Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma

Multiplex immunofluorescence (mIF) is a promising tool for immunotherapy biomarker discovery in melanoma and other solid tumors. mIF captures detailed phenotypic information of immune cells in the tumor microenvironment, as well as spatial data that can reveal biologically relevant interactions among cell types. Given the complexity of mIF data, the development of automated analysis pipelines is crucial for advancing biomarker discovery. In pre-treatment melanoma samples from 50 patients treated with immune checkpoint inhibitors (ICIs), a higher stromal B cell percentage is associated with the clinical benefit of ICI therapy. The automatic detection of B cell aggregates with DBSCAN, a novel application of a computer-aided machine learning algorithm, demonstrates the potential for enhanced accuracy compared to pathologist assessment of lymphoid aggregates. TCF1<sup>+</sup> and LAG3<sup>-</sup> T cell subpopulations are enriched near stromal B cells, suggesting potential functional interactions. These analyses provide a roadmap for the further development of spatial immunotherapy biomarkers in melanoma and other diseases.

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Publication Details

Journal
Cell Reports
Published
2025-04-01
DOI
https://doi.org/10.1016/j.celrep.2025.115554
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.05

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article

Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma

Katherine S. Panageas, Jasme Lee, Margaret K. Callahan, Michael Andrew Postow et al.
1 citations
Cell Reports
Cancer Immunotherapy and Biomarkers
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article

Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma

Katherine S. Panageas, Jasme Lee, Margaret K. Callahan, Michael Andrew Postow, Mohammad Yosofvand, Yanyun Li, Mingqiang Zhuang, Travis J. Hollmann, Xiyu Peng, Ronglai Shen, James William Smithy, Nathaniel Aleynick, Andrea P. Moy, MaryLena Bleile, Colleen Maher, R. Vanguri, Fiona Ehrich
article en
1 citations

Abstract

Multiplex immunofluorescence (mIF) is a promising tool for immunotherapy biomarker discovery in melanoma and other solid tumors. mIF captures detailed phenotypic information of immune cells in the tumor microenvironment, as well as spatial data that can reveal biologically relevant interactions among cell types. Given the complexity of mIF data, the development of automated analysis pipelines is crucial for advancing biomarker discovery. In pre-treatment melanoma samples from 50 patients treated with immune checkpoint inhibitors (ICIs), a higher stromal B cell percentage is associated with the clinical benefit of ICI therapy. The automatic detection of B cell aggregates with DBSCAN, a novel application of a computer-aided machine learning algorithm, demonstrates the potential for enhanced accuracy compared to pathologist assessment of lymphoid aggregates. TCF1<sup>+</sup> and LAG3<sup>-</sup> T cell subpopulations are enriched near stromal B cells, suggesting potential functional interactions. These analyses provide a roadmap for the further development of spatial immunotherapy biomarkers in melanoma and other diseases.

Cell ReportsVol. 44(4)
Memorial Sloan Kettering Cancer Center (US), University of Connecticut (US), Cornell University (US), Bristol-Myers Squibb (United States) (US), New York University (US), Texas A&M University (US)
V Foundation for Cancer Research, Memorial Sloan-Kettering Cancer Center, National Cancer Institute
Zero hunger
Openalex Percentile: Top 23%
Cancer Immunotherapy and Biomarkers
1.05
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