Abstract

Simple SummaryTumoral drug resistance is mainly caused by multidrug resistance transporters (MDR), such as the P-gp, which presents high clinical interest. For this reason, the P-gp-mediated drug resistance diagnosis may be very relevant for optimizing anticancer treatment efficacy. However, the lack of effective analytical tools limits this clinical diagnostic approach. Therefore, our group has developed LightSpot®-FL-1, a new cell-permeant fluorescent probe able to specifically localize and quantify the P-gp inside unicellular, monolayer, and cellular mass models. The application of this innovative tool was firstly demonstrated in the preclinical field, using five triple-negative breast cancer (TNBC) cell models. The comparison between classical anti-P-gp immunostaining and LightSpot®-FL-1 P-gp staining highlighted a strong similarity with P-gp localization and expression level quantification. LightSpot®-FL-1 P-gp detection and quantification, using several fluorescence imaging methods, are easy, direct, and cost-effective and are, therefore, very promising for future clinical diagnosis development.P-gp is the most widely studied MDR protein conferring cellular resistance to many standard or targeted therapeutic agents. For this reason, P-gp chemoresistance evaluation, established before or during chemotherapy, can be very relevant in order to optimize the efficacy of treatments, particularly for aggressive tumoral subtypes such as triple-negative breast cancer (TNBC). In this context, our team developed an innovative cell-permeant fluorescent probe called the LightSpot®-FL-1, which is able to specifically localize and quantify the P-gp in cells or cell masses, as evidenced on different TNBC cell models. First, flow cytometry analysis showed LightSpot®-FL-1 cell penetration and persistence in time, in TNBC cells. Then, LightSpot®-FL-1 staining was compared to anti-P-gp immunostaining by fluorescence microscopy on five TNBC cell lines. Results showed a clear similarity of P-gp localization and expression level, confirmed by Pearson’s and Mander’s colocalization coefficients with 92.1% and 100.0%, and a strong correlation coefficient of R2 = 0.99. In addition, the LightSpot®-FL-1 staining allowed the quantification of a P-gp induction (33% expression increase) following a 6-hour spheroid model exposure to the anti-PARP Olaparib. Thus, the new LightSpot®-FL-1 cell-permeant probe, targeting P-gp, appears to be an effective tool for drug resistance evaluation in preclinical models and shows promising possibilities for future use in clinical diagnosis.

Highlights

  • The permeability-glycoprotein (P-gp) was discovered about forty years ago, initially as a membrane transporter at the origin of chemoresistance in cancer [1]

  • The development of a tumoral multidrug resistance profile represents a real obstacle in cancer treatment, frequently leading to therapeutic failure [8]

  • Various molecular mechanisms are involved in multidrug resistance, including membrane efflux triggered by multidrug resistance” (MDR) proteins [7]

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Summary

Introduction

The permeability-glycoprotein (P-gp) was discovered about forty years ago, initially as a membrane transporter at the origin of chemoresistance in cancer [1]. MDR transporters are considered to be an essential part of the innate cellular defense system, called the “chemoimmunity” network, that presents various characteristics reminiscent of classical immunology [12] This system is complex because a single MDR transporter can recognize a wide variety of substrates, and one anticancer agent can be the target of several transporters. As a matter of fact, TNBC tumors are, at first, sensitive to chemotherapy, but a high proportion becomes resistant during treatment and presents difficulties for achieving a complete pathological response This phenomenon is called the “triple-negative paradox” and explains why TNBC represents a relevant study model for cancer-cell drug resistance [17,27]. The proof of concept was established on several unicellular, monolayer or spheroid TNBC models and a microscopy-based methodology was performed to explore native or induced P-gp expression on those models

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