Multi-omic profiling of pleural effusions: a reservoir-incubator for non-invasive insights into tumor heterogeneity

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Authors: Paula Nieto, Ginevra Caratù, Maria Mulet, Maria Alba Sorolla, Virginia Pajares, Doménica Marchese, Ana Pardessus, Rubén Osuna‐Gómez, A Rafecas, Pere Serra, José M. Porcel, Sílvia Vidal
+2 more Holger Heyn, Juan Camilo Nieto
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Abstract

Pleural effusions (PEs) are common in advanced cancer and are routinely sampled for cytological evaluation; however, their full potential as a source of tumor and immune information remains underexplored. Although malignant PEs (MPEs) are increasingly used for liquid biopsy, their cellular complex interactions have not been resolved at high resolution. Here, we present the first comprehensive single-cell and multi-omic atlas of PEs, integrating scRNA-seq, TCR-seq and whole-exome sequencing with lung, breast, or ovarian cancer, as well as non-malignant heart failure controls. We profiled over 200,000 cells and identified more than 30 immune, stromal, and tumor subpopulations across disease contexts. The tumor cell signature in MPEs recapitulates the genomic and transcriptomic features of matched primary tumors, supporting their use for non-invasive tumor profiling. In contrast, immune landscapes varied by disease: lung cancer MPEs were enriched in exhausted CD8⁺ T cells, breast MPEs showed CD4⁺ T helper cell dominance, and ovarian and heart failure PEs harbored tissue-resident myeloid cell populations. These data reveal that PEs are dynamic, disease-specific ecosystems shaped by tumor-driven immune remodeling. By leveraging their cellular diversity, we position MPEs as a powerful platform for studying metastatic adaptation and immune responses in vivo, with direct implications for diagnostics, immune monitoring, and precision oncology.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Pleural and Pulmonary Diseases Cancer Immunotherapy and Biomarkers

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
29 January 2026
Document type
Preprint