From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis

• URL: http://arxiv.org/abs/2512.08572v1
• Date: Tue, 09 Dec 2025 13:10:12 GMT
• Title: From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
• Authors: Olle Edgren Schüllerqvist, Jens Baumann, Joakim Lindblad, Love Nordling, Artur Mezheyeuski, Patrick Micke, Nataša Sladoje,
• Abstract summary: HiGINE is a hierarchical graph-based approach to predict patient survival from TME characterization in multiplex immunofluorescence (mIF) images.<n>Our model encodes both local and global inter-relations in cell neighborhoods, incorporating information about cell types and morphology.<n>We validate HiGINE on two public datasets, demonstrating improved risk stratification, robustness, and generalizability.
• Score: 0.9046327456472286
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The tumor microenvironment (TME) has emerged as a promising source of prognostic biomarkers. To fully leverage its potential, analysis methods must capture complex interactions between different cell types. We propose HiGINE -- a hierarchical graph-based approach to predict patient survival (short vs. long) from TME characterization in multiplex immunofluorescence (mIF) images and enhance risk stratification in lung cancer. Our model encodes both local and global inter-relations in cell neighborhoods, incorporating information about cell types and morphology. Multimodal fusion, aggregating cancer stage with mIF-derived features, further boosts performance. We validate HiGINE on two public datasets, demonstrating improved risk stratification, robustness, and generalizability.

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