Publications by authors named "Yao-Yin Chang"
Lidocaine and Bupivacaine Downregulate MYB and lncRNA by Upregulating in MCF-7 Cells.
Front Med (Lausanne)
January 2022
Article Synopsis
- Breast cancer is a prevalent cancer in women and often requires surgery, with emerging evidence linking anaesthetic techniques to patient outcomes.
- The study explored how two local anaesthetics, lidocaine and bupivacaine, affect MCF-7 breast cancer cells, finding that they reduce cell proliferation and impact the expression of various microRNAs (miRNAs).
- The research identified a potential biomarker through next-generation sequencing and confirmed interactions between specific lncRNAs and miRNAs, suggesting that local anaesthetics may play a role in suppressing tumor growth via a particular molecular pathway.
Deep sequencing is an advanced technology in genomic biology to detect the precise order of nucleotides in a strand of DNA/RNA molecule. The analysis of deep sequencing data also requires sophisticated knowledge in both computational software and bioinformatics. In this chapter, the procedures of deep sequencing analysis of microRNA (miRNA) transcriptome in triple-negative breast cancer and adjacent normal tissue are described in detail.
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- MicroRNAs (miRNAs) play a significant role in triple-negative breast cancer, but their regulatory functions are not well understood.
- This study analyzed miRNA expression profiles from 24 triple-negative breast cancer samples and 14 normal tissues using deep sequencing, identifying a distinct 25-miRNA signature that differentiates cancerous tissues from normal ones.
- The research found specific miRNA clusters that were either up-regulated or down-regulated in triple-negative breast cancer, highlighting potential targets for further investigation in cancer progression.
Background: Triple-negative breast cancer is a subtype of breast cancer with aggressive tumor behavior and distinct disease etiology. Due to the lack of an effective targeted medicine, treatment options for triple-negative breast cancer are few and recurrence rates are high. Although various multi-gene prognostic markers have been proposed for the prediction of breast cancer outcome, most of them were proven clinically useful only for estrogen receptor-positive breast cancers.
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