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Malignant Pleural Mesothelioma (MPM) is a heterogeneous disease. Morphologically, three different phenotypes are distinguishable: epithelioid (e-), sarcomatoid (s-) and biphasic (biph-) MPM, the latest, being a mixture of e-and s-MPM cells. Being an intermediate entity, management of biph-MPM, remains debatable and controversial, with different guidelines recommending distinct approaches. Identification of biph-MPM associated genetic alterations, through deep sequencing analysis, may provide useful tools to understand these lesions. A retrospective cohort of 69 surgically resected MPMs, 39 biph-MPMs (56.5%) and 30 e-MPMs (43.5%) was selected. A separate set of 16 biph-MPM was used as validation set. Deep sequencing analysis on an MPM-specific custom panel (MPM_geneset) comprising 1041 amplicons spanning 34 genes was performed. A total of 588 variants and 5309 mutational events were detected. In total, 91.3% of MPMs showed at least one mutation and 76.8% showed co-occurrence of more than one alteration. Mutations in MXRA5 (p = 0.05) and NOD2 (p = 0.018) were significantly associated with biph-MPM both in the training and validation cohort and correlated with the extent of the sarcomatoid component. Mutations in NOD2 and XRCC6 correlated with patients’ survival. We demonstrated that biph-MPM are associated with a specific mutation set, and that genetic analysis at diagnosis may improve patients’ risk stratification.

Objective: The best strategy of care for biphasic malignant pleural mesothelioma (Biph-MPM) is controversial. In this study, a large dataset of Biph-MPM cases was reviewed to identify prognostic factors and to evaluate the role of a multimodal approach, including cancer-directed surgery. Methods: A total of 213 patients with Biph-MPM treated at 4 tertiary centers who experienced MPM from January 2009 to December 2016 were selected, and clinical, pathologic, and surgical information was retrieved. A Cox regression model was used to identify predictors of survival, and the Kaplan–Meier method was used to summarize overall survival. Results: The mean age and the male/female ratio were 68.4 ± 9.5 years and 5:1, respectively. Tumors were assigned to stages I (127, 59.6%), II (3, 1.4%), III (76, 35.4%), and IV (7, 3.3%) according to the Eighth Tumor, Node, Metastasis (TNM) edition. A multimodal treatment including pleurectomy/decortication was performed in 58 patients (27.2%), chemotherapy alone in 99 patients (46.5%), and best supportive care in 56 (26.3%). The median overall survival was 11 months. A univariate analysis revealed that survival was significantly associated with the percentage forced expiratory volume in 1 second (P < .0001), performance status (P = .0002), multimodal treatment including surgery (P < .0001), and TNM stage (P = .011). A multivariable analysis confirmed performance status, percentage forced expiratory volume in 1 second, TNM, and a multimodal approach as independent variables affecting long-term survival. Conclusions: Despite the overall poor prognosis of biphasic histology, a multimodal approach, including cancer-directed surgery, is associated with improved long-term results in very selected patients with Biph-MPM.

Although 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) scan has been generally validated in the staging of malignant pleural mesothelioma (MPM), its diagnostic and prognostic performances are not clearly established. Aiming to identify possible factors causing 18F-fluorodeoxyglucose PET/CT false-negative results and influencing prognosis in MPM patients, we analysed clinical, radiometabolic and pathological features in 141 MPM patients who underwent diagnostic 18F-fluorodeoxyglucose PET/CT scan (January 2009-July 2018) at 2 high-volume institutions. The Fisher's exact test and the Cox model were used in statistical analysis. Overall detection rate was 88.3% with 16 patients (11.6%) presenting with a standardized uptake value (SUV) max <2.5 (PET-negative). PET-negative cases were more frequently detected in older patients (P = 0.027) and early-stage tumours (33.3% false-negative in stage I and 40.0% false-negative in T1-tumours, with P = 0.014 both). Mean SUVmax value was higher in sarcomatoid (11.8 ± 4.6) and biphasic MPM (9.3 ± 7.0), rather than in epithelioid MPM (6.9 ± 3.8, P < 0.001). Concerning overall survival, SUVmax (both as continuous and as categorical variable) was found to be a prognostic factor, in addition to stage (P = 0.032) and histology (P = 0.014) as confirmed by multivariable analysis (hazard ratio 2.65, confidence interval 1.23-5.70; P < 0.001). In the light of such results, we highlight that a low fluorodeoxyglucose uptake might be observed in more than 10% MPMs, especially in early-stage tumours affecting elderly patients. Furthermore, high SUVmax values significantly correlated with a worse prognosis.

Purpose: Pulmonary sarcomatoid carcinoma (PSC) is a rare and aggressive form of NSCLC. Rarity and poor characterization have limited the development of PSC-tailored treatment protocols, leaving patients with inadequate therapeutic options. In this study, we investigated the gene expression profile of PSCs, with the aim to characterize the molecular mechanisms responsible for their evolution and to identify new drugs for their treatment. Experimental Design: A training set of 17 biphasic PSCs was selected and tested for the expression of a large panel of 770 genes related to cancer progression using NanoString technology. Computational analyses were used to characterize a PSCs-gene specific signature from which pathways and drivers of PSC evolution were identified and validated using functional assays in vitro. This signature was validated in a separate set of 15 PSCs and 8 differentiated NSCLC and used to interrogate the cMAP database searching for FDA-approved small molecules able to counteract PSC phenotype. Results: We demonstrated that the transcriptional activation of an epithelial mesenchymal transition (EMT) program drives PSC phylogeny in vivo. We showed that loss of the epithelial-associated transcription factor (TF) OVOL2 characterizes the transition to sarcomatoid phenotype triggering the expression of EMT promoting TFs, including TWIST and ZEB and the expression of the membrane kinase DDR2. Finally, using a drug repurposing approach, we identified dasatinib as potential inhibitor of the PSC-gene expression signature and we confirmed in vitro that this drug efficiently restrains proliferation and reverts the sarcomatoid-associated phenotype. Conclusions: Our data provide new insights into PSC evolution and provide the rationale for further clinical studies with dasatinib.