Among classical exemplifications of tumor microenvironment (TME) in lymphoma pathogenesis, the “effacement model” resembled by diffuse large B cell lymphoma (DLBCL) implies strong cell autonomous survival and paucity of non-malignant elements. Nonetheless, the magnitude of TME exploration is increasing as novel technologies allow the high-resolution discrimination of cellular and extra-cellular determinants at the functional, more than morphological, level. Results from genomic-scale studies and recent clinical trials revitalized the interest in this field, prompting the use of new tools to dissect DLBCL composition and reveal novel prognostic association. Here we revisited major controversies related to TME in DLBCL, focusing on the use of bioinformatics to mine transcriptomic data and provide new insights to be translated into the clinical setting.

The Tumor Microenvironment of DLBCL in the Computational Era / Opinto, G.; Vegliante, M. C.; Negri, A.; Skrypets, T.; Loseto, G.; Pileri, S. A.; Guarini, A.; Ciavarella, S.. - In: FRONTIERS IN ONCOLOGY. - ISSN 2234-943X. - 10:(2020), pp. 1-7. [10.3389/fonc.2020.00351]

The Tumor Microenvironment of DLBCL in the Computational Era

Negri A.;Skrypets T.;
2020

Abstract

Among classical exemplifications of tumor microenvironment (TME) in lymphoma pathogenesis, the “effacement model” resembled by diffuse large B cell lymphoma (DLBCL) implies strong cell autonomous survival and paucity of non-malignant elements. Nonetheless, the magnitude of TME exploration is increasing as novel technologies allow the high-resolution discrimination of cellular and extra-cellular determinants at the functional, more than morphological, level. Results from genomic-scale studies and recent clinical trials revitalized the interest in this field, prompting the use of new tools to dissect DLBCL composition and reveal novel prognostic association. Here we revisited major controversies related to TME in DLBCL, focusing on the use of bioinformatics to mine transcriptomic data and provide new insights to be translated into the clinical setting.
2020
10
1
7
The Tumor Microenvironment of DLBCL in the Computational Era / Opinto, G.; Vegliante, M. C.; Negri, A.; Skrypets, T.; Loseto, G.; Pileri, S. A.; Guarini, A.; Ciavarella, S.. - In: FRONTIERS IN ONCOLOGY. - ISSN 2234-943X. - 10:(2020), pp. 1-7. [10.3389/fonc.2020.00351]
Opinto, G.; Vegliante, M. C.; Negri, A.; Skrypets, T.; Loseto, G.; Pileri, S. A.; Guarini, A.; Ciavarella, S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1257265
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