Fluorescence-enhanced photodynamic assessments for human breast cancer cell characterizations

TL;DR

This study demonstrates the potential of fluorescence-enhanced photodynamic techniques to differentiate between primary and metastatic breast cancer cells, showing promise for early detection and characterization of cancer stages.

Contribution

It introduces a fluorescence-based method combined with PCA analysis to distinguish breast cancer cell stages with different cell counts and viability.

Findings

Fluorescence signals effectively differentiate cancer stages.

PCA analysis successfully classifies MDA cells based on fluorescence.

Decreased cell viability correlates with fluorescence signal reduction.

Abstract

The primary and metastatic stages of BC consider different cancerous cell lines (MDAs), meaning the highest number of cells in this research (300,000) represents the metastatic stages of BC, and 50,000 represents the primary level of BC developments have been studied based on fluorescence-enhanced photodynamic characterizations. The ability to characterize the fluorescence caused by MDA with 50,000 cells compared to the dominant radiation of MDA with 300,000 cells is emphatic proof of the high potential of fluorescence technique in timely BC detections. 5-ALA induces an accumulation of protoporphyrin IX (PpIX) photosensitizer through a biosynthetic pathway, leading to red radiation of fluorescence measurements. The fluorescence signal reduction due to decreased cell viability and increased MDA's cellular death rate corresponds to the changes in lipid metabolism enzymes of MDAs cultured at different doses. Furthermore, statistical concerns have been studied using PCA multivariate component analysis to differentiate MDA cells administrated by 5-ALA.