Multidimensional Omics Analysis in Malignant Pleural Mesothelioma

Malignant Pleural Mesothelioma (MPM) is a rare and highly aggressive malignancy characterized by poor prognosis and limited therapeutic options. Most patients are diagnosed at an advanced, unresectable stage, with a median overall survival of approximately one year. Although the introduction of immune checkpoint inhibitors (ICIs) has represented a significant advancement, a substantial proportion of patients fail to derive meaningful clinical benefit. The lack of reliable prognostic and predictive biomarkers, together with marked molecular heterogeneity and limited understanding of disease biology, significantly hampers the development of effective therapeutic strategies. MPM is strongly associated with chronic inflammation driven by asbestos exposure, which profoundly alters the pleural microenvironment. Within this context, tumor cells and immune cells engage in dynamic and reciprocal interactions, generating a complex ecosystem that promotes disease progression and the emergence of aggressive phenotypes. The ability of tumor cells to modulate immune system activity is considered a key driver of MPM pathogenesis. This study aims to comprehensively characterize the organization of the tumor-infiltrating immune system and the dynamic interactions between tumor and immune cells. To achieve this goal, an integrative and multidimensional omics approach will be employed to generate a high-resolution map of MPM ecosystem and to identify novel biomarkers and potential therapeutic targets. This is an exploratory, non-interventional, non-pharmacological study with both prospective and retrospective components, conducted exclusively on biological samples collected during routine clinical practice. The study population will be structured into three complementary cohorts. A training prospective cohort (C1 - Training Set) including newly diagnosed MPM patients from whom fresh frozen (FF) tumor samples will be collected from diagnostic biopsies, surgical resections, or malignant pleural effusions, enabling in-depth characterization of the tumor and immune microenvironment. A validation independent retrospective cohort (C2 - Validation Set) including MPM samples collected between 2015 and 2022 and used to validate findings obtained in the training cohort. A nested cohort within C1 (C3 - HITHOC Set) that will include patients undergoing surgery combined with hyperthermic intrathoracic chemotherapy (HITHOC), allowing investigation of tumor-immune interactions and treatment response mechanisms in this specific clinical setting. By integrating data across these three cohorts, the study aims to identify immune-related markers associated with tumor aggressiveness, discover novel targets for next-generation immunotherapies, and characterize mechanisms underlying response to chemotherapy, with particular focus on the HITHOC setting. Expected outcomes include improved understanding of MPM biology, identification of novel biomarkers, and optimization of immunotherapy strategies, ultimately contributing to the development of more effective and personalized treatments for patients affected by this disease.

• Immune-related gene signatures by whole transcriptome sequencing (normalized counts). [Time frame: 36 months]
• Immune-phenotyping by multiple parametric cytofluorimetry (cell counts) [Time frame: 36 months]
• Analysis of circulating cytokines by bead-based multiplex assays (concentration micrograms/microliter) [Time frame: 36 months]
• Association between immune features and clinical outcomes by correlation between gene expression (normalized, cell counts and/or concentration counts) and overall survival (months) [Time frame: 36 months]
• Association between transcriptional signatures and pathological response to chemotherapy by correlation of gene expression (normalized counts) and response to therapy (time to progression -months) [Time frame: 36 months]