The use of cytological material in melanoma for programmed death ligand 1 immunostaining

Eva Bashover1, Aileen Grace Arriola1, Cicily T Joseph1

  • 1Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Abstract

Insights

Cytological specimens, especially conventional cell blocks, are effective for assessing programmed death-ligand 1 (PD-L1) in melanoma. A lower PD-L1 threshold (≥1%) may improve accuracy in cytological evaluations.

Area of Science:

  • Oncology
  • Immunology
  • Pathology

Background:

  • Immune therapies for advanced melanoma have surged since 2014.
  • Histological material is the standard for evaluating programmed death-ligand 1 (PD-L1) via immunoperoxidase (IPOX) studies.
  • Optimizing tissue utilization for PD-L1 testing requires validation of cytological specimens.

Purpose of the Study:

  • To assess the utility of cytological specimens for PD-L1 evaluation in melanoma.
  • To compare PD-L1 assessment in cytological samples with corresponding surgical biopsies.
  • To determine optimal cut-offs for PD-L1 evaluation in cytological material.

Main Methods:

  • Twenty-three melanoma surgical biopsies (SBx) and corresponding cytological specimens were analyzed.
  • PD-L1 expression was assessed using immunoperoxidase (IPOX) staining with clone 28-8.
  • Tumor proportion scores (TPS) were generated and compared between SBx and cell-transfer cell blocks (CBs) and conventional CBs.

Main Results:

  • Conventional cell blocks showed high overall agreement (88.9%) with surgical biopsies at a ≥1% TPS cut-off.
  • Agreement varied with different cut-offs and cell block types, with cell-transfer CBs showing lower concordance.
  • Negative percent agreement was consistently high across all comparisons.

Conclusions:

  • Cytological material, particularly conventional cell blocks, serves as a viable alternative for PD-L1 assessment in melanoma.
  • A lower PD-L1 threshold (≥1%) may be more suitable for cytological specimens.
  • This finding supports optimizing tissue utilization in diagnostic testing.

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