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Biomarker Discovery in Patients with Immunotherapy-Treated Melanoma with Imaging Mass Cytometry.
Martinez-Morilla, Sandra; Villarroel-Espindola, Franz; Wong, Pok Fai; Toki, Maria I; Aung, Thazin Nwe; Pelekanou, Vasiliki; Bourke-Martin, Brian; Schalper, Kurt A; Kluger, Harriet M; Rimm, David L.
Afiliação
  • Martinez-Morilla S; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Villarroel-Espindola F; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Wong PF; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Toki MI; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Aung TN; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Pelekanou V; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Bourke-Martin B; Navigate BioPharma Services, Inc., Carlsbad, California.
  • Schalper KA; Department of Pathology, Yale School of Medicine, New Haven, Connecticut.
  • Kluger HM; Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
  • Rimm DL; Department of Pathology, Yale School of Medicine, New Haven, Connecticut. david.rimm@yale.edu.
Clin Cancer Res ; 27(7): 1987-1996, 2021 04 01.
Article em En | MEDLINE | ID: mdl-33504554
ABSTRACT

PURPOSE:

Imaging mass cytometry (IMC) is among the first tools with the capacity for multiplex analysis of more than 40 targets, which provides a novel approach to biomarker discovery. Here, we used IMC to characterize the tumor microenvironment of patients with metastatic melanoma who received immunotherapy in efforts to find indicative factors of treatment response. In spite of the new power of IMC, the image analysis aspects are still limited by the challenges of cell segmentation. EXPERIMENTAL

DESIGN:

Here, rather than segment, we performed image analysis using a newly designed version of the AQUA software to measure marker intensity in molecularly defined compartments tumor cells, stroma, T cells, B cells, and macrophages. IMC data were compared with quantitative immunofluorescence (QIF) and digital spatial profiling.

RESULTS:

Validation of IMC results for immune markers was confirmed by regression with additional multiplexing methods and outcome assessment. Multivariable analyses by each compartment revealed significant associations of 12 markers for progression-free survival and seven markers for overall survival (OS). The most compelling indicative biomarker, beta2-microglobulin (B2M), was confirmed by correlation with OS by QIF in the discovery cohort and validated in an independent published cohort profiled by mRNA expression.

CONCLUSIONS:

Using digital image analysis based on pixel colocalization to assess IMC data allowed us to quantitively measure 25 markers simultaneously on formalin-fixed, paraffin-embedded tissue microarray samples. In addition to showing high concordance with other multiplexing technologies, we identified a series of potentially indicative biomarkers for immunotherapy in metastatic melanoma, including B2M.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Citometria por Imagem / Microambiente Tumoral / Inibidores de Checkpoint Imunológico / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Citometria por Imagem / Microambiente Tumoral / Inibidores de Checkpoint Imunológico / Melanoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Clin Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2021 Tipo de documento: Article