The Tumor Microenvironment of DLBCL in the Computational Era.

Giuseppina Opinto; Maria Carmela Vegliante; Antonio Negri; Tetiana Skrypets; Giacomo Loseto; Stefano Aldo Pileri; Attilio Guarini; Sabino Ciavarella

doi:10.3389/fonc.2020.00351

The Tumor Microenvironment of DLBCL in the Computational Era.

Giuseppina Opinto, Maria Carmela Vegliante, Antonio Negri, Tetiana Skrypets, Giacomo Loseto, Stefano Aldo Pileri, Attilio Guarini, Sabino Ciavarella

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Article number	351
Journal	Frontiers in Oncology
Volume	10
DOIs	https://doi.org/10.3389/fonc.2020.00351
Publication status	Published - Mar 31 2020

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title = "The Tumor Microenvironment of DLBCL in the Computational Era.",

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.",

author = "Giuseppina Opinto and Vegliante, {Maria Carmela} and Antonio Negri and Tetiana Skrypets and Giacomo Loseto and Pileri, {Stefano Aldo} and Attilio Guarini and Sabino Ciavarella",

note = "Copyright {\textcopyright} 2020 Opinto, Vegliante, Negri, Skrypets, Loseto, Pileri, Guarini and Ciavarella.",

year = "2020",

month = mar,

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doi = "10.3389/fonc.2020.00351",

language = "English",

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T1 - The Tumor Microenvironment of DLBCL in the Computational Era.

AU - Opinto, Giuseppina

AU - Vegliante, Maria Carmela

AU - Negri, Antonio

AU - Skrypets, Tetiana

AU - Loseto, Giacomo

AU - Pileri, Stefano Aldo

AU - Guarini, Attilio

AU - Ciavarella, Sabino

PY - 2020/3/31

Y1 - 2020/3/31

N2 - 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.

AB - 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.

U2 - 10.3389/fonc.2020.00351

DO - 10.3389/fonc.2020.00351

M3 - Review article

C2 - 32296632

VL - 10

JO - Frontiers in Oncology

JF - Frontiers in Oncology

SN - 2234-943X

M1 - 351

ER -

The Tumor Microenvironment of DLBCL in the Computational Era.

Abstract

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