidative stress (ROS) and apoptosis induction in treated cancer cells as discussed in the results.
Correlate specific plant-derived compounds like rosmarinic acid with changes in cancer cell proliferation and migration metrics.
Strengths
Data is associated with a specific, peer-reviewed research methodology including UPLC-ESI-HRMS and RT-qPCR.
The study links experimental findings to patient survival analysis, adding clinical relevance.
The resource is openly licensed under CC-BY-4.0 for reuse.
Limitations
The primary data (e.g., raw gene expression values, cell counts) is embedded within a PDF, requiring extraction for computational analysis.
Row count and column-level documentation for any underlying datasets are unknown.
The dataset's scale is limited to the specific cell lines and conditions described in the single study.
Provenance
Source
Clarissa Gervasoni, associated with the National Biodiversity Future Center initiative.
Collection Method
Experimental data generated from in vitro assays on TNBC and non-tumorigenic cell lines exposed to plant extracts.
Freshness
Last updated 2026-03-18.
Geography
Research focuses on valorizing Italy's plant biodiversity.
The dataset is a research article in PDF format; underlying tabular or numerical data may not be provided in a machine-readable form.