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PURPOSE OF REVIEW: Lymphangioleiomyomatosis (LAM) is a systemic, low-grade, metastasizing neoplasm that predominantly affects women. This review demonstrates recent progression in this rare disease, from improved understanding of pathogenesis, to novel treatments. We provide an overview of recent advances that are shaping the future of LAM diagnostic and treatment approaches. RECENT FINDINGS: Understanding the role of hormonal pathways, immune system interactions, mechanistic target of rapamycin (mTOR) signalling inhibition and the LAM microenvironment is creating opportunities for combination therapies with curative potential. Evidence supporting the uterine origin of LAM cells has renewed interest in hormonal signalling pathways, while potential immune evasion mechanisms of LAM cells are under investigation. More complete blockade of mTOR pathways by newer generation agents, as well as research into the crosstalk between LAM cells and their surroundings is informing development of novel combination therapies with disease modifying potential. Biomarker identification beyond vascular endothelial growth factor D (VEGF-D) is essential for diagnostic, prognostic and treatment decision making. Cellular mapping using single-cell RNA sequencing and spatial transcriptomics, as well as integration of artificial intelligence into diagnostic and therapeutic development pathways, has the potential to significantly advance our understanding of this rare disease. SUMMARY: LAM research demonstrates how sustained investigation in rare disease can advance from preclinical mechanistic insights to targeted treatments. Understanding the role of hormonal pathways, immune system interactions, mTOR signalling inhibition and the microenvironment is creating opportunities for combination therapies with curative potential. Advancements in technology, including single cell analysis, spatial transcriptomics and artificial intelligence are accelerating the discover of biomarkers and therapeutic targets, positioning LAM for significant clinical advances in the coming years.
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Gupta et al. (2025) studied this question.
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