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Deep sequencing analysis identified a specific subset of mutations distinctive of biphasic malignant pleural mesothelioma

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  • معلومة اضافية
    • Contributors:
      Torricelli, F.; Lococo, Filippo; Di Stefano, T. S.; Lorenzini, E.; Piana, S.; Valli, R.; Rena, O.; Veronesi, G.; Bille, A.; Ciarrocchi, A.
    • بيانات النشر:
      MDPI AG
    • الموضوع:
      2020
    • Collection:
      Università Cattolica del Sacro Cuore: PubliCatt
    • نبذة مختصرة :
      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.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/32872534; info:eu-repo/semantics/altIdentifier/wos/WOS:000579940100001; volume:12; issue:9; firstpage:1; lastpage:15; numberofpages:15; issueyear:2020; journal:CANCERS; http://hdl.handle.net/10807/178521; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85092330078
    • الرقم المعرف:
      10.3390/cancers12092454
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.89607DC4