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In-Depth Patient-specific Analysis of Tumor Heterogeneity in Melanoma Brain Metastasis: Insights from Spatial Transcriptomics and Multi-Region Bulk Sequencing

ABSTRACT: Melanoma brain metastasis (MBM) response to treatment varies greatly among patients, affecting overall prognosis and survival. This study aims to provide a comprehensive multi-omics overview of MBM by investigating tumor tissue composition at spatial, proteomic and transcriptomic levels, elucidating the spatial tumor landscape, characterizing tumor tissue cell populations and identifying enriched signaling pathways in the MBM tumor tissue. We found higher inter-tumoral heterogeneity than intra-tumoral heterogeneity in MBM at the protein and transcriptional levels. The treatment-naive patient exhibited high intra-tumoral heterogeneity (ITH) compared to patient who received treatment, with ITH levels varying across neighboring regions in all patient tumors. Significant global protein and cell type enrichment associated with malignant cells, macrophages, CAFs, and immune cells was observed in MBM using cellular deconvolution and tumor microenvironment (TME) analysis. The presence of MBM cell-type specific gene signatures, and enriched pathways identified using ST and bulk-seq provide an essential framework for understanding tumor composition and potential treatment-related effects in each MBM patient tumor. Taken together, our results provide a comprehensive spatial and molecular view of intra-tumoral and inter-tumoral heterogeneity in MBM, potentially guiding personalized treatment strategies in MBM therapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE275731 | GEO | 2025/07/17

REPOSITORIES: GEO

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Project description:The diversity of cell-cell interactions in different regions of a tumor reflects the functional heterogeneity of cancer, which poses challenges in early diagnosis, selection of treatment strategies, and prognosis of breast cancer. Cancer cells interact with each other to form different morphological structures in the tumor and stromal host cells via integrins. The objective of this study was to characterize the morphological and spatial heterogeneity of primary breast tumors in the context of expression profiles of integrins and their ligands. We studied spatial transcriptomics using the 10X Visium approach and the NICHES algorithm to map ligand-receptor signaling pathways and visualize the heterogeneity of signaling archetypes in tumor clusters. Cluster analysis of the expression profiles of tumor spots from the samples indicated pronounced inter-tumoral heterogeneity. Integrin-ligand functional clusters were associated with intratumoral heterogeneity, which was manifested by the presence of several morphological loci as observed in histological tumor samples. Inter-tumoral heterogeneity was manifested by a different number of functional clusters, ranging from 2 to 9 for each tumor sample. The main characteristic of these clusters was the significant predominance of non-complementary integrin subunits. Of the 42 functional integrin-ligand pairs in 21 clusters of five samples, 41 pairs occurred only once. The exception was the LAMA5-ITGB4 pair, which was detected in two clusters of different samples. The spatial heterogeneity of integrin-ligand expression clusters in breast cancer contributes significantly to the functional heterogeneity of the tumor, which sets the stage for many scenarios of parenchymatous-stromal relationships, some of which may be effective in the emergence of metastasizing tumor seed cells. The intra- and inter-tumoral spatio-functional heterogeneity of the tumor tissue that we discovered may largely explain why it is difficult to achieve success in most patients with breast cancer using any therapeutic strategy targeting one molecule of the vast array, regardless of the importance of its pathogenetic significance.

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In-Depth Patient-specific Analysis of Tumor Heterogeneity in Melanoma Brain Metastasis: Insights from Spatial Transcriptomics and Multi-Region Bulk Sequencing

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