Whole-slide multispectral imaging reveals the immune subtypes of melanoma associated with the tumor microenvironment: An automated 7-color mIF assay.

Authors

null

Bhavika Patel

Lanterne Dx, Boulder, CO

Bhavika Patel , Stephanie Allen , Brittney Boldt , Noah Ramirez , Najiba Mammadova , Agnes Haggerty , Navi Mehra

Organizations

Lanterne Dx, Boulder, CO, Akoya Biosciences, Inc., Menlo Park, CA

Research Funding

No funding received

Background: Immunotherapy and precision medicine are rapidly developing approaches to cancer therapy. Biomarkers that detect the tumor and tumor microenvironment allow for the development of strategies that accelerate the advancement of treatments to enhance a patient’s immune system. Akoya’s MOTiF PD-1/PD-L1 Auto Melanoma Kit is a validated, multiplex immunoassay enabling detection of the 6 most clinically relevant immuno-oncology and spatial biomarkers: FoxP3, PD-L1, Sox10/S100, PD-1, CD8 and CD68. Methods: In this study, the MOTiF PD-1/PD-L1 panel was used to analyze the tumor microenvironment and specifically assess immune phenotypes within melanoma samples from 3 patients. This study demonstrates a fully optimized and end-to-end workflow solution for biomarker discovery in melanoma. Results: We demonstrate the utility of Akoya’s MOTiF PD-1/PD-L1 Melanoma panel kit in studying the cellular diversity while retaining spatial context. Stained slides were analyzed using the InForm and Phenoptr Reports image analysis platforms to identify phenotypes and better understand spatial relationships between cell phenotypes. The MOTiF PD-1/PD-L1 panel kit provides reproducibility across different patient samples. Conclusions: This data provides insight into the innate and adaptive immune landscape for targeted design of new immunotherapies as well as improved efficacy and reduced toxicity in the treatment of melanoma.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Other Melanoma/Skin Cancers

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e21591)

DOI

10.1200/JCO.2022.40.16_suppl.e21591

Abstract #

e21591

Abstract Disclosures

Similar Abstracts

First Author: Bhavika Patel

Abstract

2023 ASCO Annual Meeting

A cilia-related marker predicting suitability for immunotherapy in melanoma.

First Author: Changbin Zhu