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Targeting fibroblast–endothelial cell interactions in LAM pathogenesis using 3D spheroid models and spatial transcriptomics
Sinem Koc-Gunel, Emily C. Liu, Lalit K. Gautam, Ben A. Calvert, Shubha Murthy, Noa C. Harriott, Janna C. Nawroth, Beiyun Zhou, Vera P. Krymskaya, Amy L. Ryan
Sinem Koc-Gunel, Emily C. Liu, Lalit K. Gautam, Ben A. Calvert, Shubha Murthy, Noa C. Harriott, Janna C. Nawroth, Beiyun Zhou, Vera P. Krymskaya, Amy L. Ryan
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Research Article Cell biology Pulmonology

Targeting fibroblast–endothelial cell interactions in LAM pathogenesis using 3D spheroid models and spatial transcriptomics

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Abstract

Lymphangioleiomyomatosis (LAM) is a progressive lung disease with limited treatments, largely because of an incomplete understanding of its pathogenesis. Lymphatic endothelial cells (LECs) invade LAM cell clusters, which include human melanoma black-45–positive epithelioid cells and smooth muscle α-actin–expressing LAM-associated fibroblasts (LAMFs). Recent evidence shows that LAMFs resemble cancer-associated fibroblasts, with LAMF-LEC interactions contributing to disease progression. To explore these mechanisms, we used spatial transcriptomics on LAM lung tissues and identified a gene cluster enriched in kinase signaling pathways linked to myofibroblasts and coexpressed with LEC markers. Kinase arrays revealed elevated PDGFR and FGFR in LAMFs. Using a 3D coculture spheroid model of primary LAMFs and LECs, we observed increased invasion in LAMF-LEC spheroids compared with non-LAM fibroblasts. Treatment with sorafenib, a multikinase inhibitor, significantly reduced invasion, outperforming rapamycin. We also verified tuberous sclerosis complex 2–deficient renal angiomyolipoma (TSC2-null AML) cells as key VEGF-A secretors; VEGF-A was suppressed by sorafenib in both TSC2-null AML cells and LAMFs. These findings highlight VEGF-A and basic FGF as potential therapeutic targets and suggest multikinase inhibition as a promising strategy for LAM.

Authors

Sinem Koc-Gunel, Emily C. Liu, Lalit K. Gautam, Ben A. Calvert, Shubha Murthy, Noa C. Harriott, Janna C. Nawroth, Beiyun Zhou, Vera P. Krymskaya, Amy L. Ryan

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Figure 5

LAM-core–enriched gene signature maps to myofibroblasts in Azimuth: Human Lung v2 (HLCA) database.

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LAM-core–enriched gene signature maps to myofibroblasts in Azimuth: Huma...
(A and C) Spatial transcriptomic gene clusters from LAM_D1 and LAM_D2 tissues, respectively mapped to Lung v2 dataset for level 3 annotation, which refers to the classification of gene expression profiles into more refined cellular subtypes or functional states within the broader lung tissue hierarchy. (B and D) Spatial gene clusters represented by cell type signatures in human lung tissues for LAM_D1 and LAM_D2, respectively. (E and F) RCTD images representing LAM_D1 and LAM_D2 cell-associated gene expression. AF, alveolar fibroblasts; AdF, adventitial fibroblasts; AT1, alveolar type 1 cells; SM, smooth muscle cells; PF, peribronchial fibroblasts; AMs, alveolar macrophages. (G and H) Violin plots for LAM_D1 tissues showing relative gene expression of LAM-core genes and LEC gene PDPN with the highest expression in cluster 7 (G) mapping to myofibroblasts (H).

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