# LightSpot Fluorescent Conjugates as Highly Efficient Tools for Lysosomal P-gp Quantification in Olaparib-Treated Triple-Negative Breast Cancer Cells

## TL;DR

New fluorescent compounds detect P-gp in lysosomes of breast cancer cells, revealing a drug resistance mechanism.

## Contribution

Introduces LightSpot fluorescent compounds for quantifying lysosomal P-gp in cancer cells.

## Key findings

- LightSpot compounds effectively stain lysosomal P-gp with high overlap with LAMP2.
- Olaparib treatment increases lysosomal P-gp levels in breast cancer cells.
- P-gp relocation to lysosomes suggests a dual resistance mechanism.

## Abstract

P-glycoprotein (P-gp) is a key element of cancer treatment resistance, actively extruding cytotoxic drugs from cells and diminishing their efficacy. While its role at the plasma membrane is well established, its intracellular localization, particularly on lysosomes, is increasingly recognized as a critical contributor to drug resistance. This study investigates four innovative LightSpot fluorescent compounds to detect and quantify both membrane and lysosomal P-gp in Triple-Negative Breast Cancer (TNBC) SUM1315 and DU4475 cell lines. Results highlighted lysosomal P-gp staining by the LightSpot-FL-1, LightSpot-BrX-1, and LightSpot-BdO-1 fluorescent compounds (Mander’s coefficients > 0.8 overlapping with LAMP2 immunostaining). After both cell lines were exposed to Olaparib, a significant increase in P-gp expression level and lysosomal distribution of P-gp was detected. Indeed, after 100 µM Olaparib exposure, LightSpot-FL-1 allowed us to quantify an increase in P-gp-positive lysosome number of 1293 and 334% for SUM1315 and DU4475 cells, respectively, compared to the control. Findings suggest that P-gp may relocate to lysosomes upon drug exposure, highlighting a dual resistance mechanism involving both membrane and lysosomal P-gp. This study demonstrated the potential of LightSpot fluorescent compounds to evaluate P-gp-mediated cell resistance to treatment and emphasized the need to assess global cell P-gp expression to improve cancer diagnosis.