Journal of the Egyptian National Cancer Institute · 2025
Transcriptional landscape of pleural mesothelioma patients in relation to NF2 gene mutational status.
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Orozco-Castaño Carlos, Mejía-Garcia Alejandro, Tsao Hsuan Megan, Bonilla Diego A, Carvajal-Fierro Carlos, Bruges-Maya Ricardo, Combita Alba, Parra-Medina Rafael
Аннотация
BACKGROUND: Pleural mesothelioma (PM) is an aggressive cancer with poor prognosis, often driven by asbestos exposure. Mutations in the NF2 gene, a key regulator of the Hippo signaling pathway, are frequently observed in PM. However, their impact on tumor biology, immune infiltration, cytokine signaling, and therapeutic response remains poorly understood.
METHODS: Using data from The Cancer Genome Atlas, we analyzed 82 PM cases to assess the prevalence and consequences of NF2 mutations. Logistic regression was used to evaluate associations with clinical variables, while transcriptomic differences were examined through differential expression and functional enrichment analyses. Immune and stromal infiltration were inferred via the xCell algorithm, cytokine signaling analyzed with Cytosig, and chemotherapeutic sensitivity predicted using the pRRophetic R package. Single-cell RNA sequencing data provided further insights into transcriptional patterns in NF2-mutated tumors.
RESULTS: NF2 mutations were present in 22% of cases, with no significant correlations to histological subtype, stage, or age. NF2-mutated tumors exhibited increased infiltration of basophils, naïve B cells, and pericytes, along with altered cytokine profiles, including NRG1, TGFB3, and reduced FGF2. Differentially expressed genes, such as MYL7 and HOXA11, were linked to poorer survival. Chemotherapy modeling indicated higher sensitivity to camptothecin and vinblastine in NF2-mutated tumors.
CONCLUSIONS: NF2 mutations influence the tumor microenvironment, transcriptional landscape, and predicted therapeutic response in PM, underscoring their potential as prognostic biomarkers. These findings support tailored therapeutic strategies targeting NF2-related pathways, including Hippo signaling and cytokine modulation.
METHODS: Using data from The Cancer Genome Atlas, we analyzed 82 PM cases to assess the prevalence and consequences of NF2 mutations. Logistic regression was used to evaluate associations with clinical variables, while transcriptomic differences were examined through differential expression and functional enrichment analyses. Immune and stromal infiltration were inferred via the xCell algorithm, cytokine signaling analyzed with Cytosig, and chemotherapeutic sensitivity predicted using the pRRophetic R package. Single-cell RNA sequencing data provided further insights into transcriptional patterns in NF2-mutated tumors.
RESULTS: NF2 mutations were present in 22% of cases, with no significant correlations to histological subtype, stage, or age. NF2-mutated tumors exhibited increased infiltration of basophils, naïve B cells, and pericytes, along with altered cytokine profiles, including NRG1, TGFB3, and reduced FGF2. Differentially expressed genes, such as MYL7 and HOXA11, were linked to poorer survival. Chemotherapy modeling indicated higher sensitivity to camptothecin and vinblastine in NF2-mutated tumors.
CONCLUSIONS: NF2 mutations influence the tumor microenvironment, transcriptional landscape, and predicted therapeutic response in PM, underscoring their potential as prognostic biomarkers. These findings support tailored therapeutic strategies targeting NF2-related pathways, including Hippo signaling and cytokine modulation.