Standardized assays to monitor drug sensitivity in hematologic cancers

Pilar Ayuda-Durán1,2, Johanne U Hermansen3,4, Mariaserena Giliberto3,4

  • 1Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.

Cell Death Discovery
|December 1, 2023
PubMed

Insights

Optimized drug sensitivity testing protocols for hematologic cancers like AML, CLL, and MM improve ex vivo accuracy. These validated methods aid in real-time treatment guidance and standardization for better patient outcomes.

Area of Science:

  • Hematology
  • Cancer Biology
  • Pharmacology

Background:

  • Drug sensitivity testing precisely measures cancer cell responses to various drugs.
  • Technological advancements enhance the clinical relevance of drug screening for hematologic cancers.
  • Primary cancer cells, such as chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), require specific culture conditions for accurate ex vivo testing.

Purpose of the Study:

  • To present optimized and validated protocols for culturing and drug screening of primary cells from acute myeloid leukemia (AML), CLL, and MM patients.
  • To provide a generic protocol for cell line models.
  • To discuss drug library designs, reproducibility, and quality control measures.

Main Methods:

  • Development and validation of unique microenvironmental stimuli for culturing primary AML, CLL, and MM cells.
  • Implementation of drug sensitivity assays to measure cell viability.
  • Establishment of quality control measures and discussion of drug library design.

Main Results:

  • Optimized and validated protocols for culturing and drug screening of primary AML, CLL, and MM cells are presented.
  • A generic protocol for cell line models was developed.
  • Considerations for drug library design, reproducibility, and quality control were discussed.

Conclusions:

  • The presented protocols can serve as community guidelines for standardizing drug sensitivity assays in hematologic cancers.
  • These assays offer real-time insights into tumor biology, treatment resistance, and sensitivity.
  • The findings aim to guide clinical decision-making for improved patient care.