Opinto Giuseppina, Vegliante Maria Carmela, Negri Antonio, Skrypets Tetiana, Loseto Giacomo, Pileri Stefano Aldo, Guarini Attilio, Ciavarella Sabino
Unit of Hematology and Cell Therapy, Laboratory of Hematological Diagnostics and Cell Characterization, Istituto Tumori "Giovanni Paolo II"-IRCCS, Bari, Italy.
CHIMOMO Department, University of Modena and Reggio Emilia, Modena, Italy.
Front Oncol. 2020 Mar 31;10:351. doi: 10.3389/fonc.2020.00351. eCollection 2020.
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.
在淋巴瘤发病机制中肿瘤微环境（TME）的经典例证中，弥漫性大B细胞淋巴瘤（DLBCL）所呈现的“消溶模型”意味着强大的细胞自主存活能力以及非恶性成分的稀缺。然而，随着新技术能够在功能层面而非形态层面实现对细胞和细胞外决定因素的高分辨率区分，对TME的探索程度正在不断加深。基因组规模研究的结果以及近期的临床试验重新激发了人们对该领域的兴趣，促使人们使用新工具来剖析DLBCL的组成并揭示新的预后关联。在此，我们重新审视了与DLBCL中TME相关的主要争议，重点关注利用生物信息学挖掘转录组数据并提供可转化至临床环境的新见解。
