Sézary syndrome patient-derived models allow drug selection for personalized therapy

Fernando Gallardo1, Evelyn Andrades1, Arnau Iglesias2

  • 1Dermatology Department, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain.

Blood Advances
|April 12, 2022
PubMed

Insights

Personalized treatments for Sézary syndrome (SS) are needed due to limited survival rates. This study explores patient-derived xenografts (PDX) and drug sensitivity testing to identify targeted therapies for SS.

Area of Science:

  • Oncology
  • Dermatology
  • Pharmacology

Background:

  • Current Sézary syndrome (SS) therapies offer limited long-term survival benefits, primarily managing symptoms.
  • The genetic and molecular heterogeneity of SS poses a significant challenge to effective treatment and eradication.
  • There is an urgent need for personalized and effective therapeutic strategies for SS patients.

Purpose of the Study:

  • To compile methods for generating and managing Sézary syndrome patient-derived xenografts (PDX).
  • To evaluate drug sensitivity of SS cells against various pathway inhibitors.
  • To validate potential targeted therapies using in vitro and in vivo models.

Main Methods:

  • Mononuclear cells from 11 SS patients were isolated using Ficoll gradient separation.
  • In vitro drug sensitivity testing was performed on 26 compounds targeting key SS signaling pathways (NF-kB, MAPK, HDAC, mTOR, JAK/STAT).
  • Cell viability was assessed using CellTiter-Glo_3D assay and flow cytometry; positive hits were validated in SS PDX models in NOD-SCID-γ mice.

Main Results:

  • In vitro testing demonstrated differential sensitivity of SS cells to specific pathway inhibitors.
  • In vivo validation in SS PDX models largely corroborated in vitro findings, particularly for the histone deacetylase inhibitor panobinostat.
  • Patient-specific responses to targeted therapies were observed.

Conclusions:

  • High-throughput in vitro drug screening followed by PDX in vivo validation offers a promising approach for patient-specific targeting of SS tumor cells.
  • This strategy holds potential for developing more effective and personalized treatments for Sézary syndrome.
  • Further research into PDX models can accelerate the development of novel therapeutic strategies for SS.

Related Concept Videos

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.1K
EPS and iPS Cells in Disease Research01:21

EPS and iPS Cells in Disease Research

Embryonic and induced pluripotent stem cells are excellent models for disease research because of their ability to self-renew and differentiate into most cell types. Somatic cells from a patient are isolated and reprogrammed into induced pluripotent stem cells or iPSCs. These iPSCs are later differentiated into the desired cell type, which mirrors the diseased cell of the patient. In this way, disease models have been created for investigating diseases such as Down syndrome, type I diabetes,...
2.9K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.1K